Rock wool production line control method and system
By calculating the production speed error of each node of the rock wool production line and adjusting the control signal using the PID algorithm, the problems of low control accuracy and lag in the rock wool production line are solved, and more efficient production line control is achieved.
Patent Information
- Application Number
- CN202510480413.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-17
- Publication Date
- 2025-05-16
- Estimated Expiration
- 2045-04-17
AI Technical Summary
The rock wool production line has problems of low accuracy and lag in response when controlling production speed, resulting in inconsistent quality of finished products.
By calculating the error sequence between the preset production speed and the actual production speed of each node of the rock wool production line, the error of the finished product production speed is estimated, and the PID algorithm is used to generate control signals to adjust the production line speed.
The control accuracy of the rock wool production line for finished product production speed is improved, the situation of inconsistent finished product quality is reduced, and the response lag in traditional methods is avoided.
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Figure CN120010423A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of automatic control technology, and in particular to a rock wool production line control method and system. Background Art
[0002] Rock wool is an inorganic fiber material made of basalt as the main raw material, which is used for insulation, heat insulation, fire prevention and other purposes in the fields of construction, industry, and shipbuilding. The main production process of rock wool includes: putting the raw materials into the furnace for melting, placing the molten rock in the ejector by rotation, and then ejecting the rock through the airflow to form fine fibers, and placing the ejected fibers in the curing chamber for curing and cutting. The rock wool production line is a rock wool production line specially used for the production of rock wool, which is composed of multiple equipment corresponding to the rock wool production process steps. There are many instabilities in the working process of the furnace, such as the wind pressure and oxygen content in the furnace, which leads to the unstable amount of fiber dispensed; therefore, the production speed of the rock wool production line needs to be adjusted and controlled during the rock wool production process to improve the quality of the rock wool after production. The commonly used rock wool production line control method is mainly to calculate the rock wool production speed through the flow rate of the finished rock wool product and the actual specifications of the rock wool, and control the overall operation speed of the rock wool production line according to the rock wool production speed.
[0003] During the actual adjustment process, the flow rate of finished rock wool products is calculated based on the actual mass of the rock wool products. In the process of adjusting the speed of the rock wool production line based on the flow rate of finished rock wool products, inconsistent weights of finished rock wool products may easily occur. For example, when it is detected that the finished product is heavier, the speed of the rock wool production line needs to be slowed down; but at the current moment, there is already heavier finished rock wool.
[0004] Of course, the operation of the rock wool production line can also be adjusted by directly adjusting the preset production speed of the rock wool production line, but usually there is an error between the preset production speed and the actual production speed. Therefore, the method of adjusting the rock wool production line in the related art has the problem of low control accuracy or delayed response in actual application. Summary of the invention
[0005] In order to solve the problem of low control accuracy or delayed response of a rock wool production line in the related art, the present application provides a rock wool production line control method and system.
[0006] In the first aspect, the present application provides a rock wool production line control method, which adopts the following technical solution: A rock wool production line control method comprises the steps of: calculating the finished product estimation error of the production speed of the rock wool production line at the current moment; obtaining the production line control signal at the moment by using a PID algorithm based on the finished product estimation error, and controlling the rock wool production line; the step of calculating the finished product estimation error comprises: constructing a node error sequence between the preset production speed of each node and the actual production speed and a finished product error sequence between the preset production speed of the finished product and the actual production speed according to the operation data of the rock wool production line; calculating the error consistency between the node error sequence and the finished product error sequence; determining the influence degree of each node on the finished product production speed based on the error consistency of different nodes, calculating the estimated node error, and taking the sum of multiple estimated node errors as the finished product estimation error; wherein the calculation formula of the error consistency is: ; In the formula, Indicates the error consistency between the node error sequence and the finished product error sequence; Indicates the length of the node error sequence; Representation Node The node error sequence and the finished product error sequence are the instantaneous difference of moments; Representation Node In the The error rate of change at time, Indicates that the error sequence of the finished product is The error rate of change at each moment; Represents an exponential function with a natural constant as its base.
[0007] Construct a node error sequence between the preset production speed of each node and the actual production speed, and a finished product error sequence between the preset production speed of the finished product and the actual production speed, analyze the difference between the two sequences, and calculate the consistency between different node sequences and the finished product error sequence. If the data changes in the two sequences are relatively consistent, it means that the node has a greater impact on the error of the finished product. If the difference between the node error sequence corresponding to a certain node and the finished product error sequence is large, that is, the error consistency between the two is low, it means that the error of the production speed generated by the node during the production process has a smaller impact on the error of the final finished product production speed. In combination with this feature, the error of the finished product production speed of the rock wool production line in real-time operation is estimated to obtain the finished product estimation error, and the control signal for controlling the rock wool production line is obtained based on the finished product estimation error, so as to improve the accuracy of controlling the final finished product production speed of the rock wool production line. In the present application, the error between the preset production speed and the actual production speed is taken into account in the process of controlling the rock wool production line, and the speed control of the rock wool production line is more accurate than the method of directly adjusting the preset production speed of the rock wool production line in the related art. At the same time, the present application avoids the lag in the method of adjusting the speed of the rock wool production line based on measuring the flow rate of the finished product in the related art, and the control of the rock wool production line is more timely.
[0008] Optionally, the instantaneous difference between the node error sequence and the finished product error sequence is calculated as: ; In the formula, The node error sequence of the historical data and the finished product error sequence are The instantaneous difference in time, Represents the node error sequence in The error value at time, Indicates that the error sequence of rock wool finished product is The error value at the moment.
[0009] Indicated in The difference between the error sequence of the moment node and the error sequence of the finished product; Indicates The accumulated difference between the two sequences at each moment. The two work together to improve the accuracy of the calculation of the instantaneous difference between the two sequences. The smaller the difference between the two sequences, the greater the impact of the node error corresponding to the node on the error of the final product. Accurately calculating the instantaneous difference between the two sequences can improve the accuracy of the subsequent calculation of the estimated error of the finished product, thereby more accurately controlling the rock wool production line.
[0010] Optionally, the instantaneous difference between the node error sequence and the finished product error sequence is calculated as: ; In the formula, The node error sequence of the historical data and the finished product error sequence are The instantaneous difference in time, Represents the node error sequence in The error value at time, Indicates that the error sequence of rock wool finished product is The error value at the moment.
[0011] Optionally, the step of determining the degree of influence of each node on the finished product production speed based on the error consistency of different nodes includes: taking the sum of the error consistency corresponding to all nodes as the total error; and taking the ratio of the error consistency corresponding to any node to the total error as the degree of influence of the node on the finished product production speed.
[0012] Different nodes have different error consistency between the node error sequence and the finished product error sequence. The greater the error consistency, the more important the node is to the calculation of the finished product estimation error. At the same time, multiple nodes work together to affect the error of the final finished product production speed. Therefore, the proportion of error consistency corresponding to different node error sequences in the total error can reflect the degree of influence of different stages on the finished product production speed.
[0013] Optionally, the step of calculating the estimated node error includes: obtaining the current production speed error of each node during the real-time operation of the rock wool production line; and taking the product of the influence degree of any node and the error of the production speed of the corresponding node as the estimated node error.
[0014] During the real-time operation of the rock wool production line, different nodes have different node errors. This node error will eventually lead to an error between the actual finished product production speed and the preset finished product production speed. Therefore, through the degree of influence of the node on the finished product production speed and the node error actually generated by the node during real-time operation, the specific impact of the node on the error of the finished product production speed can be estimated, that is, the finished product estimation error.
[0015] Optionally, the step of obtaining the current production speed error of each node during the operation of the rock wool production line includes: measuring the current flow rate of each node; and taking the difference between the preset flow rate of the node and the measured flow rate as the production speed error of the node at the current moment.
[0016] Optionally, the step of constructing a node error sequence between the preset production speed and the actual production speed of each node includes: constructing the actual production speed sequence of each node; constructing the preset production speed sequence of each node; the difference between the speed values of the same sequence in the actual production speed sequence and the preset production speed sequence is the node error, and the node errors at multiple moments constitute the node error sequence of the node.
[0017] Optionally, the step of constructing the actual production speed sequence of each node includes: collecting operation data in any time period during the historical operation of the rock wool production line through a sensor, obtaining the actual production speed of each node at any time in the time period, and the actual production speeds at multiple times constitute the actual production speed sequence of the node; The step of constructing a preset production speed sequence for each node includes: obtaining the preset production speed of the node at each moment before production within the same time period; the preset production speeds at multiple moments constitute the preset production speed sequence.
[0018] Optionally, the calculation formula of the production line control signal is: ; In the formula, Indicates the current time of the rock wool production line The control signal, is the proportional gain parameter; is the integral gain parameter; is the differential gain parameter; represents the error in the finished product estimate; Representation Node The degree of impact on the production speed of finished products; Representation Node Production speed error; Indicates the number of nodes.
[0019] In the process of acquiring the control signal, the error of the finished product production speed during the operation of the rock wool production line is taken into account, so that the production line can be accurately controlled in advance.
[0020] In the second aspect, the present application provides a rock wool production line control system, which adopts the following technical solution: A rock wool production line control system comprises a processor and a memory, wherein the memory stores computer program instructions, and when the computer program instructions are executed by the processor, a rock wool production line control method according to the above is implemented.
[0021] The above-mentioned rock wool production line control method is generated into a computer program and stored in a memory so as to be loaded and executed by a processor. Thus, a system is made based on the memory and the processor for easy use.
[0022] This application has the following technical effects: In this application, the finished product estimation error between the final finished product production speed and the preset finished product production speed is estimated by the influence of each node in the rock wool production line on the final finished product production speed in the historical data, and the control signal of the rock wool production line is obtained based on the finished product estimation error. The gap between the preset finished product production speed and the actual finished product production speed is compensated by the finished product estimation error, thereby achieving precise control of the rock wool production line speed. BRIEF DESCRIPTION OF THE DRAWINGS
[0023] Figure 1 This is a method flow chart of a rock wool production line control method of the present application.
[0024] Figure 2 This is a method flow chart of step S1 of a rock wool production line control method of the present application. DETAILED DESCRIPTION
[0025] An embodiment of the present application discloses a rock wool production line control method, which analyzes data in the historical production process of the rock wool production line, calculates the degree of influence of each node on the finished product production speed, estimates the error of the finished product production speed during the operation of the rock wool production line based on the degree of influence, obtains the finished product estimation error, and adjusts the control signal of the rock wool production line according to the finished product estimation error, thereby improving the accuracy of controlling the finished product production speed of the rock wool production line.
[0026] Reference Figure 1 , the rock wool production line control method includes steps S1-S2; Step S1: Calculate the finished product estimation error of the current production speed of the rock wool production line; Reference Figure 2 , step S1 includes steps S11 to S13; Step S11: constructing a node error sequence between a preset production speed of each node and an actual production speed and a finished product error sequence between a preset production speed of a finished product and an actual production speed according to the operation data of the rock wool production line; The rock wool production line includes multiple process equipment, each of which corresponds to a process step. A production node (hereinafter referred to as a node) is formed between two adjacent process equipment.
[0027] Constructing a node error sequence between the preset production speed and the actual production speed of each node; Obtain the production speed of each node in the historical operation process of the rock wool production line and the production speed of the final product. In this embodiment, the acquisition frequency is 60 The collection time is 6 hours. The production speed of each node collected during this period constitutes the actual production speed sequence corresponding to each node.
[0028] In this embodiment, the flow rate of the fibrous material in the rock wool production process is detected by a flow sensor, so as to realize the collection of production speed information of each node. After the historical operation data of the rock wool production line is collected, the production speed is filtered by the mean filtering method. Of course, in other embodiments, other methods can also be used to filter the data to facilitate subsequent data processing.
[0029] Before the rock wool production line is put into operation, the staff will preset the speed of each node of the rock wool production line, obtain the preset production speed corresponding to the above-mentioned collection time period, and form a preset production speed sequence for each node.
[0030] Each speed value in the actual production speed sequence corresponding to the same node corresponds to the speed value in the preset production speed sequence one by one; the speed value at any moment in the preset production speed sequence minus the speed value at that moment in the actual production speed sequence is obtained to obtain the node error at that moment, and the node errors at multiple moments constitute the node error sequence of the node.
[0031] Similarly, the actual production speed sequence of the finished rock wool products in the historical data and the corresponding preset production speed sequence of the finished products are constructed, and the finished product error sequence between the actual production speed sequence of the finished products and the preset production speed of the finished products is constructed.
[0032] Step S12: Calculate the error consistency between the node error sequence and the finished product error sequence; First, the instantaneous difference between the node error sequence and the finished product error sequence at any time is calculated; In one embodiment, the calculation formula of the instantaneous difference is: ; The node error sequence of the historical data and the finished product error sequence are The instantaneous difference in time, Represents the node error sequence in The error value at time, Indicates that the error sequence of rock wool finished product is The error value at the moment.
[0033] Indicates the historical node error sequence and the rock wool finished product error sequence at the The error value difference at the moment; the larger the value, the better the node is at the The greater the difference between the node error at each moment and the error of the finished product; that is, during the operation of the rock wool production line, the error of the node has a smaller impact on the error of the final product. The smaller it is, the error of the final product is mainly affected by the error of this node. Represents the difference between the node error and the finished product error, This part comprehensively considers the differences between the node errors accumulated at multiple moments and the finished product errors accumulated at multiple moments, reduces the influence of a single extreme data in the instantaneous difference calculation process, and improves the accuracy and robustness of the instantaneous difference calculation.
[0034] In another embodiment, the calculation formula of the instantaneous difference is: ; In the formula, The node error sequence of the historical data and the finished product error sequence are The instantaneous difference in time, Represents the node error sequence in The error value at time, Indicates that the error sequence of rock wool finished product is The error value at the moment.
[0035] Then, the error consistency between the node error sequence and the finished product error sequence is calculated; In one embodiment, the calculation formula for error consistency is: ; In the formula, Indicates the error consistency between the node error sequence and the finished product error sequence; Indicates the length of the node error sequence; Representation Node No. The node error sequence and the finished product error sequence are the instantaneous difference of moments; Representation Node In the The error rate of change at time, Indicates that the error sequence of the finished product is The error rate of change at each moment; Represents an exponential function with a natural constant as its base.
[0036] The calculation of the rate of change in the formula is a conventional technical means in the art and will not be repeated here.
[0037] Represents the node The difference in fluctuation between the corresponding node error sequence and the finished product error sequence can reflect the difference in the changing trends of the data in the two sequences. The smaller the value of , the more consistent the data changes in the node error sequence and the finished product error sequence are, and therefore the greater the error consistency between the two sequences is. It represents the instantaneous difference between the node error sequence and the finished product error sequence. The size of the difference reflects the difference in values between the two sequences. The smaller the value, the closer the two sequences are in value, and therefore the greater the error consistency between the two sequences.
[0038] In the formula, the error consistency between the two sequences is calculated collaboratively by using the instantaneous difference and the degree of fluctuation, which further improves the accuracy and robustness of the error consistency calculation. Finally, the calculation results are mapped to a certain range through an exponential function to facilitate subsequent processing and calculation.
[0039] In another embodiment, the calculation formula of error consistency is: ; In the formula, Indicates the error consistency between the node error sequence and the finished product error sequence; Representation Node The number of corresponding node error sequences; Indicates the length of the node error sequence; Representation Node No. The node error sequence and the finished product error sequence are the instantaneous difference of moments; Representation Node No. The error sequence is The error rate of change at time, Indicates The error sequence of the finished rock wool product is The error rate of change at each moment; Represents an exponential function with a natural constant as its base.
[0040] In this embodiment, A set of historical data. During the specific collection process, the operation data of the rock wool production line can be collected when the rock wool production line produces different batches of products, thereby obtaining multiple sets of historical data.
[0041] A set of node error sequences and a finished product error sequence are extracted from each set of historical data. The error consistency between each node error sequence and the finished product error sequence is accumulated. Multiple sets of historical data are comprehensively considered to avoid the situation where a single data has a significant impact on the calculation results, thereby further improving the accuracy and robustness of the error consistency calculation.
[0042] S13: Determine the influence of each node on the production speed of the finished product based on the error consistency of different nodes, calculate the estimated node error, and take the sum of multiple estimated node errors as the finished product estimated error.
[0043] The sum of the error consistency corresponding to all nodes is the total error; the ratio of the error consistency corresponding to any node to the total error is the degree of influence of the node on the production speed of the finished product.
[0044] Specifically, the calculation formula for the influence of a node on the production speed of finished products can be expressed as: Representation Node The degree of impact on the production speed of finished products, Representation Node The error consistency of Indicates the number of nodes.
[0045] The production speed error of each node at the current moment during the real-time operation of the rock wool production line is obtained; the product of the influence degree of any node and the error of the production speed of the corresponding node is taken as the estimated node error.
[0046] The production speed error at any node at the current moment during the real-time operation of the rock wool production line is the difference between the preset production speed at the current moment and the actual production speed.
[0047] S2: Based on the finished product estimation error, the PID algorithm is used to obtain the production line control signal at that moment to control the rock wool production line; The calculation formula of the production line control signal is: ; In the formula, Indicates the current time of the rock wool production line The control signal, is the proportional gain parameter; is the integral gain parameter; is the differential gain parameter; represents the error in the finished product estimate; Representation Node The degree of impact on the production speed of finished products; Representation Node Production speed error; Indicates the number of nodes.
[0048] The production line control signal is input into the control system of the rock wool production line to automatically adjust the overall speed of the rock wool production line, thereby realizing real-time automatic control of the rock wool production line.
[0049] An embodiment of the present application also discloses a rock wool production line control method and system, including a processor and a memory, wherein the memory stores computer program instructions, and when the computer program instructions are executed by the processor, a rock wool production line control method according to the present application is implemented.
[0050] The above system also includes other components well known to those skilled in the art, such as a communication bus and a communication interface, and their configuration and functions are known in the art, so they will not be described in detail here.
[0051] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.
Claims
1. A rock wool production line control method, characterized in that: The method comprises the steps of: calculating the finished product estimation error of the production speed of the rock wool production line at the current moment; Based on the finished product estimation error, the PID algorithm is used to obtain the production line control signal at that moment to control the rock wool production line; The step of calculating the estimated error of the finished product includes: constructing a node error sequence between a preset production speed and an actual production speed of each node and a finished product error sequence between a preset production speed and an actual production speed of the finished product according to the operation data of the rock wool production line; Calculate the error consistency between the node error sequence and the finished product error sequence; determine the influence of each node on the finished product production speed based on the error consistency of different nodes, calculate the estimated node error, and take the sum of multiple estimated node errors as the finished product estimated error; the calculation formula for error consistency is: ; In the formula, Indicates the error consistency between the node error sequence and the finished product error sequence; Indicates the length of the node error sequence; Representation Node The node error sequence and the finished product error sequence are the instantaneous difference of moments; Representation Node In the The error rate of change at time, Indicates that the error sequence of the finished product is The error rate of change at each moment; Represents an exponential function with a natural constant as its base.
2. A rock wool production line control method according to claim 1, characterized in that: The calculation formula for the instantaneous difference between the node error sequence and the finished product error sequence is: ; In the formula, The node error sequence of the historical data and the finished product error sequence are The instantaneous difference in time, Represents the node error sequence in The error value at time, Indicates that the error sequence of rock wool finished product is The error value at the moment.
3. A rock wool production line control method according to claim 1, characterized in that: The calculation formula for the instantaneous difference between the node error sequence and the finished product error sequence is: ; In the formula, The node error sequence of the historical data and the finished product error sequence are The instantaneous difference in time, Represents the node error sequence in The error value at time, Indicates that the error sequence of rock wool finished product is The error value at the moment.
4. A rock wool production line control method according to claim 1, characterized in that: The steps of determining the influence of each node on the production speed of finished products based on the error consistency of different nodes include: taking the sum of the error consistency corresponding to all nodes as the total error; taking the ratio of the error consistency corresponding to any node to the total error as the influence of the node on the production speed of finished products.
5. A rock wool production line control method according to claim 1, characterized in that: The step of calculating the estimated node error includes: obtaining the current production speed error of each node during the real-time operation of the rock wool production line; and taking the product of the influence degree of any node and the error of the production speed of the corresponding node as the estimated node error.
6. A rock wool production line control method according to claim 5, characterized in that: The step of obtaining the current production speed error of each node during the operation of the rock wool production line includes: measuring the current flow rate of each node; and taking the difference between the preset flow rate of the node and the measured flow rate as the production speed error of the node at the current moment.
7. A rock wool production line control method according to claim 1, characterized in that: The step of constructing a node error sequence between the preset production speed and the actual production speed of each node includes: constructing the actual production speed sequence of each node; constructing the preset production speed sequence of each node; the difference between the actual production speed sequence and the preset production speed of the same sequence in the preset production speed sequence is the node error, and the node errors at multiple moments constitute the node error sequence of the node.
8. A rock wool production line control method according to claim 7, characterized in that: The step of constructing the actual production speed sequence of each node includes: collecting operation data in any time period during the historical operation of the rock wool production line through a sensor, obtaining the actual production speed of each node at any time in the time period, and the actual production speeds at multiple times constitute the actual production speed sequence of the node; The step of constructing a preset production speed sequence for each node includes: obtaining the preset production speed of the node at each moment before production within the same time period; the preset production speeds at multiple moments constitute the preset production speed sequence.
9. A rock wool production line control method according to claim 1, characterized in that: The calculation formula of the production line control signal is: ; In the formula, Indicates the current time of the rock wool production line The control signal, is the proportional gain parameter; is the integral gain parameter; is the differential gain parameter; represents the error in the finished product estimate; Representation Node The degree of impact on the production speed of finished products; Representation Node Production speed error; Indicates the number of nodes.
10. A rock wool production line control system, characterized in that: include: A processor and a memory, wherein the memory stores computer program instructions, and when the computer program instructions are executed by the processor, a rock wool production line control method according to any one of claims 1 to 9 is implemented.
Citation Information
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