Industrial control method and system for intelligent manufacturing

Abstract

The present invention relates to the field of intelligent control technology, and specifically discloses an industrial control method and system for intelligent manufacturing. The method comprises determining a detection gradient of manufacturing equipment according to the production weight of each manufacturing equipment in an equipment line, determining and combining manufacturing parameters of each manufacturing equipment based on the detection gradient in a testing phase, and acquiring product information at the same time; classifying manufacturing parameters based on product information, acquiring two corresponding manufacturing parameters for any two types of product information, and determining an adjustment parameter set based on the two types of manufacturing parameters; acquiring current product information and target product information in an application phase, taking the target product information and the current product information as two types of product information, reading an adjustment parameter set, and generating control instructions directed to each manufacturing equipment based on the adjustment parameter set; when the present invention detects that there is a problem with product information, the parameters obtained by the test can be queried by the present invention to generate control instructions.

Description

Technical Field

[0001] The present invention relates to the field of intelligent control technology, and in particular to an industrial control method and system for intelligent manufacturing. Background Art

[0002] "Smart Manufacturing" refers to the integration of advanced information technology, automation technology, artificial intelligence and the Internet of Things (IoT) with the manufacturing industry to achieve intelligent, automated and digital production processes. Its goal is to improve production efficiency, product quality, flexibility and sustainability while reducing costs and resource consumption.

[0003] In the existing intelligent manufacturing process, the state of the final product can be changed by the staff inputting some adjustment instructions. However, the generation process of the adjustment instructions still requires the staff to make their own judgments, which affects the degree of intelligence. How to introduce an intelligent judgment process and a supporting production control process to improve the intelligence level of the intelligent manufacturing process is the technical problem that the technical solution of the present invention aims to solve. Summary of the invention

[0004] The purpose of the present invention is to provide an industrial control method and system for intelligent manufacturing to solve the problems raised in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] An industrial control method and system for intelligent manufacturing, including.

[0007] Combine manufacturing equipment according to the product flow chart to obtain an equipment line;

[0008] Determine the detection gradient of the manufacturing equipment according to the production weight of each manufacturing equipment in the equipment line. In the test phase, determine and combine the manufacturing parameters of each manufacturing equipment based on the detection gradient, and obtain product information at the same time; wherein one equipment line corresponds to a set of manufacturing parameters and one product information;

[0009] Classify the manufacturing parameters based on the product information, obtain the corresponding two types of manufacturing parameters for any two types of product information, and determine the adjustment parameter set based on the two types of manufacturing parameters;

[0010] During the application stage, the current product information is acquired and identified in real time, the target product information is determined based on the identification result, the target product information and the current product information are used as two types of product information, the adjustment parameter set is read, and control instructions to each manufacturing equipment are generated based on the adjustment parameter set.

[0011] As a further solution of the present invention: the step of combining manufacturing equipment according to the product flow chart to obtain an equipment line includes:

[0012] Obtain a product flow chart, query the manufacturing equipment of each step, and obtain a manufacturing equipment group indexed by a step label; the step label is obtained by connecting the components before executing the step and the components after executing the step;

[0013] Receive the ingredients selected by the staff, take the ingredients as the final product, and read the manufacturing equipment group corresponding to all steps before the final product in the product flow chart;

[0014] One manufacturing equipment is selected from each of the read manufacturing equipment groups to obtain equipment lines labeled with components.

[0015] As a further solution of the present invention: the step of determining the detection gradient of the manufacturing equipment according to the production weight of each manufacturing equipment in the equipment line, determining and combining the manufacturing parameters of each manufacturing equipment based on the detection gradient in the testing phase, and obtaining product information at the same time includes:

[0016] For any equipment line, query the influence of the steps corresponding to each manufacturing equipment on the final product of the equipment line, and determine the production weight according to the influence;

[0017] Determine the inspection gradient of manufacturing equipment according to production weight;

[0018] In the testing phase, the manufacturing parameter value space of each manufacturing device is determined based on the detection gradient and the preset parameter range; the manufacturing parameter is power;

[0019] Selecting and combining manufacturing parameters in each manufacturing parameter value space to obtain a manufacturing parameter group; the manufacturing parameter group has the same dimension as the manufacturing equipment group and corresponds one to one; when selecting manufacturing parameters in each manufacturing parameter value space, only one value is selected in one manufacturing parameter value space;

[0020] The operation process of the manufacturing equipment is controlled based on the manufacturing parameter group, and product information is obtained at the same time.

[0021] As a further solution of the present invention: the step of controlling the operation process of the manufacturing equipment based on the manufacturing parameter group and obtaining product information at the same time includes:

[0022] Sending the manufacturing parameters to the corresponding manufacturing equipment based on the corresponding relationship between the manufacturing parameter group and the manufacturing equipment group;

[0023] Acquire product information based on sensors installed at the exit of tail manufacturing equipment;

[0024] The product information includes physical information and visual information; the physical information includes weight; and the visual information includes shape and color distribution characteristics.

[0025] As a further solution of the present invention: the step of classifying the manufacturing parameters based on the product information, obtaining two corresponding types of manufacturing parameters for any two types of product information, and determining the adjustment parameter set according to the two types of manufacturing parameters includes:

[0026] Based on product information, the manufacturing parameter groups are classified to obtain manufacturing parameter clusters;

[0027] For any two product information, pair the elements in the manufacturing parameter group clusters corresponding to the two product information in pairs; the elements are manufacturing parameter groups;

[0028] Calculate the distance between two paired manufacturing parameter groups, select two manufacturing parameter groups whose distance is less than a preset distance threshold, and calculate the difference parameter group;

[0029] The difference parameter group is used as the adjustment parameter set;

[0030] The distance calculation process is:

[0031] Where D[A,B] is the distance between two manufacturing parameter groups, N is the dimension of the manufacturing parameter group, and α i is the production weight of the manufacturing equipment corresponding to the i-th manufacturing parameter, A[i] and B[i] represent the i-th manufacturing parameters in the two manufacturing parameter groups respectively; max[i] represents the maximum value of the i-th manufacturing parameter, and min[i] represents the minimum value of the i-th manufacturing parameter.

[0032] As a further solution of the present invention: in the application stage, the steps of acquiring and identifying the current product information in real time, determining the target product information based on the identification result, taking the target product information and the current product information as two types of product information, reading the adjustment parameter set, and generating the control instructions directed to each manufacturing device based on the adjustment parameter set include:

[0033] In the application stage, current product information is acquired and identified in real time;

[0034] Determine the target product information based on the recognition result, take the target product information and the current product information as two types of product information, and read the adjustment parameter set;

[0035] The manufacturing equipment corresponding to each adjustment parameter in the adjustment parameter set is queried, and a control instruction directed to the manufacturing equipment is generated according to the adjustment parameter.

[0036] The technical solution of the present invention also provides an industrial control system for intelligent manufacturing, the system comprising:

[0037] The equipment line generation module is used to combine manufacturing equipment according to the product flow chart to obtain the equipment line;

[0038] A test data acquisition module is used to determine the detection gradient of the manufacturing equipment according to the production weight of each manufacturing equipment in the equipment line. In the test phase, the manufacturing parameters of each manufacturing equipment are determined and combined based on the detection gradient, and product information is obtained at the same time; wherein one equipment line corresponds to a set of manufacturing parameters and one product information;

[0039] A manufacturing parameter classification module is used to classify manufacturing parameters based on product information, obtain corresponding two types of manufacturing parameters for any two types of product information, and determine an adjustment parameter set based on the two types of manufacturing parameters;

[0040] The control instruction generation module is used to obtain and identify the current product information in real time during the application stage, determine the target product information based on the identification result, take the target product information and the current product information as two types of product information, read the adjustment parameter set, and generate control instructions directed to each manufacturing equipment based on the adjustment parameter set.

[0041] As a further solution of the present invention: the equipment line generation module includes:

[0042] The equipment group creation unit is used to obtain the product flow chart, query the manufacturing equipment of each step, and obtain the manufacturing equipment group indexed by the step label; the step label is obtained by connecting the components before the step is executed and the components after the step is executed;

[0043] The equipment group reading unit is used for the equipment group to receive the components selected by the staff, take the components as the final product, and read the manufacturing equipment group corresponding to all steps before the final product in the product flow chart;

[0044] The equipment selection unit is used to select one manufacturing equipment from the read manufacturing equipment group to obtain an equipment line with components as labels.

[0045] As a further solution of the present invention: the test data acquisition module includes:

[0046] An influence degree query unit, used for querying the influence degree of each step corresponding to each manufacturing equipment on the final product of the equipment line for any equipment line, and determining the production weight according to the influence degree;

[0047] a gradient determination unit, for determining a detection gradient of a manufacturing device according to a production weight;

[0048] A value space determination unit, used to determine the manufacturing parameter value space of each manufacturing device based on the detection gradient and the preset parameter range during the test phase; the manufacturing parameter is power;

[0049] A parameter combination unit, used to select and combine manufacturing parameters in each manufacturing parameter value space to obtain a manufacturing parameter group; the manufacturing parameter group has the same dimension as the manufacturing equipment group and corresponds one to one; when selecting manufacturing parameters in each manufacturing parameter value space, only one value is selected in one manufacturing parameter value space;

[0050] The product information acquisition unit is used to control the operation process of the manufacturing equipment based on the manufacturing parameter group and acquire product information at the same time.

[0051] As a further solution of the present invention: the manufacturing parameter classification module includes:

[0052] A classification unit, used to classify the manufacturing parameter groups based on the product information to obtain manufacturing parameter group clusters;

[0053] A pairing unit, used for pairing any two pieces of product information with the elements in the manufacturing parameter group clusters corresponding to the two pieces of product information; the elements are manufacturing parameter groups;

[0054] A span calculation unit, used to calculate the distance between two paired manufacturing parameter groups, select two manufacturing parameter groups whose distance is less than a preset distance threshold, and calculate a difference parameter group;

[0055] A difference application unit, used for using the difference parameter group as a regulation parameter set;

[0056] The distance calculation process is:

[0057] Where D[A,B] is the distance between two manufacturing parameter groups, N is the dimension of the manufacturing parameter group, and α i is the production weight of the manufacturing equipment corresponding to the i-th manufacturing parameter, A[i] and B[i] represent the i-th manufacturing parameters in the two manufacturing parameter groups respectively; max[i] represents the maximum value of the i-th manufacturing parameter, and min[i] represents the minimum value of the i-th manufacturing parameter.

[0058] Compared with the prior art, the beneficial effects of the present invention are: the present invention randomly sets and combines the parameters of the manufacturing equipment to obtain a variety of parameter combinations, and obtains product information at the same time. Then, based on the product information, the parameter combinations are clustered, and the clustered parameter combinations are compared to obtain which parameters need to be adjusted when converting any two types of product information. When a problem is detected in the product information, the parameters obtained by the test can be queried by itself to generate control instructions. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention.

[0060] Figure 1 Flow chart of industrial control method for intelligent manufacturing.

[0061] Figure 2 The first sub-process flowchart of the industrial control method for intelligent manufacturing.

[0062] Figure 3 The second sub-process flowchart of the industrial control method for intelligent manufacturing.

[0063] Figure 4 The third sub-process block diagram of the industrial control method for intelligent manufacturing.

[0064] Figure 5 The fourth sub-process flowchart of the industrial control method for intelligent manufacturing.

[0065] Figure 6 This is a structural block diagram of the industrial control system for intelligent manufacturing. DETAILED DESCRIPTION

[0066] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0067] Figure 1 The flowchart of the industrial control method of intelligent manufacturing is shown in FIG. 1 . In an embodiment of the present invention, an industrial control method of intelligent manufacturing includes:

[0068] Step S100: Combine manufacturing equipment according to the product flow chart to obtain an equipment line;

[0069] When each product is put into production, there will be a product flow chart, which shows the status of the product at different stages and what processes need to be carried out. By obtaining the manufacturing equipment that completes these processes and arranging them in the order of the product flow chart, we can get an assembly line composed of manufacturing equipment, which is called an equipment line.

[0070] It should be noted that the equipment line corresponds to the product. For example, in the product flow chart, an intermediate product is selected as the final product, and the corresponding manufacturing equipment for obtaining the final product is the equipment line of the product.

[0071] Step S200: determining the detection gradient of the manufacturing equipment according to the production weight of each manufacturing equipment in the equipment line, and in the test phase, determining and combining the manufacturing parameters of each manufacturing equipment based on the detection gradient, and obtaining product information at the same time; wherein one equipment line corresponds to a set of manufacturing parameters and one product information;

[0072] The degree of influence of each manufacturing equipment in the same equipment line on the product is different, which is represented by the parameter of production weight. The larger the production weight, the more important it is and the smaller the detection gradient is. The range of manufacturing parameters of each manufacturing equipment is known. By dividing the manufacturing parameters according to the detection gradient, a variety of manufacturing parameters can be obtained. By combining the manufacturing parameters of all manufacturing equipment in the same equipment line, a set of manufacturing parameters can be obtained. This is a combinatorial problem with multiple combination results. Furthermore, the product information corresponding to each combination result is obtained as the result of each set of manufacturing parameters. That is, one product corresponds to one equipment line, and the manufacturing parameters of each manufacturing equipment in one equipment line constitute a set of manufacturing parameters, which also corresponds to one product information.

[0073] The manufacturing parameters are generally selected from power or resource quantity, and the product information is generally the weight and visual information of the product.

[0074] Step S300: classifying the manufacturing parameters based on the product information, obtaining corresponding two types of manufacturing parameters for any two types of product information, and determining an adjustment parameter set based on the two types of manufacturing parameters;

[0075] The manufacturing parameters are classified based on the product information. The operation process is to classify the manufacturing parameters of different combinations corresponding to the same product information into one category. The result of the classification is that each product information corresponds to multiple groups of manufacturing parameters. Its practical significance is that different combinations of manufacturing parameters can be used to obtain the same (or highly similar) product, that is, multiple manufacturing equipment can obtain the same product under different working conditions. Therefore, the working state of multiple manufacturing equipment is a set of manufacturing parameters in the above content, and multiple working states are multiple groups of manufacturing parameters. Multiple groups of manufacturing parameters can obtain the same product information.

[0076] For any two product information, obtain their corresponding multiple sets of manufacturing parameters respectively, compare the multiple sets of manufacturing parameters corresponding to the two product information, and select a minimum difference. This difference means the minimum adjustment required to the manufacturing parameters when converting from one product information to another.

[0077] Step S200 and step S300 are actually a testing phase, which requires obtaining product information corresponding to each set of manufacturing parameters, and then classifying and processing each set of manufacturing parameters according to the product information.

[0078] Step S400: in the application stage, the current product information is acquired and identified in real time, the target product information is determined based on the identification result, the target product information and the current product information are used as two types of product information, the adjustment parameter set is read, and the control instructions directed to each manufacturing device are generated based on the adjustment parameter set;

[0079] Step S400 is the application stage, which acquires and identifies the current product information in real time, determines whether it needs to be adjusted according to preset evaluation rules, and then determines the target product information; wherein, the target product information is generally preset and belongs to the product information under the standard state. The meaning of determining the target product information based on the identification result is to first identify which product it is, and then query the corresponding standard state to obtain the target product information; the target product information and the current product information are regarded as two kinds of product information, and the adjustment parameter set is read. It can be known from the above content that the meaning of the adjustment parameter table is the minimum adjustment required to the manufacturing parameters when converting one product information to another product information. Therefore, control instructions to each manufacturing equipment can be generated based on the adjustment parameter set.

[0080] Figure 2 The first sub-flow chart of the industrial control method of intelligent manufacturing, wherein the step of combining manufacturing equipment according to the product flow chart to obtain the equipment line includes:

[0081] Step S101: Obtain a product flow chart, query the manufacturing equipment of each step, and obtain a manufacturing equipment group indexed by a step label; the step label is obtained by connecting the components before executing the step and the components after executing the step;

[0082] Step S102: receiving the components selected by the staff, taking the components as the final product, and reading the manufacturing equipment groups corresponding to all steps before the final product in the product flow chart;

[0083] Step S103: Select one manufacturing equipment from each of the read manufacturing equipment groups to obtain an equipment line labeled with a component.

[0084] The process of determining the equipment line is very simple. Under normal circumstances, a product flow chart has only one equipment line. Obtain the product flow chart, query the manufacturing equipment of each process, sort them in order, and get a combination of manufacturing equipment, which is called a manufacturing equipment group. If the staff selects the intermediate components in the product flow chart, then a similar scheme can be used to obtain the manufacturing equipment group of each intermediate component. In other words, the equipment line creation process is expanded and limited, and equipment lines for different products can be created according to needs.

[0085] Figure 3The second sub-flow chart of the industrial control method for intelligent manufacturing, wherein the detection gradient of the manufacturing equipment is determined according to the production weight of each manufacturing equipment in the equipment line, and in the test phase, the manufacturing parameters of each manufacturing equipment are determined and combined based on the detection gradient, and the step of obtaining product information at the same time includes:

[0086] Step S201: for any equipment line, query the influence of the steps corresponding to each manufacturing equipment on the final product of the equipment line, and determine the production weight according to the influence;

[0087] Step S202: determining the detection gradient of the manufacturing equipment according to the production weight;

[0088] Step S203: In the test phase, the manufacturing parameter value space of each manufacturing device is determined based on the detection gradient and the preset parameter range; the manufacturing parameter is power;

[0089] Step S204: Selecting and combining manufacturing parameters in each manufacturing parameter value space to obtain a manufacturing parameter group; the manufacturing parameter group has the same dimension as the manufacturing equipment group and corresponds one to one; when selecting manufacturing parameters in each manufacturing parameter value space, only one value is selected in one manufacturing parameter value space;

[0090] Step S205: Control the operation process of the manufacturing equipment based on the manufacturing parameter group and obtain product information at the same time.

[0091] After selecting the equipment line, query the impact of the steps corresponding to each manufacturing equipment on the final product of the equipment line, and then determine the production weight. The manufacturing equipment corresponds to the process, and the importance of each process is different, which is the default known data. The more important the process, the higher the production weight of the manufacturing equipment.

[0092] During the testing phase, the higher the production weight, the smaller the detection gradient. For manufacturing equipment, its parameter range is limited. The smaller the detection gradient, the more parameters need to be tested. In order to unify the format, the detection gradient is often expressed in percentage. One of the numerical values ​​of manufacturing parameters is power. For a certain manufacturing equipment, if the detection gradient is 10%, it is equivalent to dividing the power range into 11 levels (including the beginning and the end). If the detection gradient is 5%, it is equivalent to dividing the power range into 6 levels (including the beginning and the end). After the division, the manufacturing parameters can obtain values, which is the manufacturing parameter value space.

[0093] For a certain product, it is composed of multiple manufacturing equipment, each manufacturing equipment corresponds to a manufacturing parameter value space, and a manufacturing parameter is selected in each manufacturing parameter value space and combined to obtain a manufacturing parameter group. There are many ways of combination, and there are multiple manufacturing parameter groups corresponding to the same equipment line.

[0094] Multiple manufacturing parameter groups are the input of the testing phase. Each manufacturing parameter in the manufacturing parameter group is sent to the corresponding manufacturing equipment to obtain an actual assembly line, obtain the product information obtained by the assembly line, and obtain a test result.

[0095] Specifically, the step of controlling the operation process of the manufacturing equipment based on the manufacturing parameter group and acquiring product information at the same time includes:

[0096] Sending the manufacturing parameters to the corresponding manufacturing equipment based on the corresponding relationship between the manufacturing parameter group and the manufacturing equipment group;

[0097] Acquire product information based on sensors installed at the exit of tail manufacturing equipment;

[0098] The product information includes physical information and visual information; the physical information includes weight; and the visual information includes shape and color distribution characteristics.

[0099] Product information is actually a higher-level concept. Based on the correspondence between the manufacturing parameter group and the manufacturing equipment group, the manufacturing parameters are sent to the corresponding manufacturing equipment for a test. The product information is obtained based on the sensors installed at the exit of the tail manufacturing equipment. The sensors include physical sensors and visual sensors. The physical sensors include at least a weighing meter for obtaining weight. The visual sensors can obtain the shape and color distribution characteristics of the product.

[0100] Figure 4 The third sub-flow chart of the industrial control method for intelligent manufacturing, wherein the steps of classifying manufacturing parameters based on product information, obtaining corresponding two types of manufacturing parameters for any two types of product information, and determining the adjustment parameter set according to the two types of manufacturing parameters include:

[0101] Step S301: Classify the manufacturing parameter groups based on the product information to obtain manufacturing parameter group clusters;

[0102] Step S302: for any two product information, pair the elements in the manufacturing parameter clusters corresponding to the two product information with each other; the elements are manufacturing parameter groups;

[0103] Step S303: Calculate the distance between two paired manufacturing parameter groups, select two manufacturing parameter groups whose distance is less than a preset distance threshold, and calculate a difference parameter group;

[0104] Step S304: taking the difference parameter group as the adjustment parameter set.

[0105] The above content specifically limits the generation process of the adjustment parameter set. Combined with the above description, it can be known that one product information can correspond to multiple groups of manufacturing parameters. By comparing the product information, if the product information is similar enough, the corresponding two groups of manufacturing parameters are classified into one category. The process is executed repeatedly, and the multiple groups of manufacturing parameters obtained are called manufacturing parameter clusters. For any two types of product information, manufacturing parameter groups are selected from the two manufacturing parameter clusters respectively, and they are paired two by two. The distance between the two paired manufacturing parameter groups is calculated, and two manufacturing parameter groups with a sufficiently small (or minimum) distance are selected, and the difference parameter group is calculated as the adjustment parameter set.

[0106] In the above content, the distance calculation process is:

[0107] Where D[A,B] is the distance between two manufacturing parameter groups, N is the dimension of the manufacturing parameter group, and α i is the production weight of the manufacturing equipment corresponding to the i-th manufacturing parameter, A[i] and B[i] represent the i-th manufacturing parameters in the two manufacturing parameter groups respectively; max[i] represents the maximum value of the i-th manufacturing parameter, and min[i] represents the minimum value of the i-th manufacturing parameter.

[0108] The dimensions of the manufacturing parameter groups corresponding to the same equipment line are the same. When calculating, we only need to compare the data at the same position. In order to simplify the comparison process, for all the data of each manufacturing equipment, the difference between the maximum and minimum values ​​is calculated (which can be obtained from the manufacturing parameter value space), and then the ratio of each data to the difference is calculated. The data of all manufacturing equipment can be converted to the range of zero to one, and the calculation process is very easy. On this basis, combined with the production weight, more important equipment can have a greater impact on the final distance.

[0109] Figure 5 The fourth sub-flow chart of the industrial control method for intelligent manufacturing, wherein in the application stage, the current product information is acquired and identified in real time, the target product information is determined based on the identification result, the target product information and the current product information are used as two types of product information, the adjustment parameter set is read, and the control instructions directed to each manufacturing device are generated based on the adjustment parameter set. The steps include:

[0110] Step S401: in the application stage, real-time acquisition and identification of current product information;

[0111] Step S402: determining target product information based on the recognition result, taking the target product information and current product information as two types of product information, and reading an adjustment parameter set;

[0112] Step S403: query the manufacturing equipment corresponding to each adjustment parameter in the adjustment parameter set, and generate a control instruction directed to the manufacturing equipment according to the adjustment parameter.

[0113] In the application stage, the current product information is acquired and identified, and its standard state is queried as the target product information. The target product information and the current product information are used as two types of product information. In the results obtained in the testing stage, the adjustment parameter set is queried, and each adjustment parameter in the adjustment parameter set is sent to the corresponding manufacturing equipment to generate control instructions.

[0114] Figure 6 The following is a structural block diagram of an industrial control system for intelligent manufacturing. In an embodiment of the present invention, an industrial control system for intelligent manufacturing, the system 10 includes:

[0115] The equipment line generation module 11 is used to combine manufacturing equipment according to the product flow chart to obtain an equipment line;

[0116] The test data acquisition module 12 is used to determine the detection gradient of the manufacturing equipment according to the production weight of each manufacturing equipment in the equipment line. In the test phase, the manufacturing parameters of each manufacturing equipment are determined and combined based on the detection gradient, and the product information is obtained at the same time; wherein one equipment line corresponds to a set of manufacturing parameters and one product information;

[0117] A manufacturing parameter classification module 13 is used to classify the manufacturing parameters based on the product information, obtain the corresponding two types of manufacturing parameters for any two types of product information, and determine the adjustment parameter set according to the two types of manufacturing parameters;

[0118] The control instruction generation module 14 is used to obtain and identify the current product information in real time during the application stage, determine the target product information based on the identification result, use the target product information and the current product information as two types of product information, read the adjustment parameter set, and generate control instructions directed to each manufacturing equipment based on the adjustment parameter set.

[0119] Furthermore, the equipment line generation module 11 includes:

[0120] The equipment group creation unit is used to obtain the product flow chart, query the manufacturing equipment of each step, and obtain the manufacturing equipment group indexed by the step label; the step label is obtained by connecting the components before the step is executed and the components after the step is executed;

[0121] The equipment group reading unit is used for the equipment group to receive the components selected by the staff, take the components as the final product, and read the manufacturing equipment group corresponding to all steps before the final product in the product flow chart;

[0122] The equipment selection unit is used to select one manufacturing equipment from the read manufacturing equipment group to obtain an equipment line with components as labels.

[0123] Specifically, the test data acquisition module 12 includes:

[0124] An influence degree query unit, used for querying the influence degree of each step corresponding to each manufacturing equipment on the final product of the equipment line for any equipment line, and determining the production weight according to the influence degree;

[0125] a gradient determination unit, for determining a detection gradient of a manufacturing device according to a production weight;

[0126] A value space determination unit, used to determine the manufacturing parameter value space of each manufacturing device based on the detection gradient and the preset parameter range during the test phase; the manufacturing parameter is power;

[0127] A parameter combination unit, used to select and combine manufacturing parameters in each manufacturing parameter value space to obtain a manufacturing parameter group; the manufacturing parameter group has the same dimension as the manufacturing equipment group and corresponds one to one; when selecting manufacturing parameters in each manufacturing parameter value space, only one value is selected in one manufacturing parameter value space;

[0128] The product information acquisition unit is used to control the operation process of the manufacturing equipment based on the manufacturing parameter group and acquire product information at the same time.

[0129] Furthermore, the manufacturing parameter classification module 13 includes:

[0130] A classification unit, used to classify the manufacturing parameter groups based on the product information to obtain manufacturing parameter group clusters;

[0131] A pairing unit, used for pairing any two pieces of product information with the elements in the manufacturing parameter group clusters corresponding to the two pieces of product information; the elements are manufacturing parameter groups;

[0132] A span calculation unit, used to calculate the distance between two paired manufacturing parameter groups, select two manufacturing parameter groups whose distance is less than a preset distance threshold, and calculate a difference parameter group;

[0133] A difference application unit, used for using the difference parameter group as a regulation parameter set;

[0134] The distance calculation process is:

[0135] Where D[A,B] is the distance between two manufacturing parameter groups, N is the dimension of the manufacturing parameter group, and α i is the production weight of the manufacturing equipment corresponding to the i-th manufacturing parameter, A[i] and B[i] represent the i-th manufacturing parameters in the two manufacturing parameter groups respectively; max[i] represents the maximum value of the i-th manufacturing parameter, and min[i] represents the minimum value of the i-th manufacturing parameter.

[0136] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. An industrial control method for intelligent manufacturing, characterized in that: The method comprises: Combine manufacturing equipment according to the product flow chart to obtain an equipment line; Determine the detection gradient of the manufacturing equipment according to the production weight of each manufacturing equipment in the equipment line. In the test phase, determine and combine the manufacturing parameters of each manufacturing equipment based on the detection gradient, and obtain product information at the same time; wherein one equipment line corresponds to a set of manufacturing parameters and one product information; Classify the manufacturing parameters based on the product information, obtain the corresponding two types of manufacturing parameters for any two types of product information, and determine the adjustment parameter set based on the two types of manufacturing parameters; In the application stage, the current product information is acquired and identified in real time, the target product information is determined based on the identification result, the target product information and the current product information are used as two types of product information, the adjustment parameter set is read, and the control instructions directed to each manufacturing device are generated based on the adjustment parameter set; The step of determining the detection gradient of the manufacturing equipment according to the production weight of each manufacturing equipment in the equipment line, determining and combining the manufacturing parameters of each manufacturing equipment based on the detection gradient in the testing phase, and obtaining product information at the same time includes: For any equipment line, query the influence of the steps corresponding to each manufacturing equipment on the final product of the equipment line, and determine the production weight according to the influence; Determine the inspection gradient of manufacturing equipment according to production weight; In the testing phase, the manufacturing parameter value space of each manufacturing device is determined based on the detection gradient and the preset parameter range; the manufacturing parameter is power; Selecting and combining manufacturing parameters in each manufacturing parameter value space to obtain a manufacturing parameter group; the manufacturing parameter group has the same dimension as the manufacturing equipment group and corresponds one to one; when selecting manufacturing parameters in each manufacturing parameter value space, only one value is selected in one manufacturing parameter value space; Control the operation process of manufacturing equipment based on the manufacturing parameter group and obtain product information at the same time; The steps of classifying the manufacturing parameters based on the product information, obtaining corresponding two types of manufacturing parameters for any two types of product information, and determining the adjustment parameter set according to the two types of manufacturing parameters include: Based on product information, the manufacturing parameter groups are classified to obtain manufacturing parameter clusters; For any two product information, pair the elements in the manufacturing parameter group clusters corresponding to the two product information in pairs; the elements are manufacturing parameter groups; Calculate the distance between two paired manufacturing parameter groups, select two manufacturing parameter groups whose distance is less than a preset distance threshold, and calculate the difference parameter group; The difference parameter group is used as the adjustment parameter set; The distance calculation process is: Where D[A,B] is the distance between two manufacturing parameter groups, N is the dimension of the manufacturing parameter group, and α i is the production weight of the manufacturing equipment corresponding to the i-th manufacturing parameter, A[i] and B[i] represent the i-th manufacturing parameters in the two manufacturing parameter groups respectively; max[i] represents the maximum value of the i-th manufacturing parameter, and min[i] represents the minimum value of the i-th manufacturing parameter.

2. The industrial control method of intelligent manufacturing according to claim 1, characterized in that: The step of combining manufacturing equipment according to the product flow chart to obtain an equipment line includes: Obtain a product flow chart, query the manufacturing equipment of each step, and obtain a manufacturing equipment group indexed by a step label; the step label is obtained by connecting the components before executing the step and the components after executing the step; Receive the ingredients selected by the staff, take the ingredients as the final product, and read the manufacturing equipment group corresponding to all steps before the final product in the product flow chart; One manufacturing equipment is selected from each of the read manufacturing equipment groups to obtain equipment lines labeled with components.

3. The industrial control method of intelligent manufacturing according to claim 1, characterized in that: The step of controlling the operation process of the manufacturing equipment based on the manufacturing parameter group and obtaining product information at the same time comprises: Sending the manufacturing parameters to the corresponding manufacturing equipment based on the corresponding relationship between the manufacturing parameter group and the manufacturing equipment group; Acquire product information based on sensors installed at the exit of tail manufacturing equipment; The product information includes physical information and visual information; the physical information includes weight; and the visual information includes shape and color distribution characteristics.

4. The industrial control method for intelligent manufacturing according to claim 1, characterized in that: In the application stage, the steps of acquiring and identifying the current product information in real time, determining the target product information based on the identification result, taking the target product information and the current product information as two types of product information, reading the adjustment parameter set, and generating control instructions directed to each manufacturing device based on the adjustment parameter set include: In the application stage, current product information is acquired and identified in real time; Determine the target product information based on the recognition result, take the target product information and the current product information as two types of product information, and read the adjustment parameter set; The manufacturing equipment corresponding to each adjustment parameter in the adjustment parameter set is queried, and a control instruction directed to the manufacturing equipment is generated according to the adjustment parameter.

5. An industrial control system for intelligent manufacturing, characterized in that: The system comprises: The equipment line generation module is used to combine manufacturing equipment according to the product flow chart to obtain the equipment line; A test data acquisition module is used to determine the detection gradient of the manufacturing equipment according to the production weight of each manufacturing equipment in the equipment line. In the test phase, the manufacturing parameters of each manufacturing equipment are determined and combined based on the detection gradient, and product information is obtained at the same time; wherein one equipment line corresponds to a set of manufacturing parameters and one product information; A manufacturing parameter classification module is used to classify manufacturing parameters based on product information, obtain corresponding two types of manufacturing parameters for any two types of product information, and determine an adjustment parameter set based on the two types of manufacturing parameters; A control instruction generation module is used to obtain and identify the current product information in real time during the application phase, determine the target product information based on the identification result, use the target product information and the current product information as two types of product information, read the adjustment parameter set, and generate control instructions directed to each manufacturing device based on the adjustment parameter set; The test data acquisition module comprises: An influence degree query unit, used for querying the influence degree of each step corresponding to each manufacturing equipment on the final product of the equipment line for any equipment line, and determining the production weight according to the influence degree; a gradient determination unit, for determining a detection gradient of a manufacturing device according to a production weight; A value space determination unit, used to determine the manufacturing parameter value space of each manufacturing device based on the detection gradient and the preset parameter range during the test phase; the manufacturing parameter is power; A parameter combination unit, used to select and combine manufacturing parameters in each manufacturing parameter value space to obtain a manufacturing parameter group; the manufacturing parameter group has the same dimension as the manufacturing equipment group and corresponds one to one; when selecting manufacturing parameters in each manufacturing parameter value space, only one value is selected in one manufacturing parameter value space; A product information acquisition unit, used to control the operation process of the manufacturing equipment based on the manufacturing parameter group and acquire product information at the same time; The manufacturing parameter classification module includes: A classification unit, used to classify the manufacturing parameter groups based on the product information to obtain manufacturing parameter group clusters; A pairing unit, used for pairing any two pieces of product information with the elements in the manufacturing parameter group clusters corresponding to the two pieces of product information; the elements are manufacturing parameter groups; A span calculation unit, used to calculate the distance between two paired manufacturing parameter groups, select two manufacturing parameter groups whose distance is less than a preset distance threshold, and calculate a difference parameter group; A difference application unit, used for using the difference parameter group as a regulation parameter set; The distance calculation process is: Where D[A,B] is the distance between two manufacturing parameter groups, N is the dimension of the manufacturing parameter group, and α i is the production weight of the manufacturing equipment corresponding to the i-th manufacturing parameter, A[i] and B[i] represent the i-th manufacturing parameters in the two manufacturing parameter groups respectively; max[i] represents the maximum value of the i-th manufacturing parameter, and min[i] represents the minimum value of the i-th manufacturing parameter.

6. The industrial control system for intelligent manufacturing according to claim 5, characterized in that: The equipment line generation module includes: The equipment group creation unit is used to obtain the product flow chart, query the manufacturing equipment of each step, and obtain the manufacturing equipment group indexed by the step label; the step label is obtained by connecting the components before the step is executed and the components after the step is executed; The equipment group reading unit is used for the equipment group to receive the components selected by the staff, take the components as the final product, and read the manufacturing equipment group corresponding to all steps before the final product in the product flow chart; The equipment selection unit is used to select one manufacturing equipment from the read manufacturing equipment group to obtain an equipment line with components as labels.

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