CN115619328A - Violation statistical method and device based on work ticket, storage medium and electronic equipment - Google Patents
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Abstract
The utility model relates to a violation statistical method, device, storage medium and electronic equipment based on work ticket, comprising: after the work ticket is recovered, acquiring operation information corresponding to each operation stage of the work ticket, wherein the operation information comprises filling information recorded on the work ticket, operation information reported by a supervisor and operation image information acquired by an image acquisition device; inputting the operation information corresponding to each operation stage into the behavior analysis model corresponding to the operation stage to obtain violation characteristic information output by the behavior analysis model; and according to a preset logic rule, carrying out combined analysis on the violation characteristic information of each operation stage to obtain a violation statistical result. The method can fully identify and analyze the operation information of the work ticket at each process flow transition stage, automatically analyze the violation behaviors in the operation information of the work ticket, reduce the workload of a supervisor in the operation process and improve the supervision of the work ticket in the operation process.
Description
Technical Field
The disclosure relates to the technical field of power plant operation and management, in particular to a violation statistics method and device based on a work ticket, a storage medium and electronic equipment.
Background
Safety violation management and control in the power industry are concerned about safety production and quality management and control, generally, safety supervision personnel are relied on in the water and electricity industry to carry out selective examination on violations, and then whether violation or violation operation exists in an examination operator is achieved, so that the supervision workload of the supervision personnel in the operation process is large, manpower is wasted, and the supervision efficiency is low.
Disclosure of Invention
The invention aims to provide a violation statistical method and device based on a work ticket, a storage medium and electronic equipment, and aims to solve the technical problems that the regulation of violation or violation operation wastes manpower and the efficiency is low in related scenes.
In order to achieve the above object, according to a first aspect of the embodiments of the present disclosure, there is provided a violation statistics method based on a work ticket, the method including:
after the work ticket is recovered, acquiring operation information corresponding to each operation stage of the work ticket, wherein the operation information comprises filling information recorded on the work ticket, operation information reported by a supervisor and operation image information acquired by an image acquisition device;
inputting the operation information corresponding to each operation stage into a behavior analysis model corresponding to the operation stage to obtain violation characteristic information output by the behavior analysis model;
and according to a preset logic rule, performing combined analysis on the violation characteristic information of each operation stage to obtain a violation statistical result.
Optionally, the behavior analysis model obtains the violation characteristic information by:
determining whether the operation information input into the behavior analysis model is information corresponding to the working stage;
under the condition that the input operation information corresponds to the information of the working stage, performing feature extraction and classification on the input operation information of the working stage according to a preset safety behavior grade and a safety behavior type;
and comparing the classified characteristic information with the violation behaviors to generate violation characteristic information.
Optionally, the step of performing combined analysis on the violation feature information of each operation stage according to a preset logic rule to obtain a violation statistical result includes:
determining violation behaviors of the violation characteristic information of each operation stage under different scenes according to a preset logic rule;
and according to the violation behaviors in different scenes, carrying out combined analysis on the violation characteristic information of each operation stage according to the identity attribute and the time node to obtain a violation statistical result.
Optionally, before acquiring job information corresponding to each job phase of the job ticket after the job ticket is completely recovered, the method includes:
and in each operation stage, whether the work ticket is completely recycled is determined according to filling information on the operation ticket, and each operation stage comprises a ticket storing sub-stage, a ticket fetching sub-stage and a checking sub-stage.
Optionally, the method comprises:
carrying out rule violation analysis on the rule violation behaviors in the rule violation statistical result to determine a series of rule violation behaviors;
determining a violation source point of the series of violations, wherein the violation source point is a violation which causes the subsequent violations in the series of violations;
and generating target early warning information and a target emergency strategy aiming at the violation source point according to the historical accident case and the emergency strategy.
According to a second aspect of the embodiments of the present disclosure, there is provided a violation statistics apparatus based on a work ticket, the apparatus including:
the acquisition module is configured to acquire operation information corresponding to each operation stage of a work ticket after the work ticket is recovered, wherein the operation information comprises filling information recorded on the work ticket, operation information reported by a supervisor and operation image information acquired by an image acquisition device;
the input module is configured to input the operation information corresponding to each operation stage into the behavior analysis model corresponding to the operation stage to obtain violation characteristic information output by the behavior analysis model;
and the combined analysis module is configured to perform combined analysis on the violation characteristic information of each operation stage according to a preset logic rule to obtain a violation statistical result.
Optionally, the behavior analysis model comprises:
determining whether the operation information input into the behavior analysis model is information corresponding to the working stage;
under the condition that the input operation information corresponds to the information of the working stage, performing feature extraction and classification on the input operation information of the working stage according to a preset safety behavior level and a safety behavior type;
and comparing the classified characteristic information with the violation behaviors to generate violation characteristic information.
Optionally, the combination analysis module is configured to:
determining violation behaviors of the violation characteristic information of each operation stage under different scenes according to a preset logic rule;
and according to the violation behaviors in different scenes, carrying out combined analysis on the violation characteristic information of each operation stage according to the identity attribute and the time node to obtain a violation statistical result.
Optionally, the obtaining module is configured to determine, at each job stage, whether the job ticket is completely recovered according to filling information on the job ticket before obtaining job information corresponding to each job stage of the job ticket after the job ticket is completely recovered, where each job stage includes a ticket storing sub-stage, a ticket fetching sub-stage, and a checking sub-stage.
Optionally, the apparatus comprises: an early warning module configured to:
carrying out rule violation analysis on the rule violation behaviors in the rule violation statistical result to determine a series of rule violation behaviors;
determining a violation source point of the series of violations, wherein the violation source point is a violation which causes the subsequent violations in the series of violations;
and generating target early warning information and a target emergency strategy aiming at the violation source point according to the historical accident case and the emergency strategy.
According to a third aspect of embodiments of the present disclosure, there is provided a computer-readable storage medium, having stored thereon a computer program which, when executed by a processor, performs the steps of the method of any one of the first aspects.
According to a fourth aspect of the embodiments of the present disclosure, there is provided an electronic apparatus including:
a memory having a computer program stored thereon;
a processor for executing the computer program in the memory to implement the steps of the method of any one of the first aspects.
Through the technical scheme, the following technical effects can be at least achieved:
after the work ticket is recovered, acquiring operation information corresponding to each operation stage of the work ticket, wherein the operation information comprises filling information recorded on the work ticket, operation information reported by a supervisor and operation image information acquired by an image acquisition device; the method can fully identify and analyze the operation information of the work ticket at each process flow transition stage, and automatically analyze the violation behaviors in the operation information of the work ticket; the operation information corresponding to each operation stage is input into the behavior analysis model corresponding to the operation stage to obtain violation characteristic information output by the behavior analysis model, so that the accuracy of violation characteristic extraction is improved, and similar violation omission is avoided; and according to a preset logic rule, performing combined analysis on the violation characteristic information of each operation stage to obtain a violation statistical result. The workload of the supervisor in the operation process is reduced, and the supervision and efficiency of the work ticket in the operation process is improved.
Additional features and advantages of the disclosure will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure, but do not constitute a limitation of the disclosure. In the drawings:
FIG. 1 is a flow diagram illustrating a method for work ticket based violation statistics in accordance with one embodiment.
Fig. 2 is a flowchart illustrating an implementation of step S13 in fig. 1 according to an embodiment.
FIG. 3 is a block diagram illustrating a violation statistics device based on a work ticket according to one embodiment.
FIG. 4 is a block diagram of an electronic device shown in accordance with an example embodiment.
Detailed Description
The following detailed description of specific embodiments of the present disclosure is provided in connection with the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the present disclosure, are given by way of illustration and explanation only, not limitation.
The embodiment of the disclosure provides a violation statistical method based on a work ticket, which is applied to supervision equipment of a power plant, fig. 1 is a flow chart of the violation statistical method based on the work ticket according to one embodiment, and the method is shown in fig. 1 and comprises the following steps:
in step S11, after the work ticket is recovered, the job information corresponding to each job stage of the work ticket is obtained, where the job information includes filling information recorded on the work ticket, operation information reported by a supervisor, and operation image information collected by an image collection device.
In the embodiment of the present disclosure, the filling information may include operation item information, a work principal, and a work task. The operation information reported by the supervisor can comprise time and corresponding violation operation records, and the operation image information can be operation images acquired by cameras arranged in various electrical equipment areas.
It can be stated that the operation information reported by the supervisory personnel in the present disclosure can compare the operation image information with the violation information in the filling information, thereby facilitating the extraction of the violation characteristic information in the job information.
In step S12, the operation information corresponding to each operation stage is input into the behavior analysis model corresponding to the operation stage, so as to obtain violation characteristic information output by the behavior analysis model.
In the embodiment of the disclosure, different overhaul modes exist in the overhaul process of the power equipment of the hydraulic power plant in different seasons, so that the behavior analysis model can be trained according to overhaul data samples in different seasons.
In step S13, the violation characteristic information of each job stage is subjected to combined analysis according to a preset logic rule, so as to obtain a violation statistical result.
In the embodiment of the disclosure, by classifying unsafe behaviors at an operation stage, operation information violation feature extraction and violation feature classification for different unsafe behavior grades and different unsafe behavior types are performed, records and automatic filling of each dimension are automatically generated on a platform, for example, by intelligent identification, so that automatic recording of unsafe behaviors in an equipment overhaul process is realized, for example, when ticket storage is set, a responsible person must store and fetch tickets personally, if other people store and fetch tickets, and the operation information is stored or fetched as unsafe behaviors, a record is recorded, and the format of the record may be, for example: the ticket replacing and storing behavior of the first person for carrying out the generator set overhaul in the XX time is defined as the ticket storing or ticket taking violation behavior of the generator set overhaul, the influence of human factors on violation records is eliminated, and the first person is liberated from complicated recording work.
According to the technical scheme, after the work ticket is recycled, the operation information corresponding to each operation stage of the work ticket is obtained, wherein the operation information comprises filling information recorded on the work ticket, operation information reported by a supervisor and operation image information collected by an image collecting device; the method can fully identify and analyze the operation information of the work ticket in each process flow transition stage, and automatically analyze the violation behaviors in the operation information of the work ticket; the operation information corresponding to each operation stage is input into the behavior analysis model corresponding to the operation stage to obtain violation characteristic information output by the behavior analysis model, so that the accuracy of violation characteristic extraction is improved, and similar violation omission is avoided; and according to a preset logic rule, performing combined analysis on the violation characteristic information of each operation stage to obtain a violation statistical result. The workload of the supervisor in the operation process is reduced, and the supervision and efficiency of the work ticket in the operation process is improved.
Optionally, the behavior analysis model obtains the violation characteristic information by:
determining whether the operation information input into the behavior analysis model is information corresponding to the working stage;
in the embodiment of the disclosure, tag information may be added to the job information of each job phase, and then it is determined whether the job information corresponds to the behavior analysis model of the present job phase according to the tag.
Under the condition that the input operation information corresponds to the information of the working stage, performing feature extraction and classification on the input operation information of the working stage according to a preset safety behavior grade and a safety behavior type;
in the embodiment of the disclosure, the safety behavior levels can be divided according to the severity of the consequences, and the safety behavior types can be divided according to the types and hazards of the power equipment.
And comparing the classified characteristic information with the violation behaviors to generate violation characteristic information.
Optionally, referring to fig. 2, in step S13, the step of performing combined analysis on the violation characteristic information of each working phase according to a preset logic rule to obtain a violation statistical result includes:
in step S131, determining violation behaviors of the violation feature information of each job phase in different scenes according to a preset logic rule;
different scenes can be divided into a ticket taking scene, a ticket storing scene, a tool checking scene before overhauling, a key borrowing scene before overhauling, an overhauling scene and a tool returning scene after overhauling.
In step S132, according to the violation behaviors in different scenes, the violation characteristic information of each job stage is combined and analyzed according to the identity attribute and the time node, so as to obtain a violation statistical result.
The identity attribute may refer to a person having authority such as a maintenance group leader, a maintenance group member, and the like, and a person having no authority such as a supervisor. For example, whether there is a violation to ask the supervisor to take the handle to help in the overhaul process.
The time nodes can be different scenes, and belong to the previous overhaul scene before the time nodes and belong to the next overhaul scene after the time nodes.
The violation characteristic information of each operation stage is combined and analyzed through a preset logic rule, for example, data integration and statistical analysis are carried out on the violation characteristic information of each operation stage, the number of violations in the current month is analyzed according to the month, the number of violations in the current month is ranked by operators in the current month, the violation behaviors are mainly concentrated in scenes, a great guide basis is provided for the following safety control, the relation between unsafe behaviors and the aspects of time, crowds, work content and the like is found, and error correction occurrence rules and safety management weak links are mined.
Optionally, before acquiring job information corresponding to each job phase of the job ticket after the job ticket is completely recovered, the method includes:
and in each operation stage, determining whether the work ticket is completely recycled according to filling information on the work ticket, wherein each operation stage comprises a ticket storing sub-stage, a ticket fetching sub-stage and a checking sub-stage.
In the embodiment of the disclosure, the ticket depositing sub-stage and the ticket fetching sub-stage can confirm the identity information of the ticket depositing and fetching person, so as to confirm whether the ticket depositing and fetching person in each stage has corresponding conditions. The sub-stage can be checked to determine whether the borrowing tool and the using tool meet corresponding conditions.
Optionally, the method comprises:
carrying out rule violation analysis on the rule violation behaviors in the rule violation statistical result to determine a series of rule violation behaviors;
in the disclosure, the series of violation behaviors refer to a plurality of violation behaviors in the same overhaul work, for example, for the overhaul of a turbine set, in the first overhaul process, the rule violation of getting a ticket and the rule violation of using a tool exist; in the second overhaul process, the sequence regulation violation of closing the electrical switch exists; in the third overhaul process, the third violation behaviors can be regarded as a series of violation behaviors, and the series violation behaviors that the order of turning on the electrical switch violates rules, the rule violations of using tools to violate rules, the order violation of turning off the electrical switch and the order violation of turning on the electrical switch are obtained for the overhaul of the turbine set.
Determining a violation source point of the series of violations, wherein the violation source point is a violation behavior causing subsequent violations in the series of violations;
and generating target early warning information and a target emergency strategy aiming at the violation source point according to the historical accident case and the emergency strategy.
In the embodiment of the disclosure, the historical accident cases can be divided according to seasons, and for safety accidents of hydropower stations, most of the historical accident cases have different seasons, so that different environmental conditions are caused, and different targeted maintenance measures are required. For example, due to air humidity and temperature, there are different switching sequences for servicing the same power equipment. Therefore, matching is needed according to the historical accident case of the current season.
Based on the same inventive concept, the present disclosure further provides a violation statistics device based on the work ticket, which is used for implementing the steps of the violation statistics method based on the work ticket provided by the above method embodiment, and the device 300 may implement the relevant violation statistics function in a software, hardware or a combination of the two. FIG. 3 is a block diagram illustrating a violation statistics device based on work tickets according to one embodiment. Referring to fig. 3, the apparatus 300 includes:
the acquisition module 310 is configured to acquire job information corresponding to each job stage of a work ticket after the work ticket is completely recovered, where the job information includes filling information recorded on the work ticket, operation information reported by a supervisor, and operation image information acquired by an image acquisition device;
the input module 320 is configured to input the job information corresponding to each job phase into the behavior analysis model corresponding to the work phase, so as to obtain violation characteristic information output by the behavior analysis model;
and the combined analysis module 330 is configured to perform combined analysis on the violation characteristic information of each operation stage according to a preset logic rule to obtain a violation statistical result.
Optionally, the behavioral analysis model includes:
determining whether the operation information input into the behavior analysis model is information corresponding to the working stage;
under the condition that the input operation information corresponds to the information of the working stage, performing feature extraction and classification on the input operation information of the working stage according to a preset safety behavior grade and a safety behavior type;
and comparing the classified characteristic information with the violation behaviors to generate violation characteristic information.
Optionally, the combination analysis module 330 is configured to:
determining violation behaviors of the violation characteristic information of each operation stage under different scenes according to a preset logic rule;
and according to the violation behaviors in different scenes, carrying out combined analysis on the violation characteristic information of each operation stage according to the identity attribute and the time node to obtain a violation statistical result.
Optionally, the obtaining module 310 is configured to determine whether the work ticket is completely recovered according to filling information on the work ticket at each work stage before obtaining the job information corresponding to each work stage of the work ticket after the work ticket is completely recovered, where each work stage includes a ticket storing sub-stage, a ticket fetching sub-stage, and a checking sub-stage.
Optionally, the apparatus 300 comprises: an early warning module configured to:
carrying out rule violation analysis on the rule violation behaviors in the rule violation statistical result to determine a series of rule violation behaviors;
determining a violation source point of the series of violations, wherein the violation source point is a violation which causes the subsequent violations in the series of violations;
and generating target early warning information and a target emergency strategy aiming at the violation source point according to the historical accident case and the emergency strategy.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
The embodiments of the present disclosure also provide a computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements the steps of the method of any of the preceding embodiments.
An embodiment of the present disclosure further provides an electronic device, including:
a memory having a computer program stored thereon;
a processor for executing the computer program in the memory to implement the steps of the method of any of the preceding embodiments.
Fig. 4 is a block diagram illustrating an electronic device 700 according to an example embodiment. As shown in fig. 4, the electronic device 700 may include: a processor 701 and a memory 702. The electronic device 700 may also include one or more of a multimedia component 703, an input/output (I/O) interface 704, and a communication component 705.
The processor 701 is configured to control the overall operation of the electronic device 700 to perform all or part of the steps of the above violation statistics method based on work tickets. The memory 702 is used to store various types of data to support operation at the electronic device 700, such as instructions for any application or method operating on the electronic device 700 and application-related data, such as contact data, transmitted and received messages, pictures, audio, video, and so forth. The Memory 702 may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as Static Random Access Memory (SRAM), electrically Erasable Programmable Read-Only Memory (EEPROM), erasable Programmable Read-Only Memory (EPROM), programmable Read-Only Memory (PROM), read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk, or optical disk. The multimedia components 703 may include screen and audio components. Wherein the screen may be, for example, a touch screen and the audio component is used for outputting and/or inputting audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signal may further be stored in the memory 702 or transmitted through the communication component 705. The audio assembly further comprises at least one speaker for outputting audio signals. The I/O interface 704 provides an interface between the processor 701 and other interface modules, such as a keyboard, mouse, buttons, and the like. These buttons may be virtual buttons or physical buttons. The communication component 705 is used for wired or wireless communication between the electronic device 700 and other devices. Wireless Communication, such as Wi-Fi, bluetooth, near Field Communication (NFC), 2G, 3G, 4G, NB-IOT, eMTC, or other 5G, or combinations thereof, which is not limited herein. The corresponding communication component 705 may thus include: wi-Fi modules, bluetooth modules, NFC modules, and the like.
In an exemplary embodiment, the electronic Device 700 may be implemented by one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital Signal Processing Devices (DSPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components for performing the above-described work ticket-based violation statistics method.
In another exemplary embodiment, a computer readable storage medium is also provided that includes program instructions which, when executed by a processor, implement the steps of the above-described work ticket based violation statistics method. For example, the computer readable storage medium may be the memory 702 described above including program instructions executable by the processor 701 of the electronic device 700 to perform the above-described violation statistics method based on work tickets.
In another exemplary embodiment, a computer program product is also provided, the computer program product comprising a computer program executable by a programmable device, the computer program having code portions for performing the above-described ticket-based violation statistics method when executed by the programmable device.
The preferred embodiments of the present disclosure are described in detail with reference to the accompanying drawings, however, the present disclosure is not limited to the specific details of the above embodiments, and various simple modifications may be made to the technical solution of the present disclosure within the technical idea of the present disclosure, and these simple modifications all belong to the protection scope of the present disclosure.
It should be noted that, in the foregoing embodiments, various features described in the above embodiments may be combined in any suitable manner, and in order to avoid unnecessary repetition, various combinations that are possible in the present disclosure are not described again.
In addition, any combination of various embodiments of the present disclosure may be made, and the same should be considered as the disclosure of the present disclosure as long as it does not depart from the gist of the present disclosure.
Claims (10)
1. A violation statistical method based on work tickets is characterized by comprising the following steps:
after the work ticket is recovered, acquiring operation information corresponding to each operation stage of the work ticket, wherein the operation information comprises filling information recorded on the work ticket, operation information reported by a supervisor and operation image information acquired by an image acquisition device;
inputting the operation information corresponding to each operation stage into a behavior analysis model corresponding to the operation stage to obtain violation characteristic information output by the behavior analysis model;
and according to a preset logic rule, performing combined analysis on the violation characteristic information of each operation stage to obtain a violation statistical result.
2. The method of claim 1 wherein the behavioral analysis model derives the violation signature information by:
determining whether the operation information input into the behavior analysis model is information corresponding to the working stage;
under the condition that the input operation information corresponds to the information of the working stage, performing feature extraction and classification on the input operation information of the working stage according to a preset safety behavior grade and a safety behavior type;
and comparing the classified characteristic information with the violation behaviors to generate violation characteristic information.
3. The method of claim 1 wherein said step of performing a combined analysis of said violation signature information for each of said job phases based on preset logic rules to obtain violation statistics comprises:
determining violation behaviors of the violation characteristic information of each operation stage under different scenes according to a preset logic rule;
and according to the violation behaviors in different scenes, carrying out combined analysis on the violation characteristic information of each operation stage according to the identity attribute and the time node to obtain a violation statistical result.
4. The method according to claim 1, wherein after the work ticket is recycled, before acquiring the job information corresponding to each job stage of the work ticket, the method comprises:
and in each operation stage, whether the work ticket is completely recycled is determined according to filling information on the operation ticket, and each operation stage comprises a ticket storing sub-stage, a ticket fetching sub-stage and a checking sub-stage.
5. The method according to any one of claims 1-4, characterized in that the method comprises:
carrying out rule violation analysis on the rule violation behaviors in the rule violation statistical result to determine a series of rule violation behaviors;
determining a violation source point of the series of violations, wherein the violation source point is a violation behavior causing subsequent violations in the series of violations;
and generating target early warning information and a target emergency strategy aiming at the violation source point according to the historical accident case and the emergency strategy.
6. A violation statistics device based on work tickets, the device comprising:
the acquisition module is configured to acquire operation information corresponding to each operation stage of a work ticket after the work ticket is recovered, wherein the operation information comprises filling information recorded on the work ticket, operation information reported by a supervisor and operation image information acquired by an image acquisition device;
the input module is configured to input the operation information corresponding to each operation stage into the behavior analysis model corresponding to the operation stage to obtain violation characteristic information output by the behavior analysis model;
and the combined analysis module is configured to perform combined analysis on the violation characteristic information of each operation stage according to a preset logic rule to obtain a violation statistical result.
7. The apparatus of claim 6, wherein the behavior analysis model comprises:
determining whether the operation information input into the behavior analysis model is information corresponding to the working stage;
under the condition that the input operation information corresponds to the information of the working stage, performing feature extraction and classification on the input operation information of the working stage according to a preset safety behavior grade and a safety behavior type;
and comparing the classified characteristic information with the violation behaviors to generate violation characteristic information.
8. The apparatus according to claim 6 or 7, characterized in that it comprises: an early warning module configured to:
carrying out rule violation analysis on the rule violation behaviors in the rule violation statistical result to determine a series of rule violation behaviors;
determining a violation source point of the series of violations, wherein the violation source point is a violation behavior causing subsequent violations in the series of violations;
and generating target early warning information and a target emergency strategy aiming at the violation source point according to the historical accident case and the emergency strategy.
9. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 5.
10. An electronic device, comprising:
a memory having a computer program stored thereon;
a processor for executing the computer program in the memory to carry out the steps of the method of any one of claims 1 to 5.
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| CN202211098036.9A CN115619328A (en) | 2022-09-08 | 2022-09-08 | Violation statistical method and device based on work ticket, storage medium and electronic equipment |
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| CN202211098036.9A CN115619328A (en) | 2022-09-08 | 2022-09-08 | Violation statistical method and device based on work ticket, storage medium and electronic equipment |
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| CN (1) | CN115619328A (en) |
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2022
- 2022-09-08 CN CN202211098036.9A patent/CN115619328A/en active Pending
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