Flood prevention safety intelligent early warning method and device
By obtaining river monitoring screens and performing cloud processing, identifying hydrological parameters and predicting flood risks, the problem of lack of effective flood prevention warnings in the existing technology is solved, and high-precision intelligent flood prevention safety warnings are achieved, and safety is improved.
Patent Information
- Application Number
- CN202411593397.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-08
- Publication Date
- 2025-01-10
AI Technical Summary
The lack of effective flood prevention and early warning methods in the existing technology has led to threats to personal safety and production safety, especially in the Tao River Basin where ice floods and mudslides are prone to natural disasters such as ice floods and mudslides.
By obtaining the river channel monitoring screen within the monitoring range, uploading it to the cloud platform for processing, obtaining hydrological data, and transmitting it to the superior application management platform to complete early warning, using AI cameras for preliminary and secondary cloud computing, identifying organisms in the river channel , floating objects, water flow rate and water level parameters predict the chance of flooding.
It has achieved high-precision, all-weather and full-scene intelligent flood prevention safety warning, effectively improving personal and production safety, providing convenient flood prevention warning methods, and reducing safety hazards brought by natural disasters.
Smart Images
Figure CN119296262A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of flood prevention, and in particular to a flood prevention safety intelligent early warning method and device. Background Art
[0002] Dazhuang Hydropower Station is located in Shuangcha Township, Luqu County. It is a low-dam unregulated water diversion power station. It is the sixth cascade power station developed in the Tao River Basin. It is equipped with two 5.5MW axial flow propeller generators. Construction started in January 2006 and was put into operation in April 2009. The power station has a designed annual utilization of 4241 hours and an average annual power generation of 46.65 million KWh. Duosongduo Hydropower Station is located in Ala Township, Luqu County. It is the seventh cascade power station in the Tao River Basin. It is equipped with three 7MW mixed flow turbine generators with a total installed capacity of 21MW. Construction started in January 2006 and was put into operation in December 2011. The power station has a designed annual utilization of 4336 hours and an average annual power generation of 91.06 million KWh.
[0003] The two hydropower stations are managed in cascades, with upstream and downstream linkages. Due to the geographical location, the upper reaches of the Tao River basin are prone to ice floods in winter, and mudslides and other natural disasters are prone to occur in the upper reaches during the flood season. It often happens that nearby residents rush into the main river due to mountain torrents when crossing tributary rivers, causing casualties, conflicts between local enterprises and villagers, and posing hidden dangers to production safety. Summary of the invention
[0004] In view of this, it is necessary to provide a flood prevention safety intelligent early warning method and device to solve the problem that the existing technology does not have suitable flood prevention early warning means and brings hidden dangers to personal safety and production safety.
[0005] In order to solve the above problems, the present invention provides a flood prevention safety intelligent early warning method, comprising: Obtain river monitoring images captured by front-end equipment within the monitoring range; Uploading the monitoring screen to a pre-set cloud platform for processing to obtain hydrological data of the river; Transmit hydrological data to the superior application management platform to complete early warning.
[0006] In a possible implementation, the front-end device includes: a camera.
[0007] In a possible implementation, obtaining a river monitoring picture captured by a front-end device within a monitoring range includes: Obtain monitoring images of the river and the river bank taken by cameras set within the monitoring range.
[0008] In a possible implementation, uploading the monitoring screen to a preset cloud platform for processing includes: The monitoring image is transmitted to the AI camera for preliminary processing at the edge side of the cloud platform to obtain the first hydrological data; The first hydrological data is further uploaded to the cloud platform for secondary cloud computing to obtain the second hydrological data.
[0009] In a possible implementation, the monitoring image is uploaded to the AI camera via GB / T28181 or RTSP protocol.
[0010] In a possible implementation, the first hydrological data includes: whether there are any living creatures passing through the river in the monitoring screen, whether there are any living creatures crossing the preset warning line, the movements of people in the monitoring screen, whether there are floating objects in the river, the flow rate of incoming water, the color of incoming water and the water level.
[0011] In a possible implementation, the actions of the people in the monitoring screen include: whether the people in the monitoring screen have safely worn the water equipment, whether there are people in the monitoring screen dumping garbage into the river, and whether there are people in the monitoring screen swimming in the river.
[0012] In a possible implementation, the second hydrological data includes: probability of flood occurrence.
[0013] In a possible implementation, the first hydrological data is further uploaded to a cloud platform for secondary cloud computing to obtain the second hydrological data, including: Predict the probability of flooding based on the flow rate and color of incoming water.
[0014] The present invention also provides a flood prevention safety intelligent early warning device, comprising: A data acquisition module is used to obtain the river monitoring images captured by the front-end equipment within the monitoring range; A data processing module is used to upload the monitoring screen to a pre-set cloud platform for processing to obtain the hydrological data of the river; The early warning module is used to transmit hydrological data to the superior application management platform to complete the early warning.
[0015] The beneficial effects of the present invention are as follows: the present invention provides a flood control safety intelligent early warning method, which first obtains the river monitoring screen taken by the front-end equipment within the monitoring range, and uploads the monitoring screen to the cloud platform for processing, so as to obtain a high-precision and strongly generalized algorithm in a convenient way, realize all-weather operation and full-scene applicability, and finally transmit the hydrological data to the superior application management platform to complete the early warning, thereby effectively solving the problem that the existing technology does not have suitable flood control early warning means and brings hidden dangers to personal safety and production safety. BRIEF DESCRIPTION OF THE DRAWINGS
[0016] Figure 1A method flow chart of an embodiment of a flood prevention safety intelligent early warning method provided by the present invention; Figure 2 for Figure 1 A method flow chart of an embodiment of step S102; Figure 3 This is a structural schematic diagram of an embodiment of a flood prevention safety intelligent early warning device provided by the present invention. DETAILED DESCRIPTION
[0017] The preferred embodiments of the present invention are described in detail below in conjunction with the accompanying drawings, wherein the accompanying drawings constitute a part of this application and are used together with the embodiments of the present invention to illustrate the principles of the present invention, but are not used to limit the scope of the present invention.
[0018] In the description of the embodiments of the present invention, unless otherwise specified, "multiple" means two or more than two. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" may mean: A exists alone, A and B exist at the same time, and B exists alone.
[0019] The descriptions of "first", "second", etc. involved in the embodiments of the present invention are only for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the technical features defined as "first" and "second" may explicitly or implicitly include at least one of the features.
[0020] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments. In order to solve the above problems, Figure 1 As shown, the present invention provides a flood prevention safety intelligent early warning method, comprising: S101. Obtain river monitoring images captured by front-end equipment within the monitoring range.
[0021] In a possible implementation, the front-end device includes: a camera.
[0022] Furthermore, step S101 includes: obtaining monitoring images of the river and the river bank taken by a camera set within the monitoring range.
[0023] S102: Upload the monitoring screen to a pre-set cloud platform for processing to obtain the hydrological data of the river.
[0024] It should be noted that the cloud platform supports starting new algorithm training with zero samples or a small number of samples. Ideas are algorithms, which greatly shortens the AI demand response cycle. For conventional high-frequency algorithm requirements, a variety of common park algorithms can be built-in, with higher accuracy and better scene adaptability; for the long-tail algorithm definition problem in personalized business scenarios, it supports users to implement micro-model labeling and training iteration on-site with zero code and easy operation, and implement scene definition algorithms (such as: the definition of school uniforms in business scenarios, different schools have different styles and colors), judge while using, and label at one click; iterate while using, and the more you use it, the more accurate it is. It integrates algorithm training and reasoning, adopts an innovative technical architecture, and supports full analysis of all types of algorithms for a single video stream. Compared with the traditional inference all-in-one machine with a single video stream and a single algorithm, it has a higher cost-effectiveness and can better meet the needs of large-scale intelligent transformation of the park. S103. Transmit the hydrological data to the superior application management platform to complete the early warning.
[0025] Specifically, the upper-level application management platform can be a mini program or a self-established APP.
[0026] Compared with the prior art, the present invention provides an intelligent flood control safety early warning method, which first obtains the river monitoring screen taken by the front-end equipment within the monitoring range, and uploads the monitoring screen to the cloud platform for processing, so as to obtain a high-precision and strongly generalized algorithm in a convenient way, realize all-weather operation and full-scene applicability, and finally transmit the hydrological data to the superior application management platform to complete the early warning, thereby effectively solving the problem that the prior art does not have suitable flood control early warning means and brings hidden dangers to personal safety and production safety.
[0027] like Figure 2 , in a possible implementation, step S102 includes; S201: Transmit the monitoring image to the AI camera for preliminary processing at the edge side of the cloud platform to obtain the first hydrological data.
[0028] In one possible implementation, the monitoring image is uploaded to the AI camera via the GB / T28181 or RTSP protocol.
[0029] Specifically, the first hydrological data includes: whether there are any creatures passing through the river in the monitoring screen, whether there are any creatures crossing the preset warning line, the movements of people in the monitoring screen, whether there are floating objects in the river, the flow rate of the incoming water, the color of the incoming water and the water level.
[0030] Furthermore, the actions of people in the monitoring screen include: whether the people in the monitoring screen have safely worn the water discharge equipment, whether there are people in the monitoring screen dumping garbage into the river, and whether there are people in the monitoring screen swimming in the river.
[0031] S202: The first hydrological data is further uploaded to the cloud platform for secondary cloud computing to obtain second hydrological data.
[0032] Specifically, the second hydrological data includes: probability of flood occurrence.
[0033] Furthermore, step S202 includes: predicting the probability of flood occurrence based on the incoming water flow rate and the incoming water color.
[0034] It can be understood that the main contents of the present invention include: (1) Floating object detection: Since floating objects in the river are easily pushed to the banks around the river by the influence of the water flow, the garbage piles around the river can be identified in real time 24 hours a day.
[0035] In river scenes, whether there are floating objects (domestic garbage, water lily plants, etc.) on the water surface is identified through algorithms 24 hours a day.
[0036] (2) Regional intrusion: The perimeter is traditionally detected by infrared radiation, which has a high false alarm rate. Therefore, a regional intrusion algorithm can be introduced to remove interference from other factors such as animals and leaves, and identify illegal intrusions and abnormal behaviors of people in electronic fences or prohibited areas. In addition, this algorithm can also be used to prohibit people from approaching key areas; similar algorithms can also be used to prohibit people from approaching key areas.
[0037] (3) Reservoir detection and personnel detection: Due to the dangerous depth of the water, swimming in the reservoir is strictly prohibited. Drone visual swimming detection is introduced, and an alarm is sounded once a person swimming is identified.
[0038] (4) Water volume change monitoring: Use visual technology to monitor water volume and detect flooding based on water volume monitoring and color changes.
[0039] like Figure 3 The present invention also provides a flood prevention safety intelligent early warning device 30, comprising: The data acquisition module 310 is used to acquire the river monitoring images captured by the front-end equipment within the monitoring range; The data processing module 320 is used to upload the monitoring images to the cloud platform for processing to obtain the hydrological data of the river; The early warning module 330 is used to transmit the hydrological data to the upper-level application management platform to complete the early warning.
[0040] Those skilled in the art will appreciate that all or part of the processes of the above-mentioned embodiments can be implemented by instructing related hardware (such as a processor, a controller, etc.) through a computer program, and the computer program can be stored in a computer medium, wherein the computer medium is a disk, an optical disk, a read-only storage memory, or a random access storage memory, etc.
[0041] The flood prevention safety intelligent early warning method and device provided by the present invention are introduced in detail above. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; at the same time, for technical personnel in this field, according to the idea of the present invention, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.
Claims
1. A flood prevention safety intelligent early warning method, characterized in that: include: Obtain river monitoring images captured by front-end equipment within the monitoring range; Uploading the monitoring screen to a pre-set cloud platform for processing to obtain hydrological data of the river; Transmit hydrological data to the superior application management platform to complete early warning.
2. The flood prevention safety intelligent early warning method according to claim 1 is characterized in that: The front-end device includes: a camera.
3. The flood prevention safety intelligent early warning method according to claim 2 is characterized in that: The obtaining of the river monitoring picture captured by the front-end device within the monitoring range includes: Obtain monitoring images of the river and the river bank taken by cameras set within the monitoring range.
4. The flood prevention safety intelligent early warning method according to claim 1 is characterized in that: The uploading of the monitoring screen to a pre-set cloud platform for processing includes: The monitoring image is transmitted to the AI camera for preliminary processing at the edge side of the cloud platform to obtain the first hydrological data; The first hydrological data is further uploaded to the cloud platform for secondary cloud computing to obtain the second hydrological data.
5. The intelligent early warning method for flood prevention safety according to claim 4 is characterized in that: The monitoring screen is uploaded to the AI camera via GB / T28181 or RTSP protocol.
6. The intelligent early warning method for flood control safety according to claim 4, characterized in that: The first hydrological data includes: whether there are any living creatures passing through the river in the monitoring picture, whether there are any living creatures crossing the preset warning line, the movements of people in the monitoring picture, whether there are floating objects in the river, the flow rate of incoming water, the color of incoming water and the water level.
7. The intelligent early warning method for flood control safety according to claim 6, characterized in that: The actions of the people in the monitoring screen include: whether the people in the monitoring screen have safely worn the water entry equipment, whether there are people in the monitoring screen dumping garbage into the river, and whether there are people in the monitoring screen swimming in the river.
8. The intelligent early warning method for flood control safety according to claim 6, characterized in that: The second hydrological data includes: the probability of flood occurrence.
9. The intelligent early warning method for flood control safety according to claim 8, characterized in that: The first hydrological data is further uploaded to the cloud platform for secondary cloud computing to obtain the second hydrological data, including: Predict the probability of flooding based on the flow rate and color of incoming water.
10. A flood prevention safety intelligent early warning device, characterized in that: include: A data acquisition module is used to obtain the river monitoring images captured by the front-end equipment within the monitoring range; A data processing module is used to upload the monitoring screen to a pre-set cloud platform for processing to obtain the hydrological data of the river; The early warning module is used to transmit hydrological data to the superior application management platform to complete the early warning.