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CN-122023089-A - Big data information platform for auxiliary safety supervision and construction method thereof

CN122023089ACN 122023089 ACN122023089 ACN 122023089ACN-122023089-A

Abstract

The invention discloses a big data information platform for auxiliary safety supervision and a construction method thereof, relating to the technical field of big data information, and the big data information platform for auxiliary safety supervision comprises at least one processor; and at least one memory storing computer program instructions that, when executed by the processor, cause the platform to perform functions of a hidden danger database module for storing a plurality of hidden danger data items customized via a safety specialist, each item including at least a hidden danger problem description, a hidden danger level, legal and standard basis, a professional revision suggestion, and an excellent revision case reference. The invention constructs an intelligent, efficient, collaborative and closed-loop modern safety supervision information platform through a series of innovative module design and flow reconstruction, effectively solves a plurality of pain points in the prior art, and has extremely high practical value and popularization prospect.

Inventors

  • YU ZUOBIAO
  • Yu Yimo

Assignees

  • 余作彪

Dates

Publication Date
20260512
Application Date
20251231

Claims (10)

  1. 1. A big data information platform for assisting in security supervision, comprising: at least one processor, and At least one memory storing computer program instructions; the computer program instructions, when executed by the processor, cause the platform to perform the functions of: The hidden danger database module is used for storing a plurality of hidden danger data items customized by safety specialists, and each item at least comprises hidden danger problem description, hidden danger level, legal regulations and standard basis, professional correction suggestion, excellent correction case reference, possible accident risk category and correction resource sharing link, and the limitation of the region and industry application scope is set according to the legal regulations and standard basis; A multi-operator interface module for providing four different types of operator interfaces at government, enterprise, consultation and citizen ends, the operator interfaces configured to receive user input in the form of client applications or web pages; The intelligent matching and report generating module is configured to respond to a field potential safety hazard searching request received through any operation interface, wherein the request comprises a keyword or a field picture, perform matching searching based on the potential safety hazard database module and automatically generate an inspection report, a working suggestion or a service record containing the matched potential safety hazard data item content; a mark transfer module configured to send the generated inspection report, work advice or service record to the inspected party by means of a mark-detectable electronic means; the basic information base module is used for storing enterprise public basic information acquired or uploaded by the government end, the enterprise end and the consultation mechanism end in the operation process, wherein the basic information at least comprises enterprise names, addresses, responsible persons and contact ways, classifies according to the attribution and industry, and conceals or encrypts the acquired partial sensitive information; The basic information updating and maintaining module is configured to compare the new information with the existing information in the basic information library when the new information is acquired, and send out a prompt when the high coincidence is detected; the closed loop rechecking module is configured to provide a rectifying and reporting channel for the problem items found in the inspection, and allow a user with authority to recheck the reported rectifying and reporting information, wherein the rechecking result comprises passing or overruling; The information release and contact module is configured to automatically generate a contact person list and a group (encrypt or hide sensitive information) according to the information in the basic information base module and the place and industry, and allow a supervision unit with authority to send early warning information, important matters or notices to a designated group in batches; And the team, project construction and authority autonomous construction distribution module utilizes a team member approval mechanism, each operator can construct and perfect the affiliated team by itself, formulate a work project, upload and select the supervision authority of the team by itself, and directly endow an unclaimed supervision authority with a higher authority account.
  2. 2. The big data information platform of claim 1, wherein the updating mechanism of the hidden danger database module comprises: setting a hidden danger fault reporting mechanism, a standard batch fault reporting mechanism, a missing item base spam recording mechanism and a field operator revision item recording and comparison mechanism; Responding to error reporting information aiming at a specific hidden danger data item received through any operation end, and routing the error reporting information to a professional maintenance end for revision examination; After the verification is passed, updating the hidden danger database module by using the revised hidden danger data item; For hidden trouble problems which are not collected yet, a basic bottom-holding option is established. Once the field staff uses the option to add the content, the content is recorded immediately, and the recorded information is routed to a professional maintenance end for perfect supplement; For the collected hidden danger data items, platform operators find that partial non-conforming content still exists with the site in the use process, the modification can be carried out on the site, once the modification action is generated, the hidden danger data items are immediately recorded, and the recorded information is routed to a professional maintenance end for verification and timely and perfect supplementation.
  3. 3. The big data information platform of claim 1, wherein the functionality provided by the multi-operation interface module comprises: The government end, the consultation mechanism end and the enterprise end all have the functions of on-site checking service, statistics and summarization, information release, automatic working report compiling, correction and ring condition rechecking and information selective reporting; The citizen terminal has the functions of on-site checking service and prize-giving reporting; And finally summarizing the data generated by all the operation terminals to the government terminal for unified management according to the preset authority.
  4. 4. The big data information platform of claim 1, wherein the specific manner of performing the matching search by the intelligent matching and report generating module comprises: Analyzing keywords input by a user through natural language processing technology, performing semantic matching with problem description and category in a hidden danger database, and/or And processing the field picture uploaded by the user through the image recognition model, recognizing the potential safety hazard characteristics in the picture, and matching with the potential safety hazard data items associated with the picture characteristics.
  5. 5. Big data information platform according to claim 1, characterized in that the functionality of the platform further comprises a cheap/civilized supervision module, in particular configured to: embedding a cheap/civilized supervision reporting link in an inspection report/opinion/record page sent to an inspected party through the mark-remaining transfer module; And responding to the report information which is submitted by the user through the link and contains evidence, and directly transmitting the report information to a designated supervision department.
  6. 6. The big data information platform of claim 1, wherein the functionality of the platform further comprises a security awareness intelligence judgment module configured to: and carrying out intelligent grading on the safety awareness intensity of the monitored unit through a preset algorithm model, wherein the input parameters of the algorithm model at least comprise a plurality of items of hidden danger correction rate, accident occurrence rate, monitoring work coordination degree and major/major fire hidden danger judging quantity of the unit.
  7. 7. The big data information platform according to claim 1, wherein the functions of the platform further comprise a brief intelligent writing module, a major fire hazard intelligent comprehensive judging module and a safety supervision auxiliary reference module; the briefing intelligent writing module is configured to: Based on a pre-stored working presentation database and a fixed format; Automatically generating a complete work brief through artificial intelligence analysis in response to key information input by a user and a selected format; the intelligent comprehensive judgment module for the major fire hazard is based on the number and content requirements of prestored major fire hazard judgment criteria; forming an intelligent algorithm according to the number and the content requirements of the judging criteria, and intelligently implementing comprehensive judgment of major fire hazards; the security administration assistance reference module is configured to: Setting a quick retrieval function of dangerous chemicals, importing a dangerous chemical directory for quickly judging the properties of the chemicals in the checking process, and giving corresponding guidance comments; setting a quick retrieval function of special equipment, importing a special equipment directory for assisting safety supervision personnel in judging equipment types and giving corresponding guidance comments; setting a quick retrieval function of the strong-inspection metering instrument, importing a strong-inspection metering instrument directory for assisting safety supervision personnel in determining the strong-inspection metering instrument and giving corresponding guiding comments; Setting a quick retrieval function of the fire resistance of the material, importing a common decorative material fire resistance directory for assisting safety supervision personnel in judging the fire resistance of the material and giving corresponding guidance comments; The quick search function of the fire-fighting acceptance inspection enterprises in the special places is set for assisting safety supervision personnel in judging whether the inspected places meet acceptance standards or not and giving corresponding guidance comments.
  8. 8. The big data information platform of claim 1, wherein the functionality of the platform further comprises a geographic information and planning module configured to: integrating electronic map service, and positioning in real time when entering point location basic information; Providing a work plan interface, receiving a plurality of points to be serviced input by a user, and automatically sequencing the points to be serviced and planning an optimal route; The intelligent co-connection of multiple departments automatically and reasonably plans daily, weekly, monthly, quaternary and annual plans are set for each supervision unit, and multiple supervision units supervise the supervision work needing to be carried out by the same unit in the same time period and communicate in series, so that joint supervision is executed.
  9. 9. A method for building a big data information platform according to any of the claims 1-8, characterized by the steps of: The hidden danger database construction step, namely collecting and summarizing actual hidden danger problems customized by industry safety specialists and technicians through the technical means of combining actual problem collection with legal regulations and special customization of industry standard content in the daily working process to form a professional hidden danger basic information base comprising hidden danger problem description, grade, basis, correction suggestion, correction case reference, possibly accident risk category and correction resource sharing link; setting and deploying four operation end interfaces of a government end, an enterprise end, a consultation mechanism end and a citizen end, and distributing different operation authorities and functions for the four operation end interfaces; the basic information base construction step, namely collecting enterprise public information through each operation end in the monitoring process, forming a basic information base after duplication removal and classification, and automatically assembling to form a group or a list according to the types of the places and industries; The intelligent matching flow step, the configuration system responds to the search request of the operation end, automatically matches information from the hidden danger database and generates a report; and updating and maintaining the flow, namely configuring four updating mechanisms such as error reporting and checking for the hidden danger database, and configuring a forced confirmation updating mechanism and a long-term inactive alarming mechanism for the basic information database.
  10. 10. A computer-readable storage medium, on which computer program instructions are stored which, when executed by a processor, implement the steps of the method for building a big data information platform as claimed in claim 9.

Description

Big data information platform for auxiliary safety supervision and construction method thereof Technical Field The invention relates to the technical field of big data information, in particular to a big data information platform for auxiliary safety supervision and a construction method thereof. Background In the process of high-quality development of economy and society, the requirements of various safety supervision works such as safety production, road traffic safety, food safety, environmental protection safety and the like are increasingly improved. Currently, most of existing safety supervision system platforms are based on the fact that potential safety hazard problems possibly existing in the field are reversely deduced and identified from laws and regulations of national industry standards. This build logic exposes a series of drawbacks in practical use that need to be addressed: First, the platform is intelligent and humanized. The existing system relies heavily on the expertise and experience of operators to understand and apply complex regulatory regulations to determine whether field conditions constitute a safety hazard. For basic staff or common people with insufficient professionals, the system is difficult to effectively use and cannot be popularized. Meanwhile, the platform only informs that problems exist, and lacks auxiliary decision functions such as classification of the problems, improvement suggestion provision, excellent case reference and the like and auxiliary improvement measures such as improvement resource link sharing and the like, so that the improvement efficiency is low. Second, the system is narrow in use and the problem of data islanding is serious. The existing platform is mainly used for government supervision departments and large enterprises and public institutions, and professional safety consultation institutions and the public society cannot be brought into the system. This results in the inability of professionals to aggregate, report and dispose of security risks found in everyday life by the masses during service. In addition, the data among all departments and systems are not common, the phenomenon of repeated information acquisition is prominent, and an intelligent duplicate removal and auditing mechanism is lacked, so that the data redundancy, the workload is large and the data accuracy is difficult to guarantee. Thirdly, the information updating and maintaining mechanism is behind. Basic data (such as law and regulation basis, enterprise contact information and the like) in the platform is slowly updated, and a flexible and long-acting error reporting and real-time updating mechanism is lacked. The data updating flow and the actual workflow are split, and the data updating flow and the actual workflow are often dependent on regular special maintenance, so that the data are stale and invalid. For the enterprise point positions which are shut down and addressed, the system cannot automatically identify and clear, so that the database is increasingly bulked, and the effective information density is reduced. Fourth, the workflow has a closed loop deficiency. The existing platform usually only pays attention to the checking link, the rectifying and modifying loop of the problem item is uploaded by enterprises at will, the key step of on-site rechecking by supervisory personnel is lacking, and the requirement of the safety management on the loop is not met. The on-site guidance service mostly adopts traditional modes such as two-dimensional codes to transmit information, and once missing, the information is lost, and the operation is tedious and unreliable. Fifth, there is a lack of effective supervision and incentive mechanisms. The existing system lacks an effective low-quality, civilized and service quality supervision mechanism for the behavior of the supervision personnel. Meanwhile, motivation measures for mobilizing the active participation of enterprises and people in safety management, such as an effective prize-giving reporting mechanism, are lacking. The current critical period of the burden reduction of the basic layer with positive values, but the problems cause the basic layer security staff to sink into a large number of repeated and invalid works, thereby further aggravating the basic layer burden. Therefore, a novel big data information platform is urgently needed, the four-way force can be integrated, intelligent auxiliary decision making is achieved, dynamic data updating and closed-loop management are achieved, and therefore safety supervision efficiency and effectiveness are comprehensively improved. Disclosure of Invention The invention aims to provide a big data information platform for auxiliary safety supervision and a construction method thereof, which can construct an intelligent information platform for professional and non-professional staff, reduce the use threshold through a professional hidden danger database, intelligent matching