Automatic emergency early warning device for hydrological forecasting model
Through the air-driven generator and airbag protection structure, temporary power support is provided for the early warning device of the hydrological forecast model, which solves the problem of power outages during flood disasters and improves the reliability of the early warning device and the accuracy of hydrological disaster prediction.
Patent Information
- Application Number
- CN202510789706.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-13
- Publication Date
- 2025-09-23
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The warning devices of existing hydrological forecast models are prone to losing power supply due to floating objects and power grid interruptions during flood disasters, resulting in the inability to effectively issue alarms. In addition, batteries have difficulty storing sufficient energy during long-term rainy weather.
It adopts an air-driven generator and airbag protection structure, uses airbags to provide temporary power and reduce damage to the device, cushions collisions through airbags, and combines neural networks to predict hydrological disasters and issue graded alerts.
It has achieved continuous power support during flood disasters, reduced equipment damage, improved the reliability and accuracy of early warning, and can respond to hydrological disasters in real time and in a graded manner.
Smart Images

Figure CN120689977A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of early warning devices, and in particular to an automatic emergency early warning device for a hydrological forecast model. Background Art
[0002] Hydrological hazards refer to catastrophic events caused by abnormal changes in water bodies, whether natural or human, and primarily include floods, droughts, storm surges, and debris flows. Their formation is influenced by multiple factors, including climate, topography, the hydrological cycle, and human activities. Global climate change has exacerbated the frequency and intensity of extreme precipitation events, leading to an increased risk of floods and waterlogging. Simultaneously, altered precipitation patterns in some regions may also trigger persistent droughts. Furthermore, human interventions such as increased impervious surfaces during urbanization, encroachment on river channels, and inadequate drainage systems have further weakened the natural hydrological regulation capacity. Technologies for monitoring and preventing hydrological hazards primarily include remote sensing, hydrological modeling, early warning system development, and ecological engineering measures. However, improving forecast accuracy and building a resilient disaster prevention system remain key challenges in current research.
[0003] In the hydrological forecast model warning, the most important thing is to ensure that the warning can be effectively disseminated. Warning equipment deployed in the field usually relies on solar energy or access to the power grid for power supply. During flood disasters, the flow of water bodies such as rivers rises rapidly, and the floating objects washed down from upstream are easily damaged by the warning devices deployed in the waters. It is also easy to cause the circuit of the power grid to be interrupted, making it difficult for the warning devices to obtain sufficient energy. Since flood disasters are often accompanied by continuous rainfall, it is difficult for solar energy to obtain sufficient energy in rainy weather. Patent Publication No. CN210641186U discloses an automatic emergency warning device for hydrological forecast models, which is equipped with a battery to provide power in emergency situations. However, it is still difficult for batteries to effectively store electricity for emergency use in long-term rainy weather, and they are also easily damaged by the impact of floating objects, thereby interrupting the power supply. Summary of the Invention
[0004] To solve the above problems, the present invention provides an automatic emergency warning device for a hydrological forecast model, which is used to provide temporary electricity through gas-driven power generation and construct a protective airbag to reduce the probability of damage to the detection and warning components in hydrological disasters.
[0005] In order to achieve the above-mentioned purpose, the technical solution of the present invention is as follows: an automatic emergency warning device for a hydrological forecast model, comprising a server and several detection and warning components, the detection and warning components being used to be deployed in a water area, the detection and warning components comprising a shell, an alarm and a monitor being provided on the shell, the monitor being used to detect water body information of the water area, a gas storage tank and a power supply being provided in the shell, the gas outlet of the gas storage tank being connected to a gas-driven generator, several air bags being provided outside the shell, the air bags being connected to the gas-driven generator, the air bags being used to store gas outputted from the gas storage tank after passing through the gas-driven generator, and the gas outlet of the gas storage tank being provided with a normally closed constant pressure valve triggered by power failure;
[0006] Both the alarm and the monitor are connected to the server signal. The server has the deployment coordinates of the detection and early warning components preset in it. The server is used to predict the occurrence of hydrological disasters based on the deployment coordinates of the detection and early warning components and the water body information detected by the monitor, and control the alarm to sound an alarm.
[0007] The above scheme has the following beneficial effects:
[0008] 1. In this solution, the detection and warning component is deployed in rivers or lakes, providing real-time water quality monitoring, enabling the server to predict hydrological disasters based on this information. When a hydrological disaster risk is predicted, the server controls the detection and warning component to issue an alarm, warning people to stay away from the water to avoid the disaster.
[0009] 2. In this solution, the detection and warning component may experience a power outage or power supply impairment, resulting in the inability to sound an alarm in an emergency. A normally closed constant-pressure valve, triggered by a power outage, will open when the detection and warning component experiences a power problem. Gas from the gas tank will continue to be ejected, driving the gas-driven generator to generate electricity for the detection and warning component to temporarily use in emergencies. Furthermore, after generating electricity, the gas ejected from the gas tank is injected into the airbag, causing it to expand on the shell surface, effectively forming a collision buffer, which can reduce the probability of damage and failure of the detection and warning component during hydrological disasters.
[0010] Furthermore, the airbag is made of puncture-resistant material and is provided with a pressure relief valve.
[0011] Beneficial Effects: The airbag is made of puncture-resistant material, effectively enhancing its cushioning and protective capabilities. Excessive pressure within the airbag can reduce the gas tank's efficiency and power generation. Therefore, the airbag is equipped with an additional pressure relief valve to balance the pressure between the airbag and the tank. The valve also releases gas to cushion kinetic energy in the event of a collision during a hydrological disaster.
[0012] Furthermore, the shell is a floating body, the bottom of the shell is fixedly connected to a telescopic rod, and the bottom of the telescopic rod is fixedly connected to a column.
[0013] Beneficial Effects: The housing acts as a float, maintaining a floating state and effectively conveying the alarm message when it sounds. The telescopic rod constrains the housing's position, preventing it from shifting with the water flow, while the column acts as underwater support.
[0014] Furthermore, a support frame is fixedly connected to the bottom of the column, and the support frame is detachably connected to a plurality of anchor bolts.
[0015] Beneficial effect: The support frame can be effectively fixed in the mud layer or stone layer under the water through anchor bolts, thereby providing a stable fixing effect.
[0016] Furthermore, a trained neural network is preset in the server, and the neural network is used to be trained based on the type of hydrological disaster, the intensity of the hydrological disaster type, the spatiotemporal development trend of the hydrological disaster, and the water body information and deployment coordinate samples detected by each monitor before the hydrological disaster. The neural network is used to input the water body information and deployment coordinate samples detected by each monitor, and output the type of hydrological disaster, the intensity of the hydrological disaster type and the spatiotemporal development trend of the hydrological disaster.
[0017] Beneficial Effects: The server uses a neural network to learn from a large amount of data samples, constructing a mapping system that uses water body information to reflect hydrological disasters. The neural network analyzes this water body information to obtain information such as the type and intensity of hydrological disasters, as well as their temporal and spatial trends, to facilitate disaster warnings and emergency response.
[0018] Furthermore, the server is used to calculate the real-time distance of each detection and warning component from the hydrological disaster based on the spatiotemporal development trend of the hydrological disaster. The alarm is equipped with multi-level alarm modes, and the alarm modes are divided according to the real-time distance from the hydrological disaster.
[0019] Beneficial effects: Hydrological disasters have a temporal and spatial development trend. Therefore, when issuing an alarm, this feature can be used to classify the alarm, so that different regions can respond to different degrees according to the temporal and spatial development conditions of different hydrological disasters.
[0020] Furthermore, the server is preset with the disaster tolerance strength of the detection and early warning component. When the intensity of the hydrological disaster type is greater than the disaster tolerance strength of the detection and early warning component, the server is used to control the normally closed constant pressure valve to cut off the power.
[0021] Beneficial effects: The airbag can provide protection in the event of an emergency power outage, and can also actively release the airbag through server analysis to prevent risks in advance.
[0022] Furthermore, a number of pressure sensors are provided on the surface of the airbag, and the detection and warning component is used to control the normally closed constant pressure valve to cut off power when the pressure sensor detection data exceeds a preset value.
[0023] Beneficial effect: When mud, rocks or debris are washed out by the river, they will collide with the detection and warning components, thereby causing damage to the detection and warning components. The pressure sensor can detect the pressure generated by the collision and actively open the normally closed constant pressure valve to inflate the airbag for protection.
[0024] Furthermore, the alarm is one or more of a buzzer and an alarm light.
[0025] Beneficial effect: The alarm can provide early warning through buzzing, flashing alarm lights or a combination of the two to alert people around the alarm.
[0026] Furthermore, the monitor includes a water level sensor, a flow sensor, a water quality sensor, a rain gauge and an evaporation sensor.
[0027] Beneficial effects: The monitor can sense changes in water volume in a water body through water level sensors, flow sensors, rain gauges, and evaporation sensors, thereby analyzing the probability of floods or droughts. In addition, the water quality sensor can detect the sediment content in the water body, thereby analyzing the probability of soil erosion, mud-rock flows, or landslides.
[0028] Additional aspects and advantages of the present invention will be set forth in part in the description which follows and, in part, will be obvious from the description which follows, or may be learned by practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS
[0029] Figure 1 This is an axonometric diagram of an embodiment of an automatic emergency warning device for a hydrological forecast model according to the present invention;
[0030] Figure 2 A side view schematic diagram of an embodiment of an automatic emergency warning device for a hydrological forecast model according to the present invention;
[0031] Figure 3 It is a cross-sectional schematic diagram of an embodiment of the automatic emergency warning device for a hydrological forecast model of the present invention.
[0032] The figure marks in the drawings of the specification include: 1. shell; 2. alarm; 3. gas tank; 4. power supply; 5. gas-driven generator; 6. airbag; 7. normally closed constant pressure valve; 8. pressure relief valve; 9. telescopic rod; 10. column; 11. support frame; 12. anchor bolt; 13. pressure sensor; 14. monitor. DETAILED DESCRIPTION
[0033] The technical solution of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts are within the scope of protection of the present invention.
[0034] In the description of the present invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings and are intended solely to facilitate and simplify the description of the present invention. They are not intended to indicate or imply that the devices or components referred to must have, be constructed, or operate in a specific orientation, and therefore should not be construed as limitations on the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.
[0035] In the description of the present invention, it should be noted that, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed, detachable, or integral connections; mechanical or electrical connections; direct or indirect connections through an intermediate medium; and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on the specific circumstances.
[0036] The following is further described in detail through specific implementation methods:
[0037] Example 1:
[0038] As attached Figure 1-Figure 3 The figure shows an automatic emergency warning device for a hydrological forecast model, comprising a server and several detection and warning components. The detection and warning components are deployed in a body of water, such as a river, lake, or wetland. The detection and warning components include a housing 1, to which an alarm 2 and a monitor are bolted. The alarm 2 is one or more of a buzzer and an alarm light. The monitor includes a water level sensor, a flow sensor, a water quality sensor, a rain gauge, and an evaporation sensor.
[0039] The monitor is used to detect water information in the water area. An air tank 3 and a power supply 4 are installed in the shell 1. The air outlet of the air tank 3 is connected to an air-driven generator 5. The air-driven generator 5 is a compressed air powered generator. Several air bags 6 are bonded and fixed to the outside of the shell 1. The air bags 6 are made of puncture-resistant material. A pressure relief valve 8 is provided on the air bags 6. The air bags 6 are connected to the air-driven generator 5. The air bags 6 are used to store the gas output by the air tank 3 after passing through the air-driven generator 5. The air outlet of the air tank 3 is provided with a normally closed constant pressure valve 7 triggered by power failure.
[0040] The shell 1 is a floating body, and a telescopic rod 9 is fixedly connected to the bottom of the shell 1. The bottom of the telescopic rod 9 is bolted to a column 10. The bottom of the column 10 is bolted to a support frame 11, and the support frame 11 is detachably connected to a number of anchor bolts 12.
[0041] Both alarm 2 and the monitor are connected to a server. The server is pre-configured with the deployment coordinates of the detection and warning components. Based on these coordinates and the water body information detected by the monitors, the server predicts the occurrence of hydrological disasters and controls alarm 2 to sound an alarm. The server is pre-configured with a trained neural network. This neural network is trained based on hydrological disaster types, their intensity, and their spatiotemporal trends, as well as samples of water body information and deployment coordinates detected by each monitor before a disaster. The neural network takes as input the water body information and deployment coordinate samples detected by each monitor and outputs the hydrological disaster type, its intensity, and its spatiotemporal trends.
[0042] The detection and warning component, deployed in rivers or lakes, monitors water quality in real time, including water level, flow, water quality, regional rainfall, and evaporation. It also provides feedback on water level and volume trends, sediment load, and other information, enabling the server to predict hydrological disasters based on this information. When a hydrological disaster risk is predicted, the server controls the detection and warning component to issue an alarm, warning people to stay away from the water to avoid the disaster.
[0043] The server uses a neural network to learn from a large number of data samples, exceeding 850, collected before, during, and after historical hydrological disasters. The neural network's learning rate ranges from 0.3 to 0.5, creating a mapping of hydrological disasters using water body information. The neural network analyzes this water body information to obtain information such as the type and intensity of hydrological disasters, as well as their temporal and spatial trends, to facilitate disaster warning and emergency response.
[0044] Housing 1 is a buoyant structure, maintaining a floating state and adapting to changes in the water surface. This allows the alarm to be effectively transmitted from above the water surface. Telescopic rod 9 constrains housing 1, preventing it from shifting with the water flow. Column 10 provides underwater support. Support frame 11 is effectively secured to the mud or rock layer at the bottom of the water via anchor bolts 12, providing a stable fixation.
[0045] The detection and warning component may be out of power or have its power supply damaged, such as when the power line is interrupted, or when it is difficult for solar power generation to meet demand due to long-term rain, etc., which may cause the detection and warning component to be unable to sound an alarm in an emergency. The normally closed constant pressure valve 7 triggered by a power outage will open when the detection and warning component has a power problem, and the gas in the gas tank 3 will continue to spray out. The constant flow effect of the normally closed constant pressure valve 7 can control the flow rate to ensure the duration of the gas spraying. The sprayed gas drives the gas-driven generator 5 to generate electricity for temporary use by the detection and warning component to deal with emergencies. In addition, the gas sprayed from the gas tank 3 will be injected into the airbag 6 after power generation, causing the airbag 6 to expand on the surface of the shell 1, effectively forming a collision buffer, which can reduce the probability of the detection and warning component being damaged and failing in a hydrological disaster, and further reduce the probability of the detection and warning component being damaged in a hydrological disaster and losing the alarm function.
[0046] The alarm 2 can give an early warning by sounding a buzzer, flashing an alarm light, or a combination of the two, to alert the crowd located around the alarm 2.
[0047] Example 2:
[0048] The difference from the above embodiment is that the server is used to calculate the real-time distance of each detection and warning component from the hydrological disaster based on the spatiotemporal development trend of the hydrological disaster. The alarm 2 is provided with a multi-level alarm mode, and the alarm mode is divided according to the real-time distance from the hydrological disaster.
[0049] Hydrological disasters have a temporal and spatial development trend. Therefore, when issuing an alarm, this feature can be used to classify the alarm, so that different regions can respond to different degrees according to the temporal and spatial development conditions of different hydrological disasters.
[0050] Example 3:
[0051] The difference from the above embodiment is that the server is preset with the disaster tolerance strength of the detection and warning component. When the intensity of the hydrological disaster type is greater than the disaster tolerance strength of the detection and warning component, the server is used to control the normally closed constant pressure valve 7 to cut off the power.
[0052] A plurality of pressure sensors 13 are provided on the surface of the airbag 6 , and the detection and warning component is used to control the normally closed constant pressure valve 7 to cut off the power when the detection data of the pressure sensor 13 exceeds a preset value.
[0053] Airbag 6 can provide protection in the event of an emergency power outage, and can also actively release airbag 6 through server analysis to prevent risks in advance.
[0054] When mud, rocks or debris are washed out by the river, they will collide with the detection and warning components, thereby causing damage to the detection and warning components. The pressure sensor 13 can detect the pressure generated by the collision and actively open the normally closed constant pressure valve 7 to inflate the airbag 6 for protection.
[0055] Obviously, the above embodiments are merely examples for clarity of explanation and are not intended to limit the implementation methods. Those skilled in the art will readily appreciate that other variations or modifications based on the above descriptions are possible. It is not necessary and impossible to enumerate all implementation methods here. Obvious variations or modifications arising therefrom remain within the scope of protection of the present invention.
Claims
1. An automatic emergency warning device for a hydrological forecast model, characterized in that: The invention comprises a server and a plurality of detection and early warning components, wherein the detection and early warning components are used to be deployed in a water area, and the detection and early warning components comprise a shell (1), wherein an alarm (2) and a monitor are provided on the shell (1), wherein the monitor is used to detect water body information of the water area, wherein an air storage tank (3) and a power supply (4) are provided in the shell (1), wherein an air outlet of the air storage tank (3) is connected to an air-driven generator (5), wherein a plurality of air bags (6) are provided outside the shell (1), wherein the air bags (6) are connected to the air-driven generator (5), and wherein the air bags (6) are used to store the gas outputted by the air storage tank (3) after passing through the air-driven generator (5), and wherein a normally closed constant pressure valve (7) triggered by power failure is provided at the air outlet of the air storage tank (3); The alarm (2) and the monitor are both connected to the server signal. The server is preset with the deployment coordinates of the detection and early warning components. The server is used to predict the occurrence of hydrological disasters based on the deployment coordinates of the detection and early warning components and the water body information detected by the monitor, and control the alarm (2) to issue an alarm.
2. The automatic emergency warning device for the hydrological forecast model according to claim 1, characterized in that: The airbag (6) is made of a puncture-resistant material and is provided with a pressure relief valve (8).
3. The automatic emergency warning device for the hydrological forecast model according to claim 2 is characterized in that: The shell (1) is a floating body, the bottom of the shell (1) is fixedly connected to a telescopic rod (9), and the bottom of the telescopic rod (9) is fixedly connected to a column (10).
4. The automatic emergency warning device for the hydrological forecast model according to claim 3 is characterized in that: The bottom of the column (10) is fixedly connected to a support frame (11), and the support frame (11) is detachably connected to a plurality of anchor bolts (12).
5. The automatic emergency warning device for the hydrological forecast model according to claim 4 is characterized in that: A trained neural network is preset in the server. The neural network is used to be trained based on the type of hydrological disaster, the intensity of the type of hydrological disaster, the spatiotemporal development trend of the hydrological disaster, and the water body information and deployment coordinate samples detected by each monitor before the hydrological disaster. The neural network is used to input the water body information and deployment coordinate samples detected by each monitor, and output the type of hydrological disaster, the intensity of the type of hydrological disaster and the spatiotemporal development trend of the hydrological disaster.
6. The automatic emergency warning device for the hydrological forecast model according to claim 5, characterized in that: The server is used to calculate the real-time distance between each detection and warning component and the hydrological disaster based on the temporal and spatial development trend of the hydrological disaster. The alarm (2) is provided with a multi-level alarm mode, and the alarm mode is divided according to the real-time distance from the hydrological disaster.
7. The automatic emergency warning device for the hydrological forecast model according to claim 6, characterized in that: The server is preset with the disaster tolerance strength of the detection and warning component. When the intensity of the hydrological disaster type is greater than the disaster tolerance strength of the detection and warning component, the server is used to control the normally closed constant pressure valve (7) to cut off the power.
8. The automatic emergency warning device for the hydrological forecast model according to claim 7, characterized in that: A plurality of pressure sensors (13) are provided on the surface of the airbag (6), and the detection and early warning component is used to control the normally closed constant pressure valve (7) to cut off power when the detection data of the pressure sensor (13) exceeds a preset value.
9. The automatic emergency warning device for the hydrological forecast model according to claim 8, characterized in that: The alarm (2) is one or more of a buzzer and an alarm light.
10. The automatic emergency warning device for the hydrological forecast model according to claim 8, characterized in that: Monitors include water level sensors, flow sensors, water quality sensors, rain gauges, and evaporation sensors.
Citation Information
Patent Citations
Automatic emergency early warning device for hydrological forecasting model
CN210641186U