Urban digital governance system and method based on digital twinning

Abstract

The invention discloses an urban digital governance system and method based on digital twinning, and relates to the technical field of urban digital management, the system discloses a road type statistics module, the road type statistics module is used for obtaining road type data in a preset area, and the road type data comprises a main elevated road area, an expressway area, a main road and a secondary road; the region division module is used for dividing the road types in the preset region into different sub-range regions according to the road type data after obtaining the road type data in the preset region, counting the number of street lamps in each region after the sub-range regions are divided, and numbering the street lamps one by one; according to factors such as function layout, road types and traffic flow distribution of a city, a street lamp network of the whole city is divided carefully, intelligent control is performed on street lamp illumination by combining traffic flow control illumination conditions, and sustainable development of the city is assisted.

Description

Technical Field

[0001] The present invention relates to the technical field of urban digital management, and more specifically, it relates to an urban digital governance system and method based on digital twin. Background Art

[0002] Urban digital management refers to the use of information technology and digital means to comprehensively, efficiently, and precisely manage and serve various resources, facilities, and activities in the city, so as to improve the urban operation efficiency, improve the quality of residents' lives, and promote the sustainable development of the city; In the actual application scenario of the urban lighting system, the control strategy of street lights is usually relatively basic and conventional. At present, most street lights are automatically turned on at specific times according to a preset time program, or when the ambient light brightness is lower than a preset threshold, they will turn on by themselves to meet the basic lighting needs of the road and provide safety guarantees for pedestrians and vehicles; However, this traditional street light control method has obvious limitations. In certain specific time periods and sections, such as remote suburban roads in the late night, the traffic flow is extremely scarce, and there are even no vehicles passing by for a long time. But according to the established control logic, the street lights still remain on continuously, consuming a large amount of electric energy unnecessarily. This not only causes a waste of energy but also increases unnecessary operating costs, running counter to the current concept of energy conservation and emission reduction. Summary of the Invention

[0003] Aiming at the deficiencies of the existing technology, the purpose of the present invention is to provide an urban digital governance system and method based on digital twin.

[0004] To achieve the above purpose, the present invention provides the following technical solutions: An urban digital governance system based on digital twin, comprising: A road type statistics module, used to obtain road type data within a preset area, where the road type data includes main elevated road areas, expressway areas, arterial roads, and secondary arterial roads; A regional division module, after obtaining the road type data within the preset area, divides the road types within the preset area into different sub-range areas according to the road type data, and counts the number of street lights in each area and numbers them one by one after dividing the sub-range areas; A traffic flow density statistics module, used to obtain the traffic flow volume in each sub-range area; A regional data analysis module, after obtaining the traffic flow volume in each sub-range area, generates adjustment data in combination with the number of street lights and environmental index information in the sub-range area, where the adjustment data includes first data and second data; The street lamp brightness adjustment module adjusts the illumination brightness of street lamps within a specified sub - range area based on the first data; The street lamp switch module controls the on - off of street lamps within a specified sub - range area based on the second data; The adaptive intelligent prediction module is used to predict the usage of street lamp illumination in each sub - range area; The optimization feedback module is used to optimize the prediction results of the intelligent prediction module.

[0005] Preferably, the specific way that the area data analysis module divides the road types within the preset area into different sub - range areas according to the road type data is as follows: Preset a total length of the area - dividing road; Associate the roads that are connected within the preset road connection value range, and number them one by one after obtaining the total distance of the connected roads. The road connection value is the longest distance between the road types with existing connections preset; Divide each number into different sub - range areas.

[0006] Preferably, before associating the roads that are connected within the preset road connection value range and numbering them one by one after obtaining the total distance of the connected roads, it further includes: Compare the total distance of the connected roads with the total length of the area - dividing road; If the total distance of the connected roads is greater than or equal to the preset total length of the area - dividing road, use the end point of the current road as the end point of the total length of the area - dividing road, and divide the roads that are connected within the area of the extended total distance of the connected roads into one sub - range area; If the total distance of the connected roads is less than the preset total length of the area - dividing road, use the end point of the next road of the current road as the end point of the total length of the area - dividing road, and divide the roads that are connected within the area of the extended total distance of the connected roads into one sub - range area.

[0007] Preferably, the step of dividing each number into different sub - range areas further includes: Equidistantly divide the area of the extended total distance of the connected roads into different segments; Determine the traffic flow within the range of each segment of the road; Within the range of the road with less traffic flow, brighten the illumination brightness of the street lamps in the current section through the street lamp brightness adjustment module; Within the range of the road with more traffic flow, dim the illumination brightness of the street lamps in the current section through the street lamp brightness adjustment module; Within the range of the road with no traffic flow, turn off the street lamps in the current section through the street lamp switch module.

[0008] Preferably, before the brightness of the street lights in the current section is reduced by the street light brightness adjustment module, the following steps are also included: Determine the basic parameters of the street lights within the current range, where the basic parameters of the street lights include the initial power of the street lights, the luminous efficiency of the street lights , the number of street lights , measure and record the distance from the th street light to the measurement point ; Determine the relevant parameters of the vehicle, where the relevant parameters of the vehicle include determining the average light flux of the vehicle's lights , count the traffic flow N, and measure the average distance from the vehicle to the measurement point ; Determine the environment-related parameters, where the environment-related parameters include the haze concentration C of the current weather, and determine the weather condition coefficient according to the current weather conditions , the haze attenuation coefficient , the comprehensive attenuation coefficient , the occlusion coefficient , the road surface reflectivity R, and the target illumination brightness ; According to the formula , obtain the power that the street lights need to be adjusted; where usually represents the initial physical quantity related to the i-th object or position, such as the initial power generally represents the efficiency or coefficient of the i-th object or process represents the distance from the i-th object or position to a certain reference point represents a physical quantity related to the point source is a constant, usually playing a role in correction and proportional scaling represents the illumination brightness generated by the vehicle's lights at this point represents the gain of the road surface reflection to the illumination brightness

[0009] Preferably, before the street lights in the current section are turned off by the street light switch module, the following steps are included: Obtain whether there are passing vehicles on other roads connected to the current section; If the vehicle does not pass through the current section, keep the street lights in the current section in the off state; If the vehicle passes through the current section, calculate the vehicle arrival time and control the street lights to turn on in advance.

[0010] Preferably, before controlling the street lights to turn on in advance after calculating the vehicle arrival time when the vehicle passes through the current section, the following steps are included: Determine the lighting range required for the current vehicle to travel on different road type sections; Preset a street lamp turning-on time. After obtaining the specific arrival time of the vehicle, turn on the street lamps within the required lighting range for the current vehicle on the current road type section during the preset street lamp turning-on time, and turn them on by gradually increasing the brightness of the street lamps. Then, according to the driving speed of the vehicle, turn on the street lamps in the current road area one by one to ensure that the lighting range of the street lamps is always within the required lighting range, and turn off the street lamps in the section after driving when it is determined that there are no subsequent vehicles.

[0011] Preferably, ensuring that the lighting range of the street lamps is always within the required lighting range specifically means: determining whether there are obstacles within the lighting range of the street lamps; Calculating the lighting brightness after the current obstacle blocks the street lamp; Comparing the current lighting brightness with the target lighting brightness for comparison; Calculating whether increasing the current lighting brightness reaches a certain proportion of the target lighting brightness of; If not, determining whether the lighting range can be compensated by increasing the power of adjacent street lamps; If so, compensate the lighting range by increasing the power of adjacent street lamps, turn off the blocked street lamps, and lower the brightness of other adjacent street lamps; If not, first increase the currently blocked street lamp to the maximum power, and then determine whether the lighting range reaches a certain proportion of the target lighting brightness after increasing the power of adjacent street lamps of; If it is possible, perform lighting by increasing the power of the corresponding street lamp; If not, send a warning notice to the vehicle owner and contact the relevant department for solution.

[0012] Preferably, the specific steps of sending a warning notice to the vehicle owner and contacting the relevant department for solution are as follows: It includes broadcasting to the drivers driving on the current section and sending the corresponding first warning information to each household. The content of the first warning information includes informing the current driver of the lighting situation of the driving section and broadcasting to the drivers of the section that will drive on the current section and sending the corresponding second warning information every month. The content of the second warning information includes informing the current driver of the lighting situation of the driving section and reminding to change the driving route.

[0013] On the other hand, the present invention also proposes a method for digital governance of a city based on digital twin, which is applicable to the above-mentioned system for digital governance of a city based on digital twin. The method includes the following steps: S1: Obtain the road type data within the preset area. The road type data includes the main elevated road area, expressway area, arterial road, and secondary arterial road. Obtain the road type data within the preset area; S2: Divide the road types within the preset area into different sub - range areas according to the road type data. After dividing the sub - range areas, count the number of street lights in each area and number them one by one; S3: Obtain the traffic flow volume in each sub - range area; S4: Combine the number of street lights and environmental index information in the sub - range area to generate adjustment data. The adjustment data includes the first data and the second data; S5: Adjust the illumination brightness of the street lights in the specified sub - range area based on the first data; S6: Control the on - off of the street lights in the specified sub - range area based on the second data.

[0014] Compared with the prior art, the present invention has the following beneficial effects: 1. According to factors such as the functional layout of the city, road types, and traffic flow distribution, the street light network of the entire city is carefully divided. Then, combined with traffic flow to control the lighting situation, intelligent control of street light lighting is carried out. Through this mode of zoning management of street lights and combining traffic flow to control lighting, the energy utilization efficiency is greatly improved. It truly achieves effectively saving energy while meeting the city's lighting needs, and contributes to the sustainable development of the city. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is the system block diagram of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0016] Refer to Figure 1 : The urban digital governance system based on digital twin includes: A road type statistics module, which is used to obtain the road type data within the preset area. The road type data includes the main elevated road area, expressway area, arterial road, and secondary arterial road. It should be noted that this module is mainly responsible for obtaining the road type data within the preset area. These data are the basis for the operation of the entire intelligent street light management system. By accessing data such as urban geographic information system (GIS) data and the road information database of the transportation department, using data parsing technology, road information within the preset area is screened out from a large amount of geographic and traffic data, and the road types are identified, including the main elevated road area, expressway area, arterial road, and secondary arterial road. The data source can be obtained from multiple channels, such as geographic information system data, transportation department databases, etc.

[0017] The area division module, after obtaining the road type data within the preset area, divides the road types within the preset area into different sub-range areas according to the road type data, and counts the number of street lights in each area and numbers them one by one after dividing the sub-range areas. It should be noted that after obtaining the road type data within the preset area, the road types within the preset area are divided into different sub-range areas according to these data. After the division is completed, the number of street lights in each area is counted and numbered one by one for subsequent precise management and control of the street lights. According to the characteristics and boundaries of different road types, the spatial analysis algorithm is used to divide the preset area into multiple sub-range areas. At the same time, by docking with the street light ledger data in the street light management system, the number of street lights in each sub-range area is counted and numbered according to certain rules, such as the area order, road direction, etc. Among them, the road type data provided by the road type statistics module and the street light management system ledger data.

[0018] The traffic flow density statistics module is used to obtain the traffic flow volume in each sub-range area. It should be noted that obtaining the traffic flow volume in each sub-range area is to comprehensively consider the demand of vehicle driving on the road for street light illumination and reasonably adjust the street light state. The traffic flow data is collected by means of devices such as geomagnetic sensors and vehicle detection cameras installed on the road. The geomagnetic sensor counts the number of vehicles by sensing the magnetic field change generated when the vehicle passes; the vehicle detection camera uses video detection technology to identify and count the passing vehicles. Finally, these data are summarized and analyzed to obtain the traffic flow density in each sub-range area.

[0019] The area data analysis module, after obtaining the traffic flow volume in each sub-range area, generates adjustment data in combination with the number of street lights and environmental index information in the sub-range area. The adjustment data includes the first data and the second data; It should be noted that after obtaining the personnel distribution and traffic flow volume in each sub-range area, in combination with the number of street lights and environmental index information (such as weather conditions, light intensity, etc.) in the sub-range area, adjustment data is generated. The adjustment data includes the first data and the second data, which are respectively used for street light brightness adjustment and street light switch control. The data analysis algorithm is used to comprehensively analyze multi-source data such as personnel density, traffic flow density, number of street lights, and environmental index. For example, when the personnel density is high and the traffic flow is large, the street light brightness is appropriately increased according to the environmental light intensity; when the environmental light is sufficient and the personnel and traffic flow are small, the street light brightness can be reduced or some street lights can be turned off. Through these analyses, the corresponding first data and second data are generated.

[0020] The street lamp brightness adjustment module adjusts the illumination brightness of street lamps within a specified sub - range area based on the first data. It should be noted that based on the first data generated by the area data analysis module, the illumination brightness of street lamps within the specified sub - range area is adjusted to achieve a balance between energy conservation and meeting lighting requirements. By communicating with the street lamp control system, it receives the first data and controls the dimming device of the street lamp, such as an intelligent dimming controller, according to the instructions in the data. The dimming device adjusts the output power of the street lamp according to the received signal, thereby changing the illumination brightness of the street lamp.

[0021] The street lamp switch module controls the switching of street lamps within a specified sub - range area based on the second data. It should be noted that based on the second data generated by the area data analysis module, the switching of street lamps within the specified sub - range area is controlled to further optimize the use of street lamps and achieve the purpose of energy conservation. It is connected to the street lamp control system, receives the second data, and controls the power switch device of the street lamp, such as an intelligent relay, according to the switch instructions in the data. The intelligent relay realizes the on - off operation of the street lamp according to the received signal.

[0022] The adaptive intelligent prediction module is used to predict the lighting usage of street lamps in each sub - range area. It should be noted that predicting the lighting usage of street lamps in each sub - range area provides a reference for the adjustment and control of street lamps in advance and improves the intelligence level of the system.

[0023] The optimization feedback module is used to optimize the prediction results of the intelligent prediction module. It should be noted that optimizing the prediction results of the intelligent prediction module, through the comparative analysis of actual data and predicted data, continuously adjusts the prediction model to improve the prediction accuracy. Compare the actual street lamp lighting usage (such as actual brightness adjustment, switch operation, etc.) with the prediction results of the intelligent prediction module. If it is found that there is a deviation between the prediction result and the actual situation, analyze the reasons for the deviation, such as data anomalies, unreasonable model parameters, etc. Then, adjust and optimize the prediction model according to the analysis results, such as updating model parameters, retraining the model, etc., to improve the prediction accuracy.

[0024] As a further embodiment, the specific method by which the area data analysis module divides the road types within the preset area into different sub - range areas according to the road type data is as follows: Preset a total road length for area division. Associate the roads that are connected within the preset road connection value range, and number them one by one after obtaining the total distance of the connected roads. The road connection value is the longest distance between the preset connected road types. Divide each number into different sub - range areas.

[0025] Specifically, when conducting road division and section management planning for a specific area, it is first necessary to determine a key parameter, namely the total length of the roads in the area division. This length value is determined comprehensively based on various factors such as actual management requirements, urban planning layout, and geographical information. For example, when building a street lamp management system for a newly developed urban area, the overall planning blueprint of the urban area will be referred to, and combined with the design layout of the road network, the total length of the roads that need to be included in the management scope will be estimated. Or for an area that has been built but needs to upgrade the street lamp management system, the total length of all roads in the area will be accurately measured through Geographic Information System (GIS) data, and this will be used as the basic value for subsequent operations. The setting of this total length provides a clear scope definition for subsequent road association and area division, which helps to improve the accuracy and efficiency of management; Furthermore, after determining the total length of the roads in the area division, a range of road connection values needs to be set. This range is determined based on the actual connectivity of the roads and the convenience of management. For example, in the urban road network, roads with a total distance within 500 meters that are connected may be associated, and at this time, 500 meters is the road connection value, and the connected roads within the road connection value are numbered; For roads that are within the preset road connection value range and are connected, the spatial analysis technology and topological relationship algorithm of the Geographic Information System are used to associate these roads. For example, by judging whether the endpoints of the roads coincide or the distance is within a certain threshold, it is determined whether two roads are connected. If a main road and a secondary road have an intersection connection within the preset range, then they are associated; After completing the road association, the total distance of each group of connected roads is accurately calculated using the measurement tools and algorithms of the Geographic Information System. This process involves the accurate measurement of complex shapes such as road curves and broken lines. For example, for a winding road, it will be decomposed into multiple line segments, and the total length will be obtained by measuring each segment and then accumulating; After obtaining the total distance of the connected roads, each group of connected roads is numbered according to certain rules. The numbering rules can be formulated according to the actual situation, such as in the direction of radiating from the city center outward, or according to the importance level of the roads, etc. For example, the main connected road group in the city center area is numbered 1, and it increases sequentially outward. Such numbering facilitates subsequent distinction and management of different connected road groups; Furthermore, for each numbered connected road group, it is further divided into different sub-range areas according to factors such as the function of the road, traffic flow, and surrounding environment. For example, for a connected road that contains multiple intersections and different section functions, the sections close to the commercial area and with a high density of people are divided into one sub-range area; the sections passing through the residential area and with relatively low traffic flow are divided into another sub-range area; Using the spatial analysis algorithm and the polygon division tool of the geographic information system, according to the set division basis, each connected road group corresponding to the number is divided into multiple sub-range areas. For example, by setting buffers, delimiting boundary lines, etc., sections of roads with different functions and characteristics are separated to form independent sub-range areas, and each sub-range area has relatively independent characteristics, which enables the street lamp management system to perform precise operations such as street lamp brightness adjustment, switch control, and lighting usage prediction according to the specific needs of different sub-range areas, such as population density, traffic flow density, etc., so as to achieve more intelligent and efficient street lamp management.

[0026] As a further embodiment, before associating the connected roads within the preset road connection numerical range and numbering them one by one after obtaining the total distance of the connected roads, it further includes: Comparing the total distance of the connected roads with the total length of the region-dividing roads; it should be noted that by comparing the total distance of the connected roads with the pre-set total length of the region-dividing roads, the coverage degree of the current connected roads in the entire preset region can be determined, providing a key basis for reasonably dividing the road range area and ensuring that the street lamp management system can accurately cover all road areas that need to be managed.

[0027] If the total distance of the connected roads is greater than or equal to the pre-set total length of the region-dividing roads, taking the end point of the current road as the end point of the total length of the region-dividing roads, and dividing the extended total distance of the connected roads and the connected roads within the region into a sub-range area; it should be noted that directly taking the end point of the current road as the end point of the total length of the region-dividing roads. This means that in this case, the current connected roads have completely covered or exceeded the preset region range. Then, sort out the connected roads within the extended total distance region of the connected roads. Through the spatial analysis tool of the geographic information system, identify the roads that are connected to each other within this range. Finally, divide these connected roads into a sub-range area. For example, in the road planning of a new urban area, the pre-set total length of the region-dividing roads is 5000 meters, and the total distance of a group of connected roads reaches 6000 meters. Then, take the end point of this group of connected roads (at 6000 meters) as the end point of the total length of the region-dividing roads, and then classify all the connected roads within 6000 meters into a sub-range area; Through the above division method, it can be ensured that in the case of a relatively concentrated road layout and a wide coverage range of connected roads, the relevant roads are uniformly managed, facilitating operations such as street lamp configuration, brightness adjustment, and maintenance management for this relatively independent area, and improving management efficiency.

[0028] If the total distance of the connected roads is less than the total length of the roads for regional division preset, take the end point of the next road of the current road as the end point of the total length of the roads for regional division, and divide the connected roads within the total distance area of the extended connected roads into a sub-range area; it should be noted that find the next road of the current road and take the end point of this next road as the end point of the total length of the roads for regional division. This is to ensure that a sufficiently long road range can be covered to meet the requirements of the preset total length of the roads for regional division. Then, similarly using the spatial analysis function of the geographic information system, find the connected roads within the total distance area of the extended connected roads. For example, if the preset total length of the roads for regional division is 8000 meters and the total distance of the current set of connected roads is 3000 meters, then find the next road of the current road. Assume that the end point of the next section of the road is at 8000 meters, and then screen all the connected roads within the range from the starting point of the current connected roads to 8000 meters. Finally, divide these connected roads into a sub-range area; This processing method is applicable to the situation where the road distribution is relatively scattered or there are multiple interrelated roads. By reasonably extending the road range, the integrity of the regional division is ensured, enabling the street lamp management system to comprehensively cover the roads within the preset area.

[0029] Among them, the arterial roads and the secondary arterial roads are divided into the same sub-range area. Further, in the division process, regardless of which of the above situations, the arterial roads and the secondary arterial roads are divided into the same sub-range area. This is because the arterial roads and the secondary arterial roads are closely connected in the urban traffic network and cooperate with each other functionally. The arterial roads bear the main traffic flow, and the secondary arterial roads play an auxiliary and diversion role. Dividing them into the same sub-range area facilitates unified adjustment of the street lamp brightness and on-off control according to their common characteristics such as traffic flow and personnel flow. For example, during the peak commuting hours, the traffic flow on both the arterial roads and the secondary arterial roads is large. Taking them as a sub-range area can increase the street lamp brightness simultaneously to ensure traffic safety; while during the late-night low-peak period, the brightness can be reduced or some street lamps can be turned off simultaneously to achieve energy conservation.

[0030] As a further embodiment, dividing each number into different sub-range areas further includes: The total distance area of the extended connected road is equally divided into different segments; it should be noted that in order to more accurately control the street lights according to the actual conditions of different road segments, it is necessary to subdivide the total distance area of the extended connected road. Equal-distance division is a simple and effective method, which can ensure the consistency of the length of each road segment, facilitating the subsequent statistical analysis and comparison of the traffic flow of each road segment; using the measurement and segmentation tools of Geographic Information System (GIS), according to the preset division length standard, the distance area in the connected road is equally divided. For example, if the length of each segment is set to 100 meters, a connected road with a total distance of 1000 meters will be divided into 10 segments. During the division process, the system will accurately mark the starting and ending coordinates of each road segment for subsequent positioning and data association.

[0031] Determine the traffic flow within the range of each road segment; specifically, various sensors installed on the road are used to collect traffic flow data. Commonly used ones include geomagnetic sensors, which detect the number of vehicles by sensing the geomagnetic changes caused by the passing of vehicles; and video detection cameras, which use image recognition technology to identify and count the types, quantities, and driving directions of passing vehicles. These sensors collect data in real time and transmit the data to the database of the intelligent street light management system; The system conducts real-time analysis and statistics on the collected traffic flow data. Through algorithms such as time series analysis, calculate the average traffic flow of each road segment at different time periods (such as every hour, every half hour, etc.). For example, during the morning rush hour on weekdays, the traffic flow per hour of a certain road segment is counted as 500 vehicles. At the same time, the system will also record the change trend of the traffic flow, providing more comprehensive data support for subsequent street light adjustment strategies.

[0032] Within the range of roads with low traffic flow, the street light brightness adjustment module brightens the street lights in the current road segment; specifically, when the traffic flow of a certain road segment is relatively low, the demand for light by vehicles on the road is relatively low, but in order to ensure basic traffic safety and lighting needs, it is necessary to appropriately increase the street light brightness. This is because in the case of low traffic flow, the visual environment for drivers and pedestrians is relatively dark, and appropriately increasing the brightness can enhance their recognition of the road conditions and reduce the occurrence of traffic accidents; After receiving the traffic flow data, the street light brightness adjustment module determines whether the traffic flow in the current road segment is low according to the preset traffic flow threshold. If it is lower than the threshold, the street light brightness adjustment module will send an instruction to the dimming device of the street light. The dimming device, according to the instruction, increases the street light brightness by changing the output power of the street light. For example, increase the output power of the street light from 50% to 80%, thereby achieving brightness adjustment.

[0033] Within the range of roads with heavy traffic, the brightness of streetlights in the current section is dimmed through the streetlight brightness adjustment module. It should be noted that on roads with relatively heavy traffic, the lights of vehicles themselves and the light in the surrounding environment are relatively sufficient. At this time, appropriately dimming the brightness of streetlights can not only meet the lighting requirements but also achieve the purpose of energy conservation. Excessive streetlight illumination may cause light pollution and affect the visual comfort of drivers. Dimming the brightness of streetlights can optimize the lighting environment; Further, similarly, the streetlight brightness adjustment module determines whether the traffic volume in the current section is large based on the traffic volume data and a preset traffic volume threshold. If it is higher than the threshold, the streetlight brightness adjustment module sends a dimming instruction to the dimming device. The dimming device reduces the output power of the streetlights according to the instruction to achieve brightness dimming. For example, the output power of the streetlights is reduced from 80% to 50%.

[0034] Within the range of roads with no traffic, the streetlights in the current section are turned off through the streetlight switch module. Further, when there is no traffic in a certain section for a period of time, turning on the streetlights not only wastes energy but may also cause unnecessary light interference to the surrounding environment. Turning off the streetlights can maximize energy conservation and reduce the impact on surrounding residents and the ecological environment; It should be noted that the streetlight switch module continuously monitors the traffic volume data of each section. When it detects that there is no traffic in a certain section within a preset time period (such as 30 consecutive minutes), the streetlight switch module sends a turn-off instruction to the power switch device of the streetlights (such as an intelligent relay). After receiving the instruction, the intelligent relay cuts off the power supply of the streetlights to achieve streetlight turn-off. When the traffic volume resumes, the streetlight switch module will turn on the streetlights again according to the preset rules.

[0035] As a further embodiment, before reducing the brightness of the streetlights in the current section through the streetlight brightness adjustment module, it also includes: Determine the basic parameters of the streetlights within the current range. The basic parameters of the streetlights include clarifying the initial power of the streetlights, the luminous efficiency of the streetlights , the number of streetlights , measure and record the distance from the th streetlight to the measurement point ; Determine the relevant parameters of the vehicles. The relevant parameters of the vehicles include determining the average light flux of the vehicle lights , count the traffic volume N, and measure the average distance from the vehicle to the measurement point ; Determine the relevant environmental parameters. The relevant environmental parameters include the haze concentration C of the current weather, and determine the weather condition coefficient according to the current weather conditions , the haze attenuation coefficient , the comprehensive attenuation coefficient , the occlusion coefficient , road surface reflectivity R and target illumination brightness ; According to the formula the power that the street lamp needs to adjust is obtained; where usually represents the initial physical quantity related to the i-th object or position, such as the initial power, generally represents the efficiency or coefficient of the i-th object or process, represents the distance from the i-th object or position to a certain reference point, represents a physical quantity related to the point source, a constant, usually playing a role in correction and proportional scaling, represents the illumination brightness generated by the vehicle's lights at this point, represents the gain of the road surface reflection to the illumination brightness.

[0036] Specifically, various factors affecting the illumination brightness are considered in the above formula, including the parameters of the street lamp itself (such as power, luminous efficiency, position), environmental factors (haze, weather, occlusion situation), and vehicle lights, etc. This enables comprehensive consideration of various situations in the actual road scene during the adjustment of the street lamp brightness, avoiding unreasonable illumination caused by only considering a single factor.

[0037] By combining the target illumination brightness with the comprehensively calculated actual illumination brightness, the power adjustment amount required for the street lamp can be accurately calculated. This helps to reasonably control the street lamp brightness under different environmental and traffic conditions, providing an appropriate illumination level. For example, in haze weather or when there are many vehicles, the street lamp can be automatically adjusted to an appropriate brightness, avoiding over-bright or over-dark illumination.

[0038] Flexible adjustments can be made according to different road types (such as different road surface reflectivities), different meteorological conditions (through the weather condition coefficient and haze attenuation coefficient), and different traffic flows (number of vehicles and vehicle light parameters). This enables the street lamp system to better adapt to complex and changeable actual usage scenarios, improving the lighting quality and energy utilization efficiency.

[0039] As a further embodiment, before turning off the street lamps in the current section through the street lamp switch module, it includes: Obtain whether there are passing vehicles on other roads connected to the current section; it should be noted that by understanding the traffic conditions of vehicles on other roads connected to the current section, it is judged whether there are vehicles passing through the current section, so as to reasonably control the street lamps in advance, avoid unnecessary energy waste, and ensure sufficient road lighting when there are vehicles passing. Furthermore, a variety of traffic monitoring devices are comprehensively utilized to detect passing vehicles. In addition to the geomagnetic sensors and video detection cameras mentioned above, a road checkpoint system can also be used. This system captures images of vehicles passing through the checkpoint and identifies the driving trajectories and route information of the vehicles. At the same time, in combination with the vehicle positioning data in the Intelligent Transportation System (ITS), such as the GPS positioning information of the vehicle, the movement path of the vehicle in the road network is tracked to determine whether it will pass through the current section. The data collected by these devices and systems are transmitted to the central processor of the intelligent street lamp management system in real time for integration and analysis.

[0040] If the vehicle does not pass through the current section, the street lamps in the current section are maintained in the closed state; it should be noted that after receiving the data from various detection devices and systems, the intelligent street lamp management system uses data analysis algorithms to accurately judge the driving trajectory of the vehicle. When it is determined that the vehicle is driving on other roads connected to the current section but will not enter the current section, the system, based on the principles of energy conservation and reduction of light pollution, maintains the street lamps in the current section in the closed state; The street lamp switch module continuously communicates with the central processor and receives the judgment result of the vehicle passing path. Once it is confirmed that the vehicle does not pass through the current section, the street lamp switch module does not send an opening instruction to the power switch device of the street lamp, ensuring that the street lamp remains powered off and closed, thereby achieving effective energy conservation. For example, in some remote industrial parks, there are few vehicles passing on some roads at night. By this method, unnecessary street lamp activation can be avoided, reducing energy consumption costs.

[0041] If the vehicle passes through the current section, the arrival time of the vehicle is calculated and the street lamp is controlled to turn on in advance. It should be noted that when the system determines that a vehicle will pass through the current section, using information such as the real-time speed, current position of the vehicle, and the distance from the current section, the arrival time of the vehicle at the current section is calculated through a mathematical model. For example, if a vehicle is still 2 kilometers away from the starting point of the current section and its current driving speed is 60 kilometers per hour, by simply dividing the distance by the speed, it can be calculated that the vehicle will reach the current section in about 2 minutes. The system also updates the driving data of the vehicle in real time and dynamically adjusts the calculation result of the arrival time to ensure the accuracy of time prediction; After calculating the vehicle arrival time, the street lamp switch module sends an opening instruction to the power switch device of the street lamp (such as an intelligent relay) according to a preset early start time (such as 1 minute in advance). After receiving the instruction, the intelligent relay turns on the power of the street lamp, so that the street lamp lights up in time before the vehicle arrives, providing sufficient lighting for vehicle driving. For example, at the ramp of the expressway in some cities, when it is detected that a vehicle is about to enter the ramp, the street lamps on the ramp are turned on in advance to ensure the safe entry of the vehicle. This early control mechanism can not only meet the lighting requirements, but also avoid the situation that the street lamp fails to turn on in time due to the sudden arrival of the vehicle, improving the intelligence and reliability of road lighting.

[0042] As a further embodiment, if a vehicle passes through the current section, before calculating the vehicle arrival time and controlling the street lamp to turn on in advance, it includes: Determine the lighting range required for the current vehicle to travel on sections of different road types; it should be noted that different road types have different traffic characteristics and lighting requirements. For example, in the elevated road area and the expressway area, vehicles travel at high speeds and require a wider and more uniform lighting range to ensure that drivers can clearly see the road conditions, traffic signs, and obstacles in the distance in advance. Generally, the lighting range may cover 15-20 meters on both sides of the lane, or even farther. In other branch roads in the city, the vehicle driving speed is relatively slow, and the lighting range can be appropriately reduced. 8-12 meters on both sides of the lane can meet the basic needs. In addition, the surrounding road environment needs to be considered, such as whether there are buildings blocking, whether it is in a special position such as a curve or an intersection. For a road in a curve, the lighting range needs to be appropriately extended towards the inner side of the curve to help the driver see the curve direction; at an intersection, a larger lighting range is required to cover the vehicle driving paths in all directions; Furthermore, with the help of Geographic Information System (GIS) data, combined with road design standards and actual traffic monitoring data to determine the lighting range. First, obtain information such as the geometric shape, slope, and curvature of the road, as well as the surrounding terrain and building distribution from the GIS system. Then, according to the lighting standards of different road types, use spatial analysis algorithms to calculate the lighting requirement ranges for each section in different driving directions and positions, and digitally mark them in the system to provide an accurate range basis for subsequent street lamp control.

[0043] Preset a street lamp turning-on time. After obtaining the specific arrival time of the vehicle, turn on the street lamps within the preset street lamp turning-on time for the lighting range required by the current vehicle when driving on the current road type section, and turn them on by gradually increasing the brightness of the street lamps. Then, according to the driving speed of the vehicle, turn on the street lamps in the current road area one by one, ensuring that the lighting range of the street lamps is always within the required lighting range, and turn off the street lamps in the section after driving when it is determined that there are no subsequent vehicles. It should be noted that according to the actual traffic flow law and energy-saving requirements, preset the street lamp turning-on time. For example, during the night period with low traffic flow, the preset turning-on time can be set to 1 - 2 minutes before the vehicle arrives, which can not only ensure sufficient lighting for vehicle driving but also avoid waste of energy caused by the street lamps being on for a long time without vehicles. During the peak traffic period, considering the vehicle density and driving coherence, the preset turning-on time can be appropriately shortened to 30 seconds - 1 minute. This preset time is not fixed and the system will make dynamic adjustments according to the real-time traffic conditions and historical data. For example, during holidays or special events, when the traffic flow changes greatly, the system will automatically optimize the preset turning-on time according to the real-time monitoring data and prediction model. When the system detects that a vehicle is approaching the current section and determines its driving route, as described above, using information such as the vehicle's real-time speed, current position, and distance from the current section, calculate the specific arrival time of the vehicle through a mathematical model. Once the specific arrival time is calculated, if it is within the preset street lamp turning-on time range, the street lamp switch module immediately starts the street lamp turning-on program. During the turning-on process, use the method of gradually increasing the brightness of the street lamps to avoid instant stimulation to the driver's eyes caused by strong light. For example, first adjust the brightness of the street lamp to 30% and keep it for 5 - 10 seconds, then gradually increase the brightness to 100%, and control the entire brightness increase process within 15 - 20 seconds, so that the driver can naturally adapt to the light change and ensure driving safety; Furthermore, during the vehicle's driving process, its driving speed determines the dynamic change of the lighting range. The system monitors the vehicle's driving speed in real time and calculates the distance traveled by the vehicle per unit time according to the speed information. For example, when the vehicle speed is 60 kilometers per hour, that is, it travels about 16.7 meters per second. Based on this, the system calculates the positions of the street lamps that need to be turned on in sequence and the time intervals according to the pre-determined lighting range and street lamp spacing. Assuming the street lamp spacing is 30 meters and the lighting range is 15 meters on both sides of the lane, when the vehicle is driving at a speed of 60 kilometers per hour, the system controls to turn on a street lamp every about 2 seconds to ensure that there is always a suitable lighting range in front of the vehicle; Furthermore, to ensure that the lighting range of streetlights is always within the lighting range required by vehicles, the system uses vehicle positioning technology and the streetlight control network to track the vehicle's position in real time and dynamically adjust the on and off states of streetlights according to the vehicle's position. For example, when a vehicle decelerates or turns due to traffic congestion during driving, the system will immediately recalculate the lighting range and the streetlights that need to be turned on based on the vehicle's new position and speed to ensure that the lighting range always matches the vehicle's driving path and requirements. Through this precise real-time tracking control, over-illumination or insufficient lighting of streetlights is avoided, ensuring traffic safety and achieving efficient use of energy; The system determines whether there are vehicles driving subsequently by continuously monitoring traffic flow data, vehicle positioning information, and feedback from road sensors. On the one hand, it uses geomagnetic sensors and video detection cameras installed on the road to detect the vehicle passing conditions within a certain range in real time; on the other hand, it combines the vehicle driving trajectory data in the intelligent transportation system (ITS) to analyze whether there are vehicles driving towards the current section on the subsequent section. For example, within a certain period of time (such as 3 - 5 minutes), if the detection equipment does not detect any signs of vehicle movement on the subsequent section and there is no trajectory information of vehicles driving towards the current section in the ITS system, it is determined that there are no vehicles driving subsequently; Once it is determined that there are no vehicles driving subsequently, the streetlight switch module immediately sends a shutdown instruction to the streetlight power switch equipment within the section after driving. To avoid the impact of frequent switching on the lifespan of streetlights, the system will set a shortest on-time threshold, and only when the on-time of the streetlight exceeds this threshold will the shutdown operation be executed. For example, if the shortest on-time is set to 5 minutes, if the on-time of a certain section of streetlights is less than 5 minutes, even if there are no vehicles driving subsequently, it will not be turned off temporarily and will be turned off after reaching the shortest on-time. During the shutdown process, the same method of gradually dimming is also adopted. First, the brightness of the streetlight is reduced to 30%, lasting for 5 - 10 seconds, and then it is completely turned off to avoid the impact of sudden light-off on the surrounding environment and pedestrians.

[0044] Ensuring that the lighting range of streetlights is always within the required lighting range specifically means; determining whether there are obstacles within the lighting range of the streetlights; Calculate the illumination brightness after the current obstacle blocks the street lamp. It should be noted that the system calculates the illumination brightness after occlusion by means of a light sensor installed on the street lamp and a detection device for obstacles (such as lidar or an image recognition camera, used to identify and locate obstacles). The light sensor monitors the light intensity around the street lamp in real time, and the position, shape, height and other information of the obstacle are obtained through the detection device for obstacles. Using optical principles and mathematical models, combined with the initial illumination parameters of the street lamp (such as power, light-emitting angle, etc.), the illumination brightness actually projected onto the road surface after the obstacle blocks the light is calculated. For example, assuming that the initial power of the street lamp is 100W and the light-emitting angle is 120°, when a billboard with a height of 3 meters and a width of 2 meters is detected to block the street lamp, the proportion of the light blocked is calculated through the model, so as to obtain the actual illumination brightness of the current road surface; Specifically, the light sensor collects light intensity data at regular time intervals (such as every second or every 5 seconds) and transmits the data to the central processor of the intelligent street lamp management system. At the same time, the obstacle detection device also transmits the obtained obstacle information to the central processor in real time. The central processor integrates and analyzes these data, and uses complex algorithms to accurately calculate the illumination brightness after occlusion. During the calculation process, the influence of environmental factors (such as weather conditions, reflection of surrounding buildings, etc.) on light is also considered to correct the calculation results to ensure the accuracy of the illumination brightness calculation.

[0045] Compare the current illumination brightness with the target illumination brightness It should be noted that according to different road types and traffic scenarios, corresponding target illumination brightness standards are preset in advance. For example, on urban main roads, in order to meet the needs of high-speed vehicle driving and a large number of pedestrians passing by, the target illumination brightness may be set at 30-50 lux; while on the roads in residential areas, considering the sensitivity of residents to light during night rest, the target illumination brightness may be set at 15-25 lux. These target illumination brightness values are not fixed, and the system will make dynamic adjustments according to the actual situation (such as seasonal changes, special events, etc.); Furthermore, the intelligent street lamp management system compares the calculated current illumination brightness after occlusion with the target illumination brightness in real time. By simple numerical comparison, it is judged whether the current illumination brightness meets the target requirements. If the current illumination brightness is higher than or equal to the target illumination brightness, it means that the illumination situation is good and no additional regulation is required; if the current illumination brightness is lower than the target illumination brightness, further analysis and corresponding measures need to be taken.

[0046] Calculate whether increasing the current illumination brightness reaches the target illumination brightness A certain proportion; it should be noted that in order to more flexibly cope with different degrees of insufficient lighting, a proportional threshold for increasing the lighting brightness to reach the target illumination brightness is set, which can generally be set between 80% and 90%. The setting of this proportional threshold is based on a comprehensive consideration of road lighting requirements and energy consumption. If the proportion is set too low, it may not meet the basic lighting requirements and affect traffic safety; if the proportion is set too high, it may lead to energy waste and shortened street lamp life; After determining that the current lighting brightness is lower than the target illumination brightness, the system calculates the value that needs to be reached to increase the current lighting brightness, and then compares it with the target illumination brightness to obtain whether the set proportion is reached. For example, if the current lighting brightness is 10 lux, the target illumination brightness is 30 lux, and the set proportion is 80%, then it is necessary to calculate whether the increased lighting brightness can reach 24 lux (30×80%). If, after increasing the current street lamp brightness or taking other measures, this value can be reached or exceeded, it means that certain lighting requirements can be met; if it cannot be reached, further solutions need to be explored.

[0047] If not reached, determine whether it is possible to compensate the lighting range by increasing the power of adjacent street lamps; it should be noted that the system analyzes the road layout, street lamp distribution, and lighting range overlap to determine whether it is possible to compensate the lighting range of the blocked street lamp by increasing the power of adjacent street lamps. First, obtain the position information and current power status of adjacent street lamps, and use spatial analysis algorithms to calculate whether the expansion of the lighting range of adjacent street lamps after increasing the power can cover the lighting area of the blocked street lamp. At the same time, the impact of increasing the power of adjacent street lamps on the surrounding environment will also be considered, such as whether it will cause light pollution and whether it will affect the visual comfort of other road users. For example, on a straight road, the distance between adjacent street lamps is 30 meters. If a certain street lamp is blocked, judge whether the lighting of the blocked area can be effectively compensated by analyzing the lighting angle of adjacent street lamps and the expansion of the lighting range after increasing the power; A large amount of street lamp parameters and road information are stored in the database of the intelligent street lamp management system, providing data support for the compensation feasibility analysis. Through the analysis and simulation of these data, the system makes a decision on whether it is possible to compensate by increasing the power of adjacent street lamps. If the analysis result shows that effective compensation can be achieved, the system will initiate corresponding compensation measures; if effective compensation cannot be achieved, other solutions need to be taken.

[0048] If it can, compensate for the lighting range by increasing the power of adjacent streetlights, turn off the streetlights that are blocked, and lower the brightness of other adjacent streetlights. It should be noted that after determining that compensation can be achieved by increasing the power of adjacent streetlights, the streetlight brightness adjustment module sends instructions to the power adjustment device of adjacent streetlights to gradually increase their power. For example, increase the power of adjacent streetlights from 50W to 80W, and at the same time, precisely control the amplitude and speed of power increase according to the change in the lighting range and actual lighting requirements. While increasing the power of adjacent streetlights, the streetlight switch module sends a shutdown instruction to the power switch device of the blocked streetlight to stop its operation to avoid energy waste. In addition, to avoid overall over-illumination, appropriately lower the brightness of other adjacent streetlights that are not involved in the compensation. For example, reduce the brightness of these streetlights from 80% to 60%. In this way, while ensuring the lighting requirements in the blocked area, maintain the balance and energy conservation of the entire road lighting; During the execution of the compensation operation, the system continuously monitors the road lighting situation in real time through light sensors and other monitoring devices. Dynamically adjust the power of adjacent streetlights and the brightness of other streetlights according to the actual lighting effect. If it is found that the lighting is still insufficient or over-bright after compensation, the system will promptly adjust the power and brightness parameters to ensure that the road lighting is always in a suitable state.

[0049] If it cannot, first increase the currently blocked streetlight to its maximum power, and then determine whether the lighting range reaches a certain percentage of the target light intensity by increasing the power of adjacent streetlights and then considering the lighting range; When it is impossible to compensate for the lighting range by simply increasing the power of adjacent streetlights, the system first increases the power of the blocked streetlight to its maximum value. This is to make full use of the lighting ability of the blocked streetlight itself and increase the lighting brightness as much as possible. For example, increase a streetlight with an original power of 100W to its rated maximum power of 150W. In this way, to a certain extent, alleviate the problem of insufficient lighting; after increasing the power of the blocked streetlight to its maximum value, combine the method of increasing the power of adjacent streetlights again to calculate and evaluate the overall lighting range and brightness. The system uses the lighting brightness calculation model and comparative analysis method mentioned above to determine whether the lighting range can reach a certain percentage of the target light intensity after this series of operations. If the lighting requirements can be met in this way, the system will operate according to the adjusted power and brightness settings; if the requirements still cannot be met, more advanced countermeasures need to be taken.

[0050] If possible, increase the power of the corresponding streetlights for lighting. It should be noted that when it is determined through re-evaluation that a certain proportion of the target illumination brightness can be achieved by increasing the power of the corresponding streetlights (including increasing the blocked streetlights to the maximum power and appropriately increasing the power of adjacent streetlights), the system fixes these adjusted power settings to maintain road lighting. At the same time, continuously monitor the lighting situation in real-time through monitoring devices to ensure the stability of the lighting effect. For example, in a certain section of the road, after adjustment, the blocked streetlights are increased to the maximum power, and the power of the two adjacent streetlights is increased by 30% and 20% respectively, so that the lighting brightness in this area reaches 85% of the target illumination brightness, meeting the lighting requirements, and the system will maintain the power settings of these streetlights to ensure normal road lighting.

[0051] If not, send a warning notice to the vehicle owners and contact the relevant departments for solution. It should be noted that when all possible streetlight power adjustment measures have been taken and the lighting range still cannot reach a certain proportion of the target illumination brightness, it indicates that the current lighting problem is relatively serious and may affect driving safety. At this time, the intelligent streetlight management system sends a warning notice to the vehicle owners driving on this section of the road through docking with the vehicle intelligent interconnection system (such as the vehicle networking). The warning notice can be presented to the vehicle owners through the vehicle's display screen, voice prompt, etc., informing them that the lighting in the front section of the road is insufficient and they should pay attention to driving safety. At the same time, the system will also record relevant information, such as the specific location of the insufficient lighting, the type and general situation of the obstruction, etc., to provide a basis for subsequent processing.

[0052] As a further embodiment, the specific steps of sending a warning notice to the vehicle owners and contacting the relevant departments for solution are as follows: It includes broadcasting to the drivers driving to the current section of the road and sending corresponding first warning messages to each household. The content of the first warning message includes informing the current driver of the lighting situation of the driving section of the road and broadcasting to the drivers of the sections that will drive to the current section of the road and sending corresponding second warning messages every month. The content of the second warning message includes informing the current driver of the lighting situation of the driving section of the road and reminding to change the driving route; Specifically, by sending different warning messages to drivers in different driving situations, it is beneficial to enable drivers to take a better route to ensure safety.

[0053] The present invention also proposes a method for digital governance of cities based on digital twins. The method includes the following steps: S1: Obtain the road type data within the preset area. The road type data includes the main elevated road area, the expressway area, the arterial road, and the secondary arterial road, and obtain the road type data within the preset area; S2: Divide the road types within the preset area into different sub - range areas according to the road type data. After dividing the sub - range areas, count the number of street lights in each area and number them one by one; S3: Obtain the traffic flow volume in each sub - range area; S4: Combine the number of street lights and the environmental index information in the sub - range area to generate adjustment data, where the adjustment data includes the first data and the second data; S5: Adjust the lighting brightness of the street lights in the specified sub - range area based on the first data; S6: Control the on - off of the street lights in the specified sub - range area based on the second data.

[0054] The above are only the preferred embodiments of the present invention. The protection scope of the present invention is not limited to the above - mentioned embodiments. All technical solutions falling within the concept of the present invention belong to the protection scope of the present invention. It should be pointed out that for those of ordinary skill in the art, without departing from the principle of the present invention, several improvements and refinements should also be regarded as within the protection scope of this template.

Claims

1. The city digital governance system based on digital twins is characterized by: include: A road type statistics module, used to obtain road type data in a preset area, the road type data includes a main elevated road area, an expressway area, a main road, and a secondary road; The area division module, after obtaining the road type data in the preset area, divides the road type in the preset area into different sub-areas according to the road type data, and after dividing the sub-areas, counts the number of street lamps in each area and numbers them one by one; The vehicle flow density statistics module is used to obtain the number of vehicle flows in each sub-range area; The regional data analysis module generates adjustment data after obtaining the number of vehicle flows in each sub-range area and combining the number of street lamps and environmental index information in the sub-range area, wherein the adjustment data includes the first data and the second data; A street lamp brightness adjustment module, which adjusts the street lamp illumination brightness within a specified sub-range area based on the first data; A street light switch module, which controls the street light switches in a specified sub-range area based on the second data; An adaptive intelligent prediction module is used to predict the usage of street lighting in each sub-range area; The optimization feedback module is used to optimize the prediction results of the intelligent prediction module.

2. The digital twin-based urban digital governance system according to claim 1 is characterized in that: The specific method in which the regional data analysis module divides the road types in the preset area into different sub-areas according to the road type data is as follows: Predetermine the total length of roads in a region; Associating the connected roads within a preset road connection value range, and numbering them one by one after obtaining the total distance of the connected roads, wherein the road connection value is the longest distance between the preset connected road types; Divide each number into different sub-range areas.

3. The digital twin-based urban digital governance system according to claim 2 is characterized in that: The method of associating the connected roads within the preset road connection value range and numbering the connected roads one by one after obtaining the total distance of the connected roads also includes: Compare the total distance of connecting roads with the total length of regionally divided roads; If the total distance of the connected roads is greater than or equal to the preset total length of the regional division roads, the end point of the current road is used as the end point of the total length of the regional division roads, and the connected roads in the total distance area of ​​the extended connected roads are divided into a sub-range area; If the total distance of the connected roads is less than the preset total length of the regional dividing roads, the end point of the next road of the current road is used as the end point of the total length of the regional dividing roads, and the connected roads within the total distance area of ​​the extended connected roads are divided into a sub-range area.

4. The digital twin-based urban digital governance system according to claim 3 is characterized in that: The dividing each number into different sub-range areas also includes: Divide the total distance area of ​​the extended connecting road into different sections with equal distances; Determine the traffic volume within each road section; In the road range with low traffic volume, the street light brightness in the current road section is brightened by the street light brightness adjustment module; In the range of roads with heavy traffic, dimming the brightness of street lamps in the current road section through the street lamp brightness adjustment module; In the range of roads without traffic flow, the street lights in the current road section are turned off through the street light switch module.

5. The city digital governance system based on digital twin according to claim 4 is characterized in that: Before reducing the brightness of the street lamps in the current road section by the street lamp brightness adjustment module, the method further includes: Determine the basic parameters of street lamps within the current range, including the initial power of the street lamps, the luminous efficiency of the street lamps , number of street lights , measure and record the The distance from the street lamp to the measuring point ; Determine relevant parameters of the vehicle, wherein the relevant parameters of the vehicle include determining the average luminous flux of the vehicle light , count the vehicle flow N, and measure the average distance from the vehicle to the measurement point ; Determine the environment-related parameters, which include the current weather haze concentration C, and determine the weather condition coefficient according to the current weather conditions , haze attenuation coefficient , comprehensive attenuation coefficient , occlusion coefficient , road reflectivity R and target light brightness ; According to the formula Get the power that needs to be adjusted for the street lamp, where: Usually represents the initial physical quantity related to the i-th object or position, such as initial power, Generally represents the efficiency,coefficient of the ith object or process, represents the distance from the ith object or position to a reference point, represents some physical quantity related to a point source, A constant, usually used for correction and scaling, Indicates the brightness of the light produced by the vehicle light at that point. Indicates the gain of road surface reflection on light illumination.

6. The digital twin-based urban digital governance system according to claim 5 is characterized in that: Before turning off the street lights in the current road section by the street light switch module, the method includes: Obtain whether there are passing vehicles on other roads connected to the current road section; If the vehicle does not pass the current road section, the street lights of the current road section will remain turned off; If a vehicle passes through the current road section, the vehicle arrival time is calculated and the street lights are turned on in advance.

7. The digital twin-based urban digital governance system according to claim 6 is characterized in that: If a vehicle passes through the current road section, after calculating the vehicle arrival time, controlling the street light to turn on in advance includes: Determine the lighting range required for the current vehicle when traveling on different road types; A street light turn-on time is preset, and after the specific arrival time of the vehicle is obtained, the street lights in the lighting range required for the current vehicle to travel on the current road type section are turned on within the preset street light turn-on time, and the street lights are turned on by gradually brightening the street lights. Then, according to the driving speed of the vehicle, the street lights in the current road area are turned on one by one to ensure that the street light lighting range is always within the required lighting range, and the street lights in the road section after the travel are turned off when it is determined that there are no subsequent vehicles.

8. The digital twin-based urban digital governance system according to claim 7 is characterized in that: The method of ensuring that the lighting range of the street lamp is always within the required lighting range specifically includes: Determine whether there are any obstructions within the lighting range of the street lamp; Calculate the lighting brightness after the current obstruction blocks the street light; The current lighting brightness and the target light brightness Make a comparison; Calculate whether the current lighting brightness reaches the target light brightness a certain proportion of If it is not reached, determine whether the lighting range can be compensated by increasing the power of adjacent street lights; If it is possible, the lighting range will be compensated by increasing the power of adjacent street lamps, turning off the blocked street lamps, and lowering the brightness of other adjacent street lamps; If not, first increase the power of the currently blocked street lamp to the maximum, and then increase the power of the adjacent street lamps to determine whether the lighting range reaches the target and reaches the target light intensity. a certain proportion of If possible, lighting can be provided by increasing the power of corresponding street lamps; If not, a warning notification will be sent to the car owner and the relevant departments will be contacted for resolution.

9. The city digital governance system based on digital twin according to claim 8 is characterized in that: The specific steps of sending a warning notification to the car owner and contacting the relevant departments for resolution are as follows: It includes broadcasting to drivers traveling on the current road section and sending corresponding first warning information to each household. The first warning information includes informing the current driver of the lighting conditions of the road section and broadcasting to drivers who are about to travel on the current road section and sending corresponding second warning information every month. The second warning information includes informing the current driver of the lighting conditions of the road section and reminding him to change the driving route.

10. A digital twin-based urban digital governance method, applicable to a digital twin-based urban digital governance system according to any one of claims 1 to 9, characterized in that: The method comprises the following steps: S1: Obtain road type data within a preset area, wherein the road type data includes a main elevated road area, an expressway area, a main road, and a secondary road; S2: Divide the road types in the preset area into different sub-areas according to the road type data, and after dividing the sub-areas, count the number of street lamps in each area and number them one by one; S3: Obtain the number of vehicle flows in each sub-range area; S4: generating adjustment data in combination with the number of street lamps in the sub-range area and the environmental index information, wherein the adjustment data includes first data and second data; S5: adjusting the street lamp lighting brightness within the specified sub-range area based on the first data; S6: regulating the street light switches within the designated sub-range area based on the second data.

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