Liquid level monitoring and early warning system based on millimeter radar waves

Abstract

The invention discloses a liquid level monitoring and early warning system based on millimeter radar waves, and relates to the technical field of liquid level monitoring and early warning. According to the liquid level monitoring and early warning system based on the millimeter radar waves, round-trip time and environmental data of millimeter radar wave signals are collected through a data acquisition unit, a correction analysis unit corrects a liquid level initial value according to the signals and environmental factors, a trend analysis unit analyzes a liquid level correction trend, and a fusion analysis unit performs data fusion. According to the invention, various sensors for image recognition, ultrasonic recognition, wind speed disturbance and the like are introduced, and weighted correction is carried out on the data through fusion analysis, so that the data error of a single sensor is eliminated, the robustness of liquid level measurement is improved, and in the fusion process, the accuracy of liquid level measurement is improved. The system not only combines data of different sensors, but also considers the influence of environmental factors, and liquid level changes can be reflected more accurately through corrected liquid level values and trend analysis.

Description

Technical Field

[0001] The present invention relates to the technical field of liquid level monitoring and early warning, and particularly to a liquid level monitoring and early warning system based on millimeter radar waves. Background Art

[0002] With the rapid development of industrialization and urbanization, liquid level monitoring plays a crucial role in multiple industries, especially in fields such as food, chemical, electric power, petroleum, coal, cement, and reservoirs. Liquid level monitoring is not only the basis for ensuring the safe operation of equipment and controlling liquid flow, but also an important means to prevent liquid leakage, overflow, and environmental pollution. Traditional liquid level monitoring methods, such as float type, ultrasonic, radar wave, pressure sensors, etc., although have achieved good results in some applications, still have some obvious limitations. For example, ultrasonic and float type sensors are easily affected by climate changes (such as wind speed, humidity, temperature, etc.), resulting in inaccurate measurement results; while pressure sensors and radar wave sensors are greatly interfered by changes in the properties of the medium (such as liquid density, viscosity, etc.).

[0003] In the practical application of liquid level monitoring, especially in some complex environments, a single liquid level monitoring technology often fails to meet the requirements of high precision and high reliability. Therefore, the adoption of multiple sensing technologies for fusion, combined with advanced signal processing and data analysis methods, has become an important direction to improve the accuracy and reliability of liquid level monitoring.

[0004] Millimeter radar wave, as a high-frequency electromagnetic wave, has the characteristics of strong penetration, strong anti-interference ability, and high precision, and is increasingly applied to liquid level monitoring. The millimeter radar wave sensor measures the liquid level by reflecting the signal on the liquid surface. Compared with traditional methods, it can effectively overcome the interference of external factors such as climate change, temperature, and humidity, and provide more stable and reliable liquid level data. Especially in environments with high requirements for liquid level monitoring, such as reservoirs, oil tanks, medicine tanks, and chemical plants, the advantages of millimeter radar waves are even more obvious.

[0005] Moreover, the limitations existing in the prior art at least include the following problems. First, traditional liquid level monitoring systems often rely on the data of a single sensor, such as a millimeter radar wave or ultrasonic sensor, ignoring the influence of environmental factors during the liquid level change process, such as wind speed, electromagnetic interference, humidity, etc. This single monitoring method is difficult to fully consider the influence of the external environment on the liquid level, resulting in relatively low accuracy of liquid level data. Especially in the case of large liquid level fluctuations or strong external interference, the monitoring results may have large errors, directly affecting the reliability and early warning ability of the liquid level monitoring system, and it is difficult to provide effective guarantee for liquid level management in practical applications, thus increasing the system maintenance cost and the difficulty of risk management. Summary of the Invention

[0006] In view of the deficiencies of the prior art, the present invention provides a liquid level monitoring and early warning system based on millimeter radar waves, which solves the problem of inaccurate monitoring data caused by a single sensor in the traditional liquid level monitoring system.

[0007] To achieve the above objectives, the present invention is realized through the following technical solutions: A liquid level monitoring and early warning system based on millimeter radar waves, comprising: a data acquisition unit, configured to continuously send a plurality of millimeter radar wave signals to the liquid surface to be monitored within a set time period, respectively record the signal round-trip time, and synchronously acquire the liquid level fusion data of the liquid surface to be monitored and the environmental state data within a set area when sending the millimeter radar wave signals; a correction and analysis unit, configured to analyze a plurality of initial liquid level values of the liquid surface to be monitored based on the signal round-trip time of each millimeter radar wave signal, and perform correction and analysis in combination with the environmental state data within the set area corresponding to the liquid surface to be monitored to obtain a plurality of corrected liquid level values of the liquid surface to be monitored; a trend analysis unit, configured to analyze the correction trend index of the liquid surface to be monitored based on the plurality of corrected liquid level values of the liquid surface to be monitored; a fusion analysis unit, configured to perform fusion analysis on the plurality of corrected liquid level values of the liquid surface to be monitored respectively in combination with the liquid level fusion data corresponding to the liquid surface to be monitored to obtain a plurality of liquid level fusion values of the liquid surface to be monitored; a risk assessment unit, configured to analyze the time-series risk assessment index of the liquid surface to be monitored based on the correction trend index and the plurality of liquid level fusion values of the liquid surface to be monitored, and perform judgment and analysis with a preset time-series risk assessment interval; an early warning unit, configured to send a liquid level anomaly alarm to relevant staff when the time-series risk assessment index of the liquid surface to be monitored is outside the time-series risk assessment interval.

[0008] Further, the specific steps for analyzing the time-series risk assessment index of the liquid surface to be monitored are as follows: Read the plurality of liquid level fusion values of the liquid surface to be monitored and perform comprehensive analysis to obtain the liquid level fusion mean value of the liquid surface to be monitored; Obtain the highest safe threshold, the lowest safe threshold, and the safety offset of the liquid surface to be monitored; Input the highest safe threshold, the lowest safe threshold, the safety offset, the correction trend index, and the liquid level fusion mean value of the liquid surface to be monitored into a risk assessment model for risk analysis to obtain the time-series risk assessment index of the liquid surface to be monitored.

[0009] Further, the risk assessment model is specifically as follows: Among them, SxF is the time - series risk assessment index of the liquid level to be monitored, YrJ is the liquid - level fusion mean value of the liquid level to be monitored, AqX is the lowest safety threshold of the liquid level to be monitored, AqD is the highest safety threshold of the liquid level to be monitored, λ1 is the lower - limit risk impact coefficient stored in the database, XqS is the correction trend index of the liquid level to be monitored, λ2 is the lower - limit risk adjustment coefficient stored in the database, χ is the safety offset of the liquid level to be monitored, ω is the normal risk adjustment coefficient stored in the database, μ1 is the upper - limit risk impact coefficient stored in the database, and μ2 is the upper - limit risk adjustment coefficient stored in the database.

[0010] Further, the specific steps for analyzing the correction trend index of the liquid level to be monitored are as follows: Read several liquid - level correction values of the liquid level to be monitored, and analyze the liquid - level correction change rate, liquid - level change acceleration, and liquid - level fluctuation index of the liquid level to be monitored; comprehensively analyze the liquid - level correction change rate, liquid - level change acceleration, and liquid - level fluctuation index of the liquid level to be monitored to obtain the correction trend index of the liquid level to be monitored.

[0011] Further, the liquid - level fusion data includes the image - recognition liquid - level value and the ultrasonic - recognition liquid - level value. The specific steps for obtaining several liquid - level fusion values of the liquid level to be monitored are as follows: Obtain the wind - speed disturbance value in the set area of the liquid level to be monitored when continuously sending several millimeter - wave radar signals to the liquid level to be monitored; fuse and analyze several liquid - level correction values of the liquid level to be monitored, respectively combined with the image - recognition liquid - level value, ultrasonic - recognition liquid - level value of the liquid level to be monitored when continuously sending several millimeter - wave radar signals to the liquid level to be monitored, and the wind - speed disturbance value in the set area to obtain several liquid - level fusion values of the liquid level to be monitored.

[0012] Further, the specific formula for calculating a certain liquid - level fusion value of the liquid level to be monitored is as follows: Among them, YrH is a certain liquid - level fusion value of the liquid level to be monitored, YwX is a certain liquid - level correction value of the liquid level to be monitored, β1 is the liquid - level correction weight coefficient stored in the database, TyW is the image - recognition liquid - level value of the liquid level to be monitored when sending a millimeter - wave radar signal to the liquid level to be monitored, β2 is the image - liquid - level weight coefficient stored in the database, CyW is the ultrasonic - recognition liquid - level value of the liquid level to be monitored when sending a millimeter - wave radar signal to the liquid level to be monitored, β3 is the ultrasonic - liquid - level weight coefficient stored in the database, FrD is the wind - speed disturbance value in the set area of the liquid level to be monitored when sending a millimeter - wave radar signal to the liquid level to be monitored, and ψ is the wind - speed disturbance impact coefficient stored in the database.

[0013] Further, the environmental status data includes electromagnetic interference value, humidity value, and air pressure value. The specific steps to obtain several liquid level correction values of the liquid level to be monitored are as follows: Based on several initial liquid level values of the liquid level to be monitored, analyze several liquid level disturbance indexes of the liquid level to be monitored; comprehensively analyze the several initial liquid level values and liquid level disturbance indexes of the liquid level to be monitored, combined with the electromagnetic interference value, humidity value, and air pressure value in the set area of the liquid level to be monitored when continuously sending several millimeter radar wave signals to the liquid level to be monitored, to obtain several liquid level correction values of the liquid level to be monitored.

[0014] Further, the specific steps to analyze several liquid level disturbance indexes of the liquid level to be monitored are as follows: Obtain the lowest safe threshold of the liquid level of the liquid level to be monitored, and comprehensively analyze it combined with several initial liquid level values of the liquid level to be monitored respectively, to obtain several liquid level disturbance indexes of the liquid level to be monitored.

[0015] Further, the specific formula for calculating a certain liquid level correction value of the liquid level to be monitored is as follows: Where, YwX is a certain liquid level correction value of the liquid level to be monitored, YwC is a certain initial liquid level value of the liquid level to be monitored, YrD is a certain liquid level disturbance index of the liquid level to be monitored, δ1 is the disturbance correction coefficient stored in the database, DcG is the electromagnetic interference value in the set area of the liquid level to be monitored when sending millimeter radar wave signals to the liquid level to be monitored, δ2 is the electromagnetic interference positive coefficient stored in the database, SdZ is the humidity value in the set area of the liquid level to be monitored when sending millimeter radar wave signals to the liquid level to be monitored, δ3 is the humidity correction coefficient stored in the database, QyZ is the air pressure value in the set area of the liquid level to be monitored when sending millimeter radar wave signals to the liquid level to be monitored, and δ4 is the air pressure correction coefficient stored in the database.

[0016] Further, the specific steps to analyze several initial liquid level values of the liquid level to be monitored are as follows: Obtain the propagation speed value and incident angle value of the millimeter radar wave signal; comprehensively analyze the signal round-trip time of each millimeter radar wave signal, combined with the propagation speed value and incident angle value of the millimeter radar wave signal respectively, to obtain several initial liquid level values of the liquid level to be monitored.

[0017] The present invention has the following beneficial effects:

[0018] (1) The liquid level monitoring and early warning system based on millimeter radar waves significantly improves the accuracy and reliability of liquid level measurement through the fusion of multi-sensor data. Traditional liquid level monitoring systems usually rely on a single sensor, such as radar or ultrasonic, etc. However, this method is easily affected by environmental factors such as wind speed, electromagnetic interference, and humidity, resulting in measurement errors. This system introduces multiple sensors such as image recognition, ultrasonic recognition, and wind speed disturbance, and through fusion analysis, these data are weighted and corrected, thus eliminating the errors of single-sensor data and improving the robustness of liquid level measurement. During the fusion process, the system not only combines the data of different sensors but also considers the influence of environmental factors. The corrected liquid level value and trend analysis can more accurately reflect the liquid level change, improving the accuracy of liquid level monitoring and ensuring stability and reliability in complex environments.

[0019] (2) The liquid level monitoring and early warning system based on millimeter radar waves makes liquid level monitoring and risk assessment more intelligent and real-time through the liquid level correction and trend analysis mechanism, significantly improving safety. By real-time tracking the liquid level correction value and trend index, the system can timely identify abnormalities in liquid level changes and calculate the timing risk assessment index to evaluate whether the liquid level is approaching the safety threshold. This mechanism enables the system to issue early warnings when the liquid level is abnormal, especially when the liquid level is approaching the safety limit. Through the segmented risk assessment model, the system accurately calculates the risk level and automatically sends an alarm to the staff when the liquid level exceeds the safe range, providing an opportunity for timely intervention. Through this dynamic risk assessment and early warning, the system can effectively prevent accidents caused by abnormal liquid levels, enhancing the safety and response ability of liquid level monitoring.

[0020] (3) The liquid level monitoring and early warning system based on millimeter radar waves can maintain high-precision liquid level monitoring under changing environmental conditions through dynamic correction and adaptive adjustment. The liquid level is affected by various factors such as liquid surface fluctuations, wind speed changes, humidity, and air pressure. These factors are often dynamic and time-varying, and it is difficult for traditional systems to achieve real-time correction. This system, through the comprehensive cooperation of the correction analysis unit, trend analysis unit, and data fusion unit, real-time corrects the liquid level measurement data according to environmental changes, enhancing the adaptability and accuracy of the system. During the liquid level correction process, the system not only considers the data of the liquid level itself but also combines the changes in environmental factors such as wind speed and humidity for weighted correction, ensuring the accuracy and reliability of liquid level measurement. In addition, the trend analysis unit dynamically adjusts the liquid level correction strategy by analyzing the liquid level change acceleration and fluctuation index, enabling the system to provide high-precision liquid level data and early warning information in complex and changing environments, enhancing the adaptability and precision of the system.

[0021] Of course, it is not necessary for any product implementing the present invention to achieve all the above-mentioned advantages simultaneously. Description of the Drawings

[0022] Figure 1 This is a block diagram of a liquid level monitoring and warning system based on millimeter radar waves according to the present invention.

[0023] Figure 2 This is a specific step flowchart for analyzing the time-series risk assessment index of the liquid level to be monitored in a liquid level monitoring and warning system based on millimeter radar waves according to the present invention.

[0024] Figure 3 This is a specific step flowchart for analyzing the corrected trend index of the liquid level to be monitored in a liquid level monitoring and warning system based on millimeter radar waves according to the present invention.

[0025] Figure 4 This is an example diagram of eight liquid level correction data of the liquid level to be monitored in a liquid level monitoring and warning system based on millimeter radar waves according to the present invention. Detailed Embodiment

[0026] Please refer to Figure 1 , an embodiment of the present invention provides a technical solution: a liquid level monitoring and warning system based on millimeter radar waves, including: a data acquisition unit, configured to continuously send a plurality of millimeter radar wave signals to the liquid level to be monitored within a set time period, respectively record the signal round-trip time, and synchronously acquire the liquid level fusion data of the liquid level to be monitored and the environmental state data within a set area when sending the millimeter radar wave signals; a correction analysis unit, configured to analyze a plurality of initial liquid level values of the liquid level to be monitored based on the signal round-trip time of each millimeter radar wave signal, and perform correction analysis in combination with the environmental state data within the set area corresponding to the liquid level to be monitored to obtain a plurality of corrected liquid level values of the liquid level to be monitored; a trend analysis unit, configured to analyze the corrected trend index of the liquid level to be monitored based on the plurality of corrected liquid level values of the liquid level to be monitored; a fusion analysis unit, configured to perform fusion analysis by respectively combining the plurality of corrected liquid level values of the liquid level to be monitored with the liquid level fusion data corresponding to the liquid level to be monitored to obtain a plurality of liquid level fusion values of the liquid level to be monitored; a risk assessment unit, configured to analyze the time-series risk assessment index of the liquid level to be monitored based on the corrected trend index and the plurality of liquid level fusion values of the liquid level to be monitored, and perform judgment analysis with a preset time-series risk assessment interval; an early warning unit, configured to send a liquid level abnormality alarm to relevant staff when the time-series risk assessment index of the liquid level to be monitored is outside the time-series risk assessment interval.

[0027] Specifically, as Figure 2As shown in the figure, the specific steps for analyzing the time - series risk assessment index of the liquid level to be monitored are as follows: Read several liquid - level fusion values of the liquid level to be monitored and conduct comprehensive analysis (i.e., mean analysis) to obtain the liquid - level fusion mean of the liquid level to be monitored; Obtain the highest safe threshold of the liquid level, the lowest safe threshold of the liquid level, and the safety offset of the liquid level to be monitored; Input the highest safe threshold of the liquid level, the lowest safe threshold of the liquid level, the safety offset, the correction trend index, and the liquid - level fusion mean of the liquid level to be monitored into the risk assessment model for risk analysis to obtain the time - series risk assessment index of the liquid level to be monitored.

[0028] Among them, the highest safe threshold of the liquid level refers to the upper limit within the liquid - level measurement range. When the liquid level approaches or exceeds this value, the system considers that the liquid level has reached a dangerous level, which may lead to leakage, overflow, or other safety hazards. It can be determined based on the design specifications of the equipment, the maximum load - bearing capacity, historical data, and safety standards. For liquid storage tanks, reservoirs, or other containers, the highest safe threshold can be calculated based on the maximum capacity of the container. For example, the highest water level of a reservoir may be determined by the dam design standards, historical flood data, and environmental factors; the highest liquid level of an oil tank will consider the maximum operating capacity and anti - overflow requirements, and through the feedback of engineering calculations and actual monitoring data, this threshold is continuously adjusted and confirmed.

[0029] The lowest safe threshold of the liquid level refers to the lower limit within the liquid - level measurement range. When the liquid level approaches or is lower than this value, the system considers that the liquid level has reached potential safety risks, which may lead to problems such as insufficient pumping, equipment damage, or fluid supply interruption. It can be determined according to the lowest working liquid level of the equipment, the suction height of the pump, and the minimum requirements for equipment operation. For example, for a water pump system, the lowest liquid - level threshold should consider the height between the suction port of the pump and the water surface to prevent air from entering the pump body and causing pump damage. For an oil tank, the lowest liquid - level threshold should consider whether it can maintain an effective flow supply and avoid running dry. The determination of the threshold needs to consider the operation requirements and safety standards of the equipment and be calibrated in combination with historical data.

[0030] The safety offset is the additional margin within the safe area of the liquid level. It is usually used to avoid misjudgment caused by liquid - level fluctuations. The safety offset provides a certain buffer zone to ensure that when the liquid level approaches the highest or lowest safe threshold, the system can intervene in advance to avoid extreme situations such as overflow or empty tank. It can be determined through historical data of liquid - level fluctuations and the stability of equipment operation. The specific acquisition method is to analyze the fluctuation range of the liquid level during normal operation, calculate the standard deviation of the liquid - level change, and then add some margins on this basis to ensure that the liquid - level fluctuation does not exceed the safe threshold. The size of the offset usually depends on the physical properties of the liquid (such as viscosity, flow rate, etc.) and the accuracy requirements of the monitoring equipment. During the design process, the most appropriate safety offset is determined through simulation and actual testing.

[0031] The risk assessment model is as follows: Among them, SxF is the time - series risk assessment index of the liquid level to be monitored, YrJ is the liquid level fusion mean of the liquid level to be monitored, AqX is the lowest safety threshold of the liquid level to be monitored, AqD is the highest safety threshold of the liquid level to be monitored, λ1 is the lower - limit risk impact coefficient stored in the database, XqS is the corrected trend index of the liquid level to be monitored, λ2 is the lower - limit risk adjustment coefficient stored in the database, χ is the safety offset of the liquid level to be monitored, ω is the normal risk adjustment coefficient stored in the database, μ1 is the upper - limit risk impact coefficient stored in the database, and μ2 is the upper - limit risk adjustment coefficient stored in the database.

[0032] It should be explained that the specific steps for obtaining the lower - limit risk impact coefficient λ1 and the lower - limit risk adjustment coefficient λ2 stored in the database are as follows: First, collect the liquid - level data when approaching the lower - limit threshold from the liquid - level monitoring system. These data should cover the dynamic changes of the liquid level near the lower limit, including the amplitude, frequency, and rate of liquid - level fluctuations. Use historical liquid - level data and actual risk data (such as accident incidence rate, alarm frequency, etc.) for regression analysis. By comparing the relationship between the liquid - level change when the liquid level approaches the lower limit and the risk, obtain the mode and trend of risk occurrence. Based on the analysis results, use statistical models (such as linear regression or machine - learning methods) to quantify the impact of the liquid level approaching the lower limit on the risk, so as to determine the lower - limit risk impact coefficient and the lower - limit risk adjustment coefficient. These coefficients reflect the contribution of liquid - level changes to risk assessment when the liquid level approaches the lower limit.

[0033] The specific steps for obtaining the normal risk adjustment coefficient ω stored in the database are as follows: Collect a series of liquid - level data within the normal range of the liquid level (that is, when not approaching the upper and lower limits). Through statistical analysis of the liquid - level change data within the normal range, establish a model for the impact of liquid - level changes on risk. Statistical methods (such as regression analysis, variance analysis, etc.) can be used to determine the relationship between liquid - level changes and risk. When the liquid level is within the normal range, analyze the correlation between the liquid - level change pattern and risk, and determine the normal risk adjustment coefficient. This coefficient is used to adjust the degree of influence of liquid - level changes on risk assessment to ensure the rationality of risk assessment when the liquid level is within the safe range.

[0034] The specific steps for obtaining the upper limit risk impact coefficient μ1 and the upper limit risk adjustment coefficient μ2 stored in the database are as follows: Similar to the steps for obtaining the lower limit risk impact coefficient, collect the liquid level data when the liquid level is close to the maximum safety threshold from the monitoring system. This data should include the amplitude, frequency, rate of liquid level fluctuations, and historical risk data when the liquid level is close to the upper limit. Analyze the relationship between the liquid level change and risk when the liquid level is close to the maximum safety threshold. Use historical data to perform a regression analysis on the relationship between the liquid level change and risk assessment, and find the pattern of risk exacerbation when the liquid level is close to the upper limit. Based on the historical data when the liquid level is close to the upper limit, quantify the non-linear relationship between the liquid level and risk through regression analysis or machine learning models. These models will output the upper limit risk impact coefficient and the upper limit risk adjustment coefficient, which are used to evaluate the risk level when the liquid level is close to the upper limit.

[0035] In this implementation plan, by comprehensively analyzing the liquid level fusion data and environmental factors, combining the correction trend of the liquid level and the risk assessment model, the time-series risk assessment index of the liquid level can be calculated in real time, providing timely warnings for abnormal fluctuations of the liquid level. By obtaining and applying the coefficients stored in the database (such as the lower limit risk impact coefficient, the lower limit risk adjustment coefficient, the normal risk adjustment coefficient, the upper limit risk impact coefficient, and the upper limit risk adjustment coefficient), the system can quantify the specific impact of the liquid level change on the risk according to different situations of the liquid level approaching the upper and lower limits, so as to more accurately evaluate the potential risks brought by the liquid level change. Especially through regression analysis and machine learning methods, combined with historical data and risk patterns, these coefficients can dynamically adjust the risk assessment for different liquid level states, ensuring the reliability and adaptability of the system in a changing environment, thereby improving the accuracy and safety of the liquid level monitoring system. This method enables the system to better cope with the complex liquid level change environment, give timely warnings, and reduce potential safety hazards.

[0036] Specifically, as Figure 3 shown, the specific steps for analyzing the correction trend index of the liquid level to be monitored are as follows: Read several liquid level correction values of the liquid level to be monitored, and analyze the liquid level correction change rate, the liquid level change acceleration, and the liquid level fluctuation index (i.e., the standard deviation) of the liquid level to be monitored; comprehensively analyze (i.e., weighted analysis) the liquid level correction change rate, the liquid level change acceleration, and the liquid level fluctuation index of the liquid level to be monitored to obtain the correction trend index of the liquid level to be monitored.

[0037] Among them, the implementation examples for calculating the liquid level correction change rate, the liquid level change acceleration, and the liquid level fluctuation index of the liquid level to be monitored are as follows. There is the following data, including eight liquid level correction values of the liquid level to be monitored, as shown in Table 1 and Figure 4 shown:

[0038] Table 1 Example of eight liquid level correction data of the liquid level to be monitored

[0039]

[0040] Analyzing the data examples in Table 1, we obtain:

[0041] The liquid level correction change rate of the liquid level to be monitored is approximately: 0.092.

[0042] The liquid level change acceleration of the liquid level to be monitored is approximately: -0.132.

[0043] The liquid level fluctuation index of the liquid level to be monitored is approximately: 0.012.

[0044] In this implementation, by analyzing the liquid level correction value of the liquid level to be monitored, calculating the liquid level correction change rate, liquid level change acceleration, and liquid level fluctuation index, and performing weighted analysis, the correction trend index can be obtained, which can effectively capture the dynamic characteristics of the liquid level change. This process helps the system to evaluate the rate, acceleration, and fluctuation degree of the liquid level change in real time, and can more accurately judge whether the liquid level shows an abnormal trend. Especially in the case of rapid liquid level fluctuation or drastic change, the correction trend index, as a comprehensive analysis index of the liquid level change trend, can give an early warning of the possible extreme fluctuations of the liquid level, thus providing timely warning information for the staff. In this way, the system can respond at the early stage of the liquid level change, avoid potential risks caused by too fast liquid level change, improve the accuracy of liquid level monitoring and the timeliness of warning, and further enhance the safety and reliability of liquid level management.

[0045] Specifically, the liquid level fusion data includes the image recognition liquid level value and the ultrasonic recognition liquid level value. The specific steps to obtain several liquid level fusion values of the liquid level to be monitored are as follows: Obtain the wind speed disturbance value in the set area of the liquid level to be monitored when continuously sending several millimeter radar wave signals to the liquid level to be monitored; Combine several liquid level correction values of the liquid level to be monitored with the image recognition liquid level value, ultrasonic recognition liquid level value, and wind speed disturbance value in the set area of the liquid level to be monitored when continuously sending several millimeter radar wave signals to the liquid level to be monitored for fusion analysis to obtain several liquid level fusion values of the liquid level to be monitored.

[0046] Among them, the image recognition liquid level value is the liquid level measurement value obtained through image processing technology. A high-precision camera or optical sensor is used to take a real-time picture of the liquid surface, and then the position of the liquid surface is identified through image processing algorithms (such as edge detection, threshold processing, morphological processing, etc.). By measuring the position of the liquid surface in the image, it is converted into the actual liquid level value, and the liquid level value is usually calculated according to the installation position of the camera, the size of the liquid container, and the image resolution.

[0047] The ultrasonic recognition liquid level value is obtained by measuring the distance between the liquid surface and the sensor with an ultrasonic sensor. The ultrasonic sensor emits ultrasonic signals and measures the time for the signals to be reflected and returned, calculates the distance between the liquid surface and the sensor, and then subtracts this distance from the height of the container to obtain the ultrasonic recognition liquid level value.

[0048] The wind speed disturbance value refers to the degree of interference of the wind speed on the liquid level measurement result. Wind speed changes, especially in open areas or environments where the liquid surface is exposed, will cause disturbances to the liquid surface, thereby affecting the accuracy of the liquid level. In the liquid level monitoring system, the wind speed disturbance value is used to represent the potential impact of wind speed changes on liquid level measurement. Wind speed disturbances can cause fluctuations in the liquid surface, resulting in measurement errors of the liquid level sensor. It can be obtained in the following way: First, use meteorological instruments or wind speed sensors (such as hot wire anemometers, ultrasonic wind speed sensors, etc.) to measure the wind speed in real time in the liquid level monitoring area, use cameras or other liquid level sensors to monitor the fluctuations of the liquid surface, record the frequency and amplitude of the liquid surface fluctuations, evaluate the impact of the wind speed on the liquid level measurement, compare the wind speed data with the liquid level change data, and analyze the relationship between the wind speed and the liquid level fluctuations. Through statistical analysis, regression modeling, or experimental data, determine the specific degree of interference of the wind speed on the liquid level measurement, and combine the liquid level fluctuation index and the wind speed change to calculate the wind speed disturbance value, which represents the specific impact of the wind speed change on the liquid level measurement result.

[0049] The specific formula for calculating a certain liquid level fusion value of the liquid surface to be monitored is as follows: Among them, YrH is a certain liquid level fusion value of the liquid surface to be monitored, YwX is a certain liquid level correction value of the liquid surface to be monitored, β1 is the liquid level correction weight coefficient stored in the database, TyW is the image recognition liquid level value of the liquid surface to be monitored when sending millimeter radar wave signals to the liquid surface to be monitored, β2 is the image liquid level weight coefficient stored in the database, CyW is the ultrasonic recognition liquid level value of the liquid surface to be monitored when sending millimeter radar wave signals to the liquid surface to be monitored, β3 is the ultrasonic liquid level weight coefficient stored in the database, FrD is the wind speed disturbance value in the set area of the liquid surface to be monitored when sending millimeter radar wave signals to the liquid surface to be monitored, and ψ is the wind speed disturbance influence coefficient stored in the database.

[0050] It should be noted that the specific steps for obtaining the liquid level correction weight coefficient β1, the image liquid level weight coefficient β2, the ultrasonic liquid level weight coefficient β3, and the wind speed disturbance influence coefficient ψ stored in the database are as follows: The liquid level correction weight coefficient is obtained through data analysis based on the relationship between historical liquid level correction data and actual liquid level correction. First, collect the correction data of different liquid levels of the liquid surface to be monitored, which come from the deviation between the sensor and the actual liquid level. Then, through methods such as regression analysis and statistical analysis, establish a relationship model between the liquid level correction value and the actual correction effect, so as to obtain the liquid level correction weight coefficient, which is used to calculate the weighted influence on the correction value during liquid level fusion; The image liquid level weight coefficient is determined based on the relationship between image recognition technology and actual liquid level data. First, use high-precision image recognition technology to measure the liquid surface height and collect experimental data related to the image recognition liquid level data. Then, by comparing the difference between the image data and the actual liquid level, use the statistical regression method to establish the relationship between the liquid level and the image recognition data, and finally obtain the image liquid level weight coefficient, which reflects the influence degree of the image data on liquid level fusion; The ultrasonic liquid level weight coefficient is obtained based on the relationship between the measurement data of the ultrasonic liquid level sensor and the actual liquid level data. The steps to obtain this coefficient include first measuring the liquid level using the ultrasonic sensor under different liquid level conditions and recording the liquid level deviation. Then, combined with the actual liquid level data, obtain the relationship between the measurement result of the ultrasonic liquid level sensor and the actual liquid level through methods such as regression analysis, and finally determine the ultrasonic liquid level weight coefficient, which represents the influence weight of the ultrasonic data in liquid level fusion; The wind speed disturbance influence coefficient is calculated based on the interference degree of the wind speed on the liquid level measurement. First, use meteorological equipment to measure the wind speed of the area where the liquid surface is located in real time and record the liquid level data and wind speed data. Under different wind speed conditions, measure the change of the liquid level, analyze the influence of the wind speed on the liquid level measurement, and through statistical analysis, obtain the relationship between the wind speed disturbance and the liquid level measurement error, so as to determine the wind speed disturbance influence coefficient, which reflects the influence of the wind speed change on the liquid level measurement result and is used for weighted correction during liquid level fusion.

[0051] In this implementation, by integrating data from multiple sensors, such as image recognition for liquid level, ultrasonic recognition for liquid level, millimeter radar wave signals, and wind speed disturbances, the accuracy and reliability of liquid level monitoring can be significantly improved. By weighted analysis of data from different sensors and considering the influence of environmental factors, the system can correct the liquid level on a multi-dimensional basis, thus eliminating the errors brought by single-sensor data. This method can comprehensively consider liquid level fluctuations, environmental interference, and sensor deviations, making the liquid level data more accurate, especially performing more excellently in complex environments. At the same time, using regression analysis and statistical modeling techniques, by dynamically correcting the weight coefficients to adjust the influence of each sensor, it ensures that accurate liquid level fusion values can be obtained in different situations, enhancing the adaptability, accuracy, and reliability of the liquid level monitoring system, providing a strong guarantee for practical applications.

[0052] Specifically, the environmental state data includes electromagnetic interference values (which can be measured and obtained through an electromagnetic interference measuring instrument), humidity values (which can be measured and obtained through a humidity sensor), and air pressure values (which can be measured and obtained through an air pressure sensor). The specific steps to obtain several liquid level correction values of the liquid level to be monitored are as follows: Based on several initial liquid level values of the liquid level to be monitored, analyze several liquid level disturbance indices of the liquid level to be monitored; comprehensively analyze the several initial liquid level values and liquid level disturbance indices of the liquid level to be monitored, combined with the electromagnetic interference value, humidity value, and air pressure value within the set area of the liquid level to be monitored when several millimeter radar wave signals are continuously sent to the liquid level to be monitored, to obtain several liquid level correction values of the liquid level to be monitored.

[0053] The specific steps to analyze several liquid level disturbance indices of the liquid level to be monitored are as follows: Obtain the lowest safe threshold of the liquid level of the liquid level to be monitored, and comprehensively analyze it combined with several initial liquid level values of the liquid level to be monitored to obtain several liquid level disturbance indices of the liquid level to be monitored.

[0054] Among them, the specific formula for calculating a certain liquid level disturbance index of the liquid level to be monitored is as follows: YrD = α ** ((YwC - AqX) σ ; where YrD is a certain liquid level disturbance index of the liquid level to be monitored, YwC is a certain initial liquid level value of the liquid level to be monitored, AqX is the lowest safe threshold of the liquid level of the liquid level to be monitored, σ is the disturbance response coefficient stored in the database, and α is the disturbance adjustment coefficient stored in the database.

[0055] It should be noted that the specific steps for obtaining the disturbance response coefficient σ and the disturbance correction coefficient α stored in the database are as follows: First, use precise measuring instruments to record the fluctuation data of the liquid level under different disturbance conditions; then, by comparing the differences between these disturbance data and the actual liquid level, methods such as regression analysis and statistical analysis are used to obtain the disturbance response coefficient, which represents the degree of influence of liquid level disturbance on the liquid level measurement result; for the disturbance correction coefficient, it is necessary to collect the deviation between the change of the liquid level and the actual measurement result under different liquid level disturbance conditions. Then, based on the fluctuation degree of the liquid level, the change rate of the liquid level disturbance, and other relevant factors, through statistical modeling or experimental research, a relationship model between the liquid level and the disturbance is established, and finally the disturbance correction coefficient is obtained for correcting the disturbance in the liquid level measurement.

[0056] The specific formula for calculating a certain liquid level correction value of the liquid level to be monitored is as follows: Among them, YwX is a certain liquid level correction value of the liquid level to be monitored, YwC is a certain initial liquid level value of the liquid level to be monitored, YrD is a certain liquid level disturbance index of the liquid level to be monitored, δ1 is the disturbance correction coefficient stored in the database, DcG is the electromagnetic interference value in the set area of the liquid level to be monitored when sending a millimeter radar wave signal to the liquid level to be monitored, δ2 is the positive electromagnetic interference coefficient stored in the database, SdZ is the humidity value in the set area of the liquid level to be monitored when sending a millimeter radar wave signal to the liquid level to be monitored, δ3 is the humidity correction coefficient stored in the database, QyZ is the air pressure value in the set area of the liquid level to be monitored when sending a millimeter radar wave signal to the liquid level to be monitored, and δ4 is the air pressure correction coefficient stored in the database.

[0057] It should be noted that the specific steps for obtaining the disturbance correction coefficient δ1, the positive electromagnetic interference coefficient δ, the humidity correction coefficient δ3, and the air pressure correction coefficient δ4 stored in the database are obtained through statistical analysis of the relationship between the liquid level measurement data and environmental factors (such as liquid level disturbance, electromagnetic interference, humidity, and air pressure). First, collect the liquid level measurement data under different environmental conditions and conduct experimental research to analyze the influence of the liquid level and each environmental factor (disturbance, electromagnetic interference, humidity, air pressure) on the measurement result. Then, use regression analysis or other statistical modeling methods to establish a mathematical relationship between the liquid level change and the environmental factors, and finally obtain the numerical values of each coefficient, which will be stored in the database for real-time liquid level correction calculation.

[0058] In this implementation scheme, by comprehensively analyzing the relationship between the liquid level correction value and environmental factors (such as electromagnetic interference, humidity, air pressure, etc.), the liquid level measurement result can be dynamically corrected, significantly improving the accuracy and reliability of liquid level monitoring. Through the combination of the initial liquid level value, the liquid surface disturbance index, and environmental data (electromagnetic interference, humidity, air pressure), the system can adjust the liquid level value in real time to eliminate the influence of external interference on the measurement result and ensure the high precision of liquid level data. In addition, through the disturbance response coefficient and environmental correction coefficient stored in the database, the system can accurately calculate the correction coefficient of the liquid level based on historical data and regression analysis, providing a stable reference for liquid level measurement. This method effectively improves the adaptability of the liquid level monitoring system in complex environments, reduces the negative impact of environmental factors on liquid level measurement, and enhances the timeliness and accuracy of the early warning system, providing a strong guarantee for the prediction and response to liquid level abnormal events.

[0059] Specifically, the specific steps for analyzing several initial liquid level values of the liquid surface to be monitored are as follows: Obtain the propagation speed value and incident angle value of the millimeter radar wave signal; comprehensively analyze the signal round-trip time of each millimeter radar wave signal by combining the propagation speed value and incident angle value of the millimeter radar wave signal respectively to obtain several initial liquid level values of the liquid surface to be monitored.

[0060] The specific formula for calculating several initial liquid level values of the liquid surface to be monitored is as follows: Among them, YwC i is the i-th initial liquid level value of the liquid surface to be monitored, CbS is the propagation speed value of the millimeter radar wave signal, which takes the value of the speed of light, i.e., 3×10 8 m / s, in this embodiment, WfS i is the signal round-trip time of the i-th millimeter radar wave signal, θ is the incident angle value of the millimeter radar wave signal, i = 1, 2, 3,..., i0, and i0 is the number of times the millimeter radar wave signal is sent.

[0061] In this implementation scheme, by combining the propagation speed, signal round-trip time, and incident angle value of the millimeter radar wave signal, the initial liquid level value of the liquid surface to be monitored is accurately calculated. This comprehensive analysis method can effectively improve the accuracy of liquid level measurement. Especially in the liquid level monitoring environment, factors such as the propagation characteristics and incident angle of the millimeter radar wave may have an important impact on the measurement result. By incorporating these factors into the calculation, the system can overcome the limitations in conventional liquid level measurement methods and reduce the interference of environmental factors on liquid level monitoring data. In addition, the assumption of using the speed of light as the propagation speed further ensures high-precision calculation during the signal propagation process, providing a stable and reliable basis for liquid level monitoring. In this way, the system can obtain a more accurate initial liquid level value, providing more accurate data support for subsequent liquid level correction and trend analysis, and improving the overall performance and reliability of the liquid level monitoring system.

[0062] Although the preferred embodiments of the present invention have been described, additional changes and modifications can be made to these embodiments by those skilled in the art once they learn the basic creative concept. Therefore, the appended claims are intended to be construed to include the preferred embodiments as well as all changes and modifications that fall within the scope of the present invention.

[0063] 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 equivalent technologies, the present invention is also intended to include these modifications and variations.

Claims

1. A liquid level monitoring and early warning system based on millimeter radar waves, characterized in that, Including: A data acquisition unit, which is used to continuously send a plurality of millimeter radar wave signals to the liquid level to be monitored within a set time period, record the signal round-trip time respectively, and synchronously acquire the liquid level fusion data of the liquid level to be monitored and the environmental state data within the set area when sending the millimeter radar wave signals; A correction and analysis unit, which is used to analyze a plurality of initial liquid level values of the liquid level to be monitored based on the signal round-trip time of each millimeter radar wave signal, and perform correction and analysis in combination with the environmental state data within the set area corresponding to the liquid level to be monitored to obtain a plurality of corrected liquid level values of the liquid level to be monitored; A trend analysis unit, which is used to analyze the correction trend index of the liquid level to be monitored based on a plurality of corrected liquid level values of the liquid level to be monitored; A fusion analysis unit, which is used to perform fusion analysis on a plurality of corrected liquid level values of the liquid level to be monitored in combination with the liquid level fusion data corresponding to the liquid level to be monitored respectively to obtain a plurality of liquid level fusion values of the liquid level to be monitored; A risk assessment unit, which is used to analyze the time-series risk assessment index of the liquid level to be monitored based on the correction trend index and a plurality of liquid level fusion values of the liquid level to be monitored, and perform judgment and analysis with a preset time-series risk assessment interval; An early warning unit, which is used to send a liquid level abnormality alarm to relevant staff when the time-series risk assessment index of the liquid level to be monitored is outside the time-series risk assessment interval; 2. The liquid level monitoring and early warning system based on millimeter radar wave according to claim 1, wherein The specific steps for analyzing the time-series risk assessment index of the liquid level to be monitored are as follows: Read a plurality of liquid level fusion values of the liquid level to be monitored and perform comprehensive analysis to obtain the liquid level fusion mean value of the liquid level to be monitored; Obtain the highest safe threshold of the liquid level, the lowest safe threshold of the liquid level, and the safety offset of the liquid level to be monitored; Input the highest safe threshold of the liquid level, the lowest safe threshold of the liquid level, the safety offset, the correction trend index, and the liquid level fusion mean value of the liquid level to be monitored into the risk assessment model respectively for risk analysis to obtain the time-series risk assessment index of the liquid level to be monitored.

3. The liquid level monitoring and early warning system based on millimeter radar wave according to claim 2, wherein The specific risk assessment model is as follows: Among them, SxF, YrJ, AqX, AqD, XqS, and χ are the time-series risk assessment index, the liquid level fusion mean value, the lowest safe threshold of the liquid level, the highest safe threshold of the liquid level, the correction trend index, and the safety offset of the liquid level to be monitored in sequence, and λ1, λ2, ω, μ1, and μ2 are the lower limit risk influence coefficient, the lower limit risk adjustment coefficient, the normal risk adjustment coefficient, the upper limit risk influence coefficient, and the upper limit risk adjustment coefficient stored in the database in sequence.

4. The liquid level monitoring and early warning system based on millimeter radar waves according to claim 1, characterized in that, The specific steps for analyzing the correction trend index of the liquid level to be monitored are as follows: Read a plurality of corrected liquid level values of the liquid level to be monitored and analyze the liquid level correction change rate, the liquid level change acceleration, and the liquid level fluctuation index of the liquid level to be monitored; Perform comprehensive analysis on the liquid level correction change rate, the liquid level change acceleration, and the liquid level fluctuation index of the liquid level to be monitored to obtain the correction trend index of the liquid level to be monitored.

5. The liquid level monitoring and early warning system based on millimeter radar wave according to claim 1, characterized in that The liquid level fusion data includes the image recognition liquid level value and the ultrasonic recognition liquid level value. The specific steps for obtaining a plurality of liquid level fusion values of the liquid level to be monitored are as follows: Obtain the wind speed disturbance value within the set area of the liquid level to be monitored when continuously sending a plurality of millimeter radar wave signals to the liquid level to be monitored; Several liquid level correction values of the liquid level to be monitored are respectively combined with the image recognition liquid level value, ultrasonic recognition liquid level value of the liquid level to be monitored when continuously sending several millimeter radar wave signals to the liquid level to be monitored, and the wind speed disturbance value within the set area for fusion analysis to obtain several liquid level fusion values of the liquid level to be monitored.

6. The liquid level monitoring and early warning system based on millimeter radar waves according to claim 5, characterized in that, The specific formula for calculating a certain liquid level fusion value of the liquid level to be monitored is as follows: Among them, YrH and YwX are a certain liquid level fusion value and a certain liquid level correction value of the liquid level to be monitored in sequence, TyW, CyW, and FrD are the image recognition liquid level value, ultrasonic recognition liquid level value of the liquid level to be monitored when sending millimeter radar wave signals to the liquid level to be monitored, and the wind speed disturbance value within the set area in sequence, and β1, β2, β3, and ψ are the liquid level correction weight coefficient, image liquid level weight coefficient, ultrasonic liquid level weight coefficient, and wind speed disturbance influence coefficient stored in the database in sequence.

7. The liquid level monitoring and early warning system based on millimeter radar waves according to claim 1, characterized in that, The environmental state data includes electromagnetic interference value, humidity value, and air pressure value. The specific steps for obtaining several liquid level correction values of the liquid level to be monitored are as follows: Based on several liquid level initial values of the liquid level to be monitored, analyze several liquid level disturbance indexes of the liquid level to be monitored; The several liquid level initial values and liquid level disturbance indexes of the liquid level to be monitored are respectively combined with the electromagnetic interference value, humidity value, and air pressure value within the set area of the liquid level to be monitored when continuously sending several millimeter radar wave signals to the liquid level to be monitored for comprehensive analysis to obtain several liquid level correction values of the liquid level to be monitored.

8. The liquid level monitoring and early warning system based on millimeter radar wave according to claim 7, characterized in that, The specific steps for analyzing several liquid level disturbance indexes of the liquid level to be monitored are as follows: Obtain the lowest safe threshold of the liquid level of the liquid level to be monitored, and respectively combine it with several liquid level initial values of the liquid level to be monitored for comprehensive analysis to obtain several liquid level disturbance indexes of the liquid level to be monitored.

9. The liquid level monitoring and early warning system based on millimeter radar wave according to claim 7, characterized in that, The specific formula for calculating a certain liquid level correction value of the liquid level to be monitored is as follows: Among them, YwX, YwC, and YrD are a certain liquid level correction value, a certain liquid level initial value, and a certain liquid level disturbance index of the liquid level to be monitored in sequence, DcG, SdZ, and QyZ are the electromagnetic interference value, humidity value, and air pressure value within the set area of the liquid level to be monitored when sending millimeter radar wave signals to the liquid level to be monitored in sequence, and δ1, δ2, δ3, and δ4 are the disturbance correction coefficient, electromagnetic interference positive coefficient, humidity correction coefficient, and air pressure correction coefficient stored in the database in sequence.

10. The liquid level monitoring and early warning system based on millimeter radar wave according to claim 1, characterized in that, The specific steps for analyzing several liquid level initial values of the liquid level to be monitored are as follows: Obtain the propagation speed value and incident angle value of the millimeter radar wave signal; The signal round-trip time of each millimeter radar wave signal is respectively combined with the propagation speed value and incident angle value of the millimeter radar wave signal for comprehensive analysis to obtain several liquid level initial values of the liquid level to be monitored.

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