Data-driven safety production management method and system, and device and storage medium

By generating accident safety indicators and conducting multi-dimensional analysis, the problem of underutilization of data in existing technologies has been solved, enabling in-depth mining and closed-loop improvement of enterprise accident data, thereby improving the efficiency of safety production management.

WO2025213655A1PCT designated stage Publication Date: 2025-10-16CONTEMPORARY AMPEREX TECHNOLOGY CO LTD
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Patent Information

Application Number
PCT/CN2024/112103
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Priority Date
2024-04-09
Filing Date
2024-08-14
Publication Date
2025-10-16

AI Technical Summary

Technical Problem

Existing technologies have failed to fully tap the value of enterprise production data, only collecting data without conducting in-depth analysis, resulting in a low level of data-driven capabilities and an inability to comprehensively display accident conditions and improve the ability to analyze accident data.

Method used

By analyzing the event level and preset indicators of accident data, the system generates the enterprise's accident safety indicator achievement results, analyzes multiple preset dimensions to generate accident distribution information, and generates action item tracking information based on the distribution information to achieve closed-loop improvement of accidents.

Benefits of technology

It enables multi-dimensional cross-analysis of enterprise accident data, improves the ability to analyze accident data, tracks the progress of accident handling, and enhances safety management efficiency and accident closed-loop improvement capabilities.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present application relates to the technical field of data processing. Disclosed are a data-driven safety production management method and system, and a device and a storage medium. The method comprises: on the basis of an event level of accident data and a preset indicator of each event level, obtaining an accident safety indicator achievement result of an enterprise; analyzing the accident safety indicator achievement result in at least one preset dimension, so as to obtain accident distribution information; and generating action item tracking information on the basis of the accident distribution information, wherein the action item tracking information is used for tracking a handling progress of an accident. The present application can fully tap into the value of enterprise production data.
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Description

Data-driven safety production management method, system, device and storage medium

[0001] The present application claims priority to the prior application with the application number 202410417443.4 and the name of data-driven safety production management method, system, device and storage medium, and the priority date is April 9, 2024. TECHNICAL FIELD

[0002] The present application belongs to the technical field of data processing, and in particular relates to a data-driven safety production management method, system, device and storage medium. BACKGROUND

[0003] Safety production is an important foundation for the continuous development of an enterprise, and therefore, monitoring and managing safety production indicators is an important step in production.

[0004] Existing safety monitoring of enterprise production mainly uses data collection and data quantification to reduce the workload of workers, but it only collects data and does not analyze enterprise production data in different dimensions or deeply mine the value of enterprise production data.

[0005] It should be noted that the above statements are only used to provide background technical information related to the present application, and do not necessarily constitute prior art.

[0006] SUMMARY

[0007] Therefore, the purpose of the present application is to provide a data-driven safety production management method, system, device and storage medium, which can solve the problem that the existing scheme cannot fully mine the value of enterprise production data.

[0008] To achieve the above purpose, in a first aspect, the present application provides a data-driven safety production management method, which comprises: obtaining an accident safety indicator achievement result of an enterprise according to an event level of accident data and a preset indicator of each event level; analyzing the accident safety indicator achievement result from at least one preset dimension to obtain accident distribution information; and generating action item tracking information according to the accident distribution information, the action item tracking information being used to track the processing progress of the accident.

[0009] The above embodiment obtains the enterprise accident safety index achievement result through the event level of the accident data and the preset index of each event level, can comprehensively display the accident situation of the enterprise, analyzes the accident safety index achievement result from at least one preset dimension, can obtain the accident distribution information based on different dimensions, can mine and analyze the enterprise accident data from different angles, mines the relationship between different dimension data, improves the analysis ability of the accident data, realizes the multi-dimensional cross analysis of the enterprise accident data, and generates action item tracking information according to the accident distribution information to track the processing progress of the accident, can track the processing measures after the accident, and realizes the closed-loop improvement of the accident.

[0010] In some embodiments, before obtaining the enterprise accident safety index achievement result, the method further comprises: determining the event level of the accident data according to one or more of the accident occurrence subject, the number of injured personnel in the accident, the injury degree of the personnel, and the accident type; and determining the preset index of each event level according to the number of occurrences of each event level in the historical accident data of the preset period.

[0011] The above embodiment, before obtaining the enterprise accident safety index achievement result, determines the event level of the accident data and the preset index of each event level, which helps to improve the accuracy of the accident safety index achievement result.

[0012] In some embodiments, the analysis of the accident safety index achievement result from at least one preset dimension to obtain the accident distribution information comprises: analyzing the accident safety index achievement result according to the combination condition of the preset dimension and the preset time period to obtain the accident distribution information; wherein the combination condition of the preset dimension and the preset time period includes at least one of the combination condition of the same preset dimension and different preset time periods, and the combination condition of different preset dimensions and the same time period.

[0013] The above embodiment analyzes the accident safety index achievement result according to the combination condition of the preset dimension and the preset time period, which can realize the multi-dimensional cross analysis of the enterprise accident data from different angles.

[0014] In some embodiments, after obtaining the accident distribution information, the method further comprises: in response to accident cause query information, obtaining the accident occurrence reason according to a preset accident cause analysis table, wherein the accident cause analysis table stores the corresponding relationship between the accident and the accident occurrence reason.

[0015] The above embodiment can analyze the cause of the accident event through the accident cause analysis table, which can help the enterprise managers to analyze the cause of the accident and improve the safety management efficiency.

[0016] In some embodiments, the action item tracking information is generated according to the accident distribution information, including: issuing a warning information in a case where an event level of an accident in the accident distribution information is greater than a preset index; and generating the action item tracking information based on the warning information.

[0017] The above embodiments can realize monitoring and early warning of enterprise safety, improve enterprise safety performance, and generate the action item tracking information based on the warning information, which can track the handling measures after the accident occurs, realize closed-loop improvement of the accident, and provide experience data for the same accident in the future, thereby improving safety management efficiency.

[0018] In some embodiments, the method further includes: classifying the accident data according to manufacturing bases and non-manufacturing bases according to a base type of the accident occurrence; and calculating and ranking safety performance of each manufacturing base and non-manufacturing base respectively to obtain base safety performance data.

[0019] The above embodiments are helpful for safety comparison between bases of the same type, reduce ranking errors caused by different base properties, make the performance data more reasonable, and are helpful for improving enterprise safety management efficiency.

[0020] In some embodiments, the calculating and ranking safety performance of each manufacturing base and non-manufacturing base respectively to obtain base safety performance data includes: performing weighted average on each event level according to a preset weight and an occurrence rate of accidents of different event levels in a preset statistical unit to obtain a performance score of each base; and ranking the performance scores in size order to obtain the base safety performance data.

[0021] The above embodiments obtain a performance score of each base by performing weighted average on each event level according to a preset weight and an occurrence rate of accidents of different event levels in a preset statistical unit, and then rank the performance scores, which realizes comprehensive consideration, makes the performance score of each base more reasonable, and improves accuracy of the base safety performance data.

[0022] In a second aspect, a data-driven safety production management system is also provided, including: a safety monitoring module configured to obtain an accident safety index achievement result of an enterprise according to an event level of accident data and a preset index of each event level; an accident analysis module configured to analyze the accident safety index achievement result from at least one preset dimension to obtain accident distribution information; and an accident tracking module configured to generate action item tracking information according to the accident distribution information, the action item tracking information being used to track a handling progress of the accident.

[0023] In a third aspect, an electronic device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, the processor executing the computer program to implement the method of the first aspect.

[0024] In a fourth aspect, a computer readable storage medium is provided, having stored thereon a computer program, the program being executable on a processor to implement the method of any of the first aspect.

[0025] The above description is merely a summary of the technical solutions of the present application. In order to enable one skilled in the art to better understand the technical means of the present application and implement it according to the contents of the description, and in order to enable the above and other purposes, features and advantages of the present application to be more apparent, the specific embodiments of the present application are described below. The above description is merely a summary of the technical solutions of the present application. In order to enable one skilled in the art to better understand the technical means of the present application and implement it according to the contents of the description, and in order to enable the above and other purposes, features and advantages of the present application to be more apparent, the specific embodiments of the present application are described below. BRIEF DESCRIPTION OF DRAWINGS

[0026] In the drawings, like reference numerals refer to like elements throughout the various drawings. The drawings are not necessarily to scale, emphasis instead being placed on illustrating the principles of the application. It should be understood that the drawings are merely depictions of some embodiments of the application and should not be construed as limiting the scope of the application. Moreover, in the drawings, the same reference numerals are used throughout the several views to designate the same elements.

[0027] Fig. 1 shows a step flowchart of a data-driven safety production management method according to an embodiment of the present application;

[0028] Fig. 2 shows a display interface diagram of an accident safety index achievement result of an enterprise according to an embodiment of the present application;

[0029] Fig. 3 shows a display interface diagram of accident distribution information according to an embodiment of the present application;

[0030] Fig. 4 shows a display interface diagram of action item tracking information according to an embodiment of the present application;

[0031] Fig. 5 shows a display interface diagram of early warning information according to an embodiment of the present application;

[0032] Fig. 6 shows a structural schematic diagram of a data-driven safety production management system according to an embodiment of the present application;

[0033] Fig. 7 shows a schematic diagram of an electronic device according to an embodiment of the present application;

[0034] Fig. 8 shows a schematic diagram of a storage medium according to an embodiment of the present application. DETAILED DESCRIPTION

[0035] The embodiments of the present application will be described in detail below with reference to the drawings. The following examples are only used to more clearly illustrate the technical scheme of the present application, and therefore only serve as examples, but cannot be used to limit the protection scope of the present application.

[0036] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs; the terminology used in the specification herein is for describing particular embodiments only and is not intended to be limiting of the application; the use herein of terms such as “comprise” and “have” and any variations such as “comprises” and “has” is intended to cover the presence of successively stated integers or features “without excluding any additional integer or feature”. But it does not mean excluding additional one or more other integers or features.

[0037] In the description of the embodiments of the present application, the technical terms “first”, “second”, and the like are only used to distinguish different objects, and cannot be understood as indicating or implying relative importance or implicitly indicating the number, specific order or primary and secondary relationship of the technical features indicated. In the description of the embodiments of the present application, the meaning of “plurality” is two or more, unless otherwise explicitly and specifically limited.

[0038] Reference herein to “an embodiment” means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearance of the phrase in various places in the specification does not necessarily all refer to the same embodiment, nor is it necessarily independent or alternative embodiments to other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0039] In the description of the embodiments of the present application, the term “and / or” is only a description of the association relationship of the associated objects, which means that there can be three relationships, for example, A and / or B, which can represent the three cases of A alone, A and B together, and B alone. In addition, the character “ / ” herein generally represents a “or” relationship between the front and rear associated objects.

[0040] In the description of the embodiments of the present application, the term “plurality” refers to two or more (including two), and similarly, “multiple groups” refers to two or more groups (including two groups), and “multiple pieces” refers to two or more pieces (including two pieces).

[0041] It should be noted that the embodiments in the present application and the features in the embodiments can be combined with each other without conflict. The present application will be described in detail below with reference to the drawings and in combination with the embodiments.

[0042] Safety production is an important foundation for the continuous development of an enterprise, and monitoring and managing safety production indexes is an important step in production. Although existing enterprises can reduce the workload of workers by mainly using data collection and data quantization to monitor the safety of enterprise production through the development of a data management platform, the data management platform in the related technology only serves as a single data storage, recording and display output terminal, and does not analyze enterprise production data in different dimensions or deeply mine the value of enterprise production data, and the data driving level is low.

[0043] Based on this, the embodiment of the present application provides a data-driven safety production management method. According to the event level of the accident data and the preset indexes of each event level, the accident safety index achievement result of the enterprise is obtained. The comparison result of the event level of the accident occurred in the enterprise and each level event with the preset indexes can be presented to the enterprise manager, and the user can be provided with a comprehensive accident occurrence situation. The accident safety index achievement result is analyzed from at least one preset dimension to obtain accident distribution information. The occurrence of the accident can be analyzed from multiple dimensions to realize cross analysis of the accident data, mine the relationship between data in different dimensions, improve the analysis capability of the accident data, generate action item tracking information according to the accident distribution information to track the processing progress of the accident, and track the processing measures after the accident occurs to realize closed-loop improvement of the accident.

[0044] Among them, the data-driven safety production management method of the embodiment of the present application can be applied to enterprises of different industries and different scales. The embodiment of the present application takes a battery enterprise as an example.

[0045] FIG. 1 shows a step flowchart of a data-driven safety production management method provided by the embodiment of the present application. As shown in FIG. 1, in the embodiment of the present application, a data-driven safety production management method includes the following steps S101-S103:

[0046] S101, according to the event level of the accident data and the preset indexes of each event level, the accident safety index achievement result of the enterprise is obtained.

[0047] S102, the accident safety index achievement result is analyzed from at least one preset dimension to obtain accident distribution information.

[0048] S103, according to the accident distribution information, action item tracking information is generated, and the action item tracking information is used to track the processing progress of the accident.

[0049] The execution subject of the embodiment of the present application can be an electronic device capable of executing the data-driven safety production management method, which can include but is not limited to a terminal or a server, etc.

[0050] In the embodiments of the present application, the accident data includes safety-related accident information of the enterprise, for example, one accident information is "an enterprise employee has an industrial injury", and another accident information is "a factory delivered by the enterprise has a smoking and fire event".

[0051] In one example, the battery enterprise can include different types of subordinate enterprises, for example, the battery enterprise includes subordinate enterprises of type I, type II and type III.

[0052] In the embodiments of the present application, the safety accidents that can occur in the battery enterprise can include the same level or different level accident events that occur in different types of subordinate enterprises, for example, the subordinate enterprise of type I has a fourth level event, and the subordinate enterprise of type II has a fourth level event. For another example, the subordinate enterprise of type III has a third level event, and the subordinate enterprise of type II has a second level event.

[0053] The level of the accident event represents the severity of the accident, and is set from low to high according to the severity. In the embodiments of the present application, the level of the accident event can include an attempted event, a slight abnormal event, a first level event, a second level event, a third level event and a fourth level event. For example, a fourth level event is caused by a person losing life, a third level event is caused by a person being seriously injured, a second level event is caused by a large area of goods being damaged, and a first level event is caused by slurry leakage.

[0054] Different accident events can also belong to the same event level, for example, a fourth level event can be caused by an accident event of a person losing life, or can be caused by an accident event of a large direct economic loss to the enterprise. The specific event level can be defined and set by the safety management personnel of the enterprise, which will not be described here.

[0055] In the embodiments of the present application, the preset index of each event level is used to control the number of each level accident event, for example, in one year, the preset index of the fourth level event is 0, the preset index of the third level event is 1, the preset index of the second level event is 2, and the preset index of the first level event is 4. The specific event level preset index can be defined and set according to the safety management status or the number of historical accidents of the enterprise.

[0056] In the embodiments of the present application, the accident safety index achievement result of the enterprise can reflect the actual accident situation of the enterprise in a preset period, and whether the accidents occurred in the preset period exceed the preset index, so that the safety manager of the enterprise can clearly understand the safety status of the enterprise.

[0057] In one example, the accident safety index achievement result of the enterprise of the embodiment of the present application can be displayed by a display page. FIG. 2 shows a display interface diagram of an accident safety index achievement result of an enterprise provided by the embodiment of the present application. As shown in FIG. 2, the user can select the period to be displayed through a control panel, such as “monthly KPI” in FIG. 2. The display period can also be changed by selecting the “year” selection control on the control panel.

[0058] The control panel can be divided into multiple display areas according to the event level. The “target value” and the “actual value” are displayed in each display area. The “target value” is the preset index of each event level in the selected period, and the “actual value” is the actual number of occurrences of each event level in the selected period.

[0059] In one example, the performance value can also be set according to different event levels. As shown in FIG. 2, four display areas are set according to the severity of the accident event, which correspond to “class I enterprise four-level personnel injury event”, “class II and III enterprise four-level event”, “one to three-level work injury event and fire alarm event”, and “one to three-level chemical leakage event”. The fire alarm event refers to the occurrence of a fire alarm event, including a burning event that has produced an open flame and a smoke event that has not produced an open flame, and other fire-related events. The events represented by the above four display areas can also be represented by performance identifiers. For example, the events of the four display areas correspond to performance A, performance B, performance C, and performance D, respectively, to represent the degree of safety events occurring in the enterprise in the selected period.

[0060] The preset dimensions in the embodiment of the present application can include event dimensions, time dimensions, accident cause dimensions, various types of enterprise dimensions, base dimensions, factory dimensions, process dimensions, and different dimensions such as pull line dimensions. The accident safety index achievement result is analyzed from at least one preset dimension to obtain accident distribution information, which can realize multidimensional cross-analysis of enterprise accident data from different angles to mine and analyze enterprise accident data.

[0061] The setting of different preset dimensions can realize the grid division, grid management, and grid monitoring of the group as a whole. For example, the group as a whole can be divided according to the base dimension, the factory dimension, the process dimension, and the pull line dimension to form a 1-4 level grid. The grid management can be realized by decomposing the employee safety production work tasks to the grid at all levels for execution. The grid monitoring can be realized by monitoring and feeding back the safety task execution of the grid at all levels and the safety production state of the grid in real time.

[0062] In one example, a safety performance evaluation mechanism can also be established according to the safety task execution of each grid, such as the accident safety index achievement result, to realize the grid evaluation of the group, which is beneficial to the safety management of the group as a whole.

[0063] Based on the weak link of the grid safety index achievement result, production management improvement action items can be formed, and then closed-loop tracking is implemented to realize the closed-loop rectification.

[0064] In one example, the task allocation and management of each grid can be as shown in Table 1.

[0065] Table 1:

[0066] In one example, the accident safety index achievement result is analyzed in the event dimension and the time dimension, and the obtained accident distribution information can be as shown in FIG. 3. FIG. 3 shows a display interface diagram of accident distribution information provided by an embodiment of the present application. The time selection control can be used to select the time period to be queried, such as “2023-09-01~2023-09-06”, the event selection control can be used to select the specific event to be queried, such as “personnel injury”, “chemical leakage”, “base on fire”, etc. After the dimensions to be queried are determined, the specific event level and quantity occurring in the above-mentioned queried time period and the warning value corresponding to the event level are displayed, so that the user can be intuitively shown the accident distribution information in different dimensions.

[0067] In the embodiment of the present application, the action item tracking information is generated according to the accident distribution information, and the action item tracking information is used to track the processing progress of the accident. For example, after the accident occurs, the embodiment of the present application can generate an action item list, and the user can query the processing progress of the accident by viewing the action item list.

[0068] FIG. 4 shows a display interface diagram of action item tracking information provided by an embodiment of the present application. As shown in FIG. 4, the action item list can display “action item name”, “person in charge”, “initiator”, “associated module”, “action item description”, “planned completion time”, “actual completion time”, “current state”, “operation item” and the like. Among them, the “action item name” can be the specific accident name, the “associated module” can display the accident cause associated with the accident, the “action item description” can display the explanation of the person in charge to the current accident, and the “operation item” can change the progress of the action item list, such as marking the action item of the accident as “completed” after the current accident has been processed.

[0069] The above embodiment can obtain the enterprise accident safety index achievement result through the event level of the accident data and the preset index of each event level, can comprehensively display the accident situation of the enterprise, can analyze the accident safety index achievement result from at least one preset dimension, can obtain the accident distribution information based on different dimensions, can mine and analyze the enterprise accident data from different angles, can mine the relationship between different dimension data, can improve the analysis ability of the accident data, can realize the multi-dimensional cross analysis of the enterprise accident data, and can generate the action item tracking information according to the accident distribution information to track the processing progress of the accident, can track the processing measures after the accident, and can realize the closed-loop improvement of the accident.

[0070] In the embodiment of the application, before obtaining the enterprise accident safety index achievement result, the method of the embodiment of the application further includes: determining the event level of the accident data according to one or more of the accident occurrence subject, the number of injured personnel, the degree of personnel injury, and the accident type; and determining the preset index of each event level according to the number of occurrences of each event level in the historical accident data of the preset period.

[0071] In the embodiment, the accident occurrence subject includes the enterprise and its type, the base, and the like, and the accident type includes personnel casualty, economic loss, fire, and raw material leakage.

[0072] In one example, the event level range of the accident data can be customized by the enterprise related personnel according to the actual situation, for example:

[0073] The fourth level event includes the event of the employees, suppliers, visitors, and the like of the Class I enterprise in the delivered factory, which loses life due to the work such as production, research and development, and modification; or the event of the Class II and III enterprises, which causes the following results: 1) causes n or more people to lose life; 2) causes m or more people to be seriously injured; 3) causes the direct economic loss to be x ten thousand or more; and 4) causes the accident event to be reported by the relevant departments due to the violation of safety, occupational health, environmental protection, and the like.

[0074] The first to third level events include the event of the employees being injured and the event of the built factory and the built factory being on fire, which are classified into the first to third levels according to the severity of the results; or the event of the powder, slurry, electrolyte, and experimental medicine being leaked, which are classified into the first to third levels according to the severity of the results.

[0075] The slight abnormal event includes the event of the personnel falling and being slightly injured, the event of the equipment aging and being prewarned, and the like.

[0076] The attempted event includes the event of the equipment being prewarned but not affecting the production, the event of the tool being lost and the measures being taken in time, and the like.

[0077] The specific event and its grade range can be customized and adjusted by the relevant personnel of the enterprise according to the actual situation, which will not be described one by one here. In an example, the above-mentioned accident event and its event grade can form a grade range table and be stored, and in the case of adding new accident data, the specific content of the newly added accident data can be analyzed, and the event grade corresponding to the newly added accident data can be obtained by comparing the grade range table.

[0078] According to the number of occurrences of each event grade in the historical accident data of the preset period, the preset index of each event grade is determined, that is, the preset index in the present application can be obtained from history, which can improve the setting accuracy of the preset index, and can realize the comparison of the safety situation of the current stage of the enterprise with the safety situation of the historical stage, which is more conducive for the relevant personnel of the enterprise to understand the safety situation of the enterprise. The preset period can be a self-defined period such as one week, one month, one year, etc.

[0079] The above-mentioned embodiments help to improve the accuracy of the accident safety index achievement result by determining the event grade of the accident data and the preset index of each event grade before obtaining the accident safety index achievement result of the enterprise.

[0080] In the embodiments of the present application, the above-mentioned analysis of the accident safety index achievement result from at least one preset dimension to obtain the accident distribution information includes: analyzing the accident safety index achievement result according to the combination condition of the preset dimension and the preset time period to obtain the accident distribution information; wherein the combination condition of the preset dimension and the preset time period includes at least one of the combination condition of the same preset dimension and different preset time periods, and the combination condition of different preset dimensions and the same time period.

[0081] In the present embodiment, the preset dimension can include event dimension, time dimension, accident cause dimension, each type of enterprise dimension, base dimension, etc. The preset time period can include a time period such as one week, one month, one year, etc.

[0082] The combination condition of the same preset dimension and different preset time periods, for example, is the accident distribution information of the chemical leakage event occurring during "2023-09-01 ~ 2023-09-06" and during "2023-10-01 ~ 2023-10-06".

[0083] The combination condition of different preset dimensions and the same time period, for example, is the accident distribution information of the chemical leakage event and the fire alarm event occurring during "2023-09-01 ~ 2023-09-06" and during "2023-10-01 ~ 2023-10-06", respectively.

[0084] The user can select any combination of preset dimensions and preset time periods through the interface shown in FIG. 3, and then output corresponding accident distribution information.

[0085] The above embodiments can realize multi-dimensional cross analysis of enterprise accident data by analyzing the results of the accident safety index according to the combination of preset dimensions and preset time periods, and can mine and analyze enterprise accident data from different angles.

[0086] In the embodiments of the present application, after obtaining the accident distribution information, the method further includes: in response to accident cause query information, obtaining an accident occurrence cause according to a preset accident cause analysis table, the accident cause analysis table storing a corresponding relationship between accidents and accident occurrence causes.

[0087] The accident cause query information can be triggered by the user or automatically brought out after obtaining the accident distribution information, for example, the accident cause query is automatically triggered by the association module of FIG. 3.

[0088] In the embodiments, the preset accident cause analysis table stores the corresponding relationship between accidents and accident occurrence causes, for example, the reasons for the chemical leakage event include 30% of personnel violating the regulations to perform risky operations, 50% of equipment defects, and 20% of management failures; for example, the reasons for the fire alarm accident include 50% of inadequate fire safety measures, 20% of improper personnel operation, and 30% of equipment aging; for example, the reasons for the personnel injury event include 25% of incorrect use of equipment, 25% of construction and installation defects, 25% of risky operation, and 25% of violation of safety operation, which can be set according to historical data, and will not be described here.

[0089] In one example, after obtaining the accident occurrence cause, the accident occurrence cause can be displayed in the form of a table or a pie chart.

[0090] The above embodiments can analyze the causes of the accident events through the accident cause analysis table, which can help enterprise managers analyze the causes of the accidents and improve the safety management efficiency.

[0091] In the embodiments of the present application, the action item tracking information is generated according to the accident distribution information, including: issuing a warning information when the event level of the occurred accident in the accident distribution information is greater than a preset index; and generating the action item tracking information based on the warning information.

[0092] When the event level of the occurred accident in the accident distribution information is greater than the preset index, it indicates that the number of accidents in the current period is greater than that in the historical period within a preset period, indicating that the safety capability of the enterprise has decreased, and the safety attention needs to be improved, and then the warning information is issued.

[0093] FIG. 5 shows a display interface of the early warning information in the embodiment of the present application. As shown in FIG. 5, the user can obtain the early warning information by checking the risk early warning list, and the early warning information can include the information of "early warning name", "actual value", "preset index value", "index deviation", "early warning time", "early warning level", "early warning reason", and "associated action item".

[0094] In one example, for the event level triggering the early warning, the system can automatically generate the action item list as shown in FIG. 4, or the user can input the improvement requirements and execution scheme through the triggering action item instruction, and the system generates the action item list to follow up and manage the work progress of the relevant person in charge, as shown in the action item list of FIG. 4.

[0095] The above embodiment can issue the early warning information when the event level of the accident in the accident distribution information is greater than the preset index, can realize the monitoring and early warning of the enterprise safety, improve the enterprise safety performance, and generate the action item tracking information based on the early warning information, which can track the treatment measures after the accident occurs, realize the closed-loop improvement of the accident, and provide the experience data for the same accident in the future, and improve the safety management efficiency.

[0096] In the embodiment of the present application, the data-driven safety production management method further includes: classifying the accident data according to manufacturing bases and non-manufacturing bases according to the base type of the accident occurrence; and calculating and ranking the safety performance of each manufacturing base and non-manufacturing base respectively to obtain the safety performance data of each base.

[0097] In the embodiment, the accident data is classified according to the manufacturing bases and the non-manufacturing bases, for example, the manufacturing bases and the non-manufacturing bases can be classified according to the battery cell manufacturing bases and the non-battery cell manufacturing bases, so as to facilitate the safety comparison between the bases of the same type, reduce the ranking error caused by the different base properties, and make the performance data more reasonable.

[0098] The safety performance of each manufacturing base and non-manufacturing base is calculated and ranked respectively to obtain the safety performance data of each base, which can help the enterprise safety management personnel to understand the safety ranking status of each base, can help the enterprise safety management personnel to obtain the safety ranking trend of each month and each year, and is helpful to improve the enterprise safety management efficiency.

[0099] The above embodiment is helpful to the safety comparison between the bases of the same type, reduces the ranking error caused by the different base properties, makes the performance data more reasonable, and is helpful to improve the enterprise safety management efficiency.

[0100] In the embodiments of the present application, the safety performance of each manufacturing base and non-manufacturing base is calculated and ranked respectively to obtain the safety performance data of each base, including: weighting and averaging each level of event according to the preset weight and the occurrence rate of the accident of different event levels under the preset statistical unit to obtain the performance score of each base; ranking the performance scores in size order to obtain the safety performance data of each base.

[0101] In one example, the preset weight can be set by relevant personnel according to actual conditions, for example, the weight of the unsuccessful event is 20%, the weight of the minor abnormal event is 20%, the weight of the first to third level events is 20%, and the weight of the fourth level event is negative, that is, when the fourth level event occurs, the score is directly deducted.

[0102] In one example, the preset statistical unit can be per million man-hours, per person, per month, etc. In the embodiments, per million man-hours is taken as an example, then the million man-hour unsuccessful event rate is the percentage of the number of unsuccessful events of the base in the month to the total man-hours of the employees of the base in the month, the million man-hour 1-3 level event rate is the percentage of the number of 1-3 level events of the base in the month to the total man-hours of the employees of the base in the month, and so on, so that the occurrence rate of the accident of different event levels under the preset statistical unit can be obtained.

[0103] The performance score of each base can be obtained by weighting and averaging each level of event according to the preset weight and the occurrence rate of the accident of different event levels under the preset statistical unit, so that the total performance score in each period such as each month, each quarter and each year can be calculated, and the performance scores are ranked in size order, so that the safety performance data of each base can be obtained, which can be presented to the enterprise safety management personnel in the form of a chart, so as to facilitate the enterprise to investigate the safety state of each base in each period.

[0104] The above embodiments realize comprehensive consideration by weighting and averaging each level of event according to the preset weight and the occurrence rate of the accident of different event levels under the preset statistical unit to obtain the performance score of each base and then ranking, so that the performance score of each base is more reasonable, and the accuracy of the safety performance data of each base is improved.

[0105] The above description of each embodiment tends to emphasize the differences between each embodiment, and the same or similar parts can be referred to each other, and for the sake of brevity, the description is not repeated herein.

[0106] The safety production management method in some embodiments of the present application is described below with a specific example. In the method, the battery cell production base is taken as an example for description.

[0107] The accident data of the three bases, i.e., the battery cell production base 1, the battery cell production base 2, and the battery cell production material supply base 3, in the past year are obtained, the bases 1, 2, and 3 belong to the same enterprise, for each of the bases 1, 2, and 3, the event level of the accident data is analyzed, and according to the preset index of each event level, for example, the preset index of a fourth-level event is 0 in one year, the preset index of a third-level event is 1, the preset index of a second-level event is 2, and the preset index of a first-level event is 4, the comparison result of the actual occurrence and the preset index of all the accident data in the past year is obtained as the accident safety index achievement result of each base, and the accident safety index achievement results of the bases 1, 2, and 3 can be summarized to obtain the accident safety index achievement result of the enterprise. The enterprise safety management personnel can obtain the accident safety index achievement result of the enterprise through the display interface shown in FIG. 2.

[0108] When it is necessary to analyze the accident safety index achievement result from different dimensions, the enterprise safety management personnel can select a specific event to be queried through the display interface of the accident distribution information shown in FIG. 3, analyze the accident safety index achievement result from at least one preset dimension, such as an event dimension, a time dimension, an accident cause dimension, a type of enterprise dimension, and a base dimension, to obtain accident distribution information, such as selecting “2023-09-01~2023-09-06” as the time period to be queried through the time selection control, selecting “personnel injury”, “chemical leakage”, and “base fire” as the specific events to be queried through the event selection control, and after determining the dimensions to be queried, displaying the event level and the number of events occurring in the above-mentioned time period and the corresponding early warning value of the event level, the different dimension accident distribution information can be directly and intuitively displayed to the user.

[0109] After the accident occurs, the embodiment of the present application can also generate an action item list, and the user can query the processing progress of the accident by viewing the action item list. As shown in FIG. 4, the action item list can display “action item name”, “person in charge”, “sponsor”, “associated module”, “action item description”, “planned completion time”, “actual completion time”, “current state”, and “operation item” and the like. The “action item name” can be a specific accident name, the “associated module” can display the accident cause associated with the accident, the “action item description” can display the explanation of the person in charge to the current accident, and the “operation item” can change the progress of the action item list, such as marking the action item of the accident as “completed” after the current accident has been processed. The processing measures after the accident can be tracked to realize the closed-loop improvement of the accident.

[0110] The embodiment of the present application provides a kind of data-driven safety production management system, Fig. 6 shows the structure schematic diagram of a kind of data-driven safety production management system provided by the embodiment of the present application, reference Fig. 6, the system 600 includes:

[0111] Safety monitoring module 601 is used to obtain the accident safety index achievement result of enterprise according to the event level of accident data and the preset index of each event level.

[0112] Accident analysis module 602 is used to analyze the accident safety index achievement result from at least one preset dimension, and obtain accident distribution information.

[0113] Accident tracking module 603 is used to generate action item tracking information according to the accident distribution information, and the action item tracking information is used to track the processing progress of accident.

[0114] In one example, safety monitoring module 601 is used to determine the event level of accident data according to one or more of accident occurrence subject, number of injured personnel, degree of personnel injury and accident type before obtaining the accident safety index achievement result of enterprise;Determine the preset index of each event level according to the number of occurrence of each event level in the historical accident data of preset period.

[0115] In one example, accident analysis module 602 is used to analyze the accident safety index achievement result according to the combination condition of preset dimension and preset time period, and obtain the accident distribution information;Wherein, the combination condition of preset dimension and preset time period includes at least one of the combination condition of same preset dimension and different preset time period, and the combination condition of different preset dimension and same time period.

[0116] In one example, accident analysis module 602 is used to obtain the accident occurrence reason according to the preset accident reason analysis table in response to accident reason query information after obtaining the accident distribution information, and the accident reason analysis table stores the corresponding relationship between accident and accident occurrence reason.

[0117] In one example, accident tracking module 603 is used to issue warning information in the case where the event level of accident in accident distribution information is greater than preset index;Generate the action item tracking information based on the warning information.

[0118] In one example, the system 600 further includes ranking module, which is used to classify accident data according to manufacturing base and non-manufacturing base according to the base type of accident occurrence;Calculate and rank the safety performance of each manufacturing base and non-manufacturing base respectively, and obtain base safety performance data.

[0119] In one example, the ranking module is further configured to: obtain a performance score of each base according to a preset weight and an occurrence rate of accidents of different event levels under a preset statistical unit; and rank the performance scores in descending order to obtain the safety performance data of the bases.

[0120] The system provided by the embodiments of the present application has the same inventive concept as the method provided by the embodiments of the present application, and has the same beneficial effects as the method.

[0121] The above description of various embodiments tends to emphasize the differences between various embodiments, and the same or similar parts can be referred to each other, and will not be described herein for the sake of brevity.

[0122] The embodiments of the present application provide an electronic device, and FIG. 7 shows a schematic diagram of an electronic device provided by the embodiments of the present application. As shown in FIG. 7, the electronic device 20 includes a processor 200, a memory 201, a bus 202 and a communication interface 203, the processor 200, the communication interface 203 and the memory 201 are connected through the bus 202, and the memory 201 stores a computer program capable of running on the processor 200, and the processor 200 runs the computer program to execute the method provided by any of the preceding embodiments of the present application.

[0123] The memory 201 can include a high-speed random access memory (RAM) and can also include a non-volatile memory such as at least one disk memory. The communication between the system network element and at least one other network element is realized through at least one communication interface 203 (which can be wired or wireless), and the Internet, a wide area network, a local network, a metropolitan area network, etc. can be used.

[0124] The bus 202 can be an ISA bus, a PCI bus, an EISA bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. The memory 201 is configured to store a program, and the processor 200 executes the program after receiving an execution instruction. The data-driven safety production management method disclosed in any of the preceding embodiments of the present application can be applied to the processor 200 or realized by the processor 200.

[0125] The processor 200 can be an integrated circuit chip with processing capability. In implementation process, each step of the above method can be completed by integrated logic circuit of hardware in the processor 200 or by instructions in the form of software. The processor 200 described above can be a general processor, including a central processing unit (CPU), a network processor (NP), etc.; or can be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware component. Each method, step and logic block diagram disclosed in the embodiments of the present application can be implemented or executed. The general processor can be a microprocessor or the processor can also be any conventional processor. The steps of the method disclosed in combination with the embodiments of the present application can be directly embodied as a hardware code processor for execution, or a combination of hardware and software modules in the code processor for execution. The software module can be located in a random access memory, a flash memory, a read only memory, a programmable read only memory or an electrically erasable programmable memory, a register, etc. The storage medium in the art. The storage medium is located in the memory 201, and the processor 200 reads the information in the memory 201, and combines the hardware to complete the steps of the above method.

[0126] The electronic device provided by the embodiments of the present application and the data-driven safety production management method provided by the embodiments of the present application have the same beneficial effects as the method adopted, run or implemented.

[0127] The present application also provides a computer readable storage medium corresponding to the data-driven safety production management method provided by the preceding embodiments. Fig. 8 shows a schematic diagram of a storage medium provided by the embodiments of the present application. Referring to Fig. 8, the computer readable storage medium shown is an optical disc 30, which stores a computer program (i.e. program product) thereon. When the computer program is run by a processor, it will execute the data-driven safety production management method provided by any of the preceding embodiments.

[0128] It should be noted that examples of the computer readable storage medium can also include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read only memory (ROM), electrically erasable programmable read only memory (EEPROM), flash memory or other optical, magnetic storage medium, which will not be described one by one here.

[0129] The computer readable storage medium provided by the above embodiments of the present application has the same application concept as the data-driven safety production management method provided by the embodiments of the present application, and has the same beneficial effects as the method adopted, run or implemented by the application program stored therein.

[0130] Finally, it should be noted that in the above text, the terms "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or device. Without more limitations, the element defined by the statement "comprises a" does not exclude the presence of another identical element in the process, method, article or device including the element. In addition, it should be noted that the scope of the method and device in the embodiments of the present application is not limited to performing functions in the order shown or discussed, but can also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved, for example, the described method can be performed in an order different from that described, and various steps can also be added, omitted or combined. In addition, the features described with reference to certain examples can be combined in other examples.

[0131] From the above description of the embodiments, those skilled in the art can clearly understand that the above-mentioned embodiment method can be realized by means of software and a necessary general hardware platform, of course, it can also be realized by hardware, but in many cases the former is a better embodiment. Based on such understanding, the technical solutions of the present application can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes a plurality of instructions for making a terminal (which can be a mobile phone, computer, server, air conditioner, or network device, etc.) execute the data-driven safety production management method provided by the embodiments of the present application.

[0132] The embodiments of the present application are described above in conjunction with the accompanying drawings, which are merely specific embodiments of the present application, but the present application is not limited to the above specific embodiments. The above specific embodiments are only illustrative, not restrictive, and those skilled in the art can make many forms under the inspiration of the present application without departing from the scope of the present application and the protection scope of the claims, which are all within the protection scope of the present application.

Claims

1. A data-driven safety production management method, wherein: The method comprises: According to the event level of the accident data and the preset indicators of each event level, the company's accident safety index achievement results are obtained; Analyze the achievement results of the accident safety indicator from at least one preset dimension to obtain accident distribution information; Action item tracking information is generated according to the accident distribution information, and the action item tracking information is used to track the handling progress of the accident.

2. The data-driven production safety management method according to claim 1, wherein: Before obtaining the accident safety index achievement result of the enterprise, the method further includes: Determining the event level of the accident data based on one or more of the following: the subject of the accident, the number of injured persons, the degree of injury, and the type of accident; The preset indicator for each event level is determined based on the number of occurrences of each event level in the historical accident data of a preset period.

3. The data-driven production safety management method according to any one of claims 1 or 2, wherein: Analyzing the achievement results of the accident safety indicators from at least one preset dimension to obtain accident distribution information includes: Analyze the accident safety indicator achievement results according to the combination conditions of the preset dimension and the preset time period to obtain the accident distribution information; The combination condition of the preset dimension and the preset time period includes at least one of a combination condition of the same preset dimension and a different preset time period and a combination condition of different preset dimensions and the same time period.

4. The data-driven production safety management method according to any one of claims 1 to 3, wherein: After obtaining the accident distribution information, the method further includes: In response to the accident cause query information, the cause of the accident is obtained according to a preset accident cause analysis table, in which the correspondence between accidents and the causes of the accidents is stored.

5. The data-driven production safety management method according to any one of claims 1 to 4, wherein: Generating action item tracking information based on the accident distribution information includes: When the event level of the accident occurring in the accident distribution information is greater than a preset index, issuing a warning message; The action item tracking information is generated based on the warning information.

6. The data-driven production safety management method according to any one of claims 1 to 5, wherein: The method further comprises: Based on the type of base where the accident occurred, the accident data was classified into manufacturing bases and non-manufacturing bases; The safety performance of each manufacturing base and non-manufacturing base is calculated and ranked separately to obtain the safety performance data of each base.

7. The data-driven production safety management method according to any one of claims 1 to 6, wherein: The safety performance of each manufacturing base and non-manufacturing base is calculated and ranked separately to obtain the safety performance data of each base, including: Based on the preset weights and the incidence rates of accidents at different event levels within the preset statistical units, a weighted average of each level of events is taken to obtain the performance score for each base. The performance scores are ranked in order of magnitude to obtain the safety performance data of each base.

8. A data-driven production safety management system, wherein: The system comprises: The safety monitoring module is used to obtain the company's accident safety indicator achievement results based on the event level of the accident data and the preset indicators of each event level; An accident analysis module is used to analyze the accident safety indicator achievement results from at least one preset dimension to obtain accident distribution information; The accident tracking module is used to generate action item tracking information based on the accident distribution information, and the action item tracking information is used to track the handling progress of the accident.

9. An electronic device, wherein: The method comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the data-driven safe production management method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, wherein: The program is executed by a processor to implement the data-driven safe production management method according to any one of claims 1 to 7.

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