Smart city management method based on digitization

Abstract

The invention discloses a smart city management method based on digitization, and belongs to the field of digital city management. The method comprises the following steps: acquiring booth reporting information; collecting a vendor limited transaction area, and generating vendor matching degree information based on the vendor reporting information; identifying and recording abnormal vendor information based on vendor matching degree information; synchronously collecting traffic thermodynamic information of each boundary of the trading area limited by the vendor on the current day in a fixed time period; according to the method, the refinement degree of vendor management can be improved, it is ensured that vendors operate in proper areas, and the market order is improved. And by accurately identifying the abnormal vendors, the market order is guaranteed. Meanwhile, traffic thermodynamic information is collected and analyzed, an intervention instruction in the next week is generated, traffic congestion can be effectively prevented, and the traffic smoothness of a transaction area is improved.

Description

Technical Field

[0001] The present invention belongs to the field of digital city management, and more specifically, relates to a digital-based smart city management method. Background Art

[0002] With the rapid advancement of urbanization, urban populations are constantly increasing, and urban scale continues to expand. Urban management faces numerous severe challenges. Traditional urban management models rely on manual inspections and empirical decision-making, which are inefficient and difficult to guarantee accuracy. In urban street vendor management, faced with the complex and ever-changing business models and locations, traditional manual management and patrol methods cannot achieve comprehensive, real-time, and long-term monitoring and management. Failure to promptly manage traffic can cause traffic congestion, affecting citizens' travel efficiency and the city's appearance. However, long-term manual supervision and inspections are time-consuming and labor-intensive, and are prone to emotional conflicts caused by manual management.

[0003] The rise of digital technology has brought new opportunities for smart city management. However, in response to the above-mentioned practical problems, digital management technology has failed to fully utilize its technological advantages to achieve efficient, accurate, and intelligent city management. Therefore, it is urgent to develop a digital smart city management method. Summary of the Invention

[0004] In response to the shortcomings of the existing technology, the purpose of the present invention is to provide a digital-based smart city management method, aiming to solve the problem that the traditional urban management model relies on manual inspections and experience-based decision-making, which is inefficient and difficult to ensure accuracy.

[0005] To achieve the above objectives, the present invention provides a digital-based smart city management method, the method comprising:

[0006] Obtain vendor registration information;

[0007] Collect real-time image information of vendors' restricted trading areas and generate vendor matching information based on vendors' reporting information;

[0008] Based on the vendor matching information, identify and record abnormal vendor information and generate patrol instructions;

[0009] Simultaneously collect traffic heat information for each defined time period in the vendors’ restricted trading area on the same day;

[0010] Statistics are collected and identified on the day, and traffic heat information for each defined time period in the vendors’ restricted trading area is generated to generate intervention instructions for the restricted trading area on the corresponding day of the following week.

[0011] As a further solution of the present invention, the collecting of real-time image information of vendor-defined trading areas and generating vendor matching information based on vendor registration information specifically includes:

[0012] Regularly obtain real-time image information of vendors' restricted trading areas;

[0013] Extracting business location information and vending vehicle appearance image information from vendors’ reporting information;

[0014] Correlate business location information and sales vehicle appearance image information;

[0015] Based on the real-time image information of the vendor's limited trading area, locate and generate the limited trading area unit;

[0016] Matching business location information and limiting transaction area units;

[0017] After the matching is completed, the real-time image information of the sales vehicle in the limited transaction area unit is extracted;

[0018] If there is no real-time image information of the vehicle body for sale in the restricted transaction area unit, generate and mark a vacant restricted transaction area unit;

[0019] Identify the similarity between the real-time image information of the sales vehicle and the image information of the appearance of the sales vehicle;

[0020] If the similarity is lower than the similarity threshold, the real-time image information of the vending vehicle is located and uploaded to generate abnormal vendor information.

[0021] As a further solution of the present invention, the identification and recording of abnormal vendor information based on vendor matching information and the generation of patrol instructions specifically include:

[0022] Obtaining the number of abnormal vendor information, and determining whether the number of abnormal vendor information is greater than a first number threshold and less than a second number threshold;

[0023] If the number of abnormal vendor information is greater than the first number threshold and less than the second number threshold, obtaining the number of vacant restricted transaction area units in the real-time image information of the vendor restricted transaction area;

[0024] If the number of abnormal vendor information is greater than or equal to the second threshold or the number of abnormal vendor information is greater than the number of vacant restricted transaction area units, a patrol instruction is generated.

[0025] As a further solution of the present invention, the synchronous collection of traffic thermal information of each defined time period in the vendor's limited trading area on the same day specifically includes:

[0026] Obtain pedestrian and vehicle traffic data for each defined time period in the vendor's restricted trading area on the day; the defined time periods are divided into morning peak period, noon peak period, and evening peak period;

[0027] Based on the pedestrian and vehicle flow data of each defined time period in the vendors’ restricted trading area on that day, the traffic congestion index for each defined time period is calculated and generated.

[0028] As a further solution of the present invention, the method of collecting and identifying traffic heat information of each defined time period in the vendor's restricted trading area on the same day and generating intervention instructions for the restricted trading area on the corresponding day of the next week specifically includes:

[0029] If the traffic congestion index of a defined time period is greater than the congestion index threshold, locate the cycle number of that day;

[0030] During the defined period of the corresponding day in the next week of the cycle number, generate and send information on the reduction of the vendor's restricted trading area;

[0031] On a weekly basis, the traffic congestion index for the defined time period on the corresponding day of the next week is continuously calculated, and the scope of the restricted trading area for vendors is updated.

[0032] On the other hand, the present invention also provides a digital-based smart city management system, the system comprising:

[0033] Acquisition module, used to obtain vendor registration information;

[0034] The first acquisition module is used to collect real-time image information of the vendor's designated trading area;

[0035] The first generation module is used to generate vendor matching information based on the vendor registration information;

[0036] Identification and recording module, used to identify and record abnormal vendor information based on vendor matching information;

[0037] The second generation module is used to generate patrol instructions;

[0038] The second collection module is used to synchronously collect traffic heat information of the vendors' restricted trading areas during each defined period of time on the same day;

[0039] The statistical recognition module is used to count and identify the traffic heat information of the vendors' limited trading areas during each defined period of the day;

[0040] The third generation module is used to generate intervention instructions for the restricted trading area on the corresponding day of the next week.

[0041] As a further solution of the present invention, the second acquisition module specifically includes:

[0042] An acquisition unit is used to obtain the pedestrian and vehicle flow data of the vendors’ restricted trading area during each defined period on the day;

[0043] The calculation and generation unit is used to calculate and generate the traffic congestion index for each defined time period based on the pedestrian and vehicle flow data of each defined time period in the vendor's restricted trading area on the day.

[0044] As a further solution of the present invention, the statistical identification module specifically includes:

[0045] The positioning unit locates the number of cycles on a day if the traffic congestion index of a defined time period is greater than a congestion index threshold;

[0046] A generating and sending unit, configured to generate and send information on narrowing down the limited trading area for vendors during a defined period of time on a corresponding day in the next week of the cycle number;

[0047] A statistical unit is used to continuously calculate the traffic congestion index of the defined time period of the corresponding day of the following week on a weekly basis;

[0048] The update unit is used to update the scope of the vendor's restricted trading area.

[0049] The present invention also provides an electronic device, comprising: a computer-readable storage medium and a processor;

[0050] The computer-readable storage medium is used to store executable instructions;

[0051] The processor is configured to read the executable instructions stored in the computer-readable storage medium and execute the above method.

[0052] The present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to execute the above method.

[0053] The present invention also provides a computer program product, comprising a computer program or instructions, wherein the computer program or instructions implement the above method when executed by a processor.

[0054] Compared with existing technologies, the digital-based smart city management method provided by the present invention, through the above technical solutions, can improve the level of refinement in vendor management, ensure that vendors operate in appropriate areas, and improve market order. Market order is ensured by accurately identifying abnormal vendors. At the same time, the collection and analysis of traffic thermal information and the generation of intervention instructions for the next week can effectively prevent traffic congestion, improve traffic flow in trading areas, create a good travel and business environment for residents and vendors, and realize intelligent and efficient urban management. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 It is a main flow chart of a digital-based smart city management method.

[0056] Figure 2 The invention relates to a flow chart for collecting real-time image information of vendors' restricted trading areas in a digital smart city management method and generating vendor matching information based on vendor reporting information.

[0057] Figure 3The invention relates to a digital smart city management method for identifying and recording abnormal vendor information based on vendor matching information and generating patrol instructions.

[0058] Figure 4 It is a flow chart for synchronously collecting traffic thermal information of vendors in limited trading areas during each defined time period in a digital-based smart city management method.

[0059] Figure 5 The invention is a flow chart for counting and identifying the traffic heat information of each defined time period in the limited trading area of ​​vendors on the same day in a digital smart city management method to generate intervention instructions for the limited trading area on the corresponding day of the next week.

[0060] Figure 6 It is a main structure diagram of a digital-based smart city management system.

[0061] Figure 7 It is a structural block diagram of the second acquisition module in a digital-based smart city management system.

[0062] Figure 8 It is a structural block diagram of the statistical identification module in a digital smart city management system. DETAILED DESCRIPTION

[0063] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely for explaining the present invention and are not intended to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.

[0064] The specific implementation of the present invention is described in detail below with reference to specific embodiments.

[0065] The present invention provides a digital-based smart city management method, such as Figure 1 FIG. 1 is a main flow chart of a digital-based smart city management method provided by an embodiment of the present invention, wherein the digital-based smart city management method includes:

[0066] Step S100: Obtain vendor registration information;

[0067] Step S200: collecting real-time image information of the vendor's restricted trading area, and generating vendor matching information based on the vendor's reporting information;

[0068] Step S300: Based on the vendor matching information, identify and record abnormal vendor information and generate patrol instructions;

[0069] Step S400: synchronously collecting traffic heat information of each defined time period in the vendor's restricted trading area on the day;

[0070] Step S500: Count and identify the traffic heat information of each defined time period in the vendor's restricted trading area on the day, and generate intervention instructions for the restricted trading area on the corresponding day of the next week;

[0071] When this embodiment is applied, first, the vendor's registration information is obtained through the information collection system. The registration information records the vendor's identity, business location, experience, and the appearance of the vendor's vehicle. At the same time, geographic information technology is used to accurately collect the boundary and range data of the vendor's restricted trading area. The vendor's registration information is correlated with the restricted trading area and, based on the set matching rules, the vendor's matching degree information is generated. Based on the matching degree information, the vendor information is screened using a pre-set anomaly recognition model to identify abnormal vendor information that does not meet the requirements. Based on the identification results, patrol instructions are generated. Simultaneously, traffic monitoring equipment is used to collect traffic thermal information for each time period in the vendor's restricted trading area on that day, covering data such as pedestrian and vehicle flow. The collected traffic thermal information is statistically analyzed to calculate the traffic congestion index and population density for each time period. Based on the analysis results, combined with historical data and empirical models, intervention instructions for the restricted trading area for the corresponding day of the following week are generated to adjust the vendor distribution and thus optimize regional traffic.

[0072] like Figure 2 As shown, as a preferred embodiment of the present invention, the collecting of real-time image information of vendor-defined trading areas and generating vendor matching information based on vendor registration information specifically includes:

[0073] Step S201: Regularly obtain real-time image information of the vendor's designated trading area;

[0074] Step S202: extracting the business location information and the appearance image information of the vending vehicle from the vendor's registration information;

[0075] Step S203: Associating the business location information with the sales vehicle appearance image information;

[0076] Step S204: Locate and generate a defined transaction area unit based on the real-time image information of the vendor's defined transaction area;

[0077] Step S205: matching the business location information and the limited transaction area unit;

[0078] Step S206: After the matching is completed, extract the real-time image information of the sales vehicle in the limited transaction area unit;

[0079] Step S207: If there is no real-time image information of the vehicle body for sale in the limited transaction area unit, generate and mark a vacant limited transaction area unit;

[0080] Step S208: identifying the similarity between the real-time image information of the vending vehicle and the image information of the vending vehicle's appearance;

[0081] Step S209: if the similarity is lower than the similarity threshold, locate and upload the real-time image information of the vending vehicle and generate abnormal vendor information;

[0082] When applied, this embodiment first periodically acquires real-time image information of vendors' designated trading areas. It also extracts the business location information and the exterior image information of their sales vehicles from the vendors' registered information and associates the two. Next, based on the real-time image information of the designated trading areas, it locates and generates designated trading area units. The business location information is then matched with the designated trading area units. Upon a successful match, the real-time image information of the sales vehicles in the corresponding units is extracted. If the units do not contain such information, the designated designated trading area units are marked as vacant. Furthermore, the system identifies the similarity between the real-time image information of the sales vehicles and the exterior image information of the sales vehicles. Once the similarity falls below a set threshold, the real-time image information of the sales vehicles is located and uploaded. Information on abnormal vendors is also generated. This enables comprehensive and accurate monitoring and management of vendor operations within the designated trading areas, enabling timely detection and record-keeping of abnormalities.

[0083] like Figure 3 As shown, as a preferred embodiment of the present invention, the identification and recording of abnormal vendor information based on vendor matching information and the generation of patrol instructions specifically include:

[0084] Step S301: Obtain the number of abnormal vendor information, and determine whether the number of abnormal vendor information is greater than a first number threshold and less than a second number threshold;

[0085] Step S302: If the number of abnormal vendor information is greater than a first threshold and less than a second threshold, obtain the number of vacant restricted transaction area units in the real-time image information of the vendor restricted transaction area;

[0086] Step S303: If the number of abnormal vendor information is greater than the number of vacant restricted transaction area units or the number of abnormal vendor information is greater than a second threshold, a patrol instruction is generated;

[0087] In this embodiment, during its initial implementation, the system accurately captures the number of abnormal vendor information, then conducts a detailed comparison against pre-set first and second thresholds to determine whether the number falls between these thresholds. If the number of abnormal vendor information falls within the first and second thresholds, the system further accurately extracts the number of vacant restricted trading area units from real-time imagery of the vendor restricted trading area. Finally, a comprehensive conditional assessment is performed. If the number of abnormal vendor information exceeds the number of vacant restricted trading area units, or if the number of abnormal vendor information exceeds the second threshold, a patrol instruction is generated.

[0088] like Figure 4 As shown in FIG. 1 , as a preferred embodiment of the present invention, the synchronous collection of traffic thermal information of each defined time period in the vendor's limited trading area on the same day specifically includes:

[0089] Step S401: Obtaining pedestrian and vehicle traffic data for each defined time period in the vendor's restricted trading area on the day; the defined time periods are divided into morning peak period, noon peak period, and evening peak period;

[0090] Step S402: Calculating and generating a traffic congestion index for each defined time period based on the pedestrian and vehicle flow data for each defined time period in the vendor's restricted trading area on that day;

[0091] It should be understood that data collection is conducted regularly for each sector of the vendors' restricted trading area during the day, according to the morning peak period, the noon peak period, and the evening peak period, and the pedestrian and vehicle flow data for each period are obtained respectively. Based on the collected pedestrian and vehicle flow data, the traffic congestion index for each defined period is calculated and generated. The traffic congestion index = (actual pedestrian flow / maximum pedestrian flow capacity of the area during the period + actual vehicle flow / maximum vehicle flow capacity of the area during the period) / 2. The collection and analysis of pedestrian and vehicle flow data for each defined period in the vendors' restricted trading area on the same day, as well as the generation of the traffic congestion index, provides a basis for the relevant management departments to fully understand the regional traffic conditions, which helps to formulate reasonable traffic diversion and management strategies.

[0092] like Figure 5 As shown, as a preferred embodiment of the present invention, the method of counting and identifying the traffic heat information of each defined time period in the vendor's limited trading area on the same day and generating the intervention instruction for the limited trading area on the corresponding day of the next week specifically includes:

[0093] Step S501: If the traffic congestion index of a defined time period is greater than the congestion index threshold, locate the cycle number of the day;

[0094] Step S502: generating and sending information on narrowing down the limited trading area for vendors during the defined time period corresponding to the day of the next week of the cycle number;

[0095] Step S503: Continuously calculate the traffic congestion index of the defined time period of the corresponding day in the following week on a weekly basis, and update the limited trading area for vendors;

[0096] When implemented, this embodiment continuously monitors the traffic congestion index for each time period and area. Once the traffic congestion index for a defined time period exceeds a pre-set congestion index threshold, the system immediately activates a positioning mechanism to determine the cycle number of that day in the time series. This cycle number represents the day of the week corresponding to that day, enabling subsequent precise tracking. Based on the cycle number, the system calculates the same defined time period for the corresponding day of the following week. For that time period, information about the reduction of the vendor's restricted trading area is automatically generated and promptly transmitted to relevant management departments and vendor groups through established communication channels to ensure timely and accurate information transmission. The traffic congestion index for the defined time period of the corresponding day of the following week is continuously calculated on a weekly basis. The newly acquired index is compared and analyzed with historical data and expected targets, and the scope of the vendor's restricted trading area is dynamically adjusted based on the analysis results. If the congestion index continues to improve, the area restrictions may be appropriately relaxed; if congestion persists, the trading area is further reduced until the desired traffic congestion control effect is achieved. This achieves refined management of the vendor's restricted trading area and ensures stable and smooth regional traffic.

[0097] like Figure 6 As shown, as another preferred embodiment of the present invention, on the other hand, a digital-based smart city management system includes:

[0098] The acquisition module 100 is used to obtain vendor registration information;

[0099] The first acquisition module 200 is used to collect real-time image information of the vendor's designated trading area;

[0100] The first generating module 300 is used to generate vendor matching information based on the vendor registration information;

[0101] Identification and recording module 400, for identifying and recording abnormal vendor information based on vendor matching information;

[0102] The second generating module 500 is used to generate a patrol instruction;

[0103] The second collection module 600 is used to simultaneously collect the traffic heat information of each defined time period in the vendor's limited trading area on the same day;

[0104] The statistical identification module 700 is used to count and identify the traffic heat information of each defined time period in the vendor's limited trading area on the same day;

[0105] The third generating module 800 is used to generate a limited trading area intervention instruction for the corresponding day of the next week.

[0106] When this embodiment is applied, the acquisition module 100 acquires the vendor's reporting information, the first acquisition module 200 collects real-time image information of the vendor's restricted trading area, based on the vendor's reporting information, the first generation module 300 generates the vendor matching information, based on the vendor matching information, the identification and recording module 400 identifies and records abnormal vendor information, the second generation module 500 generates patrol instructions, the second acquisition module 600 synchronously collects the traffic thermal information of each defined time period in the vendor's restricted trading area on the day, the statistical identification module 700 counts and identifies the traffic thermal information of each defined time period in the vendor's restricted trading area on the day, and the third generation module 800 generates an intervention instruction for the restricted trading area on the corresponding day of the next week.

[0107] like Figure 7 As shown, as another preferred embodiment of the present invention, the second acquisition module 200 specifically includes:

[0108] The acquisition unit 201 is used to obtain the pedestrian and vehicle flow data of the vendor's designated trading area during each defined time period on the day;

[0109] The calculation and generation unit 202 is used to calculate and generate the traffic congestion index for each defined time period based on the pedestrian and vehicle flow data for each defined time period in the vendor's limited trading area on that day.

[0110] When this embodiment is applied, the acquisition unit 201 obtains the pedestrian and vehicle flow data for each defined time period in the vendor's restricted trading area on the day. Based on the pedestrian and vehicle flow data for each defined time period in the vendor's restricted trading area on the day, the calculation and generation unit 202 calculates and generates the traffic congestion index for each defined time period.

[0111] like Figure 8 As shown, as another preferred embodiment of the present invention, the statistical identification module 700 specifically includes:

[0112] The positioning unit 701 locates the cycle number of a day if the traffic congestion index of a defined time period is greater than the congestion index threshold;

[0113] Generate and send 702, for generating and sending the vendor's limited trading area reduction information during the defined time period corresponding to the day of the next week of the cycle number;

[0114] The statistics unit 703 is used to continuously calculate the traffic congestion index of the defined time period of the corresponding day in the next week on a weekly basis;

[0115] The updating unit 704 is used to update the limited trading area of ​​the vendor.

[0116] When this embodiment is applied, if the traffic congestion index of a certain defined time period is greater than the congestion index threshold, the positioning unit 701 locates the cycle number of the day, and generates and sends 702 the information of reducing the limited trading area for vendors in the defined time period of the corresponding day of the next week of the cycle number, in weekly units. The statistical unit 703 continuously counts the traffic congestion index of the defined time period of the corresponding day of the next week, and the updating unit 704 updates the scope of the limited trading area for vendors.

[0117] The above-described embodiments of the present invention provide a digital-based smart city management method and a digital-based smart city management system. First, vendor registration information is obtained through an information collection system. This registration information records the vendor's identity, business location, experience, and the appearance of their vehicle. Simultaneously, geographic information technology is used to accurately collect boundary and range data for the vendor's designated trading area. The vendor registration information is correlated with the designated trading area, and vendor matching information is generated based on pre-defined matching rules. Based on this matching information, vendor information is screened using a pre-defined anomaly recognition model to identify vendor information that does not meet specified requirements. Based on the identification results, patrol instructions are generated. Simultaneously, traffic monitoring equipment is used to collect traffic thermal information for each time period within the vendor's designated trading area, covering data such as pedestrian and vehicle flow. Statistical analysis is performed on the collected traffic thermal information to calculate traffic congestion index, population density, and other data for each time period. Based on the analysis results, combined with historical data and empirical models, intervention instructions are generated for the corresponding trading areas for the following week, adjusting the distribution of vendors and thus optimizing regional traffic. This method and system can improve the refinement of vendor management, ensure that vendors operate in appropriate areas, and enhance market order. Market order is ensured by accurately identifying abnormal vendors. Furthermore, the collection and analysis of traffic thermal information and the generation of intervention instructions for the following week can effectively prevent traffic congestion, improve traffic flow in trading areas, create a favorable travel and business environment for residents and vendors, and achieve intelligent and efficient urban management.

[0118] In order to enable the above-mentioned method and system to be loaded and run smoothly, in addition to the various modules mentioned above, the system may also include more or fewer components than described above, or a combination of certain components, or different components, for example, it may include input and output devices, network access devices, buses, processors and memories, etc.

[0119] The processor may be a central processing unit, other general-purpose processors, digital signal processors, application-specific integrated circuits, off-the-shelf programmable gate arrays or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor. The processor is the control center of the system, connecting various components using various interfaces and lines.

[0120] The technical features of the above-mentioned embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above-mentioned embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0121] The above-described embodiments merely illustrate several implementations of the present invention, and while their descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art would be able to make numerous variations and improvements without departing from the spirit of the present invention, all of which fall within the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be determined by the appended claims.

[0122] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A digital-based smart city management method, characterized in that: The method comprises: Obtain vendor registration information; Collect real-time image information of vendors' restricted trading areas and generate vendor matching information based on vendors' reporting information; Based on the vendor matching information, identify and record abnormal vendor information and generate patrol instructions; Simultaneously collect traffic heat information for each defined time period in the vendors’ restricted trading area on the same day; Statistics are collected and identified on the day, and traffic heat information for each defined time period in the vendors’ restricted trading area is generated to generate intervention instructions for the restricted trading area on the corresponding day of the following week.

2. The digital-based smart city management method according to claim 1 is characterized in that: The collecting of real-time image information of vendors' restricted trading areas and generating vendor matching information based on vendors' reporting information specifically includes: Regularly obtain real-time image information of vendors' restricted trading areas; Extracting business location information and vending vehicle appearance image information from vendors’ reporting information; Correlate business location information and sales vehicle appearance image information; Based on the real-time image information of the vendor's limited trading area, locate and generate the limited trading area unit; Matching business location information and limiting transaction area units; After the matching is completed, the real-time image information of the sales vehicle in the limited transaction area unit is extracted; If there is no real-time image information of the vehicle body for sale in the restricted transaction area unit, generate and mark a vacant restricted transaction area unit; Identify the similarity between the real-time image information of the sales vehicle and the image information of the appearance of the sales vehicle; If the similarity is lower than the similarity threshold, the real-time image information of the vending vehicle is located and uploaded to generate abnormal vendor information.

3. The digital-based smart city management method according to claim 2, characterized in that: The identification and recording of abnormal vendor information based on vendor matching information and the generation of patrol instructions specifically include: Obtaining the number of abnormal vendor information, and determining whether the number of abnormal vendor information is greater than a first number threshold and less than a second number threshold; If the number of abnormal vendor information is greater than the first number threshold and less than the second number threshold, obtaining the number of vacant restricted transaction area units in the real-time image information of the vendor restricted transaction area; If the number of abnormal vendor information is greater than or equal to the second quantity threshold or the number of abnormal vendor information is greater than the number of vacant restricted transaction area units, a patrol instruction is generated.

4. The digital-based smart city management method according to claim 1, characterized in that: The synchronous collection of traffic heat information of each defined time period in the vendor's limited trading area on the day specifically includes: Obtain pedestrian and vehicle traffic data for each defined time period in the vendor's restricted trading area on the day; the defined time periods are divided into morning peak period, noon peak period, and evening peak period; Based on the pedestrian and vehicle flow data of each defined time period in the vendors’ restricted trading area on that day, the traffic congestion index for each defined time period is calculated and generated.

5. The digital-based smart city management method according to claim 4 is characterized in that: The method of collecting and identifying the traffic heat information of each defined time period in the vendor restricted trading area on the same day and generating intervention instructions for the restricted trading area on the corresponding day of the next week specifically includes: If the traffic congestion index of a defined time period is greater than the congestion index threshold, locate the cycle number of that day; During the defined period of the corresponding day in the next week of the cycle number, generate and send information on the reduction of the vendor's restricted trading area; On a weekly basis, the traffic congestion index for the defined time period on the corresponding day of the next week is continuously calculated, and the scope of the restricted trading area for vendors is updated.

6. An electronic device, characterized in that: include: Computer-readable storage medium and processor; The computer-readable storage medium is used to store executable instructions; The processor is configured to read the executable instructions stored in the computer-readable storage medium and execute the method according to any one of claims 1 to 5.

7. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to execute the method according to any one of claims 1 to 5.

8. A computer program product comprising a computer program or instructions, characterized in that When the computer program or instruction is executed by a processor, the method according to any one of claims 1 to 5 is implemented.

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