Urban inland inundation early warning and monitoring method and system based on big data analysis

Abstract

The invention discloses an urban inland inundation early warning monitoring method and system based on big data analysis, and the method comprises the six steps: data collection, data transmission, data storage and management, big data analysis, early warning release and emergency response. Real-time monitoring and early warning of urban inland inundation are achieved through various sensors, the accuracy and timeliness of early warning are improved, and losses caused by the inland inundation can be effectively reduced; real-time monitoring and data analysis of urban inland inundation provide a scientific basis for urban flood control and drainage; and meanwhile, multi-channel issuing of the early warning information can ensure that the information is timely transmitted to related departments and citizens, and the emergency response speed is improved. The method has high expandability and adaptability, and the flood control and drainage capacity of cities is improved.

Description

Technical Field

[0001] The present invention relates to the field of urban waterlogging early warning technology, and in particular to an urban waterlogging early warning monitoring method and system based on big data analysis. Background Art

[0002] With the acceleration of urbanization, urban waterlogging is becoming increasingly serious, posing a huge threat to people's lives and property. Traditional urban waterlogging monitoring methods mainly rely on manual observation and a small amount of monitoring equipment, with problems such as limited monitoring range, inaccurate data, and untimely warning. In addition, the amount of data obtained by traditional monitoring methods is limited, making it difficult to conduct in-depth analysis and prediction. Due to the lack of sufficient data support, it is difficult to accurately judge the probability and severity of waterlogging, and it is impossible to take effective preventive measures in advance. In the face of sudden heavy rainfall and other situations, emergency response can only be carried out passively, and early warning and active prevention are not possible. Summary of the invention

[0003] In view of the above problems, the present invention proposes an urban waterlogging early warning monitoring method and system based on big data analysis.

[0004] The specific technical solutions are as follows:

[0005] An urban waterlogging early warning monitoring system based on big data analysis includes six steps: data collection, data transmission, data storage and management, big data analysis, early warning issuance and emergency response. The data collection is mainly carried out through sensors, and the sensors include water level sensors, rainfall sensors, flow sensors and water quality sensors; the data transmission includes wired transmission and wireless transmission. The wired transmission adopts industrial communication protocols such as RS485 and Modbus to ensure the stability and reliability of data transmission; the wireless transmission adopts wireless communication technologies such as 4G / 5G, LoRa, NB-IoT, etc., with fast transmission speed and wide coverage.

[0006] The water level sensors are placed in areas prone to waterlogging, such as flood-prone areas, low-lying roads, underpasses, and underground parking lot entrances. These places are usually key locations where waterlogging occurs. By deploying water level sensors at these locations, the depth changes of waterlogging can be accurately monitored.

[0007] Rainfall sensors are deployed in various areas of the city, such as parks, squares, schools, residential areas, etc. In order to more accurately reflect the rainfall conditions in different areas of the city, multiple rainfall sensors can be set up in different terrains and functional areas;

[0008] Flow sensors are arranged at key nodes of urban drainage pipes, such as drainage outlets, inspection wells, pumping stations, etc. By monitoring the water flow in the drainage pipes, the operating status and drainage capacity of the drainage system can be understood;

[0009] Water quality sensors are installed at urban drainage outlets, river confluences and other locations to monitor changes in water quality during waterlogging. During waterlogging, rainwater may carry various pollutants into the drainage system and water bodies. Timely monitoring of water quality changes is crucial to assessing the impact of waterlogging on the environment.

[0010] A method for early warning and monitoring of urban waterlogging based on big data analysis comprises the following steps:

[0011] (2) Data collection: Through the installation of water level sensors, rainfall sensors, flow sensors, water quality sensors and other monitoring equipment at key locations in the city, real-time data on water level, rainfall, drainage pipe flow, water quality, etc. in the city are collected;

[0012] (2) Data transmission: The collected data is transmitted to the data center via wired or wireless transmission, and the data is encrypted;

[0013] (3) Data storage and management: Store the data transmitted to the data center, establish an urban waterlogging database, and classify, organize, and label the data in the database for data analysis;

[0014] (4) Big data analysis: Using big data analysis technology, we can mine and analyze the data in the urban waterlogging database, specifically analyze the relationship between rainfall, water level, flow and other data, establish a waterlogging early warning model, and predict the probability and severity of urban waterlogging through the analysis of historical data;

[0015] (5) Warning release: Based on the analysis results, when the probability of waterlogging exceeds the set threshold, warning information is released in a timely manner. Warning information can be released through a variety of channels, such as mobile phone text messages, WeChat public accounts, APPs, electronic display screens, etc., to ensure that the information can be sent to relevant departments and residents in a timely manner;

[0016] (6) Emergency response: Upon receiving warning information, relevant departments and residents can take appropriate emergency measures based on the warning level.

[0017] The beneficial effects of the present invention are:

[0018] The present invention proposes a method and system for early warning monitoring of urban waterlogging based on big data analysis, which realizes real-time monitoring and early warning of urban waterlogging through multiple sensors, improves the accuracy and timeliness of early warning, and can effectively reduce the losses caused by waterlogging; at the same time, the multi-channel release of early warning information can ensure that the information is delivered to relevant departments and citizens in a timely manner, thereby improving the emergency response speed. It has high scalability and adaptability, and improves the city's flood control and drainage capabilities. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 This is the patent flow chart of the present invention. DETAILED DESCRIPTION

[0020] In order to make the technical solution of the present invention clearer and more explicit, the present invention is further described below in conjunction with the accompanying drawings. Any equivalent replacement of the technical features of the technical solution of the present invention and any solution derived by conventional reasoning shall fall within the protection scope of the present invention.

[0021] 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.

[0022] An urban waterlogging early warning monitoring system based on big data analysis includes six steps: data collection, data transmission, data storage and management, big data analysis, early warning issuance and emergency response. The data collection is mainly carried out through sensors, and the sensors include water level sensors, rainfall sensors, flow sensors and water quality sensors; the data transmission includes wired transmission and wireless transmission. The wired transmission adopts industrial communication protocols such as RS485 and Modbus to ensure the stability and reliability of data transmission; the wireless transmission adopts wireless communication technologies such as 4G / 5G, LoRa, NB-IoT, etc., with fast transmission speed and wide coverage.

[0023] A method for early warning and monitoring of urban waterlogging based on big data analysis comprises the following steps:

[0024] (3) Data collection: Through the installation of water level sensors, rainfall sensors, flow sensors, water quality sensors and other monitoring equipment at key locations in the city, real-time data on water level, rainfall, drainage pipe flow, water quality, etc. in the city are collected;

[0025] (2) Data transmission: The collected data is transmitted to the data center via wired or wireless transmission, and the data is encrypted;

[0026] (3) Data storage and management: Store the data transmitted to the data center, establish an urban waterlogging database, and classify, organize, and label the data in the database for data analysis;

[0027] (4) Big data analysis: Using big data analysis technology, we can mine and analyze the data in the urban waterlogging database, specifically analyze the relationship between rainfall, water level, flow and other data, establish a waterlogging early warning model, and predict the probability and severity of urban waterlogging through the analysis of historical data;

[0028] (5) Warning release: Based on the analysis results, when the probability of waterlogging exceeds the set threshold, warning information is released in a timely manner. Warning information can be released through a variety of channels, such as mobile phone text messages, WeChat public accounts, APPs, electronic display screens, etc., to ensure that the information can be sent to relevant departments and residents in a timely manner;

[0029] (6) Emergency response: Upon receiving warning information, relevant departments and residents can take appropriate emergency measures based on the warning level.

[0030] The water level sensors are placed in areas prone to waterlogging, such as urban flood-prone areas, low-lying roads, underpasses, underground parking lot entrances, etc. These places are usually key locations where waterlogging occurs. By deploying water level sensors at these locations, the depth changes of waterlogging can be accurately monitored; the accuracy requirements of water level sensors are generally at the centimeter level to accurately reflect the depth changes of waterlogging, and the accuracy should be within ±2 cm to ensure the accuracy of early warning.

[0031] Rainfall sensors are deployed in various areas widely distributed in the city, such as parks, squares, schools, residential areas, etc. In order to more accurately reflect the rainfall conditions in different areas of the city, multiple rainfall sensors can be set up in different terrains and functional areas; the accuracy requirement of rainfall sensors is generally at the millimeter level to accurately measure the amount of rainfall, and the accuracy should be within ±0.5 mm to provide reliable data support for urban waterlogging warning.

[0032] Flow sensors are arranged at key nodes of urban drainage pipes, such as drainage outlets, inspection wells, pumping stations, etc. By monitoring the water flow in the drainage pipes, the operating status and drainage capacity of the drainage system can be understood; the accuracy requirements of the flow sensor are determined according to the size and flow range of the drainage pipes, generally within ±5%, to ensure accurate monitoring of the operating status and drainage capacity of the drainage system.

[0033] Water quality sensors are installed at urban drainage outlets, river confluences and other locations to monitor changes in water quality during waterlogging. During waterlogging, rainwater may carry various pollutants into the drainage system and water bodies. Timely monitoring of water quality changes is crucial for assessing the impact of waterlogging on the environment. The accuracy requirements of water quality sensors depend on different water quality parameters. For example, the accuracy of pH sensors should be within ±0.1pH, and the accuracy of dissolved oxygen sensors should be within ±0.5mg / L to accurately reflect changes in water quality during waterlogging.

[0034] The present invention proposes a method and system for early warning and monitoring of urban waterlogging based on big data analysis. It uses multiple sensors to realize real-time monitoring and early warning of urban waterlogging, improves the accuracy and timeliness of early warning, and can effectively reduce the losses caused by waterlogging. Real-time monitoring and data analysis of urban waterlogging provide a scientific basis for urban flood control and drainage. At the same time, the multi-channel release of early warning information can ensure that the information is delivered to relevant departments and citizens in a timely manner, thereby improving the emergency response speed. It has high scalability and adaptability, and improves the flood control and drainage capabilities of cities. It can be customized according to the characteristics of different cities.

[0035] The above is only a preferred specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed by the present invention should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. An urban waterlogging early warning monitoring system based on big data analysis, characterized by: It includes six steps: data collection, data transmission, data storage and management, big data analysis, early warning release and emergency response. The data collection is mainly carried out through sensors, which include water level sensors, rainfall sensors, flow sensors and water quality sensors; the data transmission includes wired transmission and wireless transmission.

2. The urban waterlogging early warning monitoring system based on big data analysis as claimed in claim 1 is characterized by: The wired transmission adopts industrial communication protocols such as RS485 and Modbus to ensure the stability and reliability of data transmission.

3. The urban waterlogging early warning monitoring system based on big data analysis as claimed in claim 1 is characterized by: Wireless transmission adopts wireless communication technologies such as 4G / 5G, LoRa, and NB-IoT, with fast transmission speed and wide coverage.

4. The urban waterlogging early warning monitoring system based on big data analysis as claimed in claim 1 is characterized by: The water level sensors are arranged in areas prone to waterlogging, such as urban flood-prone areas, low-lying road sections, underpasses, underground parking lot entrances, etc.; these places are usually key locations where waterlogging occurs. By deploying water level sensors at these locations, the depth changes of the accumulated water can be accurately monitored.

5. The urban waterlogging early warning monitoring system based on big data analysis as claimed in claim 1 is characterized by: The rain sensors are arranged in various areas widely distributed in the city, such as parks, squares, schools, residential areas, etc. In order to more accurately reflect the rainfall conditions in different areas of the city, multiple rain sensors can be set in different terrains and functional areas.

6. The urban waterlogging early warning monitoring system based on big data analysis as claimed in claim 1, characterized in that: The flow sensor is arranged at key nodes of urban drainage pipes, such as drainage outlets, inspection wells, pumping stations, etc. By monitoring the water flow in the drainage pipes, the operating status and drainage capacity of the drainage system can be understood.

7. The urban waterlogging early warning monitoring system based on big data analysis as claimed in claim 1 is characterized by: The water quality sensors are arranged at urban drainage outlets, river confluences and other locations to monitor changes in water quality during waterlogging. During waterlogging, rainwater may carry various pollutants into the drainage system and water bodies. Timely monitoring of water quality changes is crucial for assessing the impact of waterlogging on the environment.

8. A method for early warning and monitoring of urban waterlogging based on big data analysis, comprising the following steps: (1) Data collection: Water level sensors, rainfall sensors, flow sensors, water quality sensors and other monitoring equipment installed at key locations in the city collect data such as water level, rainfall, drainage pipe flow, and water quality in real time; (2) Data transmission: The collected data is transmitted to the data center via wired or wireless transmission, and the data is encrypted; (3) Data storage and management: Store the data transmitted to the data center, establish an urban waterlogging database, and classify, organize, and label the data in the database for data analysis; (4) Big data analysis: Using big data analysis technology, we can mine and analyze the data in the urban waterlogging database, specifically analyze the relationship between rainfall, water level, flow and other data, establish a waterlogging early warning model, and predict the probability and severity of urban waterlogging through the analysis of historical data; (5) Warning release: Based on the analysis results, when the probability of waterlogging exceeds the set threshold, warning information is released in a timely manner. Warning information can be released through a variety of channels, such as mobile phone text messages, WeChat public accounts, APPs, electronic display screens, etc., to ensure that the information can be sent to relevant departments and residents in a timely manner; (6) Emergency response: Upon receiving warning information, relevant departments and residents can take appropriate emergency measures based on the warning level.

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