Operation and maintenance management system and method for smart city
Through the smart city operation and maintenance management system, combined with urban precipitation observation points and pipeline data, the theoretical maximum drainage and drainage capacity of urban sub-regions are analyzed, and the problem of difficulty in accurately warning of water accumulation in the existing technology is solved, and accurate warning and timely dispatch of urban areas are achieved.
Patent Information
- Application Number
- CN202510482988.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-17
- Publication Date
- 2025-08-08
AI Technical Summary
The existing technology fails to effectively analyze the real-time precipitation intensity of urban drainage systems, making it difficult to achieve accurate early warning and timely dispatch of water accumulation risks in extreme rainfall events.
The smart city operation and maintenance management system is adopted, and through the information collection module, drainage analysis module, abnormal analysis module, water accumulation analysis module and real-time monitoring module, combined with urban precipitation observation point data and pipeline data, the theoretical maximum drainage and drainage capacity of urban sub-regions are analyzed to achieve accurate warning of water accumulation risks in urban areas.
Accurate early warning and timely dispatch of water accumulation risks in different areas of the city, and improve the management efficiency and emergency response capabilities of the urban drainage system.
Smart Images

Figure CN120450418A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the field of smart city management technology, and specifically relates to an operation and maintenance management system and method for a smart city. Background Art
[0002] Smart city operations and maintenance refers to a comprehensive management system that leverages modern information technologies such as the Internet of Things, big data, cloud computing, and artificial intelligence to conduct real-time monitoring, data collection, intelligent analysis, and dynamic scheduling of urban infrastructure and public services, thereby ensuring safe, convenient, and efficient urban operations. Through cross-departmental and cross-system information integration and coordinated scheduling, this system not only provides timely warnings and resolutions of anomalies in urban operations, but also continuously optimizes resource allocation, improving the quality of urban services and residents' living experience.
[0003] Existing technologies only calculate theoretical drainage capacity based on pipeline design parameters, failing to account for potential capacity degradation due to pipe blockage, aging, or other factors. Furthermore, existing technologies often separate precipitation and drainage data, lacking analysis of real-time precipitation intensity. This makes it difficult to accurately predict and promptly manage waterlogging risks during extreme rainfall events. To this end, the present invention proposes an operation and maintenance management system and method for a smart city. Summary of the Invention
[0004] In view of the shortcomings of the existing technology, the purpose of the present invention is to provide an operation and maintenance management system and method for smart cities.
[0005] The technical problems to be solved by the present invention are: How to achieve accurate early warning of waterlogging risks in different areas of the city.
[0006] In order to achieve the above object, the present invention adopts the following technical solutions: First, a smart city operation and maintenance management system includes an information collection module, a drainage analysis module, an anomaly analysis module, a waterlogging analysis module, a real-time monitoring module, and a database module. The information collection module is used to collect the coordinates of precipitation observation points in the city and the city's pipeline data, and send the pipeline data to the drainage analysis module; the drainage analysis module is used to analyze the theoretical maximum drainage volume of urban sub-regions in the city, obtain the corresponding theoretical maximum drainage volume of the urban sub-region, and send it to the anomaly analysis module and the waterlogging analysis module; The database module is used to store the daily precipitation of all precipitation observation points in different urban sub-regions and the daily maximum drainage of the urban sub-regions; the abnormal analysis module is used to analyze the abnormal conditions of the drainage system in the urban sub-regions, analyze and obtain the historical maximum drainage and drainage capacity values of the urban sub-regions and send them to the water accumulation analysis module; The database module is also used to store historical precipitation data of urban sub-areas; the water accumulation analysis module is used to analyze the area type of the urban sub-area, obtain the area type of the urban sub-area through analysis and send it to the real-time monitoring module; the information collection module is also used to collect the area, real-time precipitation intensity and real-time monitoring data of the urban sub-area and send them to the real-time monitoring module; the real-time monitoring module is used to monitor the water accumulation situation in the urban sub-area.
[0007] Furthermore, the pipe data includes the pipe length, pipe inner diameter, Manning roughness, cross-sectional area and hydraulic radius of the drainage pipe.
[0008] Furthermore, the analysis process of the drainage analysis module includes: The city is divided into regions based on the precipitation observation points in the city to obtain urban sub-regions; Subtract the front end height from the rear end height of the drainage pipe to obtain the height difference of the drainage pipe, and divide the height difference of the drainage pipe by the pipe length to calculate the pipe slope; Obtain the inner diameter, Manning roughness, cross-sectional area, and hydraulic radius of the drainage pipe in the pipe data, and calculate the drainage volume of the drainage pipe; wherein the drainage pipe includes primary drainage pipes, intermediate drainage pipes, and advanced drainage pipes, the number of primary drainage pipes is greater than the number of intermediate drainage pipes, the number of intermediate drainage pipes is greater than the number of advanced drainage pipes, the inner diameter of the primary drainage pipe is smaller than the inner diameter of the intermediate drainage pipe, and the inner diameter of the intermediate drainage pipe is smaller than the inner diameter of the advanced drainage pipe; The drainage volume of all primary drainage pipes in any urban sub-region is added together to calculate the total drainage volume of primary pipes. The total drainage volume of intermediate pipes and the total drainage volume of advanced pipes in the corresponding urban sub-region are also calculated. If the total drainage volume of primary pipes in an urban sub-region is greater than the total drainage volume of intermediate pipes, the total drainage volume of primary pipes is compared with the total drainage volume of advanced pipes. When the total drainage volume of primary pipes is greater than the total drainage volume of advanced pipes, the total drainage volume of primary pipes is recorded as the theoretical maximum drainage volume of the corresponding urban sub-region. When the total drainage volume of primary pipes is less than or equal to the total drainage volume of advanced pipes, the total drainage volume of advanced pipes is recorded as the theoretical maximum drainage volume of the corresponding urban sub-region. The unit of the theoretical maximum drainage volume is cubic meters per second. If the total drainage volume of primary pipelines in a city sub-region is less than or equal to the total drainage volume of intermediate pipelines, the total drainage volume of intermediate pipelines is compared with the total drainage volume of advanced pipelines. If the total drainage volume of intermediate pipelines is greater than the total drainage volume of advanced pipelines, the total drainage volume of intermediate pipelines is recorded as the theoretical maximum drainage volume of the corresponding city sub-region. If the total drainage volume of intermediate pipelines is less than or equal to the total drainage volume of advanced pipelines, the total drainage volume of advanced pipelines is recorded as the theoretical maximum drainage volume of the corresponding city sub-region. Obtain the theoretical maximum drainage capacity of all urban sub-areas one by one.
[0009] Furthermore, the process of obtaining the urban sub-region is as follows: Obtain the coordinates of the precipitation observation point in the city, and construct a circular area with the precipitation observation point as the center and a fixed length as the radius. The circular area is recorded as the precipitation observation area. If the overlapping area of adjacent precipitation observation areas is greater than or equal to the area threshold, the corresponding precipitation observation areas are determined to belong to the same urban sub-area. If the overlapping area of adjacent precipitation observation areas is less than the area threshold, or there is no overlapping part between adjacent precipitation observation areas, the corresponding precipitation observation areas are determined not to belong to the same urban sub-area. In this way, the urban sub-area of the city is constructed.
[0010] Furthermore, the analysis process of the abnormality analysis module includes: Obtain the daily precipitation at any precipitation observation point within the urban sub-area, filter the daily precipitation, and find the dates with daily precipitation greater than or equal to the precipitation threshold, and record them as abnormal precipitation dates; Then, the maximum daily discharge of the urban sub-region on the day of abnormal precipitation is obtained, and the corresponding maximum daily discharge is recorded as the historical maximum discharge of the urban sub-region; Divide the historical maximum drainage volume of the urban sub-region by the theoretical maximum drainage volume to calculate the drainage capacity value of the urban sub-region, and then calculate the drainage capacity values of all urban sub-regions; If the drainage capacity value of the urban sub-region is greater than the capacity threshold, no action is taken; If the drainage capacity value of the urban sub-region is less than or equal to the capacity threshold, the drainage system of the urban sub-region is maintained.
[0011] Furthermore, the historical precipitation data of the urban sub-area includes: the start time node and the stop time node of the precipitation corresponding to the historical maximum precipitation, and the maximum drainage time node when the drainage system's drainage reaches the historical maximum drainage.
[0012] Furthermore, the analysis process of the water accumulation analysis module is as follows: Subtract the stop time node from the start time node to obtain the duration of precipitation, and then obtain the theoretical maximum drainage volume of the urban sub-area and calculate the theoretical total drainage volume of the urban sub-area; Obtain the historical maximum drainage volume of the urban sub-area and calculate the actual total drainage volume of the urban sub-area; Subtract the theoretical total drainage volume from the actual total drainage volume to obtain the drainage gap volume of the urban sub-region, and then calculate the drainage gap index of the urban sub-region; When the drainage gap index of the urban sub-region is zero, no operation is performed; when the drainage gap index of the urban sub-region is greater than zero, the process proceeds to the next step.
[0013] Furthermore, the analysis process of the water accumulation analysis module also includes: Obtain the starting time node of the historical maximum precipitation and the maximum drainage time node when the drainage system in the urban sub-area reaches the historical maximum drainage amount. Subtract the maximum drainage time node from the starting time node to obtain the real-time drainage time difference of the drainage system. Then, the standard drainage time difference of the drainage system in the urban sub-region is obtained. When the real-time drainage time difference is greater than the standard drainage time difference, the corresponding urban sub-region is determined to be a waterlogged area. When the real-time drainage time difference is less than or equal to the standard drainage time difference, the drainage capacity value of the urban sub-area is obtained, and the waterlogging risk index of the urban sub-area is calculated; when the waterlogging risk index of the urban sub-area is less than the first risk index threshold, the area type of the urban sub-area is determined to be a non-waterlogging area; when the waterlogging risk index of the urban sub-area is less than the second risk index threshold and greater than or equal to the first risk index threshold, the area type of the urban sub-area is determined to be a suspected waterlogging area; when the waterlogging risk index of the urban sub-area is greater than the second risk index threshold, the area type of the urban sub-area is determined to be a waterlogging area; According to the above process, the regional types of all urban sub-regions are obtained.
[0014] Furthermore, the working process of the real-time monitoring module is specifically as follows: Obtain the regional area and real-time precipitation intensity of the urban sub-region and calculate the regional precipitation flow of the urban sub-region; When the regional precipitation flow of the urban sub-region is less than the theoretical maximum discharge, no operation is performed; When the regional precipitation flow of the urban sub-region is greater than or equal to the theoretical maximum discharge, proceed to the next step; If the current urban sub-region is a suspected waterlogging area, obtain real-time monitoring data of the urban sub-region; when it is detected that there is waterlogging in the suspected waterlogging area and the waterlogging area is greater than the area threshold, determine that the corresponding urban sub-region is a waterlogging area; when it is detected that there is waterlogging in the suspected waterlogging area and the waterlogging area is less than or equal to the area threshold, or there is no waterlogging in the suspected waterlogging area, no operation is performed; If the current urban sub-region is a waterlogged area, obtain the non-waterlogged area with the shortest distance from the waterlogged area, and transport the accumulated water in the waterlogged area to the non-waterlogged area.
[0015] The second aspect is the operation and maintenance management methods of smart cities, which include: Step S10, collecting the coordinates of precipitation observation points in the city and the city's pipeline data, and analyzing the theoretical maximum drainage volume of the urban sub-areas in the city based on the pipeline data to obtain the theoretical maximum drainage volume corresponding to the urban sub-areas; Step S20, using the daily precipitation at all precipitation observation points in the urban sub-region and the daily maximum drainage volume of the urban sub-region, analyze the abnormality of the drainage system in the urban sub-region, and obtain the historical maximum drainage volume and drainage capacity value of the urban sub-region; Step S30, analyzing the regional type of the urban sub-region in combination with historical precipitation data to obtain the regional type of the urban sub-region; Step S40: monitoring the waterlogging situation in the urban sub-region based on the collected area, real-time precipitation intensity and real-time monitoring data of the urban sub-region.
[0016] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are: 1. The present invention first collects the coordinates of precipitation observation points in the city and the city's pipeline data, and analyzes the theoretical maximum drainage volume of urban sub-regions in the city based on the pipeline data to obtain the theoretical maximum drainage volume corresponding to the urban sub-region. At the same time, the daily precipitation data of all precipitation observation points in the urban sub-region and the daily maximum drainage volume of the urban sub-region are used to analyze the abnormal conditions of the drainage system in the urban sub-region, and the historical maximum drainage volume and drainage capacity value of the urban sub-region are obtained by analysis. 2. The present invention analyzes the regional types of urban sub-regions in combination with historical precipitation data to obtain the regional types of urban sub-regions. At the same time, the waterlogging situation in the urban sub-regions is monitored based on the collected regional area, real-time precipitation intensity and real-time monitoring data of the urban sub-regions, thereby realizing accurate early warning of waterlogging risks in different areas of the city. BRIEF DESCRIPTION OF THE DRAWINGS
[0017] To facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.
[0018] Figure 1 is a block diagram of the overall system of the present invention; Figure 2 This is an example diagram of the front end height and rear end height of the drainage pipe in the present invention; Figure 3 This is an example diagram for constructing urban sub-regions in the present invention; Figure 4 This is an example diagram of the urban drainage system in the present invention; Figure 5 Flow chart of the method of the present invention. DETAILED DESCRIPTION
[0019] The technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.
[0020] Example 1, please refer to Figures 1-4 As shown, the technical solution provided by the present invention is: an operation and maintenance management system for a smart city, which is used to analyze and manage areas in the city that are prone to waterlogging during rainfall. The system includes an information collection module, a drainage analysis module, an abnormality analysis module, a waterlogging analysis module, a real-time monitoring module, and a database module; the database module is connected to the waterlogging analysis module and the abnormality analysis module; In this embodiment, the information collection module is used to collect the coordinates of precipitation observation points in the city and the city's pipeline data, and send the pipeline data to the drainage analysis module; It should be specified that, Figure 2 As shown, the pipeline data includes the length, inner diameter, Manning roughness, cross-sectional area, and hydraulic radius of the drainage pipeline; the front end height is specifically the distance between the pipeline inlet of the drainage pipeline and the ground, and the rear end height is specifically the distance between the pipeline outlet of the drainage pipeline and the ground; Specifically, the Manning roughness indicates the roughness inside the drainage pipe. The Manning roughness of plastic drainage pipes is 0.013, and that of concrete drainage pipes is 0.015. The hydraulic radius indicates the ratio of the water flow contact surface to the flow area in the drainage pipe, which is the flow resistance of the water flow and is GDNab / 4 under full flow conditions.
[0021] In this embodiment, the drainage analysis module is used to analyze the theoretical maximum drainage volume of urban sub-areas in the city; The calculation of the theoretical maximum drainage volume of a city only considers the city's drainage system, not the soil in the city. The analysis process of the drainage analysis module is as follows: Step P1: Divide the city into regions based on the precipitation observation points in the city to obtain urban sub-regions; In this embodiment, if Figure 3 As shown in FIG, the process of obtaining the city sub-region is specifically as follows: Obtain the coordinates of the precipitation observation point in the city, construct a circular area with the precipitation observation point as the center and a fixed length as the radius, and record the circular area as the precipitation observation area; if the overlapping area of adjacent precipitation observation areas is greater than or equal to the area threshold, the corresponding precipitation observation areas are determined to belong to the same city sub-area; if the overlapping area of adjacent precipitation observation areas is less than the area threshold, or there is no overlapping part between adjacent precipitation observation areas, the corresponding precipitation observation areas are determined not to belong to the same city sub-area; thus, the city sub-area of the city is constructed; It should be specifically noted that the gap areas between urban sub-areas are merged by using a local optimization algorithm, which is an existing technology; Step P2: Subtract the front-end height from the rear-end height of the drainage pipe to obtain the height difference of the drainage pipe, and divide the height difference of the drainage pipe by the pipe length to calculate the pipe slope GPDab, where a=1, 2, 3. When a=1, it indicates that the pipe is a primary drainage pipe; when a=2, it indicates that the pipe is a secondary drainage pipe; when a=3, it indicates that the pipe is a high-level drainage pipe; and b=1, 2, ..., n, where n is the number of the corresponding drainage pipe level. Step P3: Obtain the inner diameter GDNab, Manning roughness MNCab, cross-sectional area HJMab, and hydraulic radius SLBab of the drainage pipe from the pipe data, and calculate the drainage volume PSLab of the drainage pipe using the Manning formula. The Manning formula is as follows: ; The unit of drainage capacity of drainage pipes is cubic meters per second; like Figure 4 As shown, the city's drainage system consists of rainwater and sewage collection devices, primary drainage pipes, intermediate drainage pipes, advanced drainage pipes, and storage equipment. The number of primary drainage pipes is greater than the number of intermediate drainage pipes, and the number of intermediate drainage pipes is greater than the number of advanced drainage pipes. The inner diameter of the primary drainage pipe is smaller than that of the intermediate drainage pipe, and the inner diameter of the intermediate drainage pipe is smaller than that of the advanced drainage pipe. Step P4: Add the drainage volume of all primary drainage pipes in any urban sub-region to calculate the total drainage volume of the primary pipes, and simultaneously calculate the total drainage volume of the intermediate pipes and the total drainage volume of the advanced pipes in the corresponding urban sub-region; Step P5: If the total drainage volume of the primary pipelines in the urban sub-region is greater than the total drainage volume of the intermediate pipelines, the total drainage volume of the primary pipelines is compared with the total drainage volume of the advanced pipelines; When the total discharge of the primary pipeline is greater than the total discharge of the advanced pipeline, the total discharge of the primary pipeline is recorded as the theoretical maximum discharge of the corresponding urban sub-area; When the total discharge of the primary pipeline is less than or equal to the total discharge of the advanced pipeline, the total discharge of the advanced pipeline is recorded as the theoretical maximum discharge of the corresponding urban sub-area; the unit of the theoretical maximum discharge is cubic meters per second; Step P6: If the total drainage volume of the primary pipelines in the urban sub-region is less than or equal to the total drainage volume of the intermediate pipelines, the total drainage volume of the intermediate pipelines is compared with the total drainage volume of the advanced pipelines; When the total drainage volume of the intermediate pipeline is greater than the total drainage volume of the advanced pipeline, the total drainage volume of the intermediate pipeline is recorded as the theoretical maximum drainage volume of the corresponding urban sub-region; When the total drainage volume of the intermediate pipeline is less than or equal to the total drainage volume of the advanced pipeline, the total drainage volume of the advanced pipeline is recorded as the theoretical maximum drainage volume of the corresponding urban sub-region; Step P7, obtaining the theoretical maximum drainage volume of all urban sub-regions one by one; It should be specifically explained that when the drainage system in an urban sub-area is operating, the water needs to first pass through the primary pipe, then the intermediate pipe, and finally be discharged through the advanced pipe. Therefore, the drainage capacity of the drainage system depends on the drainage pipe with the lowest total drainage volume among all levels of pipes. The drainage analysis module sends the theoretical maximum drainage volume corresponding to the urban sub-area to the abnormality analysis module and the water accumulation analysis module.
[0022] In this embodiment, the database module is used to store the daily precipitation at all precipitation observation points in different urban sub-regions and the daily maximum drainage of the urban sub-regions; the anomaly analysis module is used to analyze the anomalies of the drainage system in the urban sub-regions. The working process is as follows: Step Q1: Obtain the daily precipitation at any precipitation observation point in the urban sub-area, filter the daily precipitation, and obtain dates with daily precipitation greater than or equal to a precipitation threshold, and record them as abnormal precipitation dates; Step Q2: Obtain the maximum daily discharge of the urban sub-region on the day of abnormal precipitation, and record the corresponding maximum daily discharge as the historical maximum discharge of the urban sub-region; wherein the unit of the historical maximum discharge is cubic meters per second; Step Q3: Divide the historical maximum drainage volume of the urban sub-region by the theoretical maximum drainage volume to calculate the drainage capacity value of the urban sub-region, and then calculate the drainage capacity values of all urban sub-regions; The drainage capacity value is used to reflect the deviation between the actual operation of the drainage system in the urban sub-region and the ideal operation. A drainage capacity value close to one indicates that the drainage capacity of the urban sub-region is strong; a drainage capacity value close to zero indicates that the drainage capacity of the urban sub-region is weak. Step Q4: If the drainage capacity value of the urban sub-region is greater than the capacity threshold, it is determined that there is no abnormality in the drainage system of the urban sub-region and no operation is performed; If the drainage capacity value of the urban sub-region is less than or equal to the capacity threshold, it is determined that there is an abnormality in the drainage system of the urban sub-region, and the drainage system of the urban sub-region is maintained; The anomaly analysis module sends the historical maximum drainage volume and drainage capacity value of the urban sub-area to the water accumulation analysis module.
[0023] Furthermore, the database module is further configured to store historical precipitation data of the urban sub-regions; it should be noted that the historical precipitation data of the urban sub-regions specifically include: the start time node and the stop time node of the precipitation corresponding to the historical maximum precipitation, and the maximum drainage time node when the drainage system's drainage reaches the historical maximum drainage; The start time node is the time node when the maximum historical precipitation begins, and the stop time node is the time node when the maximum historical precipitation stops. The waterlogging analysis module is used to analyze the regional types of urban sub-regions. The analysis process is as follows: In step R1, the precipitation stop time node is subtracted from the start time node to obtain the precipitation duration CXS. Then, the theoretical maximum drainage volume LZP of the urban sub-area is obtained, and the theoretical total drainage volume V1 of the urban sub-area is calculated using the formula as follows: V1=LZP×CXS; Step R2: Obtain the historical maximum drainage volume LSZ of the urban sub-region and calculate the actual total drainage volume V2 of the urban sub-region using the formula. The formula is as follows: (t), where t is any time node from the start time node to the precipitation stop time node in the urban sub-area, which is used to represent the change of the actual total drainage volume of the urban sub-area over time, t = 1, 2, ..., CXS, and the unit of t is seconds; In step R3, the theoretical total drainage volume is subtracted from the actual total drainage volume to obtain the drainage gap volume V3 of the urban sub-region. The drainage gap index QKZ of the urban sub-region is then calculated according to the formula. The specific formula is as follows: QKZ=V3 / CXS, convert the formula into: ; Step R4: When the drainage gap index of the urban sub-region is zero, it indicates that the drainage of the urban sub-region is sufficient and there is no water accumulation; when the drainage gap index of the urban sub-region is greater than zero, it indicates that the drainage of the urban sub-region is insufficient; wherein, the larger the gap index, the worse the drainage of the urban sub-region; Step R5, obtaining the starting time node of the maximum historical precipitation and the maximum drainage time node when the drainage system in the urban sub-area reaches the historical maximum drainage, subtracting the maximum drainage time node from the starting time node to obtain the real-time drainage time difference SJC of the drainage system; Step R6, obtaining the standard drainage time difference BSC of the drainage system in the urban sub-region, and when the real-time drainage time difference is greater than the standard drainage time difference, determining that the corresponding urban sub-region is a waterlogged area; When the real-time drainage time difference is less than or equal to the standard drainage time difference, proceed to the next step; Step R7: Obtain the drainage capacity value PNL of the urban sub-region and calculate the waterlogging risk index JFZ of the urban sub-region using the formula. The formula is as follows: JFZ=w1×(1-PNL)+w2×QKZ+w3×[1-(BSC-SJC) / BSC], where w1, w2, and w3 are weight coefficients with fixed values, and w1>w2>w3; Step R8: When the waterlogging risk index of the urban sub-region is less than the first risk index threshold, it is determined that there is no waterlogging in the urban sub-region, and the area type of the urban sub-region is determined to be a non-waterlogging area; When the waterlogging risk index of the urban sub-region is less than the second risk index threshold and greater than or equal to the first risk index threshold, the area type of the urban sub-region is determined to be a suspected waterlogging area; When the waterlogging risk index of the urban sub-region is greater than the second risk index threshold, determining the area type of the urban sub-region as a waterlogging area; Step R9, repeat the above steps to obtain the regional types of all urban sub-regions; The waterlogging analysis module sends the area type of the urban sub-area to the real-time monitoring module.
[0024] In this embodiment, the information collection module is further used to collect the regional area, real-time precipitation intensity and real-time monitoring data of the urban sub-region and send them to the real-time monitoring module; The real-time monitoring data is the real-time road surface video captured by the camera in the urban sub-area, and the real-time precipitation intensity is the depth of precipitation per hour, in millimeters per hour; The real-time monitoring module is used to monitor the waterlogging situation in the urban sub-areas. The working process is as follows: Step T1: Obtain the regional area ZMJ and real-time precipitation intensity JSQ of the urban sub-region, and calculate the regional precipitation flow JSL of the urban sub-region using the formula. The formula is as follows: JSL=(JSQ×ZMJ×0.001) / 3600; Step T2: when the regional precipitation flow of the urban sub-region is less than the theoretical maximum drainage volume, no operation is performed; When the regional precipitation flow of the urban sub-region is greater than or equal to the theoretical maximum discharge, proceed to the next step; Step T3: If the current urban sub-region is a suspected waterlogged area, obtain real-time monitoring data of the urban sub-region; When water accumulation is detected in a suspected waterlogged area and the waterlogged area is larger than the area threshold, the corresponding urban sub-area is determined to be a waterlogged area; When it is detected that there is water in the suspected waterlogging area, the waterlogging area is less than or equal to the area threshold, or there is no water in the suspected waterlogging area, no operation is performed; It should be noted that the detection of accumulated water in real-time monitoring data is performed using a deep learning image recognition model, which is an existing technology; Step T4: If the current urban sub-region is a waterlogged area, obtain a non-waterlogged area with the shortest distance from the waterlogged area, and transport the water in the waterlogged area to the drainage system of the non-waterlogged area through the drainage system.
[0025] In this application, if a corresponding calculation formula appears, the above calculation formula is dimensionless and its numerical calculation is performed. The weight coefficient, proportional coefficient and other coefficients in the formula are set to a result value obtained by quantifying each parameter. Regarding the size of the weight coefficient and the proportional coefficient, as long as it does not affect the proportional relationship between the parameter and the result value, it is acceptable.
[0026] Example 2, as Figure 5 As shown, based on another concept of the same invention, a smart city operation and maintenance management method is now proposed, including the following steps: Step S10, collecting the coordinates of precipitation observation points in the city and the city's pipeline data, and analyzing the theoretical maximum drainage volume of the urban sub-areas in the city based on the pipeline data to obtain the theoretical maximum drainage volume corresponding to the urban sub-areas; Step S20, using the daily precipitation at all precipitation observation points in the urban sub-region and the daily maximum drainage volume of the urban sub-region, analyze the abnormality of the drainage system in the urban sub-region, and obtain the historical maximum drainage volume and drainage capacity value of the urban sub-region; Step S30, analyzing the regional type of the urban sub-region in combination with historical precipitation data to obtain the regional type of the urban sub-region; Step S40: monitoring the waterlogging situation in the urban sub-region based on the collected area, real-time precipitation intensity and real-time monitoring data of the urban sub-region.
[0027] The preferred embodiments of the present invention disclosed above are intended only to help illustrate the present invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the present invention to specific embodiments. Obviously, many modifications and variations are possible based on the contents of this specification. These embodiments are selected and described in detail in this specification to better explain the principles and practical applications of the present invention, thereby enabling those skilled in the art to better understand and utilize the present invention. The present invention is limited only by the claims and their full scope and equivalents.
Claims
1. The operation and maintenance management system of smart city is characterized by: It includes an information collection module, a drainage analysis module, an anomaly analysis module, a water accumulation analysis module, a real-time monitoring module and a database module. The information collection module is used to collect the coordinates of precipitation observation points in the city and the city's pipeline data, and send the pipeline data to the drainage analysis module; the drainage analysis module is used to analyze the theoretical maximum drainage volume of urban sub-areas in the city, analyze the theoretical maximum drainage volume corresponding to the urban sub-area, and send it to the anomaly analysis module and the water accumulation analysis module; The database module is used to store the daily precipitation of all precipitation observation points in different urban sub-regions and the daily maximum drainage of the urban sub-regions; the abnormal analysis module is used to analyze the abnormal conditions of the drainage system in the urban sub-regions, analyze and obtain the historical maximum drainage and drainage capacity values of the urban sub-regions and send them to the water accumulation analysis module; The database module is also used to store historical precipitation data of urban sub-areas; the water accumulation analysis module is used to analyze the area type of the urban sub-area, obtain the area type of the urban sub-area through analysis and send it to the real-time monitoring module; the information collection module is also used to collect the area, real-time precipitation intensity and real-time monitoring data of the urban sub-area and send them to the real-time monitoring module; the real-time monitoring module is used to monitor the water accumulation situation in the urban sub-area.
2. The operation and maintenance management system of a smart city according to claim 1, characterized in that: The pipe data include the pipe length, pipe inner diameter, Manning roughness, cross-sectional area and hydraulic radius of the drainage pipe.
3. The operation and maintenance management system of a smart city according to claim 2, characterized in that: The analysis process of the drainage analysis module includes: The city is divided into regions based on the precipitation observation points in the city to obtain urban sub-regions; Subtract the front end height from the rear end height of the drainage pipe to obtain the height difference of the drainage pipe, and divide the height difference of the drainage pipe by the pipe length to calculate the pipe slope; Obtain the inner diameter, Manning roughness, cross-sectional area, and hydraulic radius of the drainage pipe in the pipe data, and calculate the drainage volume of the drainage pipe; wherein the drainage pipe includes primary drainage pipes, intermediate drainage pipes, and advanced drainage pipes, the number of primary drainage pipes is greater than the number of intermediate drainage pipes, the number of intermediate drainage pipes is greater than the number of advanced drainage pipes, the inner diameter of the primary drainage pipe is smaller than the inner diameter of the intermediate drainage pipe, and the inner diameter of the intermediate drainage pipe is smaller than the inner diameter of the advanced drainage pipe; The drainage volume of all primary drainage pipes in any urban sub-region is added together to calculate the total drainage volume of primary pipes. The total drainage volume of intermediate pipes and the total drainage volume of advanced pipes in the corresponding urban sub-region are also calculated. If the total drainage volume of primary pipes in an urban sub-region is greater than the total drainage volume of intermediate pipes, the total drainage volume of primary pipes is compared with the total drainage volume of advanced pipes. When the total drainage volume of primary pipes is greater than the total drainage volume of advanced pipes, the total drainage volume of primary pipes is recorded as the theoretical maximum drainage volume of the corresponding urban sub-region. When the total drainage volume of primary pipes is less than or equal to the total drainage volume of advanced pipes, the total drainage volume of advanced pipes is recorded as the theoretical maximum drainage volume of the corresponding urban sub-region. The unit of the theoretical maximum drainage volume is cubic meters per second. If the total drainage volume of primary pipelines in a city sub-region is less than or equal to the total drainage volume of intermediate pipelines, the total drainage volume of intermediate pipelines is compared with the total drainage volume of advanced pipelines. If the total drainage volume of intermediate pipelines is greater than the total drainage volume of advanced pipelines, the total drainage volume of intermediate pipelines is recorded as the theoretical maximum drainage volume of the corresponding city sub-region. If the total drainage volume of intermediate pipelines is less than or equal to the total drainage volume of advanced pipelines, the total drainage volume of advanced pipelines is recorded as the theoretical maximum drainage volume of the corresponding city sub-region. Obtain the theoretical maximum drainage capacity of all urban sub-areas one by one.
4. The operation and maintenance management system of a smart city according to claim 3, characterized in that: The process of obtaining the urban sub-region is as follows: Obtain the coordinates of the precipitation observation point in the city, and construct a circular area with the precipitation observation point as the center and a fixed length as the radius. The circular area is recorded as the precipitation observation area. If the overlapping area of adjacent precipitation observation areas is greater than or equal to the area threshold, the corresponding precipitation observation areas are determined to belong to the same urban sub-area. If the overlapping area of adjacent precipitation observation areas is less than the area threshold, or there is no overlapping part between adjacent precipitation observation areas, the corresponding precipitation observation areas are determined not to belong to the same urban sub-area. In this way, the urban sub-area of the city is constructed.
5. The operation and maintenance management system of a smart city according to claim 3, characterized in that: The analysis process of the abnormality analysis module includes: Obtain the daily precipitation at any precipitation observation point within the urban sub-area, filter the daily precipitation, and find the dates with daily precipitation greater than or equal to the precipitation threshold, and record them as abnormal precipitation dates; Then, the maximum daily discharge of the urban sub-region on the day of abnormal precipitation is obtained, and the corresponding maximum daily discharge is recorded as the historical maximum discharge of the urban sub-region; Divide the historical maximum drainage volume of the urban sub-region by the theoretical maximum drainage volume to calculate the drainage capacity value of the urban sub-region, and then calculate the drainage capacity values of all urban sub-regions; If the drainage capacity value of the urban sub-region is greater than the capacity threshold, no action is taken; If the drainage capacity value of the urban sub-region is less than or equal to the capacity threshold, the drainage system of the urban sub-region is maintained.
6. The operation and maintenance management system of a smart city according to claim 5, characterized in that: The historical precipitation data of the urban sub-area are: the start time node and the stop time node of the precipitation corresponding to the historical maximum precipitation, and the maximum drainage time node when the drainage system's discharge reaches the historical maximum discharge.
7. The operation and maintenance management system of a smart city according to claim 6, characterized in that: The analysis process of the water accumulation analysis module is as follows: Subtract the stop time node from the start time node to obtain the duration of precipitation, and then obtain the theoretical maximum drainage volume of the urban sub-area and calculate the theoretical total drainage volume of the urban sub-area; Obtain the historical maximum drainage volume of the urban sub-area and calculate the actual total drainage volume of the urban sub-area; Subtract the theoretical total drainage volume from the actual total drainage volume to obtain the drainage gap volume of the urban sub-region, and then calculate the drainage gap index of the urban sub-region; When the drainage gap index of the urban sub-region is zero, no operation is performed; when the drainage gap index of the urban sub-region is greater than zero, the process proceeds to the next step.
8. The operation and maintenance management system of a smart city according to claim 7, characterized in that: The analysis process of the water accumulation analysis module also includes: Obtain the starting time node of the historical maximum precipitation and the maximum drainage time node when the drainage system in the urban sub-area reaches the historical maximum drainage amount. Subtract the maximum drainage time node from the starting time node to obtain the real-time drainage time difference of the drainage system. Then, the standard drainage time difference of the drainage system in the urban sub-region is obtained. When the real-time drainage time difference is greater than the standard drainage time difference, the corresponding urban sub-region is determined to be a waterlogged area. When the real-time drainage time difference is less than or equal to the standard drainage time difference, the drainage capacity value of the urban sub-area is obtained, and the waterlogging risk index of the urban sub-area is calculated; when the waterlogging risk index of the urban sub-area is less than the first risk index threshold, the area type of the urban sub-area is determined to be a non-waterlogging area; when the waterlogging risk index of the urban sub-area is less than the second risk index threshold and greater than or equal to the first risk index threshold, the area type of the urban sub-area is determined to be a suspected waterlogging area; when the waterlogging risk index of the urban sub-area is greater than the second risk index threshold, the area type of the urban sub-area is determined to be a waterlogging area; According to the above process, the regional types of all urban sub-regions are obtained.
9. The operation and maintenance management system of a smart city according to claim 8, characterized in that: The working process of the real-time monitoring module is specifically as follows: Obtain the regional area and real-time precipitation intensity of the urban sub-region and calculate the regional precipitation flow of the urban sub-region; When the regional precipitation flow of the urban sub-region is less than the theoretical maximum discharge, no operation is performed; When the regional precipitation flow of the urban sub-region is greater than or equal to the theoretical maximum discharge, proceed to the next step; If the current urban sub-region is a suspected waterlogging area, real-time monitoring data of the urban sub-region is obtained; when waterlogging is detected in the suspected waterlogging area and the waterlogging area is greater than the area threshold, the corresponding urban sub-region is determined to be a waterlogging area; If water accumulation is detected in the suspected water accumulation area, the water accumulation area is less than or equal to the area threshold, or there is no water accumulation in the suspected water accumulation area, no operation will be performed; If the current urban sub-region is a waterlogged area, obtain the non-waterlogged area with the shortest distance from the waterlogged area, and transport the accumulated water in the waterlogged area to the non-waterlogged area.
10. The operation and maintenance management method of a smart city is characterized by: The operation and maintenance management system of a smart city according to any one of claims 1 to 9, the method comprising: Step S10, collecting the coordinates of precipitation observation points in the city and the city's pipeline data, and analyzing the theoretical maximum drainage volume of the urban sub-areas in the city based on the pipeline data to obtain the theoretical maximum drainage volume corresponding to the urban sub-areas; Step S20, using the daily precipitation at all precipitation observation points in the urban sub-region and the daily maximum drainage volume of the urban sub-region, analyze the abnormality of the drainage system in the urban sub-region, and obtain the historical maximum drainage volume and drainage capacity value of the urban sub-region; Step S30, analyzing the regional type of the urban sub-region in combination with historical precipitation data to obtain the regional type of the urban sub-region; Step S40: monitoring the waterlogging situation in the urban sub-region based on the collected area, real-time precipitation intensity and real-time monitoring data of the urban sub-region.