A quality control management system and method for agricultural product production process

Abstract

The present invention discloses a quality control management system and method for agricultural product production process, which belongs to the technical field of agricultural product production, and includes: a drying temperature setting module, which sets the initial drying temperature for each time period of the drying process according to the historical data of drying; a data monitoring and acquisition module, which obtains the associated information of the product during the drying process; a data processing and analysis module, which performs analysis and processing according to the acquired associated information, thereby generating an evaluation value, and judges whether the drying temperature is reasonable according to the evaluation value, and generates a temperature adjustment instruction when it is judged to be unreasonable; an adjustment module, which adjusts the drying temperature accordingly according to the generated temperature adjustment instruction. The present invention can judge whether the drying temperature setting is reasonable according to the water content of the product and the shape change of the product during the drying process, and adjust the temperature in time when it is unreasonable, and can dynamically adjust the drying temperature during the drying process, thereby ensuring the production quality of the entire product.

Description

Technical Field

[0001] The invention belongs to the technical field of agricultural product production, and in particular relates to a quality control management system and method for an agricultural product production process. Background Art

[0002] Agricultural product production, also known as agricultural product processing, refers to a production activity that uses physical, chemical and biological methods to make agricultural main and by-products into various foods or other products. It is an important link for agricultural products to enter the consumption field from the production field. It mainly includes grain processing, feed processing, oil pressing, brewing, sugar making, tea making, flue-cured tobacco, fiber processing, and processing of fruits, vegetables, livestock products, aquatic products, etc. Agricultural product processing can reduce the volume and weight of agricultural products, facilitate transportation, make perishable agricultural products less perishable, ensure the quality and market supply; it can also make comprehensive use of agricultural products, increase value and increase farmers' income, so it has a wide range of applications.

[0003] Sweet potato chips are a kind of food processed from sweet potatoes. They have a long shelf life and are soft, sweet and fragrant, so they are loved by people. When making sweet potato chips, it is very important to control the drying temperature. During the drying process, too high or too low temperature will affect the processing quality, resulting in unqualified product quality. Summary of the invention

[0004] The purpose of the present invention is to provide a quality control management system and method for agricultural product production process, so as to solve the problems faced in the above-mentioned background technology.

[0005] The purpose of the present invention can be achieved through the following technical solutions: a quality control management system for agricultural product production process, the control management system comprising:

[0006] A drying temperature setting module, which sets an initial drying temperature for each time period of the drying process according to historical drying data;

[0007] A data monitoring and acquisition module, which is used to obtain relevant information of the product during the drying process;

[0008] A data processing and analysis module, which is used to analyze and process the acquired associated information to generate an evaluation value, and judge whether the drying temperature is reasonable according to the evaluation value, and generate a temperature adjustment instruction when it is judged to be unreasonable;

[0009] An adjustment module is used to adjust the drying temperature accordingly according to the generated temperature adjustment instruction.

[0010] Furthermore, the associated information includes water content information of the product, length information of the product, and volume information of the product.

[0011] Furthermore, the method for the data processing and analysis module to generate the temperature adjustment instruction is:

[0012] In each time period, each time period is divided into multiple monitoring intervals, and the moisture content of the product in each monitoring interval is obtained by infrared spectroscopy technology. , so as to draw up the curve of product moisture content changing with time ;

[0013] At the same time, the first image of the product is obtained at the beginning of the monitoring interval, and the second image of the product is obtained at the end of the monitoring interval. The first image and the second image are gray-scaled, and the edge recognition technology and threshold segmentation technology are used to obtain the contour information of the first image and the second image, and the contour is extracted to obtain the length of the product in the first image. ,volume Size, and the length of the product in the second image ,volume size; thus, through the formula Get the evaluation value of the monitoring interval ;

[0014] The evaluation value obtained The threshold range preset in the system To compare:

[0015] when When , a temperature adjustment instruction is generated;

[0016] Otherwise, no temperature adjustment instruction is generated;

[0017] in, is the start time of the monitoring interval, is the end time of the monitoring interval, The time-varying curve of the standard moisture content of the product set for the system. is the length change comparison value, is the volume change comparison value, as well as is the proportionality coefficient, as well as The evaluation threshold is set.

[0018] Furthermore, the temperature adjustment instruction includes an increase instruction and a decrease instruction:

[0019] when When , an ascending instruction is generated;

[0020] when , a decrease instruction is generated.

[0021] Furthermore, the method in which the adjustment module adjusts the drying temperature according to the generated temperature adjustment instruction is:

[0022] When the raising instruction is generated, the formula Adjust the temperature of the next monitoring interval to ;

[0023] When a reduction instruction is generated, the formula Adjust the temperature of the next monitoring interval to ;

[0024] in, Set the initial drying temperature for this time period. is the maximum temperature that the system allows to adjust, is the temperature conversion coefficient, as well as is the proportionality coefficient, is the average thickness of the product, is the humidity of the drying room, is the standard reference value for thickness, It is the standard reference value of humidity.

[0025] Furthermore, the control system also includes an evaluation module, which is used to perform quality evaluation on the entire production process according to the evaluation value status of each time period.

[0026] Furthermore, the working method of the evaluation module is:

[0027] Get the evaluation values ​​generated in each time period And the number of times the temperature adjustment instructions are generated in each time period ;

[0028] So through the formula Get the quality coefficient for each time period ;

[0029] Then through the formula Get the whole Quality assessment value of the program ;

[0030] The quality evaluation value obtained Compared with the quality assessment threshold preset in the system as well as To compare:

[0031] when When , the quality of the entire production process is considered to be poor;

[0032] when When the quality of the whole production process is considered to be average;

[0033] when When , the quality of the entire production process is considered to be good;

[0034] Where n is the number of monitoring intervals in the time period, and , is the evaluation value of the ith monitoring interval, is the number of time periods in the entire production process, and , is the quality coefficient of the jth time period, is the standard quality coefficient in the jth time period.

[0035] A method for quality control management of agricultural product production process, the method is implemented by a quality control management system for agricultural product production process, the method comprising:

[0036] Step 1: According to the product type and characteristics, set the initial drying temperature for each drying time period of the drying equipment according to historical drying data;

[0037] Step 2: Collect image information and related information such as moisture content of the product during the drying process, and upload them to the data processing and analysis module;

[0038] Step 3: Process and analyze the collected related information to generate an evaluation value, and judge whether the drying temperature is reasonable based on the evaluation value;

[0039] Step 4: When the drying temperature is unreasonable, generate a temperature adjustment instruction to adjust the drying temperature.

[0040] Beneficial effects of the present invention:

[0041] The present invention can judge whether the drying temperature setting is reasonable according to the water content of the product and the shape change of the product during the drying process, and adjust the temperature in time when it is unreasonable. The drying temperature can be dynamically adjusted during the drying process to ensure the production quality of the entire product.

[0042] The present invention can perform quality assessment on the entire production process according to the evaluation value status of each time period in the production process, so as to judge the quality of the entire production process. This can not only control the product quality, but also judge the condition of the drying equipment according to the production quality situation, and perform maintenance and repair to ensure the subsequent production quality.

[0043] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0045] Figure 1 is a system block diagram of the present invention;

[0046] Figure 2 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0047] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are within the scope of protection of the present invention.

[0048] In one embodiment, a quality control management system for agricultural product production process is disclosed, such as Figure 1 As shown, the control management system includes:

[0049] A drying temperature setting module, which sets the initial drying temperature for each time period of the drying process according to the historical drying data;

[0050] The data monitoring and acquisition module is used to obtain relevant information of the product during the drying process, including the moisture content information of the product, the length information of the product, and the volume information of the product;

[0051] The data processing and analysis module is used to analyze and process the acquired related information, thereby generating an evaluation value, and judging whether the drying temperature is reasonable according to the evaluation value, and generating a temperature adjustment instruction when the judgment is unreasonable;

[0052] The adjustment module adjusts the drying temperature accordingly according to the generated temperature adjustment instruction.

[0053] Through the above technical scheme, the present application first determines the drying time period and the initial drying temperature of each drying time period based on the historical drying data, and then collects the moisture content information, product length information and product volume information in real time during the drying process, so as to analyze and process them, generate an evaluation value, and judge whether the drying temperature is reasonable according to the evaluation value. If it is unreasonable, a temperature adjustment instruction is generated to adjust the drying temperature. In this way, the temperature setting can be judged whether it is reasonable according to the moisture content and shape change of the product during the drying process. When it is unreasonable, the temperature can be adjusted in time. The drying temperature can be dynamically adjusted during the drying process to ensure the production quality of the entire product.

[0054] As an embodiment of the present invention, the method for the data processing and analysis module to generate a temperature adjustment instruction is:

[0055] In each time period, each time period is divided into multiple monitoring intervals, and the moisture content of the product in each monitoring interval is obtained by infrared spectroscopy technology. , so as to draw up the curve of product moisture content changing with time ;

[0056] At the same time, the first image of the product is obtained at the beginning of the monitoring interval, and the second image of the product is obtained at the end of the monitoring interval. The first image and the second image are gray-scaled, and the edge recognition technology and threshold segmentation technology are used to obtain the contour information of the first image and the second image, and the contour is extracted to obtain the length of the product in the first image. ,volume Size, and the length of the product in the second image ,volume size;

[0057] So through the formula Get the evaluation value of the monitoring interval ;

[0058] The evaluation value obtained The threshold range preset in the system To compare:

[0059] when When , a temperature adjustment instruction is generated;

[0060] Otherwise, no temperature adjustment instruction is generated;

[0061] in, is the start time of the monitoring interval, is the end time of the monitoring interval, The time-varying curve of the standard moisture content of the product set for the system. is the length change comparison value, is the volume change comparison value, as well as is the proportionality coefficient, as well as The evaluation threshold is set.

[0062] Through the above technical solution, this embodiment provides a specific method for generating a temperature adjustment instruction. Generally speaking, the moisture content and shape change of the dried sweet potato product can best reflect whether the drying temperature is qualified. Therefore, in each time period, each time period is divided into multiple monitoring intervals, and the moisture content of the product in each monitoring interval is obtained by infrared spectroscopy technology. , so as to draw up the curve of product moisture content changing with time At the same time, the first image of the product is obtained at the beginning of the monitoring interval, and the second image of the product is obtained at the end of the monitoring interval. The first image and the second image are gray-scaled, and the edge recognition technology and threshold segmentation technology are used to obtain the contour information of the first image and the second image, and the contour is extracted to obtain the length of the product in the first image. ,volume Size, and the length of the product in the second image ,volume size, so through the formula Get the evaluation value of the monitoring interval ,formula It indicates the difference between the moisture content of the product and the standard moisture content in the monitoring interval. If the difference is larger, it means that the moisture content of the product is higher. In order to ensure the quality of the product, the drying temperature needs to be increased. The formula It shows the shape change in the monitoring interval. Expressed as the length change, Indicates the volume change. When its value is smaller, it means that the product changes less. By comparing it with the respective change comparison values, it can be seen that when The larger the value, the smaller the change, and the drying temperature needs to be increased accordingly. The threshold range preset in the system Compare: When If the temperature is abnormal, it means that the temperature is abnormal and needs to be adjusted, and a temperature adjustment instruction is generated; otherwise, it means that the drying temperature is normal, and no temperature adjustment instruction is generated. In this way, the rationality of the drying temperature setting can be judged according to the evaluation value status generated in each monitoring interval. If it is unreasonable, an adjustment instruction can be generated in time to ensure the normal drying temperature, thereby ensuring the quality of product production.

[0063] In the above technical solution, the span of the monitoring interval can be set manually according to the actual situation. The system sets the product standard moisture content curve over time. And the length change comparison value , volume change comparison value The proportion coefficient can be formulated based on the historical data of the corresponding product type. as well as , set the evaluation threshold as well as It can be determined based on empirical data, which will not be described in detail here.

[0064] As an embodiment of the present invention, the temperature adjustment instruction includes an increase instruction and a decrease instruction:

[0065] when When , an ascending instruction is generated;

[0066] when When , a lowering instruction is generated;

[0067] The method by which the adjustment module adjusts the drying temperature according to the generated temperature adjustment instruction is:

[0068] When the raising instruction is generated, the formula Adjust the temperature of the next monitoring interval to ;

[0069] When a reduction instruction is generated, the formula Adjust the temperature of the next monitoring interval to ;

[0070] in, Set the initial drying temperature for this time period. is the maximum temperature that the system allows to adjust, is the temperature conversion coefficient, as well as is the proportionality coefficient, is the average thickness of the product, is the humidity of the drying room, is the standard reference value for thickness, It is the standard reference value of humidity.

[0071] Through the above technical solution, this embodiment provides a method for adjusting the drying temperature according to the generated temperature adjustment instruction by the adjustment module. First, the adjustment instruction includes an increase instruction and a decrease instruction.

[0072] , it means that the moisture content of the product exceeds the standard moisture content by a large amount, and the deformation of the product is relatively small compared to the standard deformation. In this case, the temperature needs to be increased. In the next monitoring interval, the temperature is increased. Specifically, the formula

[0073] Adjust the temperature of the next monitoring interval to

[0074] ,in

[0075] is the average thickness of the product,

[0076] is the humidity of the drying room. From the formula, we can see that when the evaluation value exceeds the limit, that is,

[0077] The larger the value, the more temperature needs to be increased, but the temperature cannot be increased indefinitely, so set a maximum temperature that the system allows to adjust

[0078] To ensure product quality, the temperature increase is also related to other factors, such as the thickness of the product and the humidity of the drying room. Generally, the thicker the product, the more the temperature needs to be increased. The greater the humidity value of the drying room, the more the temperature needs to be increased. Therefore, the thickness of the product and the humidity of the drying room are taken into account and added to the formula. Adjust the temperature of the next monitoring interval to , to ensure the normal drying temperature; similarly, when When , it means that the evaluation value at this time is small, which means that the moisture content of the product is less than the standard moisture content, and the deformation of the product exceeds the standard deformation. In this case, the temperature needs to be lowered. In the next monitoring interval, the drying temperature will be lowered. The specific formula is Adjust the temperature of the next monitoring interval to In this way, not only can the drying temperature be adjusted accordingly according to the production evaluation value, but also the drying temperature can be accurately adjusted according to the humidity in the drying room and the thickness of the product through comprehensive analysis, so as to ensure the production quality of the product.

[0079] It should be noted that in the above scheme, the maximum temperature that the system allows to adjust is , proportionality coefficient as well as Can be determined based on empirical data, and the temperature conversion coefficient , Thickness standard reference value And humidity standard reference value The average thickness of the product can be determined based on historical data combined with empirical data. The humidity in the drying room can be obtained through the installed humidity sensor based on the prior measurement during product processing.

[0080] As an embodiment of the present invention, the control system further includes an evaluation module, which is used to perform quality evaluation on the entire production process according to the evaluation value status of each time period, and the working method of the evaluation module is:

[0081] Get the evaluation values ​​generated in each time period And the number of times the temperature adjustment instructions are generated in each time period ;

[0082] So through the formula Get the quality coefficient for each time period ;

[0083] Then through the formula Get the whole Quality assessment value of the program ;

[0084] The quality evaluation value obtained Compared with the quality assessment threshold preset in the system as well as To compare:

[0085] when When , the quality of the entire production process is considered to be poor;

[0086] when When the quality of the whole production process is considered to be average;

[0087] when When , the quality of the entire production process is considered to be good;

[0088] Where n is the number of monitoring intervals in the time period, and , is the evaluation value of the ith monitoring interval, is the number of time periods in the entire production process, and , is the quality coefficient of the jth time period, is the standard quality coefficient in the jth time period.

[0089] Through the above technical solution, this embodiment provides a method for evaluating the quality of the entire production process according to the evaluation value status of each time period by the evaluation module. First, the evaluation value generated in each time period is obtained. And the number of times the temperature adjustment instructions are generated in each time period , so that through the formula Get the quality coefficient for each time period Since each time adjustment will cause temperature changes, if there are too many adjustments within a time period, the heating of the product will be affected more. It indicates the fluctuation of the evaluation value within a time period. The larger the value, the greater the fluctuation, which means the worse the heating quality. Therefore, the formula Get the quality coefficient for each time period , and then by the formula Get the whole Quality assessment value of the program , it can be seen that when the quality evaluation value is smaller, it means that the quality of the entire production process is better, so the quality evaluation value obtained is Compared with the quality assessment threshold preset in the system as well as Compare: When When , the quality of the entire production process is considered to be poor; when When , the quality of the entire production process is considered average; when In this way, the quality of the entire production process can be evaluated according to the evaluation value status of each time period, so as to judge the quality of the entire production process. In this way, not only can the product quality be controlled, but also the drying equipment status can be judged according to the production quality situation, and maintenance can be carried out to ensure the subsequent production quality.

[0090] In the above technical solution, the quality assessment threshold preset in the system as well as It can be determined based on historical data combined with empirical data.

[0091] It should be noted that the calculation formulas and various parameters involved in the calculations in the present invention have been dimensionally processed in advance, and the process of dimensionless processing is well known in the industry and will not be described here.

[0092] In one embodiment, a method for quality control management of agricultural product production process is also disclosed, such as Figure 2 As shown, the management method includes the following steps:

[0093] Step 1: According to the product type and characteristics, set the initial drying temperature for each drying time period of the drying equipment according to historical drying data;

[0094] Step 2: Collect image information and related information such as moisture content of the product during the drying process, and upload them to the data processing and analysis module;

[0095] Step 3: Process and analyze the collected related information to generate an evaluation value, and judge whether the drying temperature is reasonable based on the evaluation value;

[0096] Step 4: When the drying temperature is unreasonable, generate a temperature adjustment instruction to adjust the drying temperature.

[0097] The above contents are merely examples and explanations of the concept of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

Claims

1. A quality control management system for agricultural product production process, characterized in that: The control management system comprises: A drying temperature setting module, which sets an initial drying temperature for each time period of the drying process according to historical drying data; A data monitoring and acquisition module, wherein the data monitoring and acquisition module is used to obtain relevant information of the product during the drying process, wherein the relevant information includes the moisture content information of the product, the length information of the product, and the volume information of the product; A data processing and analysis module, which is used to analyze and process the acquired associated information to generate an evaluation value, and judge whether the drying temperature is reasonable according to the evaluation value, and generate a temperature adjustment instruction when it is judged to be unreasonable; an adjustment module, which adjusts the drying temperature accordingly according to the generated temperature adjustment instruction; The method for the data processing and analysis module to generate the temperature adjustment instruction is: in each time period, each time period is divided into multiple monitoring intervals, and the moisture content of the product in each monitoring interval is obtained by infrared spectroscopy technology. , so as to draw up the curve of product moisture content changing with time At the same time, a first image of the product is acquired at the beginning of the monitoring interval, and a second image of the product is acquired at the end of the monitoring interval. The first image and the second image are gray-scaled, and the contour information of the first image and the second image is acquired by using edge recognition technology and threshold segmentation technology. The contour is extracted to obtain the length of the product in the first image. ,volume Size, and the length of the product in the second image ,volume size; thus, through the formula Get the evaluation value of the monitoring interval The evaluation value to be obtained The threshold range preset in the system Compare: When When , a temperature adjustment instruction is generated; Otherwise, no temperature adjustment instruction is generated; wherein, is the start time of the monitoring interval, is the end time of the monitoring interval, The time-varying curve of the standard moisture content of the product set for the system. is the length change comparison value, is the volume change comparison value, as well as is the proportionality coefficient, as well as The evaluation threshold is set.

2. The agricultural product production process quality control management system according to claim 1, characterized in that: The temperature adjustment instructions include an increase instruction and a decrease instruction: when When , an ascending instruction is generated; when , a decrease instruction is generated.

3. The agricultural product production process quality control management system according to claim 2, characterized in that: The method in which the adjustment module adjusts the drying temperature according to the generated temperature adjustment instruction is as follows: when an increase instruction is generated, the formula Adjust the temperature of the next monitoring interval to ; When a reduction instruction is generated, the formula Adjust the temperature of the next monitoring interval to ;in, Set the initial drying temperature for this time period. is the maximum temperature that the system allows to adjust, is the temperature conversion coefficient, as well as is the proportionality coefficient, is the average thickness of the product, is the humidity of the drying room, is the standard reference value for thickness, It is the standard reference value of humidity.

4. The agricultural product production process quality control management system according to claim 3, characterized in that: The control management system further comprises an evaluation module, which is used to perform quality evaluation on the entire production process according to the evaluation value status of each time period.

5. The agricultural product production process quality control management system according to claim 4, characterized in that: The working method of the evaluation module is: Get the evaluation values ​​generated in each time period And the number of times the temperature adjustment instructions are generated in each time period ; Thus, through the formula Get the quality coefficient for each time period ; Then by the formula Derive quality assessment values ​​for the entire production process ; The quality evaluation value obtained Compared with the quality assessment threshold preset in the system as well as Compare: When When , the quality of the entire production process is considered to be poor; when When the quality of the whole production process is considered to be average; when When , the quality of the entire production process is considered to be good; where n is the number of monitoring intervals in the time period, and , is the evaluation value of the ith monitoring interval, is the number of time periods in the entire production process, and , is the quality coefficient of the jth time period, is the standard quality coefficient in the jth time period.

6. A method for quality control management of agricultural product production process, characterized in that: The management method is controlled and executed by the agricultural product production process quality control management system according to any one of claims 1 to 5, and is characterized in that the management method includes: Step 1: According to the product type and characteristics, set the initial drying temperature for each drying time period of the drying equipment according to historical drying data; Step 2: Collect image information and related information such as moisture content of the product during the drying process, and upload them to the data processing and analysis module; Step 3: Process and analyze the collected related information to generate an evaluation value, and judge whether the drying temperature is reasonable based on the evaluation value; Step 4: When the drying temperature is unreasonable, generate a temperature adjustment instruction to adjust the drying temperature.

Images