CN111260155A - Grain processing procedure optimization method and device, electronic equipment and storage medium - Google Patents
Grain processing procedure optimization method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The invention belongs to the technical field of grain processing, and discloses a method and a device for optimizing the working procedure of grain processing, electronic equipment and a storage medium. The method comprises the steps of obtaining product information of the grain product to be evaluated, and carrying out correlation analysis on the product information to obtain processing data of the grain product to be evaluated in a finished product processing procedure; establishing a quality evaluation standard system of the grain product; inputting the processing data into a quality evaluation standard system of the grain product to evaluate the quality of the historical processing procedure of the grain product to be evaluated, and obtaining an evaluation result; and generating a procedure optimization scheme of the historical processing procedure according to the evaluation result, and optimizing the processing procedure of the grain product to be evaluated according to the procedure optimization scheme. The method has the advantages that the grain product processing process is traced back, the quality of the historical processing procedures is evaluated, whether the processing procedures have processing problems or not is judged, the procedures are optimized, and the problem that procedure optimization is difficult to accurately carry out due to the fact that reasonable evaluation systems are not available in all procedures of grain processing is solved.
Description
Technical Field
The invention relates to the technical field of grain processing, in particular to a method and a device for optimizing the working procedure of grain processing, electronic equipment and a storage medium.
Background
At present, grain circulation management means are mostly based on traditional modes such as sampling detection of personnel, file registration management of circulation personnel and the like, and the supervision difficulty is high and the efficiency is low. Product monitoring is carried out on the inventory links, and the equipment of each link is monitored in real time by combining a calling interface of processing equipment in the production process or by scheduling operators of the corresponding links through a terminal by a command center.
In the current system related to grain processing, most researches are based on developing a data management system, all links of quality measurement in grain circulation are combined through an information system to carry out grain quality tracking management, the quality tracking is carried out in the whole process from grain purchase and grain circulation to final consumption on a farm, the informatization management is basically achieved, but analysis of various data in the grain processing process and leaks in the grain processing process are ignored, the current grain production and processing management information system only effectively utilizes various data generated in the grain processing process, only plays a role in supervision and management, and cannot provide analysis and optimization for improving production efficiency and reducing loss and waste of the processing link; meanwhile, large-scale grain processing enterprises consider implementing automatic monitoring and management on the processing process, and collect data in the mass production process, but the data are not effectively analyzed and utilized, so that the production efficiency cannot be improved, and the loss waste of the grain processing link is reduced. Due to various differences of data among enterprises, no reasonable evaluation system exists for data in the grain processing process.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention mainly aims to provide a method and a device for optimizing the working procedures of grain processing, electronic equipment and a storage medium, and aims to solve the technical problem that in the prior art, each working procedure link of grain processing has no reasonable evaluation system and is difficult to accurately optimize the working procedures.
In order to achieve the aim, the invention provides a process optimization method for grain processing, which comprises the following steps:
the method comprises the steps of obtaining product information of a grain product to be evaluated, and carrying out correlation analysis on the product information to obtain processing data of the grain product to be evaluated in a finished product processing procedure;
establishing a quality evaluation standard system of the grain product;
inputting the processing data into a quality evaluation standard system of the grain product to evaluate the quality of the historical processing procedure of the grain product to be evaluated, and obtaining an evaluation result;
and generating a procedure optimization scheme of the historical processing procedure according to the evaluation result, and optimizing the processing procedure of the grain product to be evaluated according to the procedure optimization scheme.
Preferably, the step of obtaining product information of a grain product to be evaluated and performing correlation analysis on the product information to obtain processing data of the grain product to be evaluated in a finished product processing procedure specifically includes:
acquiring product information of a grain product to be evaluated;
performing data dimension reduction processing on the product information according to a preset mapping algorithm to obtain corresponding dimension reduction product information;
constructing an independent variable vector set and a dependent variable vector set according to the dimension reduction product information;
and carrying out correlation analysis on the independent variable vector set and the dependent variable vector set to obtain processing data of the grain product to be evaluated in a finished product processing procedure.
Preferably, the step of establishing a quality evaluation standard system of the grain product specifically includes:
acquiring historical processing data of the grain product to be evaluated in a historical processing procedure;
searching national standard processing data, provincial standard processing data and industry standard processing data of each processing procedure corresponding to the grain product to be evaluated;
and establishing a quality evaluation standard system of the grain product according to the national standard processing data, the provincial standard processing data, the industry standard processing data and the historical processing data.
Preferably, the step of inputting the processing data into a quality evaluation standard system of the grain product to evaluate the quality of the historical processing procedure of the grain product to be evaluated and obtaining an evaluation result includes:
acquiring processing data of a finished product processing procedure according to the processing data, and acquiring processing data of a historical processing procedure according to the processing data of the finished product processing procedure;
inputting the processing data of the historical processing procedure into a quality evaluation standard system of the grain product to obtain standard processing data corresponding to the historical processing procedure;
and comparing the processing data of the historical processing procedure with the standard processing data, and taking the comparison result as an evaluation result.
Preferably, the step of obtaining the machining data of the finished product machining process according to the machining data and obtaining the machining data of the historical machining process according to the machining data of the finished product machining process specifically includes:
acquiring processing data of finished product processing procedures according to the processing data, and searching corresponding processing data of each historical processing procedure in a quality evaluation standard system of the grain product according to the processing data of the finished product processing procedures, wherein the processing data of each historical processing procedure has a corresponding index set, and a corresponding correlation function exists between each index set;
extracting a corresponding finished product processing procedure index set from the processing data of the finished product processing procedure;
acquiring a historical processing procedure index set according to the finished product processing procedure index set and the correlation function;
and acquiring the processing data of the corresponding historical processing procedure according to the historical processing procedure index set.
Preferably, the step of inputting the processing data of the historical processing procedure into the quality evaluation standard system of the grain product to obtain the standard processing data corresponding to the historical processing procedure includes:
inputting the processing data of the historical processing procedure into a quality evaluation standard system of the grain product;
searching national standard processing data, provincial standard processing data and industry standard processing data corresponding to the historical processing procedure based on the quality evaluation standard system of the grain product;
and generating corresponding standard processing data according to the national standard processing data, the provincial standard processing data and the industry standard processing data corresponding to the historical processing procedures.
Preferably, the step of generating a procedure optimization scheme of the historical processing procedure according to the evaluation result, and performing processing procedure optimization on the grain product to be evaluated according to the procedure optimization scheme specifically includes:
judging whether the evaluation result contains abnormal processing data or not;
when the evaluation result contains the abnormal processing data, searching a processing adjustment parameter corresponding to the abnormal processing data from a preset processing adjustment table;
and generating a procedure optimization scheme of the historical processing procedure according to the processing adjustment parameters, and optimizing the processing procedure of the grain product to be evaluated according to the procedure optimization scheme.
In addition, in order to achieve the above object, the present invention further provides a process optimization device for grain processing, the device comprising:
the data acquisition module is used for acquiring product information of the grain product to be evaluated and carrying out correlation analysis on the product information so as to acquire processing data of the grain product to be evaluated in a finished product processing procedure;
the system establishing module is used for establishing a quality evaluation standard system of the grain product;
the result evaluation module is used for inputting the processing data into a quality evaluation standard system of the grain product to evaluate the quality of the historical processing procedure of the grain product to be evaluated and obtaining an evaluation result;
and the optimization generation module is used for generating a procedure optimization scheme of the historical processing procedure according to the evaluation result and optimizing the processing procedure of the grain product to be evaluated according to the procedure optimization scheme.
In addition, to achieve the above object, the present invention also provides an electronic device, including: a memory, a processor and a process optimization program for grain processing stored on the memory and executable on the processor, the process optimization program for grain processing being configured to implement the steps of the process optimization method for grain processing as described above.
In addition, in order to achieve the above object, the present invention further provides a storage medium, wherein the storage medium stores a procedure optimization program for grain processing, and the procedure optimization program for grain processing, when executed by a processor, implements the steps of the procedure optimization method for grain processing as described above.
According to the method, the processing data of the grain product to be evaluated in the finished product processing procedure is obtained by obtaining the product information of the grain product to be evaluated and carrying out correlation analysis on the product information; establishing a quality evaluation standard system of the grain product; inputting the processing data into a quality evaluation standard system of the grain product to evaluate the quality of the historical processing procedure of the grain product to be evaluated, and obtaining an evaluation result; and generating a procedure optimization scheme of the historical processing procedure according to the evaluation result, and optimizing the processing procedure of the grain product to be evaluated according to the procedure optimization scheme. In this way, the processing process of the grain product is traced back and the historical processing procedure of the grain product is subjected to quality evaluation, whether the processing procedure has the defects of being not processed or being processed excessively is judged, whether the processing degree of the processing procedure is suitable or whether the raw material is suitable for the production line can be judged accordingly, the accurate procedure position with problems in the processing procedure is found, and then the procedure optimization is carried out, so that each procedure link of the grain processing is more efficient and better, and the technical problem that each procedure link of the grain processing in the prior art is difficult to accurately carry out the procedure optimization without a reasonable evaluation system is solved.
Drawings
Fig. 1 is a schematic structural diagram of an electronic device in a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a first embodiment of a method for optimizing the process of grain processing according to the present invention;
FIG. 3 is a schematic flow chart of a second embodiment of the method for optimizing the process of grain processing according to the present invention;
FIG. 4 is a schematic flow chart of a third embodiment of a method for optimizing the process of grain processing according to the present invention;
FIG. 5 is a schematic flow chart of a fourth embodiment of a method for optimizing the process of grain processing according to the present invention;
fig. 6 is a block diagram illustrating a first embodiment of a process optimizing apparatus for grain processing according to the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of an electronic device in a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 1, the electronic device may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a WIreless interface (e.g., a WIreless-FIdelity (WI-FI) interface). The Memory 1005 may be a Random Access Memory (RAM) Memory, or may be a Non-Volatile Memory (NVM), such as a disk Memory. The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the configuration shown in fig. 1 does not constitute a limitation of the electronic device and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a storage medium, may include an operating system, a network communication module, a user interface module, and a process optimization program for grain processing.
In the electronic apparatus shown in fig. 1, the network interface 1004 is mainly used for data communication with a network server; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 of the electronic device according to the present invention may be disposed in the electronic device, and the electronic device calls the procedure optimization program of the grain processing stored in the memory 1005 through the processor 1001 and executes the procedure optimization method of the grain processing according to the embodiment of the present invention.
The embodiment of the invention provides a method for optimizing the procedures of grain processing, and referring to fig. 2, fig. 2 is a schematic flow diagram of a first embodiment of the method for optimizing the procedures of grain processing.
In this embodiment, the method for optimizing the grain processing process includes the following steps:
step S10: the method comprises the steps of obtaining product information of the grain product to be evaluated, and carrying out correlation analysis on the product information to obtain processing data of the grain product to be evaluated in a finished product processing procedure.
It should be noted that the step of obtaining product information of a grain product to be evaluated and performing correlation analysis on the product information to obtain processing data of the grain product to be evaluated in a finished product processing procedure specifically includes: acquiring product information of a grain product to be evaluated; performing data dimension reduction processing on the product information according to a preset mapping algorithm to obtain corresponding dimension reduction product information; constructing an independent variable vector set and a dependent variable vector set according to the dimension reduction product information; and carrying out correlation analysis on the independent variable vector set and the dependent variable vector set to obtain processing data of the grain product to be evaluated in a finished product processing procedure.
Further, product information of the grain product to be evaluated is acquired, the product information can include the producing area, variety, processing information and circulation information of the grain, and the processing information can include information such as the name of a grain processing company, the grain processing field, the grain purchasing time, a grain storage warehouse, the grain processing time, the grain processing technology and the grain packaging time. The circulation information may include information of a transportation starting point, loading time, transportation starting time, transportation storage environment, transfer station, distribution destination, arrival destination time, sales organization information, warehousing time, ex-warehouse time, grain sales time, and the like of grains. The embodiment may also obtain other product information of the grain product to be evaluated according to actual needs, which is not limited in this embodiment. The product information may include a production area, a variety, processing information, and circulation information of the grain, and the product information needs to be subjected to data preprocessing to remove redundant information, so as to obtain processing procedure information of the grain processing time and the grain processing technology waiting for evaluation of the grain product, for example, data dimension reduction processing is performed on the product information according to a preset mapping algorithm, and corresponding dimension reduction product information is obtained. Constructing an independent variable vector set and a dependent variable vector set according to the dimension reduction product information; and carrying out correlation analysis on the independent variable vector set and the dependent variable vector set to obtain processing data of the grain product to be evaluated in a finished product processing procedure.
Step S20: and establishing a quality evaluation standard system of the grain product.
It is easy to understand that the step of establishing the quality evaluation standard system of the grain product specifically comprises the following steps: acquiring historical processing data of the grain product to be evaluated in a historical processing procedure; searching national standard processing data, provincial standard processing data and industry standard processing data of each processing procedure corresponding to the grain product to be evaluated; and establishing a quality evaluation standard system of the grain product according to the national standard processing data, the provincial standard processing data, the industry standard processing data and the historical processing data.
Furthermore, historical processing data of the grain product to be evaluated in a historical processing procedure is obtained, namely production and processing level data in the existing processing procedure process of a production enterprise is obtained.
Step S30: and inputting the processing data into a quality evaluation standard system of the grain product to evaluate the quality of the historical processing procedure of the grain product to be evaluated, and obtaining an evaluation result.
It should be noted that the step of inputting the processing data into the quality evaluation standard system of the grain product to evaluate the quality of the historical processing procedure of the grain product to be evaluated and obtaining an evaluation result specifically includes: acquiring processing data of a finished product processing procedure according to the processing data, and acquiring processing data of a historical processing procedure according to the processing data of the finished product processing procedure; inputting the processing data of the historical processing procedure into a quality evaluation standard system of the grain product to obtain standard processing data corresponding to the historical processing procedure; and comparing the processing data of the historical processing procedure with the standard processing data, and taking the comparison result as an evaluation result.
Further, processing data of finished product processing procedures are obtained according to the processing data, and corresponding processing data of each historical processing procedure is searched in a quality evaluation standard system of the grain product according to the processing data of the finished product processing procedures, wherein the processing data of each historical processing procedure has a corresponding index set, and a corresponding correlation function exists between each index set; extracting a corresponding finished product processing procedure index set from the processing data of the finished product processing procedure; acquiring a historical processing procedure index set according to the finished product processing procedure index set and the correlation function; and acquiring the processing data of the corresponding historical processing procedure according to the historical processing procedure index set.
Step S40: and generating a procedure optimization scheme of the historical processing procedure according to the evaluation result, and optimizing the processing procedure of the grain product to be evaluated according to the procedure optimization scheme.
It is easy to understand that the step of generating the procedure optimization scheme of the historical processing procedure according to the evaluation result and optimizing the processing procedure of the grain product to be evaluated according to the procedure optimization scheme specifically includes: judging whether the evaluation result contains abnormal processing data or not; when the evaluation result contains the abnormal processing data, searching a processing adjustment parameter corresponding to the abnormal processing data from a preset processing adjustment table; and generating a procedure optimization scheme of the historical processing procedure according to the processing adjustment parameters.
Further, the process optimization scheme can be generated through a data envelope analysis algorithm, a fuzzy comprehensive evaluation algorithm, a multiple regression analysis algorithm, a k-means clustering algorithm and the like. The current processing scheme level of the enterprise is macroscopically inquired and analyzed from different dimensions, and a working procedure optimization scheme can be evaluated and generated aiming at the grain processing scheme of a single production line by combining a fuzzy comprehensive evaluation algorithm, a data envelope analysis algorithm and a quality evaluation standard system of grain products, so that the yield and consumption of the grain processing enterprise are increased and reduced. For example, a process optimization scheme is generated by a data envelope analysis algorithm: processing scheme data corresponding to the historical processing procedures are obtained from a preset grain processing database, and a preset data envelope analysis model is established according to the processing scheme data; evaluating the effectiveness of the machining data of the historical machining process through a preset data envelope analysis model, and determining whether the machining data of the historical machining process contains abnormal machining data according to the evaluation result; when the processing data of the historical processing procedure contains abnormal processing data, the processing adjustment parameters corresponding to the abnormal processing data are searched from a preset processing adjustment table, the historical processing links are adjusted according to the processing adjustment parameters, waste generated in the grain processing procedure can be accurately predicted, an optimal production mode is obtained by combining a data envelope analysis algorithm and is optimized, and therefore loss and waste of materials and energy in the grain processing procedure are reduced, production cost is reduced, and enterprise income is improved.
In the embodiment, the processing data of the grain product to be evaluated in the finished product processing procedure is obtained by obtaining the product information of the grain product to be evaluated and carrying out correlation analysis on the product information; establishing a quality evaluation standard system of the grain product; inputting the processing data into a quality evaluation standard system of the grain product to evaluate the quality of the historical processing procedure of the grain product to be evaluated, and obtaining an evaluation result; and generating a procedure optimization scheme of the historical processing procedure according to the evaluation result, and optimizing the processing procedure of the grain product to be evaluated according to the procedure optimization scheme. In this way, the processing process of the grain product is traced back and the historical processing procedure of the grain product is subjected to quality evaluation, whether the processing procedure has the defects of being not processed or being processed excessively is judged, whether the processing degree of the processing procedure is suitable or whether the raw material is suitable for the production line can be judged accordingly, the accurate procedure position with problems in the processing procedure is found, and then the procedure optimization is carried out, so that each procedure link of the grain processing is more efficient and better, and the technical problem that each procedure link of the grain processing in the prior art is difficult to accurately carry out the procedure optimization without a reasonable evaluation system is solved.
Referring to fig. 3, fig. 3 is a schematic flow chart of a second embodiment of a process optimization method for grain processing according to the present invention.
Based on the first embodiment, the method for optimizing the grain processing procedure in this embodiment specifically includes, in the step S10:
step S101: and acquiring product information of the grain product to be evaluated.
It should be noted that the product information of the grain product to be evaluated is acquired, the product information may include the producing area, variety, processing information and circulation information of the grain, and the processing information may include the name of the grain processing company, the grain processing field, the grain purchasing time, the grain purchasing staff, the grain storage warehouse, the warehouse manager, the grain processing staff, the grain processing time, the grain processing technology, the grain quality inspection staff, the grain quality inspection result, the grain packaging time, the information of the packaging staff, and the like. The circulation information may include a transportation starting point, loading time, loading personnel, transportation starting time, transportation personnel, transportation storage environment, transfer station, time to reach the transfer station, distribution destination, time to reach destination, receiving personnel, sales organization information, warehousing time, warehousing personnel, ex-warehouse time, disassembly and assembly personnel, grain sales time, and sales personnel information of the grain. The embodiment may also obtain other product information of the grain product to be evaluated according to actual needs, which is not limited in this embodiment.
Step S102: and performing data dimension reduction processing on the product information according to a preset mapping algorithm to obtain corresponding dimension reduction product information.
It is easy to understand that the product information may include a production area, a variety, processing information, and circulation information of the grain, and the product information needs to be subjected to data preprocessing to remove redundant information, so as to obtain processing procedure information of the grain processing time and the grain processing technology waiting for evaluating the grain product, for example, the product information is subjected to data dimension reduction processing according to a preset mapping algorithm to obtain corresponding dimension reduction product information.
Further, the data dimension reduction processing means that a certain mapping method is adopted to map data points in the original high-dimensional space into a low-dimensional space. The essence of data dimensionality reduction is a mapping function f: x- > y, where x is a vector representation of an original data point, and most of the current vector representation forms are used, y is a low-dimensional vector representation after data point mapping, and the dimension of y is usually smaller than that of x. The data dimension reduction processing can process data expressed by vectors or data expressed by high-order tensors, and redundant information and noise information are contained in an original high-dimensional space, so that errors are caused in practical application, and the accuracy is reduced; and performing data dimension reduction processing on the product information according to a preset mapping algorithm to remove redundant information and noise information in the product information, thereby obtaining corresponding dimension reduction product information. The data dimension reduction processing reduces errors caused by redundant information and noise information, improves the identification (or other application) precision, and can also find the intrinsic structural features in the data through the data dimension reduction processing.
Step S103: and constructing an independent variable vector set and a dependent variable vector set according to the dimension reduction product information.
The correlation analysis refers to analyzing two or more variable elements with correlation, so as to measure the degree of closeness of correlation between two variable factors. Certain connection or probability is required to exist between elements of the correlation so as to carry out correlation analysis. Therefore, correlation analysis is performed on the dimension reduction product information, and an independent variable vector set and a dependent variable vector set need to be constructed according to the dimension reduction product information.
Step S104: and carrying out correlation analysis on the independent variable vector set and the dependent variable vector set to obtain processing data of the grain product to be evaluated in a finished product processing procedure.
It is easy to understand that an independent variable vector set and a dependent variable vector set are constructed according to the dimension reduction product information, correlation analysis is performed on the independent variable vector set and the dependent variable vector set, data with significant or extremely significant correlation relation with a processing procedure are obtained from the dimension reduction product information, and the data with significant or extremely significant correlation relation with the processing procedure are used as processing data of the grain product to be evaluated in a finished product processing procedure.
The embodiment obtains the product information of the grain product to be evaluated; performing data dimension reduction processing on the product information according to a preset mapping algorithm to obtain corresponding dimension reduction product information; constructing an independent variable vector set and a dependent variable vector set according to the dimension reduction product information; and carrying out correlation analysis on the independent variable vector set and the dependent variable vector set to obtain processing data of the grain product to be evaluated in a finished product processing procedure. By the method, the processing data of the grain product to be evaluated in the finished product processing procedure is obtained through data dimension reduction processing and correlation analysis, errors caused by redundant information and noise information are reduced, and the precision of the processing data is improved.
Referring to fig. 4, fig. 4 is a schematic flow chart of a third embodiment of a procedure optimization method for grain processing according to the present invention.
Based on the first embodiment, the method for optimizing the grain processing procedure in this embodiment specifically includes, in the step S30:
step S301: and acquiring the processing data of the finished product processing procedure according to the processing data, and acquiring the processing data of the historical processing procedure according to the processing data of the finished product processing procedure.
The step of obtaining the machining data of the finished product machining process according to the machining data and obtaining the machining data of the historical machining process according to the machining data of the finished product machining process specifically includes: acquiring processing data of finished product processing procedures according to the processing data, and searching corresponding processing data of each historical processing procedure in a quality evaluation standard system of the grain product according to the processing data of the finished product processing procedures, wherein the processing data of each historical processing procedure has a corresponding index set, and a corresponding correlation function exists between each index set; extracting a corresponding finished product processing procedure index set from the processing data of the finished product processing procedure; acquiring a historical processing procedure index set according to the finished product processing procedure index set and the correlation function; and acquiring the processing data of the corresponding historical processing procedure according to the historical processing procedure index set. The processing data are all processing data of the grain product to be evaluated in a finished product processing procedure, the processing data of the finished product processing procedure are obtained according to the processing data, the processing data of the finished product processing procedure are processing data of a finished product processing procedure of the last step of the grain product to be evaluated, and the processing data of the historical processing procedure are processing data of a semi-finished product processing procedure of the grain product to be evaluated. Further, the processing data of each historical processing procedure has a corresponding index set, and it can be considered that a semi-finished product of each processing procedure has one index set in the grain processing process, and a corresponding correlation function exists between the index sets, that is, a correlation function exists between the index sets. For example, the last processing procedure index set can be obtained according to the final product processing procedure index set and the correlation function between the final product processing procedure and the last processing procedure, and the processing data corresponding to the processing procedure can be obtained according to the last processing procedure index set.
Step S302: and inputting the processing data of the historical processing procedure into a quality evaluation standard system of the grain product to obtain standard processing data corresponding to the historical processing procedure.
It is easy to understand that the step of inputting the processing data of the historical processing procedure into the quality evaluation standard system of the grain product to obtain the standard processing data corresponding to the historical processing procedure specifically includes: inputting the processing data of the historical processing procedure into a quality evaluation standard system of the grain product; searching national standard processing data, provincial standard processing data and industry standard processing data corresponding to the historical processing procedure based on the quality evaluation standard system of the grain product; and generating corresponding standard processing data according to the national standard processing data, the provincial standard processing data and the industry standard processing data corresponding to the historical processing procedures.
Step S303: and comparing the processing data of the historical processing procedure with the standard processing data, and taking the comparison result as an evaluation result.
The comparison method between the machining data of the historical machining process and the standard machining data may include other aspects, and the present embodiment is not limited thereto, for example, the historical machining process may be considered to be over-machined when the machining data of the historical machining process is greater than the standard machining data, or the historical machining process may be considered to be under-machined when the machining data of the historical machining process is less than the standard machining data.
The processing data of the historical processing procedure is obtained according to the processing data of the finished product processing procedure; inputting the processing data of the historical processing procedure into a quality evaluation standard system of the grain product to obtain standard processing data corresponding to the historical processing procedure; and comparing the processing data of the historical processing procedure with the standard processing data, and taking the comparison result as an evaluation result. By the mode, the whole analysis is detailed, the link analysis is accurate, the whole processing process is refined and decomposed into each processing procedure, and the suitability of each processing procedure to raw materials can be judged according to the comparison of standard processing data.
Referring to fig. 5, fig. 5 is a schematic flow chart of a fourth embodiment of a procedure optimization method for grain processing according to the present invention.
Based on the first embodiment, the method for optimizing the grain processing procedure in this embodiment specifically includes, in the step S40:
step S401: and judging whether the evaluation result contains abnormal processing data.
It should be noted that the process optimization scheme can be generated through a data envelope analysis algorithm, a fuzzy comprehensive evaluation algorithm, a multiple regression analysis algorithm, a k-means clustering algorithm, and the like. The current processing scheme level of the enterprise is macroscopically inquired and analyzed from different dimensions, and a working procedure optimization scheme can be evaluated and generated aiming at the grain processing scheme of a single production line by combining a fuzzy comprehensive evaluation algorithm, a data envelope analysis algorithm and a quality evaluation standard system of grain products, so that the yield and consumption of the grain processing enterprise are increased and reduced. For example, a process optimization scheme is generated by a data envelope analysis algorithm: processing scheme data corresponding to the historical processing procedures are obtained from a preset grain processing database, and a preset data envelope analysis model is established according to the processing scheme data; the effectiveness evaluation is performed on the machining data of the historical machining process through a preset data envelope analysis model to generate an evaluation result, and whether abnormal machining data is included in the machining data of the historical machining process is determined according to the evaluation result, where the abnormal machining data may include a machining degree such as insufficient machining or excessive machining, and the abnormal machining data may include other aspects, which are not limited in this embodiment.
Step S402: and when the evaluation result contains the abnormal processing data, searching a processing adjustment parameter corresponding to the abnormal processing data from a preset processing adjustment table.
It is easy to understand that when the processing data of the historical processing procedure includes abnormal processing data, the processing adjustment parameter corresponding to the abnormal processing data is searched from a preset processing adjustment table, and the preset processing adjustment table may be created according to actual needs, for example, the preset processing adjustment table is created according to national standard processing data, provincial standard processing data and industry standard processing data of each processing procedure corresponding to a grain product.
Step S403: and generating a procedure optimization scheme of the historical processing procedure according to the processing adjustment parameters, and optimizing the processing procedure of the grain product to be evaluated according to the procedure optimization scheme.
It should be noted that, a process optimization scheme of the historical processing process is generated according to the processing adjustment parameters, the processing process of the grain product to be evaluated is optimized according to the process optimization scheme, the historical processing links are adjusted, waste generated in the grain processing process can be accurately predicted, an optimal production mode is obtained by combining a data envelope analysis algorithm and optimized, and therefore loss and waste of materials and energy in the grain processing process are reduced, production cost is reduced, and enterprise income is improved.
The embodiment determines whether the evaluation result includes abnormal processing data; when the evaluation result contains the abnormal processing data, searching a processing adjustment parameter corresponding to the abnormal processing data from a preset processing adjustment table; and generating a procedure optimization scheme of the historical processing procedure according to the processing adjustment parameters. By the method, waste generated in the grain processing process can be accurately predicted, an optimal production mode is obtained by combining a data envelope analysis algorithm and is optimized, so that loss and waste of materials and energy in the grain processing process are reduced, the production cost is reduced, and the enterprise income is improved.
In addition, an embodiment of the present invention further provides a storage medium, where the storage medium stores a procedure optimization program for grain processing, and the procedure optimization program for grain processing, when executed by a processor, implements the steps of the procedure optimization method for grain processing described above.
Referring to fig. 6, fig. 6 is a block diagram illustrating a first embodiment of a process optimizing apparatus for grain processing according to the present invention.
As shown in fig. 6, the apparatus for optimizing a grain processing process according to an embodiment of the present invention includes:
the data acquisition module 10 is configured to acquire product information of a grain product to be evaluated, and perform correlation analysis on the product information to obtain processing data of the grain product to be evaluated in a finished product processing procedure.
It should be noted that the step of obtaining product information of a grain product to be evaluated and performing correlation analysis on the product information to obtain processing data of the grain product to be evaluated in a finished product processing procedure specifically includes: acquiring product information of a grain product to be evaluated; performing data dimension reduction processing on the product information according to a preset mapping algorithm to obtain corresponding dimension reduction product information; constructing an independent variable vector set and a dependent variable vector set according to the dimension reduction product information; and carrying out correlation analysis on the independent variable vector set and the dependent variable vector set to obtain processing data of the grain product to be evaluated in a finished product processing procedure.
Further, product information of the grain product to be evaluated is acquired, the product information can include the producing area, variety, processing information and circulation information of the grain, and the processing information can include information such as the name of a grain processing company, the grain processing field, the grain purchasing time, a grain storage warehouse, the grain processing time, the grain processing technology and the grain packaging time. The circulation information may include information of a transportation starting point, loading time, transportation starting time, transportation storage environment, transfer station, distribution destination, arrival destination time, sales organization information, warehousing time, ex-warehouse time, grain sales time, and the like of grains. The embodiment may also obtain other product information of the grain product to be evaluated according to actual needs, which is not limited in this embodiment. The product information may include a production area, a variety, processing information, and circulation information of the grain, and the product information needs to be subjected to data preprocessing to remove redundant information, so as to obtain processing procedure information of the grain processing time and the grain processing technology waiting for evaluation of the grain product, for example, data dimension reduction processing is performed on the product information according to a preset mapping algorithm, and corresponding dimension reduction product information is obtained. Constructing an independent variable vector set and a dependent variable vector set according to the dimension reduction product information; and carrying out correlation analysis on the independent variable vector set and the dependent variable vector set to obtain processing data of the grain product to be evaluated in a finished product processing procedure.
And the system establishing module 20 is used for establishing a quality evaluation standard system of the grain product.
It is easy to understand that the step of establishing the quality evaluation standard system of the grain product specifically comprises the following steps: acquiring historical processing data of the grain product to be evaluated in a historical processing procedure; searching national standard processing data, provincial standard processing data and industry standard processing data of each processing procedure corresponding to the grain product to be evaluated; and establishing a quality evaluation standard system of the grain product according to the national standard processing data, the provincial standard processing data, the industry standard processing data and the historical processing data.
Furthermore, historical processing data of the grain product to be evaluated in a historical processing procedure is obtained, namely production and processing level data in the existing processing procedure process of a production enterprise is obtained.
And the result evaluation module 30 is configured to input the processing data into a quality evaluation standard system of the grain product to perform quality evaluation on the historical processing procedure of the grain product to be evaluated, and obtain an evaluation result.
It should be noted that the step of inputting the processing data into the quality evaluation standard system of the grain product to evaluate the quality of the historical processing procedure of the grain product to be evaluated and obtaining an evaluation result specifically includes: acquiring processing data of a historical processing procedure according to the processing data of the finished product processing procedure; inputting the processing data of the historical processing procedure into a quality evaluation standard system of the grain product to obtain standard processing data corresponding to the historical processing procedure; and comparing the processing data of the historical processing procedure with the standard processing data, and taking the comparison result as an evaluation result.
Further, searching corresponding processing data of each historical processing procedure in a quality evaluation standard system of the grain product according to the processing data of the finished product processing procedure, wherein the processing data of each historical processing procedure has a corresponding index set, and a corresponding correlation function exists between each index set; extracting a corresponding finished product processing procedure index set from the processing data of the finished product processing procedure; acquiring a historical processing procedure index set according to the finished product processing procedure index set and the correlation function; and acquiring the processing data of the corresponding historical processing procedure according to the historical processing procedure index set.
And the optimization generation module 40 is configured to generate a procedure optimization scheme of the historical processing procedure according to the evaluation result, and perform processing procedure optimization on the grain product to be evaluated according to the procedure optimization scheme.
It is easy to understand that the step of generating the procedure optimization scheme of the historical processing procedure according to the evaluation result and optimizing the processing procedure of the grain product to be evaluated according to the procedure optimization scheme specifically includes: judging whether the evaluation result contains abnormal processing data or not; when the evaluation result contains the abnormal processing data, searching a processing adjustment parameter corresponding to the abnormal processing data from a preset processing adjustment table; and generating a procedure optimization scheme of the historical processing procedure according to the processing adjustment parameters.
Further, the process optimization scheme can be generated through a data envelope analysis algorithm, a fuzzy comprehensive evaluation algorithm, a multiple regression analysis algorithm, a k-means clustering algorithm and the like. The current processing scheme level of the enterprise is macroscopically inquired and analyzed from different dimensions, and a working procedure optimization scheme can be evaluated and generated aiming at the grain processing scheme of a single production line by combining a fuzzy comprehensive evaluation algorithm, a data envelope analysis algorithm and a quality evaluation standard system of grain products, so that the yield and consumption of the grain processing enterprise are increased and reduced. For example, a process optimization scheme is generated by a data envelope analysis algorithm: processing scheme data corresponding to the historical processing procedures are obtained from a preset grain processing database, and a preset data envelope analysis model is established according to the processing scheme data; evaluating the effectiveness of the machining data of the historical machining process through a preset data envelope analysis model, and determining whether the machining data of the historical machining process contains abnormal machining data according to the evaluation result; when the processing data of the historical processing procedure contains abnormal processing data, the processing adjustment parameters corresponding to the abnormal processing data are searched from a preset processing adjustment table, the historical processing links are adjusted according to the processing adjustment parameters, waste generated in the grain processing procedure can be accurately predicted, an optimal production mode is obtained by combining a data envelope analysis algorithm and is optimized, and therefore loss and waste of materials and energy in the grain processing procedure are reduced, production cost is reduced, and enterprise income is improved.
In this embodiment, the data obtaining module 10 is configured to obtain product information of a grain product to be evaluated, and perform correlation analysis on the product information to obtain processing data of the grain product to be evaluated in a finished product processing procedure; the system establishing module 20 is used for establishing a quality evaluation standard system of the grain product; the result evaluation module 30 is configured to input the processing data into a quality evaluation standard system of the grain product to evaluate the quality of the historical processing procedure of the grain product to be evaluated, and obtain an evaluation result; and the optimization generation module 40 is configured to generate a procedure optimization scheme of the historical processing procedure according to the evaluation result, and perform processing procedure optimization on the grain product to be evaluated according to the procedure optimization scheme. In this way, the processing process of the grain product is traced back and the historical processing procedure of the grain product is subjected to quality evaluation, whether the processing procedure has the defects of being not processed or being processed excessively is judged, whether the processing degree of the processing procedure is suitable or whether the raw material is suitable for the production line can be judged accordingly, the accurate procedure position with problems in the processing procedure is found, and then the procedure optimization is carried out, so that each procedure link of the grain processing is more efficient and better, and the technical problem that each procedure link of the grain processing in the prior art is difficult to accurately carry out the procedure optimization without a reasonable evaluation system is solved.
It should be understood that the above is only an example, and the technical solution of the present invention is not limited in any way, and in a specific application, a person skilled in the art may set the technical solution as needed, and the present invention is not limited thereto.
It should be noted that the above-described work flows are only exemplary, and do not limit the scope of the present invention, and in practical applications, a person skilled in the art may select some or all of them to achieve the purpose of the solution of the embodiment according to actual needs, and the present invention is not limited herein.
In addition, the technical details that are not described in detail in this embodiment may be referred to a method for optimizing a grain processing process according to any embodiment of the present invention, and are not described herein again.
Further, it is to be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention or portions thereof that contribute to the prior art may be embodied in the form of a software product, where the computer software product is stored in a storage medium (e.g. Read Only Memory (ROM)/RAM, magnetic disk, optical disk), and includes several instructions for enabling a terminal device (e.g. a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A method for optimizing a process of grain processing, the method comprising:
the method comprises the steps of obtaining product information of a grain product to be evaluated, and carrying out correlation analysis on the product information to obtain processing data of the grain product to be evaluated in a finished product processing procedure;
establishing a quality evaluation standard system of the grain product;
inputting the processing data into a quality evaluation standard system of the grain product to evaluate the quality of the historical processing procedure of the grain product to be evaluated, and obtaining an evaluation result;
and generating a procedure optimization scheme of the historical processing procedure according to the evaluation result, and optimizing the processing procedure of the grain product to be evaluated according to the procedure optimization scheme.
2. The method according to claim 1, wherein the step of obtaining product information of the grain product to be evaluated and performing correlation analysis on the product information to obtain processing data of the grain product to be evaluated in a finished product processing procedure specifically comprises:
acquiring product information of a grain product to be evaluated;
performing data dimension reduction processing on the product information according to a preset mapping algorithm to obtain corresponding dimension reduction product information;
constructing an independent variable vector set and a dependent variable vector set according to the dimension reduction product information;
and carrying out correlation analysis on the independent variable vector set and the dependent variable vector set to obtain processing data of the grain product to be evaluated in a finished product processing procedure.
3. The method according to claim 2, wherein the step of establishing a quality evaluation standard system of the grain product specifically comprises:
acquiring historical processing data of the grain product to be evaluated in a historical processing procedure;
searching national standard processing data, provincial standard processing data and industry standard processing data of each processing procedure corresponding to the grain product to be evaluated;
and establishing a quality evaluation standard system of the grain product according to the national standard processing data, the provincial standard processing data, the industry standard processing data and the historical processing data.
4. The method according to claim 3, wherein the step of inputting the processing data into a quality evaluation standard system of the grain product to evaluate the quality of the historical processing procedure of the grain product to be evaluated and obtaining an evaluation result comprises:
acquiring processing data of a finished product processing procedure according to the processing data, and acquiring processing data of a historical processing procedure according to the processing data of the finished product processing procedure;
inputting the processing data of the historical processing procedure into a quality evaluation standard system of the grain product to obtain standard processing data corresponding to the historical processing procedure;
and comparing the processing data of the historical processing procedure with the standard processing data, and taking the comparison result as an evaluation result.
5. The method according to claim 4, wherein the step of obtaining the machining data of the finished product machining process according to the machining data and obtaining the machining data of the historical machining process according to the machining data of the finished product machining process includes:
acquiring processing data of finished product processing procedures according to the processing data, and searching corresponding processing data of each historical processing procedure in a quality evaluation standard system of the grain product according to the processing data of the finished product processing procedures, wherein the processing data of each historical processing procedure has a corresponding index set, and a corresponding correlation function exists between each index set;
extracting a corresponding finished product processing procedure index set from the processing data of the finished product processing procedure;
acquiring a historical processing procedure index set according to the finished product processing procedure index set and the correlation function;
and acquiring the processing data of the corresponding historical processing procedure according to the historical processing procedure index set.
6. The method according to claim 5, wherein the step of inputting the processing data of the historical processing procedure into a quality evaluation standard system of the grain product to obtain standard processing data corresponding to the historical processing procedure comprises:
inputting the processing data of the historical processing procedure into a quality evaluation standard system of the grain product;
searching national standard processing data, provincial standard processing data and industry standard processing data corresponding to the historical processing procedure based on the quality evaluation standard system of the grain product;
and generating corresponding standard processing data according to the national standard processing data, the provincial standard processing data and the industry standard processing data corresponding to the historical processing procedures.
7. The method according to claim 6, wherein the step of generating a process optimization plan of the historical processing process according to the evaluation result and performing the process optimization on the grain product to be evaluated according to the process optimization plan specifically comprises:
judging whether the evaluation result contains abnormal processing data or not;
when the evaluation result contains the abnormal processing data, searching a processing adjustment parameter corresponding to the abnormal processing data from a preset processing adjustment table;
and generating a procedure optimization scheme of the historical processing procedure according to the processing adjustment parameters, and optimizing the processing procedure of the grain product to be evaluated according to the procedure optimization scheme.
8. A process optimization device for grain processing, the device comprising:
the data acquisition module is used for acquiring product information of the grain product to be evaluated and carrying out correlation analysis on the product information so as to acquire processing data of the grain product to be evaluated in a finished product processing procedure;
the system establishing module is used for establishing a quality evaluation standard system of the grain product;
the result evaluation module is used for inputting the processing data into a quality evaluation standard system of the grain product to evaluate the quality of the historical processing procedure of the grain product to be evaluated and obtaining an evaluation result;
and the optimization generation module is used for generating a procedure optimization scheme of the historical processing procedure according to the evaluation result and optimizing the processing procedure of the grain product to be evaluated according to the procedure optimization scheme.
9. An electronic device, characterized in that the device comprises: a memory, a processor and a process optimization program for grain processing stored on the memory and executable on the processor, the process optimization program for grain processing being configured to implement the steps of the process optimization method for grain processing according to any one of claims 1 to 7.
10. A storage medium having stored thereon a process optimization program for grain processing, which when executed by a processor implements the steps of the process optimization method for grain processing according to any one of claims 1 to 7.
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