Intelligent control system for sewage well detection

Abstract

The invention discloses a bilge well detection intelligent control system which comprises an MCU system management module and a pumping gas detection module used for detecting gas information in a bilge well. The liquid level detection module is used for detecting liquid level information in the sewage well; the power management module is used for managing power supply and standby power consumption of each module; the 4G communication equipment is used for transmitting the acquired gas information and liquid level information to the background server; the OTA upgrading module is used for carrying out upgrading management on each module in the system; the automatic production module is used for detecting whether the functions of all the modules are normal or not, automatically detecting the running states of all the modules and reporting the running states to a PC tool when products are produced in a factory, so that rapid production is realized, and misjudgment of manual operation is reduced; and the battery management module is used for performing electric energy management on battery charging and discharging and battery electric quantity. Accurate data acquisition and detection are realized, corresponding processing strategies are formulated, and potential safety hazards of the sewage well are eliminated.

Description

Technical Field

[0001] The invention relates to the technical field of sewage treatment, and in particular to an intelligent control system for sewage well detection. Background Art

[0002] At present, sewage well detection is an important part of the sewage treatment system. How to prevent sewage overflow, how to avoid excessive harmful gases that harm the human body, how to prevent pedestrians from accidentally falling in, how to prevent safety accidents caused by workers entering the well, etc. The existing technology cannot accurately detect the relevant information of the sewage well, and it is even more impossible to formulate corresponding treatment strategies according to the situation of the sewage well, resulting in safety hazards in the sewage well. Summary of the invention

[0003] The present invention aims to solve at least one of the technical problems in the above-mentioned technology to a certain extent. To this end, the purpose of the present invention is to propose an intelligent control system for sewage well detection, realize accurate data collection and detection, formulate corresponding processing strategies, and eliminate the safety hazards of sewage wells and the problem of substandard water quality.

[0004] To achieve the above-mentioned purpose, the embodiment of the present invention proposes a sewage well detection intelligent control system, including: an MCU system management module, a pump suction gas detection module, a liquid level detection module, a power management module, a 4G communication device, an OTA upgrade module, an automated production module and a battery management module respectively connected to the MCU system management module; wherein, Pump suction gas detection module, used to detect gas information in the sewage well; Liquid level detection module, used to detect the liquid level information in the sewage well; Power management module, used to manage the power supply and standby power consumption of each module; 4G communication equipment, used to transmit the acquired gas information and liquid level information to the backend server; OTA upgrade module, used to manage the upgrade of each module in the system; The automated production module is used to detect whether the functions of each module are normal when the factory produces products. The operating status of each module is automatically detected and reported to the PC tool; The battery management module is used to manage the battery charging and discharging and the battery power.

[0005] According to some embodiments of the present invention, it also includes: an APP Bluetooth calibration module, which is used to establish a Bluetooth BLE communication relationship between the MCU system management module and the viewing terminal; The viewing terminal is used to view gas information and liquid level information.

[0006] According to some embodiments of the present invention, it also includes: a server management module, which is used to perform data visualization processing on the gas information and liquid level information transmitted to the background server, determine whether there is an abnormality based on the processing result, and when it is determined that there is an abnormality, report the abnormal information to the early warning module for processing.

[0007] According to some embodiments of the present invention, the server management module includes: The data acquisition module includes an external input window and an API access window. The external input window is used to obtain data uploaded from the background server and the corresponding time information. The API access window is provided with a data source set and an API request. The historical detection information related to the sewage well in the data source set is obtained through the API request and the corresponding time information is marked. The preprocessing module is used to construct a classification system structure according to the detection business requirements and data characteristics of the sewage well, and set the corresponding classification standard data for the classification system structure, wherein the classification standard data includes the meaning and data range of the corresponding type of sewage well detection information; extract features from the data obtained from the background server, and record the extracted feature data as data elements; match the obtained data elements with the classification standard data in the classification system structure respectively, and classify the data obtained from the background server according to the matching results to obtain the classification results; A first determination module, used to determine the scene category information of each set according to the classification result; The generation module is used to generate data visualization processing results according to scene category information.

[0008] According to some embodiments of the present invention, the generating module comprises: A matching module, used to perform scene range interval mapping on the data obtained from the background server according to the scene category information and the corresponding scene category standard, obtain the scene range mapping space marked with the corresponding category, and match the scene range mapping space with the data content based on the scene range mapping space to generate a corresponding mapping value; An acquisition module is used to obtain an array feature matrix of data content, obtain the category of each column of source objects in the array feature matrix, and obtain a visualization influence model corresponding to the category based on a preset association library; generate data visualization processing results based on the visualization influence model; wherein the visualization influence model characterizes the diffusion influence of the category monitoring content on the visualization value under different mapping values.

[0009] According to some embodiments of the present invention, the generating module further includes: a data processing module, which is used to: Before the matching module matches the data content based on the scene range mapping space, valid data in the data content is framed to obtain first data; The data format of the first data is analyzed and adjusted, and duplicate data is eliminated to obtain the second data; the matching module matches the second data based on the scene range mapping space.

[0010] According to some embodiments of the present invention, the liquid level detection module includes: A millimeter wave liquid level detection module, used for transmitting a millimeter wave signal and receiving a reflected signal, and obtaining first liquid level detection information according to the millimeter wave signal and the reflected signal; An image liquid level detection module is used to obtain a detection image of the sewage well and obtain second liquid level detection information according to the detection image; The second determination module is used to determine the liquid level information in the sewage well according to the first liquid level detection information and the second liquid level detection information.

[0011] According to some embodiments of the present invention, the millimeter wave liquid level detection module includes: A timing module, used for measuring the time difference between the millimeter wave signal emitted by the millimeter wave radar and the signal reflected from the liquid surface through a timing counter; A calculation module, used for calculating the distance traveled by the electromagnetic wave signal according to the time difference determined by the calculation module and the propagation speed of the electromagnetic wave signal in the medium, and dividing the distance traveled by the electromagnetic wave signal by 2 to obtain distance information; The conversion module is used to convert the distance information into the liquid level height according to the installation position of the millimeter wave radar and the shape and size of the sewage well, so as to obtain the first liquid level detection information.

[0012] According to some embodiments of the present invention, the image liquid level detection module includes: An analysis module is used to perform edge detection on the detection image, determine the gradient of the detection image in several different directions, and obtain several gradient images; analyze the gradient features of each gradient image; the gradient features include the blur degree, directionality and noise of the edge features; A comparison module, used to compare the gradient features of each gradient image with the preset gradient features, and perform gradient adjustment according to the comparison result to obtain a target gradient image; The fusion module is used to fuse a plurality of target gradient images to obtain a fused image; analyze the fused image to determine the liquid level boundary of the sewage well, and then obtain the second liquid level detection information.

[0013] According to some embodiments of the present invention, the background server is further used to generate a sewage control strategy based on the gas information and the liquid level information to treat the sewage in the sewage well; Generate sewage control strategies based on gas information and liquid level information, including: The control strategy for determining the amount of air required to decompose pollutants in sewage based on gas information and liquid level information includes: in, is the control strategy for the amount of air introduced into the sewage at time t; is the concentration information of pollutants in sewage at time t; is the concentration threshold of the pollutant; is the temperature of sewage in the sewage well; is the current atmospheric pressure; is the standard atmospheric pressure; The decomposition rate of the pollutants for biological decomposition; The preset amount of air introduced into the sewage; A first influence coefficient determined by querying a preset gas information-influence data table according to gas information; A second influence coefficient determined by querying a preset liquid level information-influence data table according to the liquid level information; is the adjustment coefficient, and its value range is (0, 0.01).

[0014] The present invention proposes a sewage well detection intelligent control system, which has the following beneficial effects: (1) Ensuring the normal operation and maintenance of the sewage system: sewage well detection can timely detect water level height, water leakage and other problems to prevent major accidents. Through regular inspection and maintenance, the service life of the sewage system can be extended, maintenance costs can be reduced, and management efficiency can be improved. (2) Protecting the environment and public health: sewage well detection can prevent sewage backflow, and avoid sewage backflow into low-lying terrain or residential areas during heavy rain or municipal sewage pipe blockage, causing environmental pollution and public health hazards. In addition, detection can also reduce sewage leakage and protect the surrounding environment. (3) Ensuring the sewage treatment effect: sewage well detection evaluates the sewage treatment effect by monitoring the physical, chemical and biological indicators of sewage, ensuring that the effluent quality meets the relevant standards and meets the discharge requirements. This helps to optimize the sewage treatment process, improve treatment efficiency and reduce operating costs. (4) Promoting pollution source control and governance: by real-time monitoring of sewage well water quality indicators, the situation of the pollution source can be understood and control measures can be taken in time to reduce the emission concentration of pollutants and protect the ecological environment and people's health. This helps to promote pollution source control and governance and achieve sustainable development. (5) Promoting economic development: A good water environment is an important foundation for economic development. Through sewage detection and management, water resources can be effectively protected and strong support can be provided for economic development.

[0015] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0016] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings: Figure 1 It is a block diagram of a sewage well detection intelligent control system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0018] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0019] like Figure 1 As shown, the embodiment of the present invention proposes a sewage well detection intelligent control system, including: an MCU system management module, a pump suction gas detection module, a liquid level detection module, a power management module, a 4G communication device, an OTA upgrade module, an automated production module and a battery management module respectively connected to the MCU system management module; wherein, Pump suction gas detection module, used to detect gas information in the sewage well; Liquid level detection module, used to detect the liquid level information in the sewage well; Power management module, used to manage the power supply and standby power consumption of each module; 4G communication equipment, used to transmit the acquired gas information and liquid level information to the backend server; OTA upgrade module, used to manage the upgrade of each module in the system; The automated production module is used to detect whether the functions of each module are normal when the factory produces products. The operating status of each module is automatically detected and reported to the PC tool to achieve rapid production and reduce manual operation errors. The battery management module is used to manage the battery charging and discharging and the battery power.

[0020] The working principle of the above technical solution: The MCU system management module serves as the control center of the entire system, responsible for coordinating and managing the data interaction and instruction execution between various functional modules. It has powerful data processing and multi-tasking capabilities, which can ensure the stability and efficiency of system operation. The pump suction gas detection module extracts gas samples from the sewage well into the detection device through pump suction to analyze the gas composition and concentration. The use of high-precision sensors can detect gas information in the sewage well in real time and accurately, such as the content of carbon monoxide, methane, hydrogen sulfide and other gases, the concentration of harmful gases, the types of harmful gases, etc., providing an important basis for safe operation. The liquid level detection module has high-precision and high-reliability liquid level detection capabilities, which can accurately reflect the liquid level of the sewage well and provide timely and accurate information support for drainage operations. The power management module manages and controls the battery management module to ensure the stability and safety of the system power supply. It has functions such as intelligent power monitoring and overcharge and over-discharge protection, which can effectively extend the battery life and improve the system's endurance. The 4G communication equipment adopts high-speed and stable 4G network communication technology, which can transmit the detected gas information and liquid level information to the background server in real time, facilitate remote monitoring and management, and realize data communication between the system and the background server. The OTA upgrade module supports online upgrades, and can update and upgrade the software version without disassembling the equipment, which improves the maintainability and scalability of the system and provides remote upgrade services for each module in the system. The automated production module communicates with the background server, receives operation status information, and develops production fixtures based on this information, and reports the operation status to the PC tool. The fixture refers to the tool used to fix and position the workpiece in the automated production module. It is an important component in mechanical processing, which can ensure that the workpiece maintains the correct position and direction during the processing, thereby ensuring the accuracy and consistency of the processing. It realizes the automation and intelligence of the production process, improves production efficiency and quality, and reduces production costs. The battery management module has efficient power conversion and management capabilities, which can ensure that the system can obtain stable power supply under various working conditions, improve the reliability and stability of the system, provide power for each module in the system, and manage power.

[0021] Beneficial effects of the above technical solutions: The intelligent control system for sewage well detection realizes real-time monitoring and remote transmission of gas information and liquid level information in sewage wells by integrating multiple functional modules, and supports functions such as remote upgrade and automated production, providing strong technical support for the safety detection and maintenance of sewage wells. Accurate data collection and detection are achieved, and corresponding processing strategies are formulated to eliminate safety hazards of sewage wells and problems of substandard water quality.

[0022] According to some embodiments of the present invention, it also includes: an APP Bluetooth calibration module, which is used to establish a Bluetooth BLE communication relationship between the MCU system management module and the viewing terminal; The viewing terminal is used to view gas information and liquid level information.

[0023] The working principle and beneficial effects of the above technical solution: The APP Bluetooth calibration module is responsible for establishing a Bluetooth BLE (Bluetooth LowEnergy) communication relationship between the MCU system management module and the viewing terminal (such as a smart phone, tablet computer and other mobile devices). Through the Bluetooth BLE technology, wireless transmission of data between the MCU system management module and the viewing terminal is realized. Bluetooth BLE technology is known for its low power consumption characteristics, suitable for long-term connection and data transmission, and prolongs the battery life of the viewing terminal. Bluetooth BLE technology has stable connection performance and can maintain the reliability of data transmission even in complex environments. Users can easily view the gas information and liquid level information in the sewage well through the viewing terminal without complex settings, which improves the convenience of operation. The viewing terminal (such as the APP on a smart phone) is used as a user interaction interface to view and display the gas information and liquid level information transmitted by the MCU system management module in real time. Users can intuitively understand the real-time status of the sewage well through the interface on the viewing terminal, including key information such as gas composition, concentration and liquid level height, which is intuitive, real-time and scalable. The addition of the APP Bluetooth calibration module makes the sewage well detection intelligent control system of the embodiment of the present invention more flexible and convenient in data transmission and user interaction. Users can view the gas and liquid level information in the sewage well in real time through the terminal, providing more comprehensive and intuitive information support for the safety detection and maintenance of the sewage well. At the same time, the low power consumption and stability of Bluetooth BLE technology also ensure the long-term stable operation of the system.

[0024] According to some embodiments of the present invention, it also includes: a server management module, which is used to perform data visualization processing on the gas information and liquid level information transmitted to the background server, determine whether there is an abnormality based on the processing result, and when it is determined that there is an abnormality, report the abnormal information to the early warning module for processing.

[0025] The working principle of the above technical solution is as follows: The server management module receives the gas information and liquid level information transmitted from the 4G communication equipment to the background server. Using data visualization technology, this information is intuitively displayed in the form of charts, curves, alarm indicators, etc., which is convenient for operators to quickly understand and analyze. According to the preset threshold, the received gas information and liquid level information are analyzed in real time. Determine whether this information exceeds the normal range, that is, whether there is an abnormality. Once it is determined that there is an abnormality, the server management module will automatically generate an abnormal information report. Report this abnormal information to the early warning module so that further early warning and processing measures can be taken. The early warning module receives the abnormal information reported by the server management module, and takes corresponding early warning measures according to the type and severity of the abnormal information, such as sending text messages, emails, APP push, etc. to notify the operator.

[0026] Beneficial effects of the above technical solution: The addition of the server management module makes the sewage well detection intelligent control system of the embodiment of the present invention more complete and efficient in data processing and abnormal warning. Through data visualization processing and abnormality judgment, the operator can intuitively understand the status of the sewage well, and take early warning and treatment measures in time when abnormalities are found to ensure the safe operation of the sewage well.

[0027] According to some embodiments of the present invention, the server management module includes: The data acquisition module includes an external input window and an API access window. The external input window is used to obtain data uploaded from the background server and the corresponding time information. The API access window is provided with a data source set and an API request. The historical detection information related to the sewage well in the data source set is obtained through the API request and the corresponding time information is marked. The preprocessing module is used to construct a classification system structure according to the detection business requirements and data characteristics of the sewage well, and set the corresponding classification standard data for the classification system structure, wherein the classification standard data includes the meaning and data range of the corresponding type of sewage well detection information; extract features from the data obtained from the background server, and record the extracted feature data as data elements; match the obtained data elements with the classification standard data in the classification system structure respectively, and classify the data obtained from the background server according to the matching results to obtain the classification results; A first determination module, used to determine the scene category information of each set according to the classification result; The generation module is used to generate data visualization processing results according to scene category information.

[0028] The working principle of the above technical solution is as follows: the external input window of the data acquisition module receives real-time data uploaded from the background server. These data usually include gas information, liquid level information, etc., and are accompanied by corresponding time information to ensure the timeliness and accuracy of the data. The API access window can actively obtain historical detection information related to sewage wells from external data sources (such as databases, cloud storage, etc.) by configuring the data source set and API requests. These historical information are also marked with corresponding time information for subsequent analysis and comparison. The data source set contains multiple different data sources, and the API request is responsible for filtering out information related to sewage well detection from these data sources.

[0029] The preprocessing module first builds a classification architecture based on the detection business requirements and data characteristics of the sewage well. This architecture defines the classification standards and data ranges of different types of sewage well detection information. Feature extraction is performed on the data obtained from the background server, and the extracted feature data is recorded as data elements. These data elements are matched with the classification standard data in the classification architecture, and the data is classified according to the matching results. The classification results include different types of gas concentrations, liquid level heights, etc., and their corresponding normal or abnormal states. The first determination module further determines the scene category information of each data set based on the classification results provided by the preprocessing module. The scene category information includes but is not limited to: normal working state, warning state, emergency state, etc. The generation module generates data visualization processing results based on the scene category information provided by the first determination module. These results are displayed in the form of charts, curves, alarm indicators, etc., so that operators can intuitively understand the real-time status and historical trends of the sewage well.

[0030] Beneficial effects of the above technical solution: The server management module realizes comprehensive analysis and efficient use of sewage well detection data through multiple steps such as data collection, preprocessing, scene category information determination and data visualization processing. These functions work together to provide operators with intuitive, accurate and real-time sewage well status information, providing a strong guarantee for the safe operation of sewage wells.

[0031] According to some embodiments of the present invention, the generating module comprises: A matching module, used to perform scene range interval mapping on the data obtained from the background server according to the scene category information and the corresponding scene category standard, obtain the scene range mapping space marked with the corresponding category, and match the scene range mapping space with the data content based on the scene range mapping space to generate a corresponding mapping value; An acquisition module is used to obtain an array feature matrix of data content, obtain the category of each column of source objects in the array feature matrix, and obtain a visualization influence model corresponding to the category based on a preset association library; generate data visualization processing results based on the visualization influence model; wherein the visualization influence model characterizes the diffusion influence of the category monitoring content on the visualization value under different mapping values.

[0032] The working principle of the above technical solution is as follows: the matching module first performs scene range interval mapping on the data obtained from the background server according to the scene category information and the corresponding scene category standard. The original data is mapped into a specific range or interval corresponding to the scene category, so as to obtain the scene range mapping space marked with the corresponding category. The matching module matches the data content based on the scene range mapping space to generate corresponding mapping values. These mapping values ​​reflect the state or characteristics of the data under a specific scene category and are an important basis for the subsequent generation of data visualization processing results. The acquisition module first obtains the array feature matrix of the data content. The array feature matrix is ​​a two-dimensional array, in which each column represents multiple data points of a source object (such as gas concentration, liquid level height, etc.). The acquisition module obtains the category of each source object in the array feature matrix. Based on the preset association library, the visualization influence model corresponding to the category is obtained. The preset association library is an association database of the category of the source object and the visualization influence. The visualization influence model is a mathematical model that describes the diffusion influence of the monitoring content of the category on the visualization value under different mapping values. The acquisition module generates the data visualization processing result based on the visualization influence model and the mapping value. These results are displayed in the form of charts, curves, heat maps, etc., allowing operators to intuitively understand the status changes of sewage wells under different scenario categories.

[0033] Beneficial effects of the above technical solution: The generation module realizes in-depth analysis and visualization of sewage well detection data through the collaboration of the matching module and the acquisition module. These functions work together to provide operators with more intuitive, accurate and real-time sewage well status information, which helps to timely discover and solve potential safety hazards.

[0034] According to some embodiments of the present invention, the generating module further includes: a data processing module, which is used to: Before the matching module matches the data content based on the scene range mapping space, valid data in the data content is framed to obtain first data; The data format of the first data is analyzed and adjusted, and duplicate data is eliminated to obtain the second data; the matching module matches the second data based on the scene range mapping space.

[0035] The working principle and beneficial effects of the above technical solution: The data processing module first frames the valid data in the data content. Valid data refers to data that is useful for subsequent analysis and meets specific conditions or standards. Information that is valuable for subsequent analysis is screened out from the original data to reduce the interference of irrelevant data. According to the analysis results, the data is formatted to ensure the consistency and processability of the data. Format adjustment includes data type conversion, data unit unification, data format standardization, etc. After the data format is adjusted, the data processing module removes duplicate data. Duplicate data refers to data points with the same or highly similar content, which may interfere with subsequent analysis results. By removing duplicate data, the accuracy and reliability of the data can be further improved. After valid data framing, data format adjustment and duplicate data removal, the data processing module obtains the second data. The matching module then matches the second data based on the scene range mapping space to generate the corresponding mapping value. The data processing module provides a more accurate and reliable data basis for subsequent matching and visualization processing by performing steps such as valid data framing, data format adjustment and duplicate data removal on the original data. These preprocessing steps help reduce the interference of irrelevant data and improve the accuracy and efficiency of analysis.

[0036] According to some embodiments of the present invention, the liquid level detection module includes: A millimeter wave liquid level detection module, used for transmitting a millimeter wave signal and receiving a reflected signal, and obtaining first liquid level detection information according to the millimeter wave signal and the reflected signal; An image liquid level detection module is used to obtain a detection image of the sewage well and obtain second liquid level detection information according to the detection image; The second determination module is used to determine the liquid level information in the sewage well according to the first liquid level detection information and the second liquid level detection information.

[0037] The working principle of the above technical solution: The millimeter wave liquid level detection module works by emitting millimeter wave signals and receiving their reflected signals. When the millimeter wave signal encounters the liquid surface, reflection occurs, and the intensity, phase and other characteristics of the reflected signal are related to the liquid level height of the liquid. By analyzing the characteristics of these reflected signals, the millimeter wave liquid level detection module can calculate the first liquid level detection information. The image liquid level detection module works by acquiring the detection image of the sewage well. These images are acquired through image acquisition devices such as cameras and contain visual information about the liquid level height. Through image processing algorithms, such as edge detection, morphological processing, etc., the image liquid level detection module can extract the second liquid level detection information from the detection image. The second determination module is responsible for determining the liquid level information in the sewage well based on the first liquid level detection information and the second liquid level detection information. The information from these two sources is comprehensively processed by weighted average to obtain a more accurate and reliable liquid level result.

[0038] Beneficial effects of the above technical solution: By combining the information of the millimeter wave liquid level detection module and the image liquid level detection module, the second determination module can make full use of the advantages of the two technologies to improve the accuracy and robustness of liquid level detection. In addition, this multi-source information fusion method can also reduce the errors and uncertainties that may be caused by a single technology, and improve the reliability and stability of the entire liquid level detection system. The liquid level detection module realizes accurate and reliable detection of the liquid level in the sewage well through the collaboration of the millimeter wave liquid level detection module, the image liquid level detection module and the second determination module.

[0039] According to some embodiments of the present invention, the millimeter wave liquid level detection module includes: A timing module, used for measuring the time difference between the millimeter wave signal emitted by the millimeter wave radar and the signal reflected from the liquid surface through a timing counter; A calculation module, used for calculating the distance traveled by the electromagnetic wave signal according to the time difference determined by the calculation module and the propagation speed of the electromagnetic wave signal in the medium, and dividing the distance traveled by the electromagnetic wave signal by 2 to obtain distance information; The conversion module is used to convert the distance information into the liquid level height according to the installation position of the millimeter wave radar and the shape and size of the sewage well, so as to obtain the first liquid level detection information.

[0040] The working principle of the above technical solution is as follows: the timing module measures the time difference between the millimeter wave signal emitted by the millimeter wave radar and the signal reflected from the liquid surface through a timing counter. The time difference is one of the key parameters for calculating the liquid level height because it is proportional to the distance that the electromagnetic wave signal propagates in the medium. When the millimeter wave radar transmits a signal, the timing module starts timing. When the signal reflected from the liquid surface is received, the timing module stops timing. By calculating the difference between these two time points, the time for the electromagnetic wave signal to travel back and forth to the liquid surface can be obtained. The calculation module multiplies the time difference by the propagation speed of the electromagnetic wave signal in the medium to obtain the total distance of the electromagnetic wave signal to and from the liquid surface. Since the electromagnetic wave signal is emitted from the radar to the liquid surface and then reflected back, the distance corresponding to the actual liquid level height is half of the total distance. Therefore, the calculation module divides the total distance by 2 to obtain the distance information. The conversion module first establishes a mathematical model based on the installation position of the radar and the geometric shape of the sewage well. Then, the distance information obtained by the calculation module is input into this mathematical model. Through mathematical operations and geometric transformations, the conversion module converts the distance information into the liquid level height to obtain the first liquid level detection information.

[0041] Beneficial effects of the above technical solution: The millimeter wave liquid level detection module realizes accurate measurement of the liquid level in the sewage well through the collaboration of the timing module, the calculation module and the conversion module, and obtains the first liquid level detection information.

[0042] According to some embodiments of the present invention, the image liquid level detection module includes: An analysis module is used to perform edge detection on the detection image, determine the gradient of the detection image in several different directions, and obtain several gradient images; analyze the gradient features of each gradient image; the gradient features include the blur degree, directionality and noise of the edge features; A comparison module, used to compare the gradient features of each gradient image with the preset gradient features, and perform gradient adjustment according to the comparison result to obtain a target gradient image; The fusion module is used to fuse a plurality of target gradient images to obtain a fused image; analyze the fused image to determine the liquid level boundary of the sewage well, and then obtain the second liquid level detection information.

[0043] The working principle of the above technical solution is: detect the image for edge detection, which is used to identify the edge or contour in the image. This is achieved by calculating the gradient of the image in several different directions, and the gradient in each direction will generate a gradient image. The analysis module analyzes the gradient features of each gradient image, which include the blurring degree, directionality and noise of the edge features. Edge detection usually relies on the rate of change of the gray value of the image, that is, the gradient. The analysis module calculates the gradient of the image at each pixel and generates a gradient image. Each gradient image reflects the edge features of the image in that direction. The analysis of gradient features helps to identify which edges are more likely to be liquid level demarcation lines and which may be noise or other structures in the image. The comparison module is used to compare the gradient features of each gradient image with the preset gradient features, and to perform numerical comparison. The preset gradient features are the gradient features of the gradient images that meet the requirements. According to the comparison results, the gradient features that do not meet the requirements are adjusted by gradient. For example, the gradient adjustment includes operations such as enhancing the contrast of the edge, removing noise or adjusting the directionality of the image. The fusion module reduces noise and uncertainty by integrating the information of multiple target gradient images. The purpose of fusion is to integrate edge features in different directions into one image so as to more accurately determine the liquid level boundary. The fused image is analyzed and the liquid level boundary in the sewage well is determined by identifying the edge features in the image based on edge tracking.

[0044] The beneficial effect of the above technical solution is that the image liquid level detection module realizes the accurate extraction of liquid level information in the detection image through the cooperation of the analysis module, the comparison module and the fusion module. These modules together constitute an efficient and accurate image liquid level detection system, which is convenient for obtaining accurate second liquid level detection information.

[0045] According to some embodiments of the present invention, the background server is further used to generate a sewage control strategy based on the gas information and the liquid level information to treat the sewage in the sewage well; Generate sewage control strategies based on gas information and liquid level information, including: The control strategy for determining the amount of air required to decompose pollutants in sewage based on gas information and liquid level information includes: in, is the control strategy for the amount of air introduced into the sewage at time t; is the concentration information of pollutants in sewage at time t; is the concentration threshold of the pollutant; is the temperature of sewage in the sewage well; is the current atmospheric pressure; is the standard atmospheric pressure; The decomposition rate of the pollutants for biological decomposition; The preset amount of air introduced into the sewage; A first influence coefficient determined by querying a preset gas information-influence data table according to gas information; A second influence coefficient determined by querying a preset liquid level information-influence data table according to the liquid level information; is the adjustment coefficient, and its value range is (0, 0.01).

[0046] The working principle and beneficial effects of the above technical solution: It is the concentration threshold of pollutants, which is used to determine whether the concentration of pollutants in sewage exceeds the standard. It is the decomposition rate of biologically degradable pollutants, indicating the removal efficiency of pollutants by the biological treatment system. The preset amount of air introduced into the sewage is a basic value used to provide sufficient air for the biological treatment system when there are no other influencing factors. is the first influence coefficient, which is determined by querying the preset gas information-influence data table according to the gas information, and is used to reflect the influence of the gas composition on the air volume demand; It is the second influence coefficient, which is determined by querying the preset liquid level information-influence data table according to the liquid level information, and is used to reflect the influence of the liquid level height on the air volume demand. It represents the ratio of the current pollutant concentration to the threshold value, and is used to assess the degree to which the pollutant exceeds the standard. Indicates the effect of temperature on air volume demand. It indicates the effect of atmospheric pressure on air volume demand and is used to compare the actual atmospheric pressure with the standard atmospheric pressure to adjust the air volume. It represents the ability of the biological treatment system to remove pollutants and is an important parameter for formulating air volume control strategies. The backend server receives gas information and liquid level information in real time and calculates h(t) according to the above formula. This formula does not require the use of dimensions for calculation, but only involves numerical calculations, that is, the control strategy for the amount of air introduced into the sewage at time t. This strategy can guide the air supply during sewage treatment, ensuring that the biological treatment system can effectively remove pollutants from sewage while avoiding energy waste caused by excessive ventilation. The backend server has formulated an accurate air volume control strategy by comprehensively considering multiple factors, providing strong support for sewage treatment in sewage wells.

[0047] The present invention proposes a sewage well detection intelligent control system, which has the following beneficial effects: (1) Ensuring the normal operation and maintenance of the sewage system: sewage well detection can timely detect water level height, water leakage and other problems to prevent major accidents. Through regular inspection and maintenance, the service life of the sewage system can be extended, maintenance costs can be reduced, and management efficiency can be improved. (2) Protecting the environment and public health: sewage well detection can prevent sewage backflow, and avoid sewage backflow into low-lying terrain or residential areas during heavy rain or municipal sewage pipe blockage, causing environmental pollution and public health hazards. In addition, detection can also reduce sewage leakage and protect the surrounding environment. (3) Ensuring the sewage treatment effect: sewage well detection evaluates the sewage treatment effect by monitoring the physical, chemical and biological indicators of sewage, ensuring that the effluent quality meets the relevant standards and meets the discharge requirements. This helps to optimize the sewage treatment process, improve treatment efficiency and reduce operating costs. (4) Promoting pollution source control and governance: by real-time monitoring of sewage well water quality indicators, the situation of the pollution source can be understood and control measures can be taken in time to reduce the emission concentration of pollutants and protect the ecological environment and people's health. This helps to promote pollution source control and governance and achieve sustainable development. (5) Promoting economic development: A good water environment is an important foundation for economic development. Through sewage detection and management, water resources can be effectively protected and strong support can be provided for economic development.

[0048] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A sewage well detection intelligent control system, characterized in that: include: MCU system management module, pump suction gas detection module, liquid level detection module, power management module, 4G communication equipment, OTA upgrade module, automated production module and battery management module connected to the MCU system management module respectively; among them, Pump suction gas detection module, used to detect gas information in the sewage well; Liquid level detection module, used to detect the liquid level information in the sewage well; Power management module, used to manage the power supply and standby power consumption of each module; 4G communication equipment, used to transmit the acquired gas information and liquid level information to the backend server; OTA upgrade module, used to manage the upgrade of each module in the system; The automated production module is used to detect whether the functions of each module are normal when the factory produces products. The operating status of each module is automatically detected and reported to the PC tool; The battery management module is used to manage the battery charging and discharging and the battery power.

2. The sewage well detection intelligent control system according to claim 1, characterized in that: It also includes: an APP Bluetooth calibration module, which is used to establish a Bluetooth BLE communication relationship between the MCU system management module and the viewing terminal; The viewing terminal is used to view gas information and liquid level information.

3. The sewage well detection intelligent control system according to claim 1, characterized in that: Also includes: The server management module is used to perform data visualization processing on the gas information and liquid level information transmitted to the background server, determine whether there is an abnormality based on the processing results, and when it is determined that there is an abnormality, report the abnormal information to the early warning module for processing.

4. The sewage well detection intelligent control system according to claim 3, characterized in that: The server management module includes: The data acquisition module includes an external input window and an API access window. The external input window is used to obtain data uploaded from the background server and the corresponding time information. The API access window is provided with a data source set and an API request. The historical detection information related to the sewage well in the data source set is obtained through the API request and the corresponding time information is marked. The preprocessing module is used to construct a classification system structure according to the detection business requirements and data characteristics of the sewage well, and set the corresponding classification standard data for the classification system structure, wherein the classification standard data includes the meaning and data range of the corresponding type of sewage well detection information; extract features from the data obtained from the background server, and record the extracted feature data as data elements; match the obtained data elements with the classification standard data in the classification system structure respectively, and classify the data obtained from the background server according to the matching results to obtain the classification results; A first determination module, used to determine the scene category information of each set according to the classification result; The generation module is used to generate data visualization processing results according to scene category information.

5. The sewage well detection intelligent control system according to claim 4, characterized in that: The generating module comprises: A matching module, used to perform scene range interval mapping on the data obtained from the background server according to the scene category information and the corresponding scene category standard, obtain the scene range mapping space marked with the corresponding category, and match the scene range mapping space with the data content based on the scene range mapping space to generate a corresponding mapping value; An acquisition module is used to obtain an array feature matrix of data content, obtain the category of each column of source objects in the array feature matrix, and obtain a visualization influence model corresponding to the category based on a preset association library; generate data visualization processing results based on the visualization influence model; wherein the visualization influence model characterizes the diffusion influence of the category monitoring content on the visualization value under different mapping values.

6. The intelligent control system for sewage well detection according to claim 5, characterized in that: The generating module further includes: a data processing module, which is used to: Before the matching module matches the data content based on the scene range mapping space, valid data in the data content is framed to obtain first data; The data format of the first data is analyzed and adjusted, and duplicate data is eliminated to obtain the second data; the matching module matches the second data based on the scene range mapping space.

7. The sewage well detection intelligent control system according to claim 1, characterized in that: The liquid level detection module comprises: A millimeter wave liquid level detection module, used for transmitting a millimeter wave signal and receiving a reflected signal, and obtaining first liquid level detection information according to the millimeter wave signal and the reflected signal; An image liquid level detection module is used to obtain a detection image of the sewage well and obtain second liquid level detection information according to the detection image; The second determination module is used to determine the liquid level information in the sewage well according to the first liquid level detection information and the second liquid level detection information.

8. The intelligent control system for sewage well detection according to claim 7, characterized in that: The millimeter wave liquid level detection module comprises: A timing module, used for measuring the time difference between the millimeter wave signal emitted by the millimeter wave radar and the signal reflected from the liquid surface through a timing counter; A calculation module, used for calculating the distance traveled by the electromagnetic wave signal according to the time difference determined by the calculation module and the propagation speed of the electromagnetic wave signal in the medium, and dividing the distance traveled by the electromagnetic wave signal by 2 to obtain distance information; The conversion module is used to convert the distance information into the liquid level height according to the installation position of the millimeter wave radar and the shape and size of the sewage well, so as to obtain the first liquid level detection information.

9. The intelligent control system for sewage well detection according to claim 7, characterized in that: The image liquid level detection module comprises: An analysis module is used to perform edge detection on the detection image, determine the gradient of the detection image in several different directions, and obtain several gradient images; analyze the gradient features of each gradient image; the gradient features include the blur degree, directionality and noise of the edge features; A comparison module, used to compare the gradient features of each gradient image with the preset gradient features, and perform gradient adjustment according to the comparison result to obtain a target gradient image; The fusion module is used to fuse a plurality of target gradient images to obtain a fused image; analyze the fused image to determine the liquid level boundary of the sewage well, and then obtain the second liquid level detection information.

10. The intelligent control system for sewage well detection according to claim 1, characterized in that: The backend server is also used to generate a sewage control strategy based on the gas information and the liquid level information to process the sewage in the sewage well; Generate sewage control strategies based on gas information and liquid level information, including: The control strategy for determining the amount of air required to decompose pollutants in sewage based on gas information and liquid level information includes: in, is the control strategy for the amount of air introduced into the sewage at time t; is the concentration information of pollutants in sewage at time t; is the concentration threshold of the pollutant; is the temperature of sewage in the sewage well; is the current atmospheric pressure; is the standard atmospheric pressure; The decomposition rate of the pollutants for biological decomposition; The preset amount of air introduced into the sewage; A first influence coefficient determined by querying a preset gas information-influence data table according to gas information; A second influence coefficient determined by querying a preset liquid level information-influence data table according to the liquid level information; is the adjustment coefficient, and its value range is (0, 0.01).

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