CN115239190A - Safety responsibility system comprehensive evaluation system - Google Patents
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Abstract
The invention discloses a safety responsibility comprehensive evaluation system, which is characterized in that a data acquisition module is used for acquiring various safety responsibility related files, analyzing and processing the various files to form a safety responsibility basic database, a standard evaluation module is used for carrying out weight analysis on various safety responsibility basic data, a standard score of each safety responsibility in place is calculated to form a safety responsibility in-place measuring standard database, a quantitative evaluation module is used for quantifying the performing state of each performing operation condition to generate a performing problem database, and then safety risk evaluation is carried out on a power grid enterprise according to the performing problem and early warning data to generate an enterprise risk database.
Description
Technical Field
The invention relates to the technical field of power grid operation management, in particular to a safety responsibility system comprehensive evaluation system.
Background
At present, the safety responsibility system construction of many power grid enterprises is immature, and the problems of 'clear responsibility and difficulty in checking responsibility' are prominent. The reason for the clear responsibility is that the safety responsibility involves many working links, many personnel types and many unit levels, and related regulations are dispersed in hundreds of files, so that the efficient and accurate definition of the personal safety responsibility is difficult to realize. The responsibility examination is based on mass data, and a unified analysis model and a big data processing means are lacked at present. The current power grid enterprise is based on the clear responsibility and the responsibility checking means of the safety responsibility system through manual statistics and checking, time and labor are consumed, responsibility checking is insufficient, results are uncontrollable, and effective guidance is difficult to provide for safe and stable operation of the power grid enterprise. Therefore, the invention provides a safety responsibility comprehensive evaluation system which is used for providing an intelligent big data analysis platform for the official responsibility and the responsibility investigation of the safety responsibility, comprehensively analyzing safety responsibility and job performance data and realizing intelligent quantitative evaluation and early warning data output of individuals of power grid enterprises and all levels of the enterprises.
Disclosure of Invention
The invention provides a safety responsibility system comprehensive evaluation system which is used for providing an intelligent big data analysis platform for the clearness and responsibility investigation of a safety responsibility system, comprehensively analyzing safety responsibility and employment data, realizing intelligent quantitative evaluation and early warning data output of individuals and all levels of enterprises of a power grid enterprise, and avoiding the technical problems of time and labor consumption, insufficient responsibility investigation and uncontrollable result caused by manual clearness and responsibility investigation.
In view of this, the invention provides a safety responsibility system comprehensive evaluation system, which comprises a data acquisition module, a measurement standard module and a quantitative scoring module;
the data acquisition module is used for acquiring regulation and regulation files, safety responsibility books, operation instruction books, accident event reports, violation supervision files, work tickets, operation plans, human resource files, equipment asset files, patrol audit files, safety large inspection files and basic level performance files inside the power grid enterprise, and acquiring national law and regulation files, industry standard specification files and local law and regulation files;
the data acquisition module is also used for analyzing, analyzing and extracting the characteristics of the acquired file, and converting the extracted unstructured data and semi-structured data into structured data to form a safety duty basic database;
the system comprises a measurement standard module, a safety duty basic database, a preset weight calculation mode, a safety duty in-place measurement standard database and a safety duty in-place calculation standard database, wherein the measurement standard module is used for performing safety duty weight analysis based on the preset weight calculation mode according to the safety duty basic database to obtain each safety duty scoring weight, and calculating each standard score of safety duty in place according to each safety duty scoring weight to form the safety duty in-place measurement standard database;
the system comprises a quantitative scoring module, a quantitative evaluation module, a safety role database and a safety role in-place measuring standard database, wherein the quantitative scoring module is used for constructing a function state evaluation model, acquiring function data of power grid enterprise personnel, inputting the function data into the function state evaluation model to obtain function state quantitative data, screening function problem data according to the function state quantitative data and the safety role in-place measuring standard database, and generating a function problem database, wherein the input parameter of the function state evaluation model is function data, the function state evaluation model is used for matching safety role basic data according to the function data, quantitatively scoring is carried out on the function data according to a preset calculation formula, and the function state quantitative data is output;
the quantitative scoring module is also used for acquiring early warning data generated in the job performing process of the power grid enterprise personnel and generating a safety early warning database;
and the quantitative scoring module is also used for carrying out security risk assessment on the power grid enterprise according to the job-performing problem and the early warning data to generate an enterprise risk database.
Optionally, the metrics module dynamically configures an equation that calculates a standard score for each security role using a DOORS rules engine.
Optionally, the quantitative scoring module matches the job data of the power grid enterprise personnel with the safety duty basic data through three levels of tags, wherein the first level of the three levels of tags is a tag category, the second level of the three levels of tags is tag content, the third level of the three levels of tags is attribute of the tag content, and the matching rules of the three levels of tags require downward compatible matching and data full matching.
Optionally, the quantitative scoring module regards the quantitative data of the position of performing under the standard score as the position problem data, and labels the position problem data.
Optionally, the preset weight calculation method is an analytic hierarchy process.
Optionally, the preset weight calculation method is an entropy weight method.
Optionally, the preset weight calculation method is a combined weight analysis method combining an analytic hierarchy process and an entropy weight method.
Optionally, the system further comprises a data reporting module;
and the data report module is used for generating a personal data report and an enterprise data report for the safety early warning data, the position problem data and the enterprise risk data according to a preset report form.
Optionally, the system further comprises a rights management module;
and the authority management module is used for verifying the authority of the user for inquiring the personal report form and the enterprise report form, if the verification is passed, the personal report form and the enterprise report form are displayed to the user, otherwise, the user is not allowed to access the personal report form and the enterprise report form.
Optionally, the authority management module verifies the authority of the user for inquiring the personal report form and the enterprise report form in a short message mode.
According to the technical scheme, the comprehensive safety responsibility system evaluation system provided by the invention has the following advantages:
the comprehensive evaluation system for the safety responsibility system provided by the invention has the advantages that various safety responsibility system related files are collected through the data collection module, the files are analyzed and processed to form a safety responsibility basic database, the safety responsibility basic data are subjected to weight analysis through the standard evaluation module, the standard score of each safety responsibility in place is calculated to form a safety responsibility in-place standard evaluation database, the performing state of each performing operation condition is quantized through the quantitative score module to generate a performing problem database, then the safety risk evaluation is performed on the power grid enterprise according to the performing problem and the early warning data to generate an enterprise risk database, the intelligent quantitative evaluation and the early warning data output of the individual of the power grid enterprise and each level of the enterprise are realized, an intelligent large data analysis platform for the time consumption and the checking of the safety responsibility system is provided, the safety responsibility data are comprehensively analyzed, the intelligent quantitative evaluation and the early warning data output of the individual of the power grid enterprise and each level of the enterprise are realized, the time consumption caused by manual work of the responsibility system is avoided, the uncontrollable safety responsibility system is not fully, and the result of the technical problem of the responsibility is uncontrollable.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other related drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic structural diagram of a safety responsibility system comprehensive evaluation system provided in the present invention;
fig. 2 is a platform framework diagram of a safety responsibility system comprehensive evaluation system provided in the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
For easy understanding, please refer to fig. 1 and fig. 2, the present invention provides an embodiment of a safety responsibility system comprehensive evaluation system, which includes a data acquisition module, a metric module and a quantitative scoring module;
the data acquisition module is used for acquiring regulation and regulation files, safety responsibility books, operation guide books, accident event reports, violation supervision files, work tickets, operation plans, human resource files, equipment asset files, inspection audit files, safety big inspection files and basic level job files inside the power grid enterprise, and acquiring national law and regulation files, industry standard specification files and local law and regulation files;
the data acquisition module is also used for analyzing, analyzing and extracting the characteristics of the acquired file, and converting the extracted unstructured data and semi-structured data into structured data to form a safety duty basic database;
the system comprises a measurement standard module, a safety duty basic database, a preset weight calculation mode, a safety duty in-place measurement standard database and a safety duty in-place calculation standard database, wherein the measurement standard module is used for performing safety duty weight analysis based on the preset weight calculation mode according to the safety duty basic database to obtain each safety duty scoring weight, and calculating each standard score of safety duty in place according to each safety duty scoring weight to form the safety duty in-place measurement standard database;
the system comprises a quantitative scoring module, a quantitative evaluation module, a safety role database and a safety role in-place measuring standard database, wherein the quantitative scoring module is used for constructing a function state evaluation model, acquiring function data of power grid enterprise personnel, inputting the function data into the function state evaluation model to obtain function state quantitative data, screening function problem data according to the function state quantitative data and the safety role in-place measuring standard database, and generating a function problem database, wherein the input parameter of the function state evaluation model is function data, the function state evaluation model is used for matching safety role basic data according to the function data, quantitatively scoring is carried out on the function data according to a preset calculation formula, and the function state quantitative data is output;
the quantitative scoring module is also used for acquiring early warning data generated in the performing process of the power grid enterprise personnel and generating a safety early warning database;
and the quantitative scoring module is also used for carrying out security risk assessment on the power grid enterprise according to the job-performing problem and the early warning data to generate an enterprise risk database.
It should be noted that the data source acquired by the data acquisition module includes an internal data source and an external data source, the data of the internal data source includes regulatory documents, security responsibility, job instruction, accident event report, violation supervision document, job ticket, job plan, human resource document, equipment asset document, patrol audit document, security big inspection document and basic level performance document, and these data can be acquired from the power grid intelligent security supervision system, risk management and control system, production management system and related management system inside the power grid enterprise. The data of the external data source includes a national law and regulation document, an industry standard specification document and a local law and regulation document. The safety responsibility employment data relates to the employment traces of all positions, including structured data, unstructured data, and semi-structured data. Before quantitative evaluation is performed by using the employment data, feature extraction needs to be performed after the unstructured data and the semi-structured data are analyzed and converted. Among them, the raw data can be parsed and converted into structured data using an OCR (Optical Character Recognition) technique based on NLP (Natural Language Process). After the acquired files are analyzed, the data are analyzed and the characteristics are extracted, a safety duty list can be obtained, a safety duty basic database is formed, and basic data are provided for power grid enterprises to justify.
The standard weighing module is used for extracting safety duty standard information from a safety duty list in a safety duty basic database, analyzing and determining the weight of quantitative grading of each safety duty in the safety duty list, and calculating the standard grade of each safety duty in place according to the grading weight of each safety duty and a preset grade calculation formula to serve as the basis of the quantitative grading of the safety duty, namely, whether the job losing exists in the job process can be determined according to the standard grade of each safety duty in place. The calculation rules of the quantitative grading of the security responsibilities have the principles of specificity, dynamics and the like, and the preset grading calculation formula does not have a uniform standard, so that the calculation logic also needs to be adjusted frequently, therefore, the standard measurement module can use a DOORS rule engine to dynamically configure the standard grading formula for calculating the standard grading of each security responsibilities in place, and the grading rules of each entry in the security responsibilities list can be configured independently and modified in real time. The weight calculation method adopted for analyzing and determining the weight of quantitative scoring of each safety duty in the safety duty list can adopt an analytic hierarchy process or an entropy weight method, and can also adopt a combined weight analysis method combining the analytic hierarchy process and the entropy weight method.
And the quantitative scoring module is used for matching related job performance data based on the safety duty list and calculating the quantitative score of the job performance condition according to the scoring rule of the list. The method comprises the steps of firstly constructing a job performance state evaluation model for matching safety duty basic data according to job performance data, carrying out quantitative grading on the job performance data according to a preset calculation formula, outputting the job performance state evaluation model of the job performance state quantitative data, then obtaining the job performance data of power grid enterprise personnel, inputting the job performance data into the job performance state evaluation model, carrying out safety duty basic data matching on the input job performance data through the job performance state evaluation model, and then carrying out quantitative grading on the job performance data according to the preset grading calculation formula of each safety duty to obtain the job performance state quantitative data. For the matching mode of the job data and the safety responsibility basic data, matching can be carried out through three levels of labels, the first level in the three levels of labels is label category, the second level is label content, the third level is the attribute of the label content, and the matching rule of the three levels of labels requires downward compatible matching and data full matching. For example: one of the performance data in the safety duty list is labeled learning-safety production discussion-national policy, "learning" is label category, "safety production discussion" is specific learning content, and "national policy" is scope description of the learning content. And matching corresponding security duty items in the security duty list according to a third-level label matching rule, wherein the third-level label matching rule requires downward compatible matching (namely, a first-level label can match all second-level and third-level labels below the first-level label) and data full matching (namely, a label of matched data must be contained in the coverage range of a matched data label). For example, the employee is identified as 00001, wherein one piece of performance data is "study-safe production discussion-national policy", the corresponding safety duty matched in the safety duty basic database according to the third-level tag matching rule is the study-safe production discussion-national policy, the entry has a standard score of 8 for in-place safety duty, and the quantitative score of the performance data output by the performance state evaluation model is 7, so that the performance problem is considered to exist, the performance problem data can be labeled and put into the performance problem database, and basic data is provided for the responsibility investigation of the power grid enterprise.
When the job data is data with job problems, corresponding early warning data generated in the job performing process exists, so that the quantitative scoring module is further used for acquiring the early warning data generated by power grid enterprise personnel in the job performing process to form a safety early warning database and provide basic data for power grid enterprise responsibility checking.
The quantitative scoring module can also perform safety risk assessment on the power grid enterprise based on personnel position problem data, early warning data and other enterprise operation management data to generate an enterprise risk database and provide basic data for power grid enterprise responsibility investigation.
The comprehensive evaluation system for the safety responsibility system provided by the invention has the advantages that various safety responsibility system related files are collected through the data collection module, analysis and data processing are carried out on the various files to form a safety responsibility basic database, weight analysis is carried out on various safety responsibility basic data through the standard evaluation module, standard scores of the safety responsibility in place are calculated to form a safety responsibility in-place standard evaluation database, finally, the performing state quantification is carried out on various performing operation conditions through the quantitative score module to generate a performing problem database, then, safety risk evaluation is carried out on the power grid enterprise according to the performing problems and early warning data to generate an enterprise risk database, the intelligent quantitative evaluation and early warning data output of the individual and each level of the power grid enterprise are realized, an intelligent big data analysis platform is provided for the open-minded and checking of the safety responsibility system, the safety responsibility data are comprehensively analyzed, the intelligent quantitative evaluation and the early warning data output of the individual and each level of the enterprise are realized, the consumption caused by manual open-minded and the uncontrollable result is avoided.
The safety responsibility system comprehensive evaluation system in the embodiment of the invention has the basic functions of user and role management, organization and post management, menu management, log management and rule management. These are the basic management functions of the management system, and are not described herein again.
In one embodiment, the safety responsibility system comprehensive evaluation system provided by the invention further comprises a data reporting module, wherein the data reporting module is used for generating a personal data report and an enterprise data report for the safety early warning data, the employment problem data and the enterprise risk data according to a preset report form. The forms of the personal report and the enterprise report are realized by a report designer, and the time for generating the personal report and the enterprise report can be timed or untimed.
In one embodiment, in order to avoid leakage of internal data of the power grid enterprise, a permission management module can be further arranged in the safety responsibility comprehensive evaluation system, permission of a user for inquiring the personal report form and the enterprise report form is verified through the permission management module, if the permission of the user for inquiring the personal report form and the enterprise report form passes the verification, the personal report form and the enterprise report form are displayed to the user, otherwise, the user is not allowed to access the personal report form and the enterprise report form. The authority verification mode is preferably a face recognition mode, a short message mode or a fingerprint recognition mode, or a combination of any two or more of the three modes.
In one embodiment, in order to facilitate the user to save the report data and perform other processing such as data sharing on the report data, a report export module may be further disposed in the safety responsibility system comprehensive evaluation system, and the report export module may detect whether the user sends a report export request after displaying the personal report and the enterprise report to the user, and if so, export the personal report and/or the enterprise report in response to the report export request, that is, if the report export request is an export personal report request, the personal report is exported, and if the report export request is an export enterprise report request, the enterprise report is exported. When exporting the personal report and/or the enterprise report, the report is output in an excel format by default, or the report output format can be customized by a user.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A safety responsibility system comprehensive evaluation system is characterized by comprising a data acquisition module, a measurement standard module and a quantitative scoring module;
the data acquisition module is used for acquiring regulation and regulation files, safety responsibility books, operation guide books, accident event reports, violation supervision files, work tickets, operation plans, human resource files, equipment asset files, inspection audit files, safety big inspection files and basic level job files inside the power grid enterprise, and acquiring national law and regulation files, industry standard specification files and local law and regulation files;
the data acquisition module is also used for analyzing, analyzing and extracting the characteristics of the acquired file, and converting the extracted unstructured data and semi-structured data into structured data to form a safety duty basic database;
the system comprises a security duty basic database, a security duty in-place standard evaluation module and a security duty in-place standard evaluation module, wherein the security duty basic database is used for storing security duty data;
the system comprises a quantitative scoring module, a quantitative evaluation module, a safety role database and a safety role in-place measuring standard database, wherein the quantitative scoring module is used for constructing a function state evaluation model, acquiring function data of power grid enterprise personnel, inputting the function data into the function state evaluation model to obtain function state quantitative data, screening function problem data according to the function state quantitative data and the safety role in-place measuring standard database, and generating a function problem database, wherein the input parameter of the function state evaluation model is function data, the function state evaluation model is used for matching safety role basic data according to the function data, quantitatively scoring is carried out on the function data according to a preset calculation formula, and the function state quantitative data is output;
the quantitative scoring module is also used for acquiring early warning data generated in the performing process of the power grid enterprise personnel and generating a safety early warning database;
and the quantitative scoring module is also used for carrying out security risk assessment on the power grid enterprise according to the employment problems and the early warning data to generate an enterprise risk database.
2. The system of claim 1, wherein the metrics module dynamically configures the formula for calculating the criteria score for each security role using a DOORS rules engine.
3. The safety responsibility system comprehensive evaluation system according to claim 1, wherein the quantitative scoring module matches the job data of the power grid enterprise personnel with the safety responsibility basic data through three-level tags, wherein the first level of the three-level tags is a tag category, the second level of the three-level tags is a tag content, the third level of the three-level tags is an attribute of the tag content, and the matching rules of the three-level tags require downward compatible matching and data full matching.
4. The system of claim 1, wherein the quantitative rating module considers the quantitative data of the performance status below the standard rating as the performance question data and labels the performance question data.
5. The system of claim 1, wherein the predetermined weighting calculation is an analytic hierarchy process.
6. The system of claim 1, wherein the predetermined weight is calculated by an entropy method.
7. The system of claim 1, wherein the predetermined weight is calculated by a combination weight analysis method combining an analytic hierarchy process and an entropy weight method.
8. The safety responsibility system comprehensive evaluation system according to claim 1, further comprising a data reporting module;
and the data report module is used for generating a personal data report and an enterprise data report for the safety early warning data, the position problem data and the enterprise risk data according to a preset report form.
9. The system for comprehensive assessment of security responsibility according to claim 8, further comprising a rights management module;
and the authority management module is used for verifying the authority of the user for inquiring the personal report form and the enterprise report form, if the personal report form and the enterprise report form are verified, the personal report form and the enterprise report form are displayed to the user, otherwise, the user is not allowed to access the personal report form and the enterprise report form.
10. The system of claim 9, wherein the authority management module verifies the authority of the user to query the personal report form and the enterprise report form by short message.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116205496A (en) * | 2023-04-04 | 2023-06-02 | 广东远景信息科技有限公司 | Compliance risk management and control method, system, electronic equipment and storage medium |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116205496A (en) * | 2023-04-04 | 2023-06-02 | 广东远景信息科技有限公司 | Compliance risk management and control method, system, electronic equipment and storage medium |
| CN116205496B (en) * | 2023-04-04 | 2023-08-15 | 广东远景信息科技有限公司 | Compliance risk management and control method, system, electronic equipment and storage medium |
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