A site cluster flood monitoring and early warning method, system and application

Abstract

The present invention discloses a site cluster flood monitoring and early warning method, system and application, which relate to the field of data monitoring and early warning technology. The method includes deploying multiple water level monitoring stations along the river from upstream to downstream; the downstream station actively obtains the monitoring data of the upstream station, and calculates the flood rise rate and peak flow rate based on the monitoring data of the upstream station, 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; and sends early warning information to residents along the river based on the judgment result. The system includes a central platform, multiple self-organizing networks, multiple water level monitoring stations and telemetry terminals. It is applicable to both the state where the public network is unobstructed and the state where there is no public network. The present invention can independently complete the acquisition, analysis and early warning judgment of monitoring data; use the powerful function of edge computing to improve the computing power of the water level monitoring station, reduce the complexity and importance of the central platform, and improve the reliability of the entire system.

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 face of frequent extreme weather events, traditional telemetry terminals use 4G communications to send data to a central platform. Currently, the central platforms corresponding to telemetry terminals that support multiple transmissions per packet are deployed in provincial, municipal, and county administrative locations. Water conservancy departments are responsible for analyzing rainstorm and flood risks based on monitoring data and issuing warnings to towns and villages. However, during sudden downpours, communication interruptions often occur at outdoor rainfall monitoring stations. The inability to report monitoring data renders the platform's ability to determine and issue warnings based on rainfall conditions ineffective, missing the optimal warning opportunity. Therefore, it is necessary to design a flood monitoring and early warning method for site clusters based on edge computing and self-organizing network communications that can address existing issues and ensure the normal operation of early warning functions around the clock. 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 object, 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, multiple water level monitoring stations are deployed along the river from upstream to downstream; Step 2, downstream stations actively obtain monitoring data from upstream stations, and calculate the flood rise rate and flood flow rate based on the monitored water level of the upstream station, measure the time when the flood arrives downstream and the flood level at the time of arrival, and then judge whether there is a risk of flooding residents along the river; Step 3, early warning information is sent to residents along the river based on the judgment result.

[0006] Based on the above technical solution, further, the process of step 2 is: step 21, obtaining the water level data of the upstream site farthest and second farthest from the downstream site; step 22, identifying the time when the flood passes through the two upstream sites based on the changes in the water level data of the two sites; step 23, calculating the flood flow rate based on the time when the flood passes through the two upstream sites; step 24, calculating the flood water level when the flood arrives at this site based on the water level when the flood passes through the two upstream sites; step 25, performing early warning judgment calculations based on the flood flow rate and flood water level, and analyzing the flood risk at the downstream site; step 26, generating 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 that support self-organizing network communication. The water level data collected by all water level monitoring stations are transmitted to the central platform via a public network and then forwarded to other sites in the cluster, or upstream site data is transmitted to downstream sites via self-organizing networks. The core component of the water level monitoring station is a telemetry terminal, which supports both self-organizing network and public network communication modes. 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 features: 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 the 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 the 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 available and a state where 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 at a 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 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.

[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 regular intervals 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 obtained upstream site data to analyze and calculate the time and water level of the flood reaching the station; the threat of the flood to the villages along the river near the station 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 station installation location; based on the early warning judgment results, an early warning is issued to the villages along the river at the station installation location.

[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 monitoring data acquisition, analysis, and early warning judgment. The powerful function of edge computing is used to enhance the computing power of the water level monitoring station, reducing the complexity and importance of the central platform. Even in the event of communication interruption, the monitoring station can autonomously complete all tasks from data collection to early warning issuance, making the entire system more reliable.

[0016] (2) The present invention expands the communication capabilities of the telemetry terminal to support ad hoc networks such as LoRa, Wi-Fi, and Zigbee in addition to 4G communication, thus achieving dual-network communication between the public network and the ad hoc network. The central platform serves as a transfer station for monitoring data, receiving data from all stations in the basin and supporting each station to obtain monitoring data from other stations from the central platform. The central platform does not perform data analysis or early warning judgments, but instead places all data processing and early warning judgment functions in the telemetry terminal.

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

[0018] Figure 1Schematic diagram of the structure of the system of the present invention. DETAILED DESCRIPTION

[0019] The present invention will be further described and illustrated below with reference to the accompanying drawings and specific embodiments. The technical features of each embodiment of the present invention may be combined accordingly, provided that there is no conflict between them.

[0020] In order to make the above-mentioned objects, features and advantages of the present invention more clearly understood, the specific embodiments of the present invention are described in detail below with reference to 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 than 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 the various embodiments of the present invention can be combined accordingly without conflicting with each other.

[0021] In the description of the present invention, it should be understood that when an element is considered to be "connected" to another element, it can 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: Deploy 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 via public networks such as 4G and 5G. It should be noted that the central platform serves as a transfer station for monitoring data, receiving water level data from all water level monitoring stations in the basin and supporting each station in obtaining water level data from other stations from the central platform. The central platform does not perform data analysis or early warning judgments, and all data processing and early warning judgment functions are placed in the water level monitoring station. In other words, with the water level monitoring station's built-in powerful telemetry terminal as the core, by expanding the communication capabilities of the telemetry terminal, it supports ad hoc networks such as LoRa, Wi-Fi, and Zigbee on the basis of supporting 4G and 5G communications, realizing dual-network communication between the public network and the ad hoc network. It supports data transmission through the central platform and through the ad hoc network. The networking mode between the telemetry terminals is a mesh network, and any station can transmit data to each other.

[0026] 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.

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

[0028] Step 21: Obtain water level data of the upstream site that is the farthest and the second farthest from the downstream site. It should be noted that "farthest" refers to the farthest distance, and "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 at the two stations over a period of time, and calculate the time interval between the two upstream stations experiencing water level rise. It should be noted that this time interval is the time difference between the two stations detecting water level rise at each monitoring station.

[0030] Step 23: Calculate the flood velocity based on the time interval between the flooding of two upstream stations and the distance between the stations;

[0031] Step 24, calculate the flood level when it reaches 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, and calculate the rising duration as the rising duration of this station. The product of the rising rate and the rising duration can be used to obtain the possible flood level of this station.

[0032] Step 25: Calculate the time when the flood reaches the station based on the flood velocity. Compare the calculated flood water level at the time of arrival at the station with the inundation water level for residents in villages along the river to complete the early warning judgment calculation and determine the flood inundation risk for 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 via the telemetry terminal in the form of text messages, and to the central platform and surrounding warning devices in the form of messages.

[0035] Example 2

[0036] Combine Figure 1As shown, this embodiment provides a site cluster flood monitoring and early warning system, in which the site cluster flood monitoring and early warning method described in Example 1 is implemented. The system includes a central platform and multiple water level monitoring stations. Water level data collected by all water level monitoring stations can be transmitted between them via an ad hoc network. Furthermore, telemetry terminals, while supporting data transmission via ad hoc networks such as LoRa, Wi-Fi, and Zigbee, also transmit data to each other on the central platform via 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 from 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 this system communicate autonomously. Downstream stations proactively obtain water level data from all upstream stations, independently perform flood forecasting and analysis, and issue warnings to residents along the river. The system is suitable for rivers longer than 20 kilometers.

[0039] Example 3

[0040] This embodiment provides an application of a site cluster flood monitoring and early warning system, which is applicable to both a state where the 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 from all sites upstream of the installation location.

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

[0046] 5. Analyze the threat posed by floods to the villages along the river where the station is installed based on the time and water level of the flood arrival. Determine the flood risk warning judgment for the villages along the river based on the early warning indicators of the villages along the river where the station is installed. It should be noted that this early warning judgment is based on the early warning indicators, which are set according to the actual water level conditions when flooding the houses in the village.

[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 station 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 station obtains the water level data of the upstream station 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 when the flood reaches the station.

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

[0053] 5. Issue warnings to 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 characteristic information of the water level value, collection time, and 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 velocity based on the water level data of the upstream station. It also measures the time when the flood will arrive downstream and the flood level at the time of arrival, and then determines whether there is a risk of flooding residents along the river. Step 3: Send warning information based on the judgment result; The process of step 2 is as follows: Step 21: Obtain water level data monitored by the two stations farthest and second farthest from the downstream station; Step 22: Identify the time when the flood passes through the two upstream stations based on the changes in the water level data of the two stations; Step 23, calculating the flood velocity based on the time it takes for the flood to pass through the two upstream stations; Step 24: Calculate the flood 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 calculations based on flood velocity and flood level to analyze flood risks at downstream sites. Step 26: Generate early warning information based on flood risk.

2. A site cluster flood monitoring and early warning method according to claim 1, characterized in that: The calculation process in step 24 is: the water level rising rate at the upstream station is taken as the water level rising rate of this station, and the water level rising start and end time of the upstream water level station is used as the time start and end points to calculate the water level rising duration as the water level rising duration of this station. The product of the rising rate and the water level rising duration is the future flood water level of this station.

3. A site cluster flood monitoring and early warning system, characterized in that: A site cluster flood monitoring and early warning method according to any one of claims 1 to 2 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 is transmitted to the central platform through the public network and then forwarded to other sites in the cluster. Alternatively, upstream site data can be transmitted to downstream sites through self-organizing networks. 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 calculation of water level data.

4. A site cluster flood monitoring and early warning system according to claim 3, 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: Supports 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 and 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.

5. A site cluster flood monitoring and early warning system according to claim 4, 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 self-organizing network.

6. 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 4 or 5, 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.

7. The application of a site cluster flood monitoring and early warning system according to claim 6, 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 regularly communicates with the platform to obtain the monitored water levels of all sites upstream of the installation location; Analyze and calculate the time and water level of floodwater reaching this site using monitoring data from upstream sites; Analyze the threat of floods to villages along the river where the station is installed based on the arrival time and water level of the floods, and make early warning judgments based on the water level warning indicators at the station installation location; Based on the warning judgment results, an early warning will be issued to the villages along the river where the station is installed.

8. The application of a site cluster flood monitoring and early warning system according to claim 6, characterized in that: When there is no public network, the specific working process is as follows: Each site collects monitoring data regularly 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 will actively communicate using the self-organizing network according to the set upstream and downstream relationships. The downstream site will obtain the monitoring water level data of the upstream site 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 reaching the station; Analyze the threat of floods to villages along the river where the station is installed based on the arrival time and water level of the floods, and make early warning judgments based on the early warning indicators of the station installation location; Based on the warning judgment results, an early warning will be issued to the villages along the river where the station is installed.

9. Application of a site cluster flood monitoring and early warning system according to claim 7 or 8, characterized in that: The monitoring data and water level data mentioned above both refer to the water levels collected regularly by the stations, and the recorded contents include characteristic information of the water level value, collection time, and station code.

Images