Hidden danger management method and system based on regulatory standards

Abstract

The embodiment of the present invention relates to the field of safety detection technology, and discloses a hidden danger management method based on laws and regulations, including: receiving hidden danger information input by a user, and performing information disassembly on the hidden danger information; performing semantic recognition on the hidden danger information to determine the semantic recognition results associated with the hidden danger information; comparing the hidden danger information with a pre-built legal and regulatory standards library based on keyword information and semantic recognition results to determine the legal and regulatory content associated with the corresponding hidden danger information; and performing data association between the hidden danger information and the associated legal and regulatory content. The hidden danger management method based on laws and regulations in the embodiment of the present invention disassembles and identifies the hidden danger information input by the user to determine the text description of the hidden danger currently detected, and then accurately matches it with the legal and regulatory standards library to determine the corresponding legal and regulatory standards, which greatly improves the user's professionalism in the hidden danger description and makes the hidden danger definition more authoritative.

Description

Technical Field

[0001] The present invention relates to the field of safety detection technology, and in particular to a hidden danger management method and system based on regulatory standards. Background Art

[0002] At present, the main means of troubleshooting safety hazards is to manually check key equipment regularly and repair or replace them when problems are found. However, manual troubleshooting of safety hazards may lead to omissions and fail to find safety hazards in time. In addition, some hidden dangers cannot be accurately described, and some key hidden dangers are ignored, which fails to achieve the purpose of effective hidden danger troubleshooting. Therefore, designing a solution that can effectively manage hidden danger troubleshooting has become a technical problem that needs to be solved urgently by those skilled in the art. Summary of the invention

[0003] In view of the above-mentioned defects, an embodiment of the present invention discloses a hidden danger management method based on regulatory standards, which can realize rapid and standardized processing of hidden danger events.

[0004] The first aspect of the embodiment of the present invention discloses a hidden danger management method based on regulatory standards, including:

[0005] Receiving hidden danger information input by a user, and performing information disassembly on the hidden danger information to obtain disassembled hidden danger disassembly information; wherein the hidden danger disassembly information includes keyword information;

[0006] Performing semantic recognition on the hidden danger information to determine a semantic recognition result associated with the hidden danger information;

[0007] Compare the keyword information and semantic recognition results with a pre-built legal and regulatory standard library to determine the legal and regulatory content associated with the corresponding hidden danger information;

[0008] Data association is performed on the hidden danger information and the related laws and regulations.

[0009] As an optional implementation manner, in the first aspect of the embodiment of the present invention, after the data association is performed on the hidden danger information and the associated legal and regulatory content, the method further includes:

[0010] Reorganizing the hidden danger information based on the associated legal and regulatory content to generate new hidden danger information, and outputting and displaying the new hidden danger information;

[0011] The legal and regulatory standards database is a structured legal and regulatory database.

[0012] As an optional implementation manner, in the first aspect of the embodiment of the present invention, the hidden danger information also includes image information;

[0013] After performing semantic recognition on the hidden danger information to determine a semantic recognition result associated with the hidden danger information, the method further includes:

[0014] Inputting the image information into a preset device model for matching to identify corresponding device feature information;

[0015] Inputting the device characteristic information into the hidden danger model for identification to determine the hidden danger result;

[0016] The image information, hidden danger results, hidden danger information and timestamp information are data associated.

[0017] As an optional implementation manner, in the first aspect of the embodiment of the present invention, the step of disassembling the hidden danger information to obtain disassembled hidden danger disassembly information includes:

[0018] Extracting words from the hidden danger information based on a keyword extraction model to obtain keyword information;

[0019] After performing semantic recognition on the hidden danger information to determine a semantic recognition result associated with the hidden danger information, the method further includes:

[0020] Performing semantic matching based on the semantic recognition result and the keyword information to determine a matching result between the two, and when the matching result reaches a set value, constructing a hidden danger description information group based on the semantic recognition result and the keyword information;

[0021] Based on the hidden danger description information group, the legal and regulatory contents related thereto are obtained.

[0022] As an optional implementation manner, in the first aspect of the embodiment of the present invention, the hidden danger management method further includes:

[0023] Receive the troubleshooting list issued by the corresponding regulatory end; different regulatory ends are configured with different troubleshooting lists;

[0024] Based on the troubleshooting table, status detection is performed on each device and each scene to determine actual status information of each device and each scene;

[0025] Based on the actual status information, data of each item in the item checking table is updated to complete the item checking.

[0026] As an optional implementation manner, in the first aspect of the embodiment of the present invention, after the semantic recognition of the hidden danger information is performed to determine the semantic recognition result associated with the hidden danger information, the method further includes:

[0027] Determine the corresponding detection field through the semantic recognition result and keyword information, and determine the update time information of the corresponding regulatory content in the legal and regulatory standards library based on the detection field;

[0028] If the update time information is inconsistent with the update time of the latest regulations, then update the corresponding regulations in the legal and regulatory standards library according to the latest regulations;

[0029] The hidden danger management method also includes:

[0030] Construct a hidden danger troubleshooting table according to actual needs of users to determine the first hidden danger troubleshooting table;

[0031] Publishing the first hidden danger troubleshooting table to the hidden danger troubleshooting database in a shared manner so that other users can obtain the corresponding troubleshooting table in the hidden danger troubleshooting database;

[0032] receiving the usage quantity and evaluation result information of the first hidden danger troubleshooting table by other users; and determining the evaluation index according to the set evaluation mechanism based on the usage quantity and evaluation result information;

[0033] The evaluation index is associated with the first hidden danger investigation table and stored.

[0034] As an optional implementation, in the first aspect of the embodiment of the present invention, after the evaluation index is associated with the first hidden danger troubleshooting table and stored, the following further includes:

[0035] Performing data screening on the first hidden danger troubleshooting table to determine enterprise portrait parameters associated with the first hidden danger troubleshooting table, and associating the enterprise portrait parameters with the first hidden danger troubleshooting table for storage;

[0036] The hidden danger management method further includes:

[0037] Acquire enterprise information associated with the user, and acquire enterprise portrait information associated with the enterprise information based on the enterprise information;

[0038] A data comparison is performed based on the enterprise portrait information and a hidden danger investigation database to determine a hidden danger investigation table associated with the enterprise portrait information.

[0039] A second aspect of an embodiment of the present invention discloses a hidden danger management system based on regulatory standards, including:

[0040] Receiving module: used for receiving hidden danger information input by the user, and disassembling the hidden danger information to obtain disassembled hidden danger disassembly information;

[0041] Identification module: used for performing semantic identification on the hidden danger information to determine a semantic identification result associated with the hidden danger information;

[0042] Matching module: used to compare the hidden danger disassembly information and semantic recognition results with the pre-built legal and regulatory standards library to determine the legal and regulatory content associated with the corresponding hidden danger information;

[0043] Display module: used to display the hidden danger information and related laws and regulations.

[0044] The third aspect of an embodiment of the present invention discloses an electronic device, comprising: a memory storing executable program code; a processor coupled to the memory; the processor calls the executable program code stored in the memory to execute the hidden danger management method based on regulatory standards disclosed in the first aspect of the embodiment of the present invention.

[0045] A fourth aspect of an embodiment of the present invention discloses a computer-readable storage medium storing a computer program, wherein the computer program enables a computer to execute the hidden danger management method based on regulatory standards disclosed in the first aspect of an embodiment of the present invention.

[0046] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0047] The hidden danger management method based on regulatory standards in the embodiment of the present invention disassembles and identifies the hidden danger information input by the user to determine the text description of the currently detected hidden danger, and then accurately matches it with the legal and regulatory standards library to determine the corresponding regulatory standards, which greatly improves the user's professionalism in the hidden danger description and makes the hidden danger definition more authoritative. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0049] Figure 1 It is a flowchart of a hidden danger management method based on regulatory standards disclosed in an embodiment of the present invention;

[0050] Figure 2 is a schematic diagram of a process for associating image information disclosed in an embodiment of the present invention;

[0051] Figure 3 It is a schematic diagram of a process for updating regulatory content disclosed in an embodiment of the present invention;

[0052] Figure 4 It is a schematic diagram of a process for constructing and evaluating a hidden danger troubleshooting table disclosed in an embodiment of the present invention;

[0053] Figure 5 It is a structural diagram of a hidden danger management system based on regulatory standards provided by an embodiment of the present invention;

[0054] Figure 6 It is a structural schematic diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0055] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0056] It should be noted that the terms "first", "second", "third", "fourth", etc. in the specification and claims of the present invention are used to distinguish different objects rather than to describe a specific order. The terms "including" and "having" in the embodiments of the present invention and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device including a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0057] The main means of troubleshooting safety hazards is to manually check key equipment regularly and repair or replace them when problems are found. However, manual troubleshooting of safety hazards may result in omissions and fail to detect safety hazards in a timely manner. In addition, some hidden dangers cannot be accurately described, and some key hidden dangers are ignored, which fails to achieve the purpose of effectively troubleshooting hidden dangers. Based on this, the embodiment of the present invention discloses a hidden danger management method, system, electronic device and storage medium based on regulatory standards, which disassembles and identifies the hidden danger information input by the user to determine the text description of the currently detected hidden danger, and then accurately matches it with the legal and regulatory standard library to determine the corresponding regulatory standards, which greatly improves the user's professionalism in describing hidden dangers and makes the hidden danger definition more authoritative.

[0058] Embodiment 1

[0059] See also Figure 1 , Figure 1It is a flow chart of the hidden danger management method based on regulatory standards disclosed in the embodiment of the present invention. Among them, the execution subject of the method described in the embodiment of the present invention is an execution subject composed of software and / or hardware, and the execution subject can receive relevant information by wired or / and wireless means, and can send certain instructions. Of course, it can also have certain processing functions and storage functions. The execution subject can control multiple devices, such as a remote physical server or cloud server and related software, or it can be a local host or server and related software that performs related operations on a device placed somewhere. In some scenarios, multiple storage devices can also be controlled, and the storage devices can be placed in the same place or different places as the devices. For example Figure 1 As shown, the hazard management method based on regulatory standards includes the following steps:

[0060] S101: receiving hidden danger information input by a user, and performing information disassembly on the hidden danger information to obtain disassembled hidden danger disassembly information; wherein the hidden danger disassembly information includes keyword information;

[0061] S102: performing semantic recognition on the hidden danger information to determine a semantic recognition result associated with the hidden danger information;

[0062] S103: comparing the keyword information and semantic recognition results with a pre-built legal and regulatory standard library to determine the legal and regulatory content associated with the corresponding hidden danger information;

[0063] S104: Perform data association on the hidden danger information and the related laws and regulations.

[0064] When carrying out specific implementation, it is necessary to first establish a standardized and structured database of commonly used regulations. Only after all regulations are standardized and structured, can further data matching be carried out after subsequent matching. When carrying out specific implementation, by associating specific regulations, other users can have a deeper and more specific understanding of specific hidden dangers.

[0065] It matches the relevant regulations and standards with the requirements related to the hazard based on the hazard description information. During implementation, the main implementation method is to achieve accurate matching and real-time display of the regulations and standards clauses retrieved based on keywords through text decomposition, term matching, semantic understanding and the industry field of the enterprise. The above methods can make the hazard description more professional and the hazard definition more authoritative.

[0066] More preferably, after the data association of the hidden danger information and the related laws and regulations is performed, the method further includes:

[0067] Reorganizing the hidden danger information based on the associated legal and regulatory content to generate new hidden danger information, and outputting and displaying the new hidden danger information;

[0068] The legal and regulatory standards database is a structured legal and regulatory database.

[0069] In actual processing, in order to make the hidden danger description more in line with actual needs, the corresponding laws and regulations are combined to generate specific information content when the description is generated; and the legal and regulatory databases here are also structured legal and regulatory databases, so that when performing specific information association, more specific clauses can be associated. If only information association is performed, a more comprehensive hidden danger description cannot be achieved; therefore, in the embodiment of the present invention, the corresponding hidden dangers are accurately described through the legal and regulatory content.

[0070] The above method allows users to describe hidden dangers without having to make particularly professional descriptions, but only describe the situations that have occurred. A more professional description is performed through the method of the embodiment of the present invention, which greatly improves the convenience of enterprises in conducting investigations, thereby increasing the enthusiasm of enterprises in conducting investigations and reducing the risks of hidden dangers in enterprises.

[0071] More preferably, the hidden danger information also includes image information;

[0072] Figure 2 is a schematic diagram of a process for associating image information disclosed in an embodiment of the present invention, such as Figure 2 As shown, after the semantic recognition of the hidden danger information is performed to determine the semantic recognition result associated with the hidden danger information, the method further includes:

[0073] S103a: inputting the image information into a preset device model for matching to identify corresponding device feature information;

[0074] S103b: inputting the device characteristic information into the hidden danger model for identification to determine the hidden danger result;

[0075] S103c: Data association is performed on the image information, the hidden danger result, the hidden danger information and the timestamp information.

[0076] If we rely solely on text descriptions, there will be some problems with credibility. Therefore, when carrying out specific implementation, we can also combine image information to assist in the credentials, and determine the corresponding credential upload time based on the timestamp information, so that the corresponding time information is difficult to tamper with, which is convenient for subsequent tracing.

[0077] More preferably, the step of disassembling the hidden danger information to obtain disassembled hidden danger disassembly information includes:

[0078] Extracting words from the hidden danger information based on a keyword extraction model to obtain keyword information;

[0079] After performing semantic recognition on the hidden danger information to determine a semantic recognition result associated with the hidden danger information, the method further includes:

[0080] Performing semantic matching based on the semantic recognition result and the keyword information to determine a matching result between the two, and when the matching result reaches a set value, constructing a hidden danger description information group based on the semantic recognition result and the keyword information;

[0081] Based on the hidden danger description information group, the legal and regulatory contents related thereto are obtained.

[0082] The above steps are a specific regulation matching process, which matches the corresponding legal and regulatory content by combining hidden danger information into hidden danger description information groups, that is, multiple keywords or semantic understanding words to form a keyword combination; when carrying out specific implementation, not only a single keyword can be used for specific content matching, but multiple keywords can also be combined for content matching; even keywords can be used as one matching condition and semantic understanding words as another matching condition for comprehensive matching, thereby making the final match more accurate.

[0083] More preferably, the hidden danger management method further includes:

[0084] Receive the troubleshooting list issued by the corresponding regulatory end; different regulatory ends are configured with different troubleshooting lists;

[0085] Based on the troubleshooting table, status detection is performed on each device and each scene to determine actual status information of each device and each scene;

[0086] Based on the actual status information, data of each item in the item checking table is updated to complete the item checking.

[0087] Different regulatory agencies have different investigation lists, and there are some differences in the investigation items they focus on. In specific implementation, different regulatory agencies can issue different investigation lists. The regulatory agencies can help enterprises discover "unexpected, not done, and wrong" production safety hazards by providing expert-level hidden danger investigation guidance, thereby improving the professionalism of enterprise hidden danger investigation; and enterprises will report the accident hazards discovered during the investigation, and use strategies to ensure the reliability and non-tamperability of the reported accident hazards. Through the above methods, if major accident hazards are discovered during law enforcement inspections, the related enterprises can reduce or exempt administrative penalties by self-checking the hidden danger certificates.

[0088] More preferably, Figure 3 is a flow chart of updating the content of regulations disclosed in the embodiment of the present invention, such as Figure 3 As shown, after the semantic recognition of the hidden danger information is performed to determine the semantic recognition result associated with the hidden danger information, the method further includes:

[0089] S105: determining a corresponding detection field through the semantic recognition result and the keyword information, and determining the update time information of the corresponding regulatory content in the legal and regulatory standards library based on the detection field;

[0090] S106: If the update time information is inconsistent with the update time of the current latest regulations, then update the corresponding regulations in the legal and regulatory standards library according to the current latest regulations;

[0091] The above are specific updated contents. In order to ensure the accuracy of the matching results, the corresponding legal and regulatory contents must also be the latest contents, so that corresponding reminders can be made in accordance with the latest standard requirements; and the missed judgments due to untimely updates of laws and regulations can be prevented.

[0092] Figure 4 is a schematic diagram of the process of constructing and evaluating a hidden danger troubleshooting table disclosed in an embodiment of the present invention, such as Figure 4 As shown, the hidden danger management method also includes:

[0093] S100a: constructing a hidden danger troubleshooting table according to actual needs of the user to determine a first hidden danger troubleshooting table;

[0094] S100b: publishing the first hidden danger troubleshooting table to the hidden danger troubleshooting database in a shared manner so that other users can obtain the corresponding troubleshooting table in the hidden danger troubleshooting database;

[0095] S100c: receiving the usage number and evaluation result information of the first hidden danger troubleshooting table by other users; and determining the evaluation index according to the set evaluation mechanism based on the usage number and evaluation result information;

[0096] S100d: The evaluation index is associated with the first hidden danger investigation table and stored.

[0097] During the specific implementation, each enterprise user can compile a corresponding hidden danger checklist according to their own needs; this can maximize the autonomy of each enterprise and facilitate later inspection and optimization. During the specific implementation, the checklists uploaded by the enterprise can be shared with all other similar enterprises. Then, during the specific implementation, the usage of each checklist and the corresponding evaluation content can be determined. Combining the usage and evaluation content can achieve the evaluation of the full range of checklists. During the use of the checklist, the user can choose an existing checklist on the one hand, and expand the new checklist on the other hand to improve the comprehensiveness of the checklist; greatly facilitating the use of each user in the system.

[0098] More preferably, after the evaluation index is associated with the first hidden danger troubleshooting table and stored, the method further includes:

[0099] Performing data screening on the first hidden danger troubleshooting table to determine enterprise portrait parameters associated with the first hidden danger troubleshooting table, and associating the enterprise portrait parameters with the first hidden danger troubleshooting table for storage;

[0100] During the specific implementation, different enterprise portrait parameters can be associated with different checklists. This will add more dimensions to the corresponding checklists for users to choose from, and will also enable more convenient and quick information push to corresponding enterprise users based on the corresponding portrait parameters.

[0101] The hidden danger management method further includes:

[0102] Acquire enterprise information associated with the user, and acquire enterprise portrait information associated with the enterprise information based on the enterprise information;

[0103] A data comparison is performed based on the enterprise portrait information and a hidden danger investigation database to determine a hidden danger investigation table associated with the enterprise portrait information.

[0104] The enterprise portrait information here can be related to a specific field, or it can be related to information in multiple dimensions such as volume, number of equipment, management personnel, administrative region, etc. This can make the final parameter combination richer and facilitate more accurate hidden danger investigation and matching.

[0105] During the specific implementation, corporate portraits of various companies are constructed based on historical data; data matching can be combined with the checklist and corporate portrait to achieve rapid screening of specific companies; during implementation, different portrait groups can be set up for different companies; a more efficient screening list can be accurately determined based on the historical screening data of a specific company; the above methods can achieve more comprehensive user information association, and can also provide richer information dimensions through different types of information combinations; in this way, when more excellent checklists appear in different fields, they can be combined with different corporate portraits for multi-faceted matching references, which can provide more diverse information references for different fields.

[0106] The hidden danger management method based on regulatory standards in the embodiment of the present invention disassembles and identifies the hidden danger information input by the user to determine the text description of the currently detected hidden danger, and then accurately matches it with the legal and regulatory standards library to determine the corresponding regulatory standards, which greatly improves the user's professionalism in the hidden danger description and makes the hidden danger definition more authoritative.

[0107] Embodiment 2

[0108] See also Figure 5 , Figure 5 Schematic diagram of the structure of the hidden danger management system based on regulatory standards disclosed in the embodiment of the present invention. Figure 5 As shown, the hazard management system based on regulatory standards may include:

[0109] The receiving module 21 is used to receive the hidden danger information input by the user, and to decompose the hidden danger information to obtain decomposed hidden danger decomposition information;

[0110] Identification module 22: used for performing semantic identification on the hidden danger information to determine a semantic identification result associated with the hidden danger information;

[0111] Matching module 23: used to compare the hidden danger disassembly information and semantic recognition results with the pre-built legal and regulatory standards library to determine the legal and regulatory content associated with the corresponding hidden danger information;

[0112] Display module 24: used to display the hidden danger information and related laws and regulations.

[0113] The hidden danger management method based on regulatory standards in the embodiment of the present invention disassembles and identifies the hidden danger information input by the user to determine the text description of the currently detected hidden danger, and then accurately matches it with the legal and regulatory standards library to determine the corresponding regulatory standards, which greatly improves the user's professionalism in the hidden danger description and makes the hidden danger definition more authoritative.

[0114] Embodiment 3

[0115] See also Figure 6 , Figure 6 Schematic diagram of the structure of an electronic device disclosed in an embodiment of the present invention. The electronic device may be a computer, a server, etc. Of course, in certain circumstances, it may also be a smart device such as a mobile phone, a tablet computer, a monitoring terminal, and an image acquisition device with processing functions. Figure 6 As shown, the electronic device may include:

[0116] A memory 510 storing executable program codes;

[0117] a processor 520 coupled to the memory 510;

[0118] The processor 520 calls the executable program code stored in the memory 510 to execute part or all of the steps in the hidden danger management method based on regulatory standards in the first embodiment.

[0119] An embodiment of the present invention discloses a computer-readable storage medium storing a computer program, wherein the computer program enables a computer to execute part or all of the steps in the hidden danger management method based on regulatory standards in the first embodiment.

[0120] The embodiment of the present invention further discloses a computer program product, wherein when the computer program product is run on a computer, the computer is enabled to execute part or all of the steps in the hidden danger management method based on regulatory standards in the first embodiment.

[0121] An embodiment of the present invention further discloses an application publishing platform, wherein the application publishing platform is used to publish a computer program product, wherein when the computer program product runs on a computer, the computer executes part or all of the steps in the hidden danger management method based on regulatory standards in embodiment one.

[0122] In various embodiments of the present invention, it should be understood that the size of the serial numbers of the processes does not necessarily mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0123] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, i.e., they may be located in one place or distributed over multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0124] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0125] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-accessible memory. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product, which is stored in a memory and includes several requests for a computer device (which can be a personal computer, a server or a network device, etc., specifically a processor in a computer device) to perform some or all of the steps of the method described in each embodiment of the present invention.

[0126] In the embodiments provided by the present invention, it should be understood that "B corresponding to A" means that B is associated with A, and B can be determined according to A. However, it should also be understood that determining B according to A does not mean determining B only according to A, and B can also be determined according to A and / or other information.

[0127] A person of ordinary skill in the art can understand that some or all of the steps in the various methods of the embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium, and the storage medium includes a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable rewritable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0128] The above is a detailed introduction to the hidden danger management method, system, electronic device and storage medium based on regulatory standards disclosed in the embodiments of the present invention. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; at the same time, for general technical personnel in this field, according to the idea of ​​the present invention, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A hidden danger management method based on regulatory standards, characterized in that: include: Receiving hidden danger information input by a user, and performing information disassembly on the hidden danger information to obtain disassembled hidden danger disassembly information; wherein the hidden danger disassembly information includes keyword information; Performing semantic recognition on the hidden danger information to determine a semantic recognition result associated with the hidden danger information; Compare the keyword information and semantic recognition results with a pre-built legal and regulatory standard library to determine the legal and regulatory content associated with the corresponding hidden danger information; Performing data association on the hidden danger information and the related legal and regulatory content; after performing data association on the hidden danger information and the related legal and regulatory content, further comprising: Reorganizing the hidden danger information based on the associated legal and regulatory content to generate new hidden danger information, and outputting and displaying the new hidden danger information; The legal and regulatory standards database is a structured legal and regulatory database.

2. The hidden danger management method based on regulatory standards as claimed in claim 1, characterized in that: The hidden danger information also includes image information; After performing semantic recognition on the hidden danger information to determine a semantic recognition result associated with the hidden danger information, the method further includes: Inputting the image information into a preset device model for matching to identify corresponding device feature information; Inputting the device characteristic information into the hidden danger model for identification to determine the hidden danger result; The image information, hidden danger results, hidden danger information and timestamp information are data associated.

3. The hidden danger management method based on regulatory standards as claimed in claim 1, characterized in that: The step of disassembling the hidden danger information to obtain disassembled hidden danger disassembly information includes: Extracting words from the hidden danger information based on a keyword extraction model to obtain keyword information; After performing semantic recognition on the hidden danger information to determine a semantic recognition result associated with the hidden danger information, the method further includes: Perform semantic matching based on the semantic recognition result and the keyword information to determine a matching result between the two, and when the matching result reaches a set value, construct a hidden danger description information group based on the semantic recognition result and the keyword information; Based on the hidden danger description information group, the legal and regulatory contents related thereto are obtained.

4. The hidden danger management method based on regulatory standards as claimed in claim 1, characterized in that: The hidden danger management method further includes: Receive the troubleshooting list issued by the corresponding regulatory end; different regulatory ends are configured with different troubleshooting lists; Perform status detection on each device and each scene based on the troubleshooting table to determine actual status information of each device and each scene; Based on the actual status information, data of each item in the item checking table is updated to complete the item checking.

5. The hidden danger management method based on regulatory standards as claimed in claim 1, characterized in that: After performing semantic recognition on the hidden danger information to determine a semantic recognition result associated with the hidden danger information, the method further includes: Determine the corresponding detection field through the semantic recognition result and keyword information, and determine the update time information of the corresponding regulatory content in the legal and regulatory standards library based on the detection field; If the update time information is inconsistent with the update time of the latest regulations, then update the corresponding regulations in the legal and regulatory standards library according to the latest regulations; The hidden danger management method also includes: Construct a hidden danger troubleshooting table according to actual needs of users to determine the first hidden danger troubleshooting table; Publishing the first hidden danger troubleshooting table to the hidden danger troubleshooting database in a shared manner so that other users can obtain the corresponding troubleshooting table in the hidden danger troubleshooting database; receiving the usage quantity and evaluation result information of the first hidden danger troubleshooting table by other users; and determining the evaluation index according to the set evaluation mechanism based on the usage quantity and evaluation result information; The evaluation index is associated with the first hidden danger investigation table and stored.

6. The hidden danger management method based on regulatory standards as claimed in claim 5, characterized in that: After the evaluation index is associated with the first hidden danger investigation table and stored, the following further includes Performing data screening on the first hidden danger troubleshooting table to determine enterprise portrait parameters associated with the first hidden danger troubleshooting table, and associating the enterprise portrait parameters with the first hidden danger troubleshooting table for storage; The hidden danger management method further includes: Acquire enterprise information associated with the user, and acquire enterprise portrait information associated with the enterprise information based on the enterprise information; A data comparison is performed based on the enterprise portrait information and a hidden danger investigation database to determine a hidden danger investigation table associated with the enterprise portrait information.

7. A hidden danger management system based on regulatory standards, characterized in that: include: Receiving module: used for receiving hidden danger information input by the user, and disassembling the hidden danger information to obtain disassembled hidden danger disassembly information; Identification module: used for performing semantic identification on the hidden danger information to determine a semantic identification result associated with the hidden danger information; Matching module: used to compare the hidden danger disassembly information and semantic recognition results with the pre-built legal and regulatory standards library to determine the legal and regulatory content associated with the corresponding hidden danger information; Display module: used to display the hidden danger information and related laws and regulations; After the data association of the hidden danger information and the related laws and regulations is performed, the following is further included: Reorganizing the hidden danger information based on the associated legal and regulatory content to generate new hidden danger information, and outputting and displaying the new hidden danger information; The legal and regulatory standards database is a structured legal and regulatory database.

8. An electronic device, characterized in that: include: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the regulatory standard-based hidden danger management method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, wherein the computer program enables a computer to execute the regulatory standard-based hidden danger management method according to any one of claims 1 to 6.

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