Real-time water regimen mobile acquisition system

Abstract

The invention discloses a real-time water regimen mobile acquisition system, and relates to the technical field of water regimen mobile acquisition, the real-time water regimen mobile acquisition system comprises a data acquisition module, a multimode communication module, an edge control module, a breakpoint transmission module and a dynamic early warning module, three transmission modes of satellite communication, NB-IoT cellular network and Mesh communication are integrated, a comprehensive communication value is calculated through a dynamic weight algorithm, and the real-time water regimen mobile acquisition system is established. According to the comprehensive communication value, professional related personnel are dispatched to carry out first-aid repair, the communication survival rate is kept, the water level, rainfall, flow velocity and historical data are fused, the bandwidth allocation strategy of the multi-mode communication module is adjusted based on the dynamic predicted value, risk grading response is achieved, and the breakpoint transmission module recovers multi-mode communication from the breakpoint position according to the comprehensive communication value. And the dynamic early warning module performs dynamic judgment and early warning through a water level signal A, a rainfall signal B and a water flow rate signal C, and sends a corresponding early warning notification to the crowd in the related target area, so that the reliability of the system is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of mobile water regime acquisition, and particularly to a real-time mobile water regime acquisition system. Background Art

[0002] The real-time water regime acquisition system has achieved a revolutionary breakthrough in the field of hydrological monitoring by integrating advanced sensors, Internet of Things communication, edge computing, and big data analysis technologies. However, in harsh environments such as areas with weak communication infrastructure like the Yellow River Reservoir, when public network communication is interrupted due to extreme weather, the traditional satellite communication link has a reconnection delay of 15 - 30 minutes, which is difficult to meet the timeliness requirements of sudden flood warnings. Moreover, the traditional data transmission mechanism lacks the function of resuming data transmission from the breakpoint. After the communication is restored, it is necessary to completely retransmit historical data, further exacerbating the response delay, resulting in a lag in the flood discharge warning of the Yellow River Reservoir and seriously threatening the safety of the downstream. Summary of the Invention

[0003] In view of the above situation, the present invention can accurately achieve risk - graded response and resume multimode communication from the breakpoint position according to the comprehensive communication value, improving the communication efficiency of breakpoint recovery.

[0004] The technical solution it adopts is as follows: It includes a data acquisition module, a multimode communication module, an edge control module, a breakpoint transmission module, and a dynamic warning module. The data acquisition module continuously acquires the water level signal A, rainfall signal B, and water flow velocity signal C of the reservoir in real time. The multimode communication module integrates three transmission methods: satellite communication, NB - IoT cellular network, and Mesh communication, and supports dynamic link switching. The edge control module calculates the dynamic prediction value and adjusts the bandwidth allocation strategy of the multimode communication module based on the dynamic prediction value. The breakpoint transmission module resumes multimode communication according to the comprehensive communication value and performs hierarchical hash verification on data blocks. The dynamic warning module dynamically judges warnings through the water level signal A, rainfall signal B, and water flow velocity signal C, and sends corresponding warning notifications to the people in relevant target areas.

[0005] Furthermore, the working steps of the multimode communication module are specifically as follows: 2 - 1. Collect the Beidou short message signal strength D1 and transmission delay D2 of satellite communication, the base station signal strength E1 and network congestion rate E2 of the NB - IoT cellular network, and the adjacent node connection hop count H1 and signal - to - noise ratio H2 of Mesh communication. 2 - 2. Calculate the communication value D3 of satellite communication, D3 = D11×0.6 + D21×0.4, where when D1 is less than - 125 dBm, D11 takes 0, otherwise D11 takes 1; when D2 is greater than 30 seconds, D21 takes 0, otherwise D21 takes 1. Calculate the communication value E3 of the NB-IoT cellular network, E3 = E11 × 0.7 + E21 × 0.3, where when E1 is less than -110dBm, E11 is 0, otherwise, E11 is 1; when E2 is greater than 15%, E21 is 0, otherwise, E21 is 1; Calculate the communication value H3 of Mesh communication, H3= H11×0.4+H21×0.6, where when H1 is greater than 3, H11 is 0, otherwise, H11 is 1; when H2 is less than 20dB, H21 is 0, otherwise, H21 is 1; 2-3, calculate the comprehensive communication value W, W=D3×0.5+E3×0.3+H3×0.2, W is greater than 0.8, it means that the multi-mode communication is normal, otherwise it means that the multi-mode communication is interrupted.

[0006] Furthermore, the edge control module includes a data segmentation module, a dynamic prediction module and a dynamic adjustment module. The data segmentation module divides the data signal sent by the data acquisition module into independent data blocks every 5 minutes, and each block is attached with a timestamp T, a hash identifier S and a priority identifier Y, wherein the water level change rate is greater than or equal to 5 cm / min, Y indicates the first priority, the rainfall is greater than or equal to 50 mm / h, Y indicates the second priority, and the rest is regarded as conventional monitoring data, Y indicates the third priority; The dynamic prediction module records the water level signal A, rainfall signal B, and water flow rate signal C of the reservoir in real time, and extracts the corresponding flood limit water level A1 and the historical mean value C1 of water flow rate in the same period from the database to calculate the dynamic prediction value M; The dynamic adjustment module adjusts the bandwidth allocation strategy of the multi-mode communication module based on the dynamic prediction value M.

[0007] Further, the dynamic prediction module calculates the dynamic prediction value M, M=Y1×0.6+A2×0.3+C2×0.1, wherein when Y is the first priority, Y1 is 1, Y is the second priority, Y1 is 0.7, Y is the third priority, Y1 is 0.3, the water level signal A is less than or equal to 70% of the flood limit water level A1, A2 is 0.2, the water level signal A is greater than 70% and less than or equal to 80% of the flood limit water level A1, A2 is 0.6, the water level signal A is greater than 80% of the flood limit water level A1, A2 is 1, when C2 is greater than the historical average value C1 of the water flow velocity during the same period, C2 is 1, and when C2 is less than or equal to the historical average value C1 of the water flow velocity during the same period, C2 is 0.

[0008] Further, the dynamic adjustment module adjusts the bandwidth allocation strategy of the multi-mode communication module based on the dynamic prediction value M. If M is greater than or equal to 0.8, it indicates high risk. The proportion of satellite communication bandwidth is adjusted to 80%, the data transmission of the first priority is prioritized, the data transmission of the third priority is forcibly interrupted, and the NB-IoT cellular network and the Mesh communication network suspend the data transmission of non-first priority. M is greater than or equal to 0.6 and less than 0.8, indicating medium risk. The satellite communication bandwidth is adjusted to 50%, the NB-IoT cellular network to 30%, and the Mesh communication network to 20%; M is less than 0.6, indicating low risk. By default, NB-IoT cellular network transmission is used, with bandwidth accounting for 70%. The Mesh communication network asynchronously retransmits historical data, and satellite communication enters deep sleep mode.

[0009] Further, the working steps of the breakpoint transmission module are as follows: 6-1, W is greater than 0.8, when the multi-mode communication is normal, the corresponding data block in the buffer area of the multi-mode communication is deleted, and the multi-mode communication transmits data normally. On the contrary, when the multi-mode communication is interrupted, the breakpoint position is recorded, and the data block is temporarily stored in the corresponding buffer area; 6-2, when W is less than or equal to 0.8 and greater than 0.6, it means that the multi-mode communication is abnormal and controllable, and the relevant personnel are notified to investigate the cause of the fault. When W is less than or equal to 0.6, it means that the multi-mode communication is paralyzed, and the relevant personnel are notified of the communication warning, and professional relevant personnel are immediately dispatched for emergency repair. After the communication is restored, proceed to the next step; 6-3. Restore multi-mode communication from the breakpoint according to timestamp T, and verify the data blocks step by step through hash identifier S. When the hash verification fails, trigger retransmission of the breakpoint until it succeeds. After the transmission is completed, clear the local cache, and clear the data blocks from the third priority to the first priority in turn.

[0010] Further, the dynamic warning module works specifically as follows: When the water flow rate signal C is greater than the historical average value of water flow rate C1, the third-level warning is activated, and the Mesh communication is controlled to broadcast periodically to the people in the relevant target area once every 5 minutes; When the rainfall signal B is greater than 50 mm / h for 30 minutes, the second-level warning is activated, and the NB-IoT cellular network is controlled to send emergency SMS notifications to people in the relevant target areas; When the water level signal A is greater than 90% of the flood limit water level A1, the first-level warning is activated, and the satellite communication is controlled to send a Beidou short message to broadcast to the people in the relevant target area.

[0011] Furthermore, the adjacent timestamps TL and water level signal AL corresponding to the water level signal A are extracted, and then the difference AL1 between A and AL and the difference TL1 between T and TL are calculated. The ratio of AL1 to TL1 is used to obtain the water level change rate.

[0012] Due to the adoption of the above technical solution, the present invention has the following advantages compared with the prior art: 1. Integrate three transmission methods: satellite communication, NB-IoT cellular network, and Mesh communication. Calculate the comprehensive communication value through the dynamic weight algorithm, dispatch professional relevant personnel for emergency repair according to the comprehensive communication value, maintain the communication survival rate, integrate water level, rainfall, flow velocity, and historical data, and adjust the bandwidth allocation strategy of the multimode communication module based on the dynamic prediction value to achieve risk classification response; 2. The breakpoint transmission module restores multimode communication from the breakpoint position according to the comprehensive communication value and performs hierarchical hash verification on data blocks, improving the communication efficiency of breakpoint recovery. The dynamic warning module dynamically judges warnings through water level signal A, rainfall signal B, and water flow velocity signal C, and sends corresponding warning notifications to the people in relevant target areas, improving the reliability of the system. Description of the Drawings

[0013] Figure 1 It is a flowchart of the real-time water condition mobile acquisition system of the present invention.

[0014] Figure 2 It is a flowchart of the edge control module in the real-time water condition mobile acquisition system of the present invention. Detailed Embodiments

[0015] Regarding the foregoing and other technical contents, features, and effects of the present invention, they will be clearly presented in the following detailed description of the embodiments in conjunction with the attached Figures 1 to 2 drawings. The structural contents mentioned in the following embodiments are all referenced to the drawings of the specification.

[0016] Embodiment 1. On the basis of the prior art, to solve the problem of relying on a single communication link, when the public network communication is interrupted due to extreme weather, data loss or delay occurs, and full-scale retransmission is required after communication recovery, resulting in low efficiency. Specifically, it includes a data acquisition module, a multimode communication module, an edge control module, a breakpoint transmission module, and a dynamic warning module. The data acquisition module real-time collects the water level signal A, rainfall signal B, and water flow velocity signal C of the reservoir; The multimode communication module integrates three transmission methods: satellite communication, NB-IoT cellular network, and Mesh communication, and supports dynamic link switching; The edge control module calculates the dynamic prediction value and adjusts the bandwidth allocation strategy of the multimode communication module based on the dynamic prediction value; The breakpoint transmission module restores multimode communication according to the comprehensive communication value and performs hierarchical hash verification on data blocks; The dynamic warning module dynamically judges warnings through the water level signal A, rainfall signal B, and water flow velocity signal C, and sends corresponding warning notifications to the people in relevant target areas.

[0017] Embodiment 2. On the basis of the prior art, the working steps of the multimode communication module are specifically as follows; 2-1, collect the Beidou short message signal strength D1 and transmission delay D2 of satellite communication, the base station signal strength E1 and network congestion rate E2 of NB-IoT cellular network, the number of connected hops H1 and signal-to-noise ratio H2 of adjacent nodes of Mesh communication; 2-2, calculate the communication value D3 of satellite communication, D3=D11×0.6+D21×0.4, where D1 is 0 when D1 is less than -125dBm, otherwise D11 is 1, and D21 is 0 when D2 is greater than 30 seconds, otherwise D21 is 1; Calculate the communication value E3 of the NB-IoT cellular network, E3 = E11 × 0.7 + E21 × 0.3, where when E1 is less than -110dBm, E11 is 0, otherwise, E11 is 1; when E2 is greater than 15%, E21 is 0, otherwise, E21 is 1; Calculate the communication value H3 of Mesh communication, H3= H11×0.4+H21×0.6, where when H1 is greater than 3, H11 is 0, otherwise, H11 is 1; when H2 is less than 20dB, H21 is 0, otherwise, H21 is 1; 2-3, calculate the comprehensive communication value W, W=D3×0.5+E3×0.3+H3×0.2, W is greater than 0.8, it means that the multi-mode communication is normal, otherwise it means that the multi-mode communication is interrupted.

[0018] Embodiment 3, based on the prior art, the edge control module includes a data segmentation module, a dynamic prediction module and a dynamic adjustment module, the data segmentation module divides the data signal sent by the data acquisition module into independent data blocks every 5 minutes, and each block is attached with a timestamp T, a hash identifier S and a priority identifier Y, wherein the water level change rate is greater than or equal to 5cm / min, Y represents the first priority, the rainfall is greater than or equal to 50mm / h, Y represents the second priority, and the rest is regarded as conventional monitoring data, Y represents the third priority; The dynamic prediction module records the water level signal A, rainfall signal B, and water flow rate signal C of the reservoir in real time, and extracts the corresponding flood limit water level A1 and the historical mean value C1 of water flow rate in the same period from the database to calculate the dynamic prediction value M; The dynamic adjustment module adjusts the bandwidth allocation strategy of the multi-mode communication module based on the dynamic prediction value M.

[0019] Further, the dynamic prediction module calculates the dynamic prediction value M, M=Y1×0.6+A2×0.3+C2×0.1, wherein when Y is the first priority, Y1 is 1, Y is the second priority, Y1 is 0.7, Y is the third priority, Y1 is 0.3, the water level signal A is less than or equal to 70% of the flood limit water level A1, A2 is 0.2, the water level signal A is greater than 70% and less than or equal to 80% of the flood limit water level A1, A2 is 0.6, the water level signal A is greater than 80% of the flood limit water level A1, A2 is 1, when C2 is greater than the historical average value C1 of the water flow velocity during the same period, C2 is 1, and when C2 is less than or equal to the historical average value C1 of the water flow velocity during the same period, C2 is 0.

[0020] Embodiment 4, based on the prior art, the dynamic adjustment module adjusts the bandwidth allocation strategy of the multi-mode communication module based on the dynamic prediction value M, M is greater than or equal to 0.8, indicating high risk, and adjusts the satellite communication bandwidth ratio to 80%, prioritizes the first priority data transmission, and forcibly interrupts the third priority data transmission. The NB-IoT cellular network and the Mesh communication network suspend non-first priority data transmission; M is greater than or equal to 0.6 and less than 0.8, indicating medium risk. The satellite communication bandwidth is adjusted to 50%, the NB-IoT cellular network to 30%, and the Mesh communication network to 20%; M is less than 0.6, indicating low risk. By default, NB-IoT cellular network transmission is used, with bandwidth accounting for 70%. The Mesh communication network asynchronously retransmits historical data, and satellite communication enters deep sleep mode.

[0021] Embodiment 5, based on the prior art, the working steps of the breakpoint transmission module are as follows: 6-1, W is greater than 0.8, when the multi-mode communication is normal, the corresponding data block in the buffer area of the multi-mode communication is deleted, and the multi-mode communication transmits data normally. On the contrary, when the multi-mode communication is interrupted, the breakpoint position is recorded, and the data block is temporarily stored in the corresponding buffer area; 6-2, when W is less than or equal to 0.8 and greater than 0.6, it means that the multi-mode communication is abnormal and controllable, and the relevant personnel are notified to investigate the cause of the fault. When W is less than or equal to 0.6, it means that the multi-mode communication is paralyzed, and the relevant personnel are notified of the communication warning, and professional relevant personnel are immediately dispatched for emergency repair. After the communication is restored, proceed to the next step; 6-3. Restore multi-mode communication from the breakpoint according to timestamp T, and verify the data blocks step by step through hash identifier S. When the hash verification fails, trigger retransmission of the breakpoint until it succeeds. After the transmission is completed, clear the local cache, and clear the data blocks from the third priority to the first priority in turn.

[0022] Further, the dynamic warning module works specifically as follows: When the water flow rate signal C is greater than the historical average value of water flow rate C1, the third-level warning is activated, and the Mesh communication is controlled to broadcast periodically to the people in the relevant target area once every 5 minutes; When the rainfall signal B is greater than 50 mm / h for 30 minutes, the second-level warning is activated, and the NB-IoT cellular network is controlled to send emergency SMS notifications to people in the relevant target areas; When the water level signal A is greater than 90% of the flood limit water level A1, the first-level warning is activated, and the satellite communication is controlled to send a Beidou short message to broadcast to the people in the relevant target area.

[0023] Furthermore, the adjacent timestamps TL and water level signal AL corresponding to the water level signal A are extracted, and then the difference AL1 between A and AL and the difference TL1 between T and TL are calculated. The ratio of AL1 to TL1 is used to obtain the water level change rate.

[0024] When the present invention is used specifically, based on the prior art, the working steps of the multi-mode communication module are as follows: 2-1, collect the Beidou short message signal strength D1 and transmission delay D2 of satellite communication, the base station signal strength E1 and network congestion rate E2 of NB-IoT cellular network, the number of connected hops H1 and signal-to-noise ratio H2 of adjacent nodes of Mesh communication; 2-2, calculate the communication value D3 of satellite communication, D3=D11×0.6+D21×0.4, where D1 is 0 when D1 is less than -125dBm, otherwise D11 is 1, and D21 is 0 when D2 is greater than 30 seconds, otherwise D21 is 1; Calculate the communication value E3 of the NB-IoT cellular network, E3 = E11 × 0.7 + E21 × 0.3, where when E1 is less than -110dBm, E11 is 0, otherwise, E11 is 1; when E2 is greater than 15%, E21 is 0, otherwise, E21 is 1; Calculate the communication value H3 of Mesh communication, H3= H11×0.4+H21×0.6, where when H1 is greater than 3, H11 is 0, otherwise, H11 is 1; when H2 is less than 20dB, H21 is 0, otherwise, H21 is 1; 2-3, calculate the comprehensive communication value W, W=D3×0.5+E3×0.3+H3×0.2, W is greater than 0.8, it means that the multi-mode communication is normal, otherwise it means that the multi-mode communication is interrupted.

[0025] The edge control module includes a data segmentation module, a dynamic prediction module and a dynamic adjustment module. The data segmentation module divides the data signal sent by the data acquisition module into independent data blocks every 5 minutes, and each block is attached with a timestamp T, a hash identifier S and a priority identifier Y. If the water level change rate is greater than or equal to 5 cm / min, Y indicates the first priority, if the rainfall is greater than or equal to 50 mm / h, Y indicates the second priority, and the rest is regarded as conventional monitoring data, Y indicates the third priority; The dynamic prediction module records the water level signal A, rainfall signal B, and water flow rate signal C of the reservoir in real time, and extracts the corresponding flood limit water level A1 and the historical mean value C1 of water flow rate in the same period from the database to calculate the dynamic prediction value M; The dynamic adjustment module adjusts the bandwidth allocation strategy of the multi-mode communication module based on the dynamic prediction value M.

[0026] The dynamic adjustment module adjusts the bandwidth allocation strategy of the multi-mode communication module based on the dynamic prediction value M. M is greater than or equal to 0.8, indicating high risk. The satellite communication bandwidth ratio is adjusted to 80%, the first priority data transmission is prioritized, the third priority data transmission is forcibly interrupted, and the NB-IoT cellular network and Mesh communication network suspend non-first priority data transmission; M is greater than or equal to 0.6 and less than 0.8, indicating medium risk. The satellite communication bandwidth is adjusted to 50%, the NB-IoT cellular network to 30%, and the Mesh communication network to 20%; M is less than 0.6, indicating low risk. By default, NB-IoT cellular network transmission is used, with bandwidth accounting for 70%. The Mesh communication network asynchronously retransmits historical data, and satellite communication enters deep sleep mode.

[0027] The working steps of the breakpoint transmission module are as follows: 6-1, W is greater than 0.8, when the multi-mode communication is normal, the corresponding data block in the buffer area of the multi-mode communication is deleted, and the multi-mode communication transmits data normally. On the contrary, when the multi-mode communication is interrupted, the breakpoint position is recorded, and the data block is temporarily stored in the corresponding buffer area; 6-2, when W is less than or equal to 0.8 and greater than 0.6, it means that the multi-mode communication is abnormal and controllable, and the relevant personnel are notified to investigate the cause of the fault. When W is less than or equal to 0.6, it means that the multi-mode communication is paralyzed, and the relevant personnel are notified of the communication warning, and professional relevant personnel are immediately dispatched for emergency repair. After the communication is restored, proceed to the next step; 6-3. Restore multi-mode communication from the breakpoint according to timestamp T, and verify the data blocks step by step through hash identifier S. When the hash verification fails, trigger retransmission of the breakpoint until it succeeds. After the transmission is completed, clear the local cache, and clear the data blocks from the third priority to the first priority in turn.

[0028] The dynamic early warning module works as follows: When the water flow rate signal C is greater than the historical average value of water flow rate C1, the third-level warning is activated, and the Mesh communication is controlled to broadcast periodically to the people in the relevant target area once every 5 minutes; When the rainfall signal B is greater than 50 mm / h for 30 minutes, the second-level warning is activated, and the NB-IoT cellular network is controlled to send emergency SMS notifications to people in the relevant target areas; When the water level signal A is greater than 90% of the flood limit water level A1, the first-level warning is activated, and the satellite communication is controlled to send a Beidou short message to the relevant target area. By adopting the above method, the risk classification response can be accurately achieved, and multi-mode communication can be restored from the breakpoint position according to the comprehensive communication value, which improves the efficiency of breakpoint recovery communication.

[0029] The above is a further detailed description of the present invention in combination with a specific implementation method, and it cannot be determined that the specific implementation of the present invention is limited to this; for technical personnel in the technical field to which the present invention belongs and related technical fields, based on the technical solution of the present invention, the expansion and replacement of operating methods and data should all fall within the protection scope of the present invention.

Claims

1. A real-time water regime mobile acquisition system, characterized in that, It includes data acquisition module, multi-mode communication module, edge control module, breakpoint transmission module and dynamic warning module. The data acquisition module collects the water level signal A, rainfall signal B, and water flow rate signal C of the reservoir in real time; The multi-mode communication module integrates three transmission modes: satellite communication, NB-IoT cellular network, and Mesh communication, and supports dynamic link switching; The edge control module calculates a dynamic prediction value and adjusts a bandwidth allocation strategy of the multi-mode communication module based on the dynamic prediction value; The breakpoint transmission module restores the multi-mode communication according to the comprehensive communication value and performs hash verification on the data blocks step by step; The dynamic warning module dynamically judges and warns through water level signal A, rainfall signal B, and water flow rate signal C, and sends corresponding warning notifications to people in relevant target areas.

2. The real-time water regime mobile acquisition system according to claim 1, characterized in that The working steps of the multi-mode communication module are as follows: 2-1, collect the Beidou short message signal strength D1 and transmission delay D2 of satellite communication, the base station signal strength E1 and network congestion rate E2 of NB-IoT cellular network, the number of connected hops H1 and signal-to-noise ratio H2 of adjacent nodes of Mesh communication; 2-2, calculate the communication value D3 of satellite communication, D3=D11×0.6+D21×0.4, where D1 is 0 when D1 is less than -125dBm, otherwise D11 is 1, and D21 is 0 when D2 is greater than 30 seconds, otherwise D21 is 1; Calculate the communication value E3 of the NB-IoT cellular network, E3 = E11 × 0.7 + E21 × 0.3, where when E1 is less than -110dBm, E11 is 0, otherwise, E11 is 1; when E2 is greater than 15%, E21 is 0, otherwise, E21 is 1; Calculate the communication value H3 of Mesh communication, H3= H11×0.4+H21×0.6, where when H1 is greater than 3, H11 is 0, otherwise, H11 is 1; when H2 is less than 20dB, H21 is 0, otherwise, H21 is 1; 2-3, calculate the comprehensive communication value W, W=D3×0.5+E3×0.3+H3×0.2, W is greater than 0.8, it means that the multi-mode communication is normal, otherwise it means that the multi-mode communication is interrupted.

3. The real-time water regime mobile acquisition system according to claim 2, wherein, The edge control module includes a data segmentation module, a dynamic prediction module and a dynamic adjustment module. The data segmentation module divides the data signal sent by the data acquisition module into independent data blocks every 5 minutes, and each block is attached with a timestamp T, a hash identifier S and a priority identifier Y. If the water level change rate is greater than or equal to 5 cm / min, Y indicates the first priority, if the rainfall is greater than or equal to 50 mm / h, Y indicates the second priority, and the rest is regarded as conventional monitoring data, Y indicates the third priority; The dynamic prediction module records the water level signal A, rainfall signal B, and water flow rate signal C of the reservoir in real time, and extracts the corresponding flood limit water level A1 and the historical mean value C1 of water flow rate in the same period from the database to calculate the dynamic prediction value M; The dynamic adjustment module adjusts the bandwidth allocation strategy of the multi-mode communication module based on the dynamic prediction value M.

4. The real-time water regime mobile acquisition system according to claim 3, wherein The dynamic prediction module calculates the dynamic prediction value M, M=Y1×0.6+A2×0.3+C2×0.1, wherein when Y is the first priority, Y1 is 1, Y is the second priority, Y1 is 0.7, Y is the third priority, Y1 is 0.3, the water level signal A is less than or equal to 70% of the flood limit water level A1, A2 is 0.2, the water level signal A is greater than 70% and less than or equal to 80% of the flood limit water level A1, A2 is 0.6, the water level signal A is greater than 80% of the flood limit water level A1, A2 is 1, when C2 is greater than the historical average value C1 of the water flow velocity during the same period, C2 is 1, and when C2 is less than or equal to the historical average value C1 of the water flow velocity during the same period, C2 is 0.

5. The real-time water regime mobile acquisition system according to claim 4, wherein, The dynamic adjustment module adjusts the bandwidth allocation strategy of the multi-mode communication module based on the dynamic prediction value M. M is greater than or equal to 0.8, indicating high risk. The satellite communication bandwidth ratio is adjusted to 80%, the first priority data transmission is prioritized, the third priority data transmission is forcibly interrupted, and the NB-IoT cellular network and Mesh communication network suspend non-first priority data transmission; M is greater than or equal to 0.6 and less than 0.8, indicating medium risk. The satellite communication bandwidth is adjusted to 50%, the NB-IoT cellular network to 30%, and the Mesh communication network to 20%; M is less than 0.6, indicating low risk. By default, NB-IoT cellular network transmission is used, with bandwidth accounting for 70%. The Mesh communication network asynchronously retransmits historical data, and satellite communication enters deep sleep mode.

6. The real-time water regime mobile acquisition system according to any one of claims 3-5, characterized in that, The working steps of the breakpoint transmission module are as follows: 6-1, W is greater than 0.8, when the multi-mode communication is normal, the corresponding data block in the buffer area of the multi-mode communication is deleted, and the multi-mode communication transmits data normally. On the contrary, when the multi-mode communication is interrupted, the breakpoint position is recorded, and the data block is temporarily stored in the corresponding buffer area; 6-2, when W is less than or equal to 0.8 and greater than 0.6, it means that the multi-mode communication is abnormal and controllable, and the relevant personnel are notified to investigate the cause of the fault. When W is less than or equal to 0.6, it means that the multi-mode communication is paralyzed, and the relevant personnel are notified of the communication warning, and professional relevant personnel are immediately dispatched for emergency repair. After the communication is restored, proceed to the next step; 6-3. Restore multi-mode communication from the breakpoint according to timestamp T, and verify the data blocks step by step through hash identifier S. When the hash verification fails, trigger retransmission of the breakpoint until it succeeds. After the transmission is completed, clear the local cache, and clear the data blocks from the third priority to the first priority in turn.

7. The real-time water regime mobile acquisition system according to claim 6, wherein, The dynamic early warning module works as follows: When the water flow rate signal C is greater than the historical average value of water flow rate C1, the third-level warning is activated, and the Mesh communication is controlled to broadcast periodically to the people in the relevant target area once every 5 minutes; When the rainfall signal B is greater than 50 mm / h for 30 minutes, the second-level warning is activated, and the NB-IoT cellular network is controlled to send emergency SMS notifications to people in the relevant target areas; When the water level signal A is greater than 90% of the flood limit water level A1, the first-level warning is activated, and the satellite communication is controlled to send a Beidou short message to broadcast to the people in the relevant target area.

8. The real-time water regime mobile acquisition system according to claim 3, wherein, Extract the adjacent timestamps TL and water level signal AL corresponding to the water level signal A, then calculate the difference AL1 between A and AL, the difference TL1 between T and TL, and obtain the water level change rate by taking the ratio of AL1 to TL1.

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