An artificial intelligence-based process product traceability system

Abstract

The present invention discloses an artificial intelligence-based process single product tracing system, which specifically relates to the field of mechanical manufacturing. The system comprises a process determination module, which is used to determine a target process single product as a target detection area, divide the area into detection sub-areas according to the number of processes, and mark them as 1, 2...n in sequence; a process single product data acquisition module, which is used to collect data on the target process single item, obtain process single item data, and transmit the collected process single product data to a process single product data processing and analysis module; the present invention simultaneously utilizes the process single product data acquisition module and the process data acquisition module to collect product information, equipment alarm data, and equipment status data of the traced product when tracing problem products, thereby improving the product tracing effect.

Description

Technical Field

[0001] The present invention relates to the field of mechanical manufacturing technology, and more specifically, to an artificial intelligence-based process single product tracing system. Background Art

[0002] In the machinery manufacturing industry, product production often involves multiple processes and parts. Problems in any link may affect the quality of the entire product. By tracing the process items, we can improve product quality and safety, strengthen supply chain management and risk control, enhance consumer trust and brand competitiveness, improve production efficiency and reduce costs. Therefore, it is particularly important to trace the product throughout the entire process.

[0003] At present, the traditional process single product traceability system mainly includes data acquisition module, data analysis and processing module, traceability and backtracing module, and user interface module; the data acquisition module will use sensors and Internet of Things technology to collect information on each process single product, and obtain raw material information, process records, quality inspection results, and logistics information; the data analysis and processing module will use artificial intelligence algorithms to analyze and process the collected big data, and identify the correlation and patterns between data; when there are quality problems or safety hazards in the product, the traceability and backtracing module can quickly trace the flow and process of the problem product, use Internet of Things technology to obtain the product's unique identification code, and build a product traceability chain through blockchain technology to record and store every flow and process of the product; when quality problems occur, the traceability chain is analyzed using artificial intelligence algorithms to quickly locate the source and cause of the problem; the user interface module will provide a friendly user interface to facilitate users to query and manage product information.

[0004] However, it still has some shortcomings in actual use. For example, in the data acquisition module, data collection is not comprehensive. When tracing problem products, only the product information of the traceable products is collected, and the collection of equipment alarm data and equipment status data is ignored, which reduces the product optimization effect; the data accuracy is insufficient. In the data acquisition module, the collection of process items only collects existing product information, and the process item information cannot be collected in real time, resulting in insufficient data accuracy and low product traceability accuracy; the tracing standards are different. In the traceability and backtracing modules, due to the different supply chain management of different categories of products, it is difficult to use a unified standard in the traceability process, resulting in waste of resources.

[0005] Therefore, there is an urgent need to provide an artificial intelligence-based process single product traceability system to solve the problems of insufficient data accuracy, incomplete data collection, and inconsistent tracing standards in the existing process single product traceability system. Summary of the Invention

[0006] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides an artificial intelligence-based process single product traceability system to solve the problems raised in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention provides the following technical solution: an artificial intelligence-based process single product traceability system, comprising:

[0008] Process determination module: used to determine the target process items as the target detection area, divide them into detection sub-areas according to the number of process steps, and mark them as 1, 2...n in sequence;

[0009] Process item data collection module: used to collect data on target process items, obtain process item data, and transmit the collected process item data to the process item data processing and analysis module. The process item data includes the physical performance parameters, mechanical performance parameters, and electrical performance parameters of the process item.

[0010] Process single product data processing and analysis module: used to receive the data collected by the process single product data acquisition module, analyze and process the data to obtain the process single product physical performance coefficient, process single product mechanical performance coefficient and process single product electrical performance coefficient, and transmit them to the process single product traceability rationality index calculation module;

[0011] Process data acquisition module: used to scan the QR code image on the target detection process item to obtain process data and transmit it to the process data acquisition module, where the process data includes parameters affecting raw material production data, process data, and production equipment.

[0012] Process data processing and analysis module: used to receive the data collected by the process data acquisition module, analyze and process the data to obtain the influencing parameters of raw material production data, process data and production equipment, and transmit them to the process single product traceability rationality index calculation module;

[0013] Process single product traceability rationality index calculation module: used to import the process single product physical performance coefficient value, process single product mechanical performance coefficient value, process single product electrical performance coefficient value, process single product physical performance coefficient value, process single product mechanical performance coefficient value and process single product electrical performance coefficient value into the process single product traceability rationality index mathematical model to obtain the process single product traceability rationality value;

[0014] Process single product traceability judgment module: used to compare the process single product traceability rationality value with the preset process single product process rationality value under normal operation, calculate the difference between the process single product traceability rationality value and the preset process single product process rationality value under normal operation, when the difference value is greater than the preset difference value, transmit the process data to the single product traceability module, when the difference value is less than the preset difference value, transmit the process data to the data interaction transmission module;

[0015] Single product traceability module: When the difference between the reasonableness value of the target process product traceability and the reasonableness value of the preset process product under normal operation is too large, that is, when quality problems or safety hazards occur, the traceability and backtracking module can quickly trace the flow and process of the problem product, use the Internet of Things technology to obtain the unique identification code of the product, and build a product traceability chain through blockchain technology, record and store every flow and process of the product, quickly locate the source and cause of the problem, and transmit the data to the data interaction and transmission module;

[0016] Data interaction and transmission module: used to transmit the difference values ​​calculated by the process single product traceability judgment module and the product data fed back by the single product traceability module to the administrator's data terminal, and provide reference numbers for alerting the administrator to make adjustment measures.

[0017] Preferably, the physical performance parameters of the process item include the mass of the process item, denoted as m; the volume of the process item, denoted as V; the length of the process item, denoted as l; the width of the process item, denoted as w; the height of the process item, denoted as h; the mechanical performance parameters of the process item include the tensile strength of the process item, denoted as σ; the elastic modulus, denoted as E; the impact toughness of the process item, denoted as I; the hardness of the process item, denoted as HB; the electrical performance parameters of the process item include the resistance of the process item, denoted as R; the limiting power of the process item, denoted as P; the limiting voltage of the process item, denoted as U; the limiting current of the process item, denoted as I; the capacitance of the process item, denoted as C; and the conductivity of the process item, denoted as ε.

[0018] Preferably, the process single product data processing and analysis module includes a process single product physical performance coefficient calculation unit, a process single product mechanical performance coefficient calculation unit, and a process single product electrical performance coefficient calculation unit.

[0019] Preferably, the process single product physical performance coefficient calculation unit is used to import the process single product physical performance parameters into the process single product physical performance coefficient mathematical model to obtain the process single product physical performance coefficient value; the process single product mechanical performance coefficient calculation unit is used to import the process single product mechanical performance parameters into the process single product mechanical performance coefficient mathematical model to obtain the process single product mechanical performance coefficient value; the process single product electrical performance coefficient calculation unit is used to import the process single product electrical performance parameters into the process single product electrical performance coefficient mathematical model to obtain the process single product electrical performance coefficient value.

[0020] Preferably, the mathematical model of the physical property coefficient of the process single product is specifically: The mathematical model of the mechanical performance coefficient of a single process product is as follows: The mathematical model of the electrical performance coefficient of a single process product is as follows: in represents the standard hardness of the same target process single product type, ω represents the impact toughness and other process single product mechanical properties influencing factors, E min Indicates the standard minimum elastic modulus of the target process single product type, E max It represents the standard maximum elastic modulus of the same target process single product type, and ξ represents the influencing factor of the electrical performance of process single products such as inductors.

[0021] Preferably, the raw material production data influencing parameters include raw material density, recorded as ρ; raw material resistivity, recorded as δ; raw material tensile strength, recorded as σ 原 ; Raw material hardness, recorded as HB 原 ; The process data influencing parameters include the production process operating temperature, recorded as T; the production process operating speed, recorded as v; the production process operating pressure, recorded as F; the production equipment influencing parameters include the production equipment operating voltage, recorded as U 设 ; The operating current of the production equipment is recorded as I 设 ; Operation power of production equipment, denoted as P 设 ; The production efficiency of production equipment is denoted as η.

[0022] Preferably, the process data analysis module includes a process single product physical performance coefficient calculation unit, a process single product mechanical performance coefficient calculation unit and a process single product electrical performance coefficient calculation unit.

[0023] Preferably, the raw material production data influence coefficient calculation unit is used to import the raw material production data influence parameters into the raw material production data influence coefficient mathematical model to obtain the raw material production data influence coefficient value; the process data influence coefficient calculation unit is used to import the process data influence parameters into the process data influence coefficient mathematical model to obtain the process data influence coefficient value; the production equipment influence coefficient calculation unit is used to import the production equipment influence parameters into the production equipment influence coefficient mathematical model to obtain the production equipment influence coefficient value.

[0024] Preferably, the mathematical model of the raw material production data influence coefficient is specifically: The mathematical model of the process data influence coefficient is as follows: The mathematical model of the production equipment influence coefficient is as follows: where v i Indicates the operating speed of the i-th process production, F min Indicates the minimum allowable pressure during the production of the i-th process, F max Indicates the maximum allowable pressure during the production of the i-th process, T i The operating temperature of the i-th process during production, the standard operating temperature of the T process, Indicates the operating voltage of the i-th process equipment, represents the operating current of the i-th process equipment, represents the operating power of the i-th process equipment, η i Represents the working efficiency of the equipment in the i-th process.

[0025] Preferably, the rationality value of the process item traceability is specifically:

[0026] Technical effects and advantages of the present invention:

[0027] 1. The present invention simultaneously utilizes the process data collection module and the process data collection module to collect product information, equipment alarm data, and equipment status data of the traced products when tracing problem products, thereby improving the product tracing effect;

[0028] 2. The present invention collects process item information in real time in the process item data collection module, thereby improving data accuracy and improving product traceability accuracy;

[0029] 3. The present invention utilizes the traceability process in the process item backtracking module to analyze the target process item and uses different standards to make effective use of resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 It is a schematic diagram of the overall structure of the present invention. DETAILED DESCRIPTION

[0031] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0032] As attached Figure 1 The artificial intelligence-based process single product traceability system shown includes: a process determination module, a process single product data collection module, a process single product data processing and analysis module, a process data collection module, a process data analysis module, a process single product traceability rationality index calculation module, a process single product traceability judgment module, a single product traceability module, and a data interaction and transmission module; the process single product data processing and analysis module includes a process single product physical performance coefficient calculation unit, a process single product mechanical performance coefficient calculation unit, and a process single product electrical performance coefficient calculation unit; the process data analysis module includes a process single product physical performance coefficient calculation unit, a process single product mechanical performance coefficient calculation unit, and a process single product electrical performance coefficient calculation unit.

[0033] The output end of the process determination module is connected to the input end of the process single product data processing and analysis module by telecommunication, the output end of the process single product data collection module is connected to the input end of the process single product data processing and analysis module by telecommunication, the output end of the process single product data processing and analysis module is connected to the input end of the process single product traceability rationality index calculation module by telecommunication, the output end of the process determination module is connected to the input end of the process data collection module by telecommunication, the output end of the process data collection module is connected to the input end of the process data analysis module by telecommunication, the output end of the process data analysis module is connected to the input end of the process single product traceability rationality index calculation module by telecommunication, the output end of the process single product traceability judgment module is connected to the input end of the data interactive transmission module by telecommunication, the output end of the process single product traceability judgment module is connected to the input end of the process single product tracing module by telecommunication, and the output end of the process single product tracing module is connected to the input end of the data interactive transmission module by telecommunication.

[0034] The process determination module is used to determine the target process item as the target detection area, divide it into detection sub-areas according to the number of process steps, and mark them as 1, 2...n in sequence.

[0035] The process single product data acquisition module is used to collect data on the target process single product to obtain process single product data, and transmit the collected process single product data to the process single product data processing and analysis module, wherein the process single product data includes the process single product physical performance parameters, process single product mechanical performance parameters and process single product electrical performance parameters.

[0036] In this embodiment, it should be specifically noted that the physical performance parameters of the process item include the mass of the process item, denoted as m; the volume of the process item, denoted as V; the length of the process item, denoted as l; the width of the process item, denoted as w; the height of the process item, denoted as h; the mechanical performance parameters of the process item include the tensile strength of the process item, denoted as σ; the elastic modulus, denoted as E; the impact toughness of the process item, denoted as I; the hardness of the process item, denoted as HB; the electrical performance parameters of the process item include the resistance of the process item, denoted as R; the limiting power of the process item, denoted as P; the limiting voltage of the process item, denoted as U; the limiting current of the process item, denoted as I; the capacitance of the process item, denoted as C; and the conductivity of the process item, denoted as ε.

[0037] The process single product data processing and analysis module is used to receive the data collected by the process single product data collection module for analysis and processing to obtain the process single product physical performance coefficient, process single product mechanical performance coefficient and process single product electrical performance coefficient, and transmit them to the process single product traceability rationality index calculation module.

[0038] The process single product physical performance coefficient calculation unit is used to import the process single product physical performance parameters into the process single product physical performance coefficient mathematical model to obtain the process single product physical performance coefficient value; the process single product mechanical performance coefficient calculation unit is used to import the process single product mechanical performance parameters into the process single product mechanical performance coefficient mathematical model to obtain the process single product mechanical performance coefficient value; the process single product electrical performance coefficient calculation unit is used to import the process single product electrical performance parameters into the process single product electrical performance coefficient mathematical model to obtain the process single product electrical performance coefficient value.

[0039] In this embodiment, it should be specifically explained that the mathematical model of the physical performance coefficient of the process single product is specifically: The mathematical model of the mechanical performance coefficient of a single process product is as follows: The mathematical model of the electrical performance coefficient of a single process product is as follows: in represents the standard hardness of the same target process single product type, ω represents the impact toughness and other process single product mechanical properties influencing factors, E min Indicates the standard minimum elastic modulus of the target process single product type, E max It represents the standard maximum elastic modulus of the same target process single product type, and ξ represents the influencing factor of the electrical performance of process single products such as inductors.

[0040] The process data acquisition module is used to scan the QR code image on the target detection process item to obtain process data and transmit it to the process data acquisition module, where the process data includes parameters affecting raw material production data, process data affecting parameters, and production equipment affecting parameters.

[0041] In this embodiment, it should be specifically noted that the parameters affecting the raw material production data include raw material density, denoted as ρ; raw material resistivity, denoted as δ; raw material tensile strength, denoted as σ 原 ; Raw material hardness, recorded as HB 原 ; The process data influencing parameters include the production process operating temperature, recorded as T; the production process operating speed, recorded as v; the production process operating pressure, recorded as F; the production equipment influencing parameters include the production equipment operating voltage, recorded as U 设 ; The operating current of the production equipment is recorded as I 设 ; Operation power of production equipment, denoted as P 设 ; The production efficiency of production equipment is denoted as η.

[0042] The process data processing and analysis module is used to receive the data collected by the process data collection module for analysis and processing to obtain the raw material production data influencing parameters, process data influencing parameters and production equipment influencing parameters, and transmit them to the process single product traceability rationality index calculation module.

[0043] The raw material production data influence coefficient calculation unit is used to import the raw material production data influence parameters into the raw material production data influence coefficient mathematical model to obtain the raw material production data influence coefficient value; the process data influence coefficient calculation unit is used to import the process data influence parameters into the process data influence coefficient mathematical model to obtain the process data influence coefficient value; the production equipment influence coefficient calculation unit is used to import the production equipment influence parameters into the production equipment influence coefficient mathematical model to obtain the production equipment influence coefficient value.

[0044] In this embodiment, it should be specifically noted that the mathematical model of the raw material production data influence coefficient is: The mathematical model of the process data influence coefficient is as follows: The mathematical model of the production equipment influence coefficient is as follows: where v i Indicates the operating speed of the i-th process production, F min Indicates the minimum allowable pressure during the production of the i-th process, F max Indicates the maximum allowable pressure during the production of the i-th process, T i The operating temperature during production of the i-th process, Standard operating temperature of the process, Indicates the operating voltage of the i-th process equipment, represents the operating current of the i-th process equipment, represents the operating power of the i-th process equipment, η i Represents the working efficiency of the equipment in the i-th process.

[0045] The process single product traceability rationality index calculation module is used to import the process single product physical performance coefficient value, process single product mechanical performance coefficient value, process single product electrical performance coefficient value, process single product physical performance coefficient value, process single product mechanical performance coefficient value and process single product electrical performance coefficient value into the process single product traceability rationality index mathematical model to obtain the process single product traceability rationality value.

[0046] In this embodiment, it should be specifically noted that the rationality value of the process item traceability is specifically:

[0047]

[0048] The process single product traceability judgment module is used to compare the process single product traceability rationality value with the preset process single product process rationality value under normal operation, calculate the difference between the process single product traceability rationality value and the preset process single product process rationality value under normal operation, and when the difference value is greater than the preset difference value, transmit the process data to the single product traceability module; when the difference value is less than the preset difference value, transmit the process data to the data interaction transmission module.

[0049] What needs to be specifically explained in this embodiment is that the rationality value of the preset process item under normal operation is the average of the previous process item preset values, where the average removes the maximum and minimum values, and the maximum and minimum values ​​are both the rationality values ​​of the process item traceability for extreme process item production failures.

[0050] The single product tracing module is used to quickly trace the flow and process of the problem product when the difference between the information process product traceability rationality value of the target process product and the rationality value of the preset process product under normal operation is too large, that is, when quality problems or safety hazards occur. The traceability and backtracking module can use the Internet of Things technology to obtain the unique identification code of the product, and build a product traceability chain through blockchain technology to record and store every flow and process of the product, quickly locate the source and cause of the problem, and transmit the data to the data interaction and transmission module.

[0051] The data interaction and transmission module is used to transmit the difference value calculated by the process single product traceability judgment module and the product data fed back by the single product traceability module to the administrator's data terminal, and provide reference data for alerting the administrator to make adjustment measures.

[0052] Secondly: The drawings of the embodiments disclosed in the present invention only involve structures related to the embodiments disclosed in the present invention. Other structures may refer to conventional designs. The same embodiment and different embodiments of the present invention may be combined with each other without conflict.

[0053] Finally: 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, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. An artificial intelligence-based process single product traceability system, characterized by: include: Process determination module: used to determine the target process items as the target detection area, divide them into detection sub-areas according to the number of process steps, and mark them as 1, 2...n in sequence; Process item data collection module: used to collect data on target process items, obtain process item data, and transmit the collected process item data to the process item data processing and analysis module. The process item data includes the physical performance parameters, mechanical performance parameters, and electrical performance parameters of the process item. Process single product data processing and analysis module: used to receive the data collected by the process single product data acquisition module, analyze and process the data to obtain the process single product physical performance coefficient, process single product mechanical performance coefficient and process single product electrical performance coefficient, and transmit them to the process single product traceability rationality index calculation module; Process data acquisition module: used to scan the QR code image on the target detection process item to obtain process data and transmit it to the process data acquisition module, where the process data includes parameters affecting raw material production data, process data, and production equipment. Process data processing and analysis module: used to receive the data collected by the process data acquisition module, analyze and process the data to obtain the influencing parameters of raw material production data, process data and production equipment, and transmit them to the process single product traceability rationality index calculation module; Process single product traceability rationality index calculation module: used to import the process single product physical performance coefficient value, process single product mechanical performance coefficient value, process single product electrical performance coefficient value, process single product physical performance coefficient value, process single product mechanical performance coefficient value and process single product electrical performance coefficient value into the process single product traceability rationality index mathematical model to obtain the process single product traceability rationality value; Process single product traceability judgment module: used to compare the process single product traceability rationality value with the preset process single product process rationality value under normal operation, calculate the difference between the process single product traceability rationality value and the preset process single product process rationality value under normal operation, when the difference value is greater than the preset difference value, transmit the process data to the single product traceability module, when the difference value is less than the preset difference value, transmit the process data to the data interaction transmission module; Single product traceability module: When the difference between the reasonableness value of the target process product traceability and the reasonableness value of the preset process product under normal operation is too large, that is, when quality problems or safety hazards occur, the traceability and backtracking module can quickly trace the flow and process of the problem product, use the Internet of Things technology to obtain the unique identification code of the product, and build a product traceability chain through blockchain technology, record and store every flow and process of the product, quickly locate the source and cause of the problem, and transmit the data to the data interaction and transmission module; Data interaction and transmission module: used to transmit the difference values ​​calculated by the process single product traceability judgment module and the product data fed back by the single product traceability module to the administrator's data terminal, and provide reference numbers for alerting the administrator to make adjustment measures.

2. The artificial intelligence-based process single product traceability system according to claim 1, characterized in that: The physical performance parameters of the process single product include the process single product mass, recorded as m; the process single product volume, recorded as V; the process single product length, recorded as l; the process single product width, recorded as w; the process single product height, recorded as h; the process single product mechanical performance parameters include the process single product tensile strength, recorded as ; Elastic modulus, recorded as E; process single product impact toughness, recorded as ; Process single product hardness, recorded as HB; process single product electrical performance parameters include process single product resistance, recorded as R; process single product limit power, recorded as P; process single product limit voltage, recorded as U; process single product limit current, recorded as I; process single product capacitance, recorded as C; process single product conductivity, recorded as .

3. The artificial intelligence-based process single product traceability system according to claim 1, characterized in that: The process single product data processing and analysis module includes a process single product physical performance coefficient calculation unit, a process single product mechanical performance coefficient calculation unit, and a process single product electrical performance coefficient calculation unit.

4. The artificial intelligence-based process single product traceability system according to claim 3, characterized in that: The process single product physical performance coefficient calculation unit is used to import the process single product physical performance parameters into the process single product physical performance coefficient mathematical model to obtain the process single product physical performance coefficient value; the process single product mechanical performance coefficient calculation unit is used to import the process single product mechanical performance parameters into the process single product mechanical performance coefficient mathematical model to obtain the process single product mechanical performance coefficient value; The process single product electrical performance coefficient calculation unit is used to import the process single product electrical performance parameters into the process single product electrical performance coefficient mathematical model to obtain the process single product electrical performance coefficient value.

5. The artificial intelligence-based process single product traceability system according to claim 2, characterized in that: The mathematical model of the physical performance coefficient of the process single product is specifically: , the mathematical model of the mechanical performance coefficient of the process single product is specifically: , the mathematical model of the electrical performance coefficient of a single process product is specifically: ,in Indicates the standard hardness of a single product of the same target process. Indicates the influencing factor of mechanical properties of single product in the process, Indicates the standard minimum elastic modulus of the target process single product type, Indicates the standard maximum elastic modulus of a single product type in the same target process. Indicates the influencing factor of the electrical performance of a single product in the process.

6. The artificial intelligence-based process single product traceability system according to claim 5, characterized in that: The raw material production data influencing parameters include raw material density, denoted as ; The resistivity of the raw material is expressed as ; The tensile strength of the raw material is recorded as ; Raw material hardness, recorded as ; The parameters affecting the process data include the operating temperature of the production process, which is recorded as ; The production process speed is recorded as ; The operating pressure of the production process is recorded as ; The parameters affecting the production equipment include the operating voltage of the production equipment, which is recorded as ; The operating current of production equipment is recorded as ; The operating power of production equipment is recorded as ; The production efficiency of production equipment is recorded as .

7. The artificial intelligence-based process single product traceability system according to claim 1, characterized in that: The process data analysis module includes a process single product physical performance coefficient calculation unit, a process single product mechanical performance coefficient calculation unit and a process single product electrical performance coefficient calculation unit.

8. The artificial intelligence-based process single product traceability system according to claim 7, characterized in that: The raw material production data influence coefficient calculation unit is used to import the raw material production data influence parameters into the raw material production data influence coefficient mathematical model to obtain the raw material production data influence coefficient value; the process data influence coefficient calculation unit is used to import the process data influence parameters into the process data influence coefficient mathematical model to obtain the process data influence coefficient value; the production equipment influence coefficient calculation unit is used to import the production equipment influence parameters into the production equipment influence coefficient mathematical model to obtain the production equipment influence coefficient value.

9. The artificial intelligence-based process single product traceability system according to claim 6, characterized in that: The mathematical model of the influence coefficient of raw material production data is specifically: , the mathematical model of the process data influence coefficient is specifically: , the mathematical model of the production equipment influence coefficient is specifically: ,in represents the operating speed of the i-th process during production, It represents the minimum allowable pressure during the production of the i-th process, It represents the maximum allowable pressure during the production of the i-th process, represents the operating temperature during the production of the i-th process, Indicates the standard operating temperature of the process. Indicates the operating voltage of the i-th process equipment, represents the operating current of the i-th process equipment, represents the operating power of the i-th process equipment, Represents the working efficiency of the equipment in the i-th process.

10. The artificial intelligence-based process single product traceability system according to claim 9, characterized in that: The specific values ​​of the rationality of the process item traceability are: .

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