Artificial intelligence auxiliary city service management system

Abstract

The invention provides a city service management system based on artificial intelligence. The city service management system comprises a positioning system, an acquisition system, a preprocessing system, a planning system, a bottom scheduling system, a computing power distribution system, a scheme library system and a global scheduling system. The scheme of binding the GIS geographic information and the transaction information is adopted, and artificial intelligence is used for management, so that the processing efficiency of the city service management system is improved, and the utilization rate of existing resources is improved. The computing power distribution system ensures that computing power resources are reasonably distributed, and resource waste is reduced. Decision is made based on data through the preprocessing system and the scheme library system, and the accuracy and reliability of decision making are improved. And the system monitors the transaction processing condition in real time and performs adjustment according to feedback. And through redundancy setting of the alarm system and the planning system, emergency affairs can be responded quickly. By optimizing resource allocation and transaction processing, energy consumption and environmental impact are reduced. And the self-iteration upgrading capability of the non-structured instruction set and the interactive artificial intelligence module.

Description

Technical Field

[0001] The present invention relates to the field of urban service management, and in particular to an artificial intelligence-assisted urban service management system. Background Art

[0002] As the size of cities expands and the population increases dramatically, the corresponding facilities and resources also increase dramatically. The demands for urban management issues such as transportation, fire protection, community safety, environmental protection, cleaning, and garbage disposal also increase significantly, and the requirements for user experience are becoming more and more urgent. In order to effectively manage urban services, network, server, camera, APP and other technologies are integrated and applied to urban service management. However, with the generation of massive data, it is becoming increasingly difficult for urban service management systems to handle the calculation of such large amounts of data, including network resources, computing resources, equipment resources, and human resources. The processing efficiency is greatly reduced, and the resource utilization rate is also greatly reduced, resulting in poor citizen experience in urban management. Summary of the invention

[0003] The purpose of the present invention is to solve the technical problems in the above background and propose an artificial intelligence-based city service management system, including: The positioning system is used to locate the transaction through the positioning system, and guide the start of the transaction and the location of the feedback information; The collection system is used to collect demand information through the terminal and feedback the effect information after execution; The preprocessing system is used for data preprocessing, including data cleaning, conversion of structured data and unstructured data operations; The planning system is used to set up the execution plan that needs to be executed in daily work; The underlying scheduling system is used to collect the relationship model between transactions and transaction execution. That is, based on the collected transaction information, the underlying scheduling system starts the corresponding execution plan according to the model; The computing power allocation system is used to dispatch the computing power resources that can be controlled by the computing power allocation system, solve some transactions nearby, evaluate the load of each computing power resource, bind it with the location of the transaction, and include it in the available resource plan; The solution library system is used to establish the underlying rules. Within the scope of the underlying rules, the execution plan is selected from the solution library according to the transaction and its parameters, the transaction is bound to the execution plan, and the solution library is iterated according to the feedback from the collection system. The global scheduling system is used to handle the interference problems of feedback from various systems and perform overall coordination.

[0004] (Interference issues refer to issues that are not included in the execution plan, issues that cannot be matched with execution plans in the solution library, and execution issues that interfere with each other) In the preferred solution, the positioning system includes a global navigation satellite system, including the US GPS, Russia's GLONASS, China's Beidou satellite navigation system BDS, a GIS positioning system, and a network-based positioning system; The collection system includes cameras, sensors installed at various locations in the city, sensors installed on various equipment, and terminals for receiving and publishing transactions.

[0005] In the preferred solution, the preprocessing system also includes a step of extracting keywords from features, and structurally processing the collected features as the data basis for subsequent process processing; According to the extracted keywords, the collected keywords are made into a task list; The preprocessing system is provided with an artificial intelligence module based on at least two classification functions. First, the collected data is first divided into different categories of affairs, including: garden and environmental protection affairs, cleaning affairs, safety affairs, transportation affairs, fire affairs, garbage disposal affairs, water supply affairs and drainage affairs; data in similar locations are clustered to be divided into the same and similar affairs, and the same and similar affairs refer to affairs that can be executed simultaneously; second, the priority of related affairs is dynamically adjusted according to the transaction category and transaction weight parameters, and high-priority affairs are given priority.

[0006] In a preferred solution, the weight parameters include the number of customer feedbacks and the transaction waiting time.

[0007] The preferred solution also includes an alarm system for handling unclassifiable matters or urgent matters exceeding a preset priority level. The handled unclassifiable matters are incorporated into the iterated classification rules.

[0008] In the preferred solution, the execution affairs in the planning system include: daily urban cleaning execution affairs, greening and environmental protection execution affairs in preset time periods, preset traffic management affairs, and water supply and drainage affairs preset by sanitation; The planning system should provide redundancy in equipment and personnel to cope with emergency situations.

[0009] In the preferred solution, the computing power allocation system evaluates the computing power resources required for the unplanned transactions, and allocates the unplanned transactions to the corresponding computing power resources nearby for processing according to the load of each computing power resource, including: collecting available computing power resources, binding the computing power resources with the positioning system, and specifying computing power resources for the unplanned transactions; The computing power allocation system also saves unstructured data according to the transaction list and updates the storage location to the transaction list. If the computing power allocation system requires more data, more unstructured data will be called from the storage location to significantly save bandwidth resources.

[0010] In a preferred solution, the selection process in the solution library system includes: selection of a complete solution and selection of a combination of different execution modules; The results of feedback include positive feedback and negative feedback; When positive feedback results are collected, positive feedback operations are performed in the solution library (including improving the robustness of the corresponding execution plan). When negative feedback results are collected, negative feedback operations are performed in the solution library (including reducing the robustness of the corresponding plan). Positive and negative feedback are clustered and the feedback results are sent to the global scheduling system.

[0011] The preferred solution also includes an interactive artificial intelligence module, which is an interactive system based on natural language and can read all public resources in each system; The interactive artificial intelligence module is used to answer user questions, assist in collecting event information, collect user feedback on urban management services and execution of affairs, and distribute the corresponding data to different system modules after pre-processing; The interactive artificial intelligence module is also used to assist the global scheduling system in scheduling, to optimize the execution plan of the solution library system, and to optimize the path planning in the positioning system.

[0012] The preferred solution also includes an unstructured instruction set; The unstructured instruction set interacts with the interactive artificial intelligence module to improve the interaction efficiency of the interactive artificial intelligence and can help the system to perform self-iteration and upgrade.

[0013] The beneficial effects of the present invention are: by adopting a solution based on binding GIS geographic information with transaction information and using artificial intelligence for management, the processing efficiency of the urban service management system is improved, the utilization rate of existing resources is improved, and the user experience satisfaction is improved. The computing power allocation system can ensure that computing power resources are reasonably allocated and reduce resource waste. Through the preprocessing system and the solution library system, decisions can be made based on data to improve the accuracy and reliability of decisions. The system can also monitor transaction processing in real time and make adjustments based on feedback to optimize future transaction processing. By setting the redundancy of the alarm system and the planning system, emergency affairs can be responded to quickly. By optimizing resource allocation and transaction processing, energy consumption and environmental impact can be reduced. Self-iteration upgrade capabilities of unstructured instruction sets and interactive artificial intelligence modules. BRIEF DESCRIPTION OF THE DRAWINGS Figure 1 It is a structural flow chart of an artificial intelligence-assisted urban service management system. DETAILED DESCRIPTION

[0014] Figure 1 The system structure flow chart of one embodiment of the present invention.

[0015] An artificial intelligence-based city service management system, comprising: 1. Positioning systems, including the Global Navigation Satellite System (GNSS, including the United States' GPS (Global Positioning System), Russia's GLONASS (GLObalnayaNAvigatsionnaya Sputnikovaya Sistema), China's BeiDou Navigation Satellite System (BDS)), GIS positioning system (Geographic Information System, Geographic Information System), and network-based positioning system (Network-Based Positioning). The positioning system locates transactions, guides the start of transaction execution, and feedbacks the location of information.

[0016] 2. Collection system, which collects demand information through terminals and feedbacks the results after execution. The collection system includes cameras, sensors installed in various locations in the city, sensors installed on various equipment, and terminals for receiving and publishing transactions.

[0017] 3. Preprocessing system; The preprocessing system includes data preprocessing, including data cleaning, conversion of structured data and unstructured data operations.

[0018] It also includes the step of extracting keywords from features, and structuring the collected features as the data basis for subsequent process processing.

[0019] The pre-processing system makes a transaction list based on the extracted keywords.

[0020] The pre-processing system is provided with an artificial intelligence module based on at least two classification functions. First, the collected data is first divided into various categories of affairs, such as garden and environmental affairs, cleaning affairs, safety affairs, transportation affairs, fire affairs, garbage disposal affairs, water supply affairs and drainage affairs; data in similar locations are clustered to be divided into the same and similar affairs, and the same and similar affairs refer to affairs that can be executed at the same time. Second, it can dynamically adjust the priority of related affairs according to the transaction category and transaction weight parameters, and give priority to high-priority affairs. Preferably, the weight parameters include the number of customer feedback and transaction waiting time.

[0021] It also includes an alarm system for handling unclassifiable matters or urgent matters exceeding the preset priority. The unclassifiable matters that have been handled are incorporated into the iterated classification rules.

[0022] 4. Planning system: The planning system refers to the executive tasks that need to be performed in daily work, such as daily urban cleaning executive tasks, greening and environmental protection executive tasks in preset time periods, preset traffic management tasks, preset water supply and drainage tasks, etc.

[0023] The planning system should provide redundancy in equipment and personnel to cope with emergency situations.

[0024] 5. Bottom-level scheduling system; The underlying scheduling system is a relationship model between collected transactions and executed transactions. That is, based on the collected transaction information, the underlying scheduling system starts the corresponding execution plan according to the model.

[0025] 6. Computing power allocation system: The computing power allocation system is used to dispatch computing power resources that can be controlled by the system and solve some affairs nearby. The computing power allocation system evaluates the load of each computing power resource, binds it to the location of the matter, and incorporates it into the available resource plan.

[0026] Evaluate the computing resources required for unplanned transactions, and allocate them to the corresponding computing resources for processing based on the load of each computing resource.

[0027] It includes: steps of collecting available computing resources; Steps to bind computing resources to the positioning system; Steps to assign computing resources to unplanned transactions.

[0028] The computing power allocation system also saves the unstructured data according to the transaction list and updates the storage location to the transaction list. If the computing power allocation system needs more data, it calls more unstructured data from the storage location, which greatly saves bandwidth resources.

[0029] 7. Solution library system, establish the underlying rules, within the scope of the underlying rules, select the execution plan in the solution library according to the transaction and its parameters, bind the transaction with the execution plan, the selection includes the selection of the complete plan, and the selection of the combination of different execution modules. According to the feedback results, including positive feedback and negative feedback results, the solution library is iterated.

[0030] 8. Feedback: Collect feedback results of executed transactions. If positive feedback results are collected, perform positive feedback operations in the solution library (including improving the robustness of the corresponding execution solution). If negative feedback results are collected, perform negative feedback operations in the solution library (including reducing the robustness of the corresponding solution), cluster positive and negative feedback, and send feedback results to the global scheduling system.

[0031] 9. Global Scheduling System: The global scheduling system is used to handle interference problems in feedback from various systems and to perform overall coordination.

[0032] Interference issues refer to issues that are not included in the execution plan, transactions that cannot be matched with execution plans in the solution library, and execution transactions that interfere with each other.

[0033] 10. Interactive AI module: The interactive AI module is an interactive system based on natural language, which can read all public resources in each system. The interactive AI module is used to answer user questions, assist in collecting event information, and collect user feedback on urban management services and execution of affairs. The corresponding data is pre-processed and distributed to different system modules. The interactive AI module is also used to assist the global scheduling system in scheduling, assist in optimizing the execution plan of the solution library system, and optimize the path planning in the positioning system.

[0034] 11. Unstructured instruction set. The artificial intelligence city service management system also includes an unstructured instruction set. Compared with natural language, the unstructured instruction set interacts with the interactive artificial intelligence module, improves the interaction efficiency of the interactive artificial intelligence, and can help the system to self-iterate and upgrade.

[0035] The following are some application examples of the system proposed by the present invention: In smart sanitation, the positioning and navigation of trash cans need to rely on the Global Navigation Satellite System (GNSS) and Geographic Information System (GIS) to achieve precise positioning.

[0036] In intelligent traffic management, the location information of vehicles and traffic lights is also obtained through the positioning system.

[0037] The collection system collects environmental data from various locations in the city through cameras and sensors, such as garbage dumping conditions, traffic flow, etc., and provides raw data for subsequent data processing.

[0038] The preprocessing system cleans and converts the collected data, extracts characteristic keywords, and makes a list of tasks, such as classifying garbage dumping as sanitation tasks.

[0039] The planning system formulates execution plans based on daily sanitation, traffic management and other matters, such as daily cleaning tasks, traffic diversion plans, etc.

[0040] The underlying scheduling system initiates the corresponding execution plan based on the collected transaction information, such as scheduling sanitation vehicles according to the garbage storage situation.

[0041] The computing power allocation system evaluates the load of each computing power resource and allocates transactions to the corresponding computing power resources for processing, such as allocating traffic data analysis tasks to the nearest data center.

[0042] Within the scope of the underlying rules, the solution library system selects execution plans from the solution library based on the transaction and its parameters, such as selecting the best traffic diversion plan.

[0043] The feedback system collects feedback results of executed tasks, such as the effectiveness evaluation of sanitation operations, the actual effect of traffic diversion plans, etc., for iterative optimization of the solution library.

[0044] The global dispatch system handles interference issues reported by various systems and conducts overall coordination, such as resolving conflicts between traffic diversion and sanitation operations.

[0045] The interactive artificial intelligence module answers user questions, collects user feedback, assists in collecting event information, and distributes the pre-processed data to different system modules through a natural language interaction system.

[0046] The unstructured instruction set improves the interaction efficiency of the interactive artificial intelligence module and helps the system to perform self-iteration and upgrade, such as optimizing the selection of traffic diversion solutions through natural language processing technology.

[0047] The various system modules together constitute a complete artificial intelligence city service management system, which cooperate with each other to ensure efficient and intelligent city management. Through the collaborative work of these system modules, rapid response and intelligent processing of various urban affairs can be achieved.

[0048] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An artificial intelligence-based city service management system, characterized by: include: The positioning system is used to locate the transaction through the positioning system, and guide the start of the transaction and the location of the feedback information; The collection system is used to collect demand information through the terminal and feedback the effect information after execution; The preprocessing system is used for data preprocessing, including data cleaning, conversion of structured data and unstructured data operations; The planning system is used to set up the execution plan that needs to be executed in daily work; The underlying scheduling system is used to collect the relationship model between transactions and transaction execution. That is, based on the collected transaction information, the underlying scheduling system starts the corresponding execution plan according to the model; The computing power allocation system is used to dispatch the computing power resources that can be controlled by the computing power allocation system, solve some transactions nearby, evaluate the load of each computing power resource, bind it with the location of the transaction, and include it in the available resource plan; The solution library system is used to establish the underlying rules. Within the scope of the underlying rules, the execution plan is selected from the solution library according to the transaction and its parameters, the transaction is bound to the execution plan, and the solution library is iterated according to the feedback from the collection system. The global scheduling system is used to handle the interference problems of feedback from various systems and perform overall coordination.

2. According to claim 1, an artificial intelligence-based city service management system is characterized by: Positioning systems, including global navigation satellite systems, including the United States' GPS, Russia's GLONASS, China's BeiDou Satellite Navigation System BDS, GIS positioning systems, and network-based positioning systems; The collection system includes cameras, sensors installed at various locations in the city, sensors installed on various equipment, and terminals for receiving and publishing transactions.

3. The artificial intelligence-based city service management system according to claim 1 is characterized in that: The preprocessing system also includes the step of extracting keywords from features, and structuring the collected features as the data basis for subsequent process processing; According to the extracted keywords, the collected keywords are made into a task list; The pre-processing system is provided with an artificial intelligence module based on at least two classification functions. First, the collected data is first divided into various categories of affairs, including: garden and environmental protection affairs, cleaning affairs, safety affairs, transportation affairs, fire affairs, garbage disposal affairs, water supply affairs and drainage affairs; Clustering data in similar locations to divide them into the same and similar transactions, where the same and similar transactions refer to transactions that can be executed simultaneously; secondly, dynamically adjusting the priority of related transactions based on transaction categories and transaction weight parameters, giving priority to high-priority transactions.

4. According to claim 3, an artificial intelligence-based city service management system is characterized by: The weight parameters include the number of customer feedbacks and transaction waiting time.

5. According to claim 1, an artificial intelligence-based city service management system is characterized by: It also includes an alarm system for handling matters that cannot be classified or urgent matters that exceed the preset priority level. After handling, the matters that cannot be classified are incorporated into the iterated classification rules.

6. According to claim 1, an artificial intelligence-based city service management system is characterized by: The execution affairs in the planning system include: daily urban cleaning execution affairs, greening and environmental protection execution affairs in preset time periods, preset traffic management affairs, and water supply and drainage affairs preset by sanitation; The planning system should provide redundancy in equipment and personnel to cope with emergency situations.

7. According to claim 1, an artificial intelligence-based city service management system is characterized by: The computing power allocation system evaluates the computing power resources required for the unplanned transactions, and allocates the unplanned transactions to the corresponding computing power resources nearby for processing according to the load of each computing power resource, including: collecting available computing power resources, binding computing power resources with the positioning system, and specifying computing power resources for unplanned transactions; The computing power allocation system also saves unstructured data according to the transaction list and updates the storage location to the transaction list. When the computing power allocation system requires more data, the corresponding unstructured data is called from the storage location to greatly save bandwidth resources.

8. According to claim 1, an artificial intelligence-based city service management system is characterized in that: The selection process in the library system includes: the selection of the complete solution and the selection of the combination of different execution modules; The results of feedback include positive feedback and negative feedback; When positive feedback results are collected, positive feedback operations are performed in the solution library. When negative feedback results are collected, negative feedback operations are performed in the solution library. Positive and negative feedback are clustered and the feedback results are sent to the global scheduling system.

9. According to claim 1, an artificial intelligence-based city service management system is characterized by: It also includes an interactive artificial intelligence module, which is an interactive system based on natural language and can read all public resources in each system; The interactive artificial intelligence module is used to answer user questions, assist in collecting event information, collect user feedback on urban management services and execution of affairs, and distribute the corresponding data to different system modules after pre-processing; The interactive artificial intelligence module is also used to assist the global scheduling system in scheduling, to optimize the execution plan of the solution library system, and to optimize the path planning in the positioning system.

10. According to claim 9, an artificial intelligence-based city service management system is characterized by: It also includes an unstructured instruction set that interacts with the interactive artificial intelligence module.

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