Police service processing method and system based on large model technology cooperation

Abstract

The invention relates to the field of public security police affair command systems, and discloses a police affair processing method and system based on large model technology collaboration, and the method comprises the steps: collecting multi-channel alarm information, carrying out the data preprocessing of the collected alarm information through a police affair command large model, carrying out the automatic recognition of the preprocessed alarm information, and carrying out the automatic recognition of the alarm information. Key data are obtained, and alarm information is automatically filled and updated; analyzing the key data by using a police service command large model to generate a disposal plan and an instruction set aiming at the current alarm condition, and issuing the disposal plan and the instruction set to a next-level execution unit after confirming that the disposal plan and the instruction set are correct, so as to dispatch proper police force to an alarm condition site; using the police service command large model to combine with the police service knowledge base to identify the processing key points of the corresponding alarm condition, synchronizing the processing key points to the target terminal, receiving the alarm receiving and processing information of the case, and updating the processing key points in real time based on the alarm condition feedback information; and alarm feedback information is continuously monitored, and whether abnormity and potential risks exist or not is judged.

Description

Technical Field

[0001] The present application relates to the field of public security police command systems, and more specifically, to a police processing method and system based on large model technology collaboration. Background Art

[0002] Traditional police command platforms are centered around voice access and voice dispatch, and are difficult to quickly and flexibly access new alarm forms such as the Internet, WeChat, and video. At the same time, IT platforms based on traditional architectures have weak computing capabilities and few open interfaces, making it difficult to conduct complex big data analysis and mining. The visualization content in the police command platform is simple, and there is no integrated, intelligent decision-making support, resulting in insufficient intelligence information support.

[0003] When the intelligence and command center handles emergency affairs, the complex system operation process will cause the commander to spend more time to make necessary decisions in an emergency, resulting in inefficient event handling. In the case of an emergency, manually issuing dispatch instructions may also cause deviations or errors in decision-making, affecting the effectiveness of the action. Summary of the invention

[0004] In order to solve the above technical problems, this application provides a police processing method and system based on large model technology collaboration.

[0005] The specific technical solutions of this application are as follows:

[0006] In the first aspect, the present application discloses a police handling method based on big model technology police command big model collaboration, including:

[0007] Collect police information from multiple channels, and use the police command model to pre-process the collected police information, including data cleaning, data labeling, and data integration;

[0008] Using the police command big model to automatically identify the pre-processed police information to obtain key data; and automatically filling the key data into the police case filing template to update the police information;

[0009] The key data is analyzed using the police command model to generate a disposal plan and a set of instructions for the current police situation; after confirming that the disposal plan and the set of instructions are correct, they are sent to the next level of execution unit so that appropriate police forces can be dispatched to the scene of the police situation;

[0010] The police command model is used in combination with the police knowledge base to identify the key points for handling corresponding police situations and synchronize them to the target terminal; police feedback information of the case is received, and the key points for handling are updated in real time based on the police feedback information; the police feedback information is continuously monitored, and the police command model is used to determine whether there are anomalies and potential risks.

[0011] In some embodiments, the method of using the police command model to analyze the key data to generate a disposal plan and instruction set for the current police situation includes the following steps:

[0012] Analyze the key data of the current police situation through the police command big model to extract the characteristics of the police situation;

[0013] Based on the characteristics of the police situation, historical cases with high similarity are matched in the police knowledge base; the historical cases are integrated and analyzed to generate multiple disposal plans and instruction sets for the current police situation;

[0014] In the process of generating plans, the advantages, feature labels, recommendation degree and matching degree of each disposal plan are automatically generated according to the content and structure of the plan; this information helps relevant personnel to select the most appropriate target disposal plan from multiple disposal plans.

[0015] In some implementations, the police handling method based on large model technology collaboration further includes:

[0016] The police command model is used to automatically integrate the police information of the case and the police feedback information to generate a police handling report for the case; the police handling report is synchronized to the superior management terminal for case summary and organization.

[0017] In some implementations, the police handling method based on large model technology collaboration further includes:

[0018] Use the police command model to review and analyze the entire process of completed case handling; summarize the advantages and disadvantages of the case handling process, optimize and improve the handling solutions of historical cases and the corresponding consequences;

[0019] The optimized handling solutions for police cases are integrated into the police knowledge base so that when new cases are handled, the handling solutions for historical cases can be called and dispatched through the police command model as a reference.

[0020] In some embodiments, the police handling method based on big model technology collaboration further includes: constructing the police command big model;

[0021] The police command model is trained using police information and police feedback information from historical cases.

[0022] In the second aspect, the present application discloses a police affairs processing system based on large model technology collaboration, including:

[0023] Information receiving module, used to collect multi-channel police information;

[0024] An information processing module, used to perform data preprocessing on the collected police information using the police command model, including data cleaning, data labeling, and data integration;

[0025] An information identification module is used to automatically identify the pre-processed police information using the police command model to obtain key data therein; and is also used to automatically fill the key data into the police case filing template to update the police information;

[0026] A plan generation module, used to analyze the key data using the police command model to generate a disposal plan and instruction set for the current police situation;

[0027] The instruction issuing module is used to issue the emergency plan and the instruction set to the next level execution unit after confirming that they are correct, so as to dispatch appropriate police forces to the scene of the incident;

[0028] A key point synchronization module is used to use the police command model in combination with the police knowledge base to identify the key points of handling the corresponding police situation and synchronize them to the target terminal;

[0029] The information receiving module is also used to receive police feedback information of the case, and update the handling points in real time based on the police feedback information;

[0030] The risk monitoring module is used to continuously monitor the police feedback information and use the police command model to determine whether there are abnormalities and potential risks.

[0031] In some implementations, the plan generation module further includes:

[0032] A data analysis submodule is used to analyze the key data of the current police situation through the police command model to extract the characteristics of the police situation;

[0033] The case matching submodule is used to match historical cases with high similarity in the police knowledge base based on the characteristics of the police situation; integrate and analyze the historical cases to generate multiple disposal plans and instruction sets for the current police situation;

[0034] The plan analysis submodule is used to automatically generate the advantages, feature labels, recommendation degree and matching degree of each disposal plan according to the content and structure of the plan during the process of generating the plan; this information helps relevant personnel to select the most appropriate target disposal plan from multiple disposal plans.

[0035] In some embodiments, the police processing system based on large model technology collaboration further includes:

[0036] The handling report generation module is used to use the police command model to automatically integrate the police information of the case and the police feedback information to generate a police handling report for the case; and synchronize the police handling report to the superior management terminal for case summary and organization.

[0037] In some embodiments, the police processing system based on large model technology collaboration further includes:

[0038] The police situation review module is used to use the police command model to review and analyze the entire process of the completed case handling; summarize the advantages and disadvantages of the case handling process, and optimize and improve the handling solutions of historical cases and the corresponding consequences;

[0039] The database management module is used to integrate the optimized handling solutions of police cases into the police knowledge base, so that when new cases are handled, the handling solutions of historical cases can be called and dispatched through the police command model as a reference.

[0040] In some embodiments, the police processing system based on large model technology collaboration further includes:

[0041] The police command big model construction module is used to construct the police command big model; it is also used to train the police command big model using the police information and police feedback information of historical cases.

[0042] Compared with the existing technology, this application introduces big model technology into the existing public security police command system. Based on the general big model platform, it forms a big model of command experts in the public security field by learning and training a large number of historical data on police cases, incidents and command and dispatch disposal, which significantly improves the capabilities of the public security intelligence and command center in information processing, command and dispatch, decision support, research and analysis, etc.

[0043] It is specifically reflected in the following aspects:

[0044] 1. Improve the ability to obtain information. Through large models, it can accurately identify and extract important information contained in massive external information, assist commanders to quickly grasp key information and improve analysis efficiency.

[0045] 2. Improve response speed and efficiency. Use large model algorithms to provide commanders with the most appropriate handling points and handling guidance information, which can effectively improve command response speed and effectiveness.

[0046] 3. Enhance decision-making support capabilities: Use large-model data analysis and judgment technology to deeply explore the laws and patterns hidden behind current events and intelligence clues, and provide commanders with decision-making opinions based on the real-time situation of the current command scene.

[0047] 4. Strengthen intelligence analysis and early warning: Use large model algorithms to monitor data flows in real time, dynamically perceive risk points and automatically identify risk domain information such as personnel, things, and objects, automatically identify abnormal behaviors or events, and provide early warning of potential risks. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] The preferred implementation scheme will be described below in a clear and understandable manner with reference to the accompanying drawings to further illustrate the above-mentioned characteristics, technical features, advantages and implementation methods of the present application.

[0049] Figure 1 A flowchart of the steps of an embodiment of the police processing method based on the big model technology collaboration of the present application;

[0050] Figure 2 A flowchart of another embodiment of the police processing method based on big model technology collaboration of the present application;

[0051] Figure 3 This is a structural block diagram of an embodiment of a police processing method system based on big model technology collaboration in this application. DETAILED DESCRIPTION

[0052] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0053] It should be understood that when used in this specification and the appended claims, the term "comprising" indicates the presence of the described features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or collections.

[0054] In order to simplify the drawings, only the parts related to the invention are schematically shown in each figure, and they do not represent the actual structure of the product. In addition, in order to simplify the drawings and facilitate understanding, in some figures, only one of the parts with the same structure or function is schematically drawn or marked. In this article, "one" not only means "only one", but also means "more than one".

[0055] It should be further understood that the term “and / or” used in the specification and appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0056] In this document, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0057] In a specific implementation, the terminal device described in the embodiments of the present application includes, but is not limited to, other portable devices such as mobile phones, laptop computers, tutoring machines, or tablet computers with touch-sensitive surfaces (e.g., touch screen displays and / or touch pads). It should also be understood that in some embodiments, the terminal device is not a portable communication device, but a desktop computer with a touch-sensitive surface (e.g., touch screen displays and / or touch pads).

[0058] In addition, in the description of the present application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0059] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the specific implementation methods of the present application will be described below with reference to the accompanying drawings. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings and other implementation methods can be obtained based on these drawings without creative work.

[0060] The existing public security police command system plays an increasingly prominent role in the daily business handling of the public security intelligence and command center. It provides a high degree of information integration and sharing, centralized command and dispatch, collaborative operations and information transmission, and can significantly improve the efficiency, accuracy and coordination of daily intelligence command business.

[0061] The existing public security police command system also has some application problems:

[0062] 1. Difficulty in obtaining effective information: When the Public Security Intelligence and Command Center receives a large amount of information from different channels, it will face problems such as information redundancy, uneven information quality, low degree of information structuring, and lack of emphasis on key information. It is difficult for commanders to screen out useful information in a short period of time.

[0063] 2. Insufficient support for decision-making: When the intelligence center and front-line police officers are handling related matters, they lack sufficient and accurate intelligence support, making it difficult for commanders to fully understand the situation, which may lead to deviations or errors in decision-making and affect the effectiveness of the operation.

[0064] 3. The multi-tasking process is cumbersome: When the intelligence and command center handles emergency affairs, the complex system operation process will cause the commanders to spend more time to complete the necessary functions in an emergency, thereby delaying the rapid response to the incident and missing the best time to handle it.

[0065] Therefore, big model technology is introduced into the existing public security police command system. Based on the general big model platform, a big model of command experts in the public security field is formed by learning and training on a large number of historical data on police cases, incidents, command and dispatch, and disposal. This will significantly enhance the capabilities of the public security intelligence and command center in information processing, command and dispatch, decision support, research and analysis, etc.

[0066] Reference Manual Attached Figure 1 An embodiment of a police processing method based on large model technology collaboration provided by the present application includes the following steps:

[0067] S100, collecting police information from multiple channels, and using the police command model to perform data preprocessing on the collected police information, including data cleaning, data labeling, and data integration.

[0068] Specifically, in this embodiment, a police processing method using big model technology collaboration is executed by a police processing system using big model technology collaboration, hereinafter referred to as the system. The system initiates a synthetic operation for major police situations, and the big model intervenes in real time to assist in command. In this embodiment, the system integrates multi-source police systems such as 110 police reception and handling, police coordination, intelligence clues, and police situation analysis, collects all data related to police situations, and cleans, labels, integrates, and analyzes the relevant data through the big model.

[0069] Large model technology refers to machine learning models with large-scale parameters and complex computing structures, usually built from deep neural networks with billions or even hundreds of billions of parameters. These models are designed to improve the expressiveness and predictive performance of the models, enabling them to handle more complex tasks and data.

[0070] S200, using the police command model to automatically identify the pre-processed police information to obtain key data, and automatically fill the key data into the key elements of the police information.

[0071] Specifically, the big model automatically identifies key elements in police data, completes the content of the police report, and identifies information such as personnel, addresses, and items related to the police. The big model can accurately identify and extract important information contained in massive amounts of external information, assisting commanders to quickly grasp key information and improve analysis efficiency.

[0072] S300, using the police command model to analyze the key data to generate a disposal plan and instruction set for the current police situation. After confirming that the disposal plan and instruction set are correct, they are sent to the next level execution unit to dispatch appropriate police forces to the police situation scene.

[0073] Specifically, we use big model data analysis and judgment technology to deeply explore the laws and patterns hidden behind current events and intelligence clues, and provide decision-making opinions to commanders based on the real-time situation of the current command scene. Using big model algorithms to provide commanders with the most appropriate handling points and handling guidance information can effectively improve the command response speed and effectiveness.

[0074] The big model automatically generates disposal plans and instruction sets based on the collected alarm elements, assisting the commander to generate instructions with one click and send them to the corresponding command positions. After each command position confirms that the instruction content, disposal reminders, and feedback requirements recommended by the big model are correct, it will issue them to each execution unit to execute the task with one click.

[0075] S400: Use the police command model in combination with the police knowledge base to identify the key points of handling the corresponding police situation and synchronize them to the target terminal. Receive police situation feedback information, and update the key points of handling in real time based on the police situation feedback information. Continuously monitor the police situation feedback information, and use the police command model to determine whether there are abnormalities and potential risks.

[0076] Specifically, the big model continuously senses the dynamics of police situation handling, automatically identifies and updates business information such as police situation elements, risk hazards, people / events / places / objects in police situation, and provides data and technical support for command personnel.

[0077] Use big model algorithms to monitor data streams in real time, dynamically sense risk points and automatically identify risk domain information such as people, things, and objects, automatically identify abnormal behaviors or events, and provide early warning of potential risks.

[0078] Preferably, the large model automatically determines whether the handling needs to be upgraded and whether additional police force needs to be dispatched based on the content and development trend of the police situation handling, so as to assist the command personnel in providing reinforcements.

[0079] Another embodiment of the police handling method based on the big model technology collaboration of the present application, based on one embodiment of the above method, in step S300, the key data is analyzed using the police command big model to generate a disposal plan and instruction set for the current police situation, specifically including the following steps:

[0080] S310, analyzing the key data of the current police situation through the police command big model to extract the characteristics of the police situation.

[0081] S320, matching historical cases with high similarity in the police knowledge base based on the characteristics of the police situation, integrating and analyzing the historical cases, and generating multiple disposal plans and instruction sets for the current police situation.

[0082] S330, in the process of generating the plan, the advantages, characteristic labels, recommendation degree and matching degree of each disposal plan are automatically generated according to the content and structure of the plan. Such information helps relevant personnel to select the most appropriate target disposal plan from multiple disposal plans.

[0083] Specifically, based on the general instruction set, characteristic instruction set, historical cases and actual situation information of the current event, the big model algorithm is used to automatically generate the most appropriate handling points and handling guidance information for the commander. According to the current information and handling points, a variety of corresponding handling instruction contents are automatically generated for the commander to choose, reducing the commander's instruction editing operation process. It is convenient for relevant commanders to select appropriate instructions from the instruction list provided by the big model and send them to the command post with one click.

[0084] Another embodiment of the police handling method based on the big model technology collaboration of the present application, based on any one of the embodiments of the above method, further includes the following steps:

[0085] S500, using the police command model to automatically integrate the police information and the police feedback information of the case to generate a police handling report of the case. The police handling report is synchronized to the superior management terminal for case summary and arrangement.

[0086] Specifically, police information refers to the effective descriptive information about the target case that the caller transmits to the public security organ, including text, audio data, and photos and videos provided by the caller, etc. that cannot be described in text.

[0087] Alarm reception and handling information includes alarm reception information and alarm handling information. Alarm reception information refers to the alarm content recorded by the public security organs after receiving the alarm call or other alarm methods.

[0088] Police handling information refers to the dispatch of police forces to the scene of the incident quickly according to the nature and urgency of the alarm, including the number of dispatched personnel, address, and equipment used. It also includes the work details of the dispatched police force after arriving at the scene, including working hours, work content (such as investigation and evidence collection, scene protection, and on-site handling).

[0089] During the entire life cycle of combined operations, the big model can be used at any time to generate police situation handling reports that need to be reported to leaders at the same level, superiors, the government, and public security departments with just one click.

[0090] Another embodiment of the police handling method based on the big model technology collaboration of the present application, based on any one of the embodiments of the above method, further includes the following steps:

[0091] S600: Use the police command model to review and analyze the entire process of the completed case handling, summarize the advantages and disadvantages of the case handling process, and optimize and improve the handling solutions of historical cases and the corresponding consequences.

[0092] S700, integrating the optimized handling solutions of police cases into the police knowledge base, so that when handling new cases, the handling solutions of historical cases can be called and dispatched through the police command model as a reference.

[0093] Specifically, after the combined operations are completed, the system provides a police situation review function, returning the command experience to the command and dispatch police knowledge base to improve future command effectiveness.

[0094] A schematic diagram of the complete method is provided in the attached manual. Figure 2 In some embodiments, the large model involved in the above steps specifically refers to a large model of command experts in the public security field formed by learning and training a large number of historical data on police cases, incidents, command and dispatch based on a general large model platform.

[0095] Another embodiment of the method of the present application, based on any one of the above embodiments, further includes the following steps before implementing the steps of the present application: S010: Constructing the police command model.

[0096] S020, using the police information and police feedback information of historical cases to train the police command model.

[0097] In one implementation of this embodiment, large model training requires powerful computing resources, as well as distributed computing and parallelization technologies, including data parallelism and model parallelism. Large models are usually based on the Transformer architecture, with the core being the self-attention mechanism, which allows the model to focus on other key points in the sentence while processing one key point.

[0098] The core of big model technology includes deep learning and natural language processing technology. Deep learning technology processes large amounts of data by training deep neural networks to achieve complex data analysis and processing tasks. Natural language processing technology is a technology that conducts in-depth analysis and processing of human natural language, including text analysis, sentiment analysis, speech recognition, machine translation, etc. In the design of big models, pre-training and fine-tuning are usually used. Pre-training refers to training deep neural networks with a large amount of text data to obtain the initial parameters of the model. Fine-tuning is to adjust and optimize the model for specific tasks to make it perform better on specific tasks.

[0099] In another implementation of this embodiment, large model training is usually divided into two stages: pre-training and fine-tuning. In the pre-training stage, the model performs self-supervised learning through massive unlabeled data. In the fine-tuning stage, the model is adjusted on specific tasks to adapt to various downstream tasks.

[0100] Based on the same technical concept, the present application also discloses a police processing system based on large model technology collaboration, which can be used to implement any of the above-mentioned police processing methods based on large model technology collaboration. Specifically, the police processing system embodiment based on large model technology collaboration of the present application includes:

[0101] The information receiving module is used to collect multi-channel police information.

[0102] The information processing module is used to use the police command model to perform data preprocessing on the collected police information, including data cleaning, data labeling, and data integration.

[0103] Specifically, when launching a major emergency response operation, the big model, as the intelligent core, accesses emergency information in real time and assists commanders in making decisions. For example, through artificial intelligence algorithms, the big model can quickly analyze the urgency of the emergency and the possible scope of impact, and provide commanders with preliminary operational recommendations.

[0104] The system achieves seamless data collection through deep integration with the 110 police call handling system, police coordination platform, intelligence clue management system and police situation analysis system. Through data mining and integration technology, the system can comprehensively collect various types of data related to police situations, including but not limited to the basic information of the caller, the content of the call, historical police situation records, and background information of the people and places involved.

[0105] The information identification module is used to automatically identify the pre-processed police information using the police command model to obtain key data therein, and is also used to automatically fill the key data into the police case filing template to update the police information.

[0106] Specifically, using natural language processing and machine learning technologies, the big model can automatically identify key elements in police data, such as the persons involved, addresses, and items, and intelligently complete the police report content. For example, by analyzing the voice transcription text of the alarm call, the big model can extract key information such as the suspect's characteristics and the tools used to commit the crime described by the caller, and automatically fill it into the police report.

[0107] The plan generation module is used to use the police command model to analyze the key data to generate a disposal plan and instruction set for the current police situation.

[0108] The instruction issuing module is used to issue the handling plan and the instruction set to the next level execution unit after confirming that they are correct, so as to dispatch appropriate police force to the scene of the incident.

[0109] Specifically, based on the collected alarm elements, the big model uses the preset handling logic and historical case library to automatically generate targeted handling plans and instruction sets. The commander can generate instructions with one click and send the instructions to the corresponding command post through the system. For example, if the alarm involves the leakage of hazardous chemicals, the big model will generate a corresponding emergency response plan and recommend that the commander issue an evacuation order.

[0110] After receiving the instructions recommended by the big model, each command post can quickly review them through the system interface, and after confirming that they are correct, they can issue them to the executing unit with one click. This step greatly improves the efficiency and accuracy of instruction transmission and ensures a rapid response to police situations.

[0111] The key point synchronization module is used to use the police command model in combination with the police knowledge base to identify the key points of handling the corresponding police situation and synchronize them to the target terminal.

[0112] Specifically, the big model automatically identifies and updates the elements of police situations by continuously monitoring the real-time dynamics of police situation handling. The system will push updated business information to the commander in real time, such as the latest location of the suspect, progress of on-site handling, etc., to provide strong data support for command decision-making.

[0113] The information receiving module is also used to receive police feedback information of the case and update the handling points in real time based on the police feedback information.

[0114] Specifically, it receives the police handling information fed back by the terminal at the scene of the case. In the process of executing the task, the personnel performing the task on site will provide real-time feedback on the progress of the task and the situation on site through the system, and the feedback information will be synchronized to the system through the message queue to ensure that the command center can grasp the dynamics of the scene in real time so as to conduct further command and dispatch according to the actual situation.

[0115] The risk monitoring module is used to continuously monitor the police feedback information and use the police command model to determine whether there are abnormalities and potential risks.

[0116] Specifically, based on the real-time feedback and development trends of the police situation, the big model can intelligently determine whether it is necessary to upgrade the situation. For example, if the situation on the scene deteriorates, the big model will prompt the commander to consider reinforcement or adjust the handling strategy to ensure that the police situation is effectively controlled.

[0117] Another embodiment of the police affairs processing system based on large model technology collaboration provided by the present application, based on the above system embodiment, the plan generation module further includes:

[0118] The data analysis submodule is used to analyze the key data of the current police situation through the police command model and extract the characteristics of the police situation.

[0119] The case matching submodule is used to match historical cases with high similarity in the police knowledge base based on the characteristics of the police situation, integrate and analyze the historical cases, and generate multiple disposal plans and instruction sets for the current police situation.

[0120] The plan analysis submodule is used to automatically generate the advantages, feature labels, recommendation and matching degree of each disposal plan according to the content and structure of the plan during the plan generation process. This information helps relevant personnel to select the most appropriate target disposal plan from multiple disposal plans.

[0121] Specifically, based on general instruction sets, feature instruction sets, historical cases and actual situation information of current events, the big model algorithm is used to automatically generate the most appropriate handling points and handling guidance information for commanders.

[0122] The general instruction set contains the instructions needed for large models to perform basic tasks, similar to the instruction set of a computer CPU, which defines the types of operations that the model can perform. The feature instruction set is optimized for specific tasks or fields, making the model more efficient and accurate when processing specific types of data or tasks.

[0123] According to the current information and disposal points, a variety of corresponding disposal instructions are automatically generated for commanders to choose from, reducing the commander's instruction editing process. The commander selects the appropriate instruction from the instruction list provided by the big model and sends it to the command post with one click.

[0124] Another embodiment of the police affairs processing system based on large model technology collaboration provided by the present application, the police affairs processing system based on large model technology collaboration further includes:

[0125] The handling report generation module is used to use the police command model to automatically integrate the police information of the case and the police feedback information to generate a police handling report for the case. The police handling report is synchronized to the superior management terminal for case summary and arrangement.

[0126] Specifically, at any stage of combined operations, commanders can generate various reports through the system with one click, including police situation handling reports to superiors, government departments or public security departments. These reports will automatically contain key information such as police situation overview, handling process, current status and follow-up suggestions, simplifying the workload of report writing.

[0127] Another embodiment of the police affairs processing system based on large model technology collaboration provided by the present application, the police affairs processing system based on large model technology collaboration further includes:

[0128] The police situation review module is used to use the police command model to review and analyze the entire process of the completed case handling. Summarize the advantages and disadvantages of the case handling process, optimize and improve the handling plan of historical cases and the corresponding consequences.

[0129] The database management module is used to integrate the optimized handling solutions of police cases into the police knowledge base, so that when new cases are handled, the handling solutions of historical cases can be called and dispatched through the police command model as a reference.

[0130] Specifically, after the combined operation is over, the system will provide a police situation review function, so that the commander can review the entire operation process, summarize the experience and lessons, and feed them back to the police knowledge base. This will help to continuously improve the intelligence level of command and dispatch, and provide a reference for the handling of similar police situations in the future.

[0131] Reference Manual Attached Figure 3 This application is based on a police processing system based on large model technology collaboration, which consists of three major parts, namely the public security police command system front-end (front end), the smart business middle-end (superior management terminal) and the database background (back end).

[0132] The front desk of the public security police command system is responsible for the aggregation, analysis, integration and visualization of police information, displaying information such as personnel deployment, personnel mobilization, various tasks, unit dynamics, equipment, intelligence, etc., and can also realize the issuance of police dispatch command information and the tracking and display of feedback on the execution of commands.

[0133] The smart business center is the center of the command system, responsible for data reception and distribution, system management and decision-making, user applications, establishment of scheduling strategies, data storage, etc. The smart business center adopts a multi-machine cluster composition method to ensure the stability, fault tolerance, security and rapid response of the system, and is easy to expand and maintain.

[0134] Database service is an important part of the big data base and is responsible for data storage and management, including knowledge database, experience database, command business database, etc.

[0135] Based on any of the above system embodiments, another embodiment of the police processing system based on the big model technology collaboration in this embodiment further includes: a police command big model construction module, which is used to construct the police command big model. It is also used to train the police command big model using the police information and police feedback information of historical cases.

[0136] The police processing method and system based on large model technology collaboration of this application have the same technical concept, and the technical details of the two embodiments are applicable to each other. In order to reduce repetition, they will not be repeated here.

[0137] Those skilled in the art can clearly understand that, for the convenience and simplicity of description, only the division of the above-mentioned program modules is used as an example for illustration. In actual applications, the above-mentioned functions can be assigned to different program modules as needed, that is, the internal structure of the device can be divided into different program units or modules to complete all or part of the functions described above. The program modules in the embodiment can be integrated into a processing unit, or each unit can exist physically separately, or two or more units can be integrated into a processing unit, and the above-mentioned integrated unit can be implemented in the form of hardware or in the form of software program units. In addition, the specific names of the program modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application.

[0138] Although the preferred embodiments of the present application have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present application.

Claims

1. A police handling method based on large model technology collaboration, characterized in that: The steps include: Collect police information from multiple channels, and use the police command model to pre-process the collected police information, including data cleaning, data labeling, and data integration; Use the police command model to automatically identify the pre-processed police information to obtain key data; The key data is automatically filled into the police case filing template to update the police information; Using the police command big model to analyze the key data to generate a disposal plan and instruction set for the current police situation; After confirming that the response plan and the set of instructions are correct, they are sent to the next level of execution unit so that appropriate police forces can be dispatched to the scene of the incident; Use the police command model in combination with the police knowledge base to identify the key points of handling the corresponding police situation and synchronize them to the target terminal; receive the police situation feedback information of the case, and update the key points of handling in real time based on the police situation feedback information; The police feedback information is continuously monitored, and the police command model is used to determine whether there are abnormalities and potential risks.

2. The police handling method based on large model technology collaboration as claimed in claim 1 is characterized in that: The method of using the police command model to analyze the key data to generate a disposal plan and instruction set for the current police situation includes the following steps: Analyze the key data of the current police situation through the police command big model to extract the characteristics of the police situation; Based on the characteristics of the police situation, historical cases with high similarity are matched in the police knowledge base; the historical cases are integrated and analyzed to generate multiple disposal plans and instruction sets for the current police situation; In the process of generating plans, the advantages, feature labels, recommendation degree and matching degree of each disposal plan are automatically generated according to the content and structure of the plan; this information helps relevant personnel to select the most appropriate target disposal plan from multiple disposal plans.

3. The police handling method based on large model technology collaboration as claimed in claim 1 is characterized in that: Also includes: Using the police command model to automatically integrate the police information of the case and the police feedback information to generate a police handling report of the case; The police situation handling report will be synchronized to the superior management terminal for case summary and organization.

4. The police handling method based on the police command big model collaboration as claimed in claim 1 is characterized in that: Also includes: Use the police command model to review the entire process of completed case handling; Summarize the advantages and disadvantages of the case handling process, optimize and improve the handling solutions of historical cases and the corresponding consequences; The optimized handling solutions for police cases are integrated into the police knowledge base so that when new cases are handled, the handling solutions for historical cases can be called and dispatched through the police command model as a reference.

5. The police handling method based on the police command big model collaboration as described in any one of claims 1 to 4, characterized in that: Also includes: Constructing the police command model; The police command model is trained using police information and police feedback information from historical cases.

6. The police processing system based on large model technology collaboration is characterized by: include: Information receiving module, used to collect multi-channel police information; An information processing module, used to perform data preprocessing on the collected police information using the police command model, including data cleaning, data labeling, and data integration; An information identification module, used to automatically identify the pre-processed police information using the police command model to obtain key data therein; Also used for: automatically filling the key data into the key elements of the alarm situation to update the alarm situation information; A plan generation module, used to analyze the key data using the police command model to generate a disposal plan and instruction set for the current police situation; The instruction issuing module is used to issue the emergency plan and the instruction set to the next level execution unit after confirming that they are correct, so as to dispatch appropriate police forces to the scene of the incident; A key point synchronization module is used to use the police command model in combination with the police knowledge base to identify the key points of handling the corresponding police situation and synchronize them to the target terminal; The information receiving module is also used to receive police feedback information of the case, and update the handling points in real time based on the police feedback information; The risk monitoring module is used to continuously monitor the police feedback information and use the police command model to determine whether there are abnormalities and potential risks.

7. The police affairs processing system based on large model technology collaboration as claimed in claim 6 is characterized in that: The plan generation module also includes: A data analysis submodule is used to analyze the key data of the current police situation through the police command model to extract the characteristics of the police situation; The case matching submodule is used to match historical cases with high similarity in the police knowledge base based on the characteristics of the police situation; integrate and analyze the historical cases to generate multiple disposal plans and instruction sets for the current police situation; The plan analysis submodule is used to automatically generate the advantages, feature labels, recommendation degree and matching degree of each disposal plan according to the content and structure of the plan during the process of generating the plan; this information helps relevant personnel to select the most appropriate target disposal plan from multiple disposal plans.

8. The police affairs processing system based on large model technology collaboration as claimed in claim 6 is characterized in that: Also includes: A handling report generating module, used to automatically integrate the police information of the case and the police feedback information using the police command big model to generate a police handling report of the case; The police situation handling report will be synchronized to the superior management terminal for case summary and organization.

9. The police affairs processing system based on large model technology collaboration as claimed in claim 6, characterized in that: Also includes: A police situation review module is used to review and analyze the entire process of completed case handling using the police command model; Summarize the advantages and disadvantages of the case handling process, optimize and improve the handling solutions of historical cases and the corresponding consequences; The database management module is used to integrate the optimized handling solutions of police cases into the police knowledge base, so that when new cases are handled, the handling solutions of historical cases can be called and dispatched through the police command model as a reference.

10. The police affairs processing system based on large model technology collaboration as described in any one of claims 6 to 9, characterized in that: Also includes: The police command big model construction module is used to construct the police command big model; it is also used to train the police command big model using the police information and police feedback information of historical cases.

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