Production safety assessment method, device, storage medium and electronic equipment

Abstract

The present disclosure relates to a production safety assessment method, device, storage medium and electronic device. The method comprises: obtaining a plurality of production safety measures corresponding to a target object to be assessed, and assessment results of a plurality of preset assessment indicators, and classifying the plurality of production safety measures into categories, obtaining a target measure category corresponding to each production safety measure, and determining preset original evaluation data of each production safety measure in the corresponding target measure category, and determining a measure evaluation value corresponding to the target object according to the preset original evaluation data and a preset weight coefficient corresponding to the target measure category, and determining a production safety evaluation value of the target object according to the measure evaluation value and the assessment result.

Description

Technical Field

[0001] The present disclosure relates to the field of analysis, and in particular, to a production safety assessment method, device, storage medium and electronic device. Background Art

[0002] Safe production is the basic guarantee for promoting the development of social productivity. In order to achieve safe production, a safe production assessment is usually conducted on the safety of production units and production equipment in the production units.

[0003] However, the current safety production assessment methods are less comprehensive and the assessment results are less accurate, and cannot effectively measure the safety production situation. Safety problems may still exist in the production of units and equipment. Summary of the invention

[0004] In order to overcome the problems existing in the related art, the present disclosure provides a production safety assessment method, device, storage medium and electronic device.

[0005] According to a first aspect of an embodiment of the present disclosure, a production safety assessment method is provided, the method comprising: obtaining a plurality of production safety measures corresponding to a target object to be assessed, and assessment results of a plurality of preset assessment indicators; classifying the plurality of production safety measures into categories to obtain a target measure category corresponding to each production safety measure; determining preset original evaluation data for each production safety measure in the corresponding target measure category; determining a measure evaluation value corresponding to the target object based on the preset original evaluation data and a preset weight coefficient corresponding to the target measure category; and determining a production safety evaluation value of the target object based on the measure evaluation value and the assessment result.

[0006] Optionally, the preset weight coefficient is determined in the following manner: based on the priority diagram method, the preset weight coefficient corresponding to each target measure category is determined.

[0007] Optionally, determining the measure evaluation value corresponding to the target object according to the preset original evaluation data and the preset weight coefficient corresponding to the target measure category includes: based on the priority diagram method, weighting the preset original evaluation data to obtain weighted evaluation data; determining the measure evaluation value according to the weighted evaluation data and the preset weight coefficient.

[0008] Optionally, the preset assessment indicators include preset positive incentive indicators and preset negative incentive indicators; determining the safety production evaluation value of the target object based on the measure evaluation value and the assessment result includes: determining the positive incentive evaluation value corresponding to the target object based on the first assessment result of the preset positive incentive indicator; determining the negative incentive evaluation value corresponding to the target object based on the second assessment result of the preset negative incentive indicator; determining the safety production evaluation value based on the positive incentive evaluation value, the negative incentive evaluation value and the measure evaluation value.

[0009] Optionally, determining the production safety evaluation value based on the positive incentive evaluation value, the negative incentive evaluation value and the measure evaluation value includes: determining the sum of the positive incentive evaluation value, the negative incentive evaluation value and the measure evaluation value as the production safety evaluation value.

[0010] Optionally, the method also includes: obtaining production safety evaluation values ​​of multiple target objects; outputting prompt information with different prompt intensities to the multiple target objects according to the production safety evaluation values, and the prompt information is used to prompt the target objects to adjust production safety measures according to the production safety evaluation values.

[0011] According to a second aspect of an embodiment of the present disclosure, a production safety assessment device is provided, the device comprising: An acquisition module is used to acquire multiple production safety measures corresponding to the target object to be evaluated, as well as the assessment results of multiple preset assessment indicators; A classification module, used to classify the multiple production safety measures into categories to obtain a target measure category corresponding to each production safety measure; A first determination module is used to determine the preset original evaluation data of each production safety measure in the corresponding target measure category; A second determination module is used to determine the measure evaluation value corresponding to the target object according to the preset original evaluation data and the preset weight coefficient corresponding to the target measure category; The third determination module is used to determine the safety production evaluation value of the target object according to the measure evaluation value and the assessment result.

[0012] Optionally, the first determination module is further used to determine a preset weight coefficient corresponding to each target measure category based on a priority diagram method.

[0013] Optionally, the second determination module is further used to perform weighted processing on the preset original evaluation data based on the priority diagram method to obtain weighted evaluation data, and determine the measure evaluation value according to the weighted evaluation data and the preset weight coefficient.

[0014] Optionally, the preset assessment indicators include preset positive incentive indicators and preset negative incentive indicators; the third determination module is also used to determine the positive incentive evaluation value corresponding to the target object according to the first assessment result of the preset positive incentive indicator, and determine the negative incentive evaluation value corresponding to the target object according to the second assessment result of the preset negative incentive indicator, and determine the production safety evaluation value according to the positive incentive evaluation value, the negative incentive evaluation value and the measure evaluation value.

[0015] Optionally, the third determination module is further used to determine the sum of the positive incentive evaluation value, the negative incentive evaluation value and the measure evaluation value as the production safety evaluation value.

[0016] Optionally, the device also includes: a prompt module; the third determination module is also used to obtain the production safety evaluation values ​​of the multiple target objects; the prompt module is used to output prompt information of different prompt intensities to the multiple target objects according to the level of the production safety evaluation values, and the prompt information is used to prompt the target objects to adjust the production safety measures according to the production safety evaluation values.

[0017] According to a third aspect of an embodiment of the present disclosure, a computer-readable storage medium is provided, on which computer program instructions are stored. When the program instructions are executed by a processor, the steps of the production safety assessment method provided by the first aspect of the present disclosure are implemented.

[0018] According to a fourth aspect of an embodiment of the present disclosure, there is provided an electronic device, comprising: a memory on which a computer program is stored; and a processor for executing the computer program in the memory to implement the steps of the production safety assessment method provided in the first aspect of the present disclosure.

[0019] Through the above technical solution, it is possible to obtain the assessment results of multiple production safety measures and multiple preset assessment indicators corresponding to the target object to be assessed, and to classify multiple production safety measures to obtain the target measure category corresponding to each production safety measure, and to determine the preset original evaluation data of each production safety measure in the corresponding target measure category, and to determine the measure evaluation value corresponding to the target object based on the preset original evaluation data and the preset weight coefficient corresponding to the target measure category, and to determine the production safety evaluation value of the target object based on the measure evaluation value and the assessment result. In this way, the production safety assessment of the target object can be conducted taking into account the assessment results of various production safety measures and safety assessments, which can improve the comprehensiveness of the assessment and the accuracy of the assessment results, and improve the measurement effect of the production safety situation of the target object. Subsequently, the production safety measures can be improved based on the production safety assessment results, and the safety management efficiency of the target object can be improved.

[0020] Other features and advantages of the present disclosure will be described in detail in the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The accompanying drawings are used to provide a further understanding of the present disclosure and constitute a part of the specification. Together with the following specific embodiments, they are used to explain the present disclosure but do not constitute a limitation of the present disclosure. In the accompanying drawings: Figure 1 The present invention is a flowchart of a production safety assessment method according to an exemplary embodiment.

[0022] Figure 2 The present invention is a flowchart of another production safety assessment method according to an exemplary embodiment.

[0023] Figure 3 The invention is a block diagram of a production safety assessment device according to an exemplary embodiment.

[0024] Figure 4 It is a block diagram of another production safety assessment device according to an exemplary embodiment.

[0025] Figure 5 It is a block diagram of an electronic device according to an exemplary embodiment. DETAILED DESCRIPTION

[0026] The specific implementation of the present disclosure is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described herein is only used to illustrate and explain the present disclosure, and is not used to limit the present disclosure.

[0027] The terms "first", "second", etc. in the disclosed specification and claims and the above drawings are used to distinguish similar objects and do not have to be understood as a specific order or sequence. In addition, in the description with reference to the drawings, the same symbols in different drawings represent the same elements.

[0028] In the description of the present disclosure, unless otherwise specified, "multiple" means two or more than two, and other quantifiers are similar thereto; "at least one item", "one item or multiple items" or similar expressions refer to any combination of these items, including any combination of singular or plural items. For example, at least one item a can represent any number of a; for another example, one item or multiple items among a, b and c can represent: a, b, c, ab, ac, bc, or abc, where a, b, c can be single or multiple; "and / or" is a kind of description of the association relationship of associated objects, indicating that there can be three kinds of relationships, for example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone, where A and B can be singular or plural. The character " / " indicates that the associated objects before and after are in an "or" relationship.

[0029] In the relevant technologies, safe production is the basic guarantee for promoting the development of social productivity. In order to achieve safe production, a safe production assessment is usually conducted on the safety of production units and production equipment in the production units. However, the current safe production assessment methods are less comprehensive, the accuracy of the assessment results is low, and they cannot effectively measure the safe production situation. There may still be safety problems in the production of units and equipment.

[0030] Therefore, in order to overcome the problems existing in the related art, the present disclosure provides a production safety assessment method, device, storage medium and electronic device, which can obtain the assessment results of multiple production safety measures and multiple preset assessment indicators corresponding to the target object to be assessed, and classify the multiple production safety measures to obtain the target measure category corresponding to each production safety measure, and determine the preset original evaluation data of each production safety measure in the corresponding target measure category, and determine the measure evaluation value corresponding to the target object according to the preset original evaluation data and the preset weight coefficient corresponding to the target measure category, and determine the production safety evaluation value of the target object according to the measure evaluation value and the assessment result. In this way, the production safety assessment of the target object can be carried out taking into account the assessment results of various production safety measures and safety assessments, which can improve the comprehensiveness of the assessment and the accuracy of the assessment results, improve the measurement effect of the production safety situation of the target object, and subsequently improve the production safety measures according to the production safety assessment results, which can improve the safety management efficiency of the target object.

[0031] The present disclosure is described below in conjunction with specific embodiments.

[0032] Figure 1 is a flow chart of a production safety assessment method according to an exemplary embodiment. Figure 1 As shown, the method may include the following steps: S11. Obtain multiple production safety measures corresponding to the target object to be evaluated, and assessment results of multiple preset assessment indicators.

[0033] The target object may include power production units or power production equipment. The production safety measures may include on-site quality control, participation in safety seminars, safety publicity, potential safety hazards discovery, safety inspections, safety technology innovation, fulfillment of production indicators, full-time safety configuration, and construction of a safety intelligence platform. It may also include operation records of production equipment, equipment failure repair, equipment maintenance, parameter monitoring, equipment inspections, safety procedures construction, production environment monitoring, safety device configuration, and information security protection. The assessment results may include the assessment results of environmental safety issues or the assessment results of personal safety issues.

[0034] S12. Classify the multiple production safety measures into categories to obtain a target measure category corresponding to each production safety measure.

[0035] Among them, for target objects such as production units, the target measure category can include the intensity of safety attention, the intensity of measure implementation, and the degree of measure discovery; for target objects such as production equipment, the target measure category can include equipment operation and maintenance status, parameter retention degree, and safety configuration perfection. For example, on-site quality control, participation in safety seminars, and safety publicity can be classified as safety attention, safety supervision, production index implementation, and safety professional configuration can be classified as measure implementation intensity, and safety hazard discovery, safety technology innovation, and safety intelligent platform construction can be classified as measure discovery degree; for another example, operation ledger records, equipment failure repair, and equipment maintenance can be classified as equipment operation and maintenance status, parameter monitoring, equipment inspection, and safety procedure construction can be classified as parameter retention degree, and production environment monitoring, safety device configuration, and information security protection can be classified as safety configuration perfection.

[0036] S13. Determine the preset original evaluation data of each production safety measure in the corresponding target measure category.

[0037] Among them, the preset original evaluation data can be combined with historical evaluation data and obtained by collecting characteristic information in production safety measures. For example, for target objects such as production units, the first characteristic information including on-site quality problems in on-site quality control can be extracted. For example, every time an on-site quality problem is found internally, a first preset original evaluation value A1 is assigned as 0.5A; the second characteristic information including safety suggestions and safety opinions in participating in safety discussions is extracted. Every time a safety suggestion is made, a second preset original evaluation value A2 is assigned as A, and every time a safety opinion is made, a second preset original evaluation value A2 is assigned as 0.8A; the third characteristic information including the number of publicity times in safety publicity is extracted. Every time a safety publicity is made, a third preset original evaluation value A3 is assigned as A; the fourth characteristic information including the number of safety supervisions in safety inspections is extracted. Every time a safety supervision is carried out, a fourth preset original evaluation value A4 is assigned as 0.5A; the fifth characteristic information including the execution data of the specified node in the execution of production indicators is extracted. Characteristic information can be used to assign a fifth preset original evaluation value A5 of -A each time a designated node is not completed within the specified time limit; extract the sixth characteristic information including the proportion of full-time security personnel to the unit's personnel in the full-time security configuration, and assign a sixth preset original evaluation value A6 of -A when the proportion of such personnel is greater than the specified proportion; extract the seventh characteristic information including the number of times a safety hazard is discovered in the discovery of potential safety hazards, and assign a seventh preset original evaluation value A7 of A each time a safety hazard is discovered; extract the eighth characteristic information of safety technology innovation, and assign an eighth preset original evaluation value A8 of A each time an effective safety technology is proposed; extract the ninth characteristic information including the application of intelligent platform functions in the construction of the security intelligent platform, and assign a ninth preset original evaluation value A9 of A each time a functional application is implemented.

[0038] Correspondingly, for target objects such as production equipment, the first preset original evaluation value can be extracted and assigned based on the first characteristic information of the equipment utilization rate in the operation ledger record, for example, A1=2*η*A, where η is the equipment utilization rate; the second preset original evaluation value can be extracted and assigned based on the second characteristic information of the number of repairs in equipment failure repair, for example, A2=-0.2*m1*A, where m1 is the number of repairs; the third preset original evaluation value can be extracted and assigned based on the third characteristic information of the number of maintenances in equipment maintenance, for example, A3=2*m2*A, where m2 is the number of maintenances; the fourth preset original evaluation value can be extracted and assigned based on the fourth characteristic information of the number of parameter abnormalities in parameter monitoring, for example, A4=-0.1*m3*A, where m3 is the number of data abnormalities; the fifth preset original evaluation value can be extracted and assigned based on the fifth characteristic information of the number of problems detected in equipment inspections value, for example, A5=-0.1*m4*A, where m4 is the number of data anomalies; the sixth characteristic information of the degree of perfection of the safety regulations in the safety regulations construction can be extracted and assigned a sixth preset original evaluation value, for example, A6=2*U1*A, where U1 is the degree of perfection of the safety regulations; the seventh characteristic information of the number of environmental anomalies in production environment monitoring can be extracted and assigned a seventh preset original evaluation value, for example, A7=-0.1*m5*A, where m5 is the number of environmental anomalies; the eighth characteristic information of the degree of perfection of the device in the safety device configuration can be extracted and assigned an eighth preset original evaluation value, for example, A6=2*U2*A, where U2 is the degree of perfection of the device; the ninth characteristic information of the number of network information anomalies in information security protection can be extracted and assigned a ninth preset original evaluation value, for example, A9=-1.5*m6*A, where m6 is the number of network information anomalies.

[0039] S14. Determine the measure evaluation value corresponding to the target object according to the preset original evaluation data and the preset weight coefficient corresponding to the target measure category.

[0040] In some embodiments, the preset weight coefficient corresponding to each target measure category can be determined based on the priority diagram method.

[0041] Among them, taking the target objects such as production units as an example, we can obtain the importance evaluation values ​​of multiple big data analysis scoring models for the degree of safety emphasis, the degree of measure implementation, and the degree of measure discovery, and establish a priority diagram based on the importance evaluation values:

[0042] Table 1 For example, see Table 1. The importance evaluation value range is 1-5. The higher the evaluation value, the higher the importance. After the evaluation is completed, the evaluation value of each target measure category is averaged and compared with each other. 12 Indicates the importance of safety emphasis relative to the implementation of measures, g13 Indicates the importance of safety attention relative to the degree of measures explored, g 21 Characterizes the importance of the measure's exploration level relative to the safety emphasis, g 23 Characterizes the importance of the implementation strength of the measure relative to the degree of exploration of the measure, g 31 Characterizes the importance of the measure's exploration level relative to the safety emphasis, g 32 Represents the importance of the degree of measure discovery relative to the strength of measure implementation. When the average values ​​of the evaluation values ​​corresponding to the two target measure categories are the same, the relative importance is 0.5. When the average values ​​of the evaluation values ​​corresponding to the two target measure categories are different, the relative importance of the one with a higher average evaluation value relative to the one with a lower average evaluation value is 1, and the relative importance of the one with a lower average evaluation value relative to the one with a higher average evaluation value is 0. For example, when the average value of the evaluation value of the safety emphasis is higher than the average value of the evaluation value of the measure implementation, g 12 =1, g 21 =0; when the average evaluation value of safety emphasis is equal to the average evaluation value of measure implementation strength, g 12 =0.5, g 21 =0.5; when the average value of the evaluation of safety emphasis is lower than the average value of the evaluation of the implementation of measures, g 12 =0, g 21 =1. In addition, P1=0.5+g 12 +g 13 , used to characterize the sum of the first relative importance of safety; P2=g 21 +0.5+g 23 , used to characterize the sum of the second relative importance of the implementation of measures; P3=g 31 +g 32 +0.5, the sum of the third relative importance used to characterize the degree of exploitation of the measures.

[0043] For example, the preset weight coefficient can be calculated by the following formula:

[0044]

[0045]

[0046] Among them, b1 is the first preset weight coefficient corresponding to the intensity of safety emphasis, b2 is the second preset weight coefficient corresponding to the intensity of measure implementation, and b3 is the third preset weight coefficient corresponding to the degree of measure exploration.

[0047] In addition, for target objects such as production equipment, the first preset weight coefficient corresponding to the equipment operation and maintenance status, the second preset weight coefficient corresponding to the parameter retention degree, and the third preset weight coefficient corresponding to the safety configuration completeness can be determined based on the above-mentioned priority diagram method. The specific implementation process of the method will not be repeated here.

[0048] S15. Determine the production safety evaluation value of the target object based on the evaluation value of the measure and the assessment result.

[0049] Among them, the production safety evaluation value is used to characterize the control effect of the target object on production safety. The higher the production safety evaluation value, the lower the probability of occurrence of safety risks.

[0050] By adopting the above scheme, it is possible to obtain the assessment results of multiple production safety measures and multiple preset assessment indicators corresponding to the target object to be assessed, and to classify the multiple production safety measures to obtain the target measure category corresponding to each production safety measure, and to determine the preset original evaluation data of each production safety measure in the corresponding target measure category, and to determine the measure evaluation value corresponding to the target object based on the preset original evaluation data and the preset weight coefficient corresponding to the target measure category, and to determine the production safety evaluation value of the target object based on the measure evaluation value and the assessment results. In this way, the production safety assessment of the target object can be conducted taking into account the assessment results of various production safety measures and safety assessments, which can improve the comprehensiveness of the assessment and the accuracy of the assessment results, and improve the measurement effect of the production safety situation of the target object. Subsequently, the production safety measures can be improved based on the production safety assessment results, and the safety management efficiency of the target object can be improved.

[0051] In some embodiments, the above step S14 may include: based on the priority diagram method, weighting the preset original evaluation data to obtain weighted evaluation data, and determining the evaluation value of the measure according to the weighted evaluation data and the preset weight coefficient.

[0052] For example, for target objects such as production units, the preset original evaluation data may include a first preset original evaluation value A1 corresponding to on-site quality control, a second preset original evaluation value A2 corresponding to safety discussion, a third preset original evaluation value A3 corresponding to safety publicity, a fourth preset original evaluation value A4 corresponding to safety supervision, a fifth preset original evaluation value A5 corresponding to production index fulfillment, a sixth preset original evaluation value A6 corresponding to safety professional configuration, a seventh preset original evaluation value A7 corresponding to safety hazard discovery, an eighth preset original evaluation value A8 corresponding to safety technology innovation, and a ninth preset original evaluation value A9 corresponding to safety intelligent platform construction. Based on the priority diagram method, the first weighted coefficient k1 of on-site quality control, the second weighted coefficient k2 of safety discussion, the third weighted coefficient k3 of safety publicity, the fourth weighted coefficient k4 of safety supervision, the fifth weighted coefficient k5 of production index fulfillment, the sixth weighted coefficient k6 of safety professional configuration, the seventh weighted coefficient k7 of safety hazard discovery, the eighth weighted coefficient k8 of safety technology innovation, and the ninth weighted coefficient k9 of safety intelligent platform construction can be determined. The product of the preset original evaluation value and the weighting coefficient can be used as weighted evaluation data. For example, the product of A1 and k1 can be used as the first weighted evaluation value M1 for on-site quality control, the product of A2 and k2 can be used as the second weighted evaluation value M2 for participating in safety discussions, the product of A3 and k3 can be used as the third weighted evaluation value M3 for safety publicity, the product of A4 and k4 can be used as the fourth weighted evaluation value M4 for safety supervision, the product of A5 and k5 can be used as the fifth weighted evaluation value M5 for production indicator fulfillment, the product of A6 and k6 can be used as the sixth weighted evaluation value M6 for full-time safety configuration, the product of A7 and k7 can be used as the seventh weighted evaluation value M7 for safety hazard discovery, the product of A8 and k8 can be used as the eighth weighted evaluation value M8 for safety technology innovation, and the product of A9 and k9 can be used as the ninth weighted evaluation value M9 for building a safety intelligent platform.

[0053] The evaluation value of this measure can be calculated using the following formula:

[0054] Among them, Y is the evaluation value of the measure, M1 is the first weighted evaluation value, M2 is the second weighted evaluation value, M3 is the third weighted evaluation value, M4 is the fourth weighted evaluation value, M5 is the fifth weighted evaluation value, M6 is the sixth weighted evaluation value, M7 is the seventh weighted evaluation value, M8 is the eighth weighted evaluation value, M9 is the ninth weighted evaluation value, b1 is the first preset weight coefficient corresponding to the intensity of safety emphasis, b2 is the second preset weight coefficient corresponding to the intensity of measure implementation, and b3 is the third preset weight coefficient corresponding to the degree of measure exploration.

[0055] In this way, the weight of each production safety measure can be considered, the original evaluation value can be weighted to obtain the weighted evaluation value, and the preset weight coefficient of each target measure category can be combined to determine the production safety evaluation value of the production safety measure, thereby improving the comprehensiveness and accuracy of the production safety assessment method.

[0056] It should be noted that the priority diagram method used to determine the weighted coefficients of various production safety measures can refer to the relevant method of using the priority diagram method to determine the preset weight coefficients in the previous article, which will not be repeated here. The method for determining the evaluation value of measures for target objects such as production equipment can also refer to the method for determining the evaluation value of measures for target objects such as production units in the previous article.

[0057] In some embodiments, the preset assessment indicators may include preset positive incentive indicators and preset negative incentive indicators. The above step S15 may include: determining the positive incentive evaluation value corresponding to the target object according to the first assessment result of the preset positive incentive indicator; determining the negative incentive evaluation value corresponding to the target object according to the second assessment result of the preset negative incentive indicator; determining the production safety evaluation value according to the positive incentive evaluation value, the negative incentive evaluation value and the measure evaluation value.

[0058] Among them, the preset assessment indicators may include an assessment of the occurrence of safety accidents, and the preset negative incentive indicators include the severity and number of safety accidents. For example, each time a major accident occurs, the value of the negative incentive evaluation value N2 decreases by 10*N; each time a medium-sized accident occurs, the value of the negative incentive evaluation value N2 decreases by 5*N; each time a small accident occurs, the value of the negative incentive evaluation value N2 decreases by N. Among them, the criteria for distinguishing large accidents, medium-sized accidents and small accidents can be determined based on historical data and the actual situation of each target object. The preset positive incentive indicators may include incentives for the target object not to have a safety accident within a preset time period. For example, if the target object does not have a safety accident within a preset time period, the value of the positive incentive evaluation value N1 increases by 3*N. The length of the preset time period can be determined based on the actual situation of each target object.

[0059] In this way, we can consider the occurrence of safety accidents of the target object, determine the positive incentive evaluation value and negative incentive evaluation value of the target object, and comprehensively consider the measure evaluation value to evaluate the control effect of the target object on production safety, improve the comprehensiveness and accuracy of the production safety assessment method, and improve the measurement effect of the production safety situation.

[0060] In some embodiments, the sum of the positive incentive evaluation value, the negative incentive evaluation value, and the measure evaluation value may be determined as the production safety evaluation value.

[0061] For example, the safety production evaluation value can be calculated by the following formula:

[0062] Among them, Q is the safety production evaluation value, Y is the measure evaluation value, N1 is the positive incentive evaluation value, and N2 is the negative incentive evaluation value.

[0063] In other embodiments, the safety production evaluation values ​​of multiple target objects may be obtained, and prompt information with different prompt intensities may be output to the multiple target objects according to the safety production evaluation values.

[0064] The prompt information is used to prompt the target object to adjust the safety production measures according to the safety production evaluation value. For example, the safety production evaluation values ​​Q of n target objects can be obtained, which are recorded as Q1, Q2, Q3, ..., Q n , sort these production safety evaluation values ​​Q by high and low, and determine the target objects whose corresponding production safety evaluation values ​​rank in the top 30% of all production safety evaluation values ​​as low-risk objects; determine the target objects whose corresponding production safety evaluation values ​​rank in the 30%-60% of all production safety evaluation values ​​as medium-risk objects; determine the target objects whose corresponding production safety evaluation values ​​rank in the bottom 40% of all production safety evaluation values ​​as high-risk objects. The first prompt information can be output to the low-risk object, for example, it can be prompted that the effect of the production safety measures of the low-risk object is good, and the production safety measures can be maintained; the second prompt information can be output to the medium-risk object, for example, it can be prompted that the effect of the production safety measures of the medium-risk object is average, and the production safety measures can be tried to be explored to reduce the production safety risk; the third prompt information can be output to the high-risk object, for example, it can be prompted that the effect of the production safety measures of the high-risk object is poor, and safety monitoring needs to be strengthened to reduce the production safety risk.

[0065] In this way, the evaluation results obtained according to the above method can clearly reflect the changing trend of the safety management level of the target object during the evaluation period. Outputting prompt information to the target object according to the production safety evaluation value can motivate the target object to improve its safety management level.

[0066] Figure 2 is a flow chart of another production safety assessment method according to an exemplary embodiment. Figure 2 As shown, the method includes: S201. Obtain multiple production safety measures corresponding to the target object to be evaluated, and assessment results of multiple preset assessment indicators.

[0067] The target object may include power production units or power production equipment. The production safety measures may include on-site quality control, participation in safety seminars, safety publicity, potential safety hazards discovery, safety inspections, safety technology innovation, fulfillment of production indicators, full-time safety configuration, and construction of a safety intelligence platform. It may also include operation records of production equipment, equipment failure repair, equipment maintenance, parameter monitoring, equipment inspections, safety procedures construction, production environment monitoring, safety device configuration, and information security protection. The assessment results may include the assessment results of environmental safety issues or the assessment results of personal safety issues.

[0068] S202: Classify the multiple production safety measures into categories to obtain a target measure category corresponding to each production safety measure.

[0069] Among them, for target objects such as production units, the target measure categories may include the intensity of safety attention, the intensity of measure implementation, and the degree of measure exploration; for target objects such as production equipment, the target measure categories may include equipment operation and maintenance status, parameter retention degree, and safety configuration completeness.

[0070] S203. Determine the preset original evaluation data of each production safety measure in the corresponding target measure category.

[0071] Among them, the preset original evaluation data can be combined with historical evaluation data and obtained by collecting characteristic information in production safety measures.

[0072] S204. Based on the priority diagram method, determine the preset weight coefficient corresponding to each target measure category.

[0073] S205: Based on the priority diagram method, the preset original evaluation data is standardized to obtain standardized evaluation data.

[0074] S206: Determine the measure evaluation value according to the standardized evaluation data and the preset weight coefficient.

[0075] The evaluation value of the measure can be calculated by the following formula:

[0076] Among them, Y is the evaluation value of the measure, M1 is the first weighted evaluation value, M2 is the second weighted evaluation value, M3 is the third weighted evaluation value, M4 is the fourth weighted evaluation value, M5 is the fifth weighted evaluation value, M6 is the sixth weighted evaluation value, M7 is the seventh weighted evaluation value, M8 is the eighth weighted evaluation value, M9 is the ninth weighted evaluation value, b1 is the first preset weight coefficient, b2 is the second preset weight coefficient, and b3 is the third preset weight coefficient.

[0077] S207. Determine the positive incentive evaluation value corresponding to the target object according to the first assessment result of the preset positive incentive indicator.

[0078] Among them, the preset positive incentive indicator may include incentives for the target object not to have a safety accident within a preset time period.

[0079] S208. Determine the negative incentive evaluation value corresponding to the target object according to the second assessment result of the preset negative incentive indicator.

[0080] Among them, the preset negative incentive indicators include the severity and number of safety accidents.

[0081] S209. Determine the sum of the positive incentive evaluation value, the negative incentive evaluation value and the measure evaluation value as the production safety evaluation value.

[0082] Among them, the safety production evaluation value can be calculated by the following formula:

[0083] Among them, Q is the safety production evaluation value, Y is the measure evaluation value, N1 is the positive incentive evaluation value, and N2 is the negative incentive evaluation value.

[0084] By adopting the above scheme, it is possible to obtain multiple production safety measures corresponding to the target object to be evaluated, the first assessment result of the preset positive incentive index, and the second assessment result of the preset negative incentive index, and to classify the multiple production safety measures to obtain the target measure category corresponding to each production safety measure, and determine the preset original evaluation data of each production safety measure in the corresponding target measure category, determine the preset weight coefficient corresponding to the target measure category based on the priority diagram method, and determine the weighted evaluation value of the preset original evaluation data weighted by the weight coefficient of each production safety measure based on the priority diagram method, determine the measure evaluation value according to the weighted evaluation value and the preset weight coefficient, and sum it with the positive incentive evaluation value corresponding to the first assessment result and the negative incentive evaluation value corresponding to the second assessment result to obtain the production safety evaluation value of the target object. In this way, the evaluation results of various production safety measures and safety assessments can be taken into account, and the production safety evaluation of the target object can be performed based on statistical methods such as the priority diagram method, which can improve the comprehensiveness of the evaluation and the accuracy of the evaluation results, and improve the measurement effect of the production safety situation of the target object. The production safety measures can be improved according to the production safety evaluation results in the future, and the safety management efficiency of the target object can be improved.

[0085] It should be noted that, for the specific implementation of each step in the above embodiment, reference can be made to the description of the relevant steps in the above embodiment, which will not be repeated here.

[0086] In addition, for the above method embodiments, for the sake of simplicity, they are all described as a series of action combinations, but those skilled in the art should know that the present invention is not limited by the described action sequence. For example, the above steps S204 and S05 are not limited to the step sequence shown in the current embodiment, and step S205 may be performed first, then step S204, or step S204 and step S205 may be performed simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present invention.

[0087] Figure 3 is a block diagram of a production safety assessment device according to an exemplary embodiment, referring to Figure 3 , the device comprises: The acquisition module 301 is used to acquire multiple production safety measures corresponding to the target object to be evaluated, and the assessment results of multiple preset assessment indicators; A classification module 302 is used to classify the multiple production safety measures into categories to obtain a target measure category corresponding to each production safety measure; The first determination module 303 is used to determine the preset original evaluation data of each production safety measure in the corresponding target measure category; A second determination module 304 is used to determine the measure evaluation value corresponding to the target object according to the preset original evaluation data and the preset weight coefficient corresponding to the target measure category; The third determination module 305 is used to determine the safety production evaluation value of the target object according to the measure evaluation value and the assessment result.

[0088] Optionally, the first determination module 303 is further configured to determine a preset weight coefficient corresponding to each target measure category based on a priority diagram method.

[0089] Optionally, the second determination module 304 is further used to perform weighted processing on the preset original evaluation data based on a priority diagram method to obtain weighted evaluation data, and determine the measure evaluation value according to the weighted evaluation data and the preset weight coefficient.

[0090] Optionally, the third determination module 305 is also used to determine the positive incentive evaluation value corresponding to the target object according to the first assessment result of the preset positive incentive indicator, and to determine the negative incentive evaluation value corresponding to the target object according to the second assessment result of the preset negative incentive indicator, and to determine the production safety evaluation value based on the positive incentive evaluation value, the negative incentive evaluation value and the measure evaluation value.

[0091] Optionally, the third determination module 305 is further used to determine the sum of the positive incentive evaluation value, the negative incentive evaluation value and the measure evaluation value as the production safety evaluation value.

[0092] Alternatively, if Figure 4 As shown, the device also includes: a prompt module 306; the third determination module 305 is also used to obtain the safety production evaluation values ​​of multiple target objects; the prompt module 306 is used to output prompt information of different prompt intensities to the multiple target objects according to the safety production evaluation values, and the prompt information is used to prompt the target objects to adjust the safety production measures according to the safety production evaluation values.

[0093] By adopting the above device, it is possible to obtain multiple production safety measures corresponding to the target object to be evaluated, the first assessment result of the preset positive incentive index, and the second assessment result of the preset negative incentive index, and classify the multiple production safety measures to obtain the target measure category corresponding to each production safety measure, and determine the preset original evaluation data of each production safety measure in the corresponding target measure category, determine the preset weight coefficient corresponding to the target measure category based on the priority diagram method, and determine the weighted evaluation value of the preset original evaluation data weighted by the weight coefficient of each production safety measure based on the priority diagram method, determine the measure evaluation value according to the weighted evaluation value and the preset weight coefficient, and sum it with the positive incentive evaluation value corresponding to the first assessment result and the negative incentive evaluation value corresponding to the second assessment result to obtain the production safety evaluation value of the target object. In this way, the evaluation results of various production safety measures and safety assessments can be taken into account, and the production safety evaluation of the target object can be performed based on statistical methods such as the priority diagram method, which can improve the comprehensiveness of the evaluation and the accuracy of the evaluation results, and improve the measurement effect of the production safety situation of the target object. The production safety measures can be improved according to the production safety evaluation results in the future, and the safety management efficiency of the target object can be improved.

[0094] Regarding the device in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0095] Figure 5 FIG. 5 is a block diagram of an electronic device 500 according to an exemplary embodiment. Figure 4 As shown, the electronic device 500 may include: a processor 501 , a memory 502 . The electronic device 500 may also include one or more of a multimedia component 503 , an input / output (I / O) interface 504 , and a communication component 505 .

[0096] The processor 501 is used to control the overall operation of the electronic device 500 to complete all or part of the steps in the above-mentioned safety production assessment method. The memory 502 is used to store various types of data to support the operation of the electronic device 500. For example, these data may include instructions for any application or method used to operate on the electronic device 500, and application-related data, such as contact data, messages sent and received, pictures, audio, video, etc. The memory 502 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read-Only Memory, referred to as EPROM), programmable read-only memory (Programmable Read-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic memory, flash memory, magnetic disk or optical disk. The multimedia component 503 may include a screen and an audio component. The screen may be, for example, a touch screen, and the audio component is used to output and / or input audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signal may be further stored in the memory 502 or sent through the communication component 505. The audio component also includes at least one speaker for outputting audio signals. The I / O interface 504 provides an interface between the processor 501 and other interface modules, and the other interface modules may be keyboards, mice, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 505 is used for wired or wireless communication between the electronic device 500 and other devices. Wireless communication, such as Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G, 4G, NB-IOT, eMTC, or other 5G, etc., or a combination of one or more of them, is not limited here. Therefore, the corresponding communication component 505 may include: Wi-Fi module, Bluetooth module, NFC module, etc.

[0097] In an exemplary embodiment, the electronic device 500 can be implemented by one or more application specific integrated circuits (ASIC), digital signal processors (DSP), digital signal processing devices (DSPD), programmable logic devices (PLD), field programmable gate arrays (FPGA), controllers, microcontrollers, microprocessors or other electronic components to execute the above-mentioned production safety assessment method.

[0098] In another exemplary embodiment, a computer-readable storage medium including program instructions is also provided, and when the program instructions are executed by a processor, the steps of the above-mentioned production safety assessment method are implemented. For example, the computer-readable storage medium can be the above-mentioned memory 502 including program instructions, and the above-mentioned program instructions can be executed by the processor 501 of the electronic device 500 to complete the above-mentioned production safety assessment method.

[0099] In another exemplary embodiment, a computer program product is also provided. The computer program product includes a computer program that can be executed by a programmable device. The computer program has a code portion for executing the above-mentioned production safety assessment method when executed by the programmable device.

[0100] The preferred embodiments of the present disclosure are described in detail above in conjunction with the accompanying drawings; however, the present disclosure is not limited to the specific details in the above embodiments. Within the technical concept of the present disclosure, a variety of simple modifications can be made to the technical solution of the present disclosure, and these simple modifications all fall within the protection scope of the present disclosure.

[0101] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the present disclosure will not further describe various possible combinations.

[0102] In addition, various embodiments of the present disclosure may be arbitrarily combined, and as long as they do not violate the concept of the present disclosure, they should also be regarded as the contents disclosed by the present disclosure.

Claims

1. A production safety assessment method, characterized in that: The method comprises: Obtain multiple production safety measures corresponding to the target object to be evaluated, as well as the assessment results of multiple preset assessment indicators; Classify the multiple production safety measures into categories to obtain a target measure category corresponding to each production safety measure; Determine the preset original evaluation data for each production safety measure in the corresponding target measure category; Determining the measure evaluation value corresponding to the target object according to the preset original evaluation data and the preset weight coefficient corresponding to the target measure category; The safety production evaluation value of the target object is determined according to the measure evaluation value and the assessment result.

2. The method according to claim 1, characterized in that The preset weight coefficient is determined by: Based on the priority diagram method, determine the preset weight coefficient corresponding to each target measure category.

3. The method according to claim 1, characterized in that Determining the measure evaluation value corresponding to the target object according to the preset original evaluation data and the preset weight coefficient corresponding to the target measure category includes: Based on the priority diagram method, the preset original evaluation data is weighted to obtain weighted evaluation data; The measure evaluation value is determined according to the weighted evaluation data and the preset weight coefficient.

4. The method according to claim 1, characterized in that The preset assessment indicators include preset positive incentive indicators and preset negative incentive indicators; the step of determining the safety production evaluation value of the target object according to the measure evaluation value and the assessment result includes: Determining a positive incentive evaluation value corresponding to the target object according to a first assessment result of the preset positive incentive indicator; Determining a negative incentive evaluation value corresponding to the target object according to a second assessment result of the preset negative incentive indicator; The production safety evaluation value is determined according to the positive incentive evaluation value, the negative incentive evaluation value and the measure evaluation value.

5. The method according to claim 4, characterized in that The determining the production safety evaluation value according to the positive incentive evaluation value, the negative incentive evaluation value and the measure evaluation value comprises: The sum of the positive incentive evaluation value, the negative incentive evaluation value and the measure evaluation value is determined as the production safety evaluation value.

6. The method according to any one of claims 1 to 5, characterized in that: The method further comprises: Obtaining safety production evaluation values ​​of a plurality of target objects; According to the safety production evaluation value, prompt information with different prompt intensities is output to the multiple target objects, and the prompt information is used to prompt the target objects to adjust safety production measures according to the safety production evaluation value.

7. A production safety assessment device, characterized in that: The device comprises: An acquisition module is used to acquire multiple production safety measures corresponding to the target object to be evaluated, as well as the assessment results of multiple preset assessment indicators; A classification module, used to classify the multiple production safety measures into categories to obtain a target measure category corresponding to each production safety measure; A first determination module is used to determine the preset original evaluation data of each production safety measure in the corresponding target measure category; A second determination module is used to determine the measure evaluation value corresponding to the target object according to the preset original evaluation data and the preset weight coefficient corresponding to the target measure category; The third determination module is used to determine the safety production evaluation value of the target object according to the measure evaluation value and the assessment result.

8. The device according to claim 7, characterized in that The first determination module is further used to determine a preset weight coefficient corresponding to each target measure category based on a priority diagram method.

9. The device according to claim 7, characterized in that The second determination module is further used to perform weighted processing on the preset original evaluation data based on the priority diagram method to obtain weighted evaluation data, and determine the measure evaluation value according to the weighted evaluation data and the preset weight coefficient.

10. The device according to claim 7, characterized in that The preset assessment indicators include preset positive incentive indicators and preset negative incentive indicators; The third determination module is also used to determine the positive incentive evaluation value corresponding to the target object according to the first assessment result of the preset positive incentive indicator, and to determine the negative incentive evaluation value corresponding to the target object according to the second assessment result of the preset negative incentive indicator, and to determine the production safety evaluation value according to the positive incentive evaluation value, the negative incentive evaluation value and the measure evaluation value.

11. The device according to claim 10, characterized in that The third determination module is further used to determine the sum of the positive incentive evaluation value, the negative incentive evaluation value and the measure evaluation value as the production safety evaluation value.

12. The device according to any one of claims 7 to 11, characterized in that: The device also includes: a prompt module; the third determination module is also used to obtain the safety production evaluation values ​​of the multiple target objects; the prompt module is used to output prompt information of different prompt intensities to the multiple target objects according to the safety production evaluation values, and the prompt information is used to prompt the target objects to adjust their safety production measures according to the safety production evaluation values.

13. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

14. An electronic device, characterized in that: include: a memory having a computer program stored thereon; A processor, configured to execute the computer program in the memory to implement the steps of the method according to any one of claims 1 to 6.

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