Unattended mountain torrent outbreak early warning device based on LFMCW radar

Abstract

An unattended mountain torrent outbreak early warning device based on an LFMCW radar is characterized in that a solar cell panel, a storage battery pack and a solar controller are connected with a power supply module; the LFMCW radar sensor, the signal processing module, the waveform generation module, the DSP core circuit, the temperature module, the 485 communication module, the power supply module and the 4G data transmission terminal module are installed on the vertical rod cross beam side close to the upstream embankment of the mountain river channel. The storage battery pack and the solar controller are mounted in an equipment box close to the middle of an upstream embankment vertical rod of a mountainous river channel; the upper computer and the monitoring platform are installed in a far-end machine room and communicate with the 4G data transmission terminal module through a 4G network. And the 4G broadcast alarm terminal is close to the middle part of a vertical rod of an early warning area of the middle and lower stream embankment of the mountainous river channel, and receives early warning information sent by the monitoring platform through a 4G network. According to the utility model, the unattended mountain torrent outbreak early warning function is realized.

Description

Technical Field

[0001] This utility model belongs to the field of water conservancy safety technology and relates to an unmanned flash flood early warning device based on LFMCW radar. Background Technology

[0002] With the development of the national economy and the increase in national income, tourism has become an important form of leisure for people. Among these, mountain tourism is increasingly favored and participated in by more and more people. Playing in rivers or streams while touring mountainous areas has also become a common activity. However, in recent years, due to global climate change, extreme weather events in mountainous areas have become more frequent. A common occurrence is heavy rainfall in localized areas within a short period, especially in the upper reaches of mountain rivers. This can lead to sudden flash floods. People playing in the middle and lower reaches of the river, where there has been no rainfall and the water level and flow rate have not changed significantly, may remain in the river and fail to evacuate. Once a flash flood occurs, the river water rises rapidly and the flow becomes increasingly fast. This can prevent people stranded in the river from evacuating in time, leaving them trapped. In severe cases, flash floods can also lead to people falling into the water and drowning, causing personal injury.

[0003] Due to insufficient accuracy and timeliness in forecasting localized rainfall in mountainous areas, the current approach to addressing the rapid rise in river levels caused by flash floods primarily relies on manual observation and assessment. On one hand, limited human resources make it impossible to assign dedicated personnel to conduct real-time monitoring of mountain rivers, resulting in poor timeliness and hindering the timely dissemination of warnings to tourists. On the other hand, identifying unusual changes before a flash flood requires experienced personnel, and misjudgments could lead to irreparable losses. Summary of the Invention

[0004] To address the current situation where the problem of rising river levels caused by flash floods in mountainous areas mainly relies on manual observation and judgment, this utility model provides an unattended flash flood early warning device. It automatically and accurately measures the river water level and flow velocity, and issues early warning information in a timely manner based on the measurement results, thereby realizing the automatic monitoring and early warning function for flash floods in mountainous rivers.

[0005] To solve the above-mentioned technical problems, this utility model provides the following technical solution:

[0006] An unattended flash flood early warning device based on LFMCW radar includes an LFMCW radar sensor, a signal processing module, a waveform generation module, a DSP core circuit, a temperature module, a 485 communication module, a 4G data transmission terminal module, a host computer and monitoring platform, a 4G broadcast alarm terminal, a solar panel, a battery pack, a solar controller, and a power supply module. The power supply module is connected to the LFMCW radar sensor, signal processing module, waveform generation module, DSP core circuit, temperature module, and 4G data transmission terminal module, and provides power to these components. The pool plate, battery pack, solar controller, and power module are connected to provide power to the power module. The LFMCW radar sensor, signal processing module, waveform generation module, DSP core circuit, temperature module, 485 communication module, power module, and 4G data transmission terminal module are installed on the side of the pole beam near the upstream embankment of the mountain river. The battery pack and solar controller are installed in the equipment box in the middle of the pole near the upstream embankment of the mountain river. The host computer and monitoring platform are installed in a remote computer room and communicate with the 4G data transmission terminal module through a 4G network. The 4G broadcast alarm terminal is installed in the middle of the pole near the warning area in the middle and lower reaches of the mountain river and receives warning information from the monitoring platform through a 4G network.

[0007] This invention uses LFMCW radar to transmit and receive modulated triangular waves, and obtains the frequency difference between the two through frequency mixing, thereby calculating the real-time water level and flow velocity of mountain rivers. The data is then transmitted to a monitoring platform via a 4G network. After processing, the monitoring platform generates early warning information for flash floods and transmits it to a 4G broadcast alarm terminal via the 4G network to issue an early warning, thus realizing an unattended flash flood early warning function.

[0008] The LFMCW radar sensor is connected to the waveform generation module and is used to receive the triangular wave generated by the waveform generation module and modulate it into a continuous high-frequency radar wave with the frequency changing according to the modulated waveform, which is then transmitted to the water surface. The LFMCW radar sensor is also connected to the signal processing module, which mixes the echo radar signal reflected from the water surface with the transmitted signal to obtain a difference frequency signal, and sends it to the signal processing module for further processing.

[0009] Furthermore, the LFMCW radar sensor includes a transmitting antenna, a receiving antenna, a mixer, a voltage-controlled oscillator (VCO), and a low-noise amplifier (LNA). One end of the transmitting antenna is connected to the VCO to receive the high-frequency signal generated by the VCO and transmit the high-frequency signal towards the water surface. The receiving antenna receives the echo signal reflected back after being transmitted towards the water surface by the transmitting antenna, and one end is connected to the LNA to amplify the received high-frequency signal. The mixer mixes the high-frequency transmitted signal from the transmitting path with the echo signal from the receiving path to obtain the difference frequency signal between the two. The high-frequency transmitted signal on one channel is phase-shifted by 90 degrees, and the difference frequency signals output by the two mixers are orthogonal.

[0010] Preferably, the LFMCW radar sensor is an Innosent IVS-179 radar sensor.

[0011] Furthermore, the signal processing module includes a high-pass filter, a variable gain amplifier, and a low-pass filter. One end of the signal processing module is connected to the radar sensor, receiving the two difference frequency signals after mixing from the LFMCW radar sensor. A TLV2374 operational amplifier is used to construct a multi-path feedback second-order filter circuit to implement the high-pass filter function, filtering out the triangular wave leakage in the difference frequency signal. The variable gain amplifier is a circuit composed of an AD603 operational amplifier and an ADOP37 precision operational amplifier to amplify the signal. The low-pass filter uses an AD8532 operational amplifier to construct a multi-path feedback second-order filter circuit to filter out the high-frequency noise carried by the input signal itself and the high-frequency noise generated by the intermediate frequency signal processing module, and to prepare for subsequent ADC sampling.

[0012] The waveform generation module includes a DDS triangular wave generator, a cascaded amplifier circuit, and a low-pass filter. The DDS triangular wave generator uses a dedicated signal generator AD9833 to generate the required triangular wave, and one end is connected to the serial peripheral interface (SPI) of the DSP, which controls the DDS signal output. The cascaded amplifier circuit uses two operational amplifiers AD603 arranged in a sequential cascade mode to improve signal control accuracy and signal-to-noise ratio. The low-pass filter uses an 8th-order elliptic low-pass filter MAX7400 to filter out unwanted high-frequency noise.

[0013] The DSP core circuit uses the LMS320F28335 from Changxin Microelectronics as the core chip, and includes a DSP power supply module, clock circuit, reset circuit, and JTAG module. The core chip is connected to the waveform generation module to control the generation of triangular waves. The core chip is also connected to the signal processing module, which performs analog-to-digital sampling on the received I and Q difference frequency signals through the built-in ADC module, and uses the fast Fourier transform algorithm to calculate the water level and flow velocity.

[0014] The power supply system includes solar panels, a solar controller, a storage battery, and a power module. The solar panels are installed on the top of the poles near the sunken traffic culvert. The solar panels convert solar energy into electrical energy and charge the storage battery through the solar controller. When there is plenty of sunshine, the power module can be directly powered by DC-DC conversion. When there is no sunshine, the storage battery powers the power module.

[0015] The power supply module provides power to the LFMCW radar sensor, waveform generation module, signal processing module, and DSP core circuit. In order to adapt to the 12V / 24V DC power output from the solar controller and the different input voltage requirements of each power module, the power supply module adopts a multi-stage voltage conversion circuit. First, the TPS5410 is used to convert the voltage output from the solar controller to 9V, and then different LM1117s are used to convert the voltage to the required 5V and 3.3V voltages.

[0016] The temperature module uses a TMP37 temperature sensor, which is connected to the DSP core circuit through an ADC interface. The temperature value is obtained through conversion, and the modulation slope of the triangular wave is corrected for different temperatures.

[0017] The 485 communication module uses the MAX3485 chip as its core and is connected to the DSP core circuit through a serial communication interface (SCI). It transmits the calculated water level and water flow velocity data to the 4G data transmission terminal module through the RS485 interface.

[0018] The 4G data transmission terminal module uses a JZX915 4G DTU, which receives water level and flow velocity data through an RS485 interface and transmits this data to the host computer and monitoring platform through a 4G communication network.

[0019] The host computer and monitoring platform can simultaneously access the 4G data transmission terminals of multiple flash flood detection devices, and can classify, process and store the received water level and flow velocity data according to the flash flood detection devices in different areas. Once the water level and flow velocity reach the warning threshold, the platform can estimate and generate warning information, including the approximate time of the flood arrival in the warning area, based on the distance and drop between the detection device area and the warning area, the average flow velocity, etc., and send the warning information to the 4G broadcast terminal in the warning area.

[0020] The 4G broadcast alarm terminal uses the Junsheng Cloud broadcast terminal and is installed in the middle of a pole near the embankment of a mountainous river in the middle and lower reaches of the designated warning area. It receives warning information from the monitoring platform via a 4G network and converts the received warning information into voice broadcasts to the area. A solar panel is installed at the top of the pole, and a solar controller and battery pack are installed in the middle of the pole to provide power for the terminal using solar energy and the battery.

[0021] In this invention, based on the aforementioned LFMCW radar sensor, signal processing module, waveform generation module, DSP core circuit, temperature module, 485 communication module, 4G broadcast alarm terminal, solar panel, battery pack, solar controller, and power supply module, automatic measurement of water level and flow velocity in mountainous rivers is achieved. Once the measurement data reaches a preset threshold, the measurement data is transmitted via a 4G data transmission terminal module installed on-site to a remote host computer equipped with a monitoring platform through a 4G communication network. The monitoring platform then processes the data.

[0022] The beneficial effects of this utility model are as follows:

[0023] 1) The LFMCW radar is used to automatically and accurately measure the water level and flow velocity of mountain rivers, solving the problems of insufficient manpower for manual observation and inaccurate result estimation.

[0024] 2) When a flash flood in a mountainous area causes a rapid rise in water level and a faster flow rate, once both reach a preset threshold, the measurement results will be automatically reported without human intervention.

[0025] 3) By using 4G communication transmission terminals and 4G broadcast terminals, alarm information can be promptly transmitted to personnel in the warning area through the common 4G network, facilitating the timely evacuation of personnel in dangerous areas to safe areas.

[0026] 4) This device is powered by solar energy, eliminating the need to connect to the mains power and improving the applicability of the device installation. Attached Figure Description

[0027] Figure 1This is a structural block diagram of an unmanned flash flood early warning device based on LFMCW radar.

[0028] Figure 2 For the installation of an unmanned flash flood early warning device based on LFMCW radar Figure 1 .

[0029] Figure 3 For the installation of an unmanned flash flood early warning device based on LFMCW radar Figure 2

[0030] Figure 4 This is a flowchart illustrating the workflow of an unmanned flash flood early warning device based on LFMCW radar. Detailed Implementation

[0031] To make the technical solution of this utility model clearer, the specific embodiments of this utility model will be further described below with reference to the accompanying drawings.

[0032] Reference Figure 1 An unattended flash flood early warning device based on LFMCW radar includes an LFMCW radar sensor 01, a signal processing module 02, a waveform transmission module 03, a DSP core circuit 04, a temperature module 05, a 485 communication module 06, a 4G data transmission terminal module 07, a host computer and monitoring platform 08, a 4G broadcast alarm terminal 09, a power supply module 10, a battery pack 16, a solar controller 17, and a solar panel 18.

[0033] Figure 1 As shown, the LFMCW radar sensor 01 is connected to the signal processing module 02 and the waveform transmission module 03 respectively. It receives the triangular wave generated by the waveform transmission module 03, modulates it into a high-frequency radio frequency signal, and then transmits it to the water surface. The echo signal reflected back from the water surface is mixed with the high-frequency transmission signal to generate a difference frequency signal, which is then sent to the signal processing module 02 for filtering and amplification.

[0034] The 01LFMCW radar sensor includes a radio frequency low noise amplifier 11 (LNA), a mixer 12, a voltage controlled oscillator 13 (VCO), a receiving antenna 14, and a transmitting antenna 15.

[0035] The transmitting antenna 15 is connected to the voltage-controlled oscillator 13 (VCO) and is used to receive the high-frequency signal generated by the voltage-controlled oscillator 13 (VCO) and transmit the high-frequency signal to the water surface.

[0036] The receiving antenna 14 receives the echo signal reflected from the water surface and amplifies the received echo signal through the connected radio frequency low noise amplifier 11 (LNA).

[0037] The mixer 12 is connected to the voltage-controlled oscillator 13 (VCO) on the transmitting path and the radio frequency low-noise amplifier 11 (LNA) on the receiving path, respectively. It mixes the high-frequency transmission signal on the transmitting path with the high-frequency echo signal on the receiving path to obtain the difference frequency signal between the two. The high-frequency transmission signal on one of the transmitting channels is phase-shifted by 90 degrees. The difference frequency signals of the I channel and Q channel output by the two mixers are orthogonal.

[0038] The signal processing module 02 is connected to the radar sensor 01 at one end and to the DSP core circuit 04 at the other end. It filters and amplifies the difference frequency signal of the I channel and Q channel output by the LFMCW radar sensor 01, and sends the processed difference frequency signal to the DSP core circuit 04 for AD conversion sampling and calculation to obtain the water level and water flow velocity information.

[0039] The signal processing module 02 includes a high-pass filter 21, a variable gain amplifier 22, and a first low-pass filter 23.

[0040] The non-ideality of the voltage-controlled oscillator (VCO) leads to modulation leakage in the original difference frequency signal. This modulation leakage severely affects subsequent processing and measurement of the difference frequency signal, and the signal strength weakens significantly with increasing distance. Therefore, a high-pass filter 21 and a variable gain amplifier 22 are designed to address the modulation signal leakage and signal strength issues.

[0041] The first low-pass filter 23 is used to filter out the high-frequency noise carried by the input signal itself and the high-frequency noise generated by the intermediate frequency signal processing module, and at the same time to band-limit the input signal to prepare for subsequent ADC sampling.

[0042] One end of the waveform generation module 03 communicates with the DSP core circuit 04 via an SPI interface. Under the control of the DSP core circuit 04, it generates a triangular wave, which is then amplified and DC level adjusted before being used as a modulation signal input to the VCO control input port of the radar sensor for signal modulation.

[0043] The waveform generation module 03 includes a DDS triangular wave generator 24, a cascaded amplifier circuit 25, and a second low-pass filter 26.

[0044] The DDS triangular wave generator 24 is connected to the DSP core circuit 04 and is controlled to generate the triangular wave signal required for measurement.

[0045] The cascaded amplifier circuit 25 receives the triangular wave generated by the DDS triangular wave generator 24, amplifies the triangular wave signal, and outputs it to the second low-pass filter 26 to filter the high-frequency signal.

[0046] The DSP core circuit 04 is the basic circuit for DSP operation. The DSP chip has a serial peripheral interface (SPI) and a serial communication interface (SCI) to communicate with the signal processing module 02 and the waveform generation module 03. It has a built-in ADC module to perform analog-to-digital conversion and sampling on the received analog waves. Then, it is necessary to extract digital signal feature information from the signal acquired by the ADC. By using a fast algorithm of discrete Fourier transform, a large number of floating-point operations are performed to obtain water level and water flow velocity information.

[0047] The temperature module 05 includes a temperature control circuit and an interface with an ADC. It outputs an analog voltage for the ADC to acquire, converts it into a temperature value, and then corrects the system parameters based on the temperature value.

[0048] The RS485 communication module 06 is connected to the DSP core circuit 04 via the SCI interface, and sends the data information calculated by the DSP to the 4G data transmission terminal module 07 through the RS485 communication serial port.

[0049] The 4G data transmission terminal module 07 receives the data information calculated by P through the RS485 communication serial port, and sends it to the monitoring platform of the host computer for further processing through the operator's 4G communication network.

[0050] The host computer and monitoring system 08 can simultaneously access the 4G data transmission terminals of multiple flash flood detection devices. It can also classify, process, and store the received water level and flow velocity data according to the flash flood detection devices located in different areas. Once the water level and flow velocity reach the warning threshold, it can estimate and generate warning information, including the approximate time of the flood arrival in the warning area, based on the distance and drop between the detection device's location and the warning area, the average flow velocity, etc., and send the warning information to the 4G broadcast terminal in the warning area via the 4G network.

[0051] The 4G broadcast alarm terminal 09 includes a receiving terminal and a loudspeaker. It receives early warning information from the monitoring platform via the 4G network and can convert the received early warning information into voice broadcasts to warn the area and notify personnel in the danger zone to evacuate the river in time.

[0052] The solar panel 18 converts solar energy into electrical energy, which is then charged to the battery pack 16 via the solar controller 17. When there is abundant sunshine, the power module 10 can be directly powered by DC-DC conversion. When there is no sunshine, the battery pack 16 powers the power module 10.

[0053] The power supply module 10 is connected to the LFMCW radar sensor 01, waveform generation module 02, signal processing module 03, and DSP core circuit 04, providing power to these modules. To accommodate the 12V / 24V DC power output from the solar controller and the different input voltage requirements of each power-consuming module, the power supply module employs a multi-stage discrete voltage conversion circuit to provide 5V and 3.3V voltages.

[0054] Reference Figure 2 The LFMCW radar sensor 05, 4G data transmission terminal module 03, and signal processing and control system 04 are installed on the crossbeam 09 of the pole device located near the upstream riverbank; the solar controller and battery pack are installed in the equipment box 02 near the middle of the pole 10; the solar panel 01 is installed on the top of the pole 10; the LFMCW radar sensor 05 emits high-frequency radar waves 06, and the echo signal after reflection from the water surface and the transmitted signal are processed by the LFMCW radar sensor 05 and the signal processing and control system 04, and the resulting data is transmitted to the 4G data transmission terminal module 03, and then sent to the remote host computer and monitoring platform 08 through the 4G wireless network 07.

[0055] Reference Figure 3 The 4G broadcast receiver terminal 02 and the broadcast terminal speaker 03 are installed on the upper middle part of the pole 07 located near the embankment of the warning area. The solar controller and battery pack are installed in the equipment box 04 near the middle of the pole 07. The solar panel 01 is installed on the top of the pole 07.

[0056] After receiving the water level and flow velocity information of the area where the detection device is located, the host computer and monitoring platform 06 classifies, processes, and stores the flash flood detection devices according to their location in different areas. Once the water level and flow velocity reach the warning threshold, the platform can estimate and generate warning information, including the approximate time of the flood arrival in the warning area, based on the distance and drop between the detection device's location and the warning area, the average flow velocity, etc. The warning information is then sent to the 4G broadcast receiving terminal 02 in the warning area via the 4G network 05. The warning information is then converted into voice and broadcast through the loudspeaker 03 of the broadcast terminal to notify people in the nearby area to evacuate the danger zone in time.

[0057] Reference Figure 4When there is no flash flood upstream, the river level is low and the flow is slow. The water level and flow velocity have not reached the set continuous measurement thresholds. The detection device initiates periodic measurements according to a pre-defined cycle. At regular intervals, the DSP-based control system activates the LFMCW radar sensor for measurement. During periodic measurements, if the river level and flow velocity reach the set continuous measurement thresholds, the control system controls the LFMCW radar sensor to continue measuring. If it rains upstream, causing the river level to rise and the flow velocity to increase, reaching the set alarm threshold, the system transmits the measured and calculated water level and flow velocity information to the monitoring platform via the 4G network. The monitoring platform estimates and generates warning information, including the approximate time of flood arrival in the warning area, based on the distance and elevation difference between the detection device's location and the warning area, and the average flow velocity. This warning information is then transmitted via the 4G network to 4G broadcast terminals in the warning area. The 4G broadcast terminals convert the warning information into voice and broadcast it, reminding people in the vicinity to evacuate the danger zone in time to avoid unnecessary danger.

[0058] This embodiment utilizes an unmanned LFMCW radar-based flash flood early warning device to achieve automatic and accurate measurement of water levels and flow velocities in the upper reaches of mountainous rivers. When the river level and flow velocity reach the warning threshold, the relevant data is automatically sent to a monitoring platform via a 4G network. The monitoring platform then generates detailed warning information, which is transmitted via the 4G network to 4G broadcast terminals located in the middle and lower reaches of the river. The information is then converted into voice and broadcast to notify personnel in the area to evacuate from dangerous sections of the river. The entire process, from measurement and data acquisition to information transmission and warning dissemination, requires no human intervention. When a flash flood occurs, it automatically completes hydrological measurement and warning dissemination in the first instance, solving the problem of limited human resources and providing a relatively safe and reliable flash flood early warning solution.

[0059] In addition, this device is powered by solar energy, eliminating the need to connect to the mains power and improving the applicability of the device installation.

[0060] The embodiments described in this specification are merely examples of implementations of the inventive concept and are for illustrative purposes only. The scope of protection of this utility model should not be considered limited to the specific forms described in these embodiments; rather, it extends to equivalent technical means that can be conceived by those skilled in the art based on the inventive concept.

Claims

1. An unattended flash flood early warning device based on LFMCW radar, characterized in that, The device includes an LFMCW radar sensor, a signal processing module, a waveform generation module, a DSP core circuit, a temperature module, a 485 communication module, a 4G data transmission terminal module, a host computer and monitoring platform, a 4G broadcast alarm terminal, a solar panel, a battery pack, a solar controller, and a power module. The power module is connected to the LFMCW radar sensor, signal processing module, waveform generation module, DSP core circuit, temperature module, and 4G data transmission terminal module. The solar panel, battery pack, and solar controller are connected to the power module, providing power to it. The MCW radar sensor, signal processing module, waveform generation module, DSP core circuit, temperature module, 485 communication module, power supply module, and 4G data transmission terminal module are installed on the side of the pole beam near the upstream embankment of the mountainous river. The battery pack and solar controller are installed in the equipment box in the middle of the pole near the upstream embankment of the mountainous river. The host computer and monitoring platform are installed in a remote computer room and communicate with the 4G data transmission terminal module through a 4G network. The 4G broadcast alarm terminal is installed in the middle of the pole in the early warning area near the middle and lower reaches of the mountainous river and receives early warning information from the monitoring platform through a 4G network.

2. The unmanned flash flood early warning device based on LFMCW radar as described in claim 1, characterized in that the LFMCW radar sensor includes a transmitting antenna, a receiving antenna, a mixer, a voltage-controlled oscillator (VCO), and a radio frequency low-noise amplifier (RFLPA). One end of the transmitting antenna is connected to the VCO to receive the high-frequency signal generated by the VCO and transmit the high-frequency signal towards the water surface. The receiving antenna receives the echo signal reflected back after being transmitted towards the water surface by the transmitting antenna, and one end is connected to the RFLPA to amplify the received high-frequency signal. The mixer mixes the high-frequency transmitted signal from the transmitting path with the echo signal from the receiving path to obtain the difference frequency signal between the two. The high-frequency transmitted signal on one channel is phase-shifted by 90 degrees, and the difference frequency signals output by the two mixers are orthogonal.

3. A flash flood early warning device based on LFMCW radar as described in claim 1 or 2, characterized in that the waveform generation module includes a DDS triangular wave generator, a cascaded amplifier circuit, and a low-pass filter; the DDS triangular wave generator uses a dedicated signal generator AD9833 to generate the required triangular wave, one end of which is connected to the serial peripheral interface of the DSP, and the DSP controls the DDS signal output; the cascaded amplifier circuit uses two operational amplifiers AD603 arranged in a sequential cascade mode to improve signal control accuracy and signal-to-noise ratio; the low-pass filter uses an 8th-order elliptic low-pass filter MAX7400 to filter unwanted high-frequency noise.

4. A flash flood early warning device based on LFMCW radar as described in claim 1 or 2, characterized in that the DSP core circuit uses the Changxin Micro LMS320F28335 as the core chip, including a DSP power supply module, a clock circuit, a reset circuit and a JTAG module, the core chip is connected to the waveform generation module to control the generation of triangular waves, the core chip is connected to the signal processing module, and the received I and Q difference frequency signals are sampled by analog-to-digital conversion through the built-in ADC module, and the water level and flow velocity of the water surface are calculated using the fast Fourier transform algorithm.

5. A flash flood early warning device based on LFMCW radar as described in claim 1 or 2, characterized in that the solar panel, battery pack, solar controller, and power module form a power supply system; the solar panel is installed on the top of a pole near a sunken traffic culvert; the solar panel converts solar energy into electrical energy, which is then used to charge the battery pack via the solar controller; when there is abundant sunlight, the power module can be directly powered via DC-DC conversion; when there is no sunlight, the battery pack powers the power module; the power module powers the LFMCW radar sensor, waveform generation module, signal processing module, and DSP core circuit; to adapt to the 12V / 24V DC power output from the solar controller and the different input voltage requirements of each power module, the power module adopts a multi-stage voltage conversion circuit. First, a TPS5410 is used to convert the voltage output from the solar controller to 9V; then, different LM1117s are used to convert the voltage to the required 5V and 3.3V voltages.

6. The unmanned flash flood early warning device based on LFMCW radar as described in claim 4, characterized in that, The temperature module uses a TMP37 temperature sensor, which is connected to the DSP core circuit through an ADC interface. The temperature value is obtained through conversion, and the modulation slope of the triangular wave is corrected for different temperatures.

7. The unmanned flash flood early warning device based on LFMCW radar as described in claim 4 is characterized in that the 485 communication module uses the MAX3485 chip as its core and is connected to the DSP core circuit through a serial communication interface, transmitting the calculated water level and water flow velocity data to the 4G data transmission terminal module through the RS485 interface.

8. The unmanned flash flood early warning device based on LFMCW radar as described in claim 7, characterized in that the 4G data transmission terminal module adopts JZX915 4G DTU, receives water level and water flow velocity data through RS485 interface, and transmits these data to the host computer and monitoring platform through 4G communication network.

9. The unmanned flash flood early warning device based on LFMCW radar as described in claim 8, characterized in that the host computer and monitoring platform can simultaneously access the 4G data transmission terminals of multiple flash flood early warning devices, and can classify, process and store the received water level and water flow velocity data according to the flash flood early warning devices in different areas. Once the water level and water flow velocity reach the warning threshold, the system estimates and generates early warning information containing the time of flood arrival in the warning area based on the distance and drop between the area where the flash flood early warning device is located and the warning area, as well as the average water flow velocity, and sends the early warning information to the 4G broadcast terminal in the warning area.

10. The unmanned flash flood early warning device based on LFMCW radar as described in claim 9, characterized in that the 4G broadcast alarm terminal adopts the Junsheng Cloud broadcast terminal, which is installed in the middle of a pole near the embankment of the middle and lower reaches of a mountain river in the early warning area. It receives early warning information sent by the monitoring platform through the 4G network and can convert the received early warning information into voice broadcast to warn the area. A solar panel is installed on the top of the pole, and a solar controller and battery pack are installed in the middle of the pole to provide power to the terminal using solar energy and batteries.

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