CN113449959A - Mine personnel behavior governance system and platform - Google Patents
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Abstract
The invention discloses a mine personnel behavior management system and a platform, wherein the system adopts advanced technologies such as artificial intelligence, cloud computing, big data, Internet of things and the like to comprehensively master the behavior of people, the state of environment, key operation steps and operation flow in the process of mine production operation, track and analyze in real time to find problems, timely remind, alarm to stop, safely lock, record in a background and intelligently identify and update a risk source knowledge base, finally ensure that the rule system files such as static personnel behavior management system, enterprise safety management policy and the like are executed in place by adopting a dynamic and objective informationized digital intelligent technical means, thereby really preventing risks of real time, everywhere, affairs and people, avoiding the occurrence of safety accidents of break-and break, and helping enterprises to develop sustainably.
Description
Technical Field
The invention belongs to the field of mine safety management, and particularly relates to a mine personnel behavior governance system and a mine personnel behavior governance platform.
Background
At present, when the coal mine underground excavation operation is carried out, the supervision and control on the operation safety are the main problems of the coal mine excavation operation at present, and many underground safety accidents are major risks caused by human factors, particularly, illegal behaviors of mines caused by incomplete implementation of a safety management system are multiple, so that the coal mine safety production form is severe, and the coal mine underground excavation operation is a prominent problem in the whole coal industry.
For implementation of a coal mine safety management system, the occurrence of coal mine safety hidden dangers caused by problems of thin safety consciousness, paralysis, carelessness, privately simplified business process, illegal operation and the like of related underground workers cannot be thoroughly avoided only by means of conventional means such as daily regulation and regulation learning, president consultation and declaration, periodic examination learning, leadership supervision and inspection and the like.
Specifically, the conventional means has the following problems: 1. the execution of the safety system has the problems of non-uniform oral and action, completeness of pursuit form, great energy consumption for compiling interior materials and the like, so that the risk of falling into image engineering exists. 2. The problems of thin safety consciousness, paralysis and carelessness, privately simplified business flow, illegal operation and the like of related underground workers cannot be avoided. 3. A large amount of risk and hidden danger data can be generated in the running process of the existing safety system, and the sorting, analysis, processing and storage are carried out only by manual operation. It takes both man-hours and manpower.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides a mine personnel behavior governance system and a mine personnel behavior governance platform. The technical problem to be solved by the invention is realized by the following technical scheme:
a mine personnel behavior governance system comprising:
the intelligent monitoring and early warning module is used for accessing video monitoring data by using a camera, performing application analysis on the data based on machine vision and an artificial intelligence algorithm model, and effectively combining personnel operation, equipment facility states and a production environment through an intelligent monitoring and early warning platform to form intelligent perception of personnel operation risk, intelligent perception of equipment facility risk, intelligent perception of production environment risk, automatic alarm pushing and intelligent analysis display in the production process;
the safety ring exception handling closed-loop management module is used for completing safety advance management and embodying prevention as a main part and advanced treatment; through artificial intelligence and double control management, a new management mode integrating perception, analysis, decision, command and supervision is formed, safe in-the-spot management is completed, and authenticity of data and effectiveness of management and control work are guaranteed; the safety post management is finished through accident management and assessment and evaluation; by matching with data visualization analysis and mobile terminal application, the back logic of the business data is observed, and a decision support basis is provided for safety production;
the post flow standardization operation management module is used for refining, quantifying and standardizing the whole process of the field operation activity according to the requirements specified by related laws and regulations, technical standards and regulations of coal mine safety production aiming at each specific operation in the field operation process, ensuring that the operation process is in a controllable, controllable and in-control state, and avoiding deviation and errors so as to obtain the optimal order and effect. When the user uses the standardized operation guide APP to carry out field operation, the user can be guided to operate according to correct steps according to the content of the operation guide card, the phenomena of missing items, item skipping and the like are prevented, and the wrong operation caused by human factors in the operation process is avoided. The functions of whole process guidance, whole process monitoring, on-site card punching and the like of the operation of the key post are realized;
the safety ring evaluation module is used for developing around people, machines and rings of a coal mine based on AI + IOT technology aiming at safety and production problems under the coal mine, defining the composition, quantification method and evaluation mode of evaluation indexes, finally forming a coal mine evaluation index system taking coal mine monitoring item configuration rules and evaluation rules as cores, and dynamically evaluating coal mine enterprises.
The invention also provides a mine personnel behavior governance platform, which comprises:
the system comprises a professional sensing layer, a monitoring layer and a monitoring layer, wherein the professional sensing layer is used for collecting sensing data, and the sensing data comprises sensor data, equipment operation data, safety management data and industrial video data;
the transmission layer is used for transmitting the perception data to the data management layer;
the data management layer is used for receiving the perception data and processing the perception data to form unified application data;
the artificial intelligence processing layer is used for processing the application data to obtain analysis data;
and the application layer is used for carrying out behavior control according to the analysis data.
In a specific embodiment, the professional sensing layer comprises a plurality of sensing devices, and the sensing devices comprise a camera device, an electric control device, a gas sensor, an electroencephalogram acquisition device, a personnel locator card and an underground device sensor.
In one embodiment, the transport layer comprises: the system comprises at least one of an industrial internet of things transmission system, a field bus industrial ring network system, an internet of things acquisition transmission system, a mobile network transmission system and a multi-service broadband transmission system.
In one embodiment, the data management layer includes a number of storage devices.
In a specific embodiment, the application layer comprises an intelligent monitoring and early warning module, a security ring abnormal handling closed-loop management module, a post flow standardized operation management module and a security ring evaluation module; wherein the content of the first and second substances,
the intelligent monitoring and early warning module is used for monitoring unsafe behaviors of people, unsafe states of equipment and unsafe factors of the environment in real time and early warning personnel operation risks, equipment facility risks and production environment risks according to monitoring results;
the safety ring abnormity handling closed-loop management module is used for performing accident management and assessment evaluation according to the monitoring result;
the post flow standardization operation management module is used for establishing a standard operation flow according to an operation task so as to enable a user to complete operation according to the operation flow;
and the health ring evaluation scoring module is used for calculating and displaying a real-time score of the coal mine according to the evaluation result, and performing trend analysis, deduction analysis and relative ranking information display according to the evaluation result, wherein the real-time score comprises one or more of a comprehensive score, a health value and a safety value.
In a specific embodiment, the platform further comprises an operation terminal and a display terminal.
The invention has the beneficial effects that:
the mine personnel behavior management system disclosed by the invention drops the safety management system of the health ring to the real place through an AI technology, and continuously discovers new risk sources and updates the risk source knowledge base. The safety state of the production process is comprehensively and timely mastered by advanced and reliable informatization means, the safety management working process of an enterprise is planned, tracked and controlled, the quick feedback, dynamic tracking and closed-loop control of the safety information of the production site are realized, the management flow is optimized, the supervision capability of the whole safety management work of the enterprise is improved, the occurrence of zero-knock accidents is favorably reduced and stopped, the safety production cost is saved, the safety responsibility risk is controlled, the essential safety of the enterprise is realized, and the sustainable development of the enterprise is ensured.
The present invention will be described in further detail with reference to the accompanying drawings and examples.
Drawings
Fig. 1 is a schematic diagram of a mine personnel behavior governance system architecture provided by an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to specific examples, but the embodiments of the present invention are not limited thereto.
Example one
Referring to fig. 1, fig. 1 is a schematic diagram of a mine personnel behavior governance system architecture according to an embodiment of the present invention, including:
the intelligent monitoring and early warning module is used for accessing video monitoring data by using a camera, performing application analysis on the data based on machine vision and an artificial intelligence algorithm model, and effectively combining personnel operation, equipment facility states and a production environment through an intelligent monitoring and early warning platform to form intelligent perception of personnel operation risk, intelligent perception of equipment facility risk, intelligent perception of production environment risk, automatic alarm pushing and intelligent analysis display in the production process;
the safety ring exception handling closed-loop management module is used for completing safety advance management and embodying prevention as a main part and advanced treatment; through artificial intelligence and double control management, a new management mode integrating perception, analysis, decision, command and supervision is formed, safe in-the-spot management is completed, and authenticity of data and effectiveness of management and control work are guaranteed; the safety post management is finished through accident management and assessment and evaluation; by matching with data visualization analysis and mobile terminal application, the back logic of the business data is observed, and a decision support basis is provided for safety production;
the post flow standardization operation management module is used for refining, quantifying and standardizing the whole process of the field operation activity according to the requirements specified by related laws and regulations, technical standards and regulations of coal mine safety production aiming at each specific operation in the field operation process, ensuring that the operation process is in a controllable, controllable and in-control state, and avoiding deviation and errors so as to obtain the optimal order and effect. When the user uses the standardized operation guide APP to carry out field operation, the user can be guided to operate according to correct steps according to the content of the operation guide card, the phenomena of missing items, item skipping and the like are prevented, and the wrong operation caused by human factors in the operation process is avoided. The functions of whole process guidance, whole process monitoring, on-site card punching and the like of the operation of the key post are realized;
the safety ring evaluation module is used for developing around people, machines and rings of a coal mine based on AI + IOT technology aiming at safety and production problems under the coal mine, defining the composition, quantification method and evaluation mode of evaluation indexes, finally forming a coal mine evaluation index system taking coal mine monitoring item configuration rules and evaluation rules as cores, and dynamically evaluating coal mine enterprises.
The mine personnel behavior management system disclosed by the invention drops the safety management system of the health ring to the real place through an AI technology, and continuously discovers new risk sources and updates the risk source knowledge base. The safety state of the production process is comprehensively and timely mastered by advanced and reliable informatization means, the safety management working process of an enterprise is planned, tracked and controlled, the quick feedback, dynamic tracking and closed-loop control of the safety information of the production site are realized, the management flow is optimized, the supervision capability of the whole safety management work of the enterprise is improved, the occurrence of zero-knock accidents is favorably reduced and stopped, the safety production cost is saved, the safety responsibility risk is controlled, the essential safety of the enterprise is realized, and the sustainable development of the enterprise is ensured.
This embodiment provides a mine personnel action administers platform simultaneously, includes:
the system comprises a professional sensing layer, a monitoring layer and a monitoring layer, wherein the professional sensing layer is used for collecting sensing data, and the sensing data comprises sensor data, equipment operation data, safety management data and industrial video data;
specifically, the professional perception layer collects environmental safety data and equipment operation data in the mine through various collection equipment. For example, images in a mine and videos of personnel working can be collected in real time through the camera equipment, so that the images and the videos can be processed subsequently, and whether the personnel violate operations or not can be judged; acquiring air data in a mine through gas sensors such as a gas sensor, a carbon dioxide sensor and an oxygen sensor so as to judge the safety of the current operation environment subsequently; the health data of the workers are acquired through the electroencephalogram acquisition equipment, so that whether the workers have the conditions of inattention, fatigue work, sleep, syncope and the like or not is judged in the following process, and unsafe accidents are avoided; the specific position information of the workers in the mine is acquired through the personnel positioning card, so that the dynamics of the workers can be mastered, the dispatching and dispatching are convenient, or the specific positions of the workers can be mastered at the first time when an unsafe accident happens; in addition, many underground electrical devices, such as intelligent equipment such as a fully mechanized excavating machine, a heading machine, a train, a belt conveyor and the like, exist in the mine, so that the power supply state of the electrical devices and the working state of underground related devices need to be acquired.
The transmission layer is used for transmitting the perception data to the data management layer;
specifically, the transmission layer is composed of a system with industrial-level data processing, and includes: an industrial internet of things transmission system, a field bus industrial ring network system, an internet of things acquisition transmission system, a mobile network transmission system (such as a mobile communication network like 5G, 4G, GPRS or a WLAN network), and a multi-service broadband transmission system. And different types of data are transmitted through different transmission systems and are uniformly converged to the data management layer.
The data management layer is used for receiving the perception data and processing the perception data to form unified application data;
specifically, the data management layer includes all data of transmission layer transmission, still include mine mining area relevant data, for example mine personnel information data, mine three-dimensional map data etc, data management is through integrating perception data and mine personnel information data, mine three-dimensional map data etc. for can be correlated with each other before the data, for example when mine personnel are in the pit, through transferring this personnel's data, just can acquire this personnel's identity information immediately, vital sign information, positional information, current operation flow information, current operation video information, thereby can all-round management and control every underground personnel's safety.
The identity information may include, for example, name, gender, date of birth (which may be converted to age), cultural degree, work hours (which may be converted to work age), work category, political aspect, etc., and may also include information such as three violation records.
It should be noted that, because the amount of information transmitted by the transmission layer is huge and diversified, and such data has a high requirement for real-time processing, a special data management machine room is required to transmit and store the data so that the data can be collected, transmitted, processed and fed back instantly. The data storage logic of the present invention uses the existing big data storage architecture to perform the operations of resource scheduling, storage management, network management, user management, security management, etc., which are not described herein again.
The artificial intelligence processing layer is used for processing the application data to obtain analysis data;
specifically, the collected application data can be processed by adopting the existing intelligent perception algorithm, intelligent recognition algorithm and data mining algorithm through model analysis and simulation prediction to form analysis data capable of being effectively displayed.
And the application layer is used for carrying out behavior control according to the analysis data.
In particular, the method comprises the following steps of,
the application layer comprises an intelligent monitoring and early warning module, an security ring abnormity handling closed-loop management module, a post process standardization operation management module and a security ring evaluation module; wherein the content of the first and second substances,
the intelligent monitoring and early warning module is used for monitoring unsafe behaviors of people, unsafe states of equipment and unsafe factors of the environment in real time and early warning personnel operation risks, equipment facility risks and production environment risks according to monitoring results;
the video monitoring data are accessed by the camera, application analysis is carried out on the data based on machine vision and an artificial intelligence algorithm model, and personnel operation, equipment facility states and production environment are effectively combined through the intelligent monitoring early warning platform, so that intelligent personnel operation risk sensing, intelligent equipment facility risk sensing, intelligent production environment risk sensing, automatic alarm pushing and intelligent analysis display in the production process are formed.
The safety ring abnormity handling closed-loop management module is used for performing accident management and assessment evaluation according to the monitoring result;
through artificial intelligence and double control management, a new management mode integrating perception, analysis, decision, command and supervision is formed, safe in-the-spot management is completed, and authenticity of data and effectiveness of management and control work are guaranteed; the safety post management is finished through accident management and assessment and evaluation; and by matching with data visualization analysis and mobile terminal application, business data back logic is observed, and decision support basis is provided for safety production.
The post flow standardization operation management module is used for establishing a standard operation flow according to an operation task so as to enable a user to complete operation according to the operation flow;
aiming at each specific operation in the field operation process, the whole process of the field operation activity is refined, quantized and standardized according to the requirements specified by related laws and regulations, technical standards and regulations of coal mine safety production, the operation process is ensured to be in a controllable, controllable and in-control state, no deviation and no error occur, and the optimal order and effect are obtained. When the user uses the standardized operation guide APP to carry out field operation, the user can be guided to operate according to correct steps according to the content of the operation guide card, the phenomena of missing items, item skipping and the like are prevented, and the wrong operation caused by human factors in the operation process is avoided. The functions of whole process guidance, whole process monitoring, on-site card punching and the like of the operation of the key post are realized. The specific functions may be:
1) the system supports an offline operation function and uploads after networking;
2) after a user logs in, directly operating according to a displayed operation flow chart, and checking according to the steps;
3) the abnormal item is associated with abnormal option description and processing measures; and synchronizing the abnormal items to the hidden danger input module to generate hidden dangers.
4) The system supports video shooting and uploading, realizes a video retrieval function, and can perform spot check on the quality of the uploaded video.
And the health ring evaluation scoring module is used for calculating and displaying a real-time score of the coal mine according to the evaluation result, and performing trend analysis, deduction analysis and relative ranking information display according to the evaluation result, wherein the real-time score comprises one or more of a comprehensive score, a health value and a safety value.
Aiming at the problems of safety and production in the underground coal mine, the method is based on AI + IOT technology, and is expanded around people, machines and loops of the coal mine, so that the composition, quantification method and evaluation mode of evaluation indexes are determined, a coal mine evaluation index system taking coal mine monitoring item configuration rules and scoring rules as the core is finally formed, and coal mine enterprises are dynamically scored.
Specifically, the evaluation score of the health ring comprises the following steps: by means of data support such as intelligent monitoring and early warning, safety risk management and control, accident potential troubleshooting, three-violation information management and the like, aiming at safety and production problems in the underground coal mine, the constitution, the quantification method and the evaluation mode of evaluation indexes are determined by performing professional development around coal mining, tunneling, electromechanics, transportation, ventilation and the like of the coal mine on the basis of an AI + IOT technology, and finally a coal mine evaluation index system taking coal mine monitoring item configuration rules and evaluation rules as cores is formed to dynamically grade coal mine enterprises. And displaying the real-time scores (including comprehensive scores, health values and safety values), trend analysis, deduction analysis and relative ranking information of the coal mine in real time. The real-time scores provide detailed display of each score, and corresponding scores can be clicked to enter a monitoring item list, so that basic attributes, basic scores and corresponding deductions of monitoring items are displayed; the trend analysis provides time unit screening of day, month and year, and the system can visually display an evaluation score curve so as to facilitate comparative analysis; deduction analysis coal mine monitoring items are subjected to deduction proportion analysis from different professional dimensions of a coal mine. The coal mine safety management evaluation scoring is mainly used for safety and production management of coal mines, and by establishing and perfecting an evaluation index system, a coal mine information integrated monitoring system platform becomes a daily work platform of a safety management department and a scheduling department, so that the comprehensive information level of intelligent acquisition and data analysis of the coal mines is improved, and support is provided for safety development and continuous improvement of the safety level of the coal mines.
The safety risk management and control module is used for marking the analysis data on a pre-stored three-dimensional image of the mine;
specifically, the information (sensor and video data) gathered by the sensing network is intelligently sensed through AI, and the basic information, the video monitoring points, the sensor monitoring points, the emergency broadcast and other position information are superposed on the mine three-dimensional system base map to label the risk source on the map. And real-time state alarm is realized, and abnormal real-time alarm (camera flashing and list display) is found. Real-time monitoring and displaying in a fixed area; hidden dangers are automatically generated through risks and are transmitted into an accident hidden danger troubleshooting system to be rectified and modified, and reporting, acceptance, record archiving and tracing of final items of actual treatment conditions are achieved. And setting a rectification time limit, supervising the project which is currently rectified, and alarming and reminding the project which is not rectified according to the period. The method supports combined query according to human, machine and ring classification or/area distribution, associates each link of safety management with each other to form an organic whole, and can query the related change trends of all aspects from one information. The conversion of risks and hidden dangers is realized, when the risk management and control fails, the system realizes automatic risk conversion to the hidden dangers, and the risk management and control is associated with safety risk classification management and the like due to the fact that the risk management and control is not in place.
The system also comprises an accident potential risk troubleshooting module used for troubleshooting the preset potential safety hazard according to the analysis data and carrying out statistical processing on the troubleshooting result;
specifically, risks are intelligently sensed through AI, hidden dangers are generated, the system provides potential safety hazard troubleshooting on safety information, the hidden dangers are monitored, and process management on the potential safety hazard troubleshooting is achieved. Hidden dangers are discovered through information provided by various levels and various hidden dangers for troubleshooting and safety inspection, troubleshooting records (including time, place, content, correction fund and other tracking information) are registered, hidden danger treatment conditions can be inquired in the system in time, and reporting, acceptance, record archiving and tracing of final items of actual treatment conditions are realized. And setting a rectification time limit, supervising the project which is currently rectified, and alarming and reminding the project which is not rectified according to the period. The subsystem comprises hidden danger information input, hidden danger closed-loop management, hidden danger troubleshooting scheme management, statistical analysis and the like. Meanwhile, the system has the accident potential warning function and the automatic upgrading supervision function, completes the prior management of safety, and embodies prevention-oriented and advanced management; the double-control management and the safety production standardization reach the standard, a three-in-one integrated safety prevention and control system is formed, the safety in-service management is completed, and the authenticity of data and the effectiveness of the management and control work are guaranteed; the safety post management is finished through accident management and assessment and evaluation; and by matching with data visualization analysis and mobile terminal application, business data back logic is observed, and decision support basis is provided for safety production.
The system also comprises a violation information management module which is used for processing violation information according to the analysis data so as to correlate the violation information with corresponding personnel information;
specifically, data acquired through video are analyzed, the fact that the illegal operation condition of a person is subjected to acousto-optic alarm in real time is analyzed, violation information is sent to a related person in charge, the three-dimensional information management system receives and records incident time, incident place, three-violation person identity information, shift, affiliated unit, three-violation behavior description, three-violation classification, three-violation levels (safety management red line, more serious three-violation, general three-violation and the like), investigation unit (individual), processing information, training and assistant record and the like, and the three-violation times and time intervals of the three-violation person year are automatically counted. The identity information of the three offenders is compared by name or identity card number to call the data of the human resource management system and the party building management system, including name, gender, birth date (converted into age), cultural degree, working time (converted into working age), work type, political face and the like. The training and assistant teaching records can set different levels of training and assistant teaching according to different three-default management systems.
The information is associated with the related information of safety risk data management because of the three defaults that the risk control is not in place; accident potential caused by the three violations is associated with relevant information of 'investigation and treatment of accident potential'; the standardized inspection items are deducted due to the three violations and are associated with the relevant information of the safety production standardization, the safety behavior management work of people is deeply carried out to the site, the risk is accurately pre-controlled in real time, everywhere, people and matters, the risk is controlled, and the situation is changed from passive acceptance to active participation.
In a specific embodiment, the application layer further includes an operation terminal and a display terminal. The safety management can be supported in an all-dimensional, multi-dimensional and multi-view mode through a portal website, large-screen display, various terminal devices (a notebook, a PDA, a mobile phone APP) and the like.
In the present invention, unless otherwise expressly stated or limited, the terms "mounted," "connected," "secured," and the like are to be construed broadly and can, for example, be fixedly connected, detachably connected, or integrally formed; can be mechanically or electrically connected; either directly or indirectly through intervening media, either internally or in any other relationship. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
In the present invention, unless otherwise expressly stated or limited, "above" or "below" a first feature means that the first and second features are in direct contact, or that the first and second features are not in direct contact but are in contact with each other via another feature therebetween. Also, the first feature being "on," "above" and "over" the second feature includes the first feature being directly on and obliquely above the second feature, or merely indicating that the first feature is at a higher level than the second feature. A first feature being "under," "below," and "beneath" a second feature includes the first feature being directly under and obliquely below the second feature, or simply meaning that the first feature is at a lesser elevation than the second feature.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples described in this specification can be combined and combined by those skilled in the art.
While the present application has been described in connection with various embodiments, other variations to the disclosed embodiments can be understood and effected by those skilled in the art in practicing the claimed application, from a review of the drawings, the disclosure, and the appended claims. In the claims, the word "comprising" does not exclude other elements or steps, and the word "a" or "an" does not exclude a plurality. A single processor or other unit may fulfill the functions of several items recited in the claims. The mere fact that certain measures are recited in mutually different dependent claims does not indicate that a combination of these measures cannot be used to advantage.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, apparatus (device), or computer program product. Accordingly, this application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects that may all generally be referred to herein as a "module" or "system. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein. A computer program stored/distributed on a suitable medium supplied together with or as part of other hardware, may also take other distributed forms, such as via the Internet or other wired or wireless telecommunication systems.
The foregoing is a more detailed description of the invention in connection with specific preferred embodiments and it is not intended that the invention be limited to these specific details. For those skilled in the art to which the invention pertains, several simple deductions or substitutions can be made without departing from the spirit of the invention, and all shall be considered as belonging to the protection scope of the invention.
Claims (7)
1. A mine personnel behavior governance system, comprising:
the intelligent monitoring and early warning module is used for accessing video monitoring data by using a camera, performing application analysis on the data based on machine vision and an artificial intelligence algorithm model, and effectively combining personnel operation, equipment facility states and a production environment through an intelligent monitoring and early warning platform to form intelligent perception of personnel operation risk, intelligent perception of equipment facility risk, intelligent perception of production environment risk, automatic alarm pushing and intelligent analysis display in the production process;
the safety ring exception handling closed-loop management module is used for completing safety advance management and embodying prevention as a main part and advanced treatment; through artificial intelligence and double control management, a new management mode integrating perception, analysis, decision, command and supervision is formed, safe in-the-spot management is completed, and authenticity of data and effectiveness of management and control work are guaranteed; the safety post management is finished through accident management and assessment and evaluation; by matching with data visualization analysis and mobile terminal application, the back logic of the business data is observed, and a decision support basis is provided for safety production;
the post flow standardization operation management module is used for refining, quantifying and standardizing the whole process of the field operation activity according to the requirements specified by related laws and regulations, technical standards and regulations of coal mine safety production aiming at each specific operation in the field operation process, ensuring that the operation process is in a controllable, controllable and in-control state, and avoiding deviation and errors so as to obtain the optimal order and effect. When the user uses the standardized operation guide APP to carry out field operation, the user can be guided to operate according to correct steps according to the content of the operation guide card, the phenomena of missing items, item skipping and the like are prevented, and the wrong operation caused by human factors in the operation process is avoided. The functions of whole process guidance, whole process monitoring, on-site card punching and the like of the operation of the key post are realized;
the safety ring evaluation module is used for developing around people, machines and rings of a coal mine based on AI + IOT technology aiming at safety and production problems under the coal mine, defining the composition, quantification method and evaluation mode of evaluation indexes, finally forming a coal mine evaluation index system taking coal mine monitoring item configuration rules and evaluation rules as cores, and dynamically evaluating coal mine enterprises.
2. The utility model provides a mine personnel action administers platform which characterized in that includes:
the system comprises a professional sensing layer, a monitoring layer and a monitoring layer, wherein the professional sensing layer is used for collecting sensing data, and the sensing data comprises sensor data, equipment operation data, safety management data and industrial video data;
the transmission layer is used for transmitting the perception data to the data management layer;
the data management layer is used for receiving the perception data and processing the perception data to form unified application data;
the artificial intelligence processing layer is used for processing the application data to obtain analysis data;
and the application layer is used for carrying out behavior control according to the analysis data.
3. The mining personnel behavior governance platform of claim 2, wherein the specialized sensing layer comprises a plurality of sensing devices, and the sensing devices comprise a camera device, an electric control device, a gas sensor, an electroencephalogram acquisition device, a personnel locator card, and an underground device sensor.
4. The mining personnel behavior governance platform of claim 2, wherein the transport layer comprises: the system comprises at least one of an industrial internet of things transmission system, a field bus industrial ring network system, an internet of things acquisition transmission system, a mobile network transmission system and a multi-service broadband transmission system.
5. The mine personnel behavior governance platform of claim 2, wherein the data management layer comprises a plurality of storage devices.
6. The mining personnel behavior governance platform of claim 2, wherein,
the application layer comprises an intelligent monitoring and early warning module, an security ring abnormity handling closed-loop management module, a post process standardization operation management module and a security ring evaluation module; wherein the content of the first and second substances,
the intelligent monitoring and early warning module is used for monitoring unsafe behaviors of people, unsafe states of equipment and unsafe factors of the environment in real time and early warning personnel operation risks, equipment facility risks and production environment risks according to monitoring results;
the safety ring abnormity handling closed-loop management module is used for performing accident management and assessment evaluation according to the monitoring result;
the post flow standardization operation management module is used for establishing a standard operation flow according to an operation task so as to enable a user to complete operation according to the operation flow;
and the health ring evaluation scoring module is used for calculating and displaying a real-time score of the coal mine according to the evaluation result, and performing trend analysis, deduction analysis and relative ranking information display according to the evaluation result, wherein the real-time score comprises one or more of a comprehensive score, a health value and a safety value.
7. The mining personnel behavior governance platform of claim 2, wherein the platform further comprises an operator terminal and a display terminal.
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