City management system and method based on digital technology

Abstract

The invention relates to the technical field of city management, and discloses a city management system based on a digital technology. The city management system based on the digital technology comprises a monitoring module, a data acquisition module, a data analysis module, a control regulation module and an early warning module, and can automatically regulate the working states of a valve and a pump according to real-time flow and pressure data by accurately calculating the pressure coefficient of a city pipeline, so that the drainage flow is optimized, and the working efficiency is improved. And when the pressure is too high, the pressure reducing device is automatically started, so that pipeline breakage or equipment damage is prevented, the parking space brightness of the urban parking lot is automatically adjusted, and in the process that the vehicle enters the parking space for parking or leaves the parking space, the control adjusting module directly increases the light brightness, so that a vehicle owner can quickly park the vehicle; or the exit of the parking lot can be quickly found, the energy loss can be reduced, the illumination of the parking lot is more comfortable, and the pavement damage and potential problems can be found as early as possible by calculating the pavement flatness.

Description

Technical Field

[0001] The present invention relates to the technical field of urban management, and in particular to an urban management system and method based on digital technology. Background Art

[0002] Urban management systems based on digital technology are systems that use modern information technology to optimize urban management and services. These systems help cities operate more efficiently and improve the quality of life of residents by integrating various data sources and technical means. Urban management systems are systems that comprehensively apply modern information technology, data analysis and intelligent devices to improve urban operating efficiency, service quality and residents' living standards.

[0003] The urban management system based on digital technology has significantly improved the efficiency and quality of urban management, improved the quality of life of citizens, and promoted the sustainable development of cities through its advantages in resource integration, accurate decision-making, and real-time response.

[0004] In the urban management system of digital technology, the lighting system has the problem of uneven lighting brightness in urban parking lots, which causes the parking lights to be too bright or too dim when the vehicles are parking, affecting parking safety. The smoothness of urban roads plays an important role in urban management. When vehicles are driving on uneven roads, the additional friction and vibration will increase fuel consumption, leading to increased emissions, which will impose a greater burden on the environment, reduce the road's capacity, and increase the risk of traffic congestion. By optimizing road conditions and intelligent lighting management, cities can improve traffic efficiency, safety and residents' satisfaction, while achieving energy-saving and environmental protection goals. Summary of the invention

[0005] 1. Technical issues to be solved

[0006] In view of the deficiencies in the prior art, the present invention provides a city management system and method based on digital technology, which are capable of comprehensively monitoring the city through monitoring equipment and sensors, ensuring that the entire system can obtain data in a timely manner, and use algorithm formulas to conduct in-depth analysis of the collected data, so as to predict potential risks. The control and regulation module can make corresponding adjustments in a timely manner after receiving the signal, and the early warning signal can reduce missed reports and false alarms, and can improve the accuracy of the early warning signal, thus solving the problems of uneven lighting brightness in urban parking lots and the burden on the environment caused by the flatness of urban roads.

[0007] (II) Technical solution

[0008] In order to realize the automatic adjustment of the parking space brightness during the parking process of the above-mentioned vehicle, and to detect road damage and potential problems and take timely maintenance measures, the present invention provides the following technical solutions: a city management system based on digital technology, including a monitoring module, a data acquisition module, a data analysis module, a control and adjustment module and an early warning module;

[0009] The monitoring module comprehensively monitors the city through monitoring equipment and sensors, and connects the monitoring equipment and sensors through a network, and the monitoring module sends monitoring information to the data acquisition module through the network;

[0010] The data acquisition module includes an urban infrastructure acquisition unit, an urban environment acquisition unit, an urban energy management acquisition unit and an urban parking management acquisition unit. The urban infrastructure acquisition unit collects the diameter, friction coefficient, pipe length, fluid density and water flow rate of the urban drainage pipe through a pressure sensor and a flow meter, and sends the data to the data analysis module. The urban environment acquisition unit collects the air quality index, air humidity and air temperature through a meteorological platform and a sensor, and sends the data to the data analysis module. The urban energy management acquisition unit collects the measured section length, road height and horizontal distance of the urban road surface through sensors and laser scanners, and sends the data to the data analysis module. The urban parking management acquisition unit collects the parking space target brightness, parking space adjustment coefficient, actual occupancy, real-time care, total number of parking spaces and irradiated area of ​​the urban parking lot by connecting cameras and sensors, and sends the data to the data analysis module;

[0011] The data analysis module calculates the pipeline pressure coefficient GDYLxs according to the diameter of the drainage pipe, the friction coefficient, the pipeline length, the fluid density and the water flow rate; the data analysis module calculates the urban air pollution index WRzs according to the air quality index, the air humidity and the air temperature; the data analysis module calculates the road surface smoothness coefficient PZxs according to the measured section length, the road surface height and the horizontal distance of the urban road surface; the data analysis module calculates the parking space lighting coefficient DGxs according to the parking space target brightness, the parking space adjustment coefficient, the actual occupancy, the real-time care, the total number of parking spaces and the irradiated area; the data analysis module compares the pipeline pressure coefficient GDYLxs, the urban air pollution index WRzs, the road surface smoothness coefficient PZxs and the parking space lighting coefficient DGxs with the corresponding standard indicators to determine whether an abnormality occurs, and the data analysis module sends the judgment result to the control and adjustment module or the early warning module;

[0012] The control and adjustment module is connected to the light adjustment device through the network to adjust the light brightness according to the comparison result of the parking space light coefficient DGxs and the standard index, and the control and adjustment module is connected to the valve through the network to adjust the pressure according to the comparison result of the pipeline pressure coefficient GDYLxs and the standard index;

[0013] When the early warning module receives the corresponding abnormal signal, the early warning module sends a corresponding early warning signal according to the corresponding abnormal signal.

[0014] Preferably, the urban infrastructure acquisition unit performs data numbering on the diameter, friction coefficient, pipe length, fluid density and water flow rate of the drainage pipe according to the characteristics of the urban infrastructure, and the diameter, friction coefficient, pipe length, fluid density and water flow rate of the drainage pipe are numbered as ZJ5, MC1, CD2, LT3 and SL4 respectively;

[0015] The pipeline pressure coefficient GDYLxs algorithm formula is as follows:

[0016]

[0017] In the formula, GDYLxs represents the pipeline pressure coefficient, Represents the ratio between the length and diameter of the drainage pipe. It represents the water flow value inside the drain pipe. The pipeline pressure coefficient GDYLxs is calculated based on the friction coefficient of the drain pipe multiplied by the ratio of the drain pipe length to the water flow value inside the drain pipe.

[0018] Preferably, the urban energy management collection unit performs data numbering on the measured section length, road height and horizontal distance of the urban road surface according to the urban energy management vital signs, and the measured section length, road height and horizontal distance of the road surface are numbered CL1, LM2 and SP3 respectively;

[0019] The road surface smoothness coefficient PZxs algorithm formula is as follows:

[0020]

[0021] In the formula, PZxs represents the road surface smoothness coefficient, L represents the total length of the road surface, Represents the overall length of the road surface, Represents the absolute value of the road slope, Represents the road surface roughness. The road surface smoothness coefficient PZxs is calculated by multiplying the road surface roughness by the overall length of the road surface.

[0022] Preferably, the urban environment collection unit numbers the air quality index, air humidity and air temperature according to the urban environment characteristics, and the air quality index, air humidity and air temperature are numbered KQ1, SD2 and WD3 respectively;

[0023] The urban air pollution index WRzs algorithm formula is as follows:

[0024] WRzs=0.5×KQ1+0.25×SD2+0.3×WD3

[0025] In the formula, 0.5 represents the weight for the air quality index, 0.25 represents the weight for the air humidity, and 0.3 represents the weight for the air temperature. The urban air pollution index WRzs is calculated based on the weighted air quality index plus the weighted air humidity plus the air temperature.

[0026] Preferably, the urban parking management collection unit numbers the parking space target brightness, parking space adjustment coefficient, actual occupancy, real-time care, total number of parking spaces and irradiation area according to the urban parking management, and the parking space target brightness, parking space adjustment coefficient, actual occupancy, real-time care, total number of parking spaces and irradiation area are numbered ld1, xs2, zy3, gz4, zs5, mj6 respectively;

[0027] The parking space lighting coefficient DGxs algorithm formula is as follows:

[0028]

[0029] In the formula, ld1-gz4 represents the required light intensity of the parking space. Represents the actual lighting intensity of the parking space. The parking space lighting coefficient DGxs is calculated by multiplying the required lighting intensity of the parking space by the actual lighting intensity of the parking space and the illuminated area of ​​the parking space.

[0030] Preferably, the data analysis module compares the pipeline pressure coefficient GDYLxs with the pipeline standard index. If the pipeline pressure coefficient GDYLxs is higher than the pipeline standard index, it means that the internal pressure of the drain pipe is too high, and a signal is sent to the control and regulation module for pressure reduction. If the pipeline pressure coefficient GDYLxs is lower than the pipeline standard index, it means that the internal pressure of the drain pipe is too low, and a signal is sent to the control and regulation module for pressure increase.

[0031] Preferably, the data analysis module compares the city air pollution index WRzs with the air standard index. If the city air pollution index WRzs is higher than the air standard index, it means that the city air pollution quality is high, and the data analysis module sends an air pollution index abnormal signal to the early warning module.

[0032] Preferably, the data analysis module compares the road surface smoothness coefficient PZxs with the road surface smoothness standard index. If the road surface smoothness coefficient PZxs is higher than the road surface smoothness standard index, it means that the current road surface is severely worn, and the data analysis module sends a road surface smoothness coefficient abnormal signal to the early warning module.

[0033] Preferably, the data analysis module compares the parking space lighting coefficient DGxs with the lighting brightness standard index. If the parking space lighting coefficient DGxs is higher than the lighting brightness standard index, it means that the current parking space brightness is too bright, and a signal is sent to the control and adjustment module to lower the brightness. If the parking space lighting coefficient DGxs is lower than the lighting brightness standard index, it means that the current parking space brightness is too low, and a signal is sent to the control and adjustment module to increase the brightness.

[0034] The urban management method based on digital technology includes the following steps:

[0035] Step 1: The monitoring module conducts comprehensive monitoring of the city through monitoring devices and sensors, connects the monitoring devices and sensors through the network, and sends the data to the data acquisition module through the network;

[0036] Step 2: The data collection module integrates the data collected by the urban infrastructure collection unit, the urban environment collection unit, the urban energy management collection unit and the urban parking management collection unit, and sends the data to the data analysis module;

[0037] Step 3: The data analysis module calculates the pipeline pressure coefficient GDYLxs, the urban air pollution index WRzs, the road surface smoothness coefficient PZxs and the parking space lighting coefficient DGxs according to the algorithm formula, and compares the pipeline pressure coefficient GDYLxs, the urban air pollution index WRzs, the road surface smoothness coefficient PZxs and the parking space lighting coefficient DGxs with the corresponding standard indicators to determine whether an abnormality occurs. The data analysis module sends the judgment result to the control and regulation module or the early warning module;

[0038] Step 4: If the parking space lighting coefficient DGxs is higher than the lighting brightness standard index, it means that the current parking space brightness is too bright, and a signal is sent to the control and adjustment module to lower the brightness; if the parking space lighting coefficient DGxs is lower than the lighting brightness standard index, it means that the current parking space brightness is too low, and a signal is sent to the control and adjustment module to increase the brightness;

[0039] Step 5: If the pipeline pressure coefficient GDYLxs is higher than the pipeline standard index, it means that the internal pressure of the drainage pipe is too high, and a signal is sent to the control and regulation module for pressure reduction; if the pipeline pressure coefficient GDYLxs is lower than the pipeline standard index, it means that the internal pressure of the drainage pipe is too low, and a signal is sent to the control and regulation module for pressure increase;

[0040] Step 6: If the road surface smoothness coefficient PZxs is higher than the road surface smoothness standard index, it means that the current road surface is seriously worn, and the data analysis module sends a road surface smoothness coefficient abnormal signal to the early warning module;

[0041] Step 7: If the city air pollution index WRzs is higher than the air standard index, it means that the city air pollution quality is high, and the data analysis module sends an air pollution index abnormal signal to the early warning module.

[0042] Compared with the prior art, the present invention provides a city management system and method based on digital technology, which has the following beneficial effects:

[0043] 1. The present invention conducts comprehensive monitoring of the city through monitoring equipment and sensors, ensuring that the entire system can obtain data in a timely manner, and uses algorithm formulas to conduct in-depth analysis of the collected data, so as to predict potential risks. The control and regulation module can make corresponding adjustments in time after receiving the signal, and the early warning signal can reduce missed reports and false alarms, and can improve the accuracy of the early warning signal, thereby achieving a good effect of improving the operation of the city.

[0044] 2. The present invention can automatically adjust the working status of valves and pumps according to real-time flow and pressure data by accurately calculating the pressure coefficient of urban pipelines, thereby optimizing the drainage flow. The system can monitor the pipeline pressure in real time and automatically start the pressure reducing device when the pressure is too high, thereby preventing the pipeline from rupturing or equipment damage. During the automatic adjustment of the system, the dependence on manual operation is reduced, the risk of human error is reduced, and the management of the drainage system is made more automated and intelligent. By calculating the parking space lighting coefficient, the brightness of the parking space in the urban parking lot is automatically adjusted. When the vehicle enters the parking space for parking or leaves the parking space, the control and adjustment module directly increases the light brightness, which is beneficial for the owner to park the vehicle quickly or find the parking lot exit quickly. When the vehicle is in the off state on the parking space, the parking space brightness can be reduced by the control and adjustment module, which can reduce energy loss while making the lighting of the parking lot more comfortable, achieving a good effect of sustainable resource utilization.

[0045] 3. By calculating the road surface smoothness coefficient, the present invention can detect road damage and potential problems as early as possible, take maintenance measures in time, and delay the aging of the road. It can also accurately identify areas that need repair, avoid excessive maintenance or inadequate maintenance, save unnecessary expenses, and effectively reduce traffic accidents caused by road surface problems. A smooth road surface is a reflection of the modernization of urban infrastructure, which helps to improve the overall image of the city and road safety, and achieves a good effect of improving the quality of urban life. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 It is a schematic diagram of the system flow of the present invention;

[0047] Figure 2 It is a schematic diagram of the steps of the method of the present invention. DETAILED DESCRIPTION

[0048] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0049] See also Figure 1 to Figure 2 , a city management system based on digital technology, including a monitoring module, a data acquisition module, a data analysis module, a control and regulation module and an early warning module;

[0050] The monitoring module conducts comprehensive monitoring of the city through monitoring equipment and sensors, and connects the monitoring equipment and sensors through the network. The monitoring module sends the monitoring information to the data acquisition module through the network;

[0051] The data acquisition module includes an urban infrastructure acquisition unit, an urban environment acquisition unit, an urban energy management acquisition unit and an urban parking management acquisition unit. The urban infrastructure acquisition unit collects the diameter, friction coefficient, pipe length, fluid density and water flow rate of the urban drainage pipe through pressure sensors and flow meters, and sends the data to the data analysis module. The urban environment acquisition unit collects the air quality index, air humidity and air temperature through the meteorological platform and sensors, and sends the data to the data analysis module. The urban energy management acquisition unit collects the measured section length, road height and horizontal distance of the urban road surface through sensors and laser scanners, and sends the data to the data analysis module. The urban parking management acquisition unit collects the parking space target brightness, parking space adjustment coefficient, actual occupancy, real-time care, total number of parking spaces and irradiated area of ​​the urban parking lot through connecting cameras and sensors, and sends the data to the data analysis module;

[0052] The urban infrastructure collection unit numbers the diameter, friction coefficient, pipe length, fluid density and water flow rate of the drainage pipe according to the characteristics of the urban infrastructure. The diameter, friction coefficient, pipe length, fluid density and water flow rate of the drainage pipe are numbered as ZJ5, MC1, CD2, LT3 and SL4 respectively;

[0053] The urban energy management collection unit numbers the measured section length, road height and horizontal distance of the urban road surface according to the urban energy management signs. The measured section length, road height and horizontal distance of the road surface are numbered as CL1, LM2 and SP3 respectively.

[0054] The urban environment collection unit numbers the air quality index, air humidity and air temperature according to the characteristics of the urban environment. The air quality index, air humidity and air temperature are numbered KQ1, SD2 and WD3 respectively.

[0055] The data analysis module calculates the pipe pressure coefficient GDYLxs according to the diameter of the drainage pipe, the friction coefficient, the pipe length, the fluid density and the water flow rate. The data analysis module calculates the urban air pollution index WRzs according to the air quality index, the air humidity and the air temperature. The data analysis module calculates the road surface smoothness coefficient PZxs according to the measured section length, the road surface height and the horizontal distance of the urban road surface. The data analysis module calculates the parking space lighting coefficient DGxs according to the parking space target brightness, the parking space adjustment coefficient, the actual occupancy, the real-time care, the total number of parking spaces and the irradiated area.

[0056] The algorithm formula of pipeline pressure coefficient GDYLxs is as follows:

[0057]

[0058] In the formula, GDYLxs represents the pipeline pressure coefficient, Represents the ratio between the length and diameter of the drainage pipe. Represents the water flow value inside the drain pipe. The pipe pressure coefficient GDYLxs is calculated based on the friction coefficient of the drain pipe multiplied by the ratio of the drain pipe length to the water flow value inside the drain pipe.

[0059] The algorithm formula of the road surface smoothness coefficient PZxs is as follows:

[0060]

[0061] In the formula, PZxs represents the road surface smoothness coefficient, L represents the total length of the road surface, Represents the overall length of the road surface, Represents the absolute value of the road slope, Represents the road surface roughness, and the road surface smoothness coefficient PZxs is calculated by multiplying the road surface roughness by the overall length of the road surface;

[0062] The urban air pollution index WRzs algorithm formula is as follows:

[0063] WRzs=0.5×KQ1+0.25×SD2+0.3×WD3

[0064] In the formula, 0.5 represents the weight for the air quality index, 0.25 represents the weight for the air humidity, and 0.3 represents the weight for the air temperature. The urban air pollution index WRzs is calculated based on the weighted air quality index plus the weighted air humidity plus the air temperature.

[0065] The parking space lighting coefficient DGxs algorithm formula is as follows:

[0066]

[0067] In the formula, ld1-gz4 represents the required light intensity of the parking space. Represents the actual lighting intensity of the parking space. The parking space lighting coefficient DGxs is calculated by multiplying the required lighting intensity of the parking space by the actual lighting intensity of the parking space and the illuminated area of ​​the parking space.

[0068] The data analysis module compares the pipeline pressure coefficient GDYLxs, the urban air pollution index WRzs, the road surface smoothness coefficient PZxs and the parking space lighting coefficient DGxs with the corresponding standard indicators to determine whether an abnormality occurs. The data analysis module sends the judgment result to the control and regulation module or the early warning module;

[0069] If the pipeline pressure coefficient GDYLxs is higher than the pipeline standard index, it means that the internal pressure of the drainage pipe is too high, and a signal is sent to the control and regulation module for pressure reduction. If the pipeline pressure coefficient GDYLxs is lower than the pipeline standard index, it means that the internal pressure of the drainage pipe is too low, and a signal is sent to the control and regulation module for pressure increase.

[0070] Pressure control can ensure that the water flow in the drainage network is kept within the optimal range, avoiding insufficient or excessive flow caused by uneven pressure, thereby improving the overall drainage efficiency of the system. By effectively controlling the pressure, the risk of sewage overflow and environmental pollution is reduced, and the sanitation level of the urban environment is improved. At the same time, collecting and analyzing pressure data can help city managers understand the system operation status, optimize the design and maintenance strategy of the drainage network, and help keep the city clean and beautiful.

[0071] If the city air pollution index WRzs is higher than the air standard index, it means that the city air pollution quality is high, and the data analysis module sends an air pollution index abnormal signal to the early warning module;

[0072] Air quality testing can promptly detect sudden deterioration of air quality, activate the early warning system, and remind residents to take protective measures. In the case of serious air pollution, it can provide timely data support to help formulate and implement emergency response measures, such as temporarily shutting down pollution sources or issuing health warnings. By monitoring and controlling air pollution, it can reduce the negative impact on the ecosystem and environment and promote the sustainable development of cities.

[0073] If the road surface smoothness coefficient PZxs is higher than the road surface smoothness standard index, it means that the current road surface is seriously worn, and the data analysis module sends a road surface smoothness coefficient abnormal signal to the early warning module;

[0074] The smoothness detection of urban roads has significant benefits. It not only improves driving comfort and road safety, but also helps to extend the service life of roads, save maintenance costs, optimize maintenance strategies, reduce environmental impacts, enhance the city's image, and indirectly support economic development. Therefore, road surface smoothness detection is an indispensable part of urban road management;

[0075] If the parking space lighting coefficient DGxs is higher than the standard lighting brightness index, it means that the current parking space brightness is too bright, and a signal is sent to the control and adjustment module to lower the brightness. If the parking space lighting coefficient DGxs is lower than the standard lighting brightness index, it means that the current parking space brightness is too low, and a signal is sent to the control and adjustment module to increase the brightness.

[0076] Automatically adjust the light brightness according to changes in ambient light to avoid wasting electricity when there is sufficient light, thereby significantly reducing energy consumption and electricity bills. Automatically adjusting the light brightness can avoid visual discomfort caused by too strong or too weak light, making the lighting in the parking lot more comfortable and improving the user's parking experience. At the same time, it realizes intelligent control and management, effectively improving the operational efficiency of the parking lot.

[0077] The urban management method based on digital technology includes the following steps:

[0078] Step 1: The monitoring module conducts comprehensive monitoring of the city through monitoring devices and sensors, connects the monitoring devices and sensors through the network, and sends the data to the data acquisition module through the network;

[0079] Step 2: The data collection module integrates the data collected by the urban infrastructure collection unit, the urban environment collection unit, the urban energy management collection unit and the urban parking management collection unit, and sends the data to the data analysis module;

[0080] Step 3: The data analysis module calculates the pipeline pressure coefficient GDYLxs, the urban air pollution index WRzs, the road surface smoothness coefficient PZxs and the parking space lighting coefficient DGxs according to the algorithm formula, and compares the pipeline pressure coefficient GDYLxs, the urban air pollution index WRzs, the road surface smoothness coefficient PZxs and the parking space lighting coefficient DGxs with the corresponding standard indicators to determine whether an abnormality occurs. The data analysis module sends the judgment result to the control and regulation module or the early warning module;

[0081] Step 4: If the parking space lighting coefficient DGxs is higher than the lighting brightness standard index, it means that the current parking space brightness is too bright, and a signal is sent to the control and adjustment module to lower the brightness; if the parking space lighting coefficient DGxs is lower than the lighting brightness standard index, it means that the current parking space brightness is too low, and a signal is sent to the control and adjustment module to increase the brightness;

[0082] Step 5: If the pipeline pressure coefficient GDYLxs is higher than the pipeline standard index, it means that the internal pressure of the drainage pipe is too high, and a signal is sent to the control and regulation module for pressure reduction; if the pipeline pressure coefficient GDYLxs is lower than the pipeline standard index, it means that the internal pressure of the drainage pipe is too low, and a signal is sent to the control and regulation module for pressure increase;

[0083] Step 6: If the road surface smoothness coefficient PZxs is higher than the road surface smoothness standard index, it means that the current road surface is seriously worn, and the data analysis module sends a road surface smoothness coefficient abnormal signal to the early warning module;

[0084] Step 7: If the city air pollution index WRzs is higher than the air standard index, it means that the city air pollution quality is high, and the data analysis module sends an air pollution index abnormal signal to the early warning module.

[0085] Comprehensive monitoring of the city through monitoring equipment and sensors ensures that the entire system can obtain data in a timely manner. The collected data is analyzed in depth using algorithm formulas to predict potential risks. The control and regulation module can make corresponding adjustments in a timely manner after receiving the signal, and the early warning signal can reduce missed reports and false alarms, and can improve the accuracy of the early warning signal.

[0086] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A city management system based on digital technology, characterized by: It includes monitoring module, data acquisition module, data analysis module, control and regulation module and early warning module; The monitoring module comprehensively monitors the city through monitoring equipment and sensors, and connects the monitoring equipment and sensors through a network, and the monitoring module sends monitoring information to the data acquisition module through the network; The data acquisition module includes an urban infrastructure acquisition unit, an urban environment acquisition unit, an urban energy management acquisition unit and an urban parking management acquisition unit. The urban infrastructure acquisition unit collects the diameter, friction coefficient, pipe length, fluid density and water flow rate of the urban drainage pipe through a pressure sensor and a flow meter, and sends the data to the data analysis module. The urban environment acquisition unit collects the air quality index, air humidity and air temperature through a meteorological platform and a sensor, and sends the data to the data analysis module. The urban energy management acquisition unit collects the measured section length, road height and horizontal distance of the urban road surface through sensors and laser scanners, and sends the data to the data analysis module. The urban parking management acquisition unit collects the parking space target brightness, parking space adjustment coefficient, actual occupancy, real-time care, total number of parking spaces and irradiated area of ​​the urban parking lot by connecting cameras and sensors, and sends the data to the data analysis module; The data analysis module calculates the pipeline pressure coefficient GDYLxs according to the diameter of the drainage pipe, the friction coefficient, the pipeline length, the fluid density and the water flow rate; the data analysis module calculates the urban air pollution index WRzs according to the air quality index, the air humidity and the air temperature; the data analysis module calculates the road surface smoothness coefficient PZxs according to the measured section length, the road surface height and the horizontal distance of the urban road surface; the data analysis module calculates the parking space lighting coefficient DGxs according to the parking space target brightness, the parking space adjustment coefficient, the actual occupancy, the real-time care, the total number of parking spaces and the irradiated area; the data analysis module compares the pipeline pressure coefficient GDYLxs, the urban air pollution index WRzs, the road surface smoothness coefficient PZxs and the parking space lighting coefficient DGxs with the corresponding standard indicators to determine whether an abnormality occurs, and the data analysis module sends the judgment result to the control and adjustment module or the early warning module; The control and adjustment module is connected to the light adjustment device through the network to adjust the light brightness according to the comparison result of the parking space light coefficient DGxs and the standard index, and the control and adjustment module is connected to the valve through the network to adjust the pressure according to the comparison result of the pipeline pressure coefficient GDYLxs and the standard index; When the early warning module receives the corresponding abnormal signal, the early warning module sends a corresponding early warning signal according to the corresponding abnormal signal.

2. The city management system based on digital technology according to claim 1, characterized in that: The urban infrastructure acquisition unit numbers the diameter, friction coefficient, pipe length, fluid density and water flow rate of the drainage pipe according to the characteristics of the urban infrastructure. The diameter, friction coefficient, pipe length, fluid density and water flow rate of the drainage pipe are numbered as ZJ5, MC1, CD2, LT3 and SL4 respectively. The pipeline pressure coefficient GDYLxs algorithm formula is as follows: In the formula, GDYLxs represents the pipeline pressure coefficient, Represents the ratio between the length and diameter of the drainage pipe. It represents the water flow value inside the drain pipe. The pipeline pressure coefficient GDYLxs is calculated based on the friction coefficient of the drain pipe multiplied by the ratio of the drain pipe length to the water flow value inside the drain pipe.

3. The city management system based on digital technology according to claim 2 is characterized in that: The urban energy management collection unit performs data numbering on the measured section length, road height and horizontal distance of the urban road surface according to the urban energy management vital signs, and the measured section length, road height and horizontal distance of the road surface are numbered CL1, LM2 and SP3 respectively; The road surface smoothness coefficient PZxs algorithm formula is as follows: In the formula, PZxs represents the road surface smoothness coefficient, L represents the total length of the road surface, Represents the overall length of the road surface, Represents the absolute value of the road slope, Represents the road surface roughness, and the road surface smoothness coefficient PZxs is calculated by multiplying the road surface roughness by the overall length of the road surface.

4. The city management system based on digital technology according to claim 3 is characterized by: The urban environment collection unit numbers the air quality index, air humidity and air temperature according to the urban environment characteristics, and the air quality index, air humidity and air temperature are numbered KQ1, SD2 and WD3 respectively; The urban air pollution index WRzs algorithm formula is as follows: WRzs=0.5×KQ1+0.25×SD2+0.3×WD3 In the formula, 0.5 represents the weight for the air quality index, 0.25 represents the weight for the air humidity, and 0.3 represents the weight for the air temperature. The urban air pollution index WRzs is calculated based on the weighted air quality index plus the weighted air humidity plus the air temperature.

5. The city management system based on digital technology according to claim 4 is characterized in that: The urban parking management acquisition unit numbers the parking space target brightness, parking space adjustment coefficient, actual occupancy, real-time care, total number of parking spaces and irradiation area according to the urban parking management, and the parking space target brightness, parking space adjustment coefficient, actual occupancy, real-time care, total number of parking spaces and irradiation area are numbered ld1, xs2, zy3, gz4, zs5, mj6 respectively; The parking space lighting coefficient DGxs algorithm formula is as follows: In the formula, ld1-gz4 represents the required light intensity of the parking space. Represents the actual lighting intensity of the parking space. The parking space lighting coefficient DGxs is calculated by multiplying the required lighting intensity of the parking space by the actual lighting intensity of the parking space and the illuminated area of ​​the parking space.

6. The city management system based on digital technology according to claim 5 is characterized by: The data analysis module compares the pipeline pressure coefficient GDYLxs with the pipeline standard index. If the pipeline pressure coefficient GDYLxs is higher than the pipeline standard index, it means that the internal pressure of the drainage pipe is too high, and a signal is sent to the control and regulation module for pressure reduction. If the pipeline pressure coefficient GDYLxs is lower than the pipeline standard index, it means that the internal pressure of the drainage pipe is too low, and a signal is sent to the control and regulation module for pressure increase.

7. The city management system based on digital technology according to claim 6 is characterized by: The data analysis module compares the city air pollution index WRzs with the air standard index. If the city air pollution index WRzs is higher than the air standard index, it means that the city air pollution quality is high. The data analysis module sends an air pollution index abnormal signal to the early warning module.

8. The city management system based on digital technology according to claim 7 is characterized by: The data analysis module compares the road surface smoothness coefficient PZxs with the road surface smoothness standard index. If the road surface smoothness coefficient PZxs is higher than the road surface smoothness standard index, it means that the current road surface is severely worn. The data analysis module sends an abnormal road surface smoothness coefficient signal to the early warning module.

9. The city management system based on digital technology according to claim 8, characterized in that: The data analysis module compares the parking space lighting coefficient DGxs with the lighting brightness standard index. If the parking space lighting coefficient DGxs is higher than the lighting brightness standard index, it means that the current parking space brightness is too bright, and a signal is sent to the control and adjustment module to lower the brightness. If the parking space lighting coefficient DGxs is lower than the lighting brightness standard index, it means that the current parking space brightness is too low, and a signal is sent to the control and adjustment module to increase the brightness.

10. A city management method based on digital technology, applied to the city management system based on digital technology as claimed in claims 1 to 9, characterized in that: The following steps are involved: Step 1: The monitoring module conducts comprehensive monitoring of the city through monitoring devices and sensors, connects the monitoring devices and sensors through the network, and sends the data to the data acquisition module through the network; Step 2: The data collection module integrates the data collected by the urban infrastructure collection unit, the urban environment collection unit, the urban energy management collection unit and the urban parking management collection unit, and sends the data to the data analysis module; Step 3: The data analysis module calculates the pipeline pressure coefficient GDYLxs, the urban air pollution index WRxs, the road surface smoothness coefficient PZxs and the parking space lighting coefficient DGxs according to the algorithm formula, and compares the pipeline pressure coefficient GDYLxs, the urban air pollution index WRzs, the road surface smoothness coefficient PZxs and the parking space lighting coefficient DGxs with the corresponding standard indicators to determine whether an abnormality occurs. The data analysis module sends the judgment result to the control and regulation module or the early warning module; Step 4: If the parking space lighting coefficient DGxs is higher than the lighting brightness standard index, it means that the current parking space brightness is too bright, and a signal is sent to the control and adjustment module to lower the brightness; if the parking space lighting coefficient DGxs is lower than the lighting brightness standard index, it means that the current parking space brightness is too low, and a signal is sent to the control and adjustment module to increase the brightness; Step 5: If the pipeline pressure coefficient GDYLxs is higher than the pipeline standard index, it means that the internal pressure of the drainage pipe is too high, and a signal is sent to the control and regulation module for pressure reduction; if the pipeline pressure coefficient GDYLxs is lower than the pipeline standard index, it means that the internal pressure of the drainage pipe is too low, and a signal is sent to the control and regulation module for pressure increase; Step 6: If the road surface smoothness coefficient PZxs is higher than the road surface smoothness standard index, it means that the current road surface is seriously worn, and the data analysis module sends a road surface smoothness coefficient abnormal signal to the early warning module; Step 7: If the city air pollution index WRzs is higher than the air standard index, it means that the city air pollution quality is high, and the data analysis module sends an air pollution index abnormal signal to the early warning module.

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