Intelligent test and analysis system for performance of liquid pump for spraying machine

Abstract

The invention discloses a sprayer liquid pump performance intelligent test analysis system, and relates to the technical field of sprayer testing, the sprayer liquid pump performance intelligent test analysis system comprises a data management center, the data management center is in communication connection with a data collection module, a data correction processing module, a data analysis module, a diagnosis and early warning module, a monitoring feedback module and a display and printing module; wherein the modules are connected through electric signals, the data collection module is used for collecting working data of the liquid pump and testing environment data of the liquid pump, and the working data comprise real-time data and historical data. By integrating the high-precision sensor and the real-time data processing technology, key performance indexes such as the working pressure, the flow and the efficiency of the liquid pump can be monitored in real time, the precision and the reliability of performance testing of the liquid pump are remarkably improved, and an operator can rapidly master the working state of the liquid pump and find potential performance reduction or fault signs in time.

Description

Technical Field

[0001] The invention relates to the technical field of sprayer testing, and in particular to an intelligent testing and analysis system for a liquid pump performance for a sprayer. Background Art

[0002] Sprayers are important plant protection equipment in agricultural production, used for pest control, fertilization and other operations. The performance of the liquid pump, as the core component of the sprayer, directly affects the spray effect and the spraying uniformity of the liquid medicine, the size of the droplets, etc. The scientific research and development of sprayers and liquid pumps requires comprehensive and accurate testing of their performance to help researchers analyze the performance of liquid pumps under different working conditions, and provide a reliable basis for the design optimization of liquid pumps and the development of new sprayers. In the production process of liquid pumps and sprayers, strict quality inspections are required for the products to ensure that their performance meets the standard requirements. Through intelligent testing and analysis of the liquid pump, the performance parameters of the liquid pump, such as pressure, flow, speed, etc., can be accurately detected, thereby optimizing the spraying effect of the sprayer, achieving precise application of pesticides, reducing pesticide waste and environmental pollution, and improving production efficiency and product quality.

[0003] In the prior art, the performance test bench for the liquid pump for sprayers mostly adopts the traditional method based on manual operation, which is easy to cause random errors, negligent errors and data reading errors, and the intelligent test and analysis system will also be affected by various factors such as environmental factors and equipment status. For example, a high temperature environment may cause aging of the seals of the liquid pump and affect its sealing performance; a low temperature environment may affect the startup and operation of the liquid pump, thereby reducing the accuracy of the test results. Therefore, how to reduce the impact of external factors and improve the test accuracy is the problem we need to solve. Now, a liquid pump performance intelligent test and analysis system for a sprayer is proposed. Summary of the invention

[0004] The object of the present invention is to provide an intelligent testing and analyzing system for the performance of a liquid pump for a sprayer, so as to solve the problems raised in the above-mentioned background technology.

[0005] In order to solve the above technical problems, the technical solution adopted by the present invention is: A liquid pump performance intelligent testing and analysis system for a sprayer includes a data management center, wherein the data management center is communicatively connected to a data collection module, a data correction processing module, a data analysis module, a diagnosis and early warning module, a monitoring feedback module, and a display and printing module, wherein electrical signals are connected between the modules; The data collection module is used to collect the working data of the liquid pump and the test environment data of the liquid pump, wherein the working data includes real-time data and historical data, the working data includes pressure, flow, speed and torque, etc., and the test environment data includes temperature, humidity, air pressure, electromagnetic interference, etc.; The data correction processing module is used to correct and preprocess the collected working data and test environment data to ensure the accuracy and consistency of the data, reduce the analysis deviation caused by data errors or inconsistencies, and extract environmental influencing factors and operating status influencing factors; The data analysis module analyzes the correlation between the working data and the test environment data based on the extracted environmental impact factors and operating status impact factors, builds a liquid pump performance analysis model, obtains the environmental impact index and the operating status impact index, and calculates the performance indicators of the liquid pump, such as volumetric efficiency, total efficiency, etc., and generates corresponding performance curves to find out potential problems and improvement directions, providing a scientific basis for the optimization design and quality control of the liquid pump; The diagnosis and early warning module obtains the liquid pump evaluation coefficient based on the environmental impact index and the operating status impact index, and diagnoses the operating status of the liquid pump in real time to determine the abnormal level of the operating status of the liquid pump; The monitoring feedback module is used to collect feedback data according to the operating status of the liquid pump, to evaluate the effectiveness of the system performance and optimization strategy, to adjust and optimize the operating status of the liquid pump in real time, to obtain a test report, and to record the performance indicators, operating status and abnormal information of the liquid pump; The display and printing module is used to display the test report, performance curve, and diagnostic information in the form of intuitive charts and numbers on the display screen to show the performance indicators and operating status of the liquid pump, and provides a printing function to print out important test reports and data results for easy archiving and subsequent reference.

[0006] A further improvement of the technical solution of the present invention is that in the data collection module, the collection process of the working data and the test environment data of the liquid pump is as follows: Build a lifting platform, and adjust the height of the lifting platform to achieve a good connection between the liquid pump and the power source to ensure the stability of the pump during operation. At the same time, deploy sensors on the liquid pump, set the data collection frequency, collect the working data of the liquid pump in real time, and extract historical data from the previous test records of the liquid pump. The real-time data and historical data obtained are transmitted to the data management center through wireless transmission; Equip the test environment with environmental sensors to monitor and collect test environment data in real time, including temperature, humidity, air pressure, and electromagnetic interference; A database is built in the data management center to store working data and the test environment data of the liquid pump, and the working data and the test environment data of the liquid pump are backed up. A combination of local backup and cloud backup is used to ensure data security and recoverability.

[0007] A further improvement of the technical solution of the present invention is that in the data correction processing module, the extraction process of the environmental impact factor and the operating state impact factor is as follows: Perform outlier detection, data smoothing and data conversion on the collected working data and test environment data, and calibrate the sensors to ensure their measurement accuracy; Based on the pre-processed working status data, feature extraction is performed for pressure, flow, speed, and torque respectively to obtain the influencing factors of the operating status, analyze the change trend and fluctuation range of pressure, flow, speed, and torque, and evaluate the operating efficiency of the liquid pump; Feature extraction is performed on the preprocessed test environment data, and feature extraction is performed on temperature, humidity, air pressure and electromagnetic interference respectively to obtain environmental influencing factors, and analyze the correlation between temperature, humidity, air pressure and electromagnetic interference and the operating efficiency of the liquid pump.

[0008] A further improvement of the technical solution of the present invention is that in the data analysis module, the process of obtaining the environmental impact index, the operating status impact index and the performance index of the liquid pump is as follows: Integrate the corrected and preprocessed data with the extracted environmental impact factors and operating status impact factors to form a complete data set; A liquid pump performance analysis model is constructed using multivariate linear regression. Specifically, the extracted features are used as input variables and the performance indicators of the liquid pump are used as output variables to construct the liquid pump performance analysis model. Statistical methods are used to analyze the correlation between working data and test environment data. At the same time, the correlation data of environmental influencing factors and operating status influencing factors are feature encoded. The integrated data set is divided into a training set, a validation set, and a test set. The training set data is used to train the liquid pump performance analysis model, and the validation set and test set data are used to verify the trained liquid pump performance analysis model. The performance of the liquid pump performance analysis model is evaluated, and the model is adjusted and optimized according to the evaluation results. The trained liquid pump performance analysis model is used to obtain the environmental impact index and the operating status impact index. The real-time data and historical data after correction and preprocessing are used to calculate the performance indicators of the liquid pump, including volumetric efficiency, total efficiency, etc. The calculated performance indicators are used to draw the performance curve of the liquid pump.

[0009] A further improvement of the technical solution of the present invention is that the calculation formula of the environmental impact index is: ; Among them, EII is the environmental impact index, is the actual measured value of the i-th environmental impact factor, is the standard value of the i-th environmental impact factor, n is the total number of environmental impact factors, T is the current ambient temperature, It is the ambient temperature when the liquid pump performs best; The calculation formula of the operating status impact index is: ; Among them, OII is the operating status impact index, is the actual measured value of the jth operating status factor, is the reference value or rated value of the jth operating status factor, is the weight of the jth operating status factor, m is the total number of operating status factors, is the deviation between the actual speed of the liquid pump and the rated speed, is the rated speed of the liquid pump.

[0010] A further improvement of the technical solution of the present invention is that in the diagnosis and early warning module, the process of obtaining the liquid pump evaluation coefficient is: Traverse the pre-processed historical data, combine the environmental impact index and the operating status impact index with the previous test records of the liquid pump, and analyze the correlation between the environmental impact index and the operating status impact index; According to the results of the correlation analysis, different weights are assigned to the environmental impact index and the operating status impact index, and weighted calculation is performed to calculate the liquid pump evaluation coefficient; Diagnose the operating status of the liquid pump according to the preprocessed working data, judge the operating status of the liquid pump, and determine different abnormal levels, namely, slight abnormal level, moderate abnormal level, and severe abnormal level; Match different abnormality levels with the results of the liquid pump evaluation coefficient, and set corresponding abnormality evaluation thresholds for different abnormality levels. If the liquid pump evaluation coefficient value exceeds the high threshold, the liquid pump may be in a serious abnormal state; if the liquid pump evaluation coefficient value is between the low threshold and the high threshold, the liquid pump may be in a moderate abnormal state; if the liquid pump evaluation coefficient value is lower than the low threshold, the liquid pump may be in a normal or slightly abnormal state; take appropriate measures to deal with it according to the determined abnormality level.

[0011] A further improvement of the technical solution of the present invention is that the calculation formula of the liquid pump evaluation coefficient is: ; Among them, PEC is the liquid pump evaluation coefficient, EII is the environmental impact index, is the baseline value of the environmental impact index. is the standard deviation of the environmental impact index, OII is the operating status impact index, is the baseline value of the operating status impact index, is the standard deviation of the operating status influence index, Z represents other temperature-related factors that affect the performance of the liquid pump, which can be ambient temperature, pump internal temperature, etc., and is determined specifically according to the characteristics of the liquid pump, and P represents pressure-related factors that affect the performance of the liquid pump, which can be working pressure, system pressure, etc., and is determined specifically according to the characteristics of the liquid pump. is a function of temperature and pressure.

[0012] A further improvement of the technical solution of the present invention is that: the multiple abnormality levels correspond to multiple abnormality assessment thresholds, wherein the abnormality assessment thresholds include an upper threshold and a lower threshold; The multiple abnormality levels and the multiple abnormality assessment thresholds satisfy the following relationship: Slight abnormality level ; Moderate abnormality level ; Severe abnormality level ; Among them, PEC is the liquid pump evaluation coefficient, C1 is the upper threshold corresponding to the slight abnormality level and the lower threshold corresponding to the moderate abnormality level, and C2 is the upper threshold corresponding to the moderate abnormality level and the lower threshold corresponding to the severe abnormality level.

[0013] A further improvement of the technical solution of the present invention is that: in the monitoring feedback module, the process of obtaining the test report is as follows: Input the pre-processed real-time data into the liquid pump performance analysis model to calculate the environmental impact index and the operating status impact index; Combine the environmental impact index and operating status impact index to obtain the liquid pump evaluation coefficient, and judge the operating status of the liquid pump. When the current abnormal situation is confirmed, generate corresponding feedback information to determine the performance and problems of the liquid pump in actual operation. The feedback information should include the abnormal type, degree of abnormality, possible causes and recommended solutions; According to the collected real-time data and feedback data, the operating parameters of the liquid pump are adjusted in real time, such as pressure, flow, temperature, etc., and a performance evaluation report is generated at the same time. The performance evaluation report includes the operating status, performance parameters, abnormal records, adjustment measures and future optimization suggestions of the liquid pump; According to the operating status and performance evaluation report of the liquid pump, an optimization strategy is formulated. According to the operating status and optimization strategy of the liquid pump, performance test and reliability test are carried out on the liquid pump. Various data during the test process are recorded, such as pressure changes, flow fluctuations, temperature stability, etc. A test report is written based on the test results. The report should include the test purpose, test method, test results, problem analysis and improvement suggestions.

[0014] A further improvement of the technical solution of the present invention is that: in the display and printing module, the process of displaying the performance index and operating status of the liquid pump is: Based on the obtained performance evaluation report, performance curve and operating status of the liquid pump, time series data is comprehensively obtained; Use chart drawing tools to design corresponding chart types, draw preprocessed data into charts, and adjust the style, color, and font of the charts; The display screen displays performance indicators and operating status data in the form of numbers, percentages, and progress bars. Print setting options are also provided to allow users to select print content.

[0015] Due to the adoption of the above technical solution, the present invention has the following technical advances compared with the prior art: The present invention provides an intelligent testing and analysis system for the performance of a liquid pump for a sprayer. By integrating sensors and real-time data processing technology, the system can monitor key performance indicators such as the working pressure, flow rate, and efficiency of the liquid pump in real time, significantly improving the accuracy and reliability of the liquid pump performance test, so that operators can quickly grasp the working status of the liquid pump and promptly discover potential performance degradation or failure signs.

[0016] The present invention provides an intelligent testing and analysis system for the performance of a liquid pump for a sprayer. The system evaluates the performance of the liquid pump based on historical data and the current operating status of the liquid pump, predicts its changing trend, and generates a detailed diagnostic report to indicate the specific location and possible causes of the fault. In addition, the system provides targeted maintenance suggestions based on the diagnostic results, including maintenance steps, required tools and spare parts information, etc., which not only improves maintenance efficiency, but also reduces maintenance costs and extends the service life of the liquid pump.

[0017] The present invention provides an intelligent testing and analysis system for the performance of a liquid pump for a sprayer. Through automated data collection and processing procedures, the system monitors the operating status of the liquid pump in real time and generates a performance evaluation report in a timely manner, which not only improves the safety and stability of the liquid pump operation, but also reduces production downtime caused by equipment failure, thereby improving production efficiency. By calculating the liquid pump evaluation coefficient and comprehensively considering the environmental impact index and the operating status impact index, the performance of the liquid pump is comprehensively evaluated. In addition, the system generates detailed performance curves, intuitively displays the performance of the liquid pump under different working conditions, and provides an important reference basis for performance optimization of the liquid pump. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0019] Figure 1 It is a module structure diagram of the present invention; Figure 2 A flow chart for obtaining the environmental impact index, the operating status impact index and the performance index of the liquid pump of the present invention; Figure 3 This is a flow chart for obtaining the liquid pump evaluation coefficient of the present invention. DETAILED DESCRIPTION

[0020] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] Embodiment 1, as Figures 1 to 3 As shown, the present invention provides an intelligent testing and analysis system for the performance of a liquid pump for a sprayer, including a data management center, the data management center is communicatively connected with a data collection module, a data correction processing module, a data analysis module, a diagnosis and early warning module, a monitoring feedback module and a display and printing module, wherein the modules are connected by electrical signals; The data collection module is used to collect the working data of the liquid pump and the test environment data of the liquid pump, wherein the working data includes real-time data and historical data, the working data includes pressure, flow, speed and torque, etc., and the test environment data includes temperature, humidity, air pressure, electromagnetic interference, etc. In the data collection module, the collection process of the working data and the test environment data of the liquid pump is as follows: build a lifting platform, and achieve a good connection between the liquid pump and the power source by adjusting the height of the lifting platform to ensure the stability of the pump during operation. At the same time, sensors are deployed on the liquid pump, and the data collection frequency is set to collect the working data of the liquid pump in real time. Historical data is extracted from the previous test records of the liquid pump, and the acquired real-time data and historical data are transmitted to the data management center by wireless transmission. The pressure sensor: installed at the water inlet, outlet and return outlet of the liquid pump, used to monitor the water inlet pressure, water outlet pressure and return water pressure in real time, Flow sensor: installed at the outlet of the liquid pump to monitor the flow rate in real time. Speed ​​sensor: installed on the drive motor or pump shaft of the liquid pump to monitor the speed of the pump in real time. Torque sensor: installed on the drive shaft of the liquid pump to monitor the torque in real time. Temperature sensor: installed on the water inlet, outlet and pump body of the liquid pump to monitor the water temperature and pump body temperature. Humidity sensor: installed at an appropriate location in the test environment to monitor the ambient humidity. Air pressure sensor: installed at an appropriate location in the test environment to monitor the ambient air pressure. Equip the test environment with environmental sensors to monitor and collect test environment data in real time, including temperature, humidity, air pressure and electromagnetic interference. Build a database in the data management center to store working data and test environment data of the liquid pump, and back up the working data and test environment data of the liquid pump. Use a combination of local backup and cloud backup to ensure data security and recoverability. The data correction processing module is used to correct and preprocess the collected working data and test environment data to ensure the accuracy and consistency of the data, reduce the analysis deviation caused by data errors or inconsistencies, and extract environmental influencing factors and operating status influencing factors; in the data correction processing module, the extraction process of environmental influencing factors and operating status influencing factors is: outlier detection, data smoothing and data conversion are performed on the collected working data and test environment data, and the sensor is calibrated to ensure its measurement accuracy, feature extraction is performed based on the preprocessed working status data, and feature extraction is performed for pressure, flow, speed, and torque respectively to obtain operating status influencing factors, analyze the changing trends and fluctuation ranges of pressure, flow, speed, and torque, evaluate the operating efficiency of the liquid pump, and feature extraction is performed through the preprocessed test environment data, and feature extraction is performed for temperature, humidity, air pressure, and electromagnetic interference respectively to obtain environmental influencing factors, and analyze the correlation between temperature, humidity, air pressure, and electromagnetic interference and the operating efficiency of the liquid pump; The data analysis module analyzes the correlation between the working data and the test environment data based on the extracted environmental impact factors and operating status impact factors, builds a liquid pump performance analysis model, obtains the environmental impact index and the operating status impact index, and calculates the performance indicators of the liquid pump, such as volumetric efficiency, total efficiency, etc., and generates corresponding performance curves to find out potential problems and improvement directions, providing a scientific basis for the optimization design and quality control of the liquid pump; in the data analysis module, the process of obtaining the environmental impact index, the operating status impact index and the performance indicators of the liquid pump is: integrating the corrected and preprocessed data with the extracted environmental impact factors and the operating status impact factors to form a complete data set, and using multivariate linear regression to build a liquid pump performance analysis model, specifically using the extracted features as input variables and the performance indicators of the liquid pump as output variables to build a liquid pump performance analysis model, and using statistical methods to analyze the correlation between the working data and the test environment data, and at the same time characterizing the correlation data of the environmental impact factors and the operating status impact factors. Coding, dividing the integrated data set into a training set, a validation set and a test set, using the training set data to train the liquid pump performance analysis model, and using the validation set and test set data to verify the trained liquid pump performance analysis model, evaluating the performance of the liquid pump performance analysis model, and adjusting and optimizing the model according to the evaluation results, using the trained liquid pump performance analysis model to obtain the environmental impact index and the operating status impact index, and using the corrected and pre-processed real-time data and historical data to calculate the performance indicators of the liquid pump, including volumetric efficiency, total efficiency, etc., and using the calculated performance indicators to draw the performance curve of the liquid pump, such as the flow-head curve, the flow-efficiency curve, etc., selecting appropriate horizontal and vertical coordinate variables, and drawing according to the calculated performance indicator data. In the drawing process, data fitting techniques, such as polynomial fitting, spline fitting, etc., can be used to make the curve smoother and accurately reflect the trend of the data. At the same time, elements such as legends, axis labels and titles are added to make the performance curve easy to understand and analyze; The diagnosis and early warning module obtains the evaluation coefficient of the liquid pump based on the environmental impact index and the operating status impact index, and diagnoses the operating status of the liquid pump in real time to determine the abnormal level of the operating status of the liquid pump; in the diagnosis and early warning module, the process of obtaining the evaluation coefficient of the liquid pump is as follows: traverse the pre-processed historical data, combine the environmental impact index and the operating status impact index with the previous test records of the liquid pump, analyze the degree of correlation between the environmental impact index and the operating status impact index, assign different weights to the environmental impact index and the operating status impact index according to the results of the correlation analysis, and perform weighted calculation to calculate the evaluation coefficient of the liquid pump, and diagnose the pre-processed working data. The operating status of the liquid pump is determined, and different abnormal levels are determined, namely, slight abnormal level, moderate abnormal level, and severe abnormal level. Different abnormal levels are matched with the results of the liquid pump evaluation coefficient, and corresponding abnormal evaluation thresholds are set for different abnormal levels. If the liquid pump evaluation coefficient value exceeds the high threshold, the liquid pump may be in a severe abnormal state; if the liquid pump evaluation coefficient value is between the low threshold and the high threshold, the liquid pump may be in a moderate abnormal state; if the liquid pump evaluation coefficient value is lower than the low threshold, the liquid pump may be in a normal or slightly abnormal state; according to the determined abnormal level, take appropriate measures to deal with it. For example, for a liquid pump in a severe abnormal state, it may be necessary to shut down for maintenance immediately; for a liquid pump in a moderate abnormal state, monitoring can be strengthened and spare parts can be prepared for maintenance; for a liquid pump in a slightly abnormal or normal state, it can continue to operate and strengthen daily maintenance; The monitoring and feedback module is used to collect feedback data according to the operating status of the liquid pump, which is used to evaluate the effectiveness of system performance and optimization strategies, make real-time adjustments and optimizations to the operating status of the liquid pump, obtain test reports, and record the performance indicators, operating status, and abnormal information of the liquid pump; the monitoring and feedback module, the test report acquisition process is: input the pre-processed real-time data into the liquid pump performance analysis model, calculate the environmental impact index and the operating status impact index, combine the obtained environmental impact index and the operating status impact index, obtain the liquid pump evaluation coefficient, and judge the operating status of the liquid pump at the same time. When the current abnormal situation is confirmed, the corresponding feedback information is generated to determine the performance and problems of the liquid pump in actual operation. The feedback information should include the type of abnormality, the degree of abnormality, and the possible Causes of failure and suggested solutions. According to the collected real-time data and feedback data, the operating parameters of the liquid pump are adjusted in real time, such as adjusting pressure, flow, temperature, etc. At the same time, a performance evaluation report is generated. The performance evaluation report includes the operating status, performance parameters, abnormal records, adjustment measures and future optimization suggestions of the liquid pump. According to the operating status and performance evaluation report of the liquid pump, an optimization strategy is formulated. According to the operating status and optimization strategy of the liquid pump, the performance test and reliability test of the liquid pump are carried out, and various data during the test process are recorded, such as pressure changes, flow fluctuations, temperature stability, etc., and a test report is written according to the test results. The report should include the test purpose, test methods, test results, problem analysis and improvement suggestions; The display and printing module is used to display the performance indicators and operating status of the liquid pump on the display screen in the form of intuitive charts and numbers based on the test reports, performance curves, and diagnostic information, and provides a printing function that can print out important test reports and data results for easy archiving and subsequent reference; in the display and printing module, the process of displaying the performance indicators and operating status of the liquid pump is as follows: based on the acquired performance evaluation report, performance curve, and operating status of the liquid pump, the time series data is comprehensively obtained, and the corresponding chart type is designed using a chart drawing tool, and the pre-processed data is drawn into a chart, and the style, color, and font of the chart are adjusted to display the performance indicators and operating status data on the display screen, and the data is displayed in the form of numbers, percentages, and progress bars. At the same time, print setting options are provided to allow users to select print content.

[0022] Embodiment 2, as Figures 1 to 3 As shown, based on Example 1, the present invention provides a technical solution: Preferably, the calculation formula of the environmental impact index is: ; Among them, EII is the environmental impact index, is the actual measured value of the i-th environmental impact factor, is the standard value of the i-th environmental impact factor, n is the total number of environmental impact factors, T is the current ambient temperature, It is the ambient temperature when the liquid pump performs best; The calculation formula of the operating status impact index is: ; Among them, OII is the operating status impact index, is the actual measured value of the jth operating status factor, is the reference value or rated value of the jth operating status factor, is the weight of the jth operating status factor, m is the total number of operating status factors, is the deviation between the actual speed of the liquid pump and the rated speed, is the rated speed of the liquid pump; The calculation formula for the liquid pump evaluation coefficient is: ; Among them, PEC is the liquid pump evaluation coefficient, EII is the environmental impact index, is the baseline value of the environmental impact index. is the standard deviation of the environmental impact index, OII is the operating status impact index, is the baseline value of the operating status impact index, is the standard deviation of the operating status influence index, Z represents other temperature-related factors that affect the performance of the liquid pump, which can be ambient temperature, pump internal temperature, etc., and is determined specifically according to the characteristics of the liquid pump, and P represents pressure-related factors that affect the performance of the liquid pump, which can be working pressure, system pressure, etc., and is determined specifically according to the characteristics of the liquid pump. is a function of temperature and pressure; Multiple abnormality levels correspond to multiple abnormality assessment thresholds, wherein the abnormality assessment threshold includes an upper threshold and a lower threshold; Multiple anomaly levels and multiple anomaly assessment thresholds satisfy the following relationship: Slight abnormality level ; Moderate abnormality level ; Severe abnormality level ; Among them, PEC is the liquid pump evaluation coefficient, C1 is the upper threshold corresponding to the slight abnormality level and the lower threshold corresponding to the moderate abnormality level, and C2 is the upper threshold corresponding to the moderate abnormality level and the lower threshold corresponding to the severe abnormality level.

[0023] The above are only specific implementations of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. An intelligent testing and analysis system for the performance of a liquid pump for a sprayer, comprising a data management center, characterized in that: The data management center is communicatively connected with a data collection module, a data correction processing module, a data analysis module, a diagnosis and early warning module, a monitoring feedback module, and a display and printing module, wherein electrical signals are connected between the modules; The data collection module is used to collect the working data of the liquid pump and the test environment data of the liquid pump, wherein the working data includes real-time data and historical data; The data correction processing module is used to correct and preprocess the collected working data and test environment data, and extract environmental influencing factors and operating status influencing factors; The data analysis module analyzes the correlation between the working data and the test environment data based on the extracted environmental impact factors and operating status impact factors, constructs a liquid pump performance analysis model, obtains the environmental impact index and the operating status impact index, calculates the performance index of the liquid pump, and generates a corresponding performance curve; The diagnosis and early warning module obtains the liquid pump evaluation coefficient based on the environmental impact index and the operating status impact index, and diagnoses the operating status of the liquid pump in real time to determine the abnormal level of the operating status of the liquid pump; The monitoring feedback module is used to collect feedback data according to the operating status of the liquid pump, adjust and optimize the operating status of the liquid pump in real time, and obtain a test report; The display and printing module is used to display the performance indicators and operating status of the liquid pump on the display screen in the form of intuitive charts and numbers, including test reports, performance curves, and diagnostic information, and provides a printing function.

2. The intelligent testing and analysis system for liquid pump performance for a sprayer according to claim 1, characterized in that: In the data collection module, the collection process of the working data and the test environment data of the liquid pump is as follows: Build a lifting platform, and connect the liquid pump to the power source by adjusting the height of the lifting platform. At the same time, deploy sensors on the liquid pump, set the data collection frequency, collect the working data of the liquid pump in real time, and extract historical data from the previous test records of the liquid pump. The real-time data and historical data obtained are transmitted to the data management center by wireless transmission; Equip the test environment with environmental sensors to monitor and collect test environment data in real time, including temperature, humidity, air pressure, and electromagnetic interference; A database is constructed in the data management center to store the working data and the test environment data of the liquid pump, and the working data and the test environment data of the liquid pump are backed up.

3. The intelligent testing and analysis system for liquid pump performance for a sprayer according to claim 2, characterized in that: In the data correction processing module, the extraction process of the environmental impact factor and the operating status impact factor is as follows: Perform outlier detection, data smoothing and data conversion on the collected working data and test environment data, and calibrate the sensors; Based on the pre-processed working status data, feature extraction is performed for pressure, flow, speed, and torque respectively to obtain the influencing factors of the operating status, analyze the change trend and fluctuation range of pressure, flow, speed, and torque, and evaluate the operating efficiency of the liquid pump; Feature extraction is performed on the preprocessed test environment data, and feature extraction is performed on temperature, humidity, air pressure and electromagnetic interference respectively to obtain environmental influencing factors, and analyze the correlation between temperature, humidity, air pressure and electromagnetic interference and the operating efficiency of the liquid pump.

4. The intelligent testing and analysis system for the performance of a liquid pump for a sprayer according to claim 3, characterized in that: In the data analysis module, the process of obtaining the environmental impact index, the operating status impact index and the performance index of the liquid pump is as follows: Integrate the corrected and preprocessed data with the extracted environmental impact factors and operating status impact factors to form a complete data set; Use multivariate linear regression to build a liquid pump performance analysis model, and use statistical methods to analyze the correlation between working data and test environment data, and perform feature coding on the correlation data of environmental influencing factors and operating status influencing factors; The integrated data set is divided into a training set, a validation set, and a test set. The training set data is used to train the liquid pump performance analysis model, and the validation set and test set data are used to verify the trained liquid pump performance analysis model to evaluate the performance of the liquid pump performance analysis model. The trained liquid pump performance analysis model is used to obtain the environmental impact index and the operating status impact index. The performance indicators of the liquid pump are calculated using the corrected and preprocessed real-time data and historical data. The calculated performance indicators are then used to draw the performance curve of the liquid pump.

5. The intelligent testing and analysis system for the performance of a liquid pump for a sprayer according to claim 4, characterized in that: The calculation formula of the environmental impact index is: ； Among them, EII is the environmental impact index, is the actual measured value of the i-th environmental impact factor, is the standard value of the i-th environmental impact factor, n is the total number of environmental impact factors, T is the current ambient temperature, It is the ambient temperature when the liquid pump performs best; The calculation formula of the operating status impact index is: ； Among them, OII is the operating status impact index, is the actual measured value of the jth operating status factor, is the reference value or rated value of the jth operating status factor, is the weight of the jth operating status factor, m is the total number of operating status factors, is the deviation between the actual speed of the liquid pump and the rated speed, is the rated speed of the liquid pump.

6. The intelligent testing and analysis system for the performance of a liquid pump for a sprayer according to claim 5, characterized in that: In the diagnosis and warning module, the process of obtaining the liquid pump evaluation coefficient is as follows: Traverse the pre-processed historical data, combine the environmental impact index and the operating status impact index with the previous test records of the liquid pump, and analyze the correlation between the environmental impact index and the operating status impact index; According to the results of the correlation analysis, different weights are assigned to the environmental impact index and the operating status impact index, and weighted calculation is performed to calculate the liquid pump evaluation coefficient; Diagnose the operating status of the liquid pump according to the preprocessed working data, judge the operating status of the liquid pump, and determine different abnormal levels, namely, slight abnormal level, moderate abnormal level, and severe abnormal level; Different abnormality levels are matched with the results of the liquid pump evaluation coefficient, and corresponding abnormality evaluation thresholds are set for different abnormality levels.

7. The intelligent testing and analysis system for the performance of a liquid pump for a sprayer according to claim 6, characterized in that: The calculation formula of the liquid pump evaluation coefficient is: ； Among them, PEC is the liquid pump evaluation coefficient, EII is the environmental impact index, is the baseline value of the environmental impact index. is the standard deviation of the environmental impact index, OII is the operating status impact index, is the baseline value of the operating status impact index, is the standard deviation of the operating status influence index, Z represents other temperature-related factors affecting the performance of the liquid pump, and P represents the pressure-related factors affecting the performance of the liquid pump.

8. The intelligent testing and analysis system for the performance of a liquid pump for a sprayer according to claim 7, characterized in that: The plurality of abnormality levels correspond to the plurality of abnormality assessment thresholds, wherein the abnormality assessment thresholds include an upper threshold and a lower threshold; The multiple abnormality levels and the multiple abnormality assessment thresholds satisfy the following relationship: Slight abnormality level ; Moderate abnormality level 2; Severe abnormality level ; Among them, PEC is the liquid pump evaluation coefficient, C1 is the upper threshold corresponding to the slight abnormality level and the lower threshold corresponding to the moderate abnormality level, and C2 is the upper threshold corresponding to the moderate abnormality level and the lower threshold corresponding to the severe abnormality level.

9. The intelligent testing and analysis system for the performance of a liquid pump for a sprayer according to claim 8, characterized in that: The monitoring feedback module, the process of obtaining the test report is as follows: Input the pre-processed real-time data into the liquid pump performance analysis model to calculate the environmental impact index and the operating status impact index; The environmental impact index and the operating status impact index obtained are combined to obtain the liquid pump evaluation coefficient, and the operating status of the liquid pump is judged at the same time, the current abnormal situation is confirmed, and corresponding feedback information is generated; According to the collected real-time data and feedback data, the operating parameters of the liquid pump are adjusted in real time, and a performance evaluation report is generated; According to the operating status and performance evaluation report of the liquid pump, formulate an optimization strategy, perform performance test and reliability test on the liquid pump according to the operating status and optimization strategy of the liquid pump, record various data during the test process, and write a test report based on the test results.

10. The intelligent testing and analysis system for liquid pump performance for a sprayer according to claim 9, characterized in that: In the display and printing module, the process of displaying the performance indicators and operating status of the liquid pump is as follows: Based on the obtained performance evaluation report, performance curve and operating status of the liquid pump, time series data is comprehensively obtained; Use chart drawing tools to design corresponding chart types, draw preprocessed data into charts, and adjust the style, color, and font of the charts; The display screen displays performance indicators and operating status data in the form of numbers, percentages, and progress bars. Print setting options are also provided to allow users to select print content.

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