Site cluster flood monitoring and early warning method, system and application

Abstract

The invention discloses a site cluster flood monitoring and early warning method and system and application, and relates to the technical field of data monitoring and early warning. The method comprises the following steps: arranging a plurality of water level monitoring stations along a river from upstream to downstream; the downstream station actively obtains the monitoring data of the upstream station, calculates the flood rising rate and the flood peak flow rate according to the monitoring data of the upstream station, measures and calculates the time when the flood reaches the downstream and the flood level when the flood reaches the downstream, and then judges whether the risk of submerging residents along the river exists or not; and sending early warning information to the residents along the river according to a judgment result. The system comprises a central platform, a plurality of ad hoc networks, a plurality of water level monitoring stations and a telemetering terminal. The method is applied to a public network unobstructed state and a public network-free state. According to the invention, acquisition, analysis and early warning judgment of monitoring data can be completed autonomously; the calculation capability of the water level monitoring station is improved by applying a powerful function with edge calculation, the complexity and importance of a central platform are reduced, and the reliability of the whole system is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of data monitoring and early warning, and in particular to a site cluster flood monitoring and early warning method, system and application. Background Art

[0002] In the case of frequent extreme weather, traditional telemetry terminals use 4G communication to send data to the central platform. Currently, the central platforms corresponding to telemetry terminals that support multiple transmissions in one packet are deployed in administrative locations such as provinces, cities, and counties. The water conservancy department is responsible for analyzing the risk of rainstorms and floods based on monitoring data and issuing warnings to towns and villages. However, when rainstorms occur suddenly, communication interruptions often occur at outdoor rain monitoring stations. The inability to report monitoring data causes the platform's function of judging and warning based on rain conditions to fail, missing the best time for warning. Therefore, it is necessary to design a site cluster flood monitoring and early warning method based on edge computing and self-organizing network communication that can solve existing problems and realize the normal operation of the early warning function around the clock and at all times. Summary of the invention

[0003] In view of the problems existing in the prior art, the present invention provides a site cluster flood monitoring and early warning method, system and application.

[0004] To achieve the above purpose, the technical solution adopted by the present invention is as follows:

[0005] A site cluster flood monitoring and early warning method comprises the following steps: step 1, deploying a plurality of water level monitoring stations along the river from the upstream to the downstream; step 2, the downstream site actively obtains the monitoring data of the upstream site, and calculates the flood rising rate and flood flow rate according to the monitored water level of the upstream site, measures the time when the flood arrives downstream and the flood water level when it arrives, and then determines whether there is a risk of flooding residents along the river; step 3, sending early warning information to the residents along the river according to the judgment result.

[0006] Based on the above technical solution, further, the process of step 2 is: step 21, obtain the water level data of the upstream site farthest and second farthest from the downstream site; step 22, identify the time when the flood passes through the two upstream sites according to the changes in the water level data of the two sites; step 23, calculate the flood flow rate according to the time when the flood passes through the two upstream sites; step 24, calculate the flood water level when the flood arrives at this station according to the water level when the flood passes through the two upstream sites; step 25, perform early warning judgment calculations based on the flood flow rate and flood water level, and analyze the flood risk at the downstream site; step 26, generate early warning information based on the flood risk.

[0007] A site cluster flood monitoring and early warning system includes a central platform and multiple water level monitoring stations supporting self-organizing network communication. The water level data collected by all water level monitoring stations are transmitted to the central platform through a public network and then forwarded to other sites in the cluster, or the upstream site data is transmitted to the downstream site through the self-organizing network; the core component of the water level monitoring station is a telemetry terminal, which supports two communication modes, self-organizing network and public network, and both communication modes can obtain water level data from other water level monitoring stations and support complex calculations on water level data.

[0008] Based on the above technical solution, further, the telemetry terminal has the following characteristics: Feature 1, collecting water levels and storing them locally; Feature 2, supporting communication in public network communication technology; Feature 3, supporting communication in ad hoc network communication technology; Feature 4, having the function of obtaining data collected by other telemetry terminals through 4G public network and ad hoc network; Feature 5, having the function of calculating flood flow rate by combining water level data of multiple water level monitoring stations; Feature 6, having the function of calculating the local flood rise by combining the water level rise of multiple sites; Feature 7, having the ability to make early warning judgments based on upstream water levels; Feature 8, having the ability to make complex early warning judgment calculations based on water levels of multiple sites; Feature 9, having the ability to make early warning judgments based on the water levels collected at this station; Feature 10, having the function of generating and publishing early warning information based on the early warning judgment results.

[0009] Based on the above technical solution, further, the warning release method of the telemetry terminal includes sending text messages to a designated mobile phone number, sending early warning messages to the platform through the 4G network, and sending early warning messages to other devices through a self-organizing network.

[0010] An application of a site cluster flood monitoring and early warning system is applied in a state where a public network is unobstructed or no public network is available.

[0011] Based on the above technical solution, further, when the public network is unobstructed, the specific working process is: each site communicates with the central platform in real time, and reports the monitored water level data regularly according to the set frequency; the central platform sets the upstream and downstream relationship of the site according to the upstream and downstream positions of each site in the river, and saves the water level data reported by each station according to the upstream and downstream relationship; each site communicates with the platform regularly to obtain the water level data of all sites upstream of the installation location; the water level data of the upstream site is used to analyze and calculate the time and water level of the flood reaching this site; the threat of the flood to the villages along the river at the site installation location is analyzed according to the time and water level of the flood arrival, and a warning judgment is made according to the water level warning indicators of the site installation location; a warning is issued to the villages along the river at the site installation location according to the warning judgment results.

[0012] Based on the above technical solution, further, when there is no public network, the specific working process is: each site collects water level data at a regular interval and caches it in the local machine, and the site automatically determines whether the public network communication is unobstructed; when each site determines that the public network communication is interrupted, it uses the self-organizing network to actively communicate according to the set upstream and downstream relationships, and the downstream site obtains the water level data of the upstream site through the self-organizing network; the downstream site uses the acquired upstream site data to analyze and calculate the time and water level of the flood arriving at the station; the threat of the flood to the villages along the river near the site installation location is analyzed according to the time and water level of the flood arrival, and an early warning judgment is made according to the water level early warning indicators of the site installation location; and an early warning is issued to the villages along the river at the site installation location based on the early warning judgment results.

[0013] Based on the above technical solution, further, the monitoring data and water level data both refer to the water level collected regularly by the site, and the recorded content includes characteristic information such as water level, collection time, site code, etc.

[0014] Compared with the prior art, the present invention has the following beneficial effects:

[0015] (1) The present invention can autonomously complete the acquisition, analysis and early warning judgment of monitoring data. The powerful function of edge computing is used to improve the computing power of the water level monitoring station, reduce the complexity and importance of the central platform, and the monitoring station can also autonomously complete all the work from data collection to early warning release in the event of communication interruption, making the reliability of the entire system stronger.

[0016] (2) The present invention expands the communication capability of the telemetry terminal so that it supports LoRa, Wi-Fi, Zigbee and other ad hoc networks on the basis of supporting 4G communication, thus realizing dual-network communication of the public network and the ad hoc network. The central platform serves as a transfer station for monitoring data, which is used to receive data from all sites in the basin and support each site to obtain monitoring data from other sites from the center. The central platform does not analyze and process the data, and does not make early warning judgments. The functions of data processing and early warning judgment are all placed in the telemetry terminal.

[0017] (3) The present invention takes the telemetry terminal as the core, supports data transmission through the central platform, and also supports data transmission through the self-organizing network. The networking mode of each telemetry terminal is a mesh network, and any station can communicate with each other. The typical application scenario of the system is to deploy multiple water level monitoring stations along the river from upstream to downstream of a river with a length of more than 20 km. The downstream station can actively obtain the monitoring data of the upstream station, and calculate the flood rise rate and flood flow rate based on the water level of the upstream station, and then calculate the time when the flood arrives downstream and the flood water level when it arrives, and then judge whether there is a risk of flooding residents along the river, and send early warning information to the residents along the river according to the judgment result. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1It is a schematic diagram of the structure of the system of the present invention. DETAILED DESCRIPTION

[0019] The present invention is further described and illustrated below in conjunction with the accompanying drawings and specific embodiments. The technical features of each embodiment of the present invention can be combined accordingly without conflicting with each other.

[0020] In order to make the above-mentioned purpose, features and advantages of the present invention more obvious and easy to understand, the specific implementation mode of the present invention is described in detail below in conjunction with the accompanying drawings. In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention can be implemented in many other ways different from those described herein, and those skilled in the art can make similar improvements without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below. The technical features in each embodiment of the present invention can be combined accordingly without conflicting with each other.

[0021] In the description of the present invention, it is to be understood that when an element is considered to be "connected" to another element, it may be directly connected to the other element or indirectly connected, that is, there are intermediate elements. On the contrary, when an element is said to be "directly" connected to another element, there are no intermediate elements.

[0022] Example 1

[0023] This embodiment provides a site cluster flood monitoring and early warning method, including the following steps:

[0024] Step 1: Set up multiple water level monitoring stations along the river from upstream to downstream.

[0025] In this embodiment, a central platform is also provided, and all water level monitoring stations can transmit data to the central platform through public networks such as 4G and 5G. It should be noted that the central platform, as a transfer station for monitoring data, is used to receive water level data from all water level monitoring stations in the basin and support each station to obtain water level data from other stations from the central platform. The central platform does not analyze and process the data, does not make early warning judgments, and puts all the functions of data processing and early warning judgments in the water level monitoring station. That is, with the built-in telemetry terminal with powerful computing power in the water level monitoring station as the core, by expanding the communication capability of the telemetry terminal, it supports self-organizing networks such as LoRa, Wi-Fi, Zigbee on the basis of supporting 4G and 5G communications, and realizes public network and self-organizing network dual network communication. It supports mutual transmission of data through the central platform, and also supports mutual transmission of data through self-organizing networks. The networking mode between each telemetry terminal is a mesh network, and data can be transmitted between any sites.

[0026] Step 2: The downstream site actively obtains the water level data monitored by the upstream site, and calculates the flood rise rate and flood flow rate based on the water level data of the upstream site, measures the time when the flood arrives downstream and the flood level when it arrives, and then determines whether there is a risk of flooding residents along the river.

[0027] In this embodiment, the process of step 2 includes the following steps:

[0028] Step 21, obtaining water level data of the upstream site that is the farthest and the second farthest from the downstream site; it should be noted that the farthest refers to the farthest distance, and the second farthest refers to the second farthest distance after the farthest;

[0029] Step 22: Calculate the flood rise rate based on the changes in water level data of the two stations over a period of time, and calculate the time interval between the two upstream stations experiencing water rise; it should be noted that the time interval is the time difference between the two stations monitoring the water level rise;

[0030] Step 23, calculating the flood velocity according to the time interval between the flooding of two upstream stations and the distance between the stations;

[0031] Step 24, calculate the flood water level when it arrives at this station based on the water level rising rate at the two upstream stations; specifically, the calculation process is: take the water level rising rate at the upstream station as the water level rising rate of this station, take the water level rising start and end time of the upstream water level station as the time start and end points to calculate the water rising duration as the water rising duration of this station, and the product of the rising rate and the water rising duration can be used to obtain the possible flood water level of this station.

[0032] Step 25: Calculate the time when the flood arrives at the station based on the flood velocity, compare the calculated flood water level when it arrives at the station with the flooding water level of the residents in the villages along the river, complete the early warning judgment calculation, and judge the flooding risk of the residents along the river where the station is located;

[0033] Step 26: Generate early warning information based on the flood risk of the area that may be inundated by the flood.

[0034] Step 3: Send warning information based on the judgment result. Specifically, the warning information is sent to designated residents in the form of text messages through the telemetry terminal, and is sent to the central platform and surrounding warning devices in the form of messages.

[0035] Example 2

[0036] Combination Figure 1As shown, this embodiment provides a site cluster flood monitoring and early warning system, and the site cluster flood monitoring and early warning method in Example 1 is implemented on the system. The system includes a central platform and multiple water level monitoring stations, and the water level data monitored by all water level monitoring stations can be transmitted between water level monitoring stations through an ad hoc network. Furthermore, the telemetry terminal, when supporting the use of LoRa, Wi-Fi, Zigbee and other ad hoc networks to transmit data to each other, also transmits data to each other on the central platform through 4G and 5G networks.

[0037] Furthermore, the core component of the water level monitoring station is a telemetry terminal with edge computing capabilities, which has the following functional features: Feature 1: Collecting water levels and storing them locally; Feature 2: Supporting at least one communication capability among public network communication technologies such as 4G, 5G, and NB-Iot; Feature 3: Supporting at least one communication capability among ad hoc network communication technologies such as LoRa, Wi-Fi, and Zigbee; Feature 4: Having the function of obtaining water level data collected by other telemetry terminals through the public network and ad hoc network; Feature 5: Having the function of calculating flood flow rate by combining water level data of multiple sites; Feature 6: Having the function of calculating the local flood rise by combining the water level rise of multiple sites; Feature 7: Having the ability to calculate the local future water level based on the upstream water level; Feature 8: Having the ability to perform complex early warning judgment calculations based on the water levels of multiple sites; Feature 9: Having the ability to make early warning judgments based on the water levels collected by this station; Feature 10: Having the function of generating and publishing early warning information based on the early warning judgment results, and its publishing methods include sending text messages to designated mobile phone numbers, sending early warning messages to the platform through the 4G network, and sending early warning messages to other devices through the ad hoc network.

[0038] In this embodiment, multiple telemetry terminals in the system communicate autonomously, and downstream stations actively obtain water level data from all upstream stations, complete flood prediction analysis on their own, and send warnings to residents along the river. The system is suitable for rivers with a length of more than 20 km.

[0039] Example 3

[0040] This embodiment provides an application of a site cluster flood monitoring and early warning system, which is applicable to a state where a public network is available and a state where there is no public network.

[0041] In some embodiments, when the public network is unobstructed, the specific working process is as follows:

[0042] 1. Each site communicates with the central platform in real time and reports water level data regularly according to the set frequency.

[0043] 2. The central platform sets the upstream and downstream relationship according to the upstream and downstream positions of each station in the river, and saves the water level data reported by each station according to the upstream and downstream relationship.

[0044] 3. Each site communicates with the platform regularly to obtain water level data of all sites upstream of the installation location.

[0045] 4. Use the water level data monitored at the upstream site to analyze and calculate the time and water level for the flood to reach this site.

[0046] 5. Analyze the threat of floods to the villages along the river where the site is installed based on the time and water level of the flood arrival, and compare with the early warning indicators of the villages along the river where the site is installed to determine the early warning judgment of the flooding risk of the villages along the river. It should be noted that the early warning judgment is based on the early warning indicators, which are set according to the actual water level when the houses in the village are flooded.

[0047] 6. Issue warnings to villages along the river where the station is installed based on the warning judgment results.

[0048] In some embodiments, when the public network is disconnected (no public network), the specific working process is as follows:

[0049] 1. Each station collects water level data regularly and caches it in the local machine. The station automatically determines whether the public network communication is unobstructed. It should be noted that the telemetry terminal is located in the local machine.

[0050] 2. When each site determines that the public network communication is interrupted, it uses the self-organizing network to actively communicate according to the set upstream and downstream relationships. The downstream site obtains the water level data of the upstream site through the self-organizing network. It should be noted that the upstream and downstream relationship refers to which station is upstream and which station is downstream, as well as the length of the river between the stations.

[0051] 3. The downstream station uses the water level data obtained from the upstream station to analyze and calculate the time and water level of the flood reaching the station.

[0052] 4. Analyze the threat of floods to the villages along the river where the site is installed based on the time and water level of the flood arrival, and determine the flooding risk of the villages along the river by comparing with the early warning indicators of the site installation location.

[0053] 5. Issue warnings to the villages along the river where the station is installed based on the warning judgment results.

[0054] It should be noted that the monitoring data and water level data refer to the water level collected regularly by the site, and the recorded content includes the water level value, collection time, and characteristic information of the site code.

[0055] Finally, it should be noted that the above content is only used to illustrate the technical solution of the present invention, rather than to limit the scope of protection of the present invention. Simple modifications or equivalent substitutions of the technical solution of the present invention by ordinary technicians in this field do not deviate from the essence and scope of the technical solution of the present invention.

Claims

1. A site cluster flood monitoring and early warning method, characterized in that: The following steps are involved: Step 1: deploy multiple water level monitoring stations along the river from upstream to downstream; Step 2: The downstream station actively obtains the water level data monitored by the upstream station, and calculates the flood rise rate and flood flow rate based on the water level data of the upstream station, measures the time when the flood arrives downstream and the flood level when it arrives, and then determines whether there is a risk of flooding residents along the river; Step 3: Send warning information based on the judgment result.

2. A site cluster flood monitoring and early warning method according to claim 1, characterized in that: The process of step 2 is: Step 21, obtaining water level data monitored by the two stations farthest and second farthest from the downstream station; Step 22, identifying the time when the flood passes through the two upstream stations according to the changes in the water level data of the two stations; Step 23, calculating the flood velocity according to the time it takes for the flood to pass through the two upstream stations; Step 24, calculating the flood water level when it reaches the current station based on the water levels when the flood passes through the two upstream stations; Step 25: Perform early warning judgment calculation based on flood flow velocity and flood water level, and analyze the flood risk of the downstream site; Step 26: Generate early warning information based on flood risk.

3. A site cluster flood monitoring and early warning method according to claim 2, characterized in that: The calculation process in step 24 is: the rising rate of the water level at the upstream station is taken as the water level rising rate of this station, and the starting and ending time of the water level rise at the upstream water level station is used as the time start and end points to calculate the rising duration as the rising duration of this station. The product of the rising rate and the rising duration is the future flood water level of this station.

4. A site cluster flood monitoring and early warning system, characterized in that: A site cluster flood monitoring and early warning method as described in any one of claims 1 to 3 is implemented on a site cluster flood monitoring and early warning system; The site cluster flood monitoring and early warning system includes a central platform and multiple water level monitoring stations that support self-organizing network communication. The water level data collected by all water level monitoring stations are transmitted to the central platform through the public network and then forwarded to other sites in the cluster, or the upstream site data is transmitted to the downstream site through the self-organizing network; The core component of the water level monitoring station is the telemetry terminal, which supports two communication modes: self-organizing network and public network. Both communication modes can obtain water level data from other water level monitoring stations and support the calculation of water level data.

5. A site cluster flood monitoring and early warning system according to claim 4, characterized in that: The telemetry terminal has the following features: Feature 1: Collect water level and store it locally; Feature 2: Supports communication in public network communication technology; Feature 3: Support communication in ad hoc network communication technology; Feature 4: It has the function of obtaining data collected by other telemetry terminals through 4G public network and ad hoc network; Feature 5: It has the function of calculating flood flow rate by combining water level data from multiple water level monitoring stations; Feature 6: It has the function of calculating the local flood rise by combining the water level rise of multiple stations; Feature 7: Ability to make early warning judgments based on upstream water levels; Feature 8: Ability to perform complex early warning judgment calculations based on water levels at multiple sites; Feature 9: Ability to make early warning judgments based on the water level collected by this station; Feature 10: It has the function of generating and publishing warning information based on the warning judgment results.

6. A site cluster flood monitoring and early warning system according to claim 5, characterized in that: The release method of the telemetry terminal includes sending text messages to designated mobile phone numbers, sending early warning messages to the platform through the public network, and sending early warning messages to other devices through the ad hoc network.

7. An application of a site cluster flood monitoring and early warning system, characterized in that: It comprises a site cluster flood monitoring and early warning system as described in claim 5 or 6, and the site cluster flood monitoring and early warning system is applied in a state where the public network is unobstructed and a state where there is no public network.

8. The application of a site cluster flood monitoring and early warning system according to claim 7, characterized in that: When the public network is unobstructed, the specific working process is as follows: Each site communicates with the central platform in real time and reports the monitored water level data regularly according to the set frequency; The central platform sets the upstream and downstream relationship of each station according to its upstream and downstream position in the river, and saves the monitoring data reported by each station according to the upstream and downstream relationship; Each site communicates with the platform regularly to obtain the monitored water levels of all sites upstream of the installation location; Analyze and calculate the time and water level of flood reaching this site using monitoring data from upstream sites; Analyze the threat of floods to the villages along the river at the current location based on the time and water level of the floods, and make early warning judgments based on the water level early warning indicators at the current location; Based on the warning judgment results, an early warning is issued to the villages along the river at the current location.

9. The application of a site cluster flood monitoring and early warning system according to claim 7, characterized in that: When there is no public network, the specific working process is as follows: Each station collects monitoring data regularly and caches it in the local machine. The station automatically determines whether the public network communication is unobstructed. When each station determines that the public network communication is interrupted, it actively communicates using the self-organizing network according to the set upstream and downstream relationships. The downstream station obtains the monitoring water level data of the upstream station through the self-organizing network. The downstream station uses the water level analysis obtained from the upstream station to calculate the time and water level of the flood peak reaching the station; Analyze the threat of floods to the villages along the river at the current location based on the time and water level of the flood peak, and make early warning judgments based on the early warning indicators at the current location; Based on the warning judgment results, an early warning is issued to the villages along the river at the current location.

10. The application of a site cluster flood monitoring and early warning system according to claim 8 or 9, characterized in that: The monitoring data and water level data both refer to the water levels collected regularly by the sites, and the recorded contents include the water level value, collection time, and characteristic information of the site code.

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