Water level depth detection method and system adaptive to multi-zone climate environment

Abstract

The application provides a water level depth detection method and system suitable for multi-region climate environments. The water level depth detection system suitable for multi-region climate environments comprises an information storage module, a wireless communication module, an information acquisition module, a parameter adjustment module and a model training module. The application provides a water level depth detection method and system suitable for multi-region climate environments, which establishes communication between a detection device and the cloud in advance, adaptively adjusts the working parameters of the detection device by acquiring and analyzing the working environment information and use information of the detection device, dynamically calculates the water level depth value, can detect the water level depth in various regions and various climate environments, realizes high-precision detection of the water level depth value, and conveniently reports the water level depth value in real time.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of water level depth detection, in particular to a water level depth detection method and system suitable for multiple regional climate environments. BACKGROUND

[0002] In the scope of market supervision intelligent kitchen management, the field of food safety, the pesticide residues of vegetables and fruits are eliminated through soaking, and intelligent sensing equipment is needed in this process to monitor the water depth of the soaking pool to realize the supervision of the soaking function.

[0003] In the prior art, the above functions are realized by water level sensing lines and pressure sensing devices. The detection by the water level sensing line is generally based on the depth of the sensing line immersed in water to sense the water depth, and the detection of the water depth is limited by the length of the wire. Moreover, the length of the wire is too long to interfere with the behavior of the soaking work, and the storage of the wire is also affected. In the detection process by the pressure sensing device, the air pressure changes in different regions and different climates. The pressure sensing device bears water pressure for a long time, and various factors may affect the accuracy of the sensor. SUMMARY

[0004] The present application provides a water level depth detection method and system suitable for multiple regional climate environments, aiming to solve at least one technical problem in the background art.

[0005] As one aspect of the present application, a water level depth detection method suitable for multiple regional climate environments is provided, comprising:

[0006] Initial configuration parameter setting is performed in the cloud, including setting standard working environment information of the detection device, sensitivity values of sensing air pressure, sensing water pressure, and sensing water level depth change, and an initial water level depth error calibration value. The set initial configuration parameters are stored in the cloud, a trained error analysis model is configured in the cloud, and the error analysis model is used to analyze the theoretical water level depth error calibration value of the detection device according to the use information and working environment information of the detection device;

[0007] The target detection device is powered on and initialized, a wireless communication between the target detection device and the cloud is established, and the initial parameter setting of the target detection device is performed through the initial configuration parameters stored in the cloud;

[0008] The current working environment information of the target detection device is obtained, the current working environment information is input into the error analysis model to obtain the theoretical water level depth error calibration value, and the initial water level depth error calibration value of the target detection device is initially adjusted through the theoretical water level depth error calibration value;

[0009] The target detection device monitors the working environment in real time to obtain environmental monitoring parameters. After monitoring a group of environmental monitoring parameters, the difference value between the environmental monitoring parameters and the currently recorded environmental monitoring parameters is calculated, and the currently recorded environmental monitoring parameters are updated according to the difference value. After updating the environmental monitoring parameters each time, the water level depth value is recalculated according to the updated environmental monitoring parameters to detect the water level depth in real time.

[0010] Further, the initial parameter setting of the target detection device is performed by the initial configuration parameters stored in the cloud, including:

[0011] The sensitivity value of sensing air pressure, the sensitivity value of sensing water pressure, the sensitivity value of sensing water level depth change, and the initial water level depth error calibration value are set as the initial parameters of the target detection device.

[0012] Further, the current working environment information is input into the error analysis model to obtain a theoretical water level depth error calibration value, and the initial water level depth error calibration value of the target detection device is initially adjusted by the theoretical water level depth error calibration value, including:

[0013] After the current working environment information monitored by the target detection device is input into the error analysis model, the error analysis model analyzes the theoretical water level depth error calibration value of the target detection device according to the current working environment information monitored by the target detection device and the standard working environment information of the detection device, and initially adjusts the initial water level depth error calibration value of the target detection device. The initial water level depth error calibration value in the initial parameters of the target detection device is replaced by the theoretical water level depth error calibration value as the current water level depth error calibration value of the target detection device.

[0014] Further, it further includes:

[0015] The use information and the working environment information of the target detection device are obtained in real time. The use duration of the target detection device is determined according to the use information of the target detection device. The environmental difference value is calculated according to the working environment information and the standard working environment information of the target detection device. If the environmental difference value is greater than a preset difference threshold value, the obtained working environment information is input into the error analysis model, the current water level depth error calibration value of the target detection device is updated by the theoretical water level depth error calibration value obtained by analysis, and the update information is recorded.

[0016] Further, after determining the use duration of the target detection device, it further includes:

[0017] Obtain the parameter history adjustment information of the target detection device, and determine whether the usage time of the target detection device is within the range that needs to be adjusted based on the preset parameter time adjustment range. The preset parameter time adjustment range includes multiple sub-adjustment intervals. If so, obtain the target sub-adjustment interval corresponding to the usage time of the target detection device, and determine the number of times the target detection device adjusts the parameters based on the usage time within the target sub-adjustment interval based on the parameter history adjustment information of the target detection device. If the number of times the target detection device adjusts the parameters based on the usage time within the target sub-adjustment interval is less than the preset number, input the usage time of the target detection device into the error analysis model, and update the current water level depth error calibration value of the target detection device through the theoretical water level depth error calibration value obtained through analysis, and record the update information.

[0018] Furthermore, the error analysis model includes the following training steps:

[0019] Acquire training sample data, the training sample data including error information of the detection equipment under different working environments and working durations, calculate the water level depth error calibration value of the detection equipment under different working environments and working durations based on the error information of the detection equipment under different working environments and working durations, label the sample data according to the calculated water level depth error calibration value, and use the labeled training sample data to train the error analysis model to obtain a trained error analysis model.

[0020] As another aspect of the present application, a water level depth detection system adapted to a multi-regional climate environment is provided. The system is applied to any of the above-mentioned water level depth detection methods adapted to a multi-regional climate environment, comprising:

[0021] An information storage module, used for storing initial configuration parameters of the detection device;

[0022] A wireless communication module is configured in the detection device and is used for wireless communication between the detection device and the cloud;

[0023] An information acquisition module is used to obtain the working environment information and usage information of the detection equipment;

[0024] The parameter adjustment module is used to set the initial parameters of the detection equipment and adjust the working parameters of the detection equipment;

[0025] Model training module, used to train error analysis models.

[0026] Furthermore, the information storage module further includes:

[0027] Record the usage information and parameter adjustment records of the detection equipment.

[0028] The advantages of the present invention are as follows:

[0029] The present application provides a water level depth detection method that is adaptable to multi-regional climate environments. Communication between the detection equipment and the cloud is established in advance. The working parameters of the detection equipment are adaptively adjusted by acquiring and analyzing the working environment information and usage information of the detection equipment. The water level depth value is dynamically calculated. Water level depth detection can be performed in multiple regions and multiple climate environments, and water level depth values ​​can be detected with high precision, and water level depth values ​​can be reported conveniently in real time. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the structures shown in these drawings without paying any creative work.

[0031] Figure 1 The figure is a flow chart of a water level depth detection method adapted to multi-region climate environments in an embodiment of the present invention.

[0032] Figure 2 The present invention is a schematic structural diagram of a water level depth detection system adapted to multi-region climate environments in an embodiment of the present invention. DETAILED DESCRIPTION

[0033] In order to make the purpose, technical solutions and advantages of the present application more clearly understood, some embodiments of the present application are further described in detail below in conjunction with the accompanying drawings and Examples. It should be understood that the specific embodiments described herein are only used to explain the present application and are not intended to limit the present application. However, it will be appreciated by those skilled in the art that in each embodiment of the present application, many technical details are provided in order to enable the reader to better understand the present application. However, even without these technical details and various changes and modifications based on the following embodiments, the technical solutions claimed in the present application can still be implemented.

[0034] Example 1

[0035] See also Figure 1 , Figure 1 This is a flow chart of a water level depth detection method adapted to a multi-region climate environment in an embodiment of the present invention. Embodiment 1 of the present invention provides a water level depth detection method adapted to a multi-region climate environment, which is applied to a detection device. The detection device has a water pressure detection function, an air pressure detection function, and an environmental monitoring function, and is also equipped with a communication module for communicating with the cloud. Water level depth detection is performed through the detection device, including:

[0036] S1. Set initial configuration parameters in the cloud and configure the trained error analysis model.

[0037] It is worth noting that the initial configuration parameter settings include but are not limited to setting the standard working environment information of the detection equipment, the sensitivity value for sensing air pressure, the sensitivity value for sensing water pressure, the sensitivity value for sensing water level depth changes, and the initial water level depth error calibration value. Among them, the standard working environment information is specifically the standard use environment of the detection equipment, such as the working temperature range, the working air pressure range, the working pH range, etc. The sensitivity value for sensing air pressure, the sensitivity value for sensing water pressure, and the sensitivity value for sensing water level depth changes are specifically the detection value update thresholds. For example, if the change between the real-time monitored air pressure and the currently recorded air pressure value is greater than the sensitivity value for sensing air pressure, the currently recorded air pressure value is updated with the currently monitored air pressure value, otherwise the currently recorded air pressure value is not updated. Similarly, for the real-time monitored The water pressure value and water level depth value are determined in the same way. Whether to update the currently recorded water pressure value and water level depth value is determined according to the sensitivity value of sensing water pressure and the sensitivity value of sensing water level depth change respectively. The initial water level depth error calibration value is used to calibrate the water level depth value monitored by the detection equipment. Specifically, the theoretical water level depth value is first calculated based on the monitored water pressure, air pressure, water density and other information, and then calibrated according to the initial water level depth error calibration value. The calibrated theoretical water level depth value is used as the actual monitored water level depth value, and the set initial configuration parameters are stored in the cloud; the role of the error analysis model is to obtain the theoretical water level depth error calibration value of the detection equipment based on the usage information and working environment information of the detection equipment. The error analysis model is specifically a deep learning model.

[0038] S2. The target detection device is powered on and initialized, wireless communication between the target detection device and the cloud is established, and initial parameters of the target detection device are set;

[0039] It is worth noting that, for the convenience of description, this embodiment is described with a target detection device, and the target detection device is specifically one of the detection devices. By installing a battery in the target detection device, the target detection device is powered on and initialized, and communicates with the movement through the communication module configured thereon, and the initial parameters are set according to the initial configuration parameters stored in the cloud. Specifically, the sensitivity value of sensing air pressure, the sensitivity value of sensing water pressure, the sensitivity value of sensing water level depth change, and the initial water level depth error calibration value stored in the cloud are set as the initial parameters of the target detection device;

[0040] S3. Obtain the current working environment information of the target detection device, obtain a theoretical water level depth error calibration value through an error analysis model, and perform an initial adjustment on the initial water level depth error calibration value of the target detection device;

[0041] It is worth noting that after the target detection device is powered on and initialized and the initial parameter setting is completed, it begins to detect the current working environment information, uploads the current working environment information to the cloud through the communication module, and inputs the current working environment information into the error analysis model to obtain the theoretical water level depth error calibration value.

[0042] Specifically, after the error analysis model receives the current working environment information of the target detection device, it analyzes the current working environment information and the standard working environment information stored in the cloud to obtain the theoretical water level depth error calibration value of the target detection device, and uses the theoretical water level depth error calibration value to make initial adjustments to the initial water level depth error calibration value of the target detection device. Specifically, the theoretical water level depth error calibration value is used to replace the initial water level depth error calibration value in the initial parameters of the target detection device as the current water level depth error calibration value of the target detection device.

[0043] S4. The target detection equipment monitors the working environment in real time, obtains environmental monitoring parameters, and detects the water level depth in real time.

[0044] It is worth noting that after the initial adjustment of the initial water level depth error calibration value of the target detection equipment, the target detection equipment begins to monitor the working environment in real time and obtains multiple sets of environmental monitoring parameters. After each set of environmental monitoring parameters is monitored, the difference between it and the currently recorded environmental monitoring parameters is calculated, and the currently recorded environmental monitoring parameters are updated according to the difference value. After each update of the environmental monitoring parameters, the water level depth value is recalculated according to the updated environmental monitoring parameters.

[0045] Specifically, the target detection equipment will obtain the air pressure, water pressure, temperature and other information of the working environment in real time. In different regions and different climatic environments, the air pressure will change. When an air pressure value is monitored, the difference between it and the currently recorded air pressure value is calculated. If the difference between the two is greater than the sensitivity value of sensing the air pressure, the currently recorded air pressure value is updated according to the monitored air pressure value. Similarly, when a hydraulic pressure value is monitored, the difference between it and the currently recorded hydraulic pressure value is calculated. If the difference between the two is greater than the sensitivity value of sensing the hydraulic pressure, the currently recorded hydraulic pressure value is updated according to the monitored hydraulic pressure value.

[0046] When the target detection device is used in a pool, when water is added to or released from the pool, the water level changes, and the target detection device detects the water level depth value in real time. If the difference between the water level depth value detected at a certain moment and the currently recorded water level depth value is greater than the sensitivity value for sensing the change in water level depth, the currently recorded water level depth value is updated based on the monitored water level depth value. It should be added that the water level depth value is recalculated each time the hydraulic value, air pressure value, etc. are updated, and the water level depth value is not recalculated every time a set of environmental monitoring parameters is monitored, so as to achieve rational use of computing resources. After the water level depth value is updated, the latest water level depth value is sent to the cloud in real time through the communication module to achieve real-time detection of water level depth in different climatic environments and different geographical environments.

[0047] In a more preferred implementation process, the process of detecting the water level depth in real time by the target detection device also includes:

[0048] Acquire usage information and working environment information of the target detection device in real time, determine the usage time of the target detection device based on the usage information of the target detection device, and calculate the environmental difference value based on the working environment information of the target detection device and the standard working environment information;

[0049] It is worth noting that as the target detection equipment has been used for a long time and the working environment has changed significantly, the water level depth value obtained by detection may have certain errors. In this case, by analyzing the usage information and working environment information of the target detection equipment, the water level depth error calibration value of the target detection equipment is updated to improve the detection accuracy of the target detection equipment.

[0050] Specifically, after obtaining the working environment information of the target detection device, the environmental difference value between the obtained working environment information and the standard working environment information is calculated. Taking temperature as an example, if the current working temperature of the target detection device exceeds the working temperature range recorded in the standard working environment information, the minimum difference value between the current working temperature of the target detection device and the working temperature range recorded in the standard working environment information is recorded as the environmental difference value corresponding to the temperature. The environmental difference values ​​corresponding to hydraulic pressure, air pressure, etc. are calculated in the same way.

[0051] If the environmental difference value is greater than the preset difference threshold, the obtained working environment information is input into the error analysis model, and the current water level depth error calibration value of the target detection equipment is updated through the theoretical water level depth error calibration value obtained through analysis, and the updated information is recorded.

[0052] It is worth noting that the preset difference threshold corresponds to multiple items, such as temperature, pH, hydraulic value, air pressure value, etc. When the environmental difference value corresponding to any one item exceeds the preset difference threshold corresponding to the item, the working environment information obtained this time is input to the error analysis model, and the theoretical water level depth error calibration value corresponding to the working environment information is obtained by analyzing the error analysis model. The obtained theoretical water level depth error calibration value is used to update the current water level depth error calibration value of the target detection device, and the update of each information is recorded.

[0053] In a more optimal implementation process, the analysis of the use time length of the target detection device includes:

[0054] Obtain the parameter historical adjustment information of the target detection device, and determine whether the use time length of the target detection device is in the range that needs to be adjusted according to the preset parameter time length adjustment range;

[0055] It is worth noting that the preset parameter time length adjustment range includes multiple sub-adjustment intervals. As the use time length of the target detection device increases, the accuracy of water level depth detection may decrease. By dividing the use time length, the preset parameter time length adjustment range is obtained. The preset parameter time length adjustment range includes multiple sub-adjustment intervals, and each sub-adjustment interval can be continuous or discontinuous. After obtaining the use time length of the target detection device, it can be determined whether the use time length of the target detection device is in the range that needs to be adjusted according to the preset parameter time length adjustment range. If the use time length of the target detection device is in a certain sub-adjustment interval in the preset parameter time length adjustment range, it indicates that the use time length of the target detection device is in the range that needs to be adjusted.

[0056] If yes, obtain the target sub-adjustment interval corresponding to the use time length of the target detection device, and determine the number of times of parameter adjustment of the target detection device in the target sub-adjustment interval based on the use time length according to the parameter historical adjustment information of the target detection device;

[0057] It is worth noting that in the process of updating the current water level depth error calibration value of the target detection device based on the use time length of the target detection device, the update is not required in real time after the update. In this embodiment, it is updated only once in each sub-adjustment interval. Specifically, after obtaining the target sub-adjustment interval corresponding to the use time length of the target detection device, the number of times of updating the water level depth error calibration value of the target detection device in the target sub-adjustment interval due to the use time length can be queried according to the parameter historical adjustment information of the target detection device.

[0058] If the number of times of parameter adjustment of the target detection device based on the use time in the target sub-adjustment interval is less than the preset number of times, the use time of the target detection device is input into the error analysis model, and the current water depth error calibration value of the target detection device is updated according to the theoretical water depth error calibration value obtained by analysis, and the update information is recorded.

[0059] It is worth noting that the preset number of times is one, that is, in one sub-adjustment interval, the water depth error calibration value of the target detection device will be updated only once due to the use time. When the above condition is met, the use time of the target detection device obtained can be analyzed by the error analysis model to obtain a new theoretical water depth error calibration value. The current water depth error calibration value of the target detection device is updated according to the new theoretical water depth error calibration value obtained by analysis, and the update information of each time is recorded for subsequent query. In this way, the accuracy of water depth detection of the target detection device can be improved.

[0060] In a more preferred implementation process, for the error analysis model, the following training steps are included:

[0061] The training sample data is obtained, the sample data is labeled, the error analysis model is trained with the labeled training sample data, and a trained error analysis model is obtained;

[0062] It is worth noting that the training sample data can be obtained by data extraction from the data obtained during the use of the detection device. The training sample data includes multiple groups of data. The working environment and working time of the detection device in each group of data may be the same or different. The corresponding detection error information is recorded in each group of data. The water depth error calibration value of the detection device under different working environments and working times can be calculated according to the error information. After the water depth error calibration value is calculated, each group of data in the training sample data can be labeled correspondingly. The water depth error calibration value calculated is used to label the sample data. The error analysis model is trained with the labeled training sample data, and a trained error analysis model is obtained. The theoretical water depth error calibration value of the detection device under various working environments and / or working times is obtained by the trained error analysis model.

[0063] The water depth detection method provided by the present application is suitable for multiple regional climate environments. By configuring a wireless communication module on the detection device, wireless communication between the detection device and the cloud is established. The working parameters of the detection device are adaptively adjusted by obtaining and analyzing the working environment information and use information of the detection device. The water depth value is dynamically calculated. The water depth can be detected in various regions and various climate environments. The water depth value is detected with high accuracy, and the water depth value is reported in real time.

[0064] Example 2

[0065] Based on Example 1, see Figure 2 , Figure 2 This is a structural diagram of a water level depth detection system adapted to a multi-region climate environment provided in Example 2 of the present application. The water level depth detection system adapted to a multi-region climate environment provided in the present application includes:

[0066] An information storage module, used for storing initial configuration parameters of the detection device;

[0067] The initial configuration parameter settings include but are not limited to setting the standard working environment information of the detection equipment, the sensitivity value of sensing air pressure, the sensitivity value of sensing water pressure, the sensitivity value of sensing water level depth change, and the initial water level depth error calibration value;

[0068] A wireless communication module is configured in the detection device and is used for wireless communication between the detection device and the cloud;

[0069] An information acquisition module is used to obtain the working environment information and usage information of the detection equipment;

[0070] The parameter adjustment module is used to set the initial parameters of the detection equipment and adjust the working parameters of the detection equipment;

[0071] Among them, the parameter adjustment module is configured with an error analysis model. After obtaining the working environment information and usage information of the detection equipment, the error analysis model can be used to analyze the obtained working environment information and usage information of the detection equipment to determine the theoretical water level depth error calibration value of the detection equipment, and the current water level depth error calibration value of the detection equipment can be adjusted according to the theoretical water level depth error calibration value of the detection equipment;

[0072] Model training module, used to train error analysis models;

[0073] Specifically, the model training module trains the error analysis model including:

[0074] Acquire training sample data, the training sample data including error information of the detection equipment under different working environments and working durations, calculate the water level depth error calibration value of the detection equipment under different working environments and working durations based on the error information of the detection equipment under different working environments and working durations, label the sample data according to the calculated water level depth error calibration value, and use the labeled training sample data to train the error analysis model to obtain a trained error analysis model.

[0075] In a more preferred implementation process, the information storage module further includes:

[0076] Record the usage information and parameter adjustment records of the detection equipment.

[0077] It should be understood that those skilled in the art may make improvements or modifications based on the above description, and all such improvements and modifications shall fall within the scope of protection of the appended claims. Any portion of this specification not described in detail is prior art known to those skilled in the art.

Claims

1. A water level depth detection method adapted to multi-region climate environments, characterized in that: include: Initial configuration parameters are set in the cloud, including the standard working environment information of the detection equipment, the sensitivity value for sensing air pressure, the sensitivity value for sensing water pressure, the sensitivity value for sensing water level change, and the initial water level error calibration value. The set initial configuration parameters are stored in the cloud, and a trained error analysis model is configured in the cloud. The error analysis model is used to analyze the usage information and working environment information of the detection equipment to obtain the theoretical water level error calibration value of the detection equipment; The target detection device is powered on and initialized, wireless communication between the target detection device and the cloud is established, and initial parameters of the target detection device are set using the initial configuration parameters stored in the cloud; Obtaining current working environment information of the target detection device, inputting the current working environment information into the error analysis model to obtain a theoretical water level depth error calibration value, and performing an initial adjustment on an initial water level depth error calibration value of the target detection device using the theoretical water level depth error calibration value; The target detection equipment monitors the working environment in real time and obtains environmental monitoring parameters. After each set of environmental monitoring parameters is monitored, the difference between the parameters and the currently recorded environmental monitoring parameters is calculated, and the currently recorded environmental monitoring parameters are updated according to the difference. After each update of the environmental monitoring parameters, the water level depth value is recalculated according to the updated environmental monitoring parameters, and the water level depth is detected in real time. Also includes: Acquire usage information and working environment information of the target detection device in real time, determine the usage time of the target detection device based on the usage information of the target detection device, calculate the environment difference value based on the working environment information of the target detection device and the standard working environment information, and if the environment difference value is greater than a preset difference threshold, input the acquired working environment information into the error analysis model, update the current water level depth error calibration value of the target detection device through the theoretical water level depth error calibration value obtained by analysis, and record the updated information; After determining the usage time of the target detection equipment, it also includes: Obtain the parameter history adjustment information of the target detection device, and determine whether the usage time of the target detection device is within the range that needs to be adjusted based on the preset parameter time adjustment range. The preset parameter time adjustment range includes multiple sub-adjustment intervals. If so, obtain the target sub-adjustment interval corresponding to the usage time of the target detection device, and determine the number of times the target detection device adjusts the parameters based on the usage time within the target sub-adjustment interval based on the parameter history adjustment information of the target detection device. If the number of times the target detection device adjusts the parameters based on the usage time within the target sub-adjustment interval is less than the preset number, input the usage time of the target detection device into the error analysis model, and update the current water level depth error calibration value of the target detection device through the theoretical water level depth error calibration value obtained through analysis, and record the update information.

2. A water level depth detection method adapted to multiple regional climate environments according to claim 1, characterized in that: Initial parameter settings for target detection devices are performed using the initial configuration parameters stored in the cloud, including: The sensitivity value for sensing air pressure, the sensitivity value for sensing water pressure, the sensitivity value for sensing water level depth change, and the initial water level depth error calibration value are set as initial parameters of the target detection device.

3. A water level depth detection method adapted to multiple regional climate environments as claimed in claim 2, characterized in that: Input the current working environment information into the error analysis model to obtain the theoretical water level depth error calibration value. The initial water level depth error calibration value of the target detection device is initially adjusted using the theoretical water level depth error calibration value, including: After the current working environment information monitored by the target detection device is input into the error analysis model, the error analysis model obtains the theoretical water level depth error calibration value of the target detection device based on the current working environment information monitored by the target detection device and the standard working environment information of the detection device, performs initial adjustment on the initial water level depth error calibration value of the target detection device, and replaces the initial water level depth error calibration value in the initial parameters of the target detection device with the theoretical water level depth error calibration value as the current water level depth error calibration value of the target detection device.

4. The water level depth detection method adapted to multiple regional climate environments according to claim 1, characterized in that: For the error analysis model, the training steps include the following: Acquire training sample data, the training sample data including error information of the detection equipment under different working environments and working durations, calculate the water level depth error calibration value of the detection equipment under different working environments and working durations based on the error information of the detection equipment under different working environments and working durations, label the sample data according to the calculated water level depth error calibration value, and use the labeled training sample data to train the error analysis model to obtain a trained error analysis model.

5. A water level depth detection system adapted to a multi-region climate environment, the system being applied to a water level depth detection method adapted to a multi-region climate environment as described in any one of claims 1 to 4, characterized in that: include: An information storage module, used for storing initial configuration parameters of the detection device; A wireless communication module is configured in the detection device and is used for wireless communication between the detection device and the cloud; An information acquisition module is used to obtain the working environment information and usage information of the detection equipment; The parameter adjustment module is used to set the initial parameters of the detection equipment and adjust the working parameters of the detection equipment; Model training module, used to train error analysis models.

6. The water level depth detection system adapted to multiple regional climate environments according to claim 5, characterized in that: For the information storage module, it also includes: Record the usage information and parameter adjustment records of the detection equipment.

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