CN108805407B - Power grid engineering safety assessment system based on big data - Google Patents
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Abstract
The invention discloses a power grid engineering safety evaluation system based on big data, which comprises an engineering information management unit, a personnel management subsystem, an equipment management subsystem, a material management subsystem, an operation report subsystem, a production environment safety subsystem, a safety evaluation analysis unit and a risk pre-estimation early warning unit, wherein the personnel management subsystem is connected with the equipment management subsystem; data interfaces of the personnel management subsystem, the equipment management subsystem, the material management subsystem, the operation report subsystem and the production environment safety subsystem are all connected with the engineering information management unit and the safety evaluation analysis unit, and the safety evaluation analysis unit is connected with the data interface of the risk pre-estimation early warning unit; the invention improves the safety management level of the power grid project.
Description
Technical Field
The invention relates to the field of power grid management, in particular to a power grid engineering safety evaluation system based on big data.
Background
Although the safety standardization work has achieved a series of important results, the safety standardization specifications and requirements published by the state, the power industry and the national power grid company are mainly directed at construction and power supply enterprises, and are not completely suitable for power debugging units, the field work of the electric academy mainly refers to projects such as power grid engineering debugging and technical supervision, and compared with power grid infrastructure projects, the safety standardization specifications and requirements have the characteristics of the safety standardization specifications and requirements.
The traditional safety management mode, means and method cannot meet the requirements of electric power operation on safety, high-level, individuation and refinement, meanwhile, the safety management means of the existing power grid engineering project (such as extra-high voltage and a power grid in a Tibetan region) mostly depend on manual operation, intellectualization and informatization are not popularized yet, and a plurality of short boards exist in the management means. Therefore, the standardized management system of the engineering project suitable for the self business characteristics of the enterprise is formed by refining and performing targeted revision according to the standardized management requirements of the capital construction engineering project of the national network company, and the standard system has the customized control characteristics and also has the advanced 'internet +' to be introduced.
In order to solve the problems, the invention provides a power grid engineering safety evaluation system based on big data. The invention realizes the scientificity and foresight of work plan compilation of each department, can combine with bearing capacity analysis, and effectively put an end to the super-capacity operation; the management personnel at all levels can master the field operation condition at any time, and key management and control can be performed on the violation problems with universality and regularity; the method realizes the hierarchical implementation of differential management and control, optimizes the allocation of management resources at all levels, and realizes the omnibearing management and control of field safety operation.
Disclosure of Invention
In order to solve the problems, the invention provides a power grid engineering safety evaluation system based on big data.
Specifically, a grid engineering safety evaluation system based on big data includes: the system comprises an engineering information management unit, a personnel management subsystem, an equipment management subsystem, a material management subsystem, an operation report subsystem, a production environment safety subsystem, a safety evaluation and analysis unit and a risk pre-estimation early warning unit;
data interfaces of the personnel management subsystem, the equipment management subsystem, the material management subsystem, the operation report subsystem and the production environment safety subsystem are all connected with the engineering information management unit and the safety evaluation analysis unit, and the safety evaluation analysis unit is connected with the data interface of the risk pre-estimation early warning unit;
the project information management unit is used for establishing basic information of a project by combining a specific project according to a standardized management template and forming a corresponding project safety evaluation framework; the basic information comprises the steps of adding a project general, establishing a project ledger template, generating a report template and determining a safety index;
the personnel management subsystem is used for managing project personnel and evaluating the completion degree of personnel configuration; the system comprises personnel basic information and personnel certificate information;
the equipment management subsystem is used for equipment management of the project, and evaluating the integrity of project equipment and project loss caused by equipment failure; the system comprises an equipment basic database, an equipment importance evaluation module, an equipment fault probability analysis module and an equipment influence evaluation module;
the material management subsystem is used for material management of projects and evaluating the safety association degree of material quality to the projects; the system comprises a material basic database, a material importance evaluation module, a material potential safety hazard analysis module and a material influence degree evaluation module;
the operation report subsystem is used for standing book management of the project and evaluating the safety influence degree of the completeness of the standing book on the project; the method comprises the steps of managing account records, operation log records and project archive records; the system also comprises a completeness evaluation module for the management ledger records, the operation log records and the engineering archive records, and a relevance influence analysis module;
the production environment safety subsystem is used for the production environment management of the project and the evaluation of the production environment and the safety influence of the project; the system comprises an environmental safety hidden danger evaluation module, a hidden danger risk evaluation module and a risk influence coefficient;
the safety evaluation analysis unit is used for evaluating the safety condition of the current project from dimensionality evaluation and sequencing the safety short boards of the current project so as to facilitate the user to carry out targeted processing;
the risk pre-estimation early warning unit is used for pre-estimating the safety of the current engineering project by combining the current safety evaluation data and the historical safety data and reminding possible potential safety hazards.
Preferably, the engineering information management unit is divided into large projects, medium projects and distributed operations according to the engineering scale and the management difficulty according to a standardized management template; the large-scale project, the medium-scale project and the distributed operation all comprise project personnel, related specialties, work periods and work tasks.
Preferably, the personnel management subsystem further comprises personnel qualification information, personnel position information, personnel work information and certificate validity period.
Preferably, the device basic database in the device management subsystem is used for storing and maintaining basic information of the device; the equipment importance degree evaluation module is used for evaluating the importance degree of the equipment and giving a weight to the equipment; the equipment fault probability analysis module is used for evaluating the fault probability of the equipment by combining historical data; and the equipment influence degree evaluation module is used for evaluating the influence of equipment faults on engineering safety.
Preferably, the material basic database in the material management subsystem is used for storing and maintaining basic information of materials; the material importance degree evaluation module is used for evaluating the importance degree of the material and giving weight to the material; the material potential safety hazard analysis is used for evaluating the safety probability possibly caused by the material by combining historical data; and the material influence degree evaluation module is used for evaluating the influence of the material potential safety hazard on engineering safety.
Preferably, the completeness evaluation module of the job reporting subsystem comprises a manual evaluation and an automatic evaluation; the manual evaluation is used for evaluating the quality of the job report by a manager; the automatic evaluation is to compare the deviation between the job report feedback value and a preset standard value for determination.
Preferably, the production environment safety subsystem adopts a method of combining an image recognition system and a manual reporting system; the image recognition system comprises a field environment image acquisition unit, an image processing unit and an image sending unit which are sequentially connected; the manual reporting system comprises a mobile terminal and a special transmission system; the environment potential safety hazard evaluation module is used for summarizing the potential hazards in the production environment collected by the image recognition system and the manual reporting system and identifying the importance weight of the potential hazards; the hidden danger risk assessment module is used for assessing the occurrence probability of the hidden danger by combining historical data; and the risk influence coefficient is used for evaluating the influence of the hidden danger on the engineering safety.
Preferably, the security assessment analysis unit comprises a data interface unit, a calculation analysis unit, a storage unit, a history database and a result database; the safety evaluation system is used for summarizing the safety evaluation results of the personnel management subsystem, the equipment management subsystem, the material management subsystem, the operation report subsystem and the production environment safety subsystem and carrying out comprehensive analysis; updating historical data according to the analysis result; the comprehensive analysis comprises the following steps:
s1, calculating the difference between the safety assessment score and the standard value of the safety project, sorting, and giving a sorting weight according to the sorting result;
s2, extracting the characteristic words of the security items, and calculating the occurrence frequency of the characteristic words in a historical database;
s3, multiplying the sorting weight by the appearance frequency to obtain a safety deviation value, and sorting;
s4, according to the sequencing result in S3, the safe item is sequenced and displayed;
s5: and adding the characteristic words with the safety deviation values larger than the updating threshold value into the historical database according to the set updating threshold value.
Preferably, the risk pre-estimation early warning unit is used for displaying the evaluation result of the safety evaluation analysis unit, outputting the comprehensive safety evaluation value of the engineering project, displaying the safety evaluation score in the safety project, and reminding one or more items with the maximum safety deviation value.
Preferably, the system further comprises a project emergency plan unit connected with the data interface of the risk pre-estimation early warning unit; a project emergency plan used for adding suggestions after the risk projects behind the risk pre-estimation early warning unit; the project emergency plan unit comprises one or more of a human casualty event site disposal scheme, a geological disaster site disposal scheme, a flood disaster site disposal scheme, a traffic accident site disposal scheme, an electric shock accident site disposal scheme, a food poisoning event site disposal scheme, an acute infectious disease event site disposal scheme and an important instrument and equipment damage event site disposal scheme.
The invention has the beneficial effects that:
1. the scientificity and the foresight of work plan compilation of each department are realized, and the bearing capacity analysis can be combined, so that the over-capacity operation is effectively avoided;
2. the management personnel at all levels can master the field operation condition at any time, and key management and control can be performed on the violation problems with universality and regularity;
3. the method realizes the hierarchical implementation of differential management and control, optimizes the allocation of management resources at all levels, and realizes the omnibearing management and control of field safety operation.
Drawings
FIG. 1 is a system diagram of the present invention.
Detailed Description
In order to more clearly understand the technical features, objects, and effects of the present invention, embodiments of the present invention will now be described with reference to the accompanying drawings.
Specifically, a grid engineering safety evaluation system based on big data includes: the system comprises an engineering information management unit, a personnel management subsystem, an equipment management subsystem, a material management subsystem, an operation report subsystem, a production environment safety subsystem, a safety evaluation and analysis unit and a risk pre-estimation early warning unit;
data interfaces of the personnel management subsystem, the equipment management subsystem, the material management subsystem, the operation report subsystem and the production environment safety subsystem are all connected with the engineering information management unit and the safety evaluation analysis unit, and the safety evaluation analysis unit is connected with the data interface of the risk pre-estimation early warning unit;
the project information management unit is used for establishing basic information of a project by combining a specific project according to a standardized management template and forming a corresponding project safety evaluation framework; the basic information comprises the steps of adding a project general, establishing a project ledger template, generating a report template and determining a safety index;
the personnel management subsystem is used for managing project personnel and evaluating the completion degree of personnel configuration; the system comprises personnel basic information and personnel certificate information;
the equipment management subsystem is used for equipment management of the project, and evaluating the integrity of project equipment and project loss caused by equipment failure; the system comprises an equipment basic database, an equipment importance evaluation module, an equipment fault probability analysis module and an equipment influence evaluation module;
the material management subsystem is used for material management of projects and evaluating the safety association degree of material quality to the projects; the system comprises a material basic database, a material importance evaluation module, a material potential safety hazard analysis module and a material influence degree evaluation module;
the operation report subsystem is used for standing book management of the project and evaluating the safety influence degree of the completeness of the standing book on the project; the method comprises the steps of managing account records, operation log records and project archive records; the system also comprises a completeness evaluation module for the management ledger records, the operation log records and the engineering archive records, and a relevance influence analysis module;
the production environment safety subsystem is used for the production environment management of the project and the evaluation of the production environment and the safety influence of the project; the system comprises an environmental safety hidden danger evaluation module, a hidden danger risk evaluation module and a risk influence coefficient;
the safety evaluation analysis unit is used for evaluating the safety condition of the current project from dimensionality evaluation and sequencing the safety short boards of the current project so as to facilitate the user to carry out targeted processing;
the risk pre-estimation early warning unit is used for pre-estimating the safety of the current engineering project by combining the current safety evaluation data and the historical safety data and reminding possible potential safety hazards.
In a preferred embodiment, the project information management unit is divided into large projects, medium projects and distributed operations according to the project scale and the management difficulty according to a standardized management template; the large-scale project, the medium-scale project and the distributed operation all comprise project personnel, related specialties, work periods and work tasks.
As a preferred implementation manner, the staff management subsystem further includes staff qualification information, staff position information, staff work information, and certificate validity period.
As a preferred embodiment, the device base database in the device management subsystem is used for storing and maintaining the base information of the device; the equipment importance degree evaluation module is used for evaluating the importance degree of the equipment and giving a weight to the equipment; the equipment fault probability analysis module is used for evaluating the fault probability of the equipment by combining historical data; and the equipment influence degree evaluation module is used for evaluating the influence of equipment faults on engineering safety.
As a preferred embodiment, the material basic database in the material management subsystem is used for storing and maintaining basic information of materials; the material importance degree evaluation module is used for evaluating the importance degree of the material and giving weight to the material; the material potential safety hazard analysis is used for evaluating the safety probability possibly caused by the material by combining historical data; and the material influence degree evaluation module is used for evaluating the influence of the material potential safety hazard on engineering safety.
In a preferred embodiment, the completeness evaluation module of the job reporting subsystem comprises a manual evaluation and an automatic evaluation; the manual evaluation is used for evaluating the quality of the job report by a manager; the automatic evaluation is to compare the deviation between the job report feedback value and a preset standard value for determination.
In a preferred embodiment, the production environment security subsystem adopts a method of combining an image recognition system and a manual reporting system; the image recognition system comprises a field environment image acquisition unit, an image processing unit and an image sending unit which are sequentially connected; the manual reporting system comprises a mobile terminal and a special transmission system; the environment potential safety hazard evaluation module is used for summarizing the potential hazards in the production environment collected by the image recognition system and the manual reporting system and identifying the importance weight of the potential hazards; the hidden danger risk assessment module is used for assessing the occurrence probability of the hidden danger by combining historical data; and the risk influence coefficient is used for evaluating the influence of the hidden danger on the engineering safety.
As a preferred embodiment, the security assessment analysis unit comprises a data interface unit, a calculation analysis unit, a storage unit, a history database and a result database; the safety evaluation system is used for summarizing the safety evaluation results of the personnel management subsystem, the equipment management subsystem, the material management subsystem, the operation report subsystem and the production environment safety subsystem and carrying out comprehensive analysis; updating historical data according to the analysis result; the comprehensive analysis comprises the following steps:
s1, calculating the difference between the safety assessment score and the standard value of the safety project, sorting, and giving a sorting weight according to the sorting result;
s2, extracting the characteristic words of the security items, and calculating the occurrence frequency of the characteristic words in a historical database;
s3, multiplying the sorting weight by the appearance frequency to obtain a safety deviation value, and sorting;
s4, according to the sequencing result in S3, the safe item is sequenced and displayed;
s5: and adding the characteristic words with the safety deviation values larger than the updating threshold value into the historical database according to the set updating threshold value.
As a preferred embodiment, the risk pre-estimation early warning unit is configured to display the evaluation result of the safety evaluation analysis unit, output a comprehensive safety evaluation value of the engineering project, display a safety evaluation score in the safety project, and remind one or more items with the largest safety deviation value.
As a preferred embodiment, the system further comprises a project emergency plan unit connected with the data interface of the risk pre-estimation early warning unit; a project emergency plan used for adding suggestions after the risk projects behind the risk pre-estimation early warning unit; the project emergency plan unit comprises one or more of a human casualty event site disposal scheme, a geological disaster site disposal scheme, a flood disaster site disposal scheme, a traffic accident site disposal scheme, an electric shock accident site disposal scheme, a food poisoning event site disposal scheme, an acute infectious disease event site disposal scheme and an important instrument and equipment damage event site disposal scheme.
It should be noted that, for simplicity of description, the above-mentioned embodiments of the method are described as a series of acts or combinations, but those skilled in the art should understand that the present application is not limited by the order of acts described, as some steps may be performed in other orders or simultaneously according to the present application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and elements referred to are not necessarily required in this application.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a ROM, a RAM, etc.
The above disclosure is only for the purpose of illustrating the preferred embodiments of the present invention, and it is therefore to be understood that the invention is not limited by the scope of the appended claims.
Claims (10)
1. A power grid engineering safety evaluation system based on big data is characterized by comprising an engineering information management unit, a personnel management subsystem, an equipment management subsystem, a material management subsystem, an operation report subsystem, a production environment safety subsystem, a safety evaluation analysis unit and a risk pre-estimation early warning unit;
data interfaces of the personnel management subsystem, the equipment management subsystem, the material management subsystem, the operation report subsystem and the production environment safety subsystem are all connected with the engineering information management unit and the safety evaluation analysis unit, and the safety evaluation analysis unit is connected with the data interface of the risk pre-estimation early warning unit;
the project information management unit is used for establishing basic information of a project by combining a specific project according to a standardized management template and forming a corresponding project safety evaluation framework; the basic information comprises the steps of increasing project general profiles, establishing project ledger templates, generating report templates and determining safety indexes;
the personnel management subsystem is used for managing project personnel and evaluating the completion degree of personnel configuration; the system comprises personnel basic information and personnel certificate information;
the equipment management subsystem is used for equipment management of the project, and evaluating the integrity of project equipment and project loss caused by equipment failure; the system comprises an equipment basic database, an equipment importance evaluation module, an equipment fault probability analysis module and an equipment influence evaluation module;
the material management subsystem is used for material management of projects and evaluating the safety association degree of material quality to the projects; the system comprises a material basic database, a material importance evaluation module, a material potential safety hazard analysis module and a material influence degree evaluation module;
the operation report subsystem is used for standing book management of the project and evaluating the safety influence degree of the completeness of the standing book on the project; the method comprises the steps of managing account records, operation log records and project archive records; the system also comprises a completeness evaluation module for the management ledger records, the operation log records and the engineering archive records, and a relevance influence analysis module;
the production environment safety subsystem is used for the production environment management of the project and the evaluation of the production environment and the safety influence of the project; the system comprises an environmental safety hidden danger evaluation module, a hidden danger risk evaluation module and a risk influence coefficient;
the safety evaluation analysis unit is used for evaluating the safety condition of the current project from dimensionality evaluation and sequencing the safety short boards of the current project so as to facilitate the user to carry out targeted processing;
the risk pre-estimation early warning unit is used for pre-estimating the safety of the current engineering project by combining the current safety evaluation data and the historical safety data and reminding possible potential safety hazards.
2. A big data-based power grid engineering safety evaluation system according to claim 1, wherein the engineering information management unit is divided into large-scale projects, medium-scale projects and distributed operations according to engineering scale and management difficulty according to a standardized management template; the large-scale project, the medium-scale project and the distributed operation all comprise project personnel, related specialties, work periods and work tasks.
3. The big data based grid engineering safety evaluation system according to claim 1, wherein the personnel management subsystem further comprises personnel qualification information, personnel position information, personnel work information and certificate validity period.
4. The big data-based power grid engineering safety evaluation system according to claim 1, wherein a device basic database in the device management subsystem is used for storing and maintaining basic information of devices; the equipment importance degree evaluation module is used for evaluating the importance degree of the equipment and giving a weight to the equipment; the equipment fault probability analysis module is used for evaluating the fault probability of the equipment by combining historical data; and the equipment influence degree evaluation module is used for evaluating the influence of equipment faults on engineering safety.
5. A big data-based grid engineering safety evaluation system according to claim 1, wherein the material basis database in the material management subsystem is used for storing and maintaining the basis information of the material; the material importance degree evaluation module is used for evaluating the importance degree of the material and giving weight to the material; the material potential safety hazard analysis is used for evaluating the safety probability possibly caused by the material by combining historical data; and the material influence degree evaluation module is used for evaluating the influence of the material potential safety hazard on engineering safety.
6. The big data-based power grid engineering safety evaluation system according to claim 1, wherein the completeness evaluation module of the operation reporting subsystem comprises a manual evaluation and an automatic evaluation; the manual evaluation is used for evaluating the quality of the job report by a manager; the automatic evaluation is to compare the deviation between the job report feedback value and a preset standard value for determination.
7. The big data-based power grid engineering safety evaluation system according to claim 1, wherein the production environment safety subsystem adopts a method of combining an image recognition system and a manual reporting system; the image recognition system comprises a field environment image acquisition unit, an image processing unit and an image sending unit which are sequentially connected; the manual reporting system comprises a mobile terminal and a special transmission system; the environment potential safety hazard evaluation module is used for summarizing the potential hazards in the production environment collected by the image recognition system and the manual reporting system and identifying the importance weight of the potential hazards; the hidden danger risk assessment module is used for assessing the occurrence probability of the hidden danger by combining historical data; and the risk influence coefficient is used for evaluating the influence of the hidden danger on the engineering safety.
8. The big data-based power grid engineering safety evaluation system according to claim 1, wherein the safety evaluation analysis unit comprises a data interface unit, a calculation analysis unit, a storage unit, a history database and a result database; the safety evaluation system is used for summarizing the safety evaluation results of the personnel management subsystem, the equipment management subsystem, the material management subsystem, the operation report subsystem and the production environment safety subsystem and carrying out comprehensive analysis; updating historical data according to the analysis result; the comprehensive analysis comprises the following steps:
s1, calculating the difference between the safety assessment score and the standard value of the safety project, sorting, and giving a sorting weight according to the sorting result;
s2, extracting the characteristic words of the security items, and calculating the occurrence frequency of the characteristic words in a historical database;
s3, multiplying the sorting weight by the appearance frequency to obtain a safety deviation value, and sorting;
s4, according to the sequencing result in S3, the safe item is sequenced and displayed;
s5: and adding the characteristic words with the safety deviation values larger than the updating threshold value into the historical database according to the set updating threshold value.
9. The grid engineering safety evaluation system based on big data as claimed in claim 1, wherein the risk pre-estimation early warning unit is configured to display the evaluation result of the safety evaluation analysis unit, output the comprehensive safety evaluation value of the engineering project, display the safety evaluation score in the safety project, and remind one or more items with the maximum safety deviation value.
10. The big data-based power grid engineering safety evaluation system according to claim 1, further comprising a project emergency plan unit connected to the risk pre-estimation and pre-warning unit data interface; a project emergency plan used for adding suggestions after the risk projects behind the risk pre-estimation early warning unit; the project emergency plan unit comprises one or more of a human casualty event site disposal scheme, a geological disaster site disposal scheme, a flood disaster site disposal scheme, a traffic accident site disposal scheme, an electric shock accident site disposal scheme, a food poisoning event site disposal scheme, an acute infectious disease event site disposal scheme and an important instrument and equipment damage event site disposal scheme.
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| CN111062650A (en) * | 2020-01-19 | 2020-04-24 | 国网河南省电力公司信息通信公司 | Big data-based power grid safety management information system |
| CN111768098A (en) * | 2020-06-28 | 2020-10-13 | 湖北省科技传媒有限责任公司 | Innovation evaluation monitoring system and evaluation method thereof |
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