CN108717604A - A kind of production safety hidden danger closed loop management system - Google Patents

A kind of production safety hidden danger closed loop management system Download PDF

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CN108717604A
CN108717604A CN201810485975.6A CN201810485975A CN108717604A CN 108717604 A CN108717604 A CN 108717604A CN 201810485975 A CN201810485975 A CN 201810485975A CN 108717604 A CN108717604 A CN 108717604A
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田水承
陈洋
杨鹏飞
沈小清
周润康
董威松
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Xian University of Science and Technology
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    • E21FSAFETY DEVICES, TRANSPORT, FILLING-UP, RESCUE, VENTILATION, OR DRAINING IN OR OF MINES OR TUNNELS
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    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract

The invention discloses a kind of production safety hidden danger closed loop management system, including hidden danger collection module, hidden danger uploads hidden danger, incipient fault data processing module, and Rectification of hidden dangers module and hidden danger check module.Hidden danger collection module, for acquiring safety in production hidden danger information;Hidden danger uploading module, for uploading safety in production hidden danger information;Hidden danger processing module carries out classification to hidden danger by database and provides resolution;Rectification of hidden dangers module, for assigning safety in production Rectification of hidden dangers scheme, Rectification of hidden dangers time limit and hidden danger responsible person;Hidden danger checks module, and security risk rectification situation is verified and recorded based on security risk closed loop management.The present invention has the advantages that following:Use in conjunction based on Internet of Things, big data technology provides superior technique support for Safety of Coal Mine Production informationization hidden troubles removing improvement, to further increase the Safety of Coal Mine Production level of IT application, the acquisition of its coal mine production safety hidden danger, investigation and management level are significantly increased.

Description

A kind of production safety hidden danger closed loop management system
Technical field
The present invention relates to Internet of Things, big data technical field more particularly to a kind of lifes based on Internet of Things, big data technology Produce security risk closed loop management system.
Background technology
In recent years, China's coal-mine safety in production form is clearly better, but whole situation allows of no optimist, and when severe and great casualty has Occur.
Although the generation of coal enterprise's accident in order to prevent, a series of management method and system is formulated and have put into big The fund and technical equipment of amount, but people, production safety management, mechanical equipment and environment respectively become one and relatively independent are It unites, resource-sharing can not be carried out between subsystems, also each other independently of each other, and hidden danger present in these factors It may all cause the accident.Coal mine is during carrying out hidden troubles removing improvement, often since hidden troubles removing is not prompt enough With comprehensive, hidden danger information transfer lag, Control of Hidden scheme implement not in time, Control of Hidden progress supervision it is not in place and management Be not good at etc., lead to that accident occurs, huge loss is caused to people's life, property.
Invention content
The purpose of the present invention is that solve the above-mentioned problems and provides a kind of production safety hidden danger closed loop management system.
The present invention is achieved through the following technical solutions above-mentioned purpose:
The present invention includes that hidden danger collection module, hidden danger uploading module, hidden danger processing module, Rectification of hidden dangers module and hidden danger are multiple Module is looked into, the hidden danger collection module inputs hidden danger by intelligent terminal and collects security risk based on internet of things sensors;Institute It is that the safety in production incipient fault data of acquisition is imported into production safety incipient fault data library to carry out data analysis to state hidden danger uploading module, And the data to uploading in real time carry out the module of hidden danger prediction;The hidden danger processing module is for dividing the hidden danger of institute's typing Class is classified and provides resolution;The Rectification of hidden dangers module under the Rectification of hidden dangers scheme that will keep the safety in production for reaching corresponding Work position;The hidden danger check module is used to carry out verification to security risk rectification situation and records rectification result.
The instrument of the hidden danger collection module is mainly video monitoring, sensor, and the sensor includes that environment measuring passes Sensor, equipment health status detection sensor, miner's behavioral value sensor, gas concentration sensor, top plate amount of movement sensing Device, sensor of dust concentration, miner's action recognition sensor.
The specifically used of hidden danger uploading module be:Miner is uploaded eventually with the release brush production safety hidden danger of oneself End, selects corresponding security risk type, security risk position on the instrument screen;Differ when with preset hidden danger phenomenon information When cause, then by way of being manually entered, transmission terminal in hidden danger phenomenon typing security risk is increased newly;The terminal according to hidden danger when Between, place, hidden danger type, hidden danger finder encode according to preset coding mode.Miner's personal information card, is used for One key rescue, security risk upload terminal recognition miner's identity, provide foundation for reward miner, wherein the card is also used for personnel Underground location and identification.
The hidden danger uploading module is connected with database, when the hidden danger of miner's input is general incipient faults, the terminal meeting Show that corresponding Control of Hidden scheme and the hidden danger type to being reported, time, place, hidden danger finder carry out being uploaded to production Safeguard Management Information System;The data are uploaded in data if when can not provide corresponding resolution and can not differentiate The heart.Transmission terminal is encoded according to hidden danger spot, time, state, type in security risk.Miner can exist according to field condition Transmission terminal selects corresponding hidden danger to pass through what is be manually entered if preset hidden danger phenomenon information is inconsistent in security risk Mode increases transmission terminal in hidden danger phenomenon typing security risk newly.
The hidden danger processing module includes data generation module, data acquisition module, data storage module, data analysis Module, wherein data generation module are mainly derived from transmission terminal in safety in production hidden danger, and data acquisition module, which derives from, is based on object The collection information of the Coal Mine Safety Monitoring System of networking technology and miner to hidden danger;The hidden danger processing module is based on big number Data storage, data analysis are carried out to the incipient fault data uploaded according to technology;By being compared with the existing hidden danger of database, Judge, predict, hidden danger is classified and is classified and is obtained corresponding security risk resolution;It is uploaded if not existing in database Incipient fault data, then system can be delivered to expert group and assess the hidden danger by expert group, and the hidden danger is stored in incipient fault data library; If the incipient fault data uploaded is normal condition, which eliminates;Wherein hidden danger first trial is the hidden danger and data to being uploaded The already present data in library carry out first preliminary hearing, judge that uploaded hidden danger whether there is.If it is similar hidden to there is no this in database Suffer from, then needs expert group judge, be classified in time to the hidden danger, classifying and hidden danger prediction, and Control of Hidden scheme is assigned To Rectification of hidden dangers module.It is additionally operable to structure safety in production hidden troubles removing prediction model, and hidden according to the safety in production of structure Suffer from investigation prediction model to investigate the enterprise's incipient fault data received, passes through the hidden danger information governing Identification Platform Hidden troubles removing result is sent to enterprise's hidden danger and checks oneself terminal.
Mainly there are inside data of enterprise, internet data, coal in the source of the big data in production safety incipient fault data library Four major class of data and scientific experimental data mutually shared, has set up production safety incipient fault data library between mine enterprise;It is wherein raw Data inside production security risk database can automatically update, such as the update of Control of Hidden method, the update of hidden danger type;
Wherein, the data storage is not simply to store for storing new data, and storage is data life A small link in period can carry out data multiple access and scheduling, the storage of data during data analysis No longer it is just the storage of static state, data can be carried out dynamically with the variation of data life period and the needs of practical application The updates operation such as increase, subtract, delete and change.
Production safety incipient fault data library carries out the data analysis in data analysis:There are two types of methods for the classification of hidden danger: One is be divided into general thing to hidden danger as standard according to using the difficulty of the rectification of hidden danger, improvement and exclusion and its coverage Therefore hidden danger and major accident hidden danger;Another is the frequent degree for considering hidden danger on the basis of the first and occurring, to pole The process, equipment, personnel for production hidden danger easily occur increase tour frequency, to reduce the generation of accident;By hidden to keeping the safety in production The classification of suffering from data, comparison can obtain different type hidden danger leads to probability, death toll and the accounting of accident.Wherein, institute Data analysis is stated, is specifically used for identification model and assessment models based on safety in production hidden danger, from history accident and history enterprise Obtain that hidden danger is dominant, recessive factors causing disaster in incipient fault data;Career field, category of employment, the cause calamity administered according to hidden troubles removing Classification carries out graded and classified administration to dominant, the recessive factors causing disaster obtained, forms classification Hidden Danger method knowledge Library;Cloud service platform is relied on, according to the correspondence of all types hidden danger information and factors causing disaster, hidden danger information is established and causes calamity The history accident and history enterprise incipient fault data are divided in conjunction with scheduled prediction model in the basic relationship maps library of factor Analysis is excavated, and safety in production hidden troubles removing prediction model is obtained;It establishes hidden troubles removing to administer identification and assess cloud platform, described in deployment Safety in production hidden troubles removing prediction model;By the safety in production hidden troubles removing prediction model after deployment to the enterprise of acquisition Incipient fault data carries out hidden troubles removing, obtains hidden troubles removing result.
The Rectification of hidden dangers module is by phone, downhole terminal by production safety Rectification of hidden dangers scheme, under the rectification time limit Reach corresponding department, and specified rectification responsible person;And the files such as rectification scheme, rectification time limit, rectification responsible person are uploaded to Safe production management system is to make to put on record.The Rectification of hidden dangers module, for by phone, downhole terminal by production safety hidden danger Rectification scheme reaches corresponding department, and specified rectification responsible person under the rectification time limit;And by rectification scheme, rectification the time limit, rectification The files such as responsible person upload to production safety management information system to make to put on record.
In the hidden danger check module, rectification responsible person checks and its checks and accepts to the rectification situation of hidden danger, and will The result of check reports safe production management system by intelligent mobile terminal, does not rectify and improve such as, then the production link forbids work Make, until rectification is completed, production permit is assigned by production safety management layer.
The hidden danger checks module, is based on security risk closed loop management platform, and rectification responsible person needed within the rectification time limit Establishment officer rectifies and improves existing hidden danger.Checking people should be when rectifying and improving time limit cut-off to there are hidden danger to check, will be whole Change situation, the result of check passes through mobile intelligent terminal typing production safety management information system.
Wherein, the mobile intelligent terminal is the intelligent PDA in hidden danger check person's hand, is realized in the form of APP, for hidden Suffer from inquiry and report the function of rectification situation, with explosion prevention function.
Wherein, security risk closed loop management platform, major function are to realize to come from each production subsystem by technology of Internet of things The security risk progress of system is centrally stored, passes through closed loop management, it is ensured that each security risk implements to specific responsible person, energy Disposition, measures to rectify and reform and the rectification of enough security risks of follow-up in time are as a result, to ensure current Safety of Coal Mine Production.
The beneficial effects of the present invention are:
The present invention is a kind of production safety hidden danger closed loop management system, compared with prior art, the present invention is based on Internet of Things, People, sensor, production equipment, working environment, management are formed one by big data technology has intelligent, information-based bursting tube Reason system shortens hidden danger information uplink time, and comparatively fast assigns Control of Hidden scheme by the crash analysis of database and comparison, And veteran rectification responsible person is assigned like hidden danger according to class database, form the closed loop management of safety in production hidden danger management System strengthens the supervision administered to hidden troubles removing.The system makes comprehensive hidden troubles removing control, overall process, rule Generalized, sequencing and standardization reach specification pipe to promoting regulation and standardization and the digitlization of hidden troubles removing control Reason, information sharing promote hidden troubles removing improvement management level, improve accident prevention ability, have very positive meaning.
Description of the drawings
The structural schematic diagram of the safety in production hidden danger management system of Fig. 1 present invention;
The safety in production hidden danger closed loop management system flow chart of Fig. 2 present invention;
The hidden danger collection structure figure based on Internet of Things of Fig. 3 present invention;
Hidden danger push and the closed loop management principle schematic of Fig. 4 present invention.
Specific implementation mode
The invention will be further described below in conjunction with the accompanying drawings:
The present invention be directed to coal mines during carrying out hidden troubles removing improvement, and hidden troubles removing is not prompt enough and comprehensive, hidden Suffer from information transfer lag, Control of Hidden scheme implement not in time, Control of Hidden progress supervision it is not in place and mismanagement etc. lack Point provides a kind of based on Internet of Things, big data Safety of Coal Mine Production hidden danger closed loop management system.It is characterised in that it includes:Hidden danger Collection module is used for collection of coal mine security risk information;Hidden danger uploading module, for uploading safety in production hidden danger information;Hidden danger Processing module carries out classification for the hidden danger to institute's typing and provides resolution;Rectification of hidden dangers module, is used for down Up to security risk rectification scheme, rectification responsible person, rectification time limit;Hidden danger check module, for security risk rectify and improve situation into Row verification and record.
As shown in Figure 1, the present invention provides a kind of hidden danger closed loop management technology based on Internet of Things, big data technology, institute The system of stating includes that hidden danger collection module A1, hidden danger uploading module A2, hidden danger processing module A3, Rectification of hidden dangers modules A 4, hidden danger are multiple Look into modules A 5;
As shown in Figure 2, Figure 3 and Figure 4, security risk closed loop management platform is specifically illustrated, major function is to pass through Internet of Things It is centrally stored that network technology realizes that the security risk from each production subsystem carries out, and passes through closed loop management, it is ensured that each safety Hidden danger implements to specific responsible person, and disposition, measures to rectify and reform and the rectification for the security risk that can follow up in time are as a result, to protect Demonstrate,prove current Safety of Coal Mine Production.
The hidden danger collection module A1 mainly has collection A11 and base of the miner to hidden danger for acquiring security risk data The hidden danger being collected into is imported at hidden danger in collections of the technology of Internet of things A12 to parameters, and by hidden danger uploading module A2 Manage modules A 3;The Control of Hidden scheme and hidden danger shape that hidden danger will be obtained by data analysis, the prediction of hidden danger processing module A3 State, Rectification of hidden dangers responsible person are sent to Rectification of hidden dangers modules A 4, then need to answer hidden danger to implement Rectification of hidden dangers situation It looks into, thus introduces hidden danger and check modules A 5;
The technology of Internet of things A12 is mainly used in the following aspects within coal mines:Trend of Underground Personnel Positioning System, Rubber-tired cart transport monitor system, rail transport monitoring system, mining great key equipment management and control and remote maintenance, coal mine equipment material Expects pipe control etc..The network structure arrangement of Internet of Things preferably uses tree structure, because coal mine down-hole tunnel is branched structure, in tree Shape is arranged;Mine underground cable and optical cable must be laid along tunnel.Consequently, to facilitate system installation maintenance, saving transmission cable With optical cable, reduction system cost, tree structure is preferably used.
The Trend of Underground Personnel Positioning System mainly uses RFID technique, in addition to personnel positions monitoring function, Also has the function of one-way or bi-directional urgent call etc..
The miner depends on coal mine to the safety training of miner, the experience of miner, miner couple to the collection A11 of hidden danger Ability of Hidden Danger etc. etc.;
The hidden danger uploading module A2, miner enter upload hidden danger using transmission terminal in personal information card brush security risk Interface, and security risk type, hidden danger position are selected on interface;When inconsistent with preset hidden danger phenomenon information, then lead to The mode being manually entered is crossed, increases transmission terminal in hidden danger phenomenon typing security risk newly;The terminal according to the time of hidden danger, place, Hidden danger type, hidden danger finder encode according to preset coding mode;If selected hidden danger is general incipient faults, upload Terminal can provide Control of Hidden scheme;If the selected or hidden danger that is manually entered and default hidden danger information are inconsistent, hidden danger is larger More than hidden danger and larger hidden danger, then incipient fault data is imported hidden danger processing module A3 by transmission terminal A2 in hidden danger;
The hidden danger processing module A3, including hidden danger first trial A31, data storage A32, data analysis A33;The hidden danger First trial A31 carries out hidden danger first trial and judges for the hidden danger to importing.
If there is no similar hidden danger in the incipient fault data library imported, which is sent to expert group, by expert Group membership determines the hidden danger, prediction, Control of Hidden scheme and rectification responsible person, and by these content uploadings Data storage A32, safety management system are carried out to database.Rectification of hidden dangers mould is reached under Control of Hidden scheme, rectification person liable Block A4.
The data of the database, which are mainly derived between inside data of enterprise, internet data, coal mining enterprise, to be shared Data, scientific experimental data etc.;
The data analysis A33, by time series models and adaptive neural network to the potential feature of historical data It is excavated, to carry out hidden danger grade separation, prediction to the hidden danger, analyze and obtain Control of Hidden scheme.If the hidden danger is Major hidden danger or the great above hidden danger, database root obtain optimal emergency plan, dispersal plan according to numerical simulation and directly assign To mine intelligent terminal, related personnel's emergency escape is reminded;
Big data is a kind of new method solved the problems, such as based on bulk information, has following features:1. all data of research, Rather than random sample, the data scale of construction are huge.2. the correlativity between research event, rather than causality, it is only necessary to as a result, Reason is not needed.3. research object is various, data type is various, covers number, word, voice, figure, image, from monitoring number According to network log, video, picture, geographical location information etc..It, in a short time can be from various types of numbers 4. processing speed is fast According to the valuable information of middle quick obtaining.Big data is for the purpose of solving the problems, such as, as long as a result, not analyzing original
Cause.Coal and gas prominent, bump, water damage, fire accidents early warning method such as based on big data are only studied Which data variation, it is possible to the accidents such as coal and gas prominent, bump, water damage, fire occur, without study why this A little data variations, it may occur that the accidents such as coal and gas prominent, bump, water damage, fire.
The Rectification of hidden dangers modules A 4, by phone, downhole terminal by production safety Rectification of hidden dangers scheme, under the rectification time limit Reach corresponding department, and specified rectification responsible person;And the files such as rectification scheme, rectification time limit, rectification responsible person are uploaded to Production safety management information system is to make to put on record;
The hidden danger checks modules A 5, is based on security risk closed loop management platform, and rectification responsible person needed in the rectification time limit Inner tissue personnel rectify and improve existing hidden danger.Checking people should be when rectifying and improving time limit cut-off to there are hidden danger to check, will Rectification situation, the result of check pass through mobile intelligent terminal typing Safeguard Management Information System
The mobile intelligent terminal is the intelligent PDA in hidden danger check person's hand, is realized in the form of APP, is inquired for hidden danger And the function of rectification situation is reported, with explosion prevention function.
Transmission terminal can inquire various hidden danger types, Control of Hidden side on above-described intelligent terminal, security risk Case, the occurrence frequency of hidden danger and reason.
In said program, it is based on technology of Internet of things, security risk data are obtained by miner, sensor, and by described The security risk data are sent to the data processing module by hidden danger uploading module;By the secure processing module to peace Full hidden danger carries out data storage, data analysis, is investigated, is predicted to security risk by data mining, hidden danger grade classification With classify and obtain corresponding security risk resolution;It is assigned again by phone, intelligent terminal by Rectification of hidden dangers module hidden Suffer from resolution, rectification time limit and specified rectification responsible person, hidden danger check people should when rectifying and improving time limit cut-off to there are hidden danger into Rectification situation, the result of check are passed through mobile intelligent terminal typing production safety management information system by row check.Pacify in coal mine In full management, by introducing Internet of Things, big data technology can be substantially by Internet of Things transmission platform and big data support platform Degree reduces pollutant in coalmine operation and input cost, improves Mine Safety in Production information system operational efficiency, realizes information money The analysis in source with it is shared, strengthen Safety of Coal Mine Production integration capability, meet the needs of mine of information technology under the new situation. The safety management level of coal mine is can effectively improve, effectively contains the generation of mine safety accidents, is the health hair of coal industry Exhibition provides a strong guarantee.
The basic principles and main features and advantages of the present invention of the present invention have been shown and described above.The technology of the industry Personnel are it should be appreciated that the present invention is not limited to the above embodiments, and the above embodiments and description only describe this The principle of invention, without departing from the spirit and scope of the present invention, various changes and improvements may be made to the invention, these changes Change and improvement all fall within the protetion scope of the claimed invention.The claimed scope of the invention by appended claims and its Equivalent thereof.

Claims (9)

1. a kind of production safety hidden danger closed loop management system, it is characterised in that:Including hidden danger collection module, hidden danger uploading module, Hidden danger processing module, Rectification of hidden dangers module and hidden danger check module, and the hidden danger collection module inputs hidden danger by intelligent terminal Security risk is collected with based on internet of things sensors;The hidden danger uploading module is that the safety in production incipient fault data that will be acquired imports Data analysis is carried out to production safety incipient fault data library, and the data to uploading in real time carry out the module of hidden danger prediction;It is described hidden Suffer from hidden danger of the processing module for institute's typing to carry out classification and provide resolution;The Rectification of hidden dangers module is used Reach corresponding work position under the Rectification of hidden dangers scheme that will keep the safety in production;The hidden danger check module is used for whole to security risk Change situation to carry out verification and record rectification result.
2. production safety hidden danger closed loop management system according to claim 1, it is characterised in that:The hidden danger collection module Instrument be mainly video monitoring, sensor, the sensor includes environmental detection sensor, equipment health status detection sensing Device, miner's behavioral value sensor, gas concentration sensor, top plate movement quantity sensor, sensor of dust concentration, miner's action Identification sensor.
3. production safety hidden danger closed loop management system according to claim 1, it is characterised in that:The hidden danger uploads mould The specifically used of block be:Miner's transmission terminal in the release brush production safety hidden danger of oneself, selection is corresponding on the instrument screen Security risk type, security risk position;When inconsistent with preset hidden danger phenomenon information, then the side by being manually entered Formula increases transmission terminal in hidden danger phenomenon typing security risk newly;The terminal is sent out according to the time of hidden danger, place, hidden danger type, hidden danger Existing people encodes according to preset coding mode.
4. production safety hidden danger closed loop management system according to claim 1, it is characterised in that:The hidden danger uploads mould Block is connected with database, and when the hidden danger of miner's input is general incipient faults, which can show corresponding Control of Hidden scheme simultaneously The hidden danger type that is reported, time, place, hidden danger finder are carried out being uploaded to production safety management information system;If can not It provides corresponding resolution and the data is then uploaded to data center when can not differentiate.
5. production safety hidden danger closed loop management system according to claim 1, it is characterised in that:The hidden danger handles mould Block includes data generation module, data acquisition module, data storage module, data analysis module, wherein data generation module master Transmission terminal in safety in production hidden danger is derived from, data acquisition module derives from the coal mine safety monitoring system based on technology of Internet of things System and miner are to the collection information of hidden danger;The hidden danger processing module is based on big data technology to the incipient fault data that is uploaded Carry out data storage, data analysis;By being compared with the existing hidden danger of database, judges, predicts, hidden danger is classified and classification And obtain corresponding security risk resolution;If not there is no uploaded incipient fault data in database, system can be delivered to Expert group simultaneously assesses the hidden danger by expert group, and will be in hidden danger deposit incipient fault data library;If the incipient fault data uploaded is just Normal state, then hidden danger elimination.
6. production safety hidden danger closed loop management system according to claim 1, it is characterised in that:The production safety hidden danger Mainly there are data mutually shared between inside data of enterprise, internet data, coal mining enterprise in the source of the big data of database With four major class of scientific experimental data, production safety incipient fault data library has been set up;Number wherein inside production safety incipient fault data library According to can automatically update, such as the update of Control of Hidden method, the update of hidden danger type.
7. production safety hidden danger closed loop management system according to claim 1, it is characterised in that:The production safety hidden danger Database carries out the data analysis in data analysis:There are two types of methods for the classification of hidden danger:One is bases with the rectification of hidden danger, controls Reason and the difficulty excluded and its coverage are divided into ordinary accident hidden danger and major accident hidden danger for standard to hidden danger;In addition One is the frequent degree for considering that hidden danger occurs on the basis of the first, to easily occur producing the process of hidden danger, equipment, Personnel, which increase, makes an inspection tour frequency, to reduce the generation of accident;It can be obtained not by classification, the comparison to incipient fault data of keeping the safety in production Same type hidden danger leads to probability, death toll and the accounting of accident.
8. production safety hidden danger closed loop management system according to claim 1, it is characterised in that:The Rectification of hidden dangers mould Block reaches corresponding department by phone, downhole terminal by production safety Rectification of hidden dangers scheme, under the rectification time limit, and specified rectification Responsible person;And the files such as rectification scheme, rectification time limit, rectification responsible person are uploaded into safe production management system to make to put on record.
9. production safety hidden danger closed loop management system according to claim 1, it is characterised in that:The hidden danger checks mould In block, rectification responsible person checks and its checks and accepts to the rectification situation of hidden danger, and the result of check is passed through intelligent mobile end End reports safe production management system, does not rectify and improve such as, then the production link forbids work, until rectification is completed, by giving birth to safely Production management level assign production permit.
CN201810485975.6A 2018-05-21 2018-05-21 A kind of production safety hidden danger closed loop management system Pending CN108717604A (en)

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CN109726832A (en) * 2018-12-28 2019-05-07 安运实驰智能科技(上海)有限公司 Hidden danger and demand for security solution in a kind of railway projects
CN110163651A (en) * 2019-04-12 2019-08-23 深圳市中电数通智慧安全科技股份有限公司 A kind of monitoring administration method, device and terminal device
CN110210989A (en) * 2019-04-16 2019-09-06 山西海德达安全科技发展有限公司 A kind of security risk reporting system and its method
CN110490441A (en) * 2019-08-07 2019-11-22 河北宁纺集团有限责任公司 A kind of crew's security risk investigation method and system
CN110533887A (en) * 2019-08-07 2019-12-03 山东蓝光软件有限公司 A kind of discrete mode method for early warning of coal and gas prominent disaster based on Real-time Monitoring Data, device and storage medium
CN110717731A (en) * 2019-09-30 2020-01-21 江苏斯尔邦石化有限公司 Safety inspection problem tracking closed loop system
CN110837961A (en) * 2019-11-05 2020-02-25 王晗 Safety production accident hidden danger investigation management system of thermal power plant
CN112288282A (en) * 2020-10-30 2021-01-29 锐创软件技术(启东)有限公司 Safety production supervision and management system and management method thereof
CN112418728A (en) * 2020-12-11 2021-02-26 中国华能集团有限公司 Potential safety hazard rectification method and device
CN112651644A (en) * 2020-12-28 2021-04-13 重庆大学 Bridge potential safety hazard troubleshooting informatization management system and application method thereof
CN112785474A (en) * 2021-01-28 2021-05-11 深圳博沃智慧科技有限公司 Potential safety hazard supervision method, device and equipment
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CN114065885A (en) * 2021-10-29 2022-02-18 中海油天津化工研究设计院有限公司 Explosion-proof electrical equipment inspection, modification and traceable system based on explosion-proof RFID label
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CN110717731A (en) * 2019-09-30 2020-01-21 江苏斯尔邦石化有限公司 Safety inspection problem tracking closed loop system
CN110837961A (en) * 2019-11-05 2020-02-25 王晗 Safety production accident hidden danger investigation management system of thermal power plant
CN112288282A (en) * 2020-10-30 2021-01-29 锐创软件技术(启东)有限公司 Safety production supervision and management system and management method thereof
CN112418728A (en) * 2020-12-11 2021-02-26 中国华能集团有限公司 Potential safety hazard rectification method and device
CN112418728B (en) * 2020-12-11 2023-06-30 中国华能集团有限公司 Potential safety hazard correction method and device
CN112651644A (en) * 2020-12-28 2021-04-13 重庆大学 Bridge potential safety hazard troubleshooting informatization management system and application method thereof
CN112785474A (en) * 2021-01-28 2021-05-11 深圳博沃智慧科技有限公司 Potential safety hazard supervision method, device and equipment
CN113487145A (en) * 2021-06-16 2021-10-08 中国安全生产科学研究院 Mine production potential safety hazard control method and device and electronic equipment
CN114065885A (en) * 2021-10-29 2022-02-18 中海油天津化工研究设计院有限公司 Explosion-proof electrical equipment inspection, modification and traceable system based on explosion-proof RFID label
CN117422425A (en) * 2023-12-18 2024-01-19 国网浙江省电力有限公司宁波供电公司 On-site potential safety hazard management method and system based on instant messaging
CN117422425B (en) * 2023-12-18 2024-04-30 国网浙江省电力有限公司宁波供电公司 On-site potential safety hazard management method and system based on instant messaging

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