Wireless-based multi-dimensional water gauge reading method, equipment and medium

Abstract

The invention discloses a wireless-based multi-dimensional water gauge reading method and device and a medium, and relates to the technical field of water gauge reading. The method comprises the steps that a three-dimensional map of a preset distance above a target water surface is acquired, interference factors are recognized through the computer vision technology, and the interference factors comprise obstacles; arranging a tail end detection unit according to the position and height of the obstacle and the predicted coverage area of the tail end detection unit, and marking the tail end detection unit and the predicted coverage area of the tail end detection unit on a three-dimensional map; a water gauge reading instruction is generated through the far-end platform, multi-source water gauge data are obtained, and the tail end detection unit is connected with the far-end platform through a wireless network; and verifying the multi-source water gauge data, and obtaining a plurality of water gauge readings under the condition that the verification is passed. According to the method, after the problems of signal attenuation, frequency band interference and obstacle shielding are solved, the wireless communication technology can transmit the water level data more stably and more quickly.

Description

Technical Field

[0001] This application relates to the field of water level gauge reading technology, and in particular to a wireless-based multi-dimensional water level gauge reading method, device and medium. Background Technology

[0002] There are two main methods for reading water level gauges: visual reading and self-counting. Visual reading requires manual on-site reading, while self-counting water level gauges include mechanical and electronic transmission types. Electronic transmission self-counting water level gauges involve the application of wireless communication technology, which can transmit water level data to the monitoring center.

[0003] However, some riverbanks have numerous houses, especially those made of concrete and metal, which can absorb, reflect, and scatter wireless signals, causing signal attenuation during transmission and affecting the distance and quality of wireless transmission. Furthermore, houses on the river are now equipped with various wireless communication devices, such as Wi-Fi routers and Bluetooth devices, which can interfere with signal transmission in specific frequency bands, especially when frequency resources are scarce, where interference can be more severe. Houses, acting as obstacles, may block the direct transmission path of wireless signals, forcing signals to diffract and reflect to reach the receiver. This diffraction and reflection increase the signal propagation path length and may introduce multipath effects, further affecting signal stability and reliability. In densely populated areas on the river, the electromagnetic environment may be relatively complex, subject to interference from other radio wave sources (such as radar and microwave relay stations) in addition to the electromagnetic radiation from the houses themselves. This complex electromagnetic environment increases the uncertainty and difficulty of wireless transmission.

[0004] Based on the above analysis, the problems and shortcomings of the existing technology are as follows:

[0005] Existing methods for reading water levels using wireless communication technology suffer from problems such as signal attenuation, frequency interference, and obstruction in complex environments. Summary of the Invention

[0006] This application provides a method, device, and medium for reading water levels in a multi-dimensional manner based on wireless communication. This method can solve the problems of signal attenuation, frequency interference, and obstruction caused by obstacles in complex environments when using existing methods for reading water levels via wireless communication technology.

[0007] In a first aspect, embodiments of this application provide a wireless-based multi-dimensional water level reading method. The method includes: acquiring a three-dimensional map at a preset distance above the target water surface; identifying interference factors, including obstacles, using computer vision technology; deploying end-point detection units according to the location and height of the obstacles and the expected coverage area of ​​the end-point detection units; marking the end-point detection units and their expected coverage areas on the three-dimensional map; generating water level reading instructions through a remote platform to acquire multi-source water level data, wherein the end-point detection units are connected to the remote platform via a wireless network and include electronic water level gauges; verifying the multi-source water level data, and obtaining multiple water level readings if the verification passes.

[0008] In one implementation of this application, the end-point detection unit further includes detection equipment and sensors; a water level reading command is generated through a remote platform to obtain multi-source water level data, specifically including: obtaining the operating parameters of the end-point detection unit, and obtaining environmental parameters through the end-point detection unit, wherein the environmental parameters include wireless signals and electromagnetic signals, as well as water temperature and sediment content; determining whether the end-point detection unit is operating normally based on the operating parameters, and determining whether the environmental parameters are within the normal range.

[0009] In one implementation of this application, before generating a water gauge reading instruction via a remote platform and obtaining multi-source water gauge data, the method further includes: obtaining the current air temperature to dynamically adjust the water temperature threshold.

[0010] In one implementation of this application, a water gauge reading instruction is generated through a remote platform to obtain multi-source water gauge data. Specifically, this includes: checking wireless and electromagnetic signals and water temperature and sediment content when the operating parameters are normal; switching to a backup channel to connect to the end detection unit when wireless signals overlap or the number of electromagnetic signal areas exceeds a first preset threshold; and sending an early warning when the water temperature exceeds a water temperature threshold or the sediment content exceeds a second preset threshold.

[0011] In one implementation of this application, the method further includes: upon receiving a water level reading instruction, the end detection unit enters a wake-up mode; after data acquisition is completed, the end detection unit enters a sleep mode; and if the operating parameters are not operating normally, the end detection unit enters a continuous wake-up mode.

[0012] In one implementation of this application, before generating a water level reading command through a remote platform and obtaining multi-source water level data, the method further includes: performing zero-point calibration and multi-point calibration on the electronic water level; and verifying the zero-point elevation of the water level according to a preset cycle.

[0013] In one implementation of this application, after verifying the multi-source water gauge data and obtaining the water gauge reading if the verification passes, the method further includes: obtaining the water level rise and fall rate and the rise and fall range of each water gauge based on the water gauge reading and the collection time; finding the patterns of water temperature, sediment content and water level rise and fall rate through machine learning algorithms; and setting conditions to trigger the collection of water gauge readings based on the patterns, including the collection frequency.

[0014] In one implementation of this application, the multi-source water level gauge data is verified, and multiple water level gauge readings are obtained if the verification passes. Specifically, this includes: checking whether the reading times of the multiple water level gauges are within the same time window and whether the values ​​are within the fluctuation range; if the readings are within the same time window and the values ​​are within the fluctuation range, the data is recorded; if the readings are not within the same time window or the values ​​are not within the normal range, the data is discarded, the corresponding electronic water level gauge is marked, and the measurement is repeated.

[0015] Secondly, embodiments of this application also provide a wireless-based multi-dimensional water level reading device. The device includes at least one processor and a memory communicatively connected to the at least one processor. The memory stores instructions executable by the at least one processor, which, when executed, enable the at least one processor to: acquire a three-dimensional map at a preset distance above the target water surface; identify interference factors, including obstacles, using computer vision technology; deploy end-detection units according to the location and height of the obstacles and the expected coverage area of ​​the end-detection units, and mark the end-detection units and their expected coverage areas on the three-dimensional map; generate water level reading instructions through a remote platform to acquire multi-source water level data, wherein the end-detection units are connected to the remote platform via a wireless network and include electronic water level gauges; and verify the multi-source water level data, obtaining multiple water level readings if the verification passes.

[0016] Thirdly, this application also provides a wireless-based multi-dimensional water level reading non-volatile computer storage medium storing computer-executable instructions. These instructions are configured to: acquire a three-dimensional map at a preset distance above the target water surface; identify interfering factors, including obstacles, using computer vision technology; deploy end-point detection units based on the location and height of the obstacles and the expected coverage area of ​​the end-point detection units; mark the end-point detection units and their expected coverage areas on the three-dimensional map; generate water level reading instructions through a remote platform to acquire multi-source water level data, wherein the end-point detection units are connected to the remote platform via a wireless network and include electronic water level gauges; and verify the multi-source water level data, obtaining multiple water level readings if the verification passes.

[0017] This application provides a method, device, and medium for multi-dimensional water level reading based on wireless communication. By addressing issues such as signal attenuation, frequency interference, and obstruction, the wireless communication technology enables more stable and faster transmission of water level data. This allows monitoring personnel to obtain water level information in real time and understand water level changes promptly, providing strong support for water resource scheduling and management. Furthermore, stable wireless communication technology reduces equipment failure rates and minimizes data loss or transmission interruptions caused by equipment malfunctions. This helps reduce maintenance costs and improve the overall stability and reliability of the system. By solving signal transmission problems in complex environments, the operation and maintenance process of the water level monitoring system can be simplified. Maintenance personnel no longer need to frequently visit the site for equipment debugging and maintenance; they can achieve comprehensive monitoring and management of the system simply through a remote monitoring and management platform. Attached Figure Description

[0018] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0019] Figure 1 A flowchart illustrating a wireless-based multi-dimensional water level reading method provided in this application embodiment;

[0020] Figure 2 This is a schematic diagram of the internal structure of a wireless multi-dimensional water level gauge reading device provided in an embodiment of this application. Detailed Implementation

[0021] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application will be clearly and completely described below in conjunction with specific embodiments and corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0022] This application provides a wireless-based multi-dimensional water level reading method, device, and medium, which solves the problems of signal attenuation, frequency interference, and obstacle obstruction in complex environments caused by existing methods for reading water levels using wireless communication technology.

[0023] The technical solutions proposed in the embodiments of this application will be described in detail below with reference to the accompanying drawings.

[0024] Figure 1 A flowchart illustrating a wireless-based multi-dimensional water level gauge reading method is provided for embodiments of this application. Figure 1As shown in the figure, the multi-dimensional water level reading method based on wireless technology provided in this application embodiment specifically includes the following steps:

[0025] Step 10: Obtain a 3D map at a preset distance above the target water surface, and use computer vision technology to identify interference factors, including obstacles.

[0026] In this step, a three-dimensional map of the target water surface at a preset distance is obtained using drones, satellite imagery, or ground-based laser scanning technology. This map includes information on terrain, river course, shoreline, and potential obstacles, such as trees, buildings, and bridges. When wireless signals pass through obstacles, some of their energy is absorbed or reflected, resulting in a weakening of the signal strength and thus affecting the accuracy of the water gauge reading.

[0027] Step 20: Deploy end-point detection units according to the location and height of obstacles and the expected coverage area of ​​the end-point detection units, and mark the end-point detection units and their expected coverage areas on the 3D map.

[0028] In this step, based on the location and height of the obstacles, as well as the vertical and horizontal directions of the end detection unit, the optimal installation position of the detection unit is planned. For example, it is necessary to avoid direct impact from water flow, avoid high-voltage power transmission lines, ensure that the detection unit can accurately reflect water level changes, and avoid being blocked by obstacles.

[0029] Step 30: Generate water level reading instructions through the remote platform and acquire multi-source water level data. The end detection unit is connected to the remote platform via a wireless network and includes an electronic water level gauge.

[0030] In this step, wireless network connections such as GPRS, LoRa, and NB-IoT can transmit measurement data to a data center or cloud platform.

[0031] As an optional embodiment, the end-point detection unit also includes detection equipment and sensors; a water level reading command is generated through a remote platform to obtain multi-source water level data, which may specifically include: Step 301: Obtain the operating parameters of the end-point detection unit and obtain environmental parameters through the end-point detection unit, wherein the environmental parameters include wireless signals and electromagnetic signals, as well as water temperature and sediment content; Step 302: Determine whether the end-point detection unit is operating normally based on the operating parameters, and determine whether the environmental parameters are within the normal range.

[0032] In this step, the operating parameters of the end detection unit are read, including voltage, current, and communication status. At the same time, environmental parameters, including wireless signal strength, electromagnetic interference level, water temperature, and sand content, are acquired through sensors integrated on the detection unit. If the operating parameters are normal, the system will continue to enter sleep mode after the data acquisition is completed.

[0033] As an optional embodiment, a water gauge reading command is generated through a remote platform to obtain multi-source water gauge data. Specifically, this may include: Step 303: Under normal operating parameters, check the wireless signal and electromagnetic signal, and check the water temperature and sediment content.

[0034] In this step, electromagnetic field sensors, frequency counters, spectrum analyzers, etc., can be used for measurement. Detailed measurement data for each detection point should be recorded, including time, location, and measured value.

[0035] Step 304: When the number of overlapping wireless signals and electromagnetic signal areas exceeds the first preset threshold, switch to the backup channel to connect to the end detection unit;

[0036] In this step, for example during holidays when there is a surge in tourists on shore and multiple drones are flying, these devices will generate wireless signals during communication, which may lead to signal overlap and increased interference. The system will automatically switch to a backup communication channel to ensure the stability of data transmission.

[0037] Step 305: Send an alert if the water temperature exceeds the water temperature threshold or the sand content exceeds the second preset threshold.

[0038] In this step, for example, as the sand content increases, the degree of light scattering or absorption intensifies, and the light intensity received by the sensor decreases; conversely, when the sand content decreases, the light intensity increases. In cases of excessively high or low water temperature, or a sudden increase or decrease in sand content, the system automatically triggers an early warning mechanism, notifying relevant personnel via SMS, email, or app push notifications.

[0039] Step 40: Verify the multi-source water gauge data, and obtain multiple water gauge readings if the verification is successful.

[0040] As an optional embodiment, the multi-source water gauge data is verified, and multiple water gauge readings are obtained if the verification passes. Specifically, it may include: Step 401: Check whether the reading times of the multiple water gauges are within the same time window and whether the values ​​are within the fluctuation range.

[0041] In this step, determining whether it falls within the same time window involves checking if the equipment is operating normally, ensuring data time synchronization, and avoiding incorrect transmission of measurement data from the previous window. If it is not within the fluctuation range, it indicates that the current water level is too high or too low, which is not a normal phenomenon.

[0042] Step 402: If the readings are within the same time window and the values ​​are within the fluctuation range, record the data; Step 403: If the readings are not within the same time window or the values ​​are not within the normal range, discard the data, mark the corresponding electronic water gauge, and remeasure.

[0043] In this step, to improve measurement accuracy, multiple measurements can be taken if conditions permit, and the average value can be used as the final reading. If the data is still problematic after remeasurement, it indicates that there may be a problem with the equipment, and the water gauge should be repaired in time.

[0044] As an optional embodiment, before generating water gauge reading instructions via a remote platform and acquiring multi-source water gauge data, the method may further include: acquiring the current air temperature to dynamically adjust the water temperature threshold.

[0045] In this step, before sending the water level reading command, the current air temperature data is collected in real time using temperature sensors deployed near the water area. Based on the current air temperature, combined with historical data and water characteristics, the water temperature threshold is calculated to improve the accuracy of monitoring.

[0046] As an optional embodiment, the method may further include: upon receiving a water level reading instruction, the end detection unit enters a wake-up mode; after data acquisition is completed, the end detection unit enters a sleep mode; and if the operating parameters are not operating normally, the end detection unit enters a continuous wake-up mode.

[0047] This application embodiment uses a low-power acquisition method, and when it is not necessary to collect water level readings, the device enters sleep mode.

[0048] As an optional embodiment, before generating water level reading instructions through a remote platform and acquiring multi-source water level data, the method may further include: performing zero-point calibration and multi-point calibration on the electronic water level; and verifying the zero-point elevation of the water level according to a preset cycle.

[0049] In this step, due to the inconsistent horizon height, the zero point position of each electronic water level gauge may be different. Therefore, each electronic water level gauge needs to be calibrated at a known zero point, such as a dry platform or a specific calibration device, to ensure that the reading of the electronic water level gauge is accurate at the zero point position. Multiple water level points are selected within the measurement range of the electronic water level gauge for calibration. These points usually include key positions such as the lowest water level, normal water level, and highest water level. At each point, the reading of the electronic water level gauge is compared with the known accurate water level, and adjustments are made as needed. The zero point elevation of the water level gauge is checked according to a preset cycle, such as monthly or quarterly, to avoid long-term cumulative errors.

[0050] As an optional embodiment, after verifying the multi-source water gauge data and obtaining the water gauge readings if the verification passes, the method may further include: obtaining the water level rise and fall rate and the rise and fall range of each water gauge based on the water gauge readings and the collection time; finding the patterns of water temperature, sediment content and water level rise and fall rate through machine learning algorithms; and setting conditions to trigger the collection of water gauge readings based on the patterns, including the collection frequency.

[0051] In this step, for example, a sharp increase in sediment content may indicate severe soil erosion in the vicinity, signaling the onset of flood season, and the sampling frequency will be automatically increased. This application example uses water temperature, sediment content, and water level fluctuation rate as examples; in actual implementation, input variables can be added to capture the relationship between water level changes and environmental factors.

[0052] The above are embodiments of the method proposed in this application. Based on the same inventive concept, embodiments of this application also provide a wireless multi-dimensional water level reading device, the structure of which is as follows: Figure 2 As shown.

[0053] Figure 2 This is a schematic diagram of the internal structure of a wireless multi-dimensional water level gauge reading device provided in an embodiment of this application. Figure 2 As shown, the device includes:

[0054] At least one processor 201;

[0055] And a memory 202 that is communicatively connected to at least one processor;

[0056] The memory 202 stores instructions executable by at least one processor. These instructions are executed by at least one processor 201 to enable the processor 201 to: acquire a 3D map at a preset distance above the target water surface; identify interfering factors, including obstacles, using computer vision technology; deploy end-point detection units according to the location and height of the obstacles and the expected coverage area of ​​the end-point detection units, and mark the end-point detection units and their expected coverage areas on the 3D map; generate water level reading instructions through a remote platform to acquire multi-source water level data, wherein the end-point detection units are connected to the remote platform via a wireless network and include electronic water level gauges; and verify the multi-source water level data, obtaining multiple water level readings if the verification passes.

[0057] Some embodiments of this application provide corresponding to Figure 1 A non-volatile computer storage medium for wireless multi-dimensional water level readings is disclosed, storing computer-executable instructions. These instructions are configured to: acquire a 3D map at a preset distance above the target water surface; identify interfering factors, including obstacles, using computer vision technology; deploy end-point detection units based on the location and height of the obstacles and their expected coverage area, and mark the end-point detection units and their expected coverage area on the 3D map; generate water level reading instructions via a remote platform to acquire multi-source water level data, wherein the end-point detection units are connected to the remote platform via a wireless network and include electronic water level gauges; and verify the multi-source water level data, obtaining multiple water level readings if the verification passes.

[0058] The various embodiments in this application are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the embodiments for IoT devices and media are basically similar to the method embodiments, so the description is relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0059] The systems, media, and methods provided in this application are one-to-one correspondences. Therefore, the systems and media also have similar beneficial technical effects as their corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the systems and media will not be repeated here.

[0060] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0061] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0062] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0063] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0064] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0065] Memory may include non-persistent storage in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0066] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0067] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0068] The above description is merely an embodiment of this application and is not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. A wireless-based multi-dimensional water gauge reading method, characterized in that: The method comprises: Obtaining a three-dimensional map of a preset distance above the target water surface, and using computer vision technology to identify interference factors, wherein the interference factors include obstacles; Arrange the terminal detection unit according to the position and height of the obstacle and the expected coverage range of the terminal detection unit, and mark the terminal detection unit and the expected coverage range of the terminal detection unit on the three-dimensional map; Generate a water gauge reading instruction through a remote platform to obtain multi-source water gauge data, wherein the terminal detection unit is connected to the remote platform through a wireless network, and the terminal detection unit includes an electronic water gauge; The multi-source water gauge data are verified, and a plurality of water gauge readings are obtained when the verification passes.

2. A wireless-based multi-dimensional water gauge reading method according to claim 1, characterized in that: Based on the fact that the end detection unit also includes a detection device and a sensor; Generate water gauge reading instructions through the remote platform to obtain multi-source water gauge data, including: Acquire the operating parameters of the terminal detection unit, and acquire the environmental parameters through the terminal detection unit, wherein the environmental parameters include wireless signals and electromagnetic signals, as well as water temperature and sand content; Determine whether the terminal detection unit operates normally according to the operating parameters, and determine whether the environmental parameters are within a normal range.

3. A wireless-based multi-dimensional water gauge reading method according to claim 2, characterized in that: Before generating a water gauge reading instruction through a remote platform to obtain multi-source water gauge data, the method further includes: Get the current air temperature to dynamically adjust the water temperature threshold.

4. A wireless-based multi-dimensional water gauge reading method according to claim 3, characterized in that: Generate water gauge reading instructions through the remote platform to obtain multi-source water gauge data, including: When the operating parameters are normal, checking the wireless signal and electromagnetic signal, and checking the water temperature and sand content; In the case where the wireless signals overlap and the number of electromagnetic signal areas exceeds a first preset threshold, switching to a standby channel to connect to the terminal detection unit; When the water temperature exceeds the water temperature threshold, or the sand content exceeds the second preset threshold, an early warning is sent.

5. The wireless-based multi-dimensional water gauge reading method according to claim 2 is characterized in that: The method further comprises: Upon receiving the water gauge reading instruction, the end detection unit enters a wake-up mode; After the acquisition is completed, the terminal detection unit enters a sleep mode; When the operating parameters are not operating normally, the terminal detection unit enters a long-awaited mode.

6. The wireless-based multi-dimensional water gauge reading method according to claim 1 is characterized in that: Before generating a water gauge reading instruction through a remote platform to obtain multi-source water gauge data, the method further includes: Performing zero-point calibration and multi-point calibration on the electronic water gauge; The zero elevation of the water gauge is calibrated at a preset period.

7. A wireless-based multi-dimensional water gauge reading method according to claim 2, characterized in that: After verifying the multi-source water gauge data and obtaining the water gauge reading if the verification passes, the method further includes: Obtaining the water level rise and fall speed and the rise and fall range of each water gauge according to the water gauge reading and the acquisition time; Using machine learning algorithms to find the patterns of water temperature, sediment content, and water level fluctuation rate; According to the rule, the conditions for triggering the collection of water gauge readings are set, and the conditions include the collection frequency.

8. The wireless-based multi-dimensional water gauge reading method according to claim 2 is characterized in that: Verifying the multi-source water gauge data and obtaining a plurality of water gauge readings when the verification passes, specifically includes: Check whether the reading times of the multiple water gauges are in the same time window and whether the values ​​are within the fluctuation range; If the readings are in the same time window and the values ​​are within the fluctuation range, the data are recorded; If the readings are not in the same time window or the values ​​are not within the normal range, the data will be discarded, the corresponding electronic water level will be marked, and the measurement will be repeated.

9. A wireless multi-dimensional water gauge reading device, characterized in that: The device comprises: at least one processor; and, a memory communicatively coupled to the at least one processor; The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to: Obtaining a three-dimensional map of a preset distance above the target water surface, and using computer vision technology to identify interference factors, wherein the interference factors include obstacles; Arrange the terminal detection unit according to the position and height of the obstacle and the expected coverage range of the terminal detection unit, and mark the terminal detection unit and the expected coverage range of the terminal detection unit on the three-dimensional map; Generate a water gauge reading instruction through a remote platform to obtain multi-source water gauge data, wherein the terminal detection unit is connected to the remote platform through a wireless network, and the terminal detection unit includes an electronic water gauge; The multi-source water gauge data are verified, and the water gauge reading is obtained if the verification passes.

10. A non-volatile computer storage medium for wireless multi-dimensional water gauge readings, storing computer executable instructions, characterized in that: The computer executable instructions are configured to: obtain a three-dimensional map of a preset distance above the target water surface, and use computer vision technology to identify interference factors, wherein the interference factors include obstacles; Arrange the terminal detection unit according to the position and height of the obstacle and the expected coverage range of the terminal detection unit, and mark the terminal detection unit and the expected coverage range of the terminal detection unit on the three-dimensional map; Generate a water gauge reading instruction through a remote platform to obtain multi-source water gauge data, wherein the terminal detection unit is connected to the remote platform through a wireless network, and the terminal detection unit includes an electronic water gauge; The multi-source water gauge data are verified, and the water gauge reading is obtained if the verification passes.

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