Wheat storage quality supervision and regulation system

Abstract

The invention discloses a wheat storage quality supervision and regulation system, and belongs to the technical field of storage quality regulation. Performing quality storage state supervision evaluation of different dimensions on the stored wheat to obtain a quality storage state local supervision set of different sampling detection points at different detection timestamps; according to the quality storage state local supervision set, the quality storage states of the stored wheat at different sampling detection points and different detection timestamps can be obtained; multi-dimensional supervision evaluation is performed on a quality storage state local supervision set of different sampling inspection detection points of a stored wheat sampling inspection scheme at different detection timestamps, and the storage of stored wheat is dynamically adjusted and controlled in a self-adaptive manner according to supervision evaluation results of different dimensions. The technical problems of poor wheat storage quality supervision implementation effect and poor autonomous regulation control effect caused by a single wheat storage quality supervision mode in the existing scheme are solved.

Description

Technical Field

[0001] The invention relates to the technical field of storage quality regulation, and in particular to a wheat storage quality supervision and regulation system. Background Art

[0002] Wheat storage quality supervision refers to the process of managing and supervising the quality and safety of wheat during the storage process from harvest to processing or consumption; this includes the entire process from warehousing, storage to delivery, ensuring that the wheat maintains good quality during the entire storage period, prevents problems such as mildew and insect pests, and complies with relevant food safety standards.

[0003] When implemented, the existing wheat storage quality supervision plan cannot adaptively implement quality storage status supervision and evaluation in different dimensions according to the storage duration of wheat and the corresponding basic sampling conditions, and cannot adaptively dynamically adjust and control wheat storage according to the supervision and evaluation results in different dimensions. There is a single wheat storage quality supervision method, which leads to poor implementation of wheat storage quality supervision and poor autonomous adjustment and control effects. Summary of the invention

[0004] The purpose of the present invention is to provide a wheat storage quality supervision and regulation system, which is used to solve the technical problems that the single wheat storage quality supervision mode in the existing scheme leads to poor implementation effect of wheat storage quality supervision and poor autonomous regulation and control effect.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] A wheat storage quality supervision and regulation system comprises a supervision and regulation platform, and a wheat storage quality multi-dimensional supervision processing and analysis module and a wheat storage quality multi-dimensional supervision evaluation and regulation module which are communicatively connected to the supervision and regulation platform;

[0007] The wheat storage quality multi-dimensional supervision processing and analysis module is used to implement quality inspection on wheat before storage, obtain the corresponding quality inspection standard table, implement quality storage status supervision and evaluation of wheat after storage in different dimensions according to the quality inspection standard table, obtain the local supervision set of quality storage status corresponding to different sampling inspection points at different inspection timestamps and upload it to the supervision and adjustment platform in real time;

[0008] Among them, data analysis is performed on the storage duration corresponding to the storage of wheat, and the corresponding conventional sampling plan or special sampling plan is controlled according to the analysis results;

[0009] According to the conventional sampling inspection plan or the special sampling inspection plan, a number of corresponding detection timestamps and a number of sampling inspection points are obtained, and data analysis is performed on the local quality inspection states corresponding to different sampling inspection points at different detection timestamps to obtain the local quality inspection index identification sequence corresponding to different sampling inspection points at different detection timestamps;

[0010] Perform data analysis on the local quality detection indicator sequence to determine the local quality detection status of the sampling inspection point at the corresponding detection timestamp, and obtain the local quality detection status of the sampling inspection point at the corresponding detection timestamp as normal and a local quality detection status identifier of -1, or the local quality detection status as abnormal and a local quality detection status identifier of -2;

[0011] The local quality detection index identification sequences and local quality detection status identifiers obtained by processing in different dimensions are sorted and combined to obtain the local supervision set of the quality storage status of the corresponding sampling detection point at the corresponding detection timestamp;

[0012] The multi-dimensional supervision, evaluation and adjustment module for wheat storage quality is used to conduct multi-dimensional supervision and evaluation on the local supervision set of quality storage status at different sampling inspection points in the storage wheat sampling scheme at different inspection timestamps, and to adaptively and dynamically adjust and control the storage of stored wheat according to the supervision and evaluation results of different dimensions.

[0013] Preferably, the wheat to be stored is tested for several corresponding quality test indicators through a preset quality test table, and the test results of different quality test indicators are filled into corresponding positions in the quality test table to obtain a quality test standard table;

[0014] Obtain the storage time point corresponding to the wheat storage, and calculate the storage duration Tc between the real-time Beijing time point and the storage time point. When determining the sampling plan corresponding to the stored wheat according to the storage duration, perform data analysis on the storage duration through the storage duration identification function and output the corresponding storage duration identification BC;

[0015] The storage persistence flag contains a value of 0 or 1;

[0016] The storage duration indicator with a value of 0 indicates that the sampling plan for the corresponding stored wheat is the conventional sampling plan;

[0017] The storage continuity indicator with a value of 1 indicates that the sampling plan for the corresponding stored wheat is a special sampling plan;

[0018] According to the storage continuity mark of 0 or 1 obtained through processing, the corresponding conventional sampling plan or special sampling plan is implemented for the storage wheat regulation and control.

[0019] Preferably, the expression of the storage continuous identification function is ; Where Tb is the storage sampling classification value.

[0020] Preferably, a number of corresponding detection timestamps and a number of random inspection points are obtained according to a conventional random inspection scheme or a special random inspection scheme, and a number of quality inspection indicators corresponding to the number of random inspection points of the stored wheat are inspected according to the number of detection timestamps, and the inspection results of different quality inspection indicators are sorted and combined in the order of the inspection numbers to obtain a local quality inspection indicator sequence of the corresponding random inspection points at the corresponding detection timestamps;

[0021] When performing data analysis on the local quality detection states corresponding to different detection timestamps at different sampling detection points, the detection results of different quality detection indicators in the local quality detection indicator sequence corresponding to different detection timestamps are sequentially input into the storage quality detection identification function for data analysis, and the quality detection identifiers BJi corresponding to the different quality detection indicators in the local quality detection indicator sequence are output; i is the different quality detection indicators in the local quality detection indicator sequence, i=1, 2, 3, ..., n; n is a positive integer;

[0022] The quality inspection flag contains a value of 0 or 1;

[0023] A quality inspection indicator with a value of 0 indicates that the indicator quality inspection status of the corresponding quality inspection indicator is normal;

[0024] A quality inspection indicator with a value of 1 indicates that the indicator quality inspection status of the corresponding quality inspection indicator is abnormal;

[0025] The quality detection identifiers obtained by processing corresponding to different quality detection indicators in the local quality detection indicator sequence are sorted and combined in the order of detection numbers to obtain a local quality detection indicator identification sequence corresponding to the local quality detection indicator sequence.

[0026] Preferably, the expression of the storage quality detection identification function is: ; In the formula, JCi is the test results of different quality detection indicators in the local quality detection indicator sequence; JC0i is the standard test results corresponding to different quality detection indicators in the local quality detection indicator sequence; Ui is the standard error range corresponding to different quality detection indicators in the local quality detection indicator sequence.

[0027] Preferably, data analysis is performed on the local quality detection indicator sequence to determine the local quality detection status of the corresponding sampling detection point at the corresponding detection timestamp;

[0028] like , NY and NZ are the total number of elements with a value of 1 and the total number of elements with a value of 0 in the local quality detection index identification sequence, respectively; A is the local quality status standard value; If it is a rounding function, the local quality detection status of the corresponding detection timestamp of the corresponding sampling detection point is marked as normal, and the corresponding local quality detection status flag is set to -1;

[0029] like , the local quality detection status of the corresponding detection timestamp of the corresponding sampling detection point is marked as abnormal, and the corresponding local quality detection status flag is set to -2.

[0030] Preferably, when conducting supervision evaluation on the local storage quality dimension of the local supervision set of the quality storage status of different sampling inspection points at different inspection timestamps in the storage wheat sampling scheme, the local quality inspection status identifiers corresponding to different sampling inspection points at different inspection timestamps are obtained and analyzed;

[0031] If the local quality inspection status is marked as -1, the storage of wheat will be adjusted to maintain the existing sampling plan;

[0032] If the local quality inspection status is marked as -2, the storage wheat will be adjusted and controlled to implement the random inspection and verification plan.

[0033] Preferably, several verification and inspection points corresponding to the random inspection and verification plan are obtained, and the corresponding several verification quality inspection index tests are respectively implemented on the several verification and inspection points, and the test results of the several verification quality inspection indicators corresponding to the several verification and inspection points are sorted and combined respectively to obtain a local verification quality inspection index sequence corresponding to different verification and inspection points.

[0034] Preferably, the test results of different verification quality detection indicators in the local verification quality detection indicator sequence corresponding to different verification detection points are sequentially input into the storage quality detection identification function for data analysis, and the verification quality detection identifiers corresponding to the different verification quality detection indicators in the local verification quality detection indicator sequence are output;

[0035] If the verification quality inspection mark is 0, the corresponding verification quality inspection index is marked as a normal verification quality inspection index, and the first storage quality adjustment and control plan is implemented;

[0036] If the verification instruction detection flag is 1, the corresponding verification quality detection index will be marked as an abnormal verification quality detection index, and the second storage quality adjustment control plan will be implemented.

[0037] Compared with the existing solutions, the present invention achieves the following beneficial effects:

[0038] The present invention implements quality storage status supervision and evaluation of wheat after storage in different dimensions, and obtains local supervision sets of quality storage status at different sampling inspection points at different inspection timestamps. According to the local supervision sets of quality storage status, not only can the quality storage status of stored wheat at different sampling inspection points and different inspection timestamps be obtained, but also reliable quality storage status supervision data support can be provided for subsequent dynamic regulation and control of stored wheat, thereby improving the diversity and comprehensiveness of the implementation of wheat storage quality supervision methods.

[0039] The present invention performs multi-dimensional supervision evaluation on the local supervision set of quality storage status of different sampling inspection points in the storage wheat sampling plan at different inspection timestamps, and adaptively performs dynamic adjustment and control on the storage of the stored wheat according to the supervision evaluation results of different dimensions, thereby realizing autonomous quality supervision analysis of the stored wheat in different modes and autonomous dynamic adjustment and control of the storage of the stored wheat, thereby improving the autonomous adjustment and control effect of the stored wheat. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The present invention will be further described below in conjunction with the accompanying drawings.

[0041] Figure 1 The present invention provides a module block diagram of a wheat storage quality supervision and regulation system.

[0042] Figure 2 The present invention is a flowchart of the implementation steps of a wheat storage quality supervision and regulation system.

[0043] Figure 3 A flowchart for conducting regulatory assessment of local storage quality dimensions in the present invention. DETAILED DESCRIPTION

[0044] 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.

[0045] like Figure 1 to Figure 2 As shown, the present invention is a wheat storage quality supervision and regulation system, comprising a supervision and regulation platform, and a wheat storage quality multi-dimensional supervision processing and analysis module and a wheat storage quality multi-dimensional supervision evaluation and regulation module which are communicatively connected to the supervision and regulation platform;

[0046] The wheat storage quality multi-dimensional supervision processing and analysis module is used to implement quality inspection on wheat before storage, obtain the corresponding quality inspection standard table, implement quality storage status supervision and evaluation of wheat after storage in different dimensions according to the quality inspection standard table, obtain the local supervision set of quality storage status corresponding to different sampling inspection points at different inspection timestamps and upload it to the supervision and adjustment platform in real time; including:

[0047] The wheat to be stored is tested for several corresponding quality test indicators through a preset quality test table, and the test results of different quality test indicators are filled into the corresponding positions in the quality test table to obtain a quality test standard table;

[0048] The preset quality inspection table includes a number of quality inspection indicators, which can be specifically determined according to the existing wheat storage quality inspection requirements;

[0049] Quality inspection indicators include but are not limited to moisture content, impurity ratio, breakage rate, pest and disease conditions, etc.;

[0050] Obtain the storage time point corresponding to the wheat storage, and calculate the storage duration Tc between the real-time Beijing time point and the storage time point. The units corresponding to the storage time point and the storage duration are both hours. When determining the sampling plan corresponding to the stored wheat according to the storage duration, the storage duration is analyzed through the storage duration identification function and the corresponding storage duration identification BC is output;

[0051] Among them, the expression of storage persistence recognition function is: ; Wherein, Tb is the storage sampling classification value, which is determined based on the existing wheat storage quality requirement data, or can be determined based on the median value of all storage durations corresponding to abnormal wheat storage quality in the past;

[0052] It should be noted that the storage duration mark is used to calculate and digitally represent the storage cycle status corresponding to the stored wheat;

[0053] The storage persistence flag contains a value of 0 or 1;

[0054] The storage duration indicator with a value of 0 indicates that the sampling plan for the corresponding stored wheat is the conventional sampling plan;

[0055] The storage continuity indicator with a value of 1 indicates that the sampling plan for the corresponding stored wheat is a special sampling plan;

[0056] According to the storage continuity mark of 0 or 1 obtained by processing, a corresponding conventional sampling plan or a special sampling plan is implemented for the storage wheat regulation control;

[0057] Among them, the special sampling plan implements more sampling inspections than the regular sampling plan. Specifically, the sampling inspection frequency of the special sampling plan is 1.5 times that of the regular sampling plan;

[0058] The difference is that the prior art scheme cannot dynamically and adaptively implement a targeted sampling scheme according to the storage cycle status of the stored wheat, resulting in a poor autonomous adjustment effect of the stored wheat quality sampling; in the embodiment of the present invention, by performing data calculation and analysis on the storage cycle status corresponding to the stored wheat, and adaptively performing dynamic adjustment and control on the sampling scheme of the stored wheat according to the analysis result, the targetedness and reliability of the implementation of the sampling scheme are improved, thereby effectively improving the reliability and adaptability of the stored wheat quality detection.

[0059] According to the conventional sampling plan or the special sampling plan, a number of corresponding detection timestamps and a number of sampling detection points are obtained, and a number of corresponding quality detection indicators are detected at the number of sampling detection points of the stored wheat according to the number of detection timestamps, and the detection results of different quality detection indicators are sorted and combined in the order of the detection numbers. The detection numbers can be customized according to the actual application scenarios, and the local quality detection indicator sequence of the corresponding sampling detection points at the corresponding detection timestamps is obtained;

[0060] When performing data analysis on the local quality detection states corresponding to different detection timestamps at different sampling detection points, the detection results of different quality detection indicators in the local quality detection indicator sequence corresponding to different detection timestamps at different sampling detection points are sequentially input into the storage quality detection identification function for data analysis, and the quality detection identifiers BJi corresponding to the different quality detection indicators in the local quality detection indicator sequence are output; i is a different quality detection indicator in the local quality detection indicator sequence, i=1, 2, 3, ..., n; n is a positive integer, which represents the total number of all quality detection indicators;

[0061] Among them, the expression of storage quality detection identification function is: ; In the formula, JCi is the test results of different quality test indicators in the local quality test indicator sequence; JC0i is the standard test results corresponding to different quality test indicators in the local quality test indicator sequence, which is determined according to the quality test standard table obtained in the previous processing; Ui is the standard error range corresponding to different quality test indicators in the local quality test indicator sequence, which can be determined according to the existing storage wheat quality requirements;

[0062] It should be noted that the quality inspection mark is used to perform data calculation and digital representation of the quality inspection status of the corresponding sampling inspection point and the corresponding inspection timestamp of the corresponding quality inspection indicator;

[0063] The quality inspection flag contains a value of 0 or 1;

[0064] A quality inspection indicator with a value of 0 indicates that the indicator quality inspection status of the corresponding quality inspection indicator is normal;

[0065] A quality inspection indicator with a value of 1 indicates that the indicator quality inspection status of the corresponding quality inspection indicator is abnormal;

[0066] The quality detection identifiers obtained by processing different quality detection indicators in the local quality detection indicator sequence are sorted and combined in the order of detection numbers to obtain a local quality detection indicator identification sequence corresponding to the local quality detection indicator sequence;

[0067] In an embodiment of the present invention, by performing data calculation and digital representation on the local quality detection states corresponding to different random inspection points at different detection timestamps, status data corresponding to different quality detection indicators at different random inspection points and different detection timestamps are obtained, and reliable local quality detection indicator data support can also be provided for subsequent local quality detection state analysis of different random inspection points at different detection timestamps.

[0068] Perform data analysis on the local quality detection indicator sequence to determine the local quality detection status of the corresponding sampling detection point at the corresponding detection timestamp;

[0069] like , NY and NZ are the total number of elements with a value of 1 and the total number of elements with a value of 0 in the local quality detection index identification sequence, respectively; A is the local quality status standard value, which can be determined according to the existing storage wheat quality requirements; If it is a rounding function, the local quality detection status of the corresponding detection timestamp of the corresponding sampling detection point is marked as normal, and the corresponding local quality detection status flag is set to -1;

[0070] like , then the local quality detection status of the corresponding detection timestamp of the corresponding sampling detection point is marked as abnormal, and the corresponding local quality detection status flag is set to -2;

[0071] The local quality detection index identification sequences and local quality detection status identifiers obtained by processing in different dimensions are sorted and combined to obtain the local supervision set of the quality storage status of the sampling inspection point at the corresponding inspection timestamp.

[0072] In the embodiment of the present invention, by implementing quality storage status supervision and evaluation of different dimensions on the stored wheat, a local supervision set of quality storage status at different sampling inspection points at different inspection timestamps is obtained. According to the local supervision set of quality storage status, the quality storage status of the stored wheat at different sampling inspection points and different inspection timestamps can be obtained, and reliable quality storage status supervision data support can be provided for the subsequent dynamic storage adjustment and control of the stored wheat, thereby improving the diversity and comprehensiveness of the implementation of wheat storage quality supervision methods.

[0073] The multi-dimensional supervision, evaluation and adjustment module of wheat storage quality is used to conduct multi-dimensional supervision and evaluation on the local supervision set of quality storage status at different sampling inspection points of the storage wheat sampling plan at different inspection time stamps, and adaptively and dynamically adjust and control the storage of stored wheat according to the supervision and evaluation results of different dimensions; including:

[0074] like Figure 3 As shown, when the local supervision set of the quality storage status of different sampling inspection points at different inspection timestamps of the storage wheat sampling scheme is subjected to the supervision evaluation of the local storage quality dimension, the local quality inspection status identifiers corresponding to different sampling inspection points at different inspection timestamps are obtained and analyzed;

[0075] If the local quality inspection status is marked as -1, the storage of wheat will be adjusted to maintain the existing sampling plan;

[0076] If the local quality inspection status is marked as -2, the storage wheat is adjusted and controlled to implement the sampling inspection and verification plan. It can be understood that when the local quality inspection status is marked as -2, it means that the local quality inspection status of the corresponding sampling inspection point at the inspection timestamp is abnormal, and a targeted sampling inspection and verification plan needs to be implemented. By implementing the sampling inspection and verification plan, a more comprehensive detection and evaluation of the abnormal local quality inspection status can be achieved;

[0077] Obtain several verification and inspection points corresponding to the sampling and inspection plan, and respectively implement the corresponding several verification quality inspection indicators on the several verification and inspection points, and sort and combine the inspection results of the several verification quality inspection indicators corresponding to the several verification and inspection points to obtain the local verification quality inspection indicator sequence corresponding to different verification and inspection points; the several verification and inspection points included in the sampling and inspection plan can be flexibly set according to all abnormal location data that have appeared in history;

[0078] And, the test results of different verification quality detection indicators in the local verification quality detection indicator sequence corresponding to different verification detection points are sequentially input into the storage quality detection identification function for data analysis, and the verification quality detection identifiers corresponding to the different verification quality detection indicators in the local verification quality detection indicator sequence are output;

[0079] If the verification quality inspection mark is 0, the corresponding verification quality inspection index is marked as a normal verification quality inspection index, and the first storage quality adjustment and control plan is implemented;

[0080] If the verification instruction detection flag is 1, the corresponding verification quality detection index is marked as an abnormal verification quality detection index, and the second storage quality adjustment control plan is implemented;

[0081] Among them, the first storage quality adjustment and control scheme may specifically implement storage quality control on the sampling inspection point to which the local quality inspection status mark of -2 belongs;

[0082] The second storage quality adjustment and control plan may specifically implement storage quality control on the entire stored wheat; the storage quality control may specifically include adjusting storage environment parameters, physically isolating the stored wheat, performing insect and mildew prevention treatment, etc.;

[0083] In the embodiment of the present invention, a multi-dimensional supervision evaluation is performed on the local supervision set of the quality storage status of different sampling inspection points in the storage wheat sampling plan at different inspection timestamps, and the storage of the stored wheat is adaptively and dynamically adjusted and controlled according to the supervision evaluation results of different dimensions, thereby realizing autonomous quality supervision analysis of the stored wheat in different modes and autonomous dynamic adjustment and control of the storage of the stored wheat, thereby improving the autonomous adjustment and control effect of the stored wheat.

[0084] In addition, the formulas involved in the above are all dimensionless and numerical calculations. They are a formula that is closest to the actual situation obtained by collecting a large amount of data and simulating it with simulation software.

[0085] In the several embodiments provided by the present invention, it should be understood that the disclosed system can be implemented in other ways. For example, the above-described embodiments of the invention are only illustrative, for example, the division of modules is only a logical function division, and there may be other division methods in actual implementation.

[0086] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, and may be located in one place or distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0087] In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0088] It is obvious to a person skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the essential characteristics of the present invention.

[0089] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A wheat storage quality supervision and regulation system, characterized in that: It includes a supervision and regulation platform, and a wheat storage quality multi-dimensional supervision processing and analysis module and a wheat storage quality multi-dimensional supervision evaluation and regulation module which are connected to the supervision and regulation platform in communication; The wheat storage quality multi-dimensional supervision processing and analysis module is used to implement quality inspection on wheat before storage, obtain the corresponding quality inspection standard table, implement quality storage status supervision and evaluation of wheat after storage in different dimensions according to the quality inspection standard table, obtain the local supervision set of quality storage status corresponding to different sampling inspection points at different inspection timestamps and upload it to the supervision and adjustment platform in real time; Among them, data analysis is performed on the storage duration corresponding to the storage of wheat, and the corresponding conventional sampling plan or special sampling plan is controlled according to the analysis results; According to the conventional sampling inspection plan or the special sampling inspection plan, a number of corresponding detection timestamps and a number of sampling inspection points are obtained, and data analysis is performed on the local quality inspection states corresponding to different sampling inspection points at different detection timestamps to obtain the local quality inspection index identification sequence corresponding to different sampling inspection points at different detection timestamps; Perform data analysis on the local quality detection indicator sequence to determine the local quality detection status of the sampling inspection point at the corresponding detection timestamp, and obtain the local quality detection status of the sampling inspection point at the corresponding detection timestamp as normal and a local quality detection status identifier of -1, or the local quality detection status as abnormal and a local quality detection status identifier of -2; The local quality detection index identification sequences and local quality detection status identifiers obtained by processing in different dimensions are sorted and combined to obtain the local supervision set of the quality storage status of the corresponding sampling detection point at the corresponding detection timestamp; The multi-dimensional supervision, evaluation and adjustment module for wheat storage quality is used to conduct multi-dimensional supervision and evaluation on the local supervision set of quality storage status at different sampling inspection points in the storage wheat sampling scheme at different inspection timestamps, and to adaptively and dynamically adjust and control the storage of stored wheat according to the supervision and evaluation results of different dimensions.

2. A wheat storage quality supervision and regulation system according to claim 1, characterized in that: The wheat to be stored is tested for several corresponding quality test indicators through a preset quality test table, and the test results of different quality test indicators are filled into the corresponding positions in the quality test table to obtain a quality test standard table; Obtain the storage time point corresponding to the wheat storage, and calculate the storage duration Tc between the real-time Beijing time point and the storage time point. When determining the sampling plan corresponding to the stored wheat according to the storage duration, perform data analysis on the storage duration through the storage duration identification function and output the corresponding storage duration identification BC; The storage persistence flag contains a value of 0 or 1; The storage duration indicator with a value of 0 indicates that the sampling plan for the corresponding stored wheat is the conventional sampling plan; The storage continuity indicator with a value of 1 indicates that the sampling plan for the corresponding stored wheat is a special sampling plan; According to the storage continuity mark of 0 or 1 obtained through processing, the corresponding conventional sampling plan or special sampling plan is implemented for the storage wheat regulation and control.

3. A wheat storage quality supervision and regulation system according to claim 2, characterized in that: The expression of storage persistence recognition function is ; Where Tb is the storage sampling classification value.

4. A wheat storage quality supervision and regulation system according to claim 2, characterized in that: According to the conventional sampling inspection plan or the special sampling inspection plan, a number of corresponding detection timestamps and a number of sampling inspection points are obtained, and according to the number of detection timestamps, a number of corresponding quality inspection indicators are tested on the number of sampling inspection points of the stored wheat, and the test results of different quality inspection indicators are sorted and combined in the order of the test numbers to obtain the local quality inspection indicator sequence of the corresponding sampling inspection point at the corresponding test timestamp; When performing data analysis on the local quality detection states corresponding to different detection timestamps at different sampling detection points, the detection results of different quality detection indicators in the local quality detection indicator sequence corresponding to different detection timestamps are sequentially input into the storage quality detection identification function for data analysis, and the quality detection identifiers BJi corresponding to the different quality detection indicators in the local quality detection indicator sequence are output; i is the different quality detection indicators in the local quality detection indicator sequence, i=1, 2, 3, ..., n; n is a positive integer; The quality inspection flag contains a value of 0 or 1; A quality inspection indicator with a value of 0 indicates that the indicator quality inspection status of the corresponding quality inspection indicator is normal; A quality inspection indicator with a value of 1 indicates that the indicator quality inspection status of the corresponding quality inspection indicator is abnormal; The quality detection identifiers obtained by processing corresponding to different quality detection indicators in the local quality detection indicator sequence are sorted and combined in the order of detection numbers to obtain a local quality detection indicator identification sequence corresponding to the local quality detection indicator sequence.

5. A wheat storage quality supervision and regulation system according to claim 4, characterized in that: The expression of storage quality detection identification function is: ; In the formula, JCi is the test results of different quality detection indicators in the local quality detection indicator sequence; JC0i is the standard test results corresponding to different quality detection indicators in the local quality detection indicator sequence; Ui is the standard error range corresponding to different quality detection indicators in the local quality detection indicator sequence.

6. A wheat storage quality supervision and regulation system according to claim 4, characterized in that: Perform data analysis on the local quality detection indicator sequence to determine the local quality detection status of the corresponding sampling detection point at the corresponding detection timestamp; like , NY and NZ are the total number of elements with a value of 1 and the total number of elements with a value of 0 in the local quality detection index identification sequence, respectively; A is the local quality status standard value; If it is a rounding function, the local quality detection status of the corresponding detection timestamp of the corresponding sampling detection point is marked as normal, and the corresponding local quality detection status flag is set to -1; like , the local quality detection status of the corresponding detection timestamp of the corresponding sampling detection point is marked as abnormal, and the corresponding local quality detection status flag is set to -2.

7. A wheat storage quality supervision and regulation system according to claim 6, characterized in that: When conducting supervision evaluation on the local storage quality dimension of the local supervision set of the quality storage status of different sampling inspection points at different inspection time stamps in the storage wheat sampling plan, obtain and analyze the local quality inspection status identifiers corresponding to different sampling inspection points at different inspection time stamps; If the local quality inspection status is marked as -1, the storage of wheat will be adjusted to maintain the existing sampling plan; If the local quality inspection status is marked as -2, the storage wheat will be adjusted and controlled to implement the random inspection and verification plan.

8. A wheat storage quality supervision and regulation system according to claim 7, characterized in that: Acquire several verification and testing points corresponding to the random inspection and verification plan, and respectively implement the corresponding several verification quality inspection index tests on the several verification and testing points, and sort and combine the test results of the several verification quality inspection indexes corresponding to the several verification and testing points, so as to obtain the local verification quality inspection index sequence corresponding to different verification and testing points.

9. A wheat storage quality supervision and regulation system according to claim 8, characterized in that: The test results of different verification quality detection indicators in the local verification quality detection indicator sequence corresponding to different verification detection points are sequentially input into the storage quality detection identification function for data analysis, and the verification quality detection identifiers corresponding to the different verification quality detection indicators in the local verification quality detection indicator sequence are output; If the verification quality inspection mark is 0, the corresponding verification quality inspection index is marked as a normal verification quality inspection index, and the first storage quality adjustment and control plan is implemented; If the verification instruction detection flag is 1, the corresponding verification quality detection index will be marked as an abnormal verification quality detection index, and the second storage quality adjustment control plan will be implemented.

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