CN114299686A - Chemical enterprise safety management method, device, equipment and storage medium - Google Patents

Chemical enterprise safety management method, device, equipment and storage medium Download PDF

Info

Publication number
CN114299686A
CN114299686A CN202111521596.6A CN202111521596A CN114299686A CN 114299686 A CN114299686 A CN 114299686A CN 202111521596 A CN202111521596 A CN 202111521596A CN 114299686 A CN114299686 A CN 114299686A
Authority
CN
China
Prior art keywords
safety
work
monitoring
monitoring data
alarm
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.)
Pending
Application number
CN202111521596.6A
Other languages
Chinese (zh)
Inventor
殷太宁
罗聪
杨林林
蔡旸普
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.)
Hanghai Yigongtongzhi Information Technology Co ltd
Original Assignee
Hanghai Yigongtongzhi Information Technology 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 Hanghai Yigongtongzhi Information Technology Co ltd filed Critical Hanghai Yigongtongzhi Information Technology Co ltd
Priority to CN202111521596.6A priority Critical patent/CN114299686A/en
Publication of CN114299686A publication Critical patent/CN114299686A/en
Pending legal-status Critical Current

Links

Images

Landscapes

  • Alarm Systems (AREA)

Abstract

The application discloses a chemical enterprise safety management method, a device, equipment and a storage medium. The method comprises the following steps: acquiring a safety monitoring video and monitoring data of an operation environment in a chemical plant; determining whether the staff is in compliance according to image frames in the safety monitoring video; judging whether a safety alarm condition is met or not according to the monitoring data; and if the alarm condition is met, alarming. According to the method and the system, whether the staff are in compliance is monitored through a video monitoring method, the intelligent level of chemical plant management is improved, and the safety of the staff is improved.

Description

Chemical enterprise safety management method, device, equipment and storage medium
Technical Field
The application relates to the technical field of chemical production, in particular to a method, a device, equipment and a storage medium for safety management of chemical enterprises.
Background
The chemical industry is the important basic industry and the pillar industry of the country and plays an indispensable role in the stable development of the national economy. However, accidents in the chemical industry are frequent in recent years, the safety situation is very severe, and casualties and economic losses caused by the accidents are firstly painful. As one of the high-frequency work of daily activities of chemical enterprises, the field operation is always one of the key points and difficulties of enterprise safety management. The strengthening of the management of the operation process is also an active safety production management mode for strengthening the control of accidents in advance, advancing the gateway and actively eliminating various potential safety hazards of enterprises.
Disclosure of Invention
The present application mainly aims to provide a method, an apparatus, a device and a storage medium for safety management of chemical enterprises, so as to solve the above problems.
In order to achieve the above object, according to an aspect of the present application, there is provided a chemical industry enterprise security management method, including:
acquiring a safety monitoring video and monitoring data of an operation environment in a chemical plant;
determining whether the staff is in compliance according to image frames in the safety monitoring video; judging whether a safety alarm condition is met or not according to the monitoring data;
if the alarm condition is met, alarming;
the monitoring data comprises one or more of the following: process parameters, fire information, and smoke information.
In one embodiment, after acquiring the safety monitoring video and the monitoring data of the working environment in the chemical plant, the method further comprises: receiving an operation request reported by an employee;
and judging whether the employee is permitted to work according to the work request.
The job request includes: start and end time, work unit or department, work area, action category, work area, responsibility department, work content, work ticket name.
In one embodiment, generating the job map includes:
dividing the job map into a plurality of different job regions:
calculating the operation risk degree of an arbitrary area in an operation map according to the operation condition of the area;
displaying the area in a color corresponding to the operation risk degree;
wherein, the operation condition comprises one or more of the following: the operation quantity, the operation type, the quantity of high-risk materials, whether the operation is carried out in a special time period or not, whether the operation is carried out on holidays or not, whether the operation is carried out on a plan or not and the quantity of the contained special operation types.
In one embodiment, whether the working environment is abnormal or not is determined according to image frames in the safety monitoring video, and if the working environment is abnormal, grading early warning is carried out.
In one embodiment, the monitored data is a gas concentration; judging whether the gas concentration is greater than a preset gas concentration threshold value or not, and if so, giving an alarm;
and when the monitoring data is fire information, alarming.
In one embodiment, after the employee job is granted, the method further comprises:
acquiring the operation time period, the operation area, the operation ticket, the safety operation license ticket number, the name of an observer and the name of the operation ticket of the employee;
generating a job evaluation result of the employee;
and storing the job evaluation result in an employee job evaluation result list for performance management.
In one embodiment, when the monitoring data is smoke information, specifically combustible toxic gas, the method calculates the combustible toxic gas diffusion radius by using a combustible toxic gas diffusion model in combination with the weather and topographic features of the day, and sends an alarm prompt to related personnel;
and when the monitoring data is fire data, accessing the monitoring data into a fire propagation model for calculation, analyzing and judging the severity of the abnormal condition of the operating environment, alarming and informing field operating personnel.
In order to achieve the above object, according to another aspect of the present application, there is provided a chemical industry enterprise safety management apparatus, including:
the system comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring safety monitoring videos and monitoring data of a production environment in a chemical plant;
the judging module is used for determining whether the staff is in compliance according to the image frames in the safety monitoring video; judging whether a safety alarm condition is met or not according to the monitoring data;
and the alarm module is used for giving an alarm if the alarm condition is met.
In one embodiment, the system further comprises a receiving module, configured to receive an operation request reported by an employee before acquiring a security monitoring video and monitoring data of an operation environment in a chemical plant;
and the job permitting module is used for judging whether to permit the staff to carry out the job according to the job request and a pre-generated job map.
The job request includes one or more of the following: start-stop time, work unit or department, work area, action category, work area, responsibility department, target work area, work content, and work ticket name;
the job granting module is further to: the compliance in the operation process is checked, and the condition that special operation is allowed in the valid period and gas analysis is in the valid period is guaranteed;
in one embodiment, the system further comprises a map module for dividing the job map into a plurality of different job areas;
calculating the operation risk degree of any one area according to the operation condition of the area;
displaying the area in a color corresponding to the operation risk degree;
wherein, the operation condition comprises one or more of the following: the operation quantity, the operation type, the quantity of high-risk materials, whether the operation is carried out in a special time period or not, whether the operation is carried out on holidays or not, whether the operation is carried out on a plan or not and the quantity of the contained special operation types.
In one embodiment, the alarm module is further configured to determine whether the working environment is abnormal according to image frames in the security monitoring video, and if the working environment is abnormal, perform a graded early warning.
In one embodiment, the alarm module is further configured to monitor the gas concentration; judging whether the gas concentration is greater than a preset gas concentration threshold value or not, and if so, giving an alarm;
and when the monitoring data is fire information, alarming.
In one embodiment, the system further comprises performance management, wherein the performance management is used for acquiring the work time period, the work area, the work ticket, the safety work license ticket number, the name of the observer and the name of the work ticket of the employee after the employee is permitted to work;
generating a job evaluation result of the employee;
and storing the job evaluation result in an employee job evaluation result list for performance management.
In one embodiment, the alarm module is further configured to, when the monitoring data is smoke information, specifically, combustible toxic gas, calculate a combustible toxic gas diffusion radius by using a combustible toxic gas diffusion model in combination with weather and topographic features of the day, and send an alarm prompt to related personnel;
and when the monitoring data is fire data, accessing the monitoring data into a fire propagation model for calculation, analyzing and judging the severity of the abnormal condition of the operating environment, alarming and informing field operating personnel.
In order to achieve the above object, according to a third aspect of the present application, there is provided an electronic apparatus; comprising at least one processor and at least one memory; the memory is to store one or more program instructions; the processor is configured to execute one or more program instructions to perform any of the above steps.
According to a fourth aspect of the present application, there is provided a computer readable storage medium having one or more program instructions embodied therein for performing the steps of any of the above.
In the embodiment of the application, a safety monitoring video and monitoring data in a chemical plant are obtained; determining whether the staff is in compliance according to image frames in the safety monitoring video; judging whether a safety alarm condition is met or not according to the monitoring data; and if the alarm condition is met, alarming. According to the method and the system, whether the staff are in compliance is monitored through a video monitoring method, the intelligent level of chemical plant management is improved, and the safety of the staff is improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, serve to provide a further understanding of the application and to enable other features, objects, and advantages of the application to be more apparent. The drawings and their description illustrate the embodiments of the invention and do not limit it. In the drawings:
FIG. 1 is a flow chart of a chemical industry enterprise security management method according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a chemical industry enterprise security management device according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a chemical industry enterprise security management device according to an embodiment of the present application;
fig. 4 is a schematic diagram of a chemical industry enterprise security management system according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be used. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In this application, the terms "upper", "lower", "left", "right", "front", "rear", "top", "bottom", "inner", "outer", "middle", "vertical", "horizontal", "lateral", "longitudinal", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings. These terms are used primarily to better describe the invention and its embodiments and are not intended to limit the indicated devices, elements or components to a particular orientation or to be constructed and operated in a particular orientation.
Moreover, some of the above terms may be used to indicate other meanings besides the orientation or positional relationship, for example, the term "on" may also be used to indicate some kind of attachment or connection relationship in some cases. The specific meanings of these terms in the present invention can be understood by those skilled in the art as appropriate.
Furthermore, the terms "mounted," "disposed," "provided," "connected," and "sleeved" are to be construed broadly. For example, it may be a fixed connection, a removable connection, or a unitary construction; can be a mechanical connection, or an electrical connection; may be directly connected, or indirectly connected through intervening media, or may be in internal communication between two devices, elements or components. The specific meanings of the above terms in the present invention can be understood by those of ordinary skill in the art according to specific situations.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
There are clear national laws and regulations and industry requirements and standards for the management of field operations, but these standards and regulations are often difficult to land in the actual operation and management of enterprises, and rely more on the professional literacy and practical experience of field personnel. The existing operation management in the market mainly utilizes form filling to manage the operation flow, and is difficult to fully cover complex scenes in enterprises.
The supervision of unsafe behaviors of operators mainly depends on manual monitoring and on-site patrol. Some solutions for monitoring the field operation by using fixed field monitoring are also available in the market, but such systems often lack the control of the process or system.
Many monitoring systems, such as a GDS toxic combustible gas alarm system, a smoke and fire alarm system, are built in enterprises, and alarm is performed for leakage or fire in a factory, and the alarm is performed for a phenomenon that has occurred rather than a specific scene of a site. In addition, in the operation process, the field operator mainly relies on the manual observation of the surrounding environment for knowing the surrounding conditions of the operation field, the alarm of the industrial control system for knowing the abnormal conditions and the hazards of the surrounding environment is mainly relied on, and the manual transmission is mainly relied on for transmitting the information.
The application provides a chemical enterprise safety management method, which is shown in a flow chart of a chemical enterprise safety management method shown in an attached figure 1; the method comprises the following steps:
step S102, obtaining safety monitoring videos and monitoring data of a working environment in a chemical plant;
wherein, the monitoring data comprises one or more of the following: process parameters, fire information, smoke information.
Specifically, the process parameters include: the method is characterized by accessing major hazard sources, such as process parameters of tank areas, device units, warehouses and the like, checking real-time data such as temperature, pressure, liquid level, gas concentration and the like, checking real-time data and historical trend of collected data at any time, and maximum, minimum, average and accumulated values of the data, and according to set control values and alarm values.
Fire information, which means whether a fire is sent; the smoke information refers to the smoke concentration.
Step S104, determining whether the staff is in compliance according to the image frames in the safety monitoring video; judging whether a safety alarm condition is met or not according to the monitoring data;
specifically, whether the worker wears a worker's hat or wears a worker's clothes may be determined from the image frames. If no worker wears hat or clothes, an alarm should be given.
In specific implementation, the image recognition model can be trained in advance, and a large number of images of the staff are used as samples, including positive samples and negative samples. Wherein, the positive sample is an image of wearing a worker's clothes or a worker's hat, the negative sample is an image of not wearing a worker's clothes or a worker's hat, and the model adopts a convolutional neural network. The training is stopped when the function value of the loss function of the convolutional neural network is less than a predetermined threshold.
If the alarm condition is reached, executing step S106;
and step S106, alarming.
Acquiring safety monitoring videos and monitoring data in a chemical plant; determining whether the staff is in compliance according to image frames in the safety monitoring video; judging whether a safety alarm condition is met or not according to the monitoring data; and if the alarm condition is met, alarming. According to the method and the system, whether the staff are in compliance is monitored through a video monitoring method, the intelligent level of chemical plant management is improved, and the safety of the staff is improved.
In order to realize operation permission management, in one implementation mode, before a safety monitoring video and monitoring data of an operation environment in a chemical plant are acquired, an operation request reported by an employee is received; and judging whether the employee is permitted to work according to the work request.
Specifically, the job request includes one or more of the following: start and end time, work unit or department, work area, responsibility department, target work area, work content, and work ticket name.
Specifically, for each job license, the evaluation stage can be entered only by filling in the application information to be filled in as required; if a job license contains a gas analysis, the job license must be approved when the gas analysis is qualified and within the validity period; if the gas analysis of a certain job license expires, the system automatically sends a message reminder to the relevant responsible person to ensure job compliance.
To implement a job map, in one embodiment, the job map is divided into a plurality of different job regions when generated; calculating the operation risk degree of any one area according to the operation condition of the area; and displaying the area in a color corresponding to the operation risk degree.
Wherein, the operation condition comprises one or more of the following: the operation quantity, the operation type, the quantity of high-risk materials, whether the operation is carried out in a special time period or not, whether the operation is carried out on holidays or not, whether the operation is carried out on a plan or not and the quantity of the contained special operation types.
Illustratively, region 1 is colored red to indicate the highest risk level, region 2 is colored yellow to indicate the medium risk level, and region 3 is colored green to indicate the lowest risk level.
Specifically, the calculation of the risk level of the working area relates to a specific time factor, and if the working area is a holiday, the risk level is higher; and if the daily working day is adopted, the risk level is lower. If the time period is a special time period, the risk level is higher; if the operation is planned operation, the risk level is lower; if the quantity of high-risk materials is large, the risk level is high; if the number of the operations is large, the risk level is high; determining risk factors according to operation types, wherein some operation types belong to special operation types; some job types belong to a general job type.
In order to ensure that a worker is in a relatively safe environment to carry out production work, whether the worker is safe or not can be judged according to the production environment, and if the worker is in an unsafe environment, an alarm is given in time. In one embodiment, whether the working environment is abnormal or not is determined according to image frames in the safety monitoring video, and if the working environment is abnormal, grading early warning is carried out.
Specifically, the grading early warning can be performed according to the arrangement positions of the dangerous goods in the image frame.
And identifying the dangerous goods in the image frame by adopting a target identification algorithm so as to determine the specific position distribution of the dangerous goods in the factory.
If the distance T1 of the hazardous article from the working area is greater than or equal to a predetermined distance threshold T, it is determined that no warning is needed, and if T1 is less than T, a warning is needed. Specifically, the smaller the distance, the higher the warning level.
The employee can also be subjected to performance management according to the related content of the operation permission, and in one embodiment, after the operation of the employee is permitted, the operation time period, the operation area, the operation ticket, the ticket number of the safety operation permit, the name of the observer and the name of the operation ticket of the employee are obtained; generating a job evaluation result of the employee; and storing the job evaluation result in an employee job evaluation result list for performance management.
In order to improve the intelligence level, the intelligent judgment can be carried out by combining the relevant machine learning calculation model. In one implementation mode, when the monitoring data is smoke information, specifically combustible toxic gas, the daily weather and topographic features are combined, the combustible toxic gas diffusion radius is calculated by using a combustible toxic gas diffusion model, and an alarm prompt is sent to related personnel.
The gas diffusion model can be realized by adopting a Gaussian model, and the Gaussian model comprises a Gaussian plume model and a Gaussian plume model.
And when the monitoring data is fire data, accessing the monitoring data into a fire propagation model for calculation, analyzing and judging the severity of the abnormal condition of the operating environment, alarming and informing field operating personnel.
According to an embodiment of the present invention, there is also provided a chemical industry enterprise security management apparatus, which is shown in fig. 2; the device includes:
an obtaining module 21, configured to obtain a safety monitoring video and monitoring data of a working environment in a chemical plant;
the judging module 22 is used for determining whether the staff is in compliance according to the image frames in the safety monitoring video; judging whether a safety alarm condition is met or not according to the monitoring data;
the alarm module 23 is used for giving an alarm if the alarm condition is met;
the monitoring data comprises one or more of the following: process parameters, fire information, and smoke information.
In an embodiment, the system further includes a receiving module 24, configured to receive an operation request reported by an employee before acquiring a security monitoring video and monitoring data of an operation environment in a chemical plant;
and the job permitting module 25 is used for judging whether to permit the employee to carry out the job according to the job request.
The job request includes one or more of the following: start-stop time, work unit or department, work area, action category, work area, responsibility department, target work area, work content, and work ticket name.
In one embodiment, job granting module 25 is further configured to: the compliance in the operation process is checked, and the condition that special operation is allowed in the valid period and gas analysis is in the valid period is guaranteed;
in one embodiment, a map module 26 is included for dividing the job map into a plurality of different job areas;
calculating the operation risk degree of any one area according to the operation condition of the area;
displaying the area in a color corresponding to the operation risk degree;
wherein, the operation condition comprises one or more of the following: the operation quantity, the operation type, the quantity of high-risk materials, whether the operation is carried out in a special time period or not, whether the operation is carried out on holidays or not, whether the operation is carried out on a plan or not and the quantity of the contained special operation types.
In one embodiment, the alarm module 23 is further configured to determine whether the working environment is abnormal according to image frames in the safety monitoring video, and if the working environment is abnormal, perform a graded early warning.
In one embodiment, the alarm module 23 is further configured to, when the monitoring data is a gas concentration; judging whether the gas concentration is greater than a preset gas concentration threshold value or not, and if so, giving an alarm; and when the monitoring data is fire information, alarming.
In one embodiment, the system further comprises a performance management 27, which is used for acquiring the work time period, the work area, the work ticket, the safety work license ticket number, the name of the observer and the name of the work ticket of the employee after the employee is permitted to work;
generating a job evaluation result of the employee;
and storing the job evaluation result in an employee job evaluation result list for performance management.
In one embodiment, the alarm module 23 is further configured to, when the monitoring data is smoke information, specifically, combustible toxic gas, calculate a diffusion radius of the combustible toxic gas by using a combustible toxic gas diffusion model in combination with weather and topographic features of the day, and send an alarm prompt to related personnel;
and when the monitoring data is fire data, accessing the monitoring data into a fire propagation model for calculation, analyzing and judging the severity of the abnormal condition of the operating environment, alarming and informing field operating personnel.
Referring to fig. 3, a schematic structural diagram of a chemical enterprise safety management device is shown; the apparatus comprises at least one processor 31 and at least one memory 32; the memory 32 is for storing one or more program instructions; the processor 31 is configured to execute one or more program instructions to perform any one of the above methods.
In a fourth aspect, the present application also proposes a computer-readable storage medium having embodied therein one or more program instructions for executing the method of any one of the above.
In a fifth aspect, the application further provides a chemical enterprise safety management system, which includes the above processor; a memory;
the memory can adopt a data lake and an SDC service data center to realize the storage of data.
And the processor is used for realizing risk calculation in the operation process and alarming of unsafe behaviors of personnel and carrying out various statistics on operation permission and operation evaluation. And the operation environment is automatically monitored and intelligently analyzed, abnormal conditions are identified, and graded alarm is carried out.
And the processor is also used for performing operation permission process management, statistical analysis, evaluation statistics, behavior alarm and operation environment abnormity monitoring.
The system comprises a plurality of devices, a plurality of monitoring devices and a plurality of control devices, wherein the devices are arranged in a factory and are complex in environment, the fixed monitoring devices and the mobile monitoring devices are combined, the automatic monitoring of the enterprise operation environment and the abnormal state is realized, and real-time and effective assistance can be provided for field operation personnel. And combining a field GDS system to form a plant area visual GDS alarm display, and carrying out alarm pushing on the personnel working in the relevant area for the GDS alarm generated on the field. Through the monitoring system of on-the-spot rational planning, acquire the on-the-spot image in real time, through intelligent image accurate identification and high-efficient processing, carry out intelligent analysis to the operational environment, realize panorama formula, all-weather control. By the aid of the operating environment and abnormal state monitoring system, smoke and flame in a monitoring area can be automatically identified, and if smoke and flame are detected, an alarm can be given immediately.
For the identification and analysis of the operating environment and the abnormal state, when the confirmed combustible toxic gas alarm is generated, the diffusion radius is calculated by using a combustible toxic gas diffusion model in combination with the weather and the topographic features of the day, and an alarm prompt is sent to related personnel; based on monitoring equipment such as an infrared camera, a thermal imager and the like, the working environment is monitored in real time, and abnormal conditions such as high temperature, fire, smoke, leakage and the like are identified. The acquired monitoring data is accessed into a gas diffusion model, a fire propagation model and other models for calculation, the severity of the abnormal conditions of the operating environment is analyzed and judged, alarming is realized, field operating personnel are informed, pre-disaster warning, timely treatment and effective prevention and control can be effectively realized, the occurrence of fire and further diffusion after the disaster are prevented, and the stable and long-term operation of enterprises is guaranteed.
The operation permission process management is based on the bottom business application, and the operation process is subjected to full-flow management. Through operation permission and relevant modules matched with the operation permission, such as gas analysis, energy isolation, operation evaluation, JSA and the like, comprehensive operation management meeting the requirements of field scenes is realized, and a convenient, standard, compliant and practical auxiliary management tool is provided for enterprises.
And outputting statistical analysis information of various dimensions of operation permission and statistical analysis information of unsafe behavior evaluation of personnel through data processing and analysis of the intelligent platform. And calculating the operation risk in real time by combining calculation of various indexes with a risk calculation model, and displaying the operation risk on a visual map. The method is combined with a third-party video monitoring system to give an alarm for unsafe behaviors of personnel, can be associated with actual specific operations, provides an attachable actual service for behavior management, and facilitates later inquiry and statistical analysis. And the mobile real-time monitoring is expanded on the basis of a fixed checking and controlling officer, so that the supervision requirements of different environments and different scenes can be met.
The operation environment abnormity monitoring is based on the bottom layer operation management service, and the industrial control system data and the video monitoring equipment containing the AI algorithm are fused, so that the real-time monitoring of the field operation environment is realized, and the environment abnormity condition is identified. Based on multi-azimuth and multi-angle real-time data and alarm information, the severity of abnormal conditions is intelligently analyzed by combining model operation, and early warning and alarming are carried out on abnormal environments. Traditional manual monitoring on duty and field inspection are gradually replaced by alarming and active pushing, and the field intelligentization level and the early accident identification and discovery capability are improved. On the basis of the original broad monitoring and monitoring system, the fusion with the operation management service is strengthened, and an effective learning way of the surrounding environment state can be provided for field operation personnel. When an abnormal condition occurs, the operator related to the abnormal condition can accurately know the position of the operator and an unsafe environment at the first time, and the control gateway of the potential safety hazard can be effectively moved forward. The intelligent tool is a powerful intelligent tool for discovering and processing potential safety hazards as early as possible, guaranteeing the life safety of field personnel and restraining the occurrence and the diffusion of accidents.
Referring to fig. 4, a safety management system for a chemical industry enterprise is shown. The whole system comprises: the system comprises a data lake, an operation permission process management module, an operation environment abnormity monitoring module, a SDC, a video monitoring module, a business application module and a third-party system.
Wherein, the third party system includes: fire monitoring, smoke detection, GDS alarm, video monitoring AI.
The service application module comprises: job admission, gas analysis, job assessment, change management, job process movement monitoring, JSA analysis, interlock management.
The SDC comprises: the system comprises a model operation center, a model base, a data processing module and a knowledge graph module.
The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The processor reads the information in the storage medium and completes the steps of the method in combination with the hardware.
The storage medium may be a memory, for example, which may be volatile memory or nonvolatile memory, or which may include both volatile and nonvolatile memory.
The nonvolatile Memory may be a Read-Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable PROM (EEPROM), or a flash Memory.
The volatile Memory may be a Random Access Memory (RAM) which serves as an external cache. By way of example and not limitation, many forms of RAM are available, such as Static Random Access Memory (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), SLDRAM (SLDRAM), and Direct Rambus RAM (DRRAM).
The storage media described in connection with the embodiments of the invention are intended to comprise, without being limited to, these and any other suitable types of memory.
The bottom layer application comprises the services of operation permission, gas analysis, operation evaluation, operation process mobile monitoring, JSA analysis, interlocking management, change management and the like, all the services are coupled and correlated with each other, the interconnection and intercommunication of the services are realized, and the standard compliance of the operation process is ensured. And the operation process and the operation environment are managed, analyzed and monitored by fusing video monitoring equipment (including an AI algorithm) of a third party and GDS data alarm, fire monitoring, smoke detection data and the like from an industrial control system.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than presented herein.
The system of the application supports the retrieval and screening through start and stop time, operation units or departments, operation areas, action types, operation states and keywords (supporting the keyword search of operation titles and ticket numbers); the multi-condition combined statistical analysis and the transverse comparison can be carried out according to the operation type, the operation unit and the operation area. The information of the job appointment planning rate, the job delay rate, the number of the job evaluation violations and the like can be counted. The method can provide a visual operation map, visually and globally shows the conditions of safety operation licenses in each device boundary area and the sub-areas thereof on the factory area map (the regional hierarchy refers to the regional hierarchy in the system), and comprises the following steps: the number of job tickets, the number of work licenses containing special jobs, the number of various types of special jobs, the number of contractors participating in jobs, the number of people participating in jobs, and the like.
It will be apparent to those skilled in the art that the modules or steps of the present invention described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and they may alternatively be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, or fabricated separately as individual integrated circuit modules, or fabricated as a single integrated circuit module from multiple modules or steps. Thus, the present invention is not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims (10)

1. A safety management method for chemical enterprises is characterized by comprising the following steps:
acquiring a safety monitoring video and monitoring data of an operation environment in a chemical plant;
determining whether the staff is in compliance according to image frames in the safety monitoring video; judging whether a safety alarm condition is met or not according to the monitoring data;
if the alarm condition is met, alarming;
the monitoring data comprises one or more of the following: process parameters, fire information, and smoke information.
2. The chemical industry enterprise safety management method according to claim 1, wherein before acquiring the safety monitoring video and monitoring data of the working environment in the chemical industry plant, the method further comprises:
receiving an operation request reported by an employee;
judging whether the employee is permitted to work according to the work request and a pre-generated work map;
the job request includes one or more of the following: start-stop time, work unit or department, work area, action category, work area, responsibility department, target work area, work content, and work ticket name.
3. The chemical industry enterprise safety management method according to claim 2, wherein the generating the operation map comprises:
dividing the work map into a plurality of different work areas;
calculating the operation risk degree of any one area according to the operation condition of the area;
displaying the area in a color corresponding to the operation risk degree;
wherein, the operation condition comprises one or more of the following: the operation quantity, the operation type, the quantity of high-risk materials, whether the operation is carried out in a special time period or not, whether the operation is carried out on holidays or not, whether the operation is carried out on a plan or not and the quantity of the contained special operation types.
4. The chemical industry enterprise safety management method according to claim 2,
and determining whether the working environment is abnormal or not according to the image frames in the safety monitoring video, and if so, performing grading early warning.
5. The chemical industry enterprise safety management method according to claim 2,
when the monitoring data is gas concentration; judging whether the gas concentration is greater than a preset gas concentration threshold value or not, and if so, giving an alarm;
and when the monitoring data is fire information, alarming.
6. The chemical industry enterprise security management method of claim 2, wherein after the employee work is permitted, the method further comprises:
acquiring the operation time period, the operation area, the operation ticket, the safety operation license ticket number, the name of an observer and the name of the operation ticket of the employee;
generating a job evaluation result of the employee;
and storing the job evaluation result in an employee job evaluation result list for performance management.
7. The chemical industry enterprise safety management method according to claim 2,
when the monitoring data is smoke information, specifically combustible toxic gas, the daily weather and topographic features are combined, the combustible toxic gas diffusion radius is calculated by using a combustible toxic gas diffusion model, and an alarm prompt is sent to related personnel.
8. A safety management device for chemical enterprises, which is characterized in that,
the system comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring safety monitoring videos and monitoring data of a working environment in a chemical plant;
the judging module is used for determining whether the staff is in compliance according to the image frames in the safety monitoring video; judging whether a safety alarm condition is met or not according to the monitoring data;
and the alarm module is used for giving an alarm if the alarm condition is met.
9. The utility model provides a chemical industry enterprise safety control equipment which characterized in that includes: at least one processor and at least one memory; the memory is to store one or more program instructions; the processor, configured to execute one or more program instructions to perform the method of any of claims 1-7.
10. A computer-readable storage medium having one or more program instructions embodied therein for performing the method of any one of claims 1-7.
CN202111521596.6A 2021-12-13 2021-12-13 Chemical enterprise safety management method, device, equipment and storage medium Pending CN114299686A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111521596.6A CN114299686A (en) 2021-12-13 2021-12-13 Chemical enterprise safety management method, device, equipment and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111521596.6A CN114299686A (en) 2021-12-13 2021-12-13 Chemical enterprise safety management method, device, equipment and storage medium

Publications (1)

Publication Number Publication Date
CN114299686A true CN114299686A (en) 2022-04-08

Family

ID=80967964

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111521596.6A Pending CN114299686A (en) 2021-12-13 2021-12-13 Chemical enterprise safety management method, device, equipment and storage medium

Country Status (1)

Country Link
CN (1) CN114299686A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115239179A (en) * 2022-08-05 2022-10-25 卡奥斯化智物联科技(青岛)有限公司 Chemical production operation flow system
CN115601905A (en) * 2022-12-13 2023-01-13 湖南前行科创有限公司(Cn) Intelligent security alarm method and system for intelligent park

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111339933A (en) * 2020-02-25 2020-06-26 北京国网富达科技发展有限责任公司 Transformer substation safety monitoring method and device based on deep learning
CN112129350A (en) * 2020-09-24 2020-12-25 中国计量大学 Chemical enterprise real scene monitoring system based on AR + security protection
CN112180854A (en) * 2020-09-15 2021-01-05 江苏谷德运维信息技术有限公司 Chemical enterprise safety production management system based on Internet of things
CN112507892A (en) * 2020-12-14 2021-03-16 公安部第三研究所 System, method and device for identifying and processing wearing of key personnel in special place based on deep learning, processor and storage medium thereof
CN113313387A (en) * 2021-05-31 2021-08-27 中钢集团武汉安全环保研究院有限公司 Enterprise major safety risk grading intelligent management and control method and system

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111339933A (en) * 2020-02-25 2020-06-26 北京国网富达科技发展有限责任公司 Transformer substation safety monitoring method and device based on deep learning
CN112180854A (en) * 2020-09-15 2021-01-05 江苏谷德运维信息技术有限公司 Chemical enterprise safety production management system based on Internet of things
CN112129350A (en) * 2020-09-24 2020-12-25 中国计量大学 Chemical enterprise real scene monitoring system based on AR + security protection
CN112507892A (en) * 2020-12-14 2021-03-16 公安部第三研究所 System, method and device for identifying and processing wearing of key personnel in special place based on deep learning, processor and storage medium thereof
CN113313387A (en) * 2021-05-31 2021-08-27 中钢集团武汉安全环保研究院有限公司 Enterprise major safety risk grading intelligent management and control method and system

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115239179A (en) * 2022-08-05 2022-10-25 卡奥斯化智物联科技(青岛)有限公司 Chemical production operation flow system
CN115601905A (en) * 2022-12-13 2023-01-13 湖南前行科创有限公司(Cn) Intelligent security alarm method and system for intelligent park
CN115601905B (en) * 2022-12-13 2023-04-25 湖南前行科创有限公司 Intelligent security alarm method and system for intelligent park

Similar Documents

Publication Publication Date Title
CN113313387B (en) Intelligent management and control method and system for major security risk classification of enterprise
CN111738568A (en) Artificial intelligence risk management and control system based on scene recognition drive
CN112180854A (en) Chemical enterprise safety production management system based on Internet of things
CN114299686A (en) Chemical enterprise safety management method, device, equipment and storage medium
CN113706355A (en) Method for building intelligent emergency system of chemical industry park
CN107330579A (en) A kind of HSE risk stratifications managing and control system
CN113554318A (en) Three-dimensional visual risk intelligent management and control integrated system and method for chemical industry park
CN108111342B (en) Visualization-based threat alarm display method
CN112488488A (en) Behavior processing method and device based on work ticket, computer and storage medium
CN115130807A (en) Intelligent supervision method for pharmaceutical production safety
CN113970627B (en) Water quality monitoring and early warning method and system
CN111178828A (en) Method and system for building fire safety early warning
CN111127849B (en) Accident early warning method comprehensively considering meteorological and chemical plant peripheral area
CN114841660A (en) Enterprise intelligent safety management and control cloud platform based on field information
CN113538825A (en) Campus wall-turning event alarm method and system
CN116384741A (en) Dangerous source identification and management system and device
CN112633695A (en) Intelligent safety management system
CN113298405A (en) Intelligent chemical industry park emergency comprehensive management system based on BIM and GIS
CN112381435A (en) Gridding directional pushing management method for dynamic risk in hydropower station operation process
CN117910811B (en) Intelligent fire control management method and system based on multi-mode AI large model
CN114331055A (en) Enterprise safety production risk early warning method, device, equipment and storage medium
CN110989042A (en) Intelligent prediction method for highway fog-clustering risk
KR20180117036A (en) Method for selecting appropriate sensor location for analyzing the site information in the damaged area and the method for calculating damage by spreading risk
CN108388873A (en) A kind of supervisory systems of machine vision, method and client computer, storage medium
CN111080499A (en) Multi-dimensional data fusion application platform based on flood prevention and fire prevention scene

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