Fluid pressure and speed control method and system

Abstract

The invention discloses a fluid pressure and speed control method and system, and the method comprises the steps: carrying out the real-time monitoring of the pressure and speed of a fluid through a pressure sensor and a speed sensor, and obtaining the real-time pressure data of the fluid and the real-time speed data of the fluid; and historical injection molding data are called from the database. According to the invention, if the real-time pressure data and speed data of the fluid have relatively low similarity and matching rate with the parameter data with the maximum production efficiency of the injection product, optimization is needed, the opening degree of the valve is automatically adjusted through the controller, and the pressure and speed of the fluid are automatically adjusted, so that the requirements of workers are met, and the production efficiency of the injection product is improved. The response time is shortened, the real-time performance of the system is improved, the system can quickly respond to working conditions which change quickly, the adaptability and the flexibility of the system are enhanced, the system cost is reduced, the high-precision fluid control technology can be widely applied to various industrial production scenes, and the technical progress of related industries is promoted.

Description

Technical Field

[0001] The invention relates to the technical field of injection molding production, and in particular to a fluid pressure and speed control method and system. Background Art

[0002] At present, in injection molding and hydraulic systems, fluid pressure and speed control are key links. Traditional methods mainly rely on manual adjustment or simple automated control systems, which have obvious deficiencies in accuracy and stability. With the increasing requirements for fluid control, especially in the field of precision manufacturing, traditional control methods can no longer meet the needs of high accuracy and high stability.

[0003] The existing fluid pressure and speed control methods mainly include the following: Manual adjustment: The operator manually adjusts the valve opening to control the pressure and speed of the fluid. This method is simple and easy to implement, but has low accuracy, is greatly affected by human factors, and is difficult to achieve high-precision control; Automatic control system: Use sensors to detect the pressure and speed of the fluid, and automatically adjust the valve opening through the controller. This method can improve the control accuracy, but there are still problems such as long response time and poor stability. Summary of the invention

[0004] In order to solve the above technical problems, a technical solution is provided to solve the problems raised in the above background technology, such as being greatly affected by human factors, difficulty in achieving high-precision control, long response time and poor stability.

[0005] In order to achieve the above purpose, the technical solution adopted by the present invention is: A fluid pressure and speed control method, comprising: A pressure sensor and a velocity sensor are used to respectively monitor the pressure and velocity of the fluid in real time, and obtain the real-time pressure data and the real-time velocity data of the fluid; Retrieving historical injection molding data from a database, wherein the historical injection molding data includes historical pressure data of the fluid, historical speed data of the fluid, and historical production efficiency data of the injection molding product; Performing data processing on historical injection molding data, wherein the data processing includes data deduplication, missing value filling and outlier processing; Establishing an injection molding product production efficiency evaluation model based on the evaluation factors of historical injection molding data, wherein the injection molding product production efficiency evaluation model uses the evaluation factor weight matrix and the evaluation factor decision matrix as inputs to determine the maximum production efficiency of the injection molding product; The real-time pressure and speed data of the fluid are calculated for similarity and matching rate with the parameter data of the injection molding product to maximize production efficiency, and the real-time pressure and speed data are optimized by automatically adjusting the valve opening through the controller.

[0006] Preferably, the data deduplication specifically includes the following steps: Arrange all data coordinates into one column; Retrieve the duplication of the first coordinate and subsequent coordinates, and if there is duplication, delete the subsequent coordinates; After the search is completed, the second coordinate and the subsequent coordinates are searched for duplication. If there is duplication, the subsequent coordinates are deleted; Repeat the above steps until all data coordinates have been detected.

[0007] Preferably, the specific calculation formula for filling the missing values ​​is: ; In the formula, is the filling data; i is the number of filling data; i is different types of historical data; n is the number of different types of historical data.

[0008] Preferably, the outlier processing specifically includes the following steps: arranging all data coordinates into a column; calculating the deviation value between the data coordinate and the adjacent data coordinate as k; when the deviation value k is greater than 100%, the data coordinate is an outlier, and the data coordinate is replaced by the mean of the adjacent data; the calculation formula of the deviation value is: .

[0009] Preferably, the establishment of the injection molding product production efficiency evaluation model based on the evaluation factors of the historical injection molding data specifically comprises the following steps: Input the decision value of each evaluation factor in the evaluation factor decision matrix into the corresponding evaluation factor scoring model, obtain a number of decision positive scores of each evaluation factor, and combine the several decision positive scores of all evaluation factors into a number of decision positive score groups, and combine the several decision positive score groups into a positive score matrix A of the decision evaluation factor; ; Where m is the total number of decision-making positive scoring groups, n is the total number of several evaluation factors of the automation control system, is the positive score of the jth evaluation factor in the i-th decision positive score group; The weight matrix of the evaluation factors and the positive score matrix D of the decision evaluation factors are input into the evaluation factor weight normalization transformation model, the weight normalization value of each evaluation factor is calculated based on the normalization calculation formula, and the weight normalization values ​​of all evaluation factors are combined into a weight normalization matrix B; ;in, It is the normalized value of the weight of the jth evaluation factor in the i-th decision positive scoring group.

[0010] Preferably, the method of determining the maximum production efficiency of the injection molding product specifically comprises the following steps: determining the optimal weight normalization value group based on the weight normalization matrix B and the worst weight normalized value set ,in;

[0011] ;in, is the maximum value of the weight normalized value of the jth evaluation factor, is the minimum value of the normalized weight of the jth evaluation factor; The decision index of each decision-positive scoring group is calculated according to the index calculation formula; the decision-positive scoring group with the largest decision index is screened out, and its corresponding pressure data and speed data are the maximum production efficiency of the injection molding product.

[0012] Preferably, the formula for calculating the similarity between the real-time pressure data and speed data of the fluid and the parameter data for maximizing the production efficiency of the injection molding product is: ; In the formula, is the similarity between the real-time fluid parameter data and the parameter data under the state of maximum historical production efficiency, is the jth characteristic index value of the ith characteristic of the fluid real-time parameter data, is the jth feature index value of the ith feature of the parameter data under the state of historical production efficiency maximization, and n is the total number of ith feature index values.

[0013] Preferably, the calculation formula of the matching rate is: ; In the formula, C is the adaptability between the characteristic parameters of the real-time fluid parameter data and the parameter data under the state of maximum historical production efficiency, is the weight value of the i-th feature parameter, and m is the total number of feature parameters.

[0014] In addition, the present invention also provides a fluid pressure and speed control system, comprising: A real-time monitoring module, wherein the real-time monitoring module is used to respectively monitor the pressure and speed of the fluid in real time by using a pressure sensor and a speed sensor, and obtain real-time pressure data and real-time speed data of the fluid; A retrieval module, the retrieval module is used to retrieve historical injection molding data from a database; A data processing module, wherein the data processing module is used to process historical injection molding data; A model building module, wherein the model building module is used to establish an injection molding product production efficiency evaluation model based on evaluation factors of historical injection molding data; A first calculation module, the first calculation module is used to perform similarity calculation between the real-time pressure data and speed data of the fluid and the parameter data for maximizing the production efficiency of the injection molding product; A second calculation module, the second calculation module is used to calculate the matching rate between the real-time pressure data and speed data of the fluid and the parameter data for maximizing the production efficiency of the injection molding product; A control module is used to optimize real-time pressure data and speed data by automatically adjusting the valve opening through a controller.

[0015] In summary, in injection molding and hydraulic systems, fluid pressure and speed control are key links. In a dynamically changing production environment, the production efficiency of products is closely related to the pressure and speed of the fluid. The historical production efficiency of injection molding products, the pressure and speed parameter data of the fluid are retrieved from the historical database, and the data are deduplicated, missing values ​​are filled, and outliers are processed, so as to obtain complete data, that is, data with processing significance and reference value. The present invention assigns an evaluation factor to each parameter. These evaluation factors affect the drilling efficiency. The evaluation factors form a decision group. The closer the specific decision index is to 1, the closer the weight normalization array of the decision positive scoring group is to the optimal weight normalization array. The closer the normalized value group is, the greater the production efficiency of the corresponding injection molding product. If the real-time pressure and speed data of the fluid have a high degree of similarity and matching rate with the parameter data of the maximum production efficiency of the injection molding product, no optimization is required. If it is lower, the valve opening is automatically adjusted by the controller to automatically adjust the fluid pressure and speed, which changes the traditional method of manually adjusting the valve, meets the needs of the staff, shortens the response time, improves the real-time performance of the system, enables it to quickly respond to rapidly changing working conditions, enhances the adaptability and flexibility of the system, reduces the system cost, and enables high-precision fluid control technology to be widely used in various industrial production scenarios, promoting technological progress in related industries. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a schematic diagram of the fluid pressure and speed control method; Figure 2 It is a schematic diagram of the method of data deduplication; Figure 3 It is a schematic diagram of the method of outlier processing; Figure 4 It is a schematic diagram of the method for determining the maximum production efficiency of injection molding products; Figure 5 It is a schematic diagram of a fluid pressure and speed control system. DETAILED DESCRIPTION

[0017] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0018] Please refer to Figure 1-Figure 5 As shown, a fluid pressure and speed control method comprises: A pressure sensor and a velocity sensor are used to respectively monitor the pressure and velocity of the fluid in real time, and obtain the real-time pressure data and the real-time velocity data of the fluid; Retrieving historical injection molding data from a database, the historical injection molding data including historical pressure data of the fluid, historical speed data of the fluid and historical production efficiency data of the injection molding product; Perform data processing on historical injection molding data, including data deduplication, missing value filling and outlier processing; An injection molding product production efficiency evaluation model is established based on the evaluation factors of historical injection molding data. The injection molding product production efficiency evaluation model uses the evaluation factor weight matrix and the evaluation factor decision matrix as input to determine the maximum production efficiency of injection molding products. The real-time pressure and speed data of the fluid are calculated for similarity and matching rate with the parameter data of the injection molding product to maximize production efficiency, and the real-time pressure and speed data are optimized by automatically adjusting the valve opening through the controller.

[0019] It can be understood by those skilled in the art that in injection molding and hydraulic systems, fluid pressure and speed control are key links. In a dynamically changing production environment, the production efficiency of products is closely related to the pressure and speed of the fluid. By retrieving the historical production efficiency of injection molding products, the pressure and speed parameter data of the fluid from the historical database, and performing deduplication, missing value filling and outlier processing on the data, complete data, i.e. data with processing significance and reference value, is obtained. The present invention assigns an evaluation factor to each parameter. These evaluation factors affect the drilling efficiency. The evaluation factors form a decision group. The closer the specific decision index is to 1, the more positive the decision group score is. The closer the weight normalization array is to the optimized weight normalization value group, the greater the corresponding injection molding product production efficiency. If the real-time pressure data and speed data of the fluid have a high similarity and matching rate with the parameter data of the maximum injection molding product production efficiency, no optimization is required. If it is lower, the valve opening is automatically adjusted through the controller to automatically adjust the fluid pressure and speed, which meets the needs of the staff, shortens the response time, improves the real-time performance of the system, enables it to quickly respond to rapidly changing working conditions, enhances the adaptability and flexibility of the system, reduces the system cost, and enables high-precision fluid control technology to be widely used in various industrial production scenarios, promoting technological progress in related industries.

[0020] The specific steps of data deduplication are as follows: Arrange all data coordinates into one column; Retrieve the duplication of the first coordinate and subsequent coordinates, and if there is duplication, delete the subsequent coordinates; After the search is completed, the second coordinate and the subsequent coordinates are searched for duplication. If there is duplication, the subsequent coordinates are deleted; Repeat the above steps until all data coordinates have been detected.

[0021] The specific calculation formula for filling missing values ​​is: ; In the formula, is the filling data; i is the number of filling data; are different types of historical data; n is the number of different types of historical data.

[0022] The specific steps of outlier processing are as follows: Arrange all data coordinates into one column; The deviation value between the calculated data coordinate and the adjacent data coordinate is k; When the deviation value k is greater than 100%, the data coordinate is an outlier, and the data coordinate is replaced by the mean of the adjacent data; The calculation formula of the deviation value is: .

[0023] The specific steps of establishing the injection molding product production efficiency evaluation model based on the evaluation factors of historical injection molding data are as follows: Input the decision value of each evaluation factor in the evaluation factor decision matrix into the corresponding evaluation factor scoring model, obtain a number of decision positive scores of each evaluation factor, and combine the several decision positive scores of all evaluation factors into a number of decision positive score groups, and combine the several decision positive score groups into a positive score matrix A of the decision evaluation factor; ; Where m is the total number of decision-making positive scoring groups, n is the total number of evaluation factors of the automation control system, and n is the positive score of the jth evaluation factor in the i-th decision-making positive scoring group; The weight matrix of the evaluation factors and the positive score matrix D of the decision evaluation factors are input into the evaluation factor weight normalization transformation model, the weight normalization value of each evaluation factor is calculated based on the normalization calculation formula, and the weight normalization values ​​of all evaluation factors are combined into a weight normalization matrix B; ;in, It is the normalized value of the weight of the jth evaluation factor in the i-th decision positive scoring group.

[0024] Determining the maximum production efficiency of injection molding products specifically includes the following steps: Determine the optimal weight normalization value group based on the weight normalization matrix B and the worst weight normalized value set ,in; in, is the maximum value of the weight normalized value of the jth evaluation factor, is the minimum value of the weight normalized value of the jth evaluation factor; the decision index of each decision positive scoring group is calculated according to the index calculation formula; the decision positive scoring group with the largest decision index is screened out, and its corresponding pressure data and speed data are the maximum production efficiency of the injection molding product.

[0025] The formula for calculating the similarity between the real-time pressure and speed data of the fluid and the parameter data for maximizing the production efficiency of the injection molding product is: ; In the formula, is the similarity between the real-time fluid parameter data and the parameter data under the state of maximum historical production efficiency, is the jth characteristic index value of the ith characteristic of the fluid real-time parameter data, is the jth feature index value of the ith feature of the parameter data under the state of historical production efficiency maximization, and n is the total number of ith feature index values.

[0026] The formula for calculating the matching rate is: ; In the formula, C is the adaptability between the characteristic parameters of the real-time fluid parameter data and the parameter data under the state of maximum historical production efficiency, is the weight value of the i-th feature parameter, and m is the total number of feature parameters.

[0027] In addition, the present invention also provides a fluid pressure and speed control system, comprising: A real-time monitoring module is used to use a pressure sensor and a speed sensor to respectively monitor the pressure and speed of the fluid in real time, and obtain real-time pressure data and real-time speed data of the fluid; A retrieval module is used to retrieve historical injection molding data from a database; A data processing module, which is used to process historical injection molding data; A model building module, which is used to establish an injection molding product production efficiency evaluation model based on evaluation factors of historical injection molding data; A first calculation module, the first calculation module is used to perform similarity calculation between the real-time pressure data and speed data of the fluid and the parameter data for maximizing the production efficiency of the injection molding product; A second calculation module, the second calculation module is used to calculate the matching rate between the real-time pressure data and speed data of the fluid and the parameter data for maximizing the production efficiency of the injection molding product; The control module is used to optimize the real-time pressure data and speed data by automatically adjusting the valve opening through a controller.

[0028] In summary, in injection molding and hydraulic systems, fluid pressure and speed control are key links. In a dynamically changing production environment, the production efficiency of products is closely related to the pressure and speed of the fluid. The historical production efficiency of injection molding products, the pressure and speed parameter data of the fluid are retrieved from the historical database, and the data are deduplicated, missing values ​​are filled, and outliers are processed, so as to obtain complete data, that is, data with processing significance and reference value. The present invention assigns an evaluation factor to each parameter. These evaluation factors affect the drilling efficiency. The evaluation factors form a decision group. The closer the specific decision index is to 1, the weight specification of the positive scoring group of the group of decisions is represented. The closer the array is to the optimized weight normalized value group, the greater the production efficiency of the corresponding injection molding product. If the real-time pressure data and speed data of the fluid have a high similarity and matching rate with the parameter data of the maximum production efficiency of the injection molding product, no optimization is required. If it is lower, the valve opening is automatically adjusted by the controller to automatically adjust the fluid pressure and speed, which meets the needs of the staff, shortens the response time, improves the real-time performance of the system, enables it to quickly respond to rapidly changing working conditions, enhances the adaptability and flexibility of the system, reduces the system cost, and enables high-precision fluid control technology to be widely used in various industrial production scenarios, promoting technological progress in related industries.

[0029] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. A method for controlling fluid pressure and velocity, characterized in that: include: A pressure sensor and a velocity sensor are used to respectively monitor the pressure and velocity of the fluid in real time, and obtain the real-time pressure data and the real-time velocity data of the fluid; Retrieving historical injection molding data from a database, wherein the historical injection molding data includes historical pressure data of the fluid, historical speed data of the fluid, and historical production efficiency data of the injection molding product; Performing data processing on historical injection molding data, wherein the data processing includes data deduplication, missing value filling and outlier processing; Establishing an injection molding product production efficiency evaluation model based on the evaluation factors of historical injection molding data, wherein the injection molding product production efficiency evaluation model uses the evaluation factor weight matrix and the evaluation factor decision matrix as inputs to determine the maximum production efficiency of the injection molding product; The real-time pressure and speed data of the fluid are calculated for similarity and matching rate with the parameter data of the injection molding product to maximize production efficiency, and the real-time pressure and speed data are optimized by automatically adjusting the valve opening through the controller.

2. A fluid pressure and speed control method according to claim 1, characterized in that: The data deduplication specifically includes the following steps: Arrange all data coordinates into one column; Retrieve the duplication of the first coordinate and subsequent coordinates, and if there is duplication, delete the subsequent coordinates; After the search is completed, the second coordinate and the subsequent coordinates are searched for duplication. If there is duplication, the subsequent coordinates are deleted; Repeat the above steps until all data coordinates have been detected.

3. A fluid pressure and speed control method according to claim 2, characterized in that: The specific calculation formula for filling missing values ​​is: In the formula, is the filling data; i is the number of filling data; are different types of historical data; n is the number of different types of historical data.

4. A fluid pressure and speed control method according to claim 3, characterized in that: The outlier processing specifically includes the following steps: Arrange all data coordinates into one column; The deviation value between the calculated data coordinate and the adjacent data coordinate is k; When the deviation value k is greater than 100%, the data coordinate is an outlier, and the data coordinate is replaced by the mean of the adjacent data; The calculation formula of the deviation value is: 。 5. A fluid pressure and speed control method according to claim 4, characterized in that: The establishment of the injection molding product production efficiency evaluation model based on the evaluation factors of historical injection molding data specifically includes the following steps: Input the decision value of each evaluation factor in the evaluation factor decision matrix into the corresponding evaluation factor scoring model, obtain a number of decision positive scores of each evaluation factor, and combine the several decision positive scores of all evaluation factors into a number of decision positive score groups, and combine the several decision positive score groups into a positive score matrix A of the decision evaluation factor; Among them, m is the total number of decision-making positive scoring groups, n is the total number of several evaluation factors of the automation control system, is the positive score of the jth evaluation factor in the i-th decision positive score group; The weight matrix of the evaluation factors and the positive score matrix D of the decision evaluation factors are input into the evaluation factor weight normalization transformation model, the weight normalization value of each evaluation factor is calculated based on the normalization calculation formula, and the weight normalization values ​​of all evaluation factors are combined into a weight normalization matrix B; in, It is the normalized value of the weight of the jth evaluation factor in the i-th decision positive scoring group.

6. A fluid pressure and speed control method according to claim 5, characterized in that: The method of determining the maximum production efficiency of injection molding products specifically includes the following steps: Determine the optimal weight normalization value group based on the weight normalization matrix B and the worst weight normalized value set ,in; in, is the maximum value of the weight normalized value of the jth evaluation factor, is the minimum value of the weight normalized value of the jth evaluation factor; the decision index of each decision positive scoring group is calculated according to the index calculation formula; the decision positive scoring group with the largest decision index is screened out, and its corresponding pressure data and speed data are the maximum production efficiency of the injection molding product.

7. A fluid pressure and speed control method according to claim 6, characterized in that: The formula for calculating the similarity between the real-time pressure data and speed data of the fluid and the parameter data for maximizing the production efficiency of the injection molding product is: In the formula, is the similarity between the real-time fluid parameter data and the parameter data under the state of maximum historical production efficiency, is the jth characteristic index value of the ith characteristic of the fluid real-time parameter data, is the jth feature index value of the ith feature of the parameter data under the state of historical production efficiency maximization, and n is the total number of ith feature index values.

8. A fluid pressure and speed control method according to claim 7, characterized in that: The calculation formula of the matching rate is: Where C is the degree of fit between the characteristic parameters of the real-time fluid parameter data and the parameter data under the state of maximum historical production efficiency. is the weight value of the i-th feature parameter, and m is the total number of feature parameters.

9. A fluid pressure and speed control system, used to implement a fluid pressure and speed control method as claimed in any one of claims 1 to 8, characterized in that: include: A real-time monitoring module, wherein the real-time monitoring module is used to respectively monitor the pressure and speed of the fluid in real time by using a pressure sensor and a speed sensor, and obtain real-time pressure data and real-time speed data of the fluid; A retrieval module, the retrieval module is used to retrieve historical injection molding data from a database; A data processing module is used to process historical injection molding data.

10. A fluid pressure and speed control system according to claim 9, characterized in that: include: A model building module, wherein the model building module is used to establish an injection molding product production efficiency evaluation model based on evaluation factors of historical injection molding data; A first calculation module, the first calculation module is used to perform similarity calculation between the real-time pressure data and speed data of the fluid and the parameter data for maximizing the production efficiency of the injection molding product; A second calculation module, the second calculation module is used to calculate the matching rate between the real-time pressure data and speed data of the fluid and the parameter data for maximizing the production efficiency of the injection molding product; A control module is used to optimize real-time pressure data and speed data by automatically adjusting the valve opening through a controller.

Images