Violation information traceability system and method

Abstract

The invention discloses a violation information traceability system and method, and the system comprises a violation reason module which is used for tracing and determining the violation basic reason of a violation event based on the prestored hierarchical reasons of various violation events; the law provision association module is used for matching the corresponding law provision according to the determined violation basic reason of the violation event; the logic chain generation module is used for generating a violation information logic chain topological graph for representing the incidence relation between the violation reasons and the incidence relation between the basic reasons and the regulation regulations according to the violation basic reasons and the matched regulation regulations; and the violation notification sheet module is used for generating a corresponding violation notification sheet according to the violation information logic chain topological graph. The system can comprehensively and deeply mine various factors behind the violation event, accurately determine various levels of causes of violation from multiple dimensions, and ensure that each basic cause of violation has a corresponding legal basis, thereby significantly improving the efficiency and accuracy of violation information traceability.

Description

Technical Field

[0001] This invention relates to the technical field of safety supervision, and in particular to a system and method for tracing information on violations. Background Technology

[0002] In the current management of traffic violations, traditional methods of analyzing violations rely on human experience, which has many undeniable shortcomings.

[0003] First, the source tracing efficiency is extremely low. Accident cause investigation requires manual, layer-by-layer processing. Faced with complex violations, it's difficult to accurately pinpoint the root cause in a short time, leading to prolonged processing times and hindering timely and effective measures to prevent recurrence. Second, the legal correlation is not precise enough. Matching violations with legal provisions relies heavily on manual searching. Due to the vast number and highly specialized nature of legal articles, manual searching easily misses key clauses, resulting in insufficient legal basis for penalties and reducing the authority and impartiality of violation management. Third, the report generation process is cumbersome. Creating ticket information requires manually integrating a large amount of data, consuming significant manpower and time, and is prone to formatting errors or missing content, affecting the accuracy and standardization of violation management. Summary of the Invention

[0004] To overcome the shortcomings of existing technologies, the present invention aims to propose a system and method for tracing traffic violation information, which can comprehensively and deeply explore the various causal chains behind traffic violation events, accurately determine the causes of violations from multiple dimensions, ensure that each basic cause of a violation can find a corresponding legal basis, and effectively improve the efficiency and accuracy of tracing traffic violation information.

[0005] To achieve the objectives of this invention, the following technical solution is adopted: A system for tracing traffic violation information, the system comprising: The violation reason module is used to trace and determine the basic reason for a violation event based on the pre-stored hierarchical reasons for various types of violation events; Legal provision association module: used to match the basic cause of the violation event traced by the violation cause module with the relevant laws and regulations. Logical chain generation module: used to generate a logical chain topology diagram of violation information that represents the relationship between the various levels of violation causes and the relationship between the basic causes of violation and the regulations and rules matched by the legal provisions association module, based on the basic causes of violation traced by the violation cause module and the regulations and rules matched by the legal provisions association module. Traffic violation notice module: used to generate corresponding traffic violation notices based on the traffic violation information logical chain topology diagram generated by the logical chain generation module.

[0006] In the above technical solution, the violation cause module can quickly trace the basic cause of a violation event based on pre-stored hierarchical causes of various violation events. Then, the legal provision association module matches the relevant laws and regulations associated with the basic cause of the violation, thereby generating a logical chain topology diagram of violation information, showing the relationships between the various levels of violation causes and between the basic cause and the laws and regulations. Finally, a corresponding violation notice is generated based on the logical chain topology diagram. This achieves a comprehensive and in-depth exploration of various factors behind violation events through the violation cause module, legal provision association module, logical chain generation module, and violation notice module, accurately determining the cause of the violation from multiple dimensions, ensuring that each basic cause of the violation can find a corresponding legal basis, and effectively improving the efficiency and accuracy of violation information tracing.

[0007] Preferably, the system further includes an interactive query module, which is used to visually display the topology diagram of the violation information logic chain generated by the logic chain generation module and the violation notice generated by the violation notice module, and supports user interaction with the system.

[0008] Preferably, the interactive query module includes a tree structure data model, which is used to display the hierarchical relationship of the reasons for violations corresponding to the violation events, and supports users to start from the direct cause of the violation event according to the preset cause event dimension, and select the corresponding violation reason of the violation event layer by layer according to the preset cause event dimension, until the basic reason for the violation is obtained. The cause-driven mechanism dynamically triggers the next level of options based on user selection and generates a dynamic arrow path to display the causal traceability chain; the dimensions of the cause events include four dimensions: people, things, environment, and management.

[0009] In the above technical solution, the tree-structured data model can support multi-level root cause analysis of violations, including people, objects, environment, and management. It can comprehensively and deeply explore the various causal chains behind violations, accurately determine the basic causes of violations from multiple dimensions, and provide a strong basis for subsequent responsibility determination and rectification.

[0010] Preferably, the violation cause module adopts a distributed storage architecture, storing the violation cause in a structured data format in a relational database, and also supports storing unstructured violation events of different types. The relational database has a local caching mechanism, supports fast querying in the absence of network, and dynamically updates data through a standardized interface.

[0011] Preferably, the violation cause module analyzes and derives the hierarchical causes of various violation events through a violation information tracing method, and supports users to add custom violation causes.

[0012] In the above technical solution, the violation cause module adopts a distributed storage architecture, stores the violation event causes in the form of structured data in a relational database, and supports the storage of unstructured violation events of different types. It can deploy a cache server locally to enable fast querying of high-frequency violation event causes in the absence of local network conditions, and supports the dynamic insertion of new violation event cause data through standardized interfaces to ensure real-time updates and integrity of data.

[0013] Preferably, the legal provision association module includes a preset database of laws and regulations. The laws and regulations stored in the database include national laws, industry regulations, departmental rules, local regulations, technical standards, group systems and company systems. It supports dynamic matching of selected basic reasons with legal provisions through a semantic rule engine, and automatically associates and displays relevant legal provisions at the end of the logical chain.

[0014] Preferably, the logical chain generation module includes a visualization topology graph generation unit and a category labeling unit; The visualization topology generation unit converts the causal path selected by the user into a logical chain topology diagram of violation information, and supports adjustments to the graphic style and line style; The category labeling unit is used to label the human, material, environmental, and management categories of each logical chain in the topology diagram of the violation information logical chain.

[0015] Preferably, the violation notification module uses a template to associate the reasons at each level corresponding to the violation event with the logical chain topology of the violation information to generate a violation notification. The violation notice includes some or all of the following fields: date of issuance of the notice, date of discovery of the violation, violating unit, violator, work content, violation content, violation code, project management unit, main responsible unit, penalty measures, rectification method, supervisory unit, and supervisory method.

[0016] Preferably, the violation notice module uses a template to automatically fill in the responsible party, violation facts, legal basis, and penalty measures in the generated violation notice, supports electronic signature verification, and outputs the notice in docx, PDF, or HTML format.

[0017] A method for tracing traffic violation information, the method comprising the following steps: Based on the pre-stored hierarchical causes of various violations, the basic causes of violations are traced and determined. Based on the underlying causes of various traffic violations, the basic causes of the violations are traced back to their hierarchical causes, and then the relevant laws and regulations are matched with those basic causes. Based on the basic reasons for the violation and the matched regulations, a logical chain topology diagram of the violation information is generated, representing the relationship between the various levels of reasons for the violation and between the basic reasons and the regulations. The corresponding violation notice is generated based on the logical chain topology diagram of the violation information.

[0018] Compared with the prior art, the beneficial effects of the present invention are as follows: This invention provides a system and method for tracing traffic violations. The violation cause module, based on pre-stored hierarchical causes of various violations, can quickly trace the fundamental cause of a violation. The legal provision association module then matches relevant laws and regulations, generating a logical chain topology diagram representing the relationships between different levels of violation causes and between the fundamental cause and the laws and regulations. Finally, a corresponding violation notice is generated based on this logical chain topology diagram. This system comprehensively and deeply mines the various causal chains behind violations through the violation cause module, legal provision association module, logical chain generation module, and violation notice module, accurately determining the cause of violations from multiple dimensions. It ensures that every fundamental cause of a violation can find a corresponding legal basis, effectively improving the efficiency and accuracy of violation information tracing. Attached Figure Description

[0019] Figure 1 This application provides a schematic diagram of the structure of a violation information tracing system. Figure 2 This is a schematic diagram of the system implementation path architecture provided in the embodiments of this application; Figure 3 This is a schematic diagram of the system main interface provided in an embodiment of this application; Figure 4 This is a schematic diagram of the main interface for querying the reason partition provided in this application embodiment; Figure 5 This is a schematic diagram of the reason query end interface provided in the embodiments of this application; Figure 6 This is a schematic diagram illustrating the generation of form numbers provided in an embodiment of this application; Figure 7 This is a schematic diagram of the form confirmation partition interface provided in the embodiments of this application; Figure 8 This is a schematic diagram illustrating a traffic violation notice form provided in an embodiment of this application. Figure 9 A flowchart illustrating the steps of a method for tracing traffic violation information provided in this application embodiment. Detailed Implementation

[0020] To facilitate understanding of the present invention, a more complete description will be given below with reference to the accompanying drawings. Preferred embodiments of the invention are shown in the drawings. However, the invention can be implemented in many different forms and is not limited to the embodiments described herein. Rather, these embodiments are provided to provide a thorough and complete understanding of the disclosure of the invention.

[0021] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0022] Example 1: This embodiment provides a system for tracing traffic violation information; see [link / reference]. Figure 1 The system includes: The violation reason module is used to trace and determine the basic reason for a violation event based on the pre-stored hierarchical reasons for various types of violation events; Legal provision association module: used to match the basic cause of the violation event traced by the violation cause module with the relevant laws and regulations. Logical chain generation module: used to generate a logical chain topology diagram of violation information that represents the relationship between the various levels of violation causes and the relationship between the basic causes of violation and the regulations and rules matched by the legal provisions association module, based on the basic causes of violation traced by the violation cause module and the regulations and rules matched by the legal provisions association module. Traffic violation notice module: used to generate corresponding traffic violation notices based on the traffic violation information logical chain topology diagram generated by the logical chain generation module.

[0023] In a preferred embodiment, the violation cause module adopts a distributed storage architecture, stores the causes of violation events in a relational database in the form of structured data, and supports the storage of unstructured violation events of different types. The relational database has a local caching mechanism, supports fast querying in the absence of network, and dynamically updates data through a standardized interface.

[0024] In a preferred embodiment, the violation cause module analyzes and derives the hierarchical causes of various violation events through a violation information tracing method, and supports users to add custom violation causes.

[0025] Specifically, the violation cause module adopts a distributed storage architecture. It stores the hierarchical causes of various violations, pre-analyzed using violation information tracing methods, in a structured data format in a relational database (such as MySQL). Simultaneously, it can store unstructured violation events of different types added by users during operation. The database has a local caching mechanism, deploying a cache server locally to enable rapid querying of high-frequency violation cause data even without a local network connection. It also supports dynamically inserting new violation cause data through a standardized interface, ensuring real-time data updates and integrity.

[0026] The violation cause module stores, but is not limited to, fifteen major categories of high-frequency power construction violation events, specifically: (1) Working at height (including working on scaffolds with a height of more than 1.5 meters and without railings) without using safety belts or other fall protection equipment or devices, or with safety belts not being attached to sturdy components, or losing the protection of safety belts when climbing towers or changing positions; (2) The hoisting machinery and traction equipment such as winches, truck cranes, and hoists have no braking and anti-reverse devices, or the braking devices are malfunctioning or insensitive, or the anti-falling safety devices of the hooks of the load-bearing tools are incomplete or ineffective; (3) The tools and equipment used or carried at the work site are unqualified (with obvious defects such as serious damage, cracks, loosening, broken strands, or reaching the scrapping standard). (4) The scaffolding was not erected in accordance with regulations, the material and specifications did not meet the requirements of the specifications, the planks were not tight or secure, and the ground bracing, scissor bracing, outriggers and wall ties were not installed. The scaffolding did not take closed protection measures or the protection measures were not in accordance with the specifications. (5) The blades of the grinding wheel, cutting machine, and saw used or carried at the work site are cracked or damaged, or the protective covers of the mechanical rotating parts are damaged or missing; (6) During low-voltage live-line work, the operator did not wear insulated shoes, low-voltage insulated gloves or canvas gloves, or use tools with insulated handles. Before the operation, the operator did not take effective measures such as insulation isolation and shielding of live parts to prevent phase-to-phase or ground short circuits. (7) The working grounding wire, system grounding wire or personal safety wire grounding clamp is easy to fall off, and the burial depth of the grounding body or temporary grounding body does not meet the safety requirements; (8) The metal casing of Class I insulated power tools and high-voltage testing equipment used at the work site is not grounded or the exposed conductive parts are not equipped with safety protection covers; (9) Measurements were taken around energized equipment using steel tape measures, leather tape measures, and rulers (with metal wires). Insulated ropes were not used to control the erection of poles during the erection and removal of energized high-voltage power lines. (10) When mechanical traction and deployment operations are carried out on the tower line, personnel are arranged to climb the tower to work (except for the pre-deflection of the tower adjustment pulley) or when there are people working on the line tower, the personnel below adjust and remove the tower guy wires, and remove the tower and line by suddenly cutting the conductor, ground wire, guy wire, etc. (11) Using unqualified voltage detectors, grounding wires, insulating gloves, and insulating operating rods at the work site; (12) The winch or hoist is not placed stably or is not anchored reliably, such as using trees or exposed rocks as the main load-bearing anchors for traction, braking and other purposes; (13) Using an insulating rod to pull and close disconnect switches, pulling and closing disconnect switches and circuit breakers via transmission mechanisms, and performing high-voltage testing; failing to wear insulating gloves or insulating shoes when installing or removing grounding wires for plant equipment and power distribution network equipment; failing to wear insulating gloves, stand on insulating objects, or wear insulating boots when installing or removing high-voltage fuse tubes; failing to wear insulating boots when inspecting indoor and outdoor high-voltage equipment in plant areas during thunderstorms and when grounding occurs in primary equipment; (14) No electric shock prevention measures were taken when crossing insulated conductors; (15) The confined space operation did not strictly follow the principle of "ventilation first, then testing, and then operation".

[0027] It should be specifically pointed out that each major category also includes incidents of violations, including but not limited to non-compliant seat belts, substandard quality of tools and equipment before use, and problems with outsourced tools and equipment.

[0028] Understandably, the violation cause module adopts a distributed storage architecture, storing the hierarchical causes of various violation events in a structured data format in a relational database. It also supports storing unstructured violation events of different types, can deploy a cache server locally, and can quickly query the causes of high-frequency accidents in the absence of local network conditions. Furthermore, it supports dynamically inserting new accident cause data through a standardized interface to ensure real-time updates and integrity of the data.

[0029] As a preferred embodiment, see Figure 1 The system also includes an interactive query module, which is used to visualize the topology diagram of the violation information logic chain generated by the logic chain generation module and the violation notice generated by the violation notice module, and supports user interaction with the system.

[0030] In a preferred embodiment, the interactive query module includes a tree-structured data model, which is used to display the hierarchical relationship of the basic causes of accidents corresponding to traffic violations. According to a preset cause-driven mechanism, it supports users to start from the direct cause of the traffic violation and select the corresponding cause of the traffic violation layer by layer according to the preset cause event dimensions until the basic cause of the traffic violation is obtained. The cause-driven mechanism dynamically triggers the next level of options based on user selection and generates a dynamic arrow path to display the causal traceability chain; the dimensions of the cause of the violation include four dimensions: people, things, environment, and management.

[0031] Specifically, the interactive query module is built on HTML5, CSS3 and JavaScript technologies to create a web terminal that provides a hierarchical selection interface; it uses a tree-structured data model to display the hierarchical relationship of violation events, with each event divided into multiple event levels according to the logic of general category → first level (representing the event) → second level → third level → ... At each level, detailed options are displayed according to four dimensions: people, objects, environment, and management. Users can start from the direct cause of the violation and select detailed causes layer by layer. Using a preset cause-driven mechanism, when the user selects a cause node, the interface automatically triggers the next level of options and generates a dynamic arrow path until the root cause is traced back to the bottom layer. At the same time, the cause-effect path is displayed through dynamic arrow prompts to form a complete chain of responsibility. The interactive query module supports multi-source and multi-branch logical chain operations, and integrates functions such as multi-selection, undo, redo, and query. The query function also supports fuzzy search and precise keyword search.

[0032] Understandably, the tree-structured data model can support multi-level root cause analysis of violations involving people, objects, environment, and management. It can comprehensively and deeply explore the various causal chains behind violations, accurately determine the causes of violations from multiple dimensions, and provide a strong basis for subsequent responsibility determination and rectification.

[0033] In a preferred embodiment, the legal provision association module includes a preset database of laws and regulations. The laws and regulations stored in the database include national laws, industry regulations, departmental rules, local regulations, technical standards, group systems, and company systems. It supports dynamic matching of selected basic reasons with legal provisions through a semantic rule engine, and automatically associates and displays relevant legal provisions at the end of the logical chain.

[0034] Specifically, the legal provisions association module constructs a database of laws and regulations that includes national laws, industry regulations, departmental rules, local regulations, technical standards, group systems, and company systems. Database technology is used to store legal provisions and their relationships related to violations. The semantic rule engine dynamically matches the regulations and rules with the basic reasons for violations selected in the interactive query selection function. For the end of each violation causal logic chain, i.e. the basic reason for violation, the system automatically matches the legal provisions associated with that reason and displays them in the violation query results interface. This module supports querying legal provisions at any regulatory level and allows manual addition, deletion, and modification of legal provisions corresponding to basic accident causes. The module prioritizes group regulations by default. If the group regulations do not cover the provisions, it will upgrade to match industry regulations, departmental rules, and national regulations in sequence. If the above regulatory levels do not cover the provisions, the company regulations will be used.

[0035] In a preferred embodiment, the logic chain generation module includes a visualization topology graph generation unit and a category labeling unit; The visualization topology generation unit converts the causal path selected by the user into a logical chain topology diagram of violation information, and supports adjustments to the graphic style and line style; The category labeling unit is used to label the human, material, environmental, and management categories of each logical chain in the topology diagram of the violation information logical chain.

[0036] Specifically, the visualization topology generation unit uses the Merrmaid-py library to convert the causal path selected by the user into a violation information logical chain topology diagram. It supports modifying the size and shape of the content box of the violation information logical chain topology diagram (multiple preset shapes such as rectangle / ellipse / diamond) as well as the size and shape of the lines (multiple styles such as solid line / dashed line / arrow style). The category labeling unit is used to display the specific categories of human, material, environmental, and management factors on each chain of the violation information logical chain topology diagram, and to label the human, material, environmental, and management factors in the topology diagram to facilitate intuitive differentiation for users. The module generates a visual logic chain topology diagram that supports zooming and magnification, allowing users to view the logic chain structure from different angles. It also supports the export function of the logic chain, which can save the topology diagram as PNG, SVG or PDF format.

[0037] In a preferred embodiment, the violation notification module uses a template to associate the causes at each level of the violation event with the logical chain topology of the violation information to generate a violation notification. The violation notice includes some or all of the following fields: date of issuance of the notice, date of discovery of the violation, violating unit, violator, work content, violation content, violation code, project management unit, main responsible unit, penalty measures, rectification method, supervisory unit, and supervisory method.

[0038] In a preferred embodiment, the violation notice module uses a template to automatically fill in the responsible party, violation facts, legal basis, and penalty measures in the generated violation notice, supports electronic signature verification, and outputs the notice in docx, PDF, or HTML format.

[0039] Specifically, the violation notification module uses a template to generate a corresponding violation notification from the cause tracing chain and logical chain topology diagram of the violation event selected by the user. When generating a printable violation notification, it automatically fills in the responsible party, violation facts, legal basis and penalty measures, and supports electronic signature verification to ensure that the signature cannot be tampered with. The final output is a violation notice in docx format, which can also be exported to PDF and HTML formats with one click. The exported file includes a complete cause-effect logic chain topology diagram and full text of legal clauses as attachments. It also supports batch generation, which can generate standardized notices for multiple similar violation events at the same time, and supports data export to Excel ledger to meet the needs of different scenarios.

[0040] It should be noted that, see Figure 2 The violation information tracing system is based on a historical violation event database and work logs, and determines the event at the top of the accident tree through association rule mining; A dataset of violations from the past ten years was extracted from the safety production risk management platform, and cluster analysis was performed according to the type of violation. A four-dimensional attribution framework of human-object-environment-management was constructed for each type of violation. The human dimension includes, but is not limited to, sub-nodes such as lack of skills, violation of operation, and dereliction of duty in supervision; the object dimension includes, but is not limited to, sub-nodes such as equipment defects, tool failure, and unqualified materials; the environment dimension includes, but is not limited to, sub-nodes such as abnormal weather, site hazards, and insufficient lighting; and the management dimension includes, but is not limited to, sub-nodes such as lack of system, insufficient training, and regulatory loopholes. Based on the Bode accident causal chain theory, an accident tree model based on this four-dimensional attribution framework was constructed. The user's tracing path is collected through an interactive selection interface, and a causal logic chain is generated in real time. The legal clause matching engine is invoked to associate legal requirements and penalty bases for each level of cause node; Automatically generate multi-dimensional violation reports that include the path to trace the responsible party, legal basis, and rectification suggestions.

[0041] In this embodiment, the violation cause module can quickly trace the basic cause of a violation event based on pre-stored hierarchical causes of various violation events. Then, the legal provision association module matches the relevant laws and regulations corresponding to the basic cause of the violation, thereby generating a violation information logical chain topology diagram representing the relationships between different levels of violation causes and between the basic cause and the laws and regulations. Finally, a corresponding violation notice is generated based on the violation information logical chain topology diagram. This achieves a comprehensive and in-depth exploration of the various causes behind violation events through the violation cause module, legal provision association module, logical chain generation module, and violation notice module, accurately determining the cause of the violation from multiple dimensions, ensuring that each basic cause of the violation can find a corresponding legal basis, and effectively improving the efficiency and accuracy of violation information tracing.

[0042] Example 2: This embodiment, based on the system described in Embodiment 1, provides relevant examples of the system in practical applications, as follows: After a user opens the web terminal, the system's three main functional areas are first displayed: Reason Inquiry, Form Confirmation, and Historical Statistics, such as... Figure 3 As shown.

[0043] The reason query interface is as follows: Figure 4 As shown, this section supports the function of tracing and analyzing traffic violations. After analyzing layer by layer, users obtain the source chain of violation information and are ultimately provided with two options: submit and download. Figure 5 As shown; the submission function refers to sending the currently generated violation tracing chain to the form confirmation section. If the submission is successful, the system will generate a form and a number for that logical chain. This number can be queried during form confirmation. Figure 5 As shown, the download function refers to downloading the violation notices generated by the violation tracing chain.

[0044] The form confirmation section is as follows: Figure 6 As shown, you can enter a form number to query historical forms. Here, we display the form corresponding to the form number generated above, such as... Figure 7 As shown, the violation notice report corresponding to the form can be downloaded at the end.

[0045] The more detailed system operation process is as follows: Taking the example of a violation in the power industry, namely "working at height (including working on scaffolding with a height of more than 1.5 meters and without railings) without using safety belts or other fall protection equipment or devices, or without safety belts being fastened," the system's operation process is explained in detail.

[0046] Identifying a violation: The user selects "not wearing a safety belt while working at height" as a violation on the webpage, and the system receives this input information.

[0047] The system constructs an accident tree model and displays a selection interface: Based on a historical accident database and work logs, the system uses association rule mining to determine that this is the top-level event in the accident tree. Simultaneously, it extracts a dataset of relevant violations from the past ten years from the safety production risk management platform and performs cluster analysis according to violation event type. For the type of violation event, an accident tree model with a four-dimensional attribution framework of human-object-environment-management is constructed. The human-cause dimension displays sub-node options such as skill deficiency, violation of regulations, and negligence of supervision; the object-cause dimension displays sub-node options such as equipment defects, tool failure, and substandard materials; the environmental dimension displays sub-node options such as abnormal weather, site hazards, and insufficient lighting; and the management dimension displays sub-node options such as lack of systems, insufficient training, and regulatory loopholes. An interactive query and selection function displays a hierarchical selection interface on the webpage, allowing users to refine the causes.

[0048] User Selection and Causal Chain Generation: Users begin by selecting cause nodes layer by layer on the interface. For example, they might first select "Violation" under the human factor dimension. The interface automatically triggers the next level of options, such as "Failure to correctly recognize security risks" or "Habitual violations." As the user continues to select, the interface generates a dynamic arrow path in real time for each selected node. With each selection, a complete causal chain is gradually formed, tracing back to the underlying root cause. During this process, the causal chain generation function converts the user-selected causal path into a visual causal chain topology diagram in real time. Using category labeling units, specific category labels (human factor, physical factor, cyclical factor, and managerial factor) are assigned to each chain in the topology diagram.

[0049] Legal Clause Association: When the user selects the cause node, the legal clause association function calls the semantic rule engine to dynamically match the user's selected basic cause of violation with legal clauses in the legal database. For example, if the basic cause of violation is determined to involve "system deficiency," it will automatically associate it with relevant legal clauses on safety production management systems, providing a legal basis for subsequent liability determination and penalties.

[0050] Generating Violation Notices: After the user completes the cause selection, forming a complete source chain for the violation incident, the violation notice generation and output function integrates the source chain and logical chain topology diagram to generate the corresponding violation notice. The structured report records detailed information such as the notice issuance date, violation discovery date, supervising unit, supervision method, main responsible unit, violation code, work content, responsible unit or work station, project management unit, violation description, responsible person, and rectification requirements. Printable violation notices automatically fill in the responsible party, violation facts, legal basis, and penalty measures, and support electronic signature verification. Users can choose to output the violation notice in PDF, Word, or other formats according to their needs.

[0051] Updates and Optimizations: During system operation, users can add new violation events to the violation event factor database based on actual conditions, continuously improving the database. The legal clause association function regularly updates the legal and regulatory database to ensure that associated legal clauses are always the latest and most valid versions. Furthermore, after each violation event is processed, the system can optimize and adjust the fault tree model, logic chain generation rules, etc., based on actual conditions to improve the system's accuracy and applicability.

[0052] Example 3: This embodiment provides a method for tracing traffic violation information; see [link to documentation]. Figure 9 The method includes the following steps: Step S1: Based on the pre-stored hierarchical causes of various traffic violations, trace and determine the basic causes of the violations. Step S2: Based on the underlying causes of various traffic violations, match the relevant laws and regulations with the underlying causes of the violations. Step S3: Based on the basic reasons for the violation and the matched regulations, generate a logical chain topology diagram of the violation information that represents the relationship between the various levels of reasons for the violation and between the basic reasons and the regulations. Step S4: Generate the corresponding violation notice based on the logical chain topology diagram of the violation information.

[0053] The above description is merely an embodiment of the present invention and does not limit the patent scope of the present invention. Any equivalent structural or procedural transformations made based on the content of the present invention's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of the present invention.

Claims

1. A system for tracing traffic violation information, characterized in that, The system includes: The violation reason module is used to trace and determine the basic reason for a violation event based on the pre-stored hierarchical reasons for various types of violation events; Legal provision association module: used to match the basic cause of the violation event traced by the violation cause module with the relevant laws and regulations. Logical chain generation module: used to generate a logical chain topology diagram of violation information that represents the relationship between the various levels of violation causes and the relationship between the basic causes of violation and the regulations and rules matched by the legal provisions association module, based on the basic causes of violation traced by the violation cause module and the regulations and rules matched by the legal provisions association module. Traffic violation notice module: used to generate corresponding traffic violation notices based on the traffic violation information logical chain topology diagram generated by the logical chain generation module.

2. The violation information tracing system according to claim 1, characterized in that, The system also includes an interactive query module, which is used to visualize the topology diagram of the violation information logic chain generated by the logic chain generation module and the violation notice generated by the violation notice module, and supports user interaction with the system.

3. The violation information tracing system according to claim 2, characterized in that, The interactive query module includes a tree-structured data model, which is used to display the hierarchical relationship of the reasons for violations corresponding to the violation events. According to the preset cause-driven mechanism, it supports users to start from the direct cause of the violation event and select the corresponding reasons for the violation event layer by layer according to the preset cause event dimensions until the basic reason for the violation is obtained. The cause-driven mechanism dynamically triggers the next level of options based on user selection and generates a dynamic arrow path to display the causal traceability chain; the dimensions of the cause events include four dimensions: people, things, environment, and management.

4. The violation information tracing system according to claim 1, characterized in that, The violation cause module adopts a distributed storage architecture, storing the causes of violation events in a structured data format in a relational database, and also supports storing unstructured violation events of different types. The relational database has a local caching mechanism, supports fast querying in the absence of network, and dynamically updates data through a standardized interface.

5. The violation information tracing system according to claim 4, characterized in that, The violation cause module analyzes the hierarchical causes of various violation events through violation information tracing methods, and supports users to add custom violation causes.

6. The violation information tracing system according to claim 1, characterized in that, The legal provision association module includes a pre-set database of laws and regulations. The laws and regulations stored in the database include national laws, industry regulations, departmental rules, local regulations, technical standards, group systems and company systems. It supports dynamic matching of each basic reason with legal provisions through a semantic rule engine, and automatically associates and displays relevant legal provisions at the end of the logical chain.

7. The violation information tracing system according to claim 3, characterized in that, The logical chain generation module includes a visualization topology graph generation unit and a category labeling unit; The visualization topology generation unit converts the causal path selected by the user into a logical chain topology diagram of violation information, and supports adjustments to the graphic style and line style; The category labeling unit is used to label the human, material, environmental, and management categories of each logical chain in the topology diagram of the violation information logical chain.

8. The violation information tracing system according to claim 1, characterized in that, The violation notification module uses a template approach to associate the basic cause of the violation event with the logical chain topology of the violation information to generate a violation notification. The violation notice includes some or all of the following fields: date of issuance of the notice, date of discovery of the violation, violating unit, violator, work content, violation content, violation code, project management unit, main responsible unit, penalty measures, rectification method, supervisory unit, and supervisory method.

9. The violation information tracing system according to claim 8, characterized in that, The violation notice module uses a template to automatically fill in the responsible party, violation facts, legal basis, and penalty measures in the generated violation notice. It supports electronic signature verification and outputs the notice in docx, PDF, or HTML format.

10. A method for tracing the source of traffic violation information, characterized in that, The method includes the following steps: Based on the pre-stored hierarchical causes of various violations, the basic causes of violations are traced and determined. Based on the underlying causes of various traffic violations, the basic causes of the violations are traced back to their hierarchical causes, and then the relevant laws and regulations are matched with those basic causes. Based on the basic reasons for the violation and the matched regulations, a logical chain topology diagram of the violation information is generated, representing the relationship between the various levels of reasons for the violation and between the basic reasons and the regulations. The corresponding violation notice is generated based on the logical chain topology diagram of the violation information.

Images