Urban governance commanding and dispatching system based on one-network unified management

Abstract

The invention relates to the technical field of city management, and discloses a city governance command and dispatch system based on one-network unified management. Comprising a work order queue summarizing module for summarizing civil complaint work orders of the same work order type into a work order queue, a target jurisdiction marking module for marking a target jurisdiction from an urban jurisdiction, a target jurisdiction dividing module for dividing the target jurisdiction into an emergency jurisdiction and a common jurisdiction, and a work order strategy analysis module for analyzing a command and dispatch strategy of the civil complaint work orders. According to the method, the problems of cross-jurisdiction matching and misjudgment of similar or similar public conditions and meanings in different urban jurisdictions can be avoided, the recognition accuracy of the target jurisdictions is improved, and the emergency priority degree of processing and solving the civil complaint work order of the target jurisdictions can be expressed from different time dimensions of the past time and the current moment; different analysis logics and ideas are provided for subsequent command and dispatch strategies, and the effects of intelligent analysis, research and judgment and command and dispatch treatment of the public hotspots are guaranteed.

Description

Technical Field

[0001] This invention relates to the field of urban management technology, and more specifically, to an urban governance command and dispatch system based on a unified network. Background Technology

[0002] The unified management system is a system that integrates information related to urban operation management and services, supported by cutting-edge technologies such as the Internet of Things, big data, and artificial intelligence. In promoting the construction of the unified urban operation management and dispatch system, it is necessary to combine the unified management system to conduct intelligent analysis and prediction of public opinion in the city, so as to strengthen the collection and analysis of government data, thereby promoting the construction of the urban social governance system and the modernization of governance capabilities.

[0003] The patent application with publication number CN116823155A discloses a method, device, electronic device and storage medium for urban event scheduling. It includes obtaining at least one urban event and configuration information corresponding to each urban event from at least one urban event management platform. This achieves the effect of event linkage and collaboration between different levels, different professions and different departments in the city. By performing similar fusion processing on various urban events to obtain target urban events, it can reduce the repetitive processing of similar events. By using target disposal strategies to schedule target urban events, it realizes the automatic execution of the scheduling tasks of target urban events according to the target disposal strategies. This breaks through the dilemma of difficult urban business collaboration, improves cross-departmental collaboration efficiency, saves administrative resources and improves urban governance efficiency. Existing urban governance command and dispatch systems typically rely on manual experience or specific rules to analyze the urgency priority of civil litigation work orders in different urban jurisdictions. This method limits the processing order of civil litigation work orders. However, this urgency priority analysis cannot collect and analyze historical and real-time data from different time periods within the urban jurisdiction in a multi-dimensional way. As a result, civil litigation work orders with different urgency priorities cannot be arranged in an orderly and reasonable manner. This can easily lead to delays in processing subsequent civil litigation work orders with higher urgency priorities, thereby reducing the effectiveness of the city's unified management system and hindering the efficient command and dispatch processing of the city under unified management.

[0004] In view of this, the present invention proposes an urban governance command and dispatch system based on a unified network to solve the above problems. Summary of the Invention

[0005] To overcome the aforementioned deficiencies of the existing technology and to achieve the above objectives, the present invention provides the following technical solution: a city governance command and dispatch system based on a unified network, applied to a command and dispatch center, comprising: The work order queue aggregation module is used to extract the work order semantics of civil litigation work orders from the sub-database, identify the work order type of civil litigation work orders based on the work order semantics, and the work order types include complaint work orders, help work orders, suggestion work orders and consultation work orders, and aggregate civil litigation work orders of the same type into a work order queue. The target jurisdiction marking module is used to parse out the work order attributes of civil litigation work orders in the work order queue, match the work order attributes with the jurisdiction attributes of the city jurisdiction one by one based on the attribute matching criteria, and mark the target jurisdiction from the city jurisdiction. The target jurisdiction division module is used to collect real-time and historical work order parameters of the target jurisdiction, identify the jurisdiction attributes of the target jurisdiction based on the attribute division criteria, including emergency attributes and normal attributes, and divide the target jurisdiction into emergency jurisdiction and normal jurisdiction. The work order strategy parsing module is used to extract the strategy features of civil litigation work orders through deep learning technology, parse the command and dispatch strategy of civil litigation work orders based on the strategy parsing model, and execute the command and dispatch strategies of emergency jurisdiction and ordinary jurisdiction in sequence.

[0006] Furthermore, the method for extracting work order semantics is as follows: By querying the timestamps of all civil litigation work orders in sub-database A, the civil litigation work orders in sub-database B are numbered in ascending order according to the chronological order of the timestamps. Query the text in the information boxes of B civil litigation work orders one by one, and record the information boxes with text as the target boxes to obtain B target boxes; Natural language processing technology was used to identify the notes in the B target boxes one by one, and the text portion of the notes was extracted to obtain the semantics of the B work orders.

[0007] Furthermore, the work order queue includes a complaint queue, a help queue, a suggestion queue, and an inquiry queue. The method for summarizing the work order queues is as follows: Semantic analysis was performed on the semantics of B civil litigation work orders in sequence; When the semantic meaning of a civil litigation work order is complaint, report, or appeal, the work order type is recorded as a complaint work order. When the semantic meaning of a civil litigation work order is "seeking help," "seeking assistance," or "providing aid," the work order type is recorded as a "seeking help work order." When the semantic meaning of a civil procedure work order is suggestion, appeal, or assertion, the work order type is recorded as suggestion work order; When the semantic meaning of a civil litigation work order is consultation, inquiry, or understanding, the work order type is recorded as consultation work order. Complaint work orders, assistance work orders, suggestion work orders, and consultation work orders are summarized in ascending order of their numbers to generate complaint queues, assistance queues, suggestion queues, and consultation queues.

[0008] Furthermore, the method for parsing work order attributes is as follows: The attribute management system is used to query the attribute semantics of civil litigation work orders in the complaint queue, help queue, suggestion queue and consultation queue one by one, and the numerical part of the attribute semantics is recorded as the attribute value. The attribute values ​​of the civil litigation work order are compared with the preset standard values ​​for consistency. The attribute semantics whose attribute values ​​are consistent with the preset standard values ​​are recorded as the target semantics, and the text part in the target semantics is recorded as the work order attribute, thus obtaining B work order attributes.

[0009] Furthermore, the attribute matching criterion is: to match sequentially according to the queue quantity values ​​in the work order queue from largest to smallest; The method for marking the target jurisdiction is as follows: The number of civil litigation work orders in the complaint queue, help queue, suggestion queue, and consultation queue were counted separately to obtain the values ​​for the four queues. Arrange the civil litigation work orders in the complaint queue, help queue, suggestion queue and consultation queue in descending order of queue value, and generate the first attribute row, the second attribute row, the third attribute row and the fourth attribute row. The work order attributes in the first, second, third, and fourth attribute rows are matched one by one with the jurisdiction attributes of the city jurisdiction, and the civil litigation work orders whose work order attributes match the jurisdiction attributes are added to the city jurisdiction. The number of civil litigation work orders in each urban district was counted, and urban districts with a number of civil litigation work orders exceeding the lower limit were designated as target districts. One target jurisdiction.

[0010] Furthermore, the real-time work order parameters include the work order quantity value and the work order percentage value. The methods for collecting the work order quantity value and the work order percentage value are as follows: Count them one by one The number of civil litigation cases within a target jurisdiction, obtained Work order quantity value; Will After summing up the quantities of each work order, the total work order value is obtained, and then... After comparing the value of each work order with the total work order value, the percentage of each work order is calculated.

[0011] Furthermore, historical work order parameters include effective dispatch rate and work order resolution rate; When collecting the effective dispatch rate, the current time is taken as the starting point, and the end point is marked after counting backwards by one standard time length. The time period between the starting point and the end point is recorded as the standard time period. Count them one by one The number of civil litigation work orders generated in a target jurisdiction within a standard time period is recorded as the generation value. Count the directions one by one within the standard time period The number of civil litigation work orders assigned to each target jurisdiction is recorded as the assignment value. one by one After comparing the allocated and generated values ​​for each target jurisdiction, the following calculations are performed. Effective order dispatch rate.

[0012] Furthermore, when collecting the work order resolution rate, the processing status of civil litigation work orders is queried, and civil litigation work orders with a processing status of "processed" are recorded as available work orders; Count them one by one The number of work orders available in a target jurisdiction within a standard time period is recorded as the processing volume value. Will After comparing the processing volume and the assigned volume for each target jurisdiction, the following calculations are performed. Individual work order resolution rate.

[0013] Furthermore, the attribute classification criteria are as follows: civil litigation work orders with the emergency attribute must contain at least 3 emergency parameters; The method for dividing emergency and general jurisdictions is as follows: When the work order quantity value is greater than the work order quantity calibration value, the work order quantity value is recorded as an emergency parameter; When the percentage of work orders exceeds the percentage calibration value, the percentage of work orders is recorded as an emergency parameter; When the effective dispatch rate is greater than the dispatch calibration value, the effective dispatch rate is recorded as an emergency parameter. When the work order resolution rate is greater than the resolution calibration value, the work order resolution rate is recorded as an emergency parameter; Count them one by one The number of emergency parameters in each target jurisdiction. When the number of emergency parameters is 3 or 4, the jurisdiction attribute is emergency attribute. The target jurisdiction is recorded as an emergency jurisdiction, and E emergency jurisdictions are obtained. When the number of emergency parameters is 0, 1 or 2, the jurisdiction attribute is normal, the target jurisdiction is recorded as a normal jurisdiction, and F normal jurisdictions are obtained.

[0014] Furthermore, the strategic characteristics include the regulatory body, types of civil litigation, content of civil litigation, and regions of civil litigation; When extracting strategy features, civil litigation work orders in emergency jurisdictions and ordinary jurisdictions are imported one by one into a pre-trained deep neural network model to extract the strategy features of the civil litigation work orders. Command and dispatch strategies are the direct measures for the ultimate unified management of urban areas. When extracting command and dispatch strategies, the strategy features are input into a pre-trained strategy parsing model, and the output is the command and dispatch strategy corresponding to the strategy features.

[0015] Furthermore, when executing the command and dispatch strategy, the parsed H command and dispatch strategies are bound one by one to the H civil litigation work orders in the E emergency jurisdictions and F ordinary jurisdictions to obtain a set of H work order strategies. At the same time, the work order strategy sets from E emergency jurisdictions and F ordinary jurisdictions are simultaneously sent to the corresponding city regulatory bodies; The command and dispatch center controls E emergency jurisdictions to execute command and dispatch strategies simultaneously. After all the command and dispatch strategies in E emergency jurisdictions have been executed, the command and dispatch center controls F ordinary jurisdictions to execute command and dispatch strategies one by one in sequence.

[0016] The technical effects and advantages of this invention based on a unified urban governance command and dispatch system are as follows: (1): This invention can accurately summarize civil litigation work orders belonging to the same urban jurisdiction by matching the work order attributes of civil litigation work orders with the jurisdiction attributes of urban jurisdictions, so as to achieve the effect of one-to-one correspondence between civil litigation work orders and urban jurisdictions. This can not only ensure the accurate correspondence between urban jurisdictions and public opinion in the unified management, but also avoid the problem of cross-jurisdictional matching and misjudgment of similar or identical public opinion in different urban jurisdictions, thereby improving the accuracy of target jurisdiction identification.

[0017] (2): By collecting real-time work order parameters and historical work order parameters, this invention can represent the urgency priority of handling and resolving civil litigation work orders in the target jurisdiction from different time dimensions of past and present time. Based on the different urgency priorities, the target jurisdiction is distinguished by attributes, providing different analytical logic and ideas for subsequent command and dispatch strategies. This enables accurate identification and positioning of the responsible parties frequently involved in the petition work orders, achieving precise analysis of specific issues in civil litigation work orders and precise implementation of command and dispatch strategies. It ensures the effectiveness of intelligent analysis and judgment of public opinion hotspots and governance command and dispatch, and lays a solid foundation for the construction of a city under unified management. Attached Figure Description

[0018] Figure 1 This is a schematic diagram of a module of an urban governance command and dispatch system based on a unified network provided in Embodiment 1 of the present invention; Figure 2 This is a flowchart illustrating the urban governance command and dispatch method based on a unified network management system provided in Embodiment 2 of the present invention. Detailed Implementation

[0019] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0020] Example 1: Please refer to Figure 1 As shown in this embodiment, the urban governance command and dispatch system based on a unified network is applied to a command and dispatch center and includes: The work order queue aggregation module extracts the work order semantics of civil litigation work orders from the sub-database, identifies the work order type of civil litigation work orders based on the work order semantics, and aggregates civil litigation work orders of the same type into a work order queue. Sub-databases are databases used to store various types of public opinion and sentiment work order data. Each sub-database is only used to store one type of public opinion and sentiment work order data. When public opinion and sentiment work order data is imported into a sub-database for storage, it will be converted into civil litigation work orders within the sub-database, so that one civil litigation work order can correspond to one type of civil litigation work order. After converting public opinion and sentiment work order data into civil litigation work orders, these work orders are usually stored in the form of tables in various sub-databases. Each civil litigation work order consists of a header and a middle frame. The header includes multiple parallel and independently distributed information boxes. Each information box is used to record basic information such as the subject, time, location, and type involved in the civil litigation work order. The middle frame is used to provide a text recording location for the specific work order data in the civil litigation work order.

[0021] Specifically, the sub-databases include, but are not limited to, education, healthcare, municipal administration, food, and transportation databases. With the combined support of numerous sub-databases, the system enables active participation from multiple different industries in the city within the unified urban governance framework. This allows for the effective collection and storage of work order data related to public opinion and sentiment across various industries and dimensions, such as education, healthcare, municipal administration, food, and transportation, within the unified urban governance framework.

[0022] Since the specific content of public opinion and sentiment corresponding to each type of civil litigation work order in the unified online management system is different, in order to distinguish each civil litigation work order according to its specific content, it is necessary to extract the work order semantics of the civil litigation work order so that the work order semantics can serve as a direct representation to distinguish the corresponding specific content in the civil litigation work order. Specifically, the method for extracting work order semantics is as follows: The system retrieves the record times of all civil litigation work orders in sub-database A one by one using timestamps, and then numbers the civil litigation work orders in sub-database B in ascending order according to the chronological order of their records. This ascending numbering method provides a basis for arranging the civil litigation work orders, facilitating subsequent processing of them. Query the text in the information boxes of B civil litigation work orders one by one, and record the information boxes with text as the target boxes to obtain B target boxes; Natural language processing technology was used to identify the notes in the B target boxes one by one, and the text portion of the notes was extracted to obtain the semantics of the B work orders.

[0023] After extracting the work order semantics, the work order semantics can serve as a direct basis for distinguishing the corresponding types of different civil litigation work orders, so that the type of each civil litigation work order can be accurately determined. Specifically, the types of work orders include complaint work orders, assistance work orders, suggestion work orders, and consultation work orders; these different types of civil litigation work orders can record public opinion and sentiments related to complaints, assistance, suggestions, and consultations in people's livelihood. Once the type of civil litigation work order is determined, civil litigation work orders with the same type can be summarized and arranged to form multiple different work order queues. Each work order queue contains only one type of civil litigation work order, thereby ensuring that civil litigation work orders of the same type can be orderly and accurately partitioned and summarized, which facilitates the reprocessing of subsequent civil litigation work orders. Specifically, the number of work order queues needs to be consistent with the number of work order types, so as to achieve a one-to-one correspondence between one work order type and one work order queue. Therefore, work order queues include complaint queues, help queues, suggestion queues, and consultation queues.

[0024] The method for summarizing the work order queue is as follows: Semantic analysis was performed on the semantics of B civil litigation work orders in sequence; When the semantic meaning of a civil litigation work order is complaint, report, or appeal, the work order type of the civil litigation work order is recorded as a complaint work order. When the semantic meaning of a civil litigation work order is "seeking help," "seeking assistance," or "providing aid," then the work order type of the civil litigation work order is recorded as "seeking help work order." When the semantic meaning of a civil litigation work order is suggestion, appeal, or assertion, the work order type of the civil litigation work order is recorded as suggestion work order; When the semantic meaning of a civil litigation work order is consultation, inquiry, or understanding, the work order type of the civil litigation work order is recorded as consultation work order; All complaint tickets, help requests, suggestion tickets, and consultation tickets are aggregated in ascending order of their numbers to generate complaint queues, help request queues, suggestion queues, and consultation queues.

[0025] It should be noted that there is no correlation between the number of civil litigation work orders contained in the complaint queue, help queue, suggestion queue, and consultation queue. However, the total number of civil litigation work orders in all work order queues is consistent with the number of civil litigation work orders extracted from the sub-database. In this embodiment, in order to ensure that each work order queue contains civil litigation work orders, the number of civil litigation work orders in the complaint queue, help queue, suggestion queue, and consultation queue is greater than 0.

[0026] The target jurisdiction marking module parses the work order attributes of civil litigation work orders in the work order queue, matches the work order attributes with the jurisdiction attributes of the city jurisdictions one by one based on the attribute matching criteria, and marks the target jurisdiction from the city jurisdictions. After generating complaint queues, help queues, suggestion queues, and consultation queues, each work order queue contains only one type of civil litigation work order. Since each civil litigation work order corresponds to a different specific geographical location in the city, the same work order queue may contain multiple civil litigation work orders from different geographical locations in the city. When matching civil litigation work orders with urban jurisdictions one by one, it is necessary to identify the work order attributes of the civil litigation work orders and the jurisdiction attributes of the urban jurisdictions respectively, and achieve the matching effect between civil litigation work orders and urban jurisdictions through the matching operation of work order attributes. The work order attribute is used to represent the specific administrative region corresponding to a civil litigation work order in the city governance of the unified network, and a civil litigation work order has one and only one work order attribute.

[0027] The method for parsing work order attributes is as follows: The attribute management system is used to query the attribute semantics of civil litigation work orders in the complaint queue, help queue, suggestion queue and consultation queue one by one, and the numerical part of the attribute semantics is recorded as the attribute value. The attribute values ​​of civil litigation work orders are compared with the preset standard values. The preset standard values ​​refer to the attribute values ​​in the attribute semantics that can be recorded as work order attributes in advance. This provides a basis for comparative analysis of the attribute values ​​of civil litigation work orders and improves the accuracy of subsequent work order attribute parsing. The attribute semantics whose attribute values ​​are consistent with the preset standard values ​​are recorded as the target semantics, and the text part in the target semantics is recorded as the work order attribute, thus obtaining B work order attributes.

[0028] Urban jurisdictions are administrative areas that can be independently commanded and dispatched in urban governance. As a specific location of the city to achieve unified management, in order to achieve the goal of unified urban governance and provide a basis for command and dispatch for areas with different geographical locations in the city, it is necessary to match civil litigation work orders with different urban jurisdictions one by one. The jurisdiction attribute is used to represent the specific administrative region corresponding to a city's jurisdiction in the unified urban governance system, and each city's jurisdiction has one and only one jurisdiction attribute. Specifically, the jurisdiction attribute of a city's jurisdiction is set according to the different geographical locations that the city's jurisdiction actually corresponds to, to ensure that the jurisdiction attribute of each city's jurisdiction remains unique.

[0029] After obtaining the work order attributes and jurisdiction attributes, the work order attributes and jurisdiction attributes can be used as the corresponding matching objects to achieve the matching effect between civil litigation work orders and urban jurisdictions. Based on the matching results, the target jurisdictions that need to be managed and governed by the unified network can be marked from the urban jurisdictions. The number of target jurisdictions may be one or more, and each target jurisdiction contains relevant civil litigation work orders that require urban governance. When marking target jurisdictions from urban jurisdictions, it is necessary to do so under the constraints of attribute matching criteria to ensure the orderliness of the final target jurisdiction marking process and the accuracy of the marking results.

[0030] The attribute matching criterion is to match sequentially according to the order of queue quantity values ​​in the work order queue from largest to smallest; that is, to start matching work order attributes and jurisdiction attributes one by one from the work order queue with the largest number of civil litigation work orders, thereby improving the orderliness of the matching.

[0031] The method for marking the target jurisdiction is as follows: The number of civil litigation work orders in the complaint queue, help queue, suggestion queue, and consultation queue were counted separately to obtain the values ​​for the four queues. Arrange the civil litigation work orders in the complaint queue, help queue, suggestion queue and consultation queue in descending order of queue value, and generate the first attribute row, the second attribute row, the third attribute row and the fourth attribute row. The work order attributes in the first, second, third, and fourth attribute rows are matched one by one with the jurisdiction attributes of the city jurisdiction, and the civil litigation work orders whose work order attributes match the jurisdiction attributes are added to the city jurisdiction. The number of civil litigation work orders in each urban district was counted, and urban districts with a number of civil litigation work orders exceeding the lower limit were designated as target districts. The target jurisdiction. The minimum number of civil litigation work orders refers to the minimum number of civil litigation work orders in a city jurisdiction when it is recorded as a target jurisdiction. This provides a necessary threshold for the number of civil litigation work orders in the target jurisdiction, preventing the number of civil litigation work orders in the target jurisdiction from being too small, resulting in less data on public opinion and sentiment.

[0032] It is important to note that each target jurisdiction contains a sufficient number of civil litigation cases, which allows the target jurisdiction to provide sufficient data support for the specific analysis of subsequent civil litigation cases, thereby improving the accuracy of the subsequent civil litigation case processing results.

[0033] The target jurisdiction division module collects real-time and historical work order parameters of the target jurisdiction, identifies the jurisdiction attributes of the target jurisdiction based on the attribute division criteria, and divides the target jurisdiction into emergency jurisdiction and ordinary jurisdiction. After the target jurisdiction is marked, there is relevant data information that can reflect different types of public opinion and sentiment within the target jurisdiction. Since the types and number of civil litigation work orders contained in each target jurisdiction are not the same, the urgency and priority of public opinion and sentiment governance and command and dispatch are different in different target jurisdictions. In order to distinguish the urgency and priority of the target jurisdiction, it is necessary to collect and analyze the real-time work order parameters and historical work order parameters within the target jurisdiction. Real-time work order parameters refer to the basic parameters of civil litigation work orders received in the target jurisdiction at the current moment, thereby representing the real-time status of civil litigation work orders in the target jurisdiction; Specifically, real-time work order parameters include work order quantity and work order percentage. The work order quantity refers to the number of civil litigation work orders received in the target jurisdiction, which can be used to represent the total number of civil litigation work orders to be processed in each target jurisdiction. The work order percentage refers to the ratio between the number of civil litigation work orders received in the target jurisdiction and the total number of civil litigation work orders. It can be used to represent the frequency of public opinion and civil litigation in the target jurisdiction. When the work order percentage is larger, it means that there are more civil litigation work orders in the target jurisdiction, and the urgency and priority of handling civil litigation work orders in the target jurisdiction are higher.

[0034] The methods for collecting work order quantity and work order percentage are as follows: Count them one by one The number of civil litigation cases within a target jurisdiction, obtained Work order quantity value; Will After summing up the quantities of each work order, the total work order value is obtained, and then... After comparing the quantity value of each work order with the total quantity value of the work order, the percentage value of the work order is calculated. The formula for calculating the percentage of work orders is: ; In the formula, For the first The percentage of work orders in each target jurisdiction For the first The number of work orders in each target jurisdiction.

[0035] Historical work order parameters refer to the relevant parameters of the governance process and governance results of civil litigation work orders in the target jurisdiction in the past historical period, which can represent the historical governance results of civil litigation work orders in the target jurisdiction; Specifically, historical work order parameters include effective dispatch rate and work order resolution rate; The effective dispatch rate refers to the ratio of civil litigation work orders received to civil litigation work orders generated in the target jurisdiction during a past period. It can be used to represent the urgency and priority of civil litigation work orders dispatched in the target jurisdiction during a past period. The higher the effective dispatch rate, the more civil litigation work orders the target jurisdiction receives, and the higher the urgency and priority. When collecting the effective dispatch rate, firstly, starting from the current time, count backwards for a specified time period and mark the end point. The time period between the start point and the end point is recorded as the standard time period. The specified time period is a time limit used to compare and calculate the civil litigation work orders received and generated in the target jurisdiction within the past time period, to ensure that the target jurisdiction has a sufficient number of civil litigation work orders that can be analyzed and calculated within the specified time period. Specifically, the specific value of the specified time period is set according to actual needs. For example, the specified time period is 10 days, 15 days, and 20 days. Then, count them one by one. The number of civil litigation work orders generated in a target jurisdiction within a standard time period is recorded as the generation value. Next, the directions were counted one by one within the standard time period. The number of civil litigation work orders assigned to each target jurisdiction is recorded as the assignment value. Finally, one by one After comparing the allocated and generated values ​​for each target jurisdiction, the following calculations are performed. Effective order dispatch rate; The formula for calculating the effective dispatch rate is: ; In the formula, For the first Effective order dispatch rate for each target jurisdiction For the first The allocation value for each target jurisdiction For the first The generation value of each target jurisdiction.

[0036] The work order resolution rate refers to the ratio between the number of civil litigation work orders resolved in the target jurisdiction in the past period and the number of civil litigation work orders received and dispatched. It can be used to represent the target jurisdiction's ability to process civil litigation work orders in the historical period. When collecting work order resolution rates, firstly, the processing status of civil litigation work orders is queried, and civil litigation work orders with a processing status of "processed" are recorded as available work orders. The processing status is used to specifically indicate whether a civil litigation work order has been processed, thereby distinguishing between processed and unprocessed civil litigation work orders. Specifically, the processing status includes processed and unprocessed. Then, count them one by one. The number of work orders available in a target jurisdiction within a standard time period is recorded as the processing volume value. Finally, After comparing the processing volume and the assigned volume for each target jurisdiction, the following calculations are performed. Individual work order resolution rate; The formula for calculating the work order resolution rate is: ; In the formula, For the first The work order resolution rate for each target jurisdiction For the first The processing volume value for each target jurisdiction.

[0037] After collecting real-time and historical work order parameters for the target jurisdiction, the urgency and priority of civil litigation work orders in the target jurisdiction can be identified based on these parameters. The target jurisdiction can then be divided and processed according to the different levels of urgency and priority. Specifically, when dividing the target jurisdiction, it is necessary to first identify the jurisdictional attributes of the target jurisdiction. At this time, the jurisdictional attributes can specifically represent the urgency and priority of the target jurisdiction in the management of civil litigation work orders. The jurisdictional attributes include urgency attributes and ordinary attributes; among them, the urgency and priority of the civil litigation work order management corresponding to the urgency attributes and ordinary attributes are from high to low.

[0038] To ensure the accuracy of the identification of the jurisdiction's attributes, it is necessary to use attribute classification criteria for classification during the identification process; Specifically, the criteria for classifying attributes are as follows: civil litigation work orders with the urgency attribute must contain at least three urgency parameters; and civil litigation work orders in the target jurisdiction that are classified as urgency must be subject to urgent and priority management operations.

[0039] Emergency jurisdictions and ordinary jurisdictions correspond to target jurisdictions with emergency and ordinary attributes, respectively. This allows for further differentiation of targets for subsequent command and dispatch processing of civil litigation work orders in the target jurisdictions, ensuring the accuracy of command and dispatch operations in the unified network management system. Specifically, the methods for dividing emergency and general jurisdictions are as follows: one by one An urgent analysis was conducted on the number of work orders, the percentage of work orders, the effective dispatch rate, and the work order resolution rate for each target jurisdiction. When the number of work orders in the target jurisdiction is greater than the work order quantity calibration value, a large number of civil litigation work orders have appeared in the target jurisdiction. In this case, the work order quantity is recorded as an emergency parameter. The work order quantity calibration value refers to the minimum value of the work order quantity when it is recorded as an emergency parameter. The work order quantity calibration value is obtained by collecting a large number of historical minimum values ​​of work order quantity when it is recorded as an emergency parameter and then calculating the average value. When the percentage of work orders in the target jurisdiction is greater than the percentage calibration value, the percentage of civil litigation work orders in the target jurisdiction is relatively large. In this case, the percentage of work orders is recorded as an emergency parameter. The percentage calibration value refers to the minimum percentage of work orders when recorded as an emergency parameter. The percentage calibration value is obtained by collecting a large number of historical minimum percentages of work orders when recorded as emergency parameters and then averaging them. When the effective dispatch rate of the target jurisdiction is greater than the dispatch calibration value, there are a large number of civil litigation work orders dispatched in the target jurisdiction. In this case, the effective dispatch rate is recorded as an emergency parameter. The dispatch calibration value refers to the minimum effective dispatch rate when it is recorded as an emergency parameter. The dispatch calibration value is obtained by collecting a large number of historical minimum effective dispatch rates when they are recorded as emergency parameters and then calculating their average value. When the work order resolution rate in the target jurisdiction is greater than the resolution benchmark, there are a large number of civil litigation work orders resolved in the target jurisdiction. In this case, the work order resolution rate is recorded as an emergency parameter. The resolution benchmark refers to the minimum work order resolution rate when it is recorded as an emergency parameter. The resolution benchmark is obtained by collecting a large number of historical minimum work order resolution rates when they are recorded as emergency parameters and then averaging them. Count them one by one The number of emergency parameters in each target jurisdiction. When the number of emergency parameters is 3 or 4, the jurisdiction attribute of the target jurisdiction is the emergency attribute. Then the target jurisdiction is recorded as an emergency jurisdiction, and E emergency jurisdictions are obtained. When the number of emergency parameters is 0, 1 or 2, the jurisdiction attribute of the target jurisdiction is normal. Then the target jurisdiction is recorded as a normal jurisdiction, and F normal jurisdictions are obtained.

[0040] It should be noted that the total number of emergency jurisdictions and ordinary jurisdictions is the number of target jurisdictions. At this time, there may be a possibility that all target jurisdictions are emergency jurisdictions or all are ordinary jurisdictions. By distinguishing between emergency jurisdictions and ordinary jurisdictions, target jurisdictions with different levels of urgency and priority can be accurately distinguished and processed.

[0041] The work order strategy parsing module uses deep learning technology to extract the strategy features of civil litigation work orders in emergency and ordinary jurisdictions. It then uses the trained strategy parsing model to parse the command and dispatch strategies of civil litigation work orders and executes the command and dispatch strategies of emergency and ordinary jurisdictions in sequence. After dividing the target jurisdiction into emergency jurisdiction and ordinary jurisdiction, the specific methods for managing and dispatching civil litigation work orders in the emergency jurisdiction and ordinary jurisdiction will be different. Before managing and dispatching civil litigation work orders, they need to be analyzed and processed to obtain the strategy characteristics in the civil litigation work orders. Strategic features refer to the urban regulatory bodies and public opinion content directly related to public sentiment contained in civil litigation work orders, and the ability to represent the content and factors in civil litigation work orders that affect the specific measures for final command and dispatch. Specifically, the strategic features include the regulatory body, the type of civil suit, the content of the civil suit, and the region of the civil suit; among them, the regulatory body is used to represent the city regulatory body corresponding to the civil suit work order, the type of civil suit is used to represent the specific type of civil suit work order, the content of the civil suit is used to represent the content of the claim corresponding to the civil suit work order, and the region of the civil suit is used to represent the administrative region corresponding to the civil suit work order.

[0042] To improve the accuracy of analyzing strategy features in civil litigation work orders, it is necessary to use deep learning technology in artificial intelligence to analyze the content and extract features, thereby obtaining the most authentic data information in the civil litigation work orders. When extracting strategy features, civil litigation work orders from emergency jurisdictions and ordinary jurisdictions are imported one by one into a pre-trained deep neural network model, and the strategy features of the civil litigation work orders are extracted under the processing of deep learning technology. Among them, training the deep neural network model is a conventional method and existing technology for those skilled in the art, and it is not considered an innovation of this invention, so it will not be described in detail here.

[0043] After obtaining the strategy features, these features can serve as the direct basis for generating the corresponding command and dispatch content. They can also be integrated with the strategy parsing model to parse out the corresponding command and dispatch strategy, so that the command and dispatch strategy can serve as the direct measure for the final unified management of the city's jurisdiction. The strategy analysis model is a machine learning model based on artificial intelligence technology. It is obtained through optimization training of a large number of strategy features and command and dispatch strategies, and serves as a tool to obtain the final command and dispatch strategy.

[0044] Specifically, when training the strategy analysis model, multiple sets of strategy features and command and dispatch strategies of civil litigation work orders are collected in advance; Each set of policy features is labeled as a training feature, and the command and dispatch policies of each set of training features are annotated; the annotated training features are divided into a training set and a test set; 70% of the training features are used as the training set, and 30% of the training features are used as the test set. The policy parsing model is trained using the training set and tested using the test set. A preset error threshold is used; the policy parsing model is output when the mean of the prediction errors of all training features in the test set is less than the error threshold.

[0045] For example, the policy parsing model can be either a support vector machine model or a random forest model; the preset error threshold is set in advance according to the actual accuracy required by the policy parsing model.

[0046] After analyzing the command and dispatch strategy for civil litigation work orders, the command and dispatch strategy can be used as a basis to manage and execute civil litigation work orders in emergency and ordinary jurisdictions in a unified manner. When executing the command and dispatch strategy, it is necessary to execute it in an orderly manner according to the degree of urgency and priority, so as to ensure that civil litigation work orders in urban jurisdictions with higher urgency and priority can be executed first. Specifically, when executing the command and dispatch strategy, firstly, the parsed H command and dispatch strategies are bound one by one with H civil litigation work orders in the emergency jurisdiction and ordinary jurisdiction, respectively, to obtain a set of H work order strategies; then, at the same time, the work order strategy sets in E emergency jurisdictions and F ordinary jurisdictions are simultaneously sent to the corresponding urban regulatory entities; finally, the command and dispatch center controls the E emergency jurisdictions to execute the command and dispatch strategy simultaneously, and after all the command and dispatch strategies in the E emergency jurisdictions have been executed, the command and dispatch center controls the F ordinary jurisdictions to execute the command and dispatch strategy one by one in sequence.

[0047] Example 2: Please refer to Figure 2 As shown, parts not described in detail in this embodiment are described in Embodiment 1. A city governance command and dispatch method based on a unified network is provided, applied to a command and dispatch center, and implemented through a city governance command and dispatch system based on a unified network. The method includes: S01: Extract the semantics of civil litigation work orders from the sub-database, identify the work order type of civil litigation work orders based on the semantics, and aggregate civil litigation work orders of the same type into a work order queue. S02: Parse the work order attributes of civil litigation work orders in the work order queue, match the work order attributes with the jurisdiction attributes of the city jurisdiction one by one based on the attribute matching criteria, and mark the target jurisdiction from the city jurisdiction. S03: Collect real-time and historical work order parameters of the target jurisdiction, identify the jurisdiction attributes of the target jurisdiction based on the attribute classification criteria, and divide the target jurisdiction into emergency jurisdiction and ordinary jurisdiction. S04: Extract the strategic features of civil litigation work orders through deep learning technology, parse the command and dispatch strategies of civil litigation work orders based on the strategy parsing model, and execute the command and dispatch strategies of emergency jurisdiction and ordinary jurisdiction in sequence.

[0048] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in the present invention should be included within the scope of protection of the present invention.

Claims

1. A city governance command and dispatch system based on a unified network, applied to a command and dispatch center, characterized in that: include: The work order queue aggregation module is used to extract the work order semantics of civil litigation work orders from the sub-database, identify the work order type of civil litigation work orders based on the work order semantics, and the work order types include complaint work orders, help work orders, suggestion work orders and consultation work orders, and aggregate civil litigation work orders of the same type into a work order queue. The target jurisdiction marking module is used to parse out the work order attributes of civil litigation work orders in the work order queue, match the work order attributes with the jurisdiction attributes of the city jurisdiction one by one based on the attribute matching criteria, and mark the target jurisdiction from the city jurisdiction. The target jurisdiction division module is used to collect real-time and historical work order parameters of the target jurisdiction, identify the jurisdiction attributes of the target jurisdiction based on the attribute division criteria, including emergency attributes and normal attributes, and divide the target jurisdiction into emergency jurisdiction and normal jurisdiction. The work order strategy parsing module is used to extract the strategy features of civil litigation work orders through deep learning technology, parse the command and dispatch strategy of civil litigation work orders based on the strategy parsing model, and execute the command and dispatch strategies of emergency jurisdiction and ordinary jurisdiction in sequence.

2. The urban governance command and dispatch system based on unified network management according to claim 1, characterized in that, The method for extracting work order semantics is as follows: By querying the timestamps of all civil litigation work orders in sub-database A, the civil litigation work orders in sub-database B are numbered in ascending order according to the chronological order of the timestamps. Query the text in the information boxes of B civil litigation work orders one by one, and record the information boxes with text as the target boxes to obtain B target boxes; Natural language processing technology was used to identify the notes in the B target boxes one by one, and the text portion of the notes was extracted to obtain the semantics of the B work orders.

3. The urban governance command and dispatch system based on unified network management according to claim 2, characterized in that, The work order queue includes a complaint queue, a help queue, a suggestion queue, and an inquiry queue. The work order queue is aggregated as follows: Semantic analysis was performed on the semantics of B civil litigation work orders in sequence; When the semantic meaning of a civil litigation work order is complaint, report, or appeal, the work order type is recorded as a complaint work order. When the semantic meaning of a civil litigation work order is "seeking help," "seeking assistance," or "providing aid," the work order type is recorded as a "seeking help work order." When the semantic meaning of a civil procedure work order is suggestion, appeal, or assertion, the work order type is recorded as suggestion work order; When the semantic meaning of a civil litigation work order is consultation, inquiry, or understanding, the work order type is recorded as consultation work order. Complaint work orders, assistance work orders, suggestion work orders, and consultation work orders are summarized in ascending order of their numbers to generate complaint queues, assistance queues, suggestion queues, and consultation queues.

4. The urban governance command and dispatch system based on unified network management according to claim 3, characterized in that, The method for parsing work order attributes is as follows: The attribute management system is used to query the attribute semantics of civil litigation work orders in the complaint queue, help queue, suggestion queue and consultation queue one by one, and the numerical part of the attribute semantics is recorded as the attribute value. The attribute values ​​of the civil litigation work order are compared with the preset standard values ​​for consistency. The attribute semantics whose attribute values ​​are consistent with the preset standard values ​​are recorded as the target semantics, and the text part in the target semantics is recorded as the work order attribute, thus obtaining B work order attributes.

5. The urban governance command and dispatch system based on unified network management according to claim 4, characterized in that, The attribute matching criterion is: match sequentially according to the queue quantity value in the work order queue from largest to smallest; The method for marking the target jurisdiction is as follows: The number of civil litigation work orders in the complaint queue, help queue, suggestion queue, and consultation queue were counted separately to obtain the values ​​for the four queues. Arrange the civil litigation work orders in the complaint queue, help queue, suggestion queue and consultation queue in descending order of queue value, and generate the first attribute row, the second attribute row, the third attribute row and the fourth attribute row. The work order attributes in the first, second, third, and fourth attribute rows are matched one by one with the jurisdiction attributes of the city jurisdiction, and the civil litigation work orders whose work order attributes match the jurisdiction attributes are added to the city jurisdiction. The number of civil litigation work orders in each urban district was counted, and urban districts with a number of civil litigation work orders exceeding the lower limit were designated as target districts. One target jurisdiction.

6. The urban governance command and dispatch system based on unified network management according to claim 5, characterized in that, Real-time work order parameters include work order quantity and work order percentage. The methods for collecting work order quantity and work order percentage are as follows: Count them one by one The number of civil litigation cases within a target jurisdiction, obtained Work order quantity value; Will After summing up the quantities of each work order, the total work order value is obtained, and then... After comparing the value of each work order with the total work order value, the percentage of each work order is calculated.

7. The urban governance command and dispatch system based on unified network management according to claim 6, characterized in that, Historical work order parameters include effective dispatch rate and work order resolution rate; When collecting the effective dispatch rate, the current time is taken as the starting point, and the end point is marked after counting backwards by one standard time length. The time period between the starting point and the end point is recorded as the standard time period. Count them one by one The number of civil litigation work orders generated in a target jurisdiction within a standard time period is recorded as the generation value. Count the directions one by one within the standard time period The number of civil litigation work orders assigned to each target jurisdiction is recorded as the assignment value. one by one After comparing the allocated and generated values ​​for each target jurisdiction, the following calculations are performed. Effective order dispatch rate.

8. The urban governance command and dispatch system based on unified network management according to claim 7, characterized in that, When collecting work order resolution rates, query the processing status of civil litigation work orders and record those with a processing status of "processed" as available work orders; Count them one by one The number of work orders available in a target jurisdiction within a standard time period is recorded as the processing volume value. Will After comparing the processing volume and the assigned volume for each target jurisdiction, the following calculations are performed. Individual work order resolution rate.

9. The urban governance command and dispatch system based on unified network management according to claim 8, characterized in that, The attribute classification criteria are: civil litigation work orders with the emergency attribute must contain at least 3 emergency parameters; The method for dividing emergency and general jurisdictions is as follows: When the work order quantity value is greater than the work order quantity calibration value, the work order quantity value is recorded as an emergency parameter; When the percentage of work orders exceeds the percentage calibration value, the percentage of work orders is recorded as an emergency parameter; When the effective dispatch rate is greater than the dispatch calibration value, the effective dispatch rate is recorded as an emergency parameter. When the work order resolution rate is greater than the resolution calibration value, the work order resolution rate is recorded as an emergency parameter; Count them one by one The number of emergency parameters in each target jurisdiction. When the number of emergency parameters is 3 or 4, the jurisdiction attribute is emergency attribute. The target jurisdiction is recorded as an emergency jurisdiction, and E emergency jurisdictions are obtained. When the number of emergency parameters is 0, 1 or 2, the jurisdiction attribute is normal, the target jurisdiction is recorded as a normal jurisdiction, and F normal jurisdictions are obtained.

10. The urban governance command and dispatch system based on unified network management according to claim 9, characterized in that, Strategic characteristics include regulatory body, types of civil litigation, content of civil litigation, and regions of civil litigation; When extracting strategy features, civil litigation work orders in emergency jurisdictions and ordinary jurisdictions are imported one by one into a pre-trained deep neural network model to extract the strategy features of the civil litigation work orders. Command and dispatch strategies are the direct measures for the ultimate unified management of urban areas. When extracting command and dispatch strategies, the strategy features are input into a pre-trained strategy parsing model, and the output is the command and dispatch strategy corresponding to the strategy features.

11. The urban governance command and dispatch system based on unified network management according to claim 10, characterized in that, When executing the command and dispatch strategy, the parsed H command and dispatch strategies are bound one by one with the H civil litigation work orders in the E emergency jurisdictions and F ordinary jurisdictions to obtain a set of H work order strategies. At the same time, the work order strategy sets from E emergency jurisdictions and F ordinary jurisdictions are simultaneously sent to the corresponding city regulatory bodies; The command and dispatch center controls E emergency jurisdictions to execute command and dispatch strategies simultaneously. After all the command and dispatch strategies in E emergency jurisdictions have been executed, the command and dispatch center controls F ordinary jurisdictions to execute command and dispatch strategies one by one in sequence.

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