An automatic distribution system for law enforcement inspection matters based on a machine learning model

Abstract

The present invention provides an automatic distribution system for law enforcement inspection matters based on a machine learning model, which relates to the field of data processing and includes: a list acquisition module for acquiring a list of duties and powers; a model establishment module for establishing a law enforcement inspection matching model based on the list of duties and powers; a request receiving module for receiving inspection requests; a matter determination module for determining at least one inspection matter based on the inspection requests; a department determination module for determining at least one target law enforcement department corresponding to the inspection requests through the law enforcement inspection matching model; a task generation module for generating law enforcement inspection tasks corresponding to each target law enforcement department through the law enforcement inspection matching model based on at least one inspection matter and at least one target law enforcement department corresponding to the inspection requests; and a task release module for releasing the law enforcement inspection tasks to the corresponding target law enforcement departments, having the advantage of improving the matching degree between the distribution of law enforcement inspection tasks and the departments.

Description

Technical Field

[0001] The present invention relates to the field of data processing, and particularly to an automatic distribution system for law enforcement inspection matters based on a machine learning model. Background Art

[0002] At present, the Internet is deeply integrated with various fields, and new industries, new business forms, and new models such as network economy, sharing economy, and online-offline interaction are emerging continuously. The cross-regional and cross-field characteristics of economic operation and market entity behavior are becoming increasingly prominent, posing new requirements for government supervision. Every time the law enforcement department conducts law enforcement inspection work, it is necessary to manually distribute law enforcement inspection tasks, and manual distribution is prone to the situation that the law enforcement inspection tasks do not match the departments.

[0003] Therefore, it is necessary to provide an automatic distribution system for law enforcement inspection matters based on a machine learning model to improve the matching degree between law enforcement inspection task distribution and departments. Summary of the Invention

[0004] One embodiment of the present specification provides an automatic distribution system for law enforcement inspection matters based on a machine learning model, including: a list acquisition module, configured to acquire a list of duties and powers, wherein the list of duties and powers is used to record the duties and power matters corresponding to each law enforcement department; a model establishment module, configured to establish a law enforcement inspection matching model based on the list of duties and powers; a request receiving module, configured to receive an inspection request; a matter determination module, configured to determine at least one inspection matter based on the inspection request; a department determination module, configured to determine at least one target law enforcement department corresponding to the inspection request through the law enforcement inspection matching model; a task generation module, configured to generate a law enforcement inspection task corresponding to each target law enforcement department through the law enforcement inspection matching model based on the at least one inspection matter and the at least one target law enforcement department corresponding to the inspection request; and a task publishing module, configured to publish the law enforcement inspection task to the corresponding target law enforcement department.

[0005] In some embodiments, the list acquisition module is further configured to: receive feedback information of at least one of the target law enforcement departments, wherein the feedback information at least includes the matching degree between the target law enforcement department and the corresponding law enforcement inspection task; update the list of duties and powers based on the feedback information of at least one of the target law enforcement departments; and the model establishment module is further configured to update the law enforcement inspection matching model based on the updated list of duties and powers.

[0006] In some embodiments, the department determination module is further configured to establish a department relationship graph, where the department relationship graph is used to record the association relationships of each law enforcement department; the department determination module determines at least one target law enforcement department corresponding to the inspection request through the law enforcement inspection matching model, including: determining at least one target law enforcement department corresponding to the inspection request through the law enforcement inspection matching model and the department relationship graph.

[0007] In some embodiments, the department determination module determines at least one target law enforcement department corresponding to the inspection request through the law enforcement inspection matching model and the department relationship graph, including: the law enforcement inspection matching model determines one target law enforcement department corresponding to the inspection request based on the at least one inspection item; the law enforcement inspection matching model determines other target law enforcement departments based on the at least one inspection item and the department relationship graph.

[0008] In some embodiments, the task distribution module is further configured to: for each law enforcement department, obtain relevant information of the law enforcement officers of the law enforcement department and establish multiple law enforcement officer portraits of the law enforcement department; for each law enforcement inspection task, determine at least one target law enforcement officer for performing the law enforcement inspection task based on the multiple law enforcement officer portraits of the target law enforcement department corresponding to the law enforcement inspection task.

[0009] In some embodiments, the task distribution module is further configured to: for each law enforcement inspection task, encrypt the information of the law enforcement inspection task and the information of at least one target law enforcement officer for performing the law enforcement inspection task to generate an encrypted law enforcement inspection task data packet; and publish the encrypted law enforcement inspection task data packet to the terminal devices used by at least one target law enforcement officer for performing the law enforcement inspection task.

[0010] In some embodiments, the system further includes: a result acquisition module, including at least one result acquisition device, where the result acquisition device is used to acquire the law enforcement inspection result of the law enforcement inspection task.

[0011] In some embodiments, the result acquisition module is further configured to: for each law enforcement inspection task, determine at least one target result acquisition device from the at least one result acquisition device based on the relevant information of the law enforcement inspection task; the target result acquisition device automatically acquires the law enforcement inspection process and result of the law enforcement inspection task.

[0012] In some embodiments, the target result acquisition device automatically acquires the law enforcement inspection process and results of the law enforcement inspection task, including: acquiring the real-time position of the result acquisition device; determining the law enforcement inspection area based on the law enforcement inspection destination of the law enforcement inspection task; when the real-time position of the result acquisition device is within the law enforcement inspection area, turning on the result acquisition device to perform personnel verification on the law enforcement officers; after the personnel verification is passed, the result acquisition device automatically acquires the law enforcement inspection process and results of the law enforcement inspection task.

[0013] In some embodiments, the result acquisition device is further configured to: encrypt the acquired law enforcement inspection results of the law enforcement inspection task to generate an encrypted law enforcement inspection result data packet; upload the encrypted law enforcement inspection result data packet to the result acquisition module.

[0014] Compared with the prior art, an automatic distribution system for law enforcement inspection matters based on a machine learning model provided in this specification has at least the following beneficial effects:

[0015] 1. The automatic distribution system for law enforcement inspection matters based on a machine learning model acquires the list of responsibility and power matters, clarifies the responsibilities and power matters corresponding to each law enforcement department. Further, in combination with machine learning, an enforcement inspection matching model is established, and through the enforcement inspection matching model, at least one target law enforcement department corresponding to the inspection request is determined. Based on at least one inspection matter and at least one target law enforcement department corresponding to the inspection request, an enforcement inspection task corresponding to each target law enforcement department is generated, and the enforcement inspection task is issued to the corresponding target law enforcement department. Compared with the manual distribution of inspection matters, the matching degree between the enforcement inspection task distribution and the department is higher, and the efficiency is also higher.

[0016] 2. The responsibilities and power matters corresponding to each law enforcement department may change. Therefore, based on the feedback information of at least one target law enforcement department, the list of responsibility and power matters is updated, and based on the updated list of responsibility and power matters, the enforcement inspection matching model is updated, which can ensure the accuracy of subsequent inspection matter distribution.

[0017] 3. Compared with other law enforcement departments, the law enforcement departments associated with the target law enforcement department have a greater possibility of matching the remaining inspection matters. Therefore, preferentially matching the law enforcement departments associated with the target law enforcement department and the remaining inspection matters can improve the efficiency of determining other target law enforcement departments. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] This specification will be further described by way of exemplary embodiments, which will be described in detail through the accompanying drawings. These embodiments are not restrictive. In these embodiments, the same numbers represent the same structures, where:

[0019] Figure 1 It is a schematic diagram of modules of an automatic distribution system for law enforcement inspection matters based on a machine learning model shown in some embodiments of this specification;

[0020] Figure 2 It is a schematic flowchart of the law enforcement inspection process and results for obtaining law enforcement inspection tasks shown in some embodiments of this specification. Detailed implementation manners

[0021] To more clearly illustrate the technical solutions of the embodiments of this specification, the following will briefly introduce the accompanying drawings required for the description of the embodiments. Obviously, the accompanying drawings in the following description are only some examples or embodiments of this specification. For those of ordinary skill in the art, without creative efforts, this specification can also be applied to other similar scenarios based on these drawings. Unless obvious from the language context or otherwise stated, the same reference numerals in the figures represent the same structure or operation.

[0022] It should be understood that the "system", "device", "unit" and / or "module" used herein is a method for distinguishing different components, elements, parts, portions or assemblies at different levels. However, if other words can achieve the same purpose, the said words can be replaced by other expressions.

[0023] As shown in this specification and the claims, unless the context clearly indicates an exception, words such as "a", "an", "one" and / or "the" are not specifically singular and may also include the plural. Generally speaking, the terms "comprising" and "including" only indicate the inclusion of the clearly identified steps and elements, and these steps and elements do not constitute an exclusive list. The method or device may also include other steps or elements.

[0024] Flowcharts are used in this specification to illustrate the operations performed by the systems according to the embodiments of this specification. It should be understood that the operations before or after do not necessarily need to be executed precisely in sequence. On the contrary, they can be executed in reverse order or simultaneously. At the same time, other operations can also be added to these processes, or one or several steps can be removed from these processes.

[0025] Figure 1 It is a schematic diagram of modules of an automatic distribution system for law enforcement inspection matters based on a machine learning model shown in some embodiments of this specification. As Figure 1 shown, the modules of an automatic distribution system for law enforcement inspection matters based on a machine learning model may include a list acquisition module, a model establishment module, a request reception module, a matter determination module, a department determination module, a task generation module, a task release module and a result acquisition module.

[0026] The list acquisition module can be used to acquire the list of duties and powers.

[0027] Among them, the list of duties and powers is used to record the corresponding duties and rights of each law enforcement department.

[0028] The model establishment module can be used to establish a law enforcement inspection matching model based on the list of duties and powers.

[0029] The law enforcement inspection matching model can be a machine learning model such as an Artificial Neural Network (ANN) model, a Recurrent Neural Networks (RNN) model, a Long Short-Term Memory (LSTM) model, a Bidirectional Recurrent Neural Network (BRNN) model, etc.

[0030] In some embodiments, the model establishment module first formulates a distribution rule, forms an automatic distribution algorithm, establishes an initial law enforcement inspection matching model, and obtains a plurality of training samples. Among them, the training samples can include sample inspection requests, and the labels of the training samples can be all target law enforcement departments corresponding to the sample inspection requests determined based on the list of duties and powers and at least one inspection item corresponding to the sample inspection requests executed by the target law enforcement department.

[0031] The request receiving module can be used to receive inspection requests.

[0032] The request receiving module can obtain inspection requests from an external data source. The inspection requests can include information related to law enforcement inspections. For example, the inspection requests can include information such as inspection objects, inspection locations, inspection times, and at least one inspection item.

[0033] The item determination module can be used to determine at least one inspection item based on the inspection request.

[0034] The department determination module can be used to determine at least one target law enforcement department corresponding to the inspection request through the law enforcement inspection matching model.

[0035] In some embodiments, the department determination module is further used to establish a department relationship graph, where the department relationship graph is used to record the association relationships of each law enforcement department.

[0036] In some embodiments, the department determination module determines at least one target law enforcement department corresponding to the inspection request through the law enforcement inspection matching model, including:

[0037] Determining at least one target law enforcement department corresponding to the inspection request through the law enforcement inspection matching model and the department relationship graph.

[0038] Specifically, the department determination module can obtain historical data, determine the number of joint law enforcement inspections between any two law enforcement departments, and then determine the correlation between the two law enforcement departments based on the number of joint law enforcement inspections between the two law enforcement departments. It can be understood that the more times the two law enforcement departments conduct joint law enforcement inspections, the greater the correlation between the two law enforcement departments. When the correlation between the two law enforcement departments is greater than the preset correlation threshold, there is a correlation between the two law enforcement departments. A department relationship graph is established based on the above process.

[0039] In some embodiments, the department determination module determines at least one target law enforcement department corresponding to the inspection request through the law enforcement inspection matching model and the department relationship graph, including:

[0040] The law enforcement inspection matching model determines a target law enforcement department corresponding to the inspection request based on at least one inspection item;

[0041] The law enforcement inspection matching model determines other target law enforcement departments based on at least one inspection item and the department relationship graph.

[0042] Specifically, after the law enforcement inspection matching model determines a target law enforcement department corresponding to the inspection request based on at least one inspection item, if the target law enforcement department cannot complete all the inspection items, other target law enforcement departments need to be determined. The law enforcement inspection matching model can, based on the department relationship graph, first match the law enforcement departments having an associated relationship with the target law enforcement department and the remaining inspection items to determine other target law enforcement departments.

[0043] It can be understood that compared with other law enforcement departments, the law enforcement departments having an associated relationship with the target law enforcement department have a greater possibility of matching the remaining inspection items. Therefore, first matching the law enforcement departments having an associated relationship with the target law enforcement department and the remaining inspection items can improve the efficiency of determining other target law enforcement departments.

[0044] The task generation module can be used to generate law enforcement inspection tasks corresponding to each target law enforcement department through the law enforcement inspection matching model based on at least one inspection item and at least one target law enforcement department corresponding to the inspection request.

[0045] Among them, the law enforcement inspection task may include information such as the object, location, time of the law enforcement inspection by the target law enforcement department, and at least one inspection item to be executed.

[0046] The task publishing module can be used to publish the law enforcement inspection tasks to the corresponding target law enforcement departments.

[0047] In some embodiments, the list acquisition module is further used for:

[0048] Receive feedback information from at least one target law enforcement department, where the feedback information at least includes the matching degree between the target law enforcement department and the corresponding law enforcement inspection task;

[0049] Update the list of responsibilities and powers based on the feedback information from at least one target law enforcement department.

[0050] The model establishment module is also used to update the law enforcement inspection matching model based on the updated list of responsibilities and powers.

[0051] It can be understood that the responsibilities and rights of each law enforcement department may change. Therefore, updating the list of responsibilities and powers based on the feedback information from at least one target law enforcement department and updating the law enforcement inspection matching model based on the updated list of responsibilities and powers can ensure the accuracy of subsequent inspection task distribution.

[0052] In some embodiments, the task publishing module is also used to:

[0053] For each law enforcement department, obtain the relevant information of the law enforcement officers of the law enforcement department and establish multiple portraits of law enforcement officers of the law enforcement department;

[0054] For each law enforcement inspection task, determine at least one target law enforcement officer for performing the law enforcement inspection task based on the multiple portraits of law enforcement officers of the target law enforcement department corresponding to the law enforcement inspection task.

[0055] Among them, the portrait of a law enforcement officer may include the law enforcement certificate number of the law enforcement officer, skill information, relevant information of the completed law enforcement inspection tasks, and the currently remaining uncompleted law enforcement inspection tasks.

[0056] In some embodiments, for each law enforcement inspection task, the task publishing module can determine at least one target law enforcement officer for performing the law enforcement inspection task based on the multiple portraits of law enforcement officers of the target law enforcement department corresponding to the law enforcement inspection task through a personnel matching model. Among them, the personnel matching model can be a machine learning model such as an artificial neural network (ANN) model, a recurrent neural network (RNN) model, a long short-term memory network (LSTM) model, or a bidirectional recurrent neural network (BRNN) model.

[0057] In some embodiments, the task publishing module is also used to:

[0058] For each law enforcement inspection task, encrypt the information of the law enforcement inspection task and the information of at least one target law enforcement officer for performing the law enforcement inspection task to generate an encrypted law enforcement inspection task data packet;

[0059] The encrypted law enforcement inspection task data packet is published to the terminal device used by at least one target law enforcement officer for performing the law enforcement inspection task.

[0060] Specifically, the task publishing module first uses the public key corresponding to the terminal device used by the target law enforcement officer to encrypt the information of the law enforcement inspection task and the information of at least one target law enforcement officer for performing the law enforcement inspection task for the first time to generate the first encrypted task-related data, and then performs a second encryption on the first encrypted task-related data based on the terminal device used by the target law enforcement officer and the unique identification code of the law enforcement department to generate the encrypted law enforcement inspection task data packet.

[0061] It can be understood that by encrypting the information of the law enforcement inspection task and the information of at least one target law enforcement officer for performing the law enforcement inspection task, the relevant information of the law enforcement inspection task is prevented from being stolen during the process of publishing the law enforcement inspection task.

[0062] The result acquisition module can be used to acquire the law enforcement inspection result of the law enforcement inspection task.

[0063] In some embodiments, the result acquisition module may include at least one result acquisition device, wherein the result acquisition device is used to acquire the law enforcement inspection result of the law enforcement inspection task.

[0064] Among them, the result acquisition device may include various devices for information collection, such as cameras, microphones, etc.

[0065] In some embodiments, the result acquisition module may also be used for:

[0066] For each law enforcement inspection task, based on the relevant information of the law enforcement inspection task, at least one target result acquisition device is determined from at least one result acquisition device;

[0067] The target result acquisition device automatically acquires the law enforcement inspection process and result of the law enforcement inspection task.

[0068] Specifically, for each law enforcement inspection task, the result acquisition module may determine the candidate result acquisition devices available for the target law enforcement department from at least one result acquisition device based on the target law enforcement department that performs the law enforcement inspection task, and determine at least one target result acquisition device from the candidate result acquisition devices according to the relevant information of the result acquisition device (such as whether it is faulty, the number of uncompleted law enforcement inspection tasks, etc.).

[0069] Figure 2 It is a schematic flow chart of acquiring the law enforcement inspection process and result of the law enforcement inspection task shown in some embodiments of this specification, as Figure 2As shown, in some embodiments, the target result acquisition device automatically acquires the law enforcement inspection process and results of a law enforcement inspection task, including:

[0070] Acquire the real-time location of the result acquisition device;

[0071] Based on the law enforcement inspection destination of the law enforcement inspection task, determine the law enforcement inspection area, where the law enforcement inspection destination is located within the law enforcement inspection area;

[0072] When the real-time location of the result acquisition device is within the law enforcement inspection area, activate the result acquisition device to perform personnel verification on the law enforcement officers, such as fingerprint verification, voice verification, face verification, etc.;

[0073] After the personnel verification is passed, the result acquisition device automatically acquires the law enforcement inspection process and results of the law enforcement inspection task.

[0074] It can be understood that through the above process, it is possible to reduce the acquisition of invalid data and the security of data acquisition.

[0075] In some embodiments, the result acquisition device is also used for:

[0076] Encrypt the law enforcement inspection results of the acquired law enforcement inspection task to generate an encrypted law enforcement inspection result data packet;

[0077] Upload the encrypted law enforcement inspection result data packet to the result acquisition module.

[0078] Specifically, the result acquisition device can perform a first encryption on the law enforcement inspection results of the acquired law enforcement inspection task based on the corresponding private key to generate a first encrypted law enforcement inspection result, and then perform a second encryption on the first encrypted law enforcement inspection result based on the unique identification code of the result acquisition device and the relevant information of the executed law enforcement inspection task (such as inspection object, inspection time, inspection location, etc.) to generate an encrypted law enforcement inspection result data.

[0079] It can be understood that after encrypting the law enforcement inspection results of the acquired law enforcement inspection task and then uploading the encrypted law enforcement inspection result data packet to the result acquisition module, it can effectively prevent the law enforcement inspection result data from being maliciously stolen by others.

[0080] The basic concepts have been described above. Obviously, for those skilled in the art, the above detailed disclosure is only an example and does not constitute a limitation to this specification. Although not explicitly stated here, those skilled in the art may make various modifications, improvements, and corrections to this specification. Such modifications, improvements, and corrections are suggested in this specification, so such modifications, improvements, and corrections still fall within the spirit and scope of the exemplary embodiments of this specification.

[0081] Meanwhile, this specification uses specific terms to describe the embodiments of this specification. For example, "an embodiment", "one embodiment", and / or "some embodiments" mean a certain feature, structure, or characteristic related to at least one embodiment of this specification. Therefore, it should be emphasized and noted that the "one embodiment" or "an embodiment" or "an alternative embodiment" mentioned twice or more at different positions in this specification does not necessarily refer to the same embodiment. In addition, certain features, structures, or characteristics in one or more embodiments of this specification can be appropriately combined.

[0082] Moreover, unless clearly stated in the claims, the order of the processing elements and sequences, the use of numerical letters, or the use of other names in this specification are not used to limit the order of the processes and methods in this specification. Although some currently considered useful embodiments of the invention are discussed through various examples in the above disclosure, it should be understood that such details only serve the purpose of illustration. The appended claims are not limited to the disclosed embodiments. On the contrary, the claims are intended to cover all modifications and equivalent combinations that conform to the essence and scope of the embodiments of this specification. For example, although the system components described above can be implemented by hardware devices, they can also be implemented only through software solutions, such as installing the described system on existing servers or mobile devices.

[0083] Similarly, it should be noted that, in order to simplify the expression of the disclosure in this specification and thus help the understanding of one or more embodiments of the invention, in the previous description of the embodiments of this specification, sometimes multiple features are merged into one embodiment, drawing, or description thereof. However, this disclosure method does not mean that the features required by the subject matter of this specification are more than those mentioned in the claims. In fact, the features of the embodiments are less than all the features of the individual embodiments disclosed above.

[0084] Finally, it should be understood that the embodiments described in this specification are only used to illustrate the principles of the embodiments of this specification. Other variations may also fall within the scope of this specification. Therefore, by way of example and not limitation, alternative configurations of the embodiments of this specification can be considered to be in accordance with the teachings of this specification. Accordingly, the embodiments of this specification are not limited to the embodiments clearly introduced and described in this specification.

Claims

1. An automatic distribution system for law enforcement inspection matters based on a machine learning model, characterized in that, Including: A list acquisition module, configured to acquire a list of responsibilities and powers, where the list of responsibilities and powers is used to record the responsibilities and power items corresponding to each law enforcement department; A model establishment module, configured to establish a law enforcement inspection matching model based on the list of responsibilities and powers; A request receiving module, configured to receive inspection requests; An item determination module, configured to determine at least one inspection item based on the inspection request; A department determination module, configured to determine at least one target law enforcement department corresponding to the inspection request through the law enforcement inspection matching model; A task generation module, configured to generate law enforcement inspection tasks corresponding to each of the target law enforcement departments through the law enforcement inspection matching model based on the at least one inspection item and the at least one target law enforcement department corresponding to the inspection request; A task publishing module, configured to publish the law enforcement inspection tasks to the corresponding target law enforcement departments; Wherein, the department determination module is further configured to establish a department relationship graph, where the department relationship graph is used to record the association relationships between law enforcement departments. Specifically, historical data is acquired to determine the number of times of joint law enforcement inspections between any two law enforcement departments, and then based on the number of times of joint law enforcement inspections between the two law enforcement departments, the association degree between the two law enforcement departments is determined. The more times the two law enforcement departments conduct joint law enforcement inspections, the greater the association degree between the two law enforcement departments. When the association degree between the two law enforcement departments is greater than a preset association degree threshold, there is an association relationship between the two law enforcement departments, and a department relationship graph is established; The department determination module determines at least one target law enforcement department corresponding to the inspection request through the law enforcement inspection matching model, including: Determining at least one target law enforcement department corresponding to the inspection request through the law enforcement inspection matching model and the department relationship graph; The department determination module determines at least one target law enforcement department corresponding to the inspection request through the law enforcement inspection matching model and the department relationship graph, including: The law enforcement inspection matching model determines a target law enforcement department corresponding to the inspection request based on at least one inspection item; The law enforcement inspection matching model determines other target law enforcement departments based on at least one inspection item and the department relationship graph. Specifically, after the law enforcement inspection matching model determines a target law enforcement department corresponding to the inspection request based on at least one inspection item, if this target law enforcement department cannot complete all the inspection items, other target law enforcement departments need to be determined. The law enforcement inspection matching model preferentially matches the law enforcement departments having an association relationship with this target law enforcement department and the remaining inspection items based on the department relationship graph to determine other target law enforcement departments.

2. The automatic distribution system for law enforcement inspection matters based on a machine learning model according to claim 1, wherein The list acquisition module is further configured to: Receive feedback information from at least one of the target law enforcement departments, where the feedback information at least includes the matching degree between the target law enforcement department and the corresponding law enforcement inspection task; Update the list of responsibilities and powers based on the feedback information from at least one of the target law enforcement departments; The model establishment module is further configured to update the law enforcement inspection matching model based on the updated list of responsibilities and powers; 3. The automatic distribution system for law enforcement inspection matters based on a machine learning model according to claim 1 or 2, characterized in that, The task publishing module is further configured to: For each of the law enforcement departments, obtain relevant information of the law enforcement officers of the law enforcement department, and establish multiple portraits of law enforcement officers of the law enforcement department; For each of the law enforcement inspection tasks, based on the multiple portraits of law enforcement officers of the target law enforcement department corresponding to the law enforcement inspection task, determine at least one target law enforcement officer for performing the law enforcement inspection task.

4. The automatic distribution system for law enforcement inspection matters based on a machine learning model according to claim 3, characterized in that, The task publishing module is further configured to: For each of the law enforcement inspection tasks, encrypt the information of the law enforcement inspection task and the information of at least one target law enforcement officer for performing the law enforcement inspection task, and generate an encrypted law enforcement inspection task data packet; Publish the encrypted law enforcement inspection task data packet to the terminal devices used by at least one target law enforcement officer for performing the law enforcement inspection task.

5. The automatic distribution system for law enforcement inspection matters based on a machine learning model according to claim 1 or 2, characterized in that, It further includes: A result acquisition module, including at least one result acquisition device, wherein the result acquisition device is used to acquire the law enforcement inspection results of the law enforcement inspection task.

6. The automatic distribution system for law enforcement inspection matters based on a machine learning model according to claim 5, wherein, The result acquisition module is further configured to: For each of the law enforcement inspection tasks, based on the relevant information of the law enforcement inspection task, determine at least one target result acquisition device from the at least one result acquisition device; The target result acquisition device automatically acquires the law enforcement inspection process and results of the law enforcement inspection task.

7. An automatic distribution system for law enforcement inspection matters based on a machine learning model according to claim 6, characterized in that, The target result acquisition device automatically acquires the law enforcement inspection process and results of the law enforcement inspection task, including: Obtain the real-time location of the result acquisition device; Based on the law enforcement inspection destination of the law enforcement inspection task, determine the law enforcement inspection area; When the real-time location of the result acquisition device is within the law enforcement inspection area, activate the result acquisition device to perform personnel verification on the law enforcement officers; After the personnel verification is passed, the result acquisition device automatically acquires the law enforcement inspection process and results of the law enforcement inspection task.

8. The automatic distribution system for law enforcement inspection matters based on a machine learning model according to claim 7, characterized in that, The result acquisition device is further configured to: Encrypt the obtained law enforcement inspection results of the law enforcement inspection task to generate an encrypted law enforcement inspection result data packet; Upload the encrypted law enforcement inspection result data packet to the result acquisition module.

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