Multi-factor cross fusion processed agricultural product quality analysis and prediction method and system

Abstract

The invention discloses a multi-factor cross fusion processed agricultural product quality analysis and prediction method and system, and relates to the technical field of agricultural product processing regulation and control, and the method comprises the steps: obtaining agricultural product processing and manufacturing flow parameters of a current production line, and calculating the basic processing capability of the production line based on the agricultural product processing and manufacturing flow parameters; processing duration required by future agricultural product orders is acquired, order processing requirements are calculated based on the processing duration required by the orders, and the orders with the agricultural product processing requirements larger than the basic processing capacity of the production line are screened out based on the processing requirements of the agricultural product orders and the basic processing capacity of the production line and recorded as overrun orders; the method comprises the steps of determining an overrun processing demand required in an overrun order, adjusting a processing and manufacturing process strategy based on the overrun processing demand, obtaining a processing and manufacturing process change trend function, and adjusting the basic processing capacity of a production line based on the change trend function. The method has the advantages that the production efficiency and production quality of a production line are improved, the production cost of enterprises is reduced, and order timeout is avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of agricultural product processing and regulation, and in particular to a method and system for analyzing and predicting the quality of processed agricultural products by cross-integration of multiple factors. Background Art

[0002] Agricultural product processing quality and safety management refers to the process of agricultural product processing, through a series of standardized control measures, strict monitoring system and continuous improvement mechanism to ensure that the processed agricultural products meet food safety standards, protect consumer health, maintain product quality, and comply with relevant laws and regulations, thereby improving market competitiveness and promoting the sustainable development of agriculture.

[0003] In the agricultural product processing industry, when the order volume exceeds the processing capacity, companies usually adopt a saturation processing strategy, that is, speeding up the processing speed of the production line and adding more staff. However, this approach often ignores the potential impact of increasing the processing speed on related manufacturing processes, resulting in reduced product quality and lower pass rate, ultimately increasing the company's manufacturing costs. Summary of the invention

[0004] In order to solve the above technical problems, a method and system for analyzing and predicting the quality of processed agricultural products involving cross-integration of multiple factors are provided. This technical solution solves the above-mentioned problem that in the agricultural product processing industry, when the order volume exceeds the processing capacity, enterprises usually adopt a saturation processing strategy, that is, speed up the processing speed of the production line and increase manpower. However, this approach often ignores the potential impact of increasing the processing speed on related manufacturing processes, resulting in a decline in product quality and a decrease in the pass rate, which ultimately increases the manufacturing cost of the enterprise.

[0005] In order to achieve the above purpose, the technical solution adopted by the present invention is:

[0006] A multi-factor cross-integration method for analyzing and predicting the quality of processed agricultural products, including:

[0007] Obtain the agricultural product processing and manufacturing process parameters of the current production line, and calculate the basic processing capacity of the production line based on the agricultural product processing and manufacturing process parameters;

[0008] Based on the total number of agricultural products to be processed in future agricultural product orders, the processing time required for current agricultural product orders is evaluated, and the order processing demand is calculated based on the processing time required for agricultural product orders;

[0009] Based on the processing demand of agricultural product orders and the basic processing capacity of the production line, select the orders whose processing demand of agricultural product is greater than the basic processing capacity of the production line and record them as over-limit orders;

[0010] Determine the overrun processing requirements required in overrun orders;

[0011] Adjust the manufacturing process strategy based on the over-limit processing demand and obtain the manufacturing quality change trend parameters;

[0012] Adjust the production line processing strategy based on the parameters of manufacturing quality change trends.

[0013] Preferably, obtaining the agricultural product processing and manufacturing process parameters of the current production line, and calculating the basic processing capacity of the production line based on the agricultural product processing and manufacturing process parameters specifically includes:

[0014] Determine the processing time and takt time in the manufacturing process;

[0015] Determine the processing efficiency correction parameters based on the processing cycle in the manufacturing process;

[0016] Determine processing temperature and processing time in the manufacturing process;

[0017] Determine the processing production quality correction parameters based on the processing output rate in the manufacturing process;

[0018] Based on the processing time, cycle time, production efficiency correction parameters, processing temperature, processing time, and production quality correction parameters in the manufacturing process, the basic processing capability of the production line is evaluated through the basic processing capability model of the production line;

[0019] Among them, the basic processing capacity model of the production line is specifically as follows:

[0020] Cp=ε1(α1×X+α2×Y)+ε2(α3×Z+α4×V)+α5

[0021] Where Cp is the basic processing capacity of the production line, X is the processing time in the manufacturing process, Y is the processing cycle time in the manufacturing process, Z is the processing temperature in the manufacturing process, V is the processing time in the manufacturing process, ε1 is the processing efficiency correction parameter, ε2 is the processing quality correction parameter, α1, α2, α3, α4, and α5 are the coefficients of the model.

[0022] Preferably, based on the processing demand of agricultural product orders and the basic processing capacity of the production line, orders whose processing demand of agricultural product is greater than the basic processing capacity of the production line are screened out and recorded as over-limit orders. Specifically, they include:

[0023] Obtain the processing cycle time limit of agricultural product orders and the total amount of agricultural products to be processed in agricultural product orders;

[0024] Determine the average processing capacity required for current orders based on the processing cycle time of agricultural product orders and the total amount of agricultural products to be processed;

[0025] Calculate the processing requirements for current agricultural product orders based on the average processing capacity required for current orders and the processing cycle time limit for agricultural product orders;

[0026] Based on the processing requirements of the current agricultural product orders, determine whether the basic processing capacity of the production line can meet the processing requirements of the current agricultural product orders. If so, normal production will be carried out; if not, it will be marked as an over-limit order.

[0027] Preferably, determining the over-limit processing requirements required in the over-limit order specifically includes:

[0028] Based on the over-limit orders, determine the over-limit quantity of agricultural products to be processed in the over-limit orders and calculate the over-limit processing time;

[0029] Calculate the over-limit basic processing capacity requirements based on the over-limit processing time and the basic processing capacity of the production line;

[0030] The over-limit basic processing capacity requirement is accumulated with the basic processing capacity of the production line to obtain the over-limit order processing requirement;

[0031] Among them, the specific requirements for processing over-limit orders are:

[0032] S=Cp 超 +Cp

[0033] Where S is the excess order processing demand, Cp 超 is the over-limit processing capacity, and Cp is the basic processing capacity of the production line.

[0034] Preferably, adjusting the manufacturing process strategy based on the over-limit processing demand to obtain the manufacturing quality change trend parameters specifically includes:

[0035] Obtain the upper limit of process speed for each manufacturing process;

[0036] Based on the upper limit of the manufacturing process speed, determine the temperature change correlation coefficient under the influence of each manufacturing process speed change, and calculate the temperature change parameters under the influence of the temperature change correlation coefficient;

[0037] Based on the upper limit of the manufacturing process speed, determine the quality change correlation coefficient under the influence of each manufacturing process speed change, and calculate the quality change parameters under the influence of the quality change correlation coefficient;

[0038] Based on the upper limit of the manufacturing process speed, determine the production efficiency correlation coefficient under the influence of each manufacturing process speed change, and calculate the production efficiency change parameters under the influence of the production efficiency correlation coefficient;

[0039] Based on the correlation coefficient of manufacturing process change trends, a manufacturing process change management model is constructed;

[0040] Establishing manufacturing process constraints;

[0041] Based on the constraints of the manufacturing process, a manufacturing process change management model is obtained to improve the temperature change parameters at each manufacturing process speed; to improve the quality change parameters at each manufacturing process speed; to improve the production efficiency change parameters at each manufacturing process speed as a manufacturing process adjustment plan;

[0042] Among them, the expression of the manufacturing process change management model is:

[0043]

[0044] Among them, Q is the temperature change parameter under the influence of the temperature change coefficient, M is the mass change parameter under the influence of the mass change correlation coefficient, F is the production efficiency change parameter under the influence of the production efficiency correlation coefficient, β1, β2, β3 are the temperature change coefficient, the mass change correlation coefficient and the production efficiency correlation coefficient respectively, and ΔV is the change speed of the manufacturing process.

[0045] Furthermore, a system for analyzing and predicting the quality of processed agricultural products based on the above-mentioned cross-integration of multiple factors is proposed, which is used to implement the above-mentioned method for analyzing and predicting the quality of processed agricultural products based on the above-mentioned cross-integration of multiple factors, including:

[0046] A basic processing capacity calculation module, which is used to obtain the agricultural product processing and manufacturing process parameters of the current production line, and calculate the basic processing capacity of the production line based on the agricultural product processing and manufacturing process parameters;

[0047] An order processing demand calculation module, which is used to evaluate the processing time required for current agricultural product orders based on the total number of agricultural products to be processed in future agricultural product orders, and calculate the order processing demand based on the processing time required for the agricultural product orders;

[0048] A screening module, the screening module is electrically connected to the basic processing capacity calculation module and the order processing demand calculation module, and the screening module is used to screen out orders whose agricultural product processing demand is greater than the basic processing capacity of the production line based on the agricultural product order processing demand and the basic processing capacity of the production line, and record them as over-limit orders;

[0049] An over-limit processing requirement confirmation module, which is connected to the screening module by telecommunication, and is used to determine the over-limit processing requirement required in the over-limit order;

[0050] A manufacturing process management module, the manufacturing process management module is electrically connected to the over-limit processing demand confirmation module, and the manufacturing process management module is used to adjust the processing and manufacturing process strategy based on the over-limit processing demand and obtain the processing and manufacturing quality change trend parameter;

[0051] The planning module is electrically connected to the manufacturing process management module, and the planning module is used to adjust the production line processing strategy based on the processing quality change trend parameters.

[0052] Optionally, the screening module internally includes:

[0053] An order information acquisition unit, which acquires the processing cycle time limit of the agricultural product order and the total amount of agricultural product to be processed in the agricultural product order;

[0054] The average processing capacity confirmation unit determines the average processing capacity required for the current order based on the processing cycle time of the agricultural product order and the total amount of agricultural products to be processed;

[0055] A processing demand confirmation unit calculates the processing demand required for the current agricultural product order based on the average processing capacity required for the current order and the processing cycle time limit of the agricultural product order;

[0056] The judgment unit judges whether the basic processing capacity of the production line meets the processing requirements of the current agricultural product order based on the processing requirements of the current agricultural product order. If so, normal production is carried out; if not, it is marked as an over-limit order.

[0057] Optionally, the overrun processing requirement confirmation module includes:

[0058] The over-limit processing time confirmation unit determines the over-limit agricultural product quantity to be processed in the over-limit order based on the over-limit order and calculates the over-limit processing time;

[0059] The over-limit basic processing capacity demand unit calculates the over-limit basic processing capacity demand based on the over-limit processing time and the basic processing capacity of the production line;

[0060] The demand calculation unit accumulates the over-limit basic processing capacity demand and the basic processing capacity of the production line to obtain the over-limit order processing demand.

[0061] Optionally, the manufacturing process management module includes:

[0062] A speed upper limit confirmation unit obtains the process speed upper limit of each manufacturing process;

[0063] The temperature change correlation coefficient unit determines the temperature change correlation coefficient under the influence of each manufacturing process speed change based on the upper limit of the manufacturing process speed, and calculates the temperature change parameters under the influence of the temperature change correlation coefficient;

[0064] The quality change correlation coefficient unit determines the quality change correlation coefficient under the influence of each manufacturing process speed change based on the upper limit of the manufacturing process speed, and calculates the quality change parameters under the influence of the quality change correlation coefficient;

[0065] The production efficiency correlation coefficient unit determines the production efficiency correlation coefficient under the influence of each manufacturing process speed change based on the upper limit of the manufacturing process speed, and calculates the production efficiency change parameters under the influence of the production efficiency correlation coefficient;

[0066] Model unit, based on the correlation coefficient of manufacturing process change, builds a manufacturing process change management model;

[0067] Conditional unit, to establish processing and manufacturing process constraints;

[0068] The manufacturing process adjustment unit obtains the manufacturing process change management model based on the manufacturing process constraints to improve the temperature change parameters at each manufacturing process speed; to improve the quality change parameters at each manufacturing process speed; to improve the production efficiency change parameters at each manufacturing process speed as a manufacturing process adjustment plan.

[0069] Compared with the prior art, the present invention has the following beneficial effects:

[0070] The present invention proposes a multi-factor cross-integration processing agricultural product quality analysis and prediction scheme, which collects various parameters of the current production line in the agricultural product processing and manufacturing process, and uses these data to calculate the basic processing capacity of the production line. Then, the processing requirements required for future orders are predicted based on the basic processing capacity of the local production line. Subsequently, those orders that cannot be met by the basic processing capacity of the production line are screened out, and the processing and manufacturing process strategy is adjusted according to the change trend function of the processing and manufacturing process. In this way, the production efficiency and product quality of the production line can be improved, while reducing the production cost of the enterprise and preventing order delays. BRIEF DESCRIPTION OF THE DRAWINGS

[0071] Figure 1 It is a flow chart of a method for analyzing and predicting the quality of processed agricultural products by cross-integration of multiple factors of the present invention;

[0072] Figure 2 It is a flow chart of the method for calculating the basic processing capacity of a production line of the present invention;

[0073] Figure 3 A flow chart of a method for screening out excess orders of the present invention;

[0074] Figure 4 A flow chart of a method for determining over-limit processing requirements required for an over-limit order of the present invention;

[0075] Figure 5 The present invention is a flow chart of the method for obtaining a manufacturing process change trend function. DETAILED DESCRIPTION

[0076] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0077] Reference Figure 1 Please refer to Figure 1 As shown, a multi-factor cross-integration method for analyzing and predicting the quality of processed agricultural products includes:

[0078] Obtain the agricultural product processing and manufacturing process parameters of the current production line, and calculate the basic processing capacity of the production line based on the agricultural product processing and manufacturing process parameters;

[0079] Based on the total number of agricultural products to be processed in future agricultural product orders, the processing time required for current agricultural product orders is evaluated, and the order processing demand is calculated based on the processing time required for agricultural product orders;

[0080] Based on the processing demand of agricultural product orders and the basic processing capacity of the production line, select the orders whose processing demand of agricultural product is greater than the basic processing capacity of the production line and record them as over-limit orders;

[0081] Determine the overrun processing requirements required in overrun orders;

[0082] Adjust the manufacturing process strategy based on the over-limit processing demand and obtain the manufacturing quality change trend parameters;

[0083] Adjust the production line processing strategy based on the parameters of manufacturing quality change trends.

[0084] This solution collects various parameters of the current production line in the agricultural product processing and manufacturing process, and uses this data to calculate the basic processing capacity of the production line. According to the basic processing capacity of the local production line, the processing requirements for future orders are evaluated. Then, those orders that cannot be met by the basic processing capacity of the production line are screened out, and the processing and manufacturing process strategy is adjusted according to the trend function of the processing and manufacturing process. This is done to improve the production efficiency and product quality of the production line, while reducing the production costs of the enterprise, ensuring that orders can be completed on time and avoiding delays.

[0085] Please refer to Figure 2 As shown, the agricultural product processing and manufacturing process parameters of the current production line are obtained, and the basic processing capacity of the production line is calculated based on the agricultural product processing and manufacturing process parameters, specifically including:

[0086] Determine the processing time and takt time in the manufacturing process;

[0087] Determine the processing efficiency correction parameters based on the processing cycle in the manufacturing process;

[0088] Determine processing temperature and processing time in the manufacturing process;

[0089] Determine the processing production quality correction parameters based on the processing output rate in the manufacturing process;

[0090] Based on the processing time, cycle time, production efficiency correction parameters, processing temperature, processing time, and production quality correction parameters in the manufacturing process, the basic processing capability of the production line is evaluated through the basic processing capability model of the production line;

[0091] Among them, the basic processing capacity model of the production line is specifically as follows:

[0092] Cp=ε1(α1×X+α2×Y)+ε2(α3×Z+α4×V)+α5

[0093] Where Cp is the basic processing capacity of the production line, X is the processing time in the manufacturing process, Y is the processing cycle time in the manufacturing process, Z is the processing temperature in the manufacturing process, V is the processing time in the manufacturing process, ε1 is the processing efficiency correction parameter, ε2 is the processing quality correction parameter, α1, α2, α3, α4, and α5 are the coefficients of the model.

[0094] By collecting key manufacturing parameters and their correction values ​​in the production line manufacturing process, we have built a basic production line processing capability indicator model. This model can generate basic production capacity indicators for the production line, which can directly reflect the production capacity speed of the production line. They can be used as key basic data to evaluate whether the future order processing needs can be met.

[0095] Please refer to Figure 3 As shown in the figure, based on the processing demand of agricultural product orders and the basic processing capacity of the production line, the orders whose processing demand of agricultural product is greater than the basic processing capacity of the production line are screened out and recorded as over-limit orders. Specifically, they include:

[0096] Obtain the processing cycle time limit of agricultural product orders and the total amount of agricultural products to be processed in agricultural product orders;

[0097] Determine the average processing capacity required for current orders based on the processing cycle time of agricultural product orders and the total amount of agricultural products to be processed;

[0098] Calculate the processing requirements for current agricultural product orders based on the average processing capacity required for current orders and the processing cycle time limit for agricultural product orders;

[0099] Based on the processing requirements of the current agricultural product orders, determine whether the basic processing capacity of the production line can meet the processing requirements of the current agricultural product orders. If so, normal production will be carried out; if not, it will be marked as an over-limit order.

[0100] Please refer to Figure 4 As shown in the figure, the over-limit processing requirements required for determining the over-limit order specifically include:

[0101] Based on the over-limit orders, determine the over-limit quantity of agricultural products to be processed in the over-limit orders and calculate the over-limit processing time;

[0102] Calculate the over-limit basic processing capacity requirements based on the over-limit processing time and the basic processing capacity of the production line;

[0103] The over-limit basic processing capacity requirement is accumulated with the basic processing capacity of the production line to obtain the over-limit order processing requirement;

[0104] Among them, the specific requirements for processing over-limit orders are:

[0105] S=Cp 超 +Cp

[0106] Where S is the excess order processing demand, Cp 超 is the over-limit processing capacity, and Cp is the basic processing capacity of the production line.

[0107] Overrun quantities are the number of ordered products that exceed the standard processing capacity of the production line. By multiplying these overrun quantities with the processing time of each product, the overrun processing time, or the extra processing time required, can be calculated. Based on this extra processing time and the baseline processing capacity of the production line, the additional processing capacity required to meet the overrun quantity can be determined. Finally, the basic processing capacity to meet the order and the overrun processing capacity are added together to get the total processing requirements required to complete the overrun order.

[0108] Please refer to Figure 5 As shown in the figure, the processing and manufacturing process strategy is adjusted based on the over-limit processing demand, and the processing and manufacturing quality change trend parameters are obtained, including:

[0109] Obtain the upper limit of process speed for each manufacturing process;

[0110] Based on the upper limit of the manufacturing process speed, determine the temperature change correlation coefficient under the influence of each manufacturing process speed change, and calculate the temperature change parameters under the influence of the temperature change correlation coefficient;

[0111] Based on the upper limit of the manufacturing process speed, determine the quality change correlation coefficient under the influence of each manufacturing process speed change, and calculate the quality change parameters under the influence of the quality change correlation coefficient;

[0112] Based on the upper limit of the manufacturing process speed, determine the production efficiency correlation coefficient under the influence of each manufacturing process speed change, and calculate the production efficiency change parameters under the influence of the production efficiency correlation coefficient;

[0113] Based on the correlation coefficient of manufacturing process change trends, a manufacturing process change management model is constructed;

[0114] Establishing manufacturing process constraints;

[0115] Based on the constraints of the manufacturing process, a manufacturing process change management model is obtained to improve the temperature change parameters at each manufacturing process speed; to improve the quality change parameters at each manufacturing process speed; to improve the production efficiency change parameters at each manufacturing process speed as a manufacturing process adjustment plan;

[0116] Among them, the expression of the manufacturing process change management model is:

[0117]

[0118] Among them, Q is the temperature change parameter under the influence of the temperature change coefficient, M is the mass change parameter under the influence of the mass change correlation coefficient, F is the production efficiency change parameter under the influence of the production efficiency correlation coefficient, β1, β2, β3 are the temperature change coefficient, the mass change correlation coefficient and the production efficiency correlation coefficient respectively, and ΔV is the change speed of the manufacturing process.

[0119] The upper limit of the manufacturing process speed refers to the maximum production efficiency that the manufacturing process can achieve under the existing equipment, materials and human resources. When adjusting the manufacturing process speed, the correlation coefficients of temperature change, quality change and production efficiency must be considered. By integrating the upper limit of the manufacturing process speed, the correlation coefficient of temperature change, the correlation coefficient of quality change and the correlation coefficient of production efficiency into the model, the impact and trend of process changes can be evaluated. Based on the constraints of the processing and manufacturing process, a processing and manufacturing process change management model is constructed to improve the temperature change at each manufacturing process speed to meet the manufacturing process requirements; improve the quality change at each manufacturing process speed to reach the yield rate threshold; and enhance the production efficiency at each manufacturing process speed to meet the order requirements. This can more effectively control changes in the manufacturing process, improve product quality and production efficiency, and formulate corresponding adjustment plans accordingly.

[0120] Further, based on the same inventive concept as the above-mentioned method for analyzing and predicting the quality of processed agricultural products based on the cross-integration of multiple factors, this solution proposes a system for analyzing and predicting the quality of processed agricultural products based on the cross-integration of multiple factors, comprising:

[0121] A basic processing capacity calculation module, which is used to obtain the agricultural product processing and manufacturing process parameters of the current production line, and calculate the basic processing capacity of the production line based on the agricultural product processing and manufacturing process parameters;

[0122] An order processing demand calculation module, which is used to evaluate the processing time required for current agricultural product orders based on the total number of agricultural products to be processed in future agricultural product orders, and calculate the order processing demand based on the processing time required for the agricultural product orders;

[0123] A screening module, the screening module is electrically connected to the basic processing capacity calculation module and the order processing demand calculation module, and the screening module is used to screen out orders whose agricultural product processing demand is greater than the basic processing capacity of the production line based on the agricultural product order processing demand and the basic processing capacity of the production line, and record them as over-limit orders;

[0124] An over-limit processing requirement confirmation module, which is connected to the screening module by telecommunication, and is used to determine the over-limit processing requirement required in the over-limit order;

[0125] A manufacturing process management module, the manufacturing process management module is electrically connected to the over-limit processing demand confirmation module, and the manufacturing process management module is used to adjust the processing and manufacturing process strategy based on the over-limit processing demand and obtain the processing and manufacturing quality change trend parameter;

[0126] The planning module is electrically connected to the manufacturing process management module, and the planning module is used to adjust the production line processing strategy based on the processing quality change trend parameters.

[0127] The screening module includes:

[0128] An order information acquisition unit, which acquires the processing cycle time limit of the agricultural product order and the total amount of agricultural product to be processed in the agricultural product order;

[0129] The average processing capacity confirmation unit determines the average processing capacity required for the current order based on the processing cycle time of the agricultural product order and the total amount of agricultural products to be processed;

[0130] A processing demand confirmation unit calculates the processing demand required for the current agricultural product order based on the average processing capacity required for the current order and the processing cycle time limit of the agricultural product order;

[0131] The judgment unit judges whether the basic processing capacity of the production line meets the processing requirements of the current agricultural product order based on the processing requirements of the current agricultural product order. If so, normal production is carried out; if not, it is marked as an over-limit order.

[0132] The over-limit processing requirement confirmation module includes:

[0133] The over-limit processing time confirmation unit determines the over-limit agricultural product quantity to be processed in the over-limit order based on the over-limit order and calculates the over-limit processing time;

[0134] The over-limit basic processing capacity demand unit calculates the over-limit basic processing capacity demand based on the over-limit processing time and the basic processing capacity of the production line;

[0135] The demand calculation unit accumulates the over-limit basic processing capacity demand and the basic processing capacity of the production line to obtain the over-limit order processing demand.

[0136] The manufacturing process management module includes:

[0137] A speed upper limit confirmation unit obtains the process speed upper limit of each manufacturing process;

[0138] The temperature change correlation coefficient unit determines the temperature change correlation coefficient under the influence of each manufacturing process speed change based on the upper limit of the manufacturing process speed, and calculates the temperature change parameters under the influence of the temperature change correlation coefficient;

[0139] The quality change correlation coefficient unit determines the quality change correlation coefficient under the influence of each manufacturing process speed change based on the upper limit of the manufacturing process speed, and calculates the quality change parameters under the influence of the quality change correlation coefficient;

[0140] The production efficiency correlation coefficient unit determines the production efficiency correlation coefficient under the influence of each manufacturing process speed change based on the upper limit of the manufacturing process speed, and calculates the production efficiency change parameters under the influence of the production efficiency correlation coefficient;

[0141] Model unit, based on the correlation coefficient of manufacturing process change, builds a manufacturing process change management model;

[0142] Conditional unit, to establish processing and manufacturing process constraints;

[0143] The manufacturing process adjustment unit obtains the manufacturing process change management model based on the manufacturing process constraints to improve the temperature change parameters at each manufacturing process speed; to improve the quality change parameters at each manufacturing process speed; to improve the production efficiency change parameters at each manufacturing process speed as a manufacturing process adjustment plan.

[0144] The specific use process of the above-mentioned processed agricultural product quality analysis and prediction system based on multi-factor cross-fusion is as follows:

[0145] Step 1: Obtain the agricultural product processing and manufacturing process parameters of the current production line, and calculate the basic processing capacity of the production line based on the agricultural product processing and manufacturing process parameters;

[0146] Step 2: Based on the total number of agricultural products to be processed in future agricultural product orders, evaluate the processing time required for current agricultural product orders, and calculate the order processing demand based on the processing time required for agricultural product orders;

[0147] Step 3: Obtain the processing cycle time limit of the agricultural product order and the total amount of agricultural products to be processed in the agricultural product order;

[0148] Step 4: Determine the average processing capacity required for the current order based on the processing cycle time of the agricultural product order and the total amount of agricultural products to be processed;

[0149] Step 5: Calculate the processing requirements for the current agricultural product orders based on the average processing capacity required for the current orders and the processing cycle time limit for the agricultural product orders;

[0150] Step 6: Based on the processing requirements of the current agricultural product order, determine whether the basic processing capacity of the production line meets the processing requirements of the current agricultural product order. If so, normal production will be carried out; if not, it will be marked as an over-limit order;

[0151] Step 7: Based on the over-limit orders, determine the over-limit quantity of agricultural products to be processed in the over-limit orders and calculate the over-limit processing time;

[0152] Step 8: Calculate the over-limit basic processing capacity requirement based on the over-limit processing time and the basic processing capacity of the production line;

[0153] Step 9: Add the over-limit basic processing capacity requirement and the production line basic processing capacity to obtain the over-limit order processing requirement;

[0154] Step 10: Obtain the upper limit of the process speed of each manufacturing process;

[0155] Step 11: Based on the upper limit of the manufacturing process speed, determine the temperature change correlation coefficient under the influence of each manufacturing process speed change, and calculate the temperature change parameters under the influence of the temperature change correlation coefficient;

[0156] Step 12: Based on the upper limit of the manufacturing process speed, determine the quality change correlation coefficient under the influence of each manufacturing process speed change, and calculate the quality change parameters under the influence of the quality change correlation coefficient;

[0157] Step 13: Based on the upper limit of the manufacturing process speed, determine the production efficiency correlation coefficient under the influence of the speed change of each manufacturing process, and calculate the production efficiency change parameter under the influence of the production efficiency correlation coefficient;

[0158] Step 14: Based on the correlation coefficient of the manufacturing process, a manufacturing process change management model is constructed;

[0159] Step 15: Establish processing and manufacturing process constraints;

[0160] Step 16: Adjust the basic processing capacity of the production line based on the manufacturing process change management model;

[0161] Step 17: The manufacturing process adjustment unit obtains a manufacturing process change management model based on the manufacturing process restriction conditions to improve the temperature change parameters at each manufacturing process speed; to improve the quality change parameters at each manufacturing process speed; to improve the production efficiency change parameters at each manufacturing process speed as a manufacturing process adjustment plan;

[0162] Step 18: Adjust the production line processing strategy based on the processing and manufacturing quality change trend parameters.

[0163] Furthermore, the present invention also provides a computer-readable storage medium having a computer-readable program stored thereon, and when the computer-readable program is called, the above-mentioned multi-factor cross-fusion processed agricultural product quality analysis and prediction method is executed;

[0164] It is understandable that the computer-readable storage medium may be a magnetic medium, such as a floppy disk, a hard disk, or a magnetic tape; an optical medium, such as a DVD; or a semiconductor medium, such as a solid state disk (SSD).

[0165] To sum up, the advantages of the present invention are: this scheme obtains the agricultural product processing and manufacturing process parameters of the current production line, and calculates the basic processing capacity of the production line based on these parameters, judges the processing requirements required for future orders based on the basic processing capacity of the local production line, and screens out orders whose basic processing capacity of the production line cannot meet the order requirements according to the processing requirements, and adjusts the processing and manufacturing process strategy according to the trend function of the processing and manufacturing process changes, thereby improving the production efficiency and production quality of the production line, reducing the production cost of the enterprise, and avoiding order timeouts.

[0166] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. A method for analyzing and predicting the quality of processed agricultural products by cross-integration of multiple factors, characterized in that: include: Obtain the agricultural product processing and manufacturing process parameters of the current production line, and calculate the basic processing capacity of the production line based on the agricultural product processing and manufacturing process parameters; Based on the total number of agricultural products to be processed in future agricultural product orders, the processing time required for current agricultural product orders is evaluated, and the order processing demand is calculated based on the processing time required for agricultural product orders; Based on the processing demand of agricultural product orders and the basic processing capacity of the production line, select the orders whose processing demand of agricultural product is greater than the basic processing capacity of the production line and record them as over-limit orders; Determine the overrun processing requirements required in overrun orders; Adjust the manufacturing process strategy based on the over-limit processing demand and obtain the manufacturing quality change trend parameters; Adjust the production line processing strategy based on the parameters of manufacturing quality change trends.

2. The method for analyzing and predicting the quality of processed agricultural products by cross-integration of multiple factors according to claim 1 is characterized in that: The obtaining of the agricultural product processing and manufacturing process parameters of the current production line and the calculation of the basic processing capacity of the production line based on the agricultural product processing and manufacturing process parameters specifically include: Determine the processing time and takt time in the manufacturing process; Determine the processing efficiency correction parameters based on the processing cycle in the manufacturing process; Determine processing temperature and processing time in the manufacturing process; Determine the processing production quality correction parameters based on the processing output rate in the manufacturing process; Based on the processing time, cycle time, production efficiency correction parameters, processing temperature, processing time, and production quality correction parameters in the manufacturing process, the basic processing capability of the production line is evaluated through the basic processing capability model of the production line; Among them, the basic processing capacity model of the production line is specifically as follows: Cp=ε1(α1×X+α2×Y)+ε2(α3×Z+α4×V)+α5 Where Cp is the basic processing capacity of the production line, X is the processing time in the manufacturing process, Y is the processing cycle time in the manufacturing process, Z is the processing temperature in the manufacturing process, V is the processing time in the manufacturing process, ε1 is the processing efficiency correction parameter, ε2 is the processing quality correction parameter, α1, α2, α3, α4, and α5 are the coefficients of the model.

3. The method for analyzing and predicting the quality of processed agricultural products by cross-integration of multiple factors according to claim 2 is characterized in that: Based on the processing demand of agricultural product orders and the basic processing capacity of the production line, the orders whose processing demand of agricultural product is greater than the basic processing capacity of the production line are screened out and recorded as over-limit orders, which specifically include: Obtain the processing cycle time limit of agricultural product orders and the total amount of agricultural products to be processed in agricultural product orders; Determine the average processing capacity required for current orders based on the processing cycle time of agricultural product orders and the total amount of agricultural products to be processed; Calculate the processing requirements for current agricultural product orders based on the average processing capacity required for current orders and the processing cycle time limit for agricultural product orders; Based on the processing requirements of the current agricultural product orders, determine whether the basic processing capacity of the production line can meet the processing requirements of the current agricultural product orders. If so, normal production will be carried out; if not, it will be marked as an over-limit order.

4. The method for analyzing and predicting the quality of processed agricultural products by cross-integration of multiple factors according to claim 3 is characterized in that: The over-limit processing requirements required for determining the over-limit order specifically include: Based on the over-limit orders, determine the over-limit quantity of agricultural products to be processed in the over-limit orders and calculate the over-limit processing time; Calculate the over-limit basic processing capacity requirements based on the over-limit processing time and the basic processing capacity of the production line; The over-limit basic processing capacity requirement is accumulated with the basic processing capacity of the production line to obtain the over-limit order processing requirement; Among them, the specific requirements for processing over-limit orders are: S=Cp 超 +Cp Where S is the excess order processing demand, Cp 超 is the over-limit processing capacity, and Cp is the basic processing capacity of the production line.

5. The method for analyzing and predicting the quality of processed agricultural products by cross-integration of multiple factors according to claim 4 is characterized in that: The strategy of adjusting the manufacturing process based on the over-limit processing demand to obtain the manufacturing quality change trend parameter specifically includes: Obtain the upper limit of process speed for each manufacturing process; Based on the upper limit of the manufacturing process speed, determine the temperature change correlation coefficient under the influence of each manufacturing process speed change, and calculate the temperature change parameters under the influence of the temperature change correlation coefficient; Based on the upper limit of the manufacturing process speed, determine the quality change correlation coefficient under the influence of each manufacturing process speed change, and calculate the quality change parameters under the influence of the quality change correlation coefficient; Based on the upper limit of the manufacturing process speed, determine the production efficiency correlation coefficient under the influence of each manufacturing process speed change, and calculate the production efficiency change parameters under the influence of the production efficiency correlation coefficient; Based on the correlation coefficient of manufacturing process change trends, a manufacturing process change management model is constructed; Establishing manufacturing process constraints; Based on the constraints of the manufacturing process, a manufacturing process change management model is obtained to improve the temperature change parameters at each manufacturing process speed; to improve the quality change parameters at each manufacturing process speed; to improve the production efficiency change parameters at each manufacturing process speed as a manufacturing process adjustment plan; Among them, the expression of the manufacturing process change management model is: Among them, Q is the temperature change parameter under the influence of the temperature change coefficient, M is the mass change parameter under the influence of the mass change correlation coefficient, F is the production efficiency change parameter under the influence of the production efficiency correlation coefficient, β1, β2, β3 are the temperature change coefficient, the mass change correlation coefficient and the production efficiency correlation coefficient respectively, and ΔV is the change speed of the manufacturing process.

6. A quality analysis and prediction system for processed agricultural products based on multi-factor cross-fusion, characterized in that: A method for analyzing and predicting the quality of processed agricultural products based on cross-integration of the above-mentioned multiple factors as described in any one of claims 1 to 5, comprising: A basic processing capacity calculation module, which is used to obtain the agricultural product processing and manufacturing process parameters of the current production line, and calculate the basic processing capacity of the production line based on the agricultural product processing and manufacturing process parameters; An order processing demand calculation module, which is used to evaluate the processing time required for current agricultural product orders based on the total number of agricultural products to be processed in future agricultural product orders, and calculate the order processing demand based on the processing time required for the agricultural product orders; A screening module, the screening module is electrically connected to the basic processing capacity calculation module and the order processing demand calculation module, and the screening module is used to screen out orders whose agricultural product processing demand is greater than the basic processing capacity of the production line based on the agricultural product order processing demand and the basic processing capacity of the production line, and record them as over-limit orders; An over-limit processing requirement confirmation module, which is connected to the screening module by telecommunication, and is used to determine the over-limit processing requirement required in the over-limit order; A manufacturing process management module, the manufacturing process management module is electrically connected to the over-limit processing demand confirmation module, and the manufacturing process management module is used to adjust the processing and manufacturing process strategy based on the over-limit processing demand and obtain the processing and manufacturing quality change trend parameter; The planning module is electrically connected to the manufacturing process management module, and the planning module is used to adjust the production line processing strategy based on the processing quality change trend parameters.

7. The multi-factor cross-integration processed agricultural product quality analysis and prediction system according to claim 6 is characterized in that: The screening module includes: An order information acquisition unit, which acquires the processing cycle time limit of the agricultural product order and the total amount of agricultural product to be processed in the agricultural product order; The average processing capacity confirmation unit determines the average processing capacity required for the current order based on the processing cycle time of the agricultural product order and the total amount of agricultural products to be processed; A processing demand confirmation unit calculates the processing demand required for the current agricultural product order based on the average processing capacity required for the current order and the processing cycle time limit of the agricultural product order; The judgment unit judges whether the basic processing capacity of the production line meets the processing requirements of the current agricultural product order based on the processing requirements of the current agricultural product order. If so, normal production is carried out; if not, it is marked as an over-limit order.

8. The multi-factor cross-integration processed agricultural product quality analysis and prediction system according to claim 6 is characterized in that: The over-limit processing requirement confirmation module includes: The over-limit processing time confirmation unit determines the over-limit agricultural product quantity to be processed in the over-limit order based on the over-limit order and calculates the over-limit processing time; The over-limit basic processing capacity demand unit calculates the over-limit basic processing capacity demand based on the over-limit processing time and the basic processing capacity of the production line; The demand calculation unit accumulates the over-limit basic processing capacity demand and the basic processing capacity of the production line to obtain the over-limit order processing demand.

9. The multi-factor cross-integration processed agricultural product quality analysis and prediction system according to claim 6 is characterized in that: The manufacturing process management module includes: A speed upper limit confirmation unit obtains the process speed upper limit of each manufacturing process; The temperature change correlation coefficient unit determines the temperature change correlation coefficient under the influence of each manufacturing process speed change based on the upper limit of the manufacturing process speed, and calculates the temperature change parameters under the influence of the temperature change correlation coefficient; The quality change correlation coefficient unit determines the quality change correlation coefficient under the influence of each manufacturing process speed change based on the upper limit of the manufacturing process speed, and calculates the quality change parameters under the influence of the quality change correlation coefficient; The production efficiency correlation coefficient unit determines the production efficiency correlation coefficient under the influence of each manufacturing process speed change based on the upper limit of the manufacturing process speed, and calculates the production efficiency change parameters under the influence of the production efficiency correlation coefficient; Model unit, based on the correlation coefficient of manufacturing process change, builds a manufacturing process change management model; Conditional unit, to establish processing and manufacturing process constraints; The manufacturing process adjustment unit obtains the manufacturing process change management model based on the manufacturing process constraints to improve the temperature change parameters at each manufacturing process speed; to improve the quality change parameters at each manufacturing process speed; to improve the production efficiency change parameters at each manufacturing process speed as a manufacturing process adjustment plan.

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