CN111160789A - Intelligent whole-person safety production responsibility management system - Google Patents
Intelligent whole-person safety production responsibility management system Download PDFInfo
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- CN111160789A CN111160789A CN201911408320.XA CN201911408320A CN111160789A CN 111160789 A CN111160789 A CN 111160789A CN 201911408320 A CN201911408320 A CN 201911408320A CN 111160789 A CN111160789 A CN 111160789A
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Abstract
The invention discloses an intelligent whole-member safety production responsibility management system, which is based on a private cloud platform and a big data center and comprises the following components: the system comprises a safety production resource library, a post data warehouse, a safety production training public module, a safety quality capability training module, a training course matrix statistic module, a platform operation examination module and an intelligent pushing module; according to the invention, by constructing an enterprise production system intrinsic safety management system, data such as safety responsibility, production technology, system rules, laws and regulations, frontier technology, accident cases, report assessment, risk pre-control, acknowledgement, intelligent training and the like are sorted, integrated, analyzed and issued through a comprehensive big data management platform, and are intelligently pushed to each staff of each level and each post of an enterprise, so that the whole safety production responsibility is practically put into place, and the enterprise safety risk is effectively controlled.
Description
Technical Field
The invention relates to a system for standardizing the whole-person safe production responsibility, which is used for constructing an enterprise-level systematic, standardized, digitalized and intelligentized whole-person safe production responsibility system.
Background
With the rapid development of economic scale and scientific technology, various contradictions in the safe production process are increasingly prominent, the requirements of the masses on safe development are increasingly strengthened, the safety problem is the first problem of production and life, although the system is continuously perfect and the overall safety factor is continuously improved, the situation of safe production in China is still severe, and a plurality of problems to be solved exist, which directly or indirectly influence the realization of the whole national economic sustainability and modernization development targets.
At present, a management system for the whole-worker safety production responsibility is blank, and a management system integrating safety responsibility, production technology, system rules, laws and regulations, frontier technology, accident cases, report assessment, risk pre-control, informed response and intelligent training is lacked.
Disclosure of Invention
Aiming at the technical defects, the invention aims to provide an intelligent management system for the whole-person safety production responsibility, and the system can be used for combing, integrating, analyzing and issuing data such as safety responsibility, production technology, system rules, laws and regulations, frontier technology, accident cases, report assessment, risk pre-control, acknowledgement, intelligent training and the like through a comprehensive big data management platform by constructing an enterprise production system intrinsic safety management system, and intelligently pushing the data to each staff of each level and each post of an enterprise, so that the whole-person safety production responsibility can be practically put into place, and the enterprise safety risk can be effectively controlled.
In order to solve the technical problems, the invention adopts the following technical scheme:
the invention provides an intelligent management system for the whole-person safety production responsibility system, which is based on a private cloud platform and a big data center, wherein the private cloud platform is in communication connection with the big data center, and comprises the following steps:
standardizing a whole-person safe production responsibility system, and constructing an enterprise-level whole-person safe production responsibility system with systematization, standardization, digitization and intellectualization;
the safety production resource library provides a tool for constructing and maintaining services for a post safety standard data warehouse, and provides a tool and application support for post description, semantic analysis and processing, semantic mining and intelligent search;
the post data warehouse is used for providing various retrieval functions, realizing the quick and accurate search of keywords, and assisting a platform user in determining the safety production responsibility to be borne by the post and acquiring, learning and improving safety production related documents;
the safety production training bulletin module is used for realizing dynamic bulletin of the safety production learning condition of the staff, updating the ranking and the progress in real time and supporting the export of current data so as to provide archiving and auxiliary decision-making;
the safety quality ability training module is used for providing a learning training platform for self-help learning for staff safety learning and safety responsibility business training, and can be used for constructing applications such as public classes, synchronous classrooms, examination systems, micro-courses and live classrooms;
the training course matrix counting module combines the employee types and various safety courses according to the fusion of all recorded data of the private cloud platform and the data of the existing training platform of a company, completes the employee course counting matrix table of various categories of each year in history, and visually embodies the systematicness and continuity of the safety training of the current platform;
the platform operation assessment module adopts an integral mode for operation and provides an assessment mechanism, a knowledge association module, a portal module and a knowledge retrieval module;
and the intelligent pushing module is used for providing safe production knowledge pushing and training course pushing.
Preferably, the assessment mechanism is: according to the post list, according to the responsibility category, the examination items, the examination standard, the scores which should be scored, the deduction scores and the automatic scores, the statistics of the examination scores is completed, the rectification opinions are pushed to the examined person, and the two parties sign and confirm the examination scores on line.
Preferably, the knowledge association module comprises a knowledge network and a topic network, provides multi-dimensional full-text indexing, feature vector generation and content association mining functions, and can establish association relations among various knowledge items and construct a mesh knowledge graph through natural language processing and data mining analysis.
Preferably, the portal module comprises an enterprise safety production responsibility system platform portal and provides functional modules of a componentized safety knowledge structure tree, unified search, informed meeting recommendation, safety knowledge push, assessment result announcement and the like.
Preferably, the knowledge retrieval module is used for providing knowledge navigation, unified retrieval, similar retrieval and intelligent retrieval.
Preferably, the private cloud platform includes a disk matrix, a virtual tape library, a fiber switch, a plurality of X86 rack servers, server virtualization software, and a virtual machine, where the X86 rack servers are respectively connected to a local area network, the disk matrix, and the virtual tape library through the fiber switch, the virtual machine is connected to the X86 rack server, and the server virtualization software is embedded in the virtual machine.
Preferably, the big data center stores safety production regulation and regulation, a training and examination database, safety production results, post standard data, safety production and accident cases and a safety knowledge database.
The invention has the beneficial effects that: by constructing an enterprise production system intrinsic safety management system, data such as safety responsibility, production technology, system regulations, laws and regulations, frontier technology, accident cases, report assessment, risk pre-control, acknowledgement, intelligent training and the like are sorted, integrated, analyzed and issued through a comprehensive big data management platform, and are intelligently pushed to each staff of each level and each post of an enterprise, so that the whole safety production responsibility is practically put into place, and the enterprise safety risk is effectively controlled.
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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 drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a block diagram of an intelligent whole worker safety production responsibility management system according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a private cloud platform.
Detailed Description
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.
An intelligent whole-member safety production responsibility management system is based on a private cloud platform and a big data center, wherein the private cloud platform is in communication connection with the big data center, and referring to fig. 2, the private cloud platform comprises a disk matrix, a virtual tape library, an optical fiber switch, a plurality of X86 rack-mounted servers, server virtualization software and virtual machines, the X86 rack-mounted servers are respectively connected with a local area network, the disk matrix and the virtual tape library through the optical fiber switch, the virtual machines are connected with the X86 rack-mounted servers, and the server virtualization software is arranged in the virtual machines; the big data center stores safety production rules and regulations, a training examination database, safety production achievements, post standard data, safety production and accident cases and a safety knowledge database.
Referring to fig. 1, the intelligent whole-member safety production responsibility management system comprises:
the system comprises a safety production resource library, a tool for constructing and maintaining services for a post safety standard data warehouse, a professional list and a point list of an enterprise safety production responsibility system platform are constructed from post basic information, post risk points, post responsibility, post safety responsibility, production technology, institutional rules, laws and regulations, frontier technology, accident cases, report assessment, risk pre-control, informed parties, intelligent training and the like, and tools and application support are provided for post description, semantic analysis processing, semantic mining and intelligent search;
the post data warehouse is used for providing various retrieval functions, realizing quick and accurate search of keywords, assisting a platform user in determining the safety production responsibility which the post is supposed to bear and acquiring, learning and improving safety production related documents, and promoting the improvement of staff safety responsibility consciousness by building a standard enterprise safety production knowledge database;
the safety production training and publicizing module can continuously stimulate the enthusiasm and the initiative of the whole staff participating in the safety production work to form a good safety culture atmosphere, and as an optional embodiment, the module supports multi-dimensional statistics including time dimension, department dimension and the like, is used for realizing dynamic publicity of the staff safety production and learning condition, updating the ranking and the progress in real time, and supports the derivation of current data to provide archiving and auxiliary decision-making;
the safety quality ability training module is used for providing a learning training platform for self-help learning for staff safety learning and safety responsibility business training, and can be used for constructing applications such as public classes, synchronous classrooms, examination systems, micro-courses and live classrooms; in other alternative embodiments, the system can provide a standardized online learning function module according to the post security quality capability model, and a user can flexibly configure the system according to the needs of the user.
The training course matrix counting module combines the employee types and various safety courses according to the fusion of all recorded data of the private cloud platform and the data of the existing training platform of a company, completes the employee course counting matrix table of various categories of each year in history, and visually embodies the systematicness and continuity of the safety training of the current platform;
the platform operation assessment module adopts an integral mode for operation and provides an assessment mechanism, a knowledge association module, a portal module and a knowledge retrieval module; the staff completes daily study, daily check and daily meeting, or interacts with a private cloud platform, such as answers to questions, is adopted as an optimal answer and the like, and acquires corresponding points according to the point calculation rule, so that the important role of the points in the whole operation and assessment process is reflected; the enthusiasm and the initiative of all the personnel participating in the safe production work are continuously stimulated by combining a safe quality capability training module, a safe production training bulletin module and an assessment mechanism, so that a good safe culture atmosphere is formed;
specifically, the assessment mechanism is as follows: according to the position list, according to the responsibility category, the assessment items, the assessment standard, the receivable score, the deduction score and the automatic completion score, the statistics of the assessment results is completed, the rectification opinions are pushed to the assessed person, both sides sign and confirm the assessment results, and the assessment results support the multidimensional statistics, export and archiving of personnel, department, year, result ranking and the like;
the knowledge association module comprises: the method comprises the steps of providing multi-dimensional full-text indexing, feature vector generation and content association mining functions, establishing association relations among various knowledge items through natural language processing and data mining analysis, constructing a meshed knowledge graph, a knowledge network and a topic network, providing the multi-dimensional full-text indexing, feature vector generation and content association mining functions, establishing association relations among various knowledge items through natural language processing and data mining analysis, and constructing the meshed knowledge graph;
the portal module comprises an enterprise safety production responsibility system platform portal and functional modules for providing a componentized safety knowledge structure tree, unified search, informed meeting recommendation, safety knowledge push, assessment result announcement and the like; the method realizes the personalized portal data display of different safety posts and different users on the same post, and meets the intelligent pushing display of the scene-oriented dynamically matched safety production data.
The knowledge retrieval module can realize efficient retrieval and rapid sequencing on massive knowledge resources, and aims to quickly and accurately find the desired knowledge for providing knowledge navigation, unified retrieval, similar retrieval and intelligent retrieval.
The intelligent pushing module is used for establishing user portrait according to multiple dimensions of basic attributes, post lists, assessment indexes, integrals, risk analysis and behavior logs of enterprise personnel, comprehensively describing user characteristics and pushing in a head-to-head manner, and comprises
Safe production knowledge pushing: based on a user portrait and a multi-dimensional knowledge tag system, automatic pushing of internal and external knowledge based on feed information flow is realized according to a work position list, position risks, use scenes of the user and historical records of knowledge retrieval, browsing, reading, downloading and collection. When a user logs in the system or related new knowledge is released, the information is automatically pushed to the user, the processing operation of the user on the pushed knowledge is tracked, and the interested and ignored knowledge is fed back to the recommendation system for improving the personal recommendation model of the user, so that the information is dynamically updated and maintained;
training course pushing is carried out, according to the post safety responsibility, the informed meeting and the expanded knowledge of the enterprise staff, examination results, learning courses, examination indexes and the like are combined, a private cloud platform training and examination data warehouse is dynamically matched, and intelligent pushing of relevant courses is achieved.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (7)
1. Intelligent complete staff safety production responsibility system management system, based on private cloud platform and big data center, private cloud platform and big data center communication connection, its characterized in that includes:
standardizing a whole-person safe production responsibility management system;
the system comprises a safety production resource library, a database management system and a database management system, wherein the safety production resource library provides a tool for constructing and maintaining a service facing a post safety responsibility standard data warehouse, and provides a tool and an application support for post description, semantic analysis and processing, semantic mining and intelligent search;
the post data warehouse is used for providing various retrieval functions, realizing the quick and accurate search of keywords, and assisting a platform user in determining the safety production responsibility to be borne by the post and acquiring, learning and improving safety production related documents;
the safety production training bulletin module is used for realizing dynamic bulletin of the safety production learning condition of the staff, updating the ranking and the progress in real time and supporting the export of current data so as to provide archiving and auxiliary decision-making;
the safety quality ability training module is used for providing a learning training platform for self-help learning for staff safety learning and safety responsibility business training, and can be used for constructing applications such as public classes, synchronous classrooms, examination systems, micro-courses and live classrooms;
the training course matrix counting module combines the employee types and various safety courses according to the fusion of all recorded data of the private cloud platform and the data of the existing training platform of a company, completes the employee course counting matrix table of various categories of each year in history, and visually embodies the systematicness and continuity of the safety training of the current platform;
the platform operation assessment module adopts an integral mode for operation and provides an assessment mechanism, a knowledge association module, a portal module and a knowledge retrieval module;
and the intelligent pushing module is used for providing safe production knowledge pushing and training course pushing.
2. The intelligent whole-member safety production responsibility management system according to claim 1, wherein the assessment mechanism is: according to the post list, according to the responsibility category, the examination items, the examination standard, the scores which should be scored, the deduction scores and the automatic scores, the statistics of the examination scores is completed, the rectification opinions are pushed to the examined person, and the two parties sign and confirm the examination scores on line.
3. The intelligent whole-member safety production responsibility management system according to claim 1, wherein the knowledge association module comprises a knowledge network and a topic network, provides multi-dimensional full-text indexing, feature vector generation and content association mining functions, and can establish association relations among various knowledge items through natural language processing and data mining analysis to construct a meshed knowledge graph.
4. The intelligent whole employee safety production responsibility management system according to claim 1, wherein the portal module comprises an enterprise safety production responsibility platform portal, and functional modules for providing a componentized safety knowledge structure tree, unified search, informed meeting recommendation, safety knowledge push, assessment result public notice and the like.
5. The intelligent whole employee safety production responsibility management system of claim 1, wherein the knowledge retrieval module is configured to provide knowledge navigation, unified retrieval, similarity retrieval, and intelligent retrieval.
6. The intelligent whole-person safety production responsibility management system of claim 1, wherein the private cloud platform comprises a disk matrix, a virtual tape library, a fiber switch, a plurality of X86 rack servers, server virtualization software and a virtual machine, the X86 rack servers are respectively connected with a local area network, the disk matrix and the virtual tape library through the fiber switch, the virtual machine is connected with the X86 rack server, and the server virtualization software is built in the virtual machine.
7. The intelligent whole-person safety production responsibility management system according to claim 1, wherein the big data center stores safety production regulations, a training exam database, safety production results, post responsibility standard data, safety production and accident cases, and a safety knowledge database.
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| CN111985829A (en) * | 2020-08-27 | 2020-11-24 | 河南工学院 | Enterprise management training system |
| CN114372731A (en) * | 2022-03-21 | 2022-04-19 | 成都明途科技有限公司 | Post target making method, device, equipment and storage medium based on big data |
| CN114898612A (en) * | 2022-05-06 | 2022-08-12 | 广东博深咨询有限公司 | Intelligent safety education system |
| CN115065500A (en) * | 2022-04-25 | 2022-09-16 | 中国南方电网有限责任公司 | Safety information management platform and method |
| CN117009589A (en) * | 2023-08-03 | 2023-11-07 | 上海南洋宏优智能科技有限公司 | Security check management method and system based on multi-mode intelligent service |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111985829A (en) * | 2020-08-27 | 2020-11-24 | 河南工学院 | Enterprise management training system |
| CN114372731A (en) * | 2022-03-21 | 2022-04-19 | 成都明途科技有限公司 | Post target making method, device, equipment and storage medium based on big data |
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