CN117217625B - Enterprise safety supervision method and device based on data analysis - Google Patents

Enterprise safety supervision method and device based on data analysis Download PDF

Info

Publication number
CN117217625B
CN117217625B CN202311482280.XA CN202311482280A CN117217625B CN 117217625 B CN117217625 B CN 117217625B CN 202311482280 A CN202311482280 A CN 202311482280A CN 117217625 B CN117217625 B CN 117217625B
Authority
CN
China
Prior art keywords
enterprise
target
security
data
target enterprise
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202311482280.XA
Other languages
Chinese (zh)
Other versions
CN117217625A (en
Inventor
朱欣远
蚁泽纯
杨棚
黄孔星
张优训
吴曼德
李兰才
钱昭
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangdong Planning and Designing Institute of Telecommunications Co Ltd
Original Assignee
Guangdong Planning and Designing Institute of Telecommunications Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Guangdong Planning and Designing Institute of Telecommunications Co Ltd filed Critical Guangdong Planning and Designing Institute of Telecommunications Co Ltd
Priority to CN202311482280.XA priority Critical patent/CN117217625B/en
Publication of CN117217625A publication Critical patent/CN117217625A/en
Application granted granted Critical
Publication of CN117217625B publication Critical patent/CN117217625B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses an enterprise safety supervision method and device based on data analysis, wherein the method comprises the following steps: based on enterprise basic information of a target enterprise, matching enterprise security requirements corresponding to the target enterprise, and collecting enterprise data corresponding to the target enterprise according to the enterprise security requirements; according to enterprise security requirements, evaluating enterprise data corresponding to a target enterprise to obtain a security evaluation result corresponding to the target enterprise; generating a patrol and spot check scheme corresponding to the target enterprise according to the security assessment result corresponding to the target enterprise; analyzing the security problem corresponding to the target enterprise according to the security assessment result and the inspection spot check scheme; and generating a security rectifying and modifying scheme corresponding to the target enterprise according to the security problem corresponding to the target enterprise. Therefore, the implementation of the invention can provide a set of full-flow closed-loop supervision system aiming at enterprise safety supervision, thereby realizing intelligent supervision of enterprise production safety and being beneficial to improving timeliness and accuracy of enterprise safety supervision.

Description

Enterprise safety supervision method and device based on data analysis
Technical Field
The invention relates to the technical field of data analysis, in particular to an enterprise safety supervision method and device based on data analysis.
Background
At present, the safety supervision methods for production and operation units are mainly divided into two types: one is an off-line security supervision method, which is mainly used for checking the security state of enterprises by government law enforcement personnel; the other is an online safety supervision method, and the potential safety hazard problem is mainly discovered through daily inspection of enterprises. However, both of these two security supervision methods have a problem that the security supervision data of the enterprise is not updated timely, so that the enterprise cannot be accurately and timely supervised. Therefore, it is important to provide a technical scheme capable of realizing intelligent supervision of enterprise production safety so as to improve timeliness and accuracy of enterprise safety supervision.
Disclosure of Invention
The technical problem to be solved by the invention is to provide the enterprise safety supervision method and the device based on data analysis, which can realize intelligent supervision of enterprise production safety and are beneficial to improving timeliness and accuracy of enterprise safety supervision.
In order to solve the technical problems, the first aspect of the present invention discloses an enterprise security supervision method based on data analysis, which comprises:
acquiring enterprise data corresponding to a target enterprise according to the determined enterprise security requirements;
According to the enterprise safety requirements, evaluating enterprise data corresponding to the target enterprise to obtain a safety evaluation result corresponding to the target enterprise, wherein the safety evaluation result comprises an autonomous safety management evaluation result and a safety state evaluation result;
generating a patrol spot check scheme corresponding to the target enterprise according to the security assessment result corresponding to the target enterprise;
analyzing the security problem corresponding to the target enterprise according to the security assessment result corresponding to the target enterprise and the inspection and spot check scheme corresponding to the target enterprise;
and generating a security rectifying and modifying scheme corresponding to the target enterprise according to the security problem corresponding to the target enterprise.
As an alternative embodiment, in the first aspect of the present invention, the enterprise security requirement is determined by:
acquiring enterprise basic information of a target enterprise and legal and regulatory information aiming at production safety, wherein the enterprise basic information comprises one or more of enterprise type, enterprise scale information and enterprise management information;
screening target legal and regulation information matched with the target enterprise from the legal and regulation information according to the enterprise basic information of the target enterprise;
Determining enterprise safety requirements corresponding to the target enterprise according to the target legal and regulatory information;
and collecting enterprise data corresponding to the target enterprise according to the determined enterprise security requirement, including:
generating an autonomous security management scheme corresponding to the target enterprise according to the determined security production standard in the enterprise security requirements;
constructing a first data grabbing model corresponding to the target enterprise according to an autonomous security management scheme corresponding to the target enterprise;
constructing a second data grabbing model corresponding to the target enterprise according to the safety state indexes in the enterprise safety requirements;
and grabbing enterprise data corresponding to the target enterprise based on the first data grabbing model corresponding to the target enterprise and the second data grabbing model corresponding to the target enterprise.
In a first aspect of the present invention, the generating an autonomous security management scheme corresponding to the target enterprise according to the security production standard in the determined enterprise security requirement includes:
decomposing the acquired safety production standard into a plurality of safety production sub-standards based on preset decomposition conditions;
Screening the safety production sub-standard matched with the target enterprise from all the safety production sub-standards to serve as a target safety sub-standard corresponding to the target enterprise;
performing field extraction operation on each target security sub-standard based on a preset field extraction algorithm to obtain a target field set, wherein the target field set comprises at least one target field;
analyzing the target field set to obtain a field feature set corresponding to the target field set, wherein the field feature set corresponding to the target field set comprises one or more combinations of association degree features of each target field and the rest target fields, occurrence frequency features of each target field, occurrence position features of each target field and semantic features of each target field;
generating an autonomous security management scheme corresponding to a target enterprise according to the target field set and the field feature set corresponding to the target field set, wherein the autonomous security management scheme corresponding to the target enterprise comprises an autonomous security management task set corresponding to the target enterprise, and the autonomous security management task set corresponding to the target enterprise comprises autonomous security management tasks corresponding to a plurality of enterprise departments in the target enterprise.
In an optional implementation manner, in a first aspect of the present invention, the evaluating, according to the enterprise security requirement, enterprise data corresponding to the target enterprise to obtain a security evaluation result corresponding to the target enterprise includes:
according to the safety production standard, the autonomous safety management data in the enterprise data corresponding to the target enterprise is evaluated, and an autonomous safety management evaluation result corresponding to the target enterprise is obtained;
according to the safety state index, evaluating enterprise data corresponding to the target enterprise to obtain a safety state evaluation result corresponding to the target enterprise;
and evaluating the autonomous security management data in the enterprise data corresponding to the target enterprise according to the security production standard to obtain an autonomous security management evaluation result corresponding to the target enterprise, wherein the method comprises the following steps:
based on a preset data analysis and judgment model, analyzing autonomous safety management data in enterprise data corresponding to the target enterprise to obtain a safety management performing analysis result corresponding to the target enterprise;
and according to the safety production standard, based on a preset autonomous safety management evaluation model, evaluating a safety management performing analysis result corresponding to the target enterprise to obtain an autonomous safety management evaluation result corresponding to the target enterprise, wherein the autonomous safety management evaluation result corresponding to the target enterprise comprises one or more of enterprise safety features, enterprise management points and enterprise autonomous safety management levels corresponding to the target enterprise.
As an optional implementation manner, in the first aspect of the present invention, the enterprise data corresponding to the target enterprise includes one or more combinations of security profile information of the target enterprise, security incident data of the target enterprise, autonomous security management data corresponding to the target enterprise, and supervision record data corresponding to the target enterprise;
the safety accident data comprises one or more of accident type, accident casualty data, accident occurrence time, accident occurrence frequency and accident occurrence place; the autonomous safety management data comprises one or more of safety standard management data, hidden danger investigation data, risk management and control data, personnel allocation data, emergency management data, safety training data, safety investment data and dangerous operation management data;
the step of evaluating the enterprise data corresponding to the target enterprise according to the security state index to obtain a security state evaluation result corresponding to the target enterprise includes:
establishing a security state evaluation model corresponding to the target enterprise according to the security state index;
and evaluating enterprise data corresponding to the target enterprise based on the security state evaluation model corresponding to the target enterprise to obtain a security state evaluation result corresponding to the target enterprise.
In an optional implementation manner, in a first aspect of the present invention, the generating, according to a security evaluation result corresponding to the target enterprise, a patrol and spot check scheme corresponding to the target enterprise includes:
determining a security supervision type corresponding to the target enterprise according to a security assessment result corresponding to the target enterprise;
determining the patrol spot check grade corresponding to the target enterprise according to the security supervision type corresponding to the target enterprise;
generating a model based on a predetermined patrol scheme according to a security evaluation result corresponding to the target enterprise and a patrol and spot-check grade corresponding to the target enterprise, and generating a patrol scheme corresponding to the target enterprise;
generating a model based on a predetermined spot check scheme according to the spot check scheme corresponding to the target enterprise, the security evaluation result corresponding to the target enterprise and the spot check grade corresponding to the target enterprise, and generating the spot check scheme corresponding to the target enterprise;
the patrol and spot check scheme corresponding to the target enterprise comprises a patrol and spot check scheme corresponding to the target enterprise and a spot check scheme corresponding to the target enterprise.
In an optional implementation manner, in a first aspect of the present invention, the generating, according to the security problem corresponding to the target enterprise, a security modification scheme corresponding to the target enterprise includes:
According to the security problem corresponding to the target enterprise, analyzing the data association degree between each item of enterprise sub-data in the enterprise data corresponding to the target enterprise and the security problem;
according to the data association degree between all the enterprise sub-data and the security problems, determining problem traceability data corresponding to the security problems from enterprise data corresponding to the target enterprise;
and generating a security modification scheme corresponding to the target enterprise according to the problem tracing data and the acquired security management scheme corresponding to the target enterprise.
The second aspect of the invention discloses an enterprise security supervision device based on data analysis, the device comprises:
the acquisition module is used for acquiring enterprise data corresponding to a target enterprise according to the determined enterprise safety requirements, wherein the enterprise safety requirements comprise safety production standards and safety state indexes;
the evaluation module is used for evaluating the enterprise data corresponding to the target enterprise according to the enterprise security requirement to obtain a security evaluation result corresponding to the target enterprise, wherein the security evaluation result comprises an autonomous security management evaluation result and a security state evaluation result;
The generation module is used for generating a patrol and spot-check scheme corresponding to the target enterprise according to the security evaluation result corresponding to the target enterprise;
the analysis module is used for analyzing the security problem corresponding to the target enterprise according to the security assessment result corresponding to the target enterprise and the inspection and spot check scheme corresponding to the target enterprise;
the generation module is further configured to generate a security modification scheme corresponding to the target enterprise according to the security problem corresponding to the target enterprise.
As an alternative embodiment, in the second aspect of the present invention, the enterprise security requirement is determined by:
acquiring enterprise basic information of a target enterprise and legal and regulatory information aiming at production safety, wherein the enterprise basic information comprises one or more of enterprise type, enterprise scale information and enterprise management information;
screening target legal and regulation information matched with the target enterprise from the legal and regulation information according to the enterprise basic information of the target enterprise;
determining enterprise safety requirements corresponding to the target enterprise according to the target legal and regulatory information;
and the specific mode of the acquisition module for acquiring the enterprise data corresponding to the target enterprise according to the determined enterprise security requirement comprises the following steps:
Generating an autonomous security management scheme corresponding to the target enterprise according to the determined security production standard in the enterprise security requirements;
constructing a first data grabbing model corresponding to the target enterprise according to an autonomous security management scheme corresponding to the target enterprise;
constructing a second data grabbing model corresponding to the target enterprise according to the safety state indexes in the enterprise safety requirements;
and grabbing enterprise data corresponding to the target enterprise based on the first data grabbing model corresponding to the target enterprise and the second data grabbing model corresponding to the target enterprise.
In a second aspect of the present invention, as an optional implementation manner, the specific manner of generating, by the acquisition module, the autonomous security management scheme corresponding to the target enterprise according to the determined security production standard in the enterprise security requirement includes:
decomposing the acquired safety production standard into a plurality of safety production sub-standards based on preset decomposition conditions;
screening the safety production sub-standard matched with the target enterprise from all the safety production sub-standards to serve as a target safety sub-standard corresponding to the target enterprise;
performing field extraction operation on each target security sub-standard based on a preset field extraction algorithm to obtain a target field set, wherein the target field set comprises at least one target field;
Analyzing the target field set to obtain a field feature set corresponding to the target field set, wherein the field feature set corresponding to the target field set comprises one or more combinations of association degree features of each target field and the rest target fields, occurrence frequency features of each target field, occurrence position features of each target field and semantic features of each target field;
generating an autonomous security management scheme corresponding to a target enterprise according to the target field set and the field feature set corresponding to the target field set, wherein the autonomous security management scheme corresponding to the target enterprise comprises an autonomous security management task set corresponding to the target enterprise, and the autonomous security management task set corresponding to the target enterprise comprises autonomous security management tasks corresponding to a plurality of enterprise departments in the target enterprise.
In a second aspect of the present invention, the evaluation module evaluates, according to the enterprise security requirement, enterprise data corresponding to the target enterprise, and the specific manner of obtaining the security evaluation result corresponding to the target enterprise includes:
According to the safety production standard, the autonomous safety management data in the enterprise data corresponding to the target enterprise is evaluated, and an autonomous safety management evaluation result corresponding to the target enterprise is obtained;
according to the safety state index, evaluating enterprise data corresponding to the target enterprise to obtain a safety state evaluation result corresponding to the target enterprise;
the specific way for the evaluation module to evaluate the autonomous security management data in the enterprise data corresponding to the target enterprise according to the security production standard to obtain the autonomous security management evaluation result corresponding to the target enterprise includes:
based on a preset data analysis and judgment model, analyzing autonomous safety management data in enterprise data corresponding to the target enterprise to obtain a safety management performing analysis result corresponding to the target enterprise;
and according to the safety production standard, based on a preset autonomous safety management evaluation model, evaluating a safety management performing analysis result corresponding to the target enterprise to obtain an autonomous safety management evaluation result corresponding to the target enterprise, wherein the autonomous safety management evaluation result corresponding to the target enterprise comprises one or more of enterprise safety features, enterprise management points and enterprise autonomous safety management levels corresponding to the target enterprise.
As an optional implementation manner, in the second aspect of the present invention, the enterprise data corresponding to the target enterprise includes one or more combinations of security profile information of the target enterprise, security incident data of the target enterprise, autonomous security management data corresponding to the target enterprise, and supervision record data corresponding to the target enterprise;
the safety accident data comprises one or more of accident type, accident casualty data, accident occurrence time, accident occurrence frequency and accident occurrence place; the autonomous safety management data comprises one or more of safety standard management data, hidden danger investigation data, risk management and control data, personnel allocation data, emergency management data, safety training data, safety investment data and dangerous operation management data;
the specific way for the evaluation module to evaluate the enterprise data corresponding to the target enterprise according to the security state index to obtain the security state evaluation result corresponding to the target enterprise includes:
establishing a security state evaluation model corresponding to the target enterprise according to the security state index;
and evaluating enterprise data corresponding to the target enterprise based on the security state evaluation model corresponding to the target enterprise to obtain a security state evaluation result corresponding to the target enterprise.
In a second aspect of the present invention, as an optional implementation manner, the specific manner of generating, by the generating module, the inspection and spot check scheme corresponding to the target enterprise according to the security evaluation result corresponding to the target enterprise includes:
determining a security supervision type corresponding to the target enterprise according to a security assessment result corresponding to the target enterprise;
determining the patrol spot check grade corresponding to the target enterprise according to the security supervision type corresponding to the target enterprise;
generating a model based on a predetermined patrol scheme according to a security evaluation result corresponding to the target enterprise and a patrol and spot-check grade corresponding to the target enterprise, and generating a patrol scheme corresponding to the target enterprise;
generating a model based on a predetermined spot check scheme according to the spot check scheme corresponding to the target enterprise, the security evaluation result corresponding to the target enterprise and the spot check grade corresponding to the target enterprise, and generating the spot check scheme corresponding to the target enterprise;
the patrol and spot check scheme corresponding to the target enterprise comprises a patrol and spot check scheme corresponding to the target enterprise and a spot check scheme corresponding to the target enterprise.
In a second aspect of the present invention, as an optional implementation manner, the specific manner of generating, by the generating module, the security improvement scheme corresponding to the target enterprise according to the security problem corresponding to the target enterprise includes:
According to the security problem corresponding to the target enterprise, analyzing the data association degree between each item of enterprise sub-data in the enterprise data corresponding to the target enterprise and the security problem;
according to the data association degree between all the enterprise sub-data and the security problems, determining problem traceability data corresponding to the security problems from enterprise data corresponding to the target enterprise;
and generating a security modification scheme corresponding to the target enterprise according to the problem tracing data and the acquired security management scheme corresponding to the target enterprise.
In a third aspect, the present invention discloses another enterprise security supervision apparatus based on data analysis, the apparatus comprising:
a memory storing executable program code;
a processor coupled to the memory;
the processor invokes the executable program code stored in the memory to perform the enterprise security supervision method based on data analysis disclosed in the first aspect of the present invention.
A fourth aspect of the invention discloses a computer storage medium storing computer instructions that, when invoked, are used to perform the enterprise security supervision method based on data analysis disclosed in the first aspect of the invention.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
in the embodiment of the invention, enterprise data corresponding to a target enterprise are collected according to the determined enterprise security requirements; according to enterprise safety requirements, evaluating enterprise data corresponding to a target enterprise to obtain a safety evaluation result corresponding to the target enterprise, wherein the safety evaluation result comprises an autonomous safety management evaluation result and a safety state evaluation result; generating a patrol and spot check scheme corresponding to the target enterprise according to the security assessment result corresponding to the target enterprise; analyzing the security problem corresponding to the target enterprise according to the security assessment result corresponding to the target enterprise and the inspection and spot check scheme corresponding to the target enterprise; and generating a security rectifying and modifying scheme corresponding to the target enterprise according to the security problem corresponding to the target enterprise. Therefore, the implementation of the method can acquire the enterprise data corresponding to the target enterprise according to the determined enterprise safety requirements, evaluate the enterprise data according to the enterprise safety requirements to obtain the safety evaluation result corresponding to the target enterprise, generate the inspection and spot check scheme corresponding to the target enterprise according to the safety evaluation result, analyze and obtain the safety problem corresponding to the target enterprise by combining the safety evaluation result and the inspection and spot check scheme, and generate the safety correction scheme corresponding to the target enterprise according to the safety problem.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of an enterprise security supervision method based on data analysis according to an embodiment of the present invention;
FIG. 2 is a flow chart of another enterprise security supervision method based on data analysis according to an embodiment of the present invention;
FIG. 3 is a schematic flow chart of autonomous security management assessment of an enterprise security supervision method based on data analysis according to an embodiment of the present invention;
FIG. 4 is a schematic flow chart of a security status evaluation of an enterprise security supervision method based on data analysis according to an embodiment of the present invention;
FIG. 5 is a flow chart of another enterprise security supervision method based on data analysis according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of an architecture of an information-based monitoring system of an enterprise security monitoring method based on data analysis according to an embodiment of the present invention;
FIG. 7 is a schematic structural diagram of an enterprise security supervision apparatus based on data analysis according to an embodiment of the present invention;
fig. 8 is a schematic structural diagram of another enterprise security supervision apparatus based on data analysis according to an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The terms first, second and the like in the description and in the claims and in the above-described figures are used for distinguishing between different objects and not necessarily for describing a sequential or chronological order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, apparatus, article, or article that comprises a list of steps or elements is not limited to only those listed but may optionally include other steps or elements not listed or inherent to such process, method, article, or article.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the invention. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
The invention discloses an enterprise safety supervision method and device based on data analysis, which can collect enterprise data corresponding to a target enterprise according to determined enterprise safety requirements, evaluate the enterprise data according to the enterprise safety requirements to obtain a safety evaluation result corresponding to the target enterprise, generate a patrol and spot check scheme corresponding to the target enterprise according to the safety evaluation result, analyze and obtain a safety problem corresponding to the target enterprise by combining the safety evaluation result and the patrol and spot check scheme, and generate a safety correction scheme corresponding to the target enterprise according to the safety problem. The following will describe in detail.
Example 1
Referring to fig. 1, fig. 1 is a flow chart of an enterprise security supervision method based on data analysis according to an embodiment of the present invention. The enterprise security supervision method based on data analysis described in fig. 1 may be applied to an enterprise security supervision apparatus based on data analysis, where the apparatus may include one of a supervision device, a supervision terminal, a supervision system, and a server, where the server may include a local server or a cloud server, and the method may also be applied to an informationized supervision system, where an exemplary system architecture of the informationized supervision system may be shown in fig. 6, where fig. 6 is a schematic architecture diagram of an informationized supervision system disclosed in an embodiment of the present invention, and embodiments of the present invention are not limited thereto. As shown in fig. 1, the enterprise security supervision method based on data analysis may include the following operations:
101. and acquiring enterprise data corresponding to the target enterprise according to the determined enterprise security requirements.
In the embodiment of the invention, the enterprise security requirements can comprise security production standards and/or security state indexes; wherein, the safety production standard may be a standard and/or requirement related to enterprise safety production, and exemplary, the safety production standard may be a legal regulation or regulatory requirement related to enterprise safety production, and the embodiment of the invention is not limited; the safety status indicator may be an indicator for evaluating the production safety status of the enterprise for a current or preset period of time.
In the embodiment of the invention, the enterprise data corresponding to the target enterprise comprises one or more of the combination of security archive information of the target enterprise, security accident data of the target enterprise, autonomous security management data corresponding to the target enterprise and supervision record data corresponding to the target enterprise; wherein the safety accident data comprises one or more of accident type, accident casualty data, accident occurrence time, accident occurrence frequency and accident occurrence place; the autonomous safety management data includes one or more combinations of safety standard management data, hidden danger investigation data, risk management data, personnel equipment data, emergency management data, safety training data, safety input data and dangerous operation management data, and the embodiment of the invention is not limited.
102. And evaluating enterprise data corresponding to the target enterprise according to the enterprise security requirement to obtain a security evaluation result corresponding to the target enterprise.
In the embodiment of the invention, the security evaluation result comprises an autonomous security management evaluation result and a security state evaluation result.
103. And generating a patrol and spot check scheme corresponding to the target enterprise according to the security evaluation result corresponding to the target enterprise.
In the embodiment of the invention, the inspection and spot check scheme can be a scheme for monitoring and managing the safe production condition of the target enterprise.
104. And analyzing the security problem corresponding to the target enterprise according to the security assessment result corresponding to the target enterprise and the inspection and spot check scheme corresponding to the target enterprise.
In the embodiment of the invention, the target enterprise can have one or more corresponding safety problems, and the embodiment of the invention is not limited; the safety problem corresponding to the target enterprise is used for representing the potential safety hazard problem existing in the target enterprise at present and the potential safety hazard problem which occurs in a certain probability in a certain time period in the future.
105. And generating a security rectifying and modifying scheme corresponding to the target enterprise according to the security problem corresponding to the target enterprise.
Therefore, the method described by the embodiment of the invention can collect the enterprise data corresponding to the target enterprise according to the determined enterprise safety requirement, evaluate the enterprise data according to the enterprise safety requirement to obtain the safety evaluation result corresponding to the target enterprise, generate the inspection and verification scheme corresponding to the target enterprise according to the safety evaluation result, analyze and obtain the safety problem corresponding to the target enterprise by combining the safety evaluation result and the inspection and verification scheme, and generate the safety correction scheme corresponding to the target enterprise according to the safety problem.
In an alternative embodiment, the generating the inspection and spot check scheme corresponding to the target enterprise according to the security evaluation result corresponding to the target enterprise may include the following operations:
determining a security supervision type corresponding to the target enterprise according to a security assessment result corresponding to the target enterprise;
determining the patrol and spot-check grade corresponding to the target enterprise according to the security supervision type corresponding to the target enterprise;
generating a model based on a predetermined patrol scheme according to a security evaluation result corresponding to the target enterprise and a patrol and spot check grade corresponding to the target enterprise, and generating a patrol scheme corresponding to the target enterprise;
generating a model based on a predetermined spot check scheme according to the spot check scheme corresponding to the target enterprise, the security evaluation result corresponding to the target enterprise and the spot check grade corresponding to the target enterprise, and generating the spot check scheme corresponding to the target enterprise;
the patrol and spot check schemes corresponding to the target enterprises comprise patrol and spot check schemes corresponding to the target enterprises.
The inspection scheme comprises a plurality of inspection tasks, and the spot check scheme comprises a plurality of spot check tasks; optionally, the patrol task corresponding to the target enterprise can be dispatched based on the patrol scheme generation model, so that the patrol scheme corresponding to the target enterprise is generated; the spot check task corresponding to the target enterprise can be dispatched based on the spot check scheme generation model, so that the spot check scheme corresponding to the target enterprise can be generated, and the embodiment of the invention is not limited.
Optionally, after the inspection scheme corresponding to the target enterprise is executed, an inspection result corresponding to the inspection scheme is obtained, and according to the inspection result, the security evaluation result and the inspection grade corresponding to the target enterprise, a model is generated based on the inspection scheme, so as to generate an inspection scheme corresponding to the target enterprise; and after executing the spot check scheme corresponding to the target enterprise, acquiring a spot check result corresponding to the spot check scheme. Further optionally, the inspection result may include an inspection found first security problem and a problem handling condition corresponding to a historical security problem of the target enterprise; the spot check result may include one or more combinations of the second security problem found by spot check, penalty information corresponding to the second security problem, and problem handling situation corresponding to the historical security problem of the target enterprise, which is not limited in the embodiment of the present invention.
Illustratively, the inspection spot levels may be divided into four levels: the first level to the fourth level, wherein the first level has the largest inspection and sampling range and the highest inspection and sampling frequency, and the fourth level has the smallest inspection and sampling range and the lowest inspection and sampling frequency; and the first level to the fourth level may be denoted by other names, for example: red, orange, yellow, and blue levels, embodiments of the present invention are not limited. Wherein, for example, the first level corresponding patrol scheme may be a monthly patrol; the patrol scheme corresponding to the second level can be patrol once for each quarter; the inspection scheme corresponding to the third level can be inspected every half year; the inspection scheme corresponding to the fourth level can be one inspection per year; the spot check schemes corresponding to the first level to the fourth level can sequentially reduce the spot check frequency, and the embodiment of the invention is not limited.
It can be seen that, this optional embodiment can determine the security supervision type corresponding to the target enterprise according to the security assessment result corresponding to the target enterprise, then determine the inspection and investigation level corresponding to the target enterprise according to the security supervision type, then generate the inspection and investigation scheme corresponding to the target enterprise according to the security assessment result and the inspection and investigation level and based on the inspection and investigation scheme generation model, and generate the inspection and investigation scheme corresponding to the target enterprise according to the inspection and investigation scheme, the security assessment result and the inspection and investigation level and based on the inspection and investigation scheme generation model, on the basis of realizing the intelligent hierarchical classification of the enterprise about production security, the intelligent generation of the inspection and investigation scheme is realized, the analysis accuracy of the enterprise security assessment result is improved, thereby improving the hierarchical classification accuracy of the enterprise production security, and further improving the generation accuracy of the inspection and investigation scheme, thereby being favorable for improving the supervision accuracy of the enterprise production security, and the security problem of the enterprise is screened accurately and efficiently.
In another alternative embodiment, the generating the security modification scheme corresponding to the target enterprise according to the security problem corresponding to the target enterprise may include the following operations:
according to the security problem corresponding to the target enterprise, analyzing the data association degree between each item of enterprise sub-data and the security problem in the enterprise data corresponding to the target enterprise;
According to the data association degree between all enterprise sub-data and the security problems, determining problem traceability data corresponding to the security problems from enterprise data corresponding to a target enterprise;
and generating a security correction scheme corresponding to the target enterprise according to the problem tracing data and the acquired security management scheme corresponding to the target enterprise.
The problem tracing data corresponding to the security problem may include at least one enterprise sub-data; the problem traceability data corresponding to the safety problem is used for representing source data which causes the safety problem in enterprise data corresponding to a target enterprise; the security management scheme corresponding to the target enterprise may include an autonomous security management scheme corresponding to the target enterprise and/or a supervisory security management scheme of a third party authority for the target enterprise, and the security management scheme may include a plurality of security management means; optionally, a production step or a security management means that generates a security problem may be screened based on the problem tracing data.
Therefore, according to the optional embodiment, the data association degree between each enterprise sub-data and the security problem can be obtained through analysis according to the security problem corresponding to the target enterprise, and the problem traceability data corresponding to the security problem is determined from the enterprise data according to all the data association ends, so that the corresponding security rectification scheme is generated according to the problem traceability data and the security management scheme corresponding to the target enterprise, the analysis accuracy of the enterprise security problem can be improved, the security problem source is accurately screened out, the rectification accuracy of the security problem is improved, and the rectification accuracy of the security problem is improved, so that the production security of the enterprise is improved.
Example two
Referring to fig. 2, fig. 2 is a flow chart of an enterprise security supervision method based on data analysis according to an embodiment of the present invention. The enterprise security supervision method based on data analysis described in fig. 2 may be applied to an enterprise security supervision apparatus based on data analysis, where the apparatus may include one of a supervision device, a supervision terminal, a supervision system, and a server, where the server may include a local server or a cloud server, and the method may also be applied to an informationized supervision system, where an exemplary system architecture of the informationized supervision system may be shown in fig. 6, where fig. 6 is a schematic architecture diagram of an informationized supervision system disclosed in an embodiment of the present invention, and embodiments of the present invention are not limited thereto. As shown in fig. 2, the enterprise security supervision method based on data analysis may include the following operations:
201. and generating an autonomous security management scheme corresponding to the target enterprise according to the determined security production standard in the enterprise security requirements.
In the embodiment of the invention, the autonomous security management scheme corresponding to the target enterprise is used for representing the scheme of the target enterprise for carrying out security management on the enterprise; the autonomous safety management scheme comprises at least one autonomous safety management task and/or at least one autonomous safety management standard, the autonomous safety management task can be one of a daily self-checking task, a safety inspection task, a safety training task, an emergency rescue task, a hidden danger checking task and a hidden danger correcting task, and the autonomous safety management standard can comprise one or a combination of more of inspection frequency, inspection period, inspection time, hidden danger correcting mode and hidden danger correcting standard.
202. And constructing a first data grabbing model corresponding to the target enterprise according to the autonomous security management scheme corresponding to the target enterprise.
In the embodiment of the present invention, the first capture data type captured by the first data capture model may correspond to a management data type corresponding to the autonomous security management scheme, and exemplary, the first capture data type corresponding to the first data capture model may include one or more combinations of a security standard management data type, a hidden danger investigation type, a risk management data type, a personnel configuration data type, an emergency management data type, a security training data type, a security input data type, and a dangerous operation management data type.
203. And constructing a second data grabbing model corresponding to the target enterprise according to the safety state indexes in the enterprise safety requirements.
In the embodiment of the present invention, the second data type corresponding to the second data grabbing model may correspond to an index data type and/or an enterprise data type corresponding to a security status index, and exemplary, the second data type corresponding to the second data grabbing model may include one or more combinations of a security accident data type, an autonomous security management data type and a supervision record data type.
204. And grabbing enterprise data corresponding to the target enterprise based on the first data grabbing model corresponding to the target enterprise and the second data grabbing model corresponding to the target enterprise.
In the embodiment of the invention, optionally, enterprise data corresponding to a target enterprise can be grabbed based on a first data grabbing model corresponding to the target enterprise and a second data grabbing model corresponding to the target enterprise according to preset data grabbing parameters; the data grabbing parameters may include one or more of grabbing frequency, grabbing period, grabbing time and grabbing data range, which is not limited in the embodiment of the present invention. The method and the device can be used for capturing enterprise data corresponding to the target enterprise at the current moment, and capturing enterprise data corresponding to the target enterprise within a certain preset time period, and the embodiment of the invention is not limited.
205. And evaluating enterprise data corresponding to the target enterprise according to the enterprise security requirement to obtain a security evaluation result corresponding to the target enterprise.
206. And generating a patrol and spot check scheme corresponding to the target enterprise according to the security evaluation result corresponding to the target enterprise.
207. And analyzing the security problem corresponding to the target enterprise according to the security assessment result corresponding to the target enterprise and the inspection and spot check scheme corresponding to the target enterprise.
208. And generating a security rectifying and modifying scheme corresponding to the target enterprise according to the security problem corresponding to the target enterprise.
In the embodiment of the present invention, for other detailed descriptions of step 206-step 208, please refer to the detailed descriptions of step 103-step 105 in the first embodiment, and the detailed description of the embodiment of the present invention is omitted.
It can be seen that, implementing the method described in the embodiment of the present invention can collect the enterprise data corresponding to the target enterprise according to the determined enterprise security requirement, then evaluate the enterprise data according to the enterprise security requirement, obtain the security evaluation result corresponding to the target enterprise, and generate the inspection and sampling plan corresponding to the target enterprise according to the security evaluation result, then combine the security evaluation result and the inspection and sampling plan, analyze and obtain the security problem corresponding to the target enterprise, and generate the security improvement plan corresponding to the target enterprise according to the security problem. In addition, an autonomous safety management scheme corresponding to the target enterprise can be generated according to the safety production standard, a first data grabbing model is built according to the autonomous safety management scheme, a second data grabbing model is built according to the safety state index, enterprise data corresponding to the target enterprise is grabbed based on the first data grabbing model and the second data grabbing model, the acquisition accuracy and the acquisition flexibility of the enterprise data can be improved, the reliability of the enterprise data is improved, the evaluation efficiency and the evaluation accuracy of enterprise production safety are improved, and the supervision accuracy of the enterprise production safety is improved.
In an alternative embodiment, the enterprise security requirements may be determined by:
acquiring enterprise basic information of a target enterprise and legal information aiming at production safety, wherein the enterprise basic information comprises one or more of enterprise type, enterprise scale information and enterprise management information;
screening out target legal and regulation information matched with the target enterprise from the legal and regulation information according to the enterprise basic information of the target enterprise;
and determining the enterprise safety requirements corresponding to the target enterprise according to the target legal and regulation information.
The enterprise management information is used for indicating the management condition of the enterprise, and the enterprise management information may include one or more of enterprise management type, enterprise management record, enterprise management status and enterprise turnover. The method and the system for determining the business level of the enterprise according to the legal and regulation information are not limited in the embodiment of the invention.
Therefore, according to the optional embodiment, the target legal and regulation information matched with the target enterprise can be screened out from the acquired legal and regulation information related to the production safety according to the acquired basic information of the enterprise, the enterprise safety requirement corresponding to the target enterprise is determined according to the target legal and regulation information, the matching accuracy of the legal and regulation can be improved, the adaptation degree of the enterprise safety requirement and the target enterprise is improved, the determination accuracy of the enterprise safety requirement is improved, and the supervision accuracy of the enterprise production safety is improved.
In another alternative embodiment, generating an autonomous security management scheme corresponding to the target enterprise according to the determined security production standard in the enterprise security requirements may include the following operations:
decomposing the acquired safety production standard into a plurality of safety production sub-standards based on preset decomposition conditions;
screening the safety production sub-standard matched with the target enterprise from all the safety production sub-standards to serve as a target safety sub-standard corresponding to the target enterprise;
performing field extraction operation on each target security sub-standard based on a preset field extraction algorithm to obtain a target field set, wherein the target field set comprises at least one target field;
Analyzing the target field set to obtain a field feature set corresponding to the target field set, wherein the field feature set corresponding to the target field set comprises one or more combinations of association degree features of each target field and the rest target fields, appearance frequency features of each target field, appearance position features of each target field and semantic features of each target field;
and generating an autonomous security management scheme corresponding to the target enterprise according to the target field set and the field feature set corresponding to the target field set, wherein the autonomous security management scheme corresponding to the target enterprise comprises an autonomous security management task set corresponding to the target enterprise, and the autonomous security management task set corresponding to the target enterprise comprises autonomous security management tasks corresponding to a plurality of enterprise departments in the target enterprise.
The decomposition operation for the safety production standard may include a multi-level decomposition operation, i.e. the safety production standard may be decomposed multiple times and in multiple levels, for example: carrying out structuring treatment on the safety production standard; for example, the safety production standard may be decomposed into multiple terms, each term may be decomposed into multiple production responsibilities, and each production responsibilities may be decomposed into multiple safety production tasks, where the safety production tasks are tasks that an enterprise needs to complete in the safety production standard and related to safety production, and the safety production tasks may be determined to be safety production sub-standards, where embodiments of the present invention are not limited.
The association degree feature of each target field and the remaining target fields may be used to represent the association degree of each target field and the remaining target fields, where the association degree feature may include one or more combinations of semantic association degree features, part-of-speech association degree features, numerical association degree features and position association degree features, and the embodiment of the present invention is not limited.
Optionally, a field combing operation is performed on the target field set, and when a numeric field for representing a numeric value exists in the target field set, the target field set may be analyzed after a quantization operation is performed on the numeric field, so as to obtain a field feature set corresponding to the target field set. Optionally, the field feature set corresponding to the target field set may further include a field quantization index corresponding to each target field.
Therefore, the optional embodiment can decompose the safety production standard into a plurality of safety production sub-standards based on decomposition conditions, screen the safety production sub-standards matched with the target enterprise from all the safety production sub-standards to serve as target safety sub-standards corresponding to the target enterprise, execute field extraction operation on each target safety sub-standard based on a field extraction algorithm to obtain a target field set, analyze the target field set to obtain a field feature set corresponding to the target field set, and generate an autonomous safety management scheme corresponding to the target enterprise according to the target field set and the field feature set corresponding to the target field set, so that the analysis accuracy of the safety production standard can be improved, an autonomous safety management scheme suitable for the target enterprise can be generated in a targeted manner, the generation accuracy of the autonomous safety management scheme can be improved, the autonomous safety management level of the enterprise can be improved, and the acquisition accuracy of enterprise data can be improved.
In yet another alternative embodiment, according to the enterprise security requirement, evaluating the enterprise data corresponding to the target enterprise to obtain the security evaluation result corresponding to the target enterprise may include the following operations:
according to the safety production standard, the autonomous safety management data in the enterprise data corresponding to the target enterprise is evaluated, and an autonomous safety management evaluation result corresponding to the target enterprise is obtained;
according to the safety state index, evaluating enterprise data corresponding to the target enterprise to obtain a safety state evaluation result corresponding to the target enterprise;
according to the safety production standard, the method evaluates the autonomous safety management data in the enterprise data corresponding to the target enterprise to obtain the autonomous safety management evaluation result corresponding to the target enterprise, and comprises the following steps:
based on a preset data analysis and study model, analyzing autonomous safety management data in enterprise data corresponding to a target enterprise to obtain a safety management performing analysis result corresponding to the target enterprise;
and according to the safety production standard, based on a preset autonomous safety management evaluation model, evaluating a safety management performing analysis result corresponding to the target enterprise to obtain an autonomous safety management evaluation result corresponding to the target enterprise, wherein the autonomous safety management evaluation result corresponding to the target enterprise comprises one or more of enterprise safety characteristics, enterprise management points and enterprise autonomous safety management levels corresponding to the target enterprise.
The data analysis and research model can be a data analysis model constructed based on big data technology. The safety management performance analysis result can be used for representing the actual scheme completion condition of the target enterprise aiming at the autonomous safety management scheme; the autonomous security management evaluation result can be used for representing the matching degree of the actual management condition of the target enterprise and the security production standard. The security state evaluation result corresponding to the target enterprise may be a security state evaluation result corresponding to the current moment or a security state evaluation result corresponding to a preset time period, and the embodiment of the invention is not limited; the autonomous security management evaluation results may include a combination of one or more of legal task evaluation results, recommended task evaluation results, and liability penalty evaluation results.
Optionally, the security state evaluation result corresponding to the target enterprise may be applied to classified and hierarchical management of the target enterprise.
Therefore, the optional embodiment can evaluate the autonomous safety management data according to the safety production standard to obtain an autonomous safety management evaluation result, and evaluate the enterprise data according to the safety state index to obtain a safety state evaluation result, so that the evaluation accuracy and the evaluation flexibility of the enterprise production safety can be improved, and the generation accuracy of the inspection and spot check scheme can be improved; and the analysis accuracy of the completion condition of the management task can be improved, so that the evaluation accuracy of the enterprise autonomous safety management capability is improved, and the evaluation accuracy of the enterprise production safety is improved.
In this alternative embodiment, optionally, the method may further comprise the operations of:
determining a task point threshold value corresponding to each autonomous safety management task in the autonomous safety management scheme according to the autonomous safety management scheme corresponding to the target enterprise;
according to the safety production standard, based on a preset autonomous safety management evaluation model, evaluating the safety management performing analysis result corresponding to the target enterprise to obtain an autonomous safety management evaluation result corresponding to the target enterprise, wherein the method comprises the following operations:
and according to the safety production standard and task point thresholds corresponding to all the autonomous safety management tasks, based on a preset autonomous safety management evaluation model, evaluating the safety management performing analysis result corresponding to the target enterprise to obtain an autonomous safety management evaluation result corresponding to the target enterprise.
The task score threshold corresponding to each autonomous safety management task is the highest score threshold which can be acquired by the enterprise about the autonomous safety management task, and the task score threshold corresponding to each autonomous safety management task can be used as a scoring standard for the task completion condition corresponding to each autonomous safety management task. For example, a total score for scoring the target enterprise based on the task score threshold may be used as one of the autonomous security management assessment results.
Therefore, the optional embodiment can also determine the task point threshold corresponding to each autonomous safety management task according to the autonomous safety management scheme, evaluate the safety management performance analysis result by combining the safety production standard and all task point thresholds to obtain the autonomous safety management evaluation result, and quantify the evaluation standard to improve the setting accuracy of the evaluation standard, thereby improving the evaluation accuracy of the autonomous safety management capability of the enterprise and further being beneficial to improving the evaluation accuracy of the production safety of the enterprise.
In an embodiment of the present invention, when a schematic flow chart of autonomous security management evaluation in the method is shown in fig. 3, determining an autonomous security management evaluation result corresponding to a target enterprise may include the following operations:
the method comprises the steps of obtaining a safety production standard (for example, laws and regulations related to safety production), performing structural processing on the safety production standard to obtain a plurality of clauses corresponding to the safety production standard, decomposing the plurality of clauses step by step to obtain a plurality of production responsibilities and a plurality of safety production tasks, determining the plurality of safety production tasks as a plurality of safety production sub-standards, and screening target safety production sub-standards matched with a target enterprise from all the safety production sub-standards;
Performing field extraction operation on each target safety production sub-standard based on a field extraction algorithm to obtain a target field set, and performing field quantization operation on the target field set; after analyzing the target field, a field feature set corresponding to the target field set (the field feature set includes a field quantization index) can be obtained, and an autonomous security management scheme corresponding to the target enterprise is generated according to the target field set and the field feature set corresponding to the target field set (the autonomous security management scheme may include a responsibility performing rule in fig. 3);
then, whether the target enterprise completes an autonomous safety management scheme is judged firstly, autonomous safety management data are captured based on the constructed first data capture model, and a task integral threshold corresponding to each autonomous safety management task in the determined autonomous safety management scheme is obtained;
and then analyzing the autonomous safety management data based on a preset data analysis and judgment model to obtain a safety management performing analysis result corresponding to the target enterprise so as to analyze the task completion condition of the target enterprise aiming at the autonomous safety management scheme, and further based on a preset autonomous safety management evaluation model, evaluating the safety management performing analysis result corresponding to the target enterprise to obtain an autonomous safety management evaluation result corresponding to the target enterprise.
In this optional embodiment, optionally, the enterprise data corresponding to the target enterprise includes one or more combinations of security profile information of the target enterprise, security incident data of the target enterprise, autonomous security management data corresponding to the target enterprise, and regulatory record data corresponding to the target enterprise;
the safety accident data comprises one or more of accident type, accident casualty data, accident occurrence time, accident occurrence frequency and accident occurrence place; the autonomous safety management data comprises one or more of safety standard management data, hidden danger investigation data, risk management and control data, personnel allocation data, emergency management data, safety training data, safety investment data and dangerous operation management data;
according to the security state index, the enterprise data corresponding to the target enterprise is evaluated to obtain a security state evaluation result corresponding to the target enterprise, which may include the following operations:
establishing a security state evaluation model corresponding to the target enterprise according to the security state index;
and evaluating enterprise data corresponding to the target enterprise based on the security state evaluation model corresponding to the target enterprise to obtain a security state evaluation result corresponding to the target enterprise.
Optionally, before the enterprise data corresponding to the target enterprise is evaluated, data preprocessing may be performed on the enterprise data, so as to obtain preprocessed enterprise data, and then the preprocessed enterprise data is evaluated.
The security state evaluation model corresponding to the target enterprise can evaluate each enterprise sub-data respectively, and can also evaluate all enterprise sub-data comprehensively, which is not limited by the embodiment of the invention. The method, the device and the system can obtain a comparison result by comparing the security state index with the enterprise data, and evaluate the comparison result based on the security state evaluation model to obtain a security state evaluation result corresponding to the target enterprise, and the embodiment of the invention is not limited.
Optionally, the security state evaluation result may be used to display a security state, classify the enterprise in a hierarchical manner, analyze and sort the enterprise problem list, and promote and guide the security state of the enterprise.
In an embodiment of the present invention, when a flow chart of security state evaluation in the method is shown in fig. 4, determining a security state evaluation result corresponding to a target enterprise may include the following operations:
based on the constructed first data grabbing model and second data grabbing model, grabbing enterprise data corresponding to the target enterprise, associating the data with an algorithm, preprocessing the enterprise data (such as evaluation and calculation operations in fig. 4, wherein the evaluation and calculation operations can include operations such as index quantization processing, key data grabbing, data item assignment, data value grabbing and the like), evaluating the enterprise data based on the security state evaluation model to obtain a security state evaluation result corresponding to the target enterprise, and then applying the security state evaluation result corresponding to the target enterprise.
Therefore, the optional embodiment can also establish a security state evaluation model according to the security state index, evaluate enterprise data based on the security state evaluation model to obtain a security state evaluation result, and improve the adaptation degree of the security state evaluation model and the security state index so as to improve the construction accuracy of the evaluation model, thereby improving the analysis accuracy of the enterprise data, further improving the evaluation accuracy of the enterprise security state, and being beneficial to improving the evaluation accuracy of the enterprise production security.
In this optional embodiment, further optionally, when the enterprise data corresponding to the target enterprise includes security incident data of the target enterprise, based on the security state evaluation model corresponding to the target enterprise, evaluating the enterprise data corresponding to the target enterprise to obtain a security state evaluation result corresponding to the target enterprise may include the following operations:
based on a security state evaluation model corresponding to a target enterprise, determining evaluation weights corresponding to all enterprise sub-data in the enterprise data, wherein the evaluation weights corresponding to all enterprise sub-data at least comprise security accident evaluation weights corresponding to security accident data;
for each security accident sub-data in the security accident data, determining an evaluation sub-standard corresponding to the security accident sub-data and an evaluation sub-weight corresponding to the security accident sub-data based on a security state evaluation model corresponding to a target enterprise according to the data type of the security accident sub-data and the security accident evaluation weight corresponding to the security accident data;
For each security accident sub-data in the security accident data, determining an evaluation difference parameter corresponding to the security accident sub-data according to the security accident sub-data, an evaluation sub-standard corresponding to the security accident sub-data and an evaluation sub-weight corresponding to the security accident sub-data;
according to the security accident data, analyzing security accident frequent grades corresponding to the target enterprise in the current time period;
acquiring a historical evaluation time period corresponding to the safety accident data of the target enterprise and a historical evaluation result corresponding to the safety accident data of the target enterprise in the historical evaluation time period, wherein the historical evaluation result corresponding to the safety accident data comprises a historical evaluation sub-result corresponding to each safety accident sub-data;
predicting safety accident prediction information of the safety accidents of the target enterprise in a preset future time period according to the safety accident frequent grade of the target enterprise corresponding to the current time period and the historical evaluation result corresponding to the safety accident data in the historical evaluation time period;
for each security accident sub-data in the security accident data, determining a security accident assessment result corresponding to the target enterprise based on a security state assessment model corresponding to the target enterprise according to the security accident frequent grade, all assessment difference parameters and security accident prediction information;
The security state evaluation result corresponding to the target enterprise comprises a security accident evaluation result corresponding to the target enterprise.
It can be seen that, this optional embodiment can also determine, based on the security state evaluation model, an evaluation sub-standard and an evaluation sub-weight corresponding to each piece of security accident sub-data according to the determined security accident evaluation weight and the data type of the security accident sub-data, then determine, according to the evaluation sub-standard and the evaluation sub-weight, an evaluation difference parameter corresponding to each piece of security accident sub-data, analyze a corresponding security accident frequency level of the security accident data, and estimate, according to the obtained historical evaluation result and the security accident frequency level corresponding to the security accident data of the target enterprise, security accident prediction information of the security accident occurring in a preset future time period of the target enterprise, and then determine, based on the security state evaluation model, a security accident evaluation result corresponding to the target enterprise according to the security accident frequency level, the evaluation difference parameter and the security accident prediction information, so as to improve analysis accuracy and analysis flexibility of the security accident data, thereby improving analysis accuracy of the enterprise data and further improving evaluation accuracy of the security state of the enterprise.
In an embodiment of the present invention, for example, fig. 5 is a schematic flow diagram of an enterprise security supervision method based on data analysis according to the embodiment of the present invention, and when the schematic flow diagram of the method is shown in fig. 5, the method may include the following operations:
the enterprise safety autonomous evaluation method comprises the steps of performing autonomous safety management evaluation (such as enterprise safety autonomous evaluation in fig. 5) and safety state evaluation (such as enterprise safety state evaluation in fig. 5), wherein the enterprise safety autonomous evaluation specifically comprises two parts of enterprise safety autonomous management and data analysis and study and judgment, performing comprehensive inspection and law enforcement inspection (i.e. spot check) on an autonomous safety management evaluation result and/or a safety state evaluation result, analyzing the inspection result and the spot check result to obtain safety problems corresponding to the enterprise, feeding the safety problems back to the enterprise, supervising the enterprise to perform rectification, and performing autonomous safety management evaluation and safety state evaluation again;
and, when the flow chart of the method is shown in fig. 5, the method can be applied to the informationized supervision system shown in fig. 6, where fig. 6 is a schematic architecture diagram of the informationized supervision system disclosed in the embodiment of the present invention, and the informationized supervision system may include the following modules:
The system comprises an enterprise safety autonomous task management module, an enterprise safety autonomous data collection module, an enterprise safety autonomous evaluation system construction module, an enterprise safety autonomous evaluation calculation module, an enterprise safety autonomous evaluation result application module, an enterprise safety state data collection module, an enterprise safety state evaluation system construction module, an enterprise safety state evaluation calculation module, an enterprise safety state evaluation result application module, a comprehensive inspection module and a law enforcement inspection module, wherein the connection relation among the modules is shown in fig. 6, and the direction of a connection arrow is used for representing the data interaction direction.
Example III
Referring to fig. 7, fig. 7 is a schematic structural diagram of an enterprise security supervision apparatus based on data analysis according to an embodiment of the present invention. The enterprise security supervision apparatus based on data analysis described in fig. 7 may include one of a supervision device, a supervision terminal, a supervision system, and a server, where the server may include a local server or a cloud server, and embodiments of the present invention are not limited. As shown in fig. 7, the enterprise security supervision apparatus based on data analysis may include:
the collection module 301 is configured to collect enterprise data corresponding to a target enterprise according to the determined enterprise security requirement, where the enterprise security requirement includes a security production standard and a security status index;
The evaluation module 302 is configured to evaluate, according to an enterprise security requirement, enterprise data corresponding to a target enterprise, to obtain a security evaluation result corresponding to the target enterprise, where the security evaluation result includes an autonomous security management evaluation result and a security status evaluation result;
the generating module 303 is configured to generate a patrol and spot check scheme corresponding to the target enterprise according to the security evaluation result corresponding to the target enterprise;
the analysis module 304 is configured to analyze a security problem corresponding to the target enterprise according to a security assessment result corresponding to the target enterprise and a patrol spot check scheme corresponding to the target enterprise;
the generating module 303 is further configured to generate a security rectification scheme corresponding to the target enterprise according to the security problem corresponding to the target enterprise.
Therefore, the device described by the embodiment of the invention can collect the enterprise data corresponding to the target enterprise according to the determined enterprise safety requirement, evaluate the enterprise data according to the enterprise safety requirement to obtain the safety evaluation result corresponding to the target enterprise, generate the inspection and verification scheme corresponding to the target enterprise according to the safety evaluation result, analyze and obtain the safety problem corresponding to the target enterprise by combining the safety evaluation result and the inspection and verification scheme, and generate the safety correction scheme corresponding to the target enterprise according to the safety problem.
In an alternative embodiment, the specific manner of collecting the enterprise data corresponding to the target enterprise by the collecting module 301 according to the determined enterprise security requirement may include:
generating an autonomous security management scheme corresponding to the target enterprise according to the determined security production standard in the enterprise security requirements;
constructing a first data grabbing model corresponding to the target enterprise according to an autonomous security management scheme corresponding to the target enterprise;
constructing a second data grabbing model corresponding to the target enterprise according to the safety state indexes in the enterprise safety requirements;
and grabbing enterprise data corresponding to the target enterprise based on the first data grabbing model corresponding to the target enterprise and the second data grabbing model corresponding to the target enterprise.
Therefore, the device described by implementing the optional embodiment can generate an autonomous safety management scheme corresponding to a target enterprise according to the safety production standard, construct a first data grabbing model according to the autonomous safety management scheme, construct a second data grabbing model according to the safety state index, and grab enterprise data corresponding to the target enterprise based on the first data grabbing model and the second data grabbing model, so that the collection accuracy and the collection flexibility of the enterprise data can be improved, the reliability of the enterprise data can be improved, the evaluation efficiency and the evaluation accuracy of the enterprise production safety can be improved, and the supervision accuracy of the enterprise production safety can be improved.
In this alternative embodiment, the enterprise security requirements may be determined by:
acquiring enterprise basic information of a target enterprise and legal information aiming at production safety, wherein the enterprise basic information comprises one or more of enterprise type, enterprise scale information and enterprise management information;
screening out target legal and regulation information matched with the target enterprise from the legal and regulation information according to the enterprise basic information of the target enterprise;
determining enterprise safety requirements corresponding to a target enterprise according to the target legal and regulation information;
and, the specific manner of generating the autonomous security management scheme corresponding to the target enterprise by the acquisition module 301 according to the determined security production standard in the enterprise security requirement may include:
decomposing the acquired safety production standard into a plurality of safety production sub-standards based on preset decomposition conditions;
screening the safety production sub-standard matched with the target enterprise from all the safety production sub-standards to serve as a target safety sub-standard corresponding to the target enterprise;
performing field extraction operation on each target security sub-standard based on a preset field extraction algorithm to obtain a target field set, wherein the target field set comprises at least one target field;
Analyzing the target field set to obtain a field feature set corresponding to the target field set, wherein the field feature set corresponding to the target field set comprises one or more combinations of association degree features of each target field and the rest target fields, appearance frequency features of each target field, appearance position features of each target field and semantic features of each target field;
and generating an autonomous security management scheme corresponding to the target enterprise according to the target field set and the field feature set corresponding to the target field set, wherein the autonomous security management scheme corresponding to the target enterprise comprises an autonomous security management task set corresponding to the target enterprise, and the autonomous security management task set corresponding to the target enterprise comprises autonomous security management tasks corresponding to a plurality of enterprise departments in the target enterprise.
It can be seen that the device described in this optional embodiment may further decompose the security production standard into a plurality of security production sub-standards based on the decomposition condition, and screen the security production sub-standard matched with the target enterprise from all the security production sub-standards as a target security sub-standard corresponding to the target enterprise, then perform a field extraction operation on each target security sub-standard based on a field extraction algorithm to obtain a target field set, and then obtain a field feature set corresponding to the target field set by analyzing the target field set, and generate an autonomous security management scheme corresponding to the target enterprise according to the target field set and the field feature set corresponding to the target field set, so as to improve the analysis accuracy of the security production standard, thereby purposefully generating an autonomous security management scheme suitable for the target enterprise, so as to improve the generation accuracy of the autonomous security management scheme, thereby being beneficial to improving the autonomous security management level of the enterprise, and being beneficial to improving the acquisition accuracy of enterprise data.
In this alternative embodiment, the specific manner of the evaluation module 302 evaluating the enterprise data corresponding to the target enterprise according to the enterprise security requirement to obtain the security evaluation result corresponding to the target enterprise may include:
according to the safety production standard, the autonomous safety management data in the enterprise data corresponding to the target enterprise is evaluated, and an autonomous safety management evaluation result corresponding to the target enterprise is obtained;
according to the safety state index, evaluating enterprise data corresponding to the target enterprise to obtain a safety state evaluation result corresponding to the target enterprise;
the specific manner of the evaluation module 302 to evaluate the autonomous security management data in the enterprise data corresponding to the target enterprise according to the security production standard to obtain the autonomous security management evaluation result corresponding to the target enterprise may include:
based on a preset data analysis and study model, analyzing autonomous safety management data in enterprise data corresponding to a target enterprise to obtain a safety management performing analysis result corresponding to the target enterprise;
and according to the safety production standard, based on a preset autonomous safety management evaluation model, evaluating a safety management performing analysis result corresponding to the target enterprise to obtain an autonomous safety management evaluation result corresponding to the target enterprise, wherein the autonomous safety management evaluation result corresponding to the target enterprise comprises one or more of enterprise safety characteristics, enterprise management points and enterprise autonomous safety management levels corresponding to the target enterprise.
Therefore, the device described by implementing the optional embodiment can also evaluate the autonomous security management data according to the security production standard to obtain an autonomous security management evaluation result, and evaluate the enterprise data according to the security state index to obtain a security state evaluation result, so that the evaluation accuracy and the evaluation flexibility of the enterprise production security can be improved, and the generation accuracy of the inspection and verification scheme can be improved; and the analysis accuracy of the completion condition of the management task can be improved, so that the evaluation accuracy of the enterprise autonomous safety management capability is improved, and the evaluation accuracy of the enterprise production safety is improved.
In this optional embodiment, the enterprise data corresponding to the target enterprise includes a combination of one or more of security profile information of the target enterprise, security incident data of the target enterprise, autonomous security management data corresponding to the target enterprise, and regulatory record data corresponding to the target enterprise;
The safety accident data comprises one or more of accident type, accident casualty data, accident occurrence time, accident occurrence frequency and accident occurrence place; the autonomous safety management data comprises one or more of safety standard management data, hidden danger investigation data, risk management and control data, personnel allocation data, emergency management data, safety training data, safety investment data and dangerous operation management data;
the specific manner of the evaluation module 302 to evaluate the enterprise data corresponding to the target enterprise according to the security status index to obtain the security status evaluation result corresponding to the target enterprise may include:
establishing a security state evaluation model corresponding to the target enterprise according to the security state index;
and evaluating enterprise data corresponding to the target enterprise based on the security state evaluation model corresponding to the target enterprise to obtain a security state evaluation result corresponding to the target enterprise.
Therefore, the device described by implementing the alternative embodiment can also establish a security state evaluation model according to the security state index, evaluate enterprise data based on the security state evaluation model, obtain a security state evaluation result, and improve the adaptation degree of the security state evaluation model and the security state index, so as to improve the construction accuracy of the evaluation model, thereby improving the analysis accuracy of the enterprise data, further improving the evaluation accuracy of the enterprise security state, and being beneficial to improving the evaluation accuracy of the enterprise production security.
In another alternative embodiment, the specific manner of generating, by the generating module 303, the inspection and spot check scheme corresponding to the target enterprise according to the security assessment result corresponding to the target enterprise may include:
determining a security supervision type corresponding to the target enterprise according to a security assessment result corresponding to the target enterprise;
determining the patrol and spot-check grade corresponding to the target enterprise according to the security supervision type corresponding to the target enterprise;
generating a model based on a predetermined patrol scheme according to a security evaluation result corresponding to the target enterprise and a patrol and spot check grade corresponding to the target enterprise, and generating a patrol scheme corresponding to the target enterprise;
generating a model based on a predetermined spot check scheme according to the spot check scheme corresponding to the target enterprise, the security evaluation result corresponding to the target enterprise and the spot check grade corresponding to the target enterprise, and generating the spot check scheme corresponding to the target enterprise;
the patrol and spot check schemes corresponding to the target enterprises comprise patrol and spot check schemes corresponding to the target enterprises.
It can be seen that the device described in this optional embodiment is capable of determining a security supervision type corresponding to a target enterprise according to a security assessment result corresponding to the target enterprise, determining a patrol and inspection level corresponding to the target enterprise according to the security supervision type, generating a patrol and inspection scheme corresponding to the target enterprise according to the security assessment result and the patrol and inspection level and based on a patrol and inspection scheme generation model, and generating a patrol and inspection scheme corresponding to the target enterprise according to the patrol and inspection scheme, the security assessment result and the patrol and inspection level and based on the patrol and inspection scheme generation model, thereby realizing intelligent generation of the patrol and inspection scheme on the basis of realizing intelligent hierarchical classification of the enterprise about production security, improving analysis accuracy of the enterprise security assessment result, improving hierarchical classification accuracy of enterprise production security, further improving generation accuracy of the patrol and inspection scheme, being beneficial to improving supervision accuracy of enterprise production security, and screening security problems of the enterprise accurately and efficiently.
In yet another alternative embodiment, the specific manner of generating, by the generating module 303, the security improvement scheme corresponding to the target enterprise according to the security problem corresponding to the target enterprise may include:
according to the security problem corresponding to the target enterprise, analyzing the data association degree between each item of enterprise sub-data and the security problem in the enterprise data corresponding to the target enterprise;
according to the data association degree between all enterprise sub-data and the security problems, determining problem traceability data corresponding to the security problems from enterprise data corresponding to a target enterprise;
and generating a security correction scheme corresponding to the target enterprise according to the problem tracing data and the acquired security management scheme corresponding to the target enterprise.
Therefore, the device described by implementing the alternative embodiment can analyze and obtain the data association degree between each piece of enterprise sub-data and the security problem according to the security problem corresponding to the target enterprise, and determine the problem tracing data corresponding to the security problem from the enterprise data according to all the data association ends, so as to generate a corresponding security correction scheme according to the problem tracing data and the security management scheme corresponding to the target enterprise, and improve the analysis accuracy of the enterprise security problem, thereby accurately screening the security problem source to improve the correction accuracy of the security problem, and further being beneficial to improving the correction accuracy of the security problem to improve the production security of the enterprise.
Example IV
Referring to fig. 8, fig. 8 is a schematic structural diagram of another enterprise security supervision apparatus based on data analysis according to an embodiment of the present invention. As shown in fig. 8, the enterprise security supervision apparatus based on data analysis may include:
a memory 401 storing executable program codes;
a processor 402 coupled with the memory 401;
the processor 402 invokes executable program code stored in the memory 401 to perform the steps in the enterprise security supervision method based on data analysis described in the first or second embodiment of the present invention.
Example five
The embodiment of the invention discloses a computer storage medium which stores computer instructions for executing the steps in the enterprise security supervision method based on data analysis described in the first or second embodiment of the invention when the computer instructions are called.
Example six
Embodiments of the present invention disclose a computer program product comprising a non-transitory computer readable storage medium storing a computer program, and the computer program is operable to cause a computer to perform the steps of the enterprise security supervision method based on data analysis described in embodiment one or embodiment two.
The apparatus embodiments described above are merely illustrative, wherein the modules illustrated as separate components may or may not be physically separate, and the components shown as modules may or may not be physical, i.e., may be located in one place, or may be distributed over a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above detailed description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course by means of hardware. Based on such understanding, the foregoing technical solutions may be embodied essentially or in part in the form of a software product that may be stored in a computer-readable storage medium including Read-Only Memory (ROM), random-access Memory (Random Access Memory, RAM), programmable Read-Only Memory (Programmable Read-Only Memory, PROM), erasable programmable Read-Only Memory (Erasable Programmable Read Only Memory, EPROM), one-time programmable Read-Only Memory (OTPROM), electrically erasable programmable Read-Only Memory (EEPROM), compact disc Read-Only Memory (Compact Disc Read-Only Memory, CD-ROM) or other optical disc Memory, magnetic disc Memory, tape Memory, or any other medium that can be used for computer-readable carrying or storing data.
Finally, it should be noted that: the embodiment of the invention discloses an enterprise safety supervision method and device based on data analysis, which are disclosed by the embodiment of the invention only for illustrating the technical scheme of the invention, but not limiting the technical scheme; although the invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art will understand that; the technical scheme recorded in the various embodiments can be modified or part of technical features in the technical scheme can be replaced equivalently; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.

Claims (9)

1. An enterprise security supervision method based on data analysis, the method comprising:
acquiring enterprise data corresponding to a target enterprise according to the determined enterprise safety requirements, wherein the enterprise safety requirements comprise safety production standards and safety state indexes;
according to the enterprise safety requirements, evaluating enterprise data corresponding to the target enterprise to obtain a safety evaluation result corresponding to the target enterprise, wherein the safety evaluation result comprises an autonomous safety management evaluation result and a safety state evaluation result;
Generating a patrol spot check scheme corresponding to the target enterprise according to the security assessment result corresponding to the target enterprise;
analyzing the security problem corresponding to the target enterprise according to the security assessment result corresponding to the target enterprise and the inspection and spot check scheme corresponding to the target enterprise;
generating a security rectifying scheme corresponding to the target enterprise according to the security problem corresponding to the target enterprise;
the collecting enterprise data corresponding to the target enterprise according to the determined enterprise security requirement comprises the following steps:
generating an autonomous security management scheme corresponding to the target enterprise according to the determined security production standard in the enterprise security requirements;
constructing a first data grabbing model corresponding to the target enterprise according to an autonomous security management scheme corresponding to the target enterprise;
constructing a second data grabbing model corresponding to the target enterprise according to the safety state indexes in the enterprise safety requirements;
grabbing enterprise data corresponding to the target enterprise based on a first data grabbing model corresponding to the target enterprise and a second data grabbing model corresponding to the target enterprise;
wherein, according to the security production standard in the determined enterprise security requirement, generating an autonomous security management scheme corresponding to the target enterprise includes:
Decomposing the acquired safety production standard into a plurality of safety production sub-standards based on preset decomposition conditions;
screening the safety production sub-standard matched with the target enterprise from all the safety production sub-standards to serve as a target safety sub-standard corresponding to the target enterprise;
performing field extraction operation on each target security sub-standard based on a preset field extraction algorithm to obtain a target field set, wherein the target field set comprises at least one target field;
analyzing the target field set to obtain a field feature set corresponding to the target field set, wherein the field feature set corresponding to the target field set comprises one or more combinations of association degree features of each target field and the rest target fields, occurrence frequency features of each target field, occurrence position features of each target field and semantic features of each target field;
generating an autonomous security management scheme corresponding to a target enterprise according to the target field set and the field feature set corresponding to the target field set, wherein the autonomous security management scheme corresponding to the target enterprise comprises an autonomous security management task set corresponding to the target enterprise, and the autonomous security management task set corresponding to the target enterprise comprises autonomous security management tasks corresponding to a plurality of enterprise departments in the target enterprise.
2. The data analysis-based enterprise security supervision method according to claim 1, wherein the enterprise security requirement is determined by:
acquiring enterprise basic information of a target enterprise and legal and regulatory information aiming at production safety, wherein the enterprise basic information comprises one or more of enterprise type, enterprise scale information and enterprise management information;
screening target legal and regulation information matched with the target enterprise from the legal and regulation information according to the enterprise basic information of the target enterprise;
and determining enterprise safety requirements corresponding to the target enterprise according to the target legal and regulatory information.
3. The enterprise security supervision method based on data analysis according to claim 1, wherein the evaluating the enterprise data corresponding to the target enterprise according to the enterprise security requirement to obtain the security evaluation result corresponding to the target enterprise includes:
according to the safety production standard, the autonomous safety management data in the enterprise data corresponding to the target enterprise is evaluated, and an autonomous safety management evaluation result corresponding to the target enterprise is obtained;
according to the safety state index, evaluating enterprise data corresponding to the target enterprise to obtain a safety state evaluation result corresponding to the target enterprise;
And evaluating the autonomous security management data in the enterprise data corresponding to the target enterprise according to the security production standard to obtain an autonomous security management evaluation result corresponding to the target enterprise, wherein the method comprises the following steps:
based on a preset data analysis and judgment model, analyzing autonomous safety management data in enterprise data corresponding to the target enterprise to obtain a safety management performing analysis result corresponding to the target enterprise;
and according to the safety production standard, based on a preset autonomous safety management evaluation model, evaluating a safety management performing analysis result corresponding to the target enterprise to obtain an autonomous safety management evaluation result corresponding to the target enterprise, wherein the autonomous safety management evaluation result corresponding to the target enterprise comprises one or more of enterprise safety features, enterprise management points and enterprise autonomous safety management levels corresponding to the target enterprise.
4. The enterprise security supervision method based on data analysis of claim 3, wherein the enterprise data corresponding to the target enterprise includes one or more combinations of security profile information of the target enterprise, security incident data of the target enterprise, autonomous security management data corresponding to the target enterprise, and supervision record data corresponding to the target enterprise;
The safety accident data comprises one or more of accident type, accident casualty data, accident occurrence time, accident occurrence frequency and accident occurrence place; the autonomous safety management data comprises one or more of safety standard management data, hidden danger investigation data, risk management and control data, personnel allocation data, emergency management data, safety training data, safety investment data and dangerous operation management data;
the step of evaluating the enterprise data corresponding to the target enterprise according to the security state index to obtain a security state evaluation result corresponding to the target enterprise includes:
establishing a security state evaluation model corresponding to the target enterprise according to the security state index;
and evaluating enterprise data corresponding to the target enterprise based on the security state evaluation model corresponding to the target enterprise to obtain a security state evaluation result corresponding to the target enterprise.
5. The method for enterprise security supervision based on data analysis according to claim 1, wherein the generating the patrol and spot-check scheme corresponding to the target enterprise according to the security evaluation result corresponding to the target enterprise comprises:
Determining a security supervision type corresponding to the target enterprise according to a security assessment result corresponding to the target enterprise;
determining the patrol spot check grade corresponding to the target enterprise according to the security supervision type corresponding to the target enterprise;
generating a model based on a predetermined patrol scheme according to a security evaluation result corresponding to the target enterprise and a patrol and spot-check grade corresponding to the target enterprise, and generating a patrol scheme corresponding to the target enterprise;
generating a model based on a predetermined spot check scheme according to the spot check scheme corresponding to the target enterprise, the security evaluation result corresponding to the target enterprise and the spot check grade corresponding to the target enterprise, and generating the spot check scheme corresponding to the target enterprise;
the patrol and spot check scheme corresponding to the target enterprise comprises a patrol and spot check scheme corresponding to the target enterprise and a spot check scheme corresponding to the target enterprise.
6. The method for enterprise security supervision based on data analysis according to claim 1, wherein the generating a security modification scheme corresponding to the target enterprise according to the security problem corresponding to the target enterprise comprises:
according to the security problem corresponding to the target enterprise, analyzing the data association degree between each item of enterprise sub-data in the enterprise data corresponding to the target enterprise and the security problem;
According to the data association degree between all the enterprise sub-data and the security problems, determining problem traceability data corresponding to the security problems from enterprise data corresponding to the target enterprise;
and generating a security modification scheme corresponding to the target enterprise according to the problem tracing data and the acquired security management scheme corresponding to the target enterprise.
7. An enterprise security supervision apparatus based on data analysis, the apparatus comprising:
the acquisition module is used for acquiring enterprise data corresponding to a target enterprise according to the determined enterprise safety requirements, wherein the enterprise safety requirements comprise safety production standards and safety state indexes;
the evaluation module is used for evaluating the enterprise data corresponding to the target enterprise according to the enterprise security requirement to obtain a security evaluation result corresponding to the target enterprise, wherein the security evaluation result comprises an autonomous security management evaluation result and a security state evaluation result;
the generation module is used for generating a patrol and spot-check scheme corresponding to the target enterprise according to the security evaluation result corresponding to the target enterprise;
the analysis module is used for analyzing the security problem corresponding to the target enterprise according to the security assessment result corresponding to the target enterprise and the inspection and spot check scheme corresponding to the target enterprise;
The generation module is further used for generating a security modification scheme corresponding to the target enterprise according to the security problem corresponding to the target enterprise;
the specific mode of collecting enterprise data corresponding to the target enterprise according to the determined enterprise security requirement comprises the following steps:
generating an autonomous security management scheme corresponding to the target enterprise according to the determined security production standard in the enterprise security requirements;
constructing a first data grabbing model corresponding to the target enterprise according to an autonomous security management scheme corresponding to the target enterprise;
constructing a second data grabbing model corresponding to the target enterprise according to the safety state indexes in the enterprise safety requirements;
grabbing enterprise data corresponding to the target enterprise based on a first data grabbing model corresponding to the target enterprise and a second data grabbing model corresponding to the target enterprise;
the specific mode of generating the autonomous security management scheme corresponding to the target enterprise by the acquisition module according to the determined security production standard in the enterprise security requirement comprises the following steps:
decomposing the acquired safety production standard into a plurality of safety production sub-standards based on preset decomposition conditions;
Screening the safety production sub-standard matched with the target enterprise from all the safety production sub-standards to serve as a target safety sub-standard corresponding to the target enterprise;
performing field extraction operation on each target security sub-standard based on a preset field extraction algorithm to obtain a target field set, wherein the target field set comprises at least one target field;
analyzing the target field set to obtain a field feature set corresponding to the target field set, wherein the field feature set corresponding to the target field set comprises one or more combinations of association degree features of each target field and the rest target fields, occurrence frequency features of each target field, occurrence position features of each target field and semantic features of each target field;
generating an autonomous security management scheme corresponding to a target enterprise according to the target field set and the field feature set corresponding to the target field set, wherein the autonomous security management scheme corresponding to the target enterprise comprises an autonomous security management task set corresponding to the target enterprise, and the autonomous security management task set corresponding to the target enterprise comprises autonomous security management tasks corresponding to a plurality of enterprise departments in the target enterprise.
8. An enterprise security supervision apparatus based on data analysis, the apparatus comprising:
a memory storing executable program code;
a processor coupled to the memory;
the processor invokes the executable program code stored in the memory to perform the data analysis-based enterprise security supervision method of any one of claims 1-6.
9. A computer storage medium storing computer instructions which, when invoked, are operable to perform the data analysis-based enterprise security supervision method according to any one of claims 1-6.
CN202311482280.XA 2023-11-09 2023-11-09 Enterprise safety supervision method and device based on data analysis Active CN117217625B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202311482280.XA CN117217625B (en) 2023-11-09 2023-11-09 Enterprise safety supervision method and device based on data analysis

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202311482280.XA CN117217625B (en) 2023-11-09 2023-11-09 Enterprise safety supervision method and device based on data analysis

Publications (2)

Publication Number Publication Date
CN117217625A CN117217625A (en) 2023-12-12
CN117217625B true CN117217625B (en) 2024-03-15

Family

ID=89039324

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202311482280.XA Active CN117217625B (en) 2023-11-09 2023-11-09 Enterprise safety supervision method and device based on data analysis

Country Status (1)

Country Link
CN (1) CN117217625B (en)

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111667252A (en) * 2020-06-19 2020-09-15 山东佳华百川传媒有限公司 Enterprise risk management and control platform system
CN113283861A (en) * 2021-05-18 2021-08-20 上海示右智能科技有限公司 Method for constructing intelligent enterprise compliance
CN113869740A (en) * 2021-09-29 2021-12-31 赛飞特工程技术集团有限公司 Enterprise hidden danger responsibility assessment method and system based on block chain
CN116109202A (en) * 2023-03-03 2023-05-12 湖南航天天麓新材料检测有限责任公司 Intelligent product quality safety supervision system, method and computer equipment
CN116596306A (en) * 2023-05-10 2023-08-15 贵州省分析测试研究院 Food safety supervision spot check method and system based on risk classification
CN116596305A (en) * 2023-05-10 2023-08-15 贵州省分析测试研究院 Risk grading method for food safety management

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111667252A (en) * 2020-06-19 2020-09-15 山东佳华百川传媒有限公司 Enterprise risk management and control platform system
CN113283861A (en) * 2021-05-18 2021-08-20 上海示右智能科技有限公司 Method for constructing intelligent enterprise compliance
CN113869740A (en) * 2021-09-29 2021-12-31 赛飞特工程技术集团有限公司 Enterprise hidden danger responsibility assessment method and system based on block chain
CN116109202A (en) * 2023-03-03 2023-05-12 湖南航天天麓新材料检测有限责任公司 Intelligent product quality safety supervision system, method and computer equipment
CN116596306A (en) * 2023-05-10 2023-08-15 贵州省分析测试研究院 Food safety supervision spot check method and system based on risk classification
CN116596305A (en) * 2023-05-10 2023-08-15 贵州省分析测试研究院 Risk grading method for food safety management

Also Published As

Publication number Publication date
CN117217625A (en) 2023-12-12

Similar Documents

Publication Publication Date Title
CN111445106B (en) Safety control method and system for fault processing operation site of electricity acquisition equipment
CN112990656B (en) Health evaluation system and health evaluation method for IT equipment monitoring data
CN111080502A (en) Big data identification method for abnormal behavior of regional enterprise data
CN110636066B (en) Network security threat situation assessment method based on unsupervised generative reasoning
CN111310803B (en) Environment data processing method and device
CN116151626B (en) Risk management and control capability evaluating method, system, electronic equipment and storage medium
CN114841660B (en) Enterprise intelligent security management and control cloud platform based on field information
CN112581000A (en) Enterprise risk index calculation method and device
CN116861446A (en) Data security assessment method and system
CN111506635A (en) System and method for analyzing residential electricity consumption behavior based on autoregressive naive Bayes algorithm
CN115222303B (en) Industry risk data analysis method and system based on big data and storage medium
CN115358155A (en) Power big data abnormity early warning method, device, equipment and readable storage medium
CN113071966A (en) Elevator fault prediction method, device, equipment and storage medium
CN117575334A (en) Highway construction safety monitoring system
CN117236688A (en) Building safety accident risk prevention and early warning system based on big data technology
CN113807751B (en) Safety risk grade assessment method and system based on knowledge graph
CN117974034A (en) RPA-based automatic acquisition and integration method and system for science and technology project contract payment information
CN117132114A (en) Enterprise internal risk management precaution device system
CN116108445A (en) Intelligent risk early warning management method and system for information system
CN113657788A (en) Enterprise safety production standardization intelligent supervision system and method
CN117217625B (en) Enterprise safety supervision method and device based on data analysis
CN115169650B (en) Equipment health prediction method for big data analysis
CN115936293A (en) Subway construction safety accident risk evaluation method based on PCA
CN113869758A (en) Intelligent two-ticket management and operation site risk early warning system
CN113221556A (en) Method, device and equipment for identifying potential safety hazard

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant