A cotton supervision and traceability method and device based on multi-source data

Abstract

The application relates to the technical field of data monitoring, in particular to a cotton supervision and traceability method and device based on multi-source data, which can judge the traceability track of to-be-traced cotton according to an initial traceability node and an end traceability node; whether the planting and processing steps of the to-be-traced cotton in the planting and processing process meet the conditions can be decided according to the evaluation value obtained by analyzing the to-be-traced cotton according to the multiple traceability nodes arranged in the traceability graph; when the to-be-traced cotton reaches the end traceability node, the data collected in the planting and processing process of the to-be-traced cotton, the decision result and the corresponding instruction are sequentially uploaded to a cloud storage platform, and the planting and processing track of the to-be-traced cotton can be judged according to the uploaded data when the to-be-traced cotton is planted and processed next time. The application can accurately extract the correlation between the quality of cotton planting and processing, monitor the cotton ecology and properties by means of multi-source data, and solve the problem of traceability matching of cotton planting and processing.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of data monitoring, in particular to a cotton supervision and traceability method and device based on multi-source data. BACKGROUND

[0002] At present, the judgment of the health status and processing compliance of cotton in cotton planting is usually completed by experienced personnel relying on visual inspection or simple instrument assisted manual operation. The problem of manual monitoring mainly lies in the difficulty of long time continuous monitoring, and the judgment of the health status and processing compliance of cotton is closely related to the experience and responsibility of personnel. The professional skill requirement of cotton planting personnel is high, which is not conducive to the fine management and development of cotton planting industry.

[0003] Intelligent monitoring, information management and remote monitoring technologies based on computer technology and sensing technology provide effective means for quantitative collection, processing fusion and intelligent management and control of breeding environment data. However, in the existing technology, cotton planting data and processing data are lack of integrated analysis, the correlation between cotton planting quality and processing quality cannot be accurately extracted, the cotton ecology and cotton traits cannot be monitored by relying on multi-source data, and the problem of traceability matching of cotton planting and processing cannot be solved. SUMMARY

[0004] To achieve the above-mentioned purpose, the present application provides the following technical scheme:

[0005] According to the first aspect of the present application, the present application claims a cotton supervision and traceability method based on multi-source data, comprising:

[0006] Step A001, the traceability correction module takes the finished product data as the traceability end node and takes the stage where the to-be-traced cotton is located as the traceability initial node, and the traceability correction module judges the traceability track of the to-be-traced cotton according to the traceability initial node and the traceability end node;

[0007] Step A002, the evaluation value obtained by the traceability node analysis module during the planting and processing of the to-be-traced cotton is sent to the traceability evaluation module according to the plurality of traceability nodes deployed in the traceability graph, and the traceability evaluation module decides whether the planting and processing process of the to-be-traced cotton meets the conditions of the planting and processing steps in the traceability graph according to the evaluation value collected in the traceability graph;

[0008] Step A003, when the traceability evaluation module decides that the planting and processing process of the to-be-traced cotton does not meet the conditions of the planting and processing steps in the traceability graph, the traceability evaluation module decides whether the traceability of the planting and processing process is hindered by pollution according to the input image of the to-be-traced cotton collected by the image recognition module, or judges the type of the planting and processing process of the to-be-traced cotton that does not meet the conditions of the planting and processing steps according to the collected evaluation value;

[0009] Step A004, when the traceability evaluation module completes the judgment on the type of the planting and processing steps of the planting and processing process that do not meet the conditions of the traceability graph, it synchronizes the grade-planting and processing parameter correlation relationship of the traceable cotton according to the type of the judgment to decide whether to adjust the planting and processing track of the traceable cotton according to the synchronized curve, or correct the traceability frequency of the planting and processing process;

[0010] Step A005, after the traceability evaluation module completes the synchronization of the planting and processing track of the traceable cotton or the correction of the traceability frequency of the planting and processing process, it re-collects the traceability nodes in the traceability graph and repeats the steps A003 to A004 until the planting and processing process meets the conditions of the planting and processing steps in the traceability graph.

[0011] Step A006, when the traceable cotton reaches the traceability end node, the traceability evaluation module uploads the data collected in the traceable cotton planting and processing process, the decision results and the corresponding instructions to the cloud storage platform in sequence and completes the judgment on the planting and processing track of the traceable cotton according to the uploaded data when the traceable cotton is planted and processed next time.

[0012] Further, in the step A001, when the traceability correction module completes the fuzzy judgment on the planting and processing track of the traceable cotton, it receives the grade data of the traceable cotton collected by the grade statistics module and substitutes it into the grade-planting and processing parameter correlation relationship to judge the total track length of the traceable cotton that needs to be traced, and judges whether to synchronize the planting and processing track according to the difference between the actual planting and processing track length and the total track length when the collected total track length is less than the actual planting and processing track length of the traceable cotton, wherein the traceability correction module takes the obtained difference as the track difference:

[0013] If the track difference is not greater than the first threshold track difference deployed in the traceability correction module, the traceability correction module decides to optimize the endurance planting and processing parameters of the traceable cotton by reducing the traceability frequency of the planting and processing process, and the traceability correction module uses the first threshold condition weight to correct each threshold traceability node used to decide whether the planting and processing steps of the planting and processing process meet the conditions in the traceability graph.

[0014] If the track difference is greater than the first threshold track difference and not greater than the second threshold track difference deployed in the traceability correction module, the traceability correction module decides to optimize the endurance planting and processing parameters of the traceable cotton by reducing the traceability frequency of the planting and processing process, and the traceability correction module uses the second threshold condition weight to correct each threshold traceability node.

[0015] If the trajectory difference is greater than the second threshold trajectory difference, the trace correction module decides that the to-be-traced cotton cannot directly complete planting processing, and the trace correction module collects stage data of a plurality of transportation nodes with a straight-line distance from the trace initial node less than a threshold distance according to the total trajectory length and synchronizes the planting processing trajectory of the to-be-traced cotton according to each transportation node.

[0016] Further, the method in which the trace correction module synchronizes the planting processing trajectory of the to-be-traced cotton according to each transportation node comprises:

[0017] According to the total trajectory length, a plurality of transportation nodes with a straight-line distance from the trace initial node less than a threshold distance are collected, and a corresponding number of transportation nodes are selected according to a threshold proportion, and the selected transportation nodes are used as candidate transportation nodes;

[0018] The candidate transportation node closest to the trace initial node is selected as a passing point, and the planting processing trajectory of the to-be-traced cotton is rejudged according to the trace initial node, the passing point, and the trace end node.

[0019] Further, the grade-planting processing parameter correlation is as follows:

[0020] L=G×η×I / F

[0021] Wherein, L is the total trajectory length of the to-be-traced cotton that needs to be traced, G is the current grade of the to-be-traced cotton, η is the comprehensive finished product forming index of the to-be-traced cotton, including the index of forming as a cotton fabric for warmth and the index of forming as a planting processing process, I is the impurity rate of the to-be-traced cotton, and F is the comprehensive trace frequency of the to-be-traced cotton, F=F1+F2 is set, F1 is the trace frequency of the server in the to-be-traced cotton, and F2 is the trace frequency of the planting processing process in the to-be-traced cotton;

[0022] For the comprehensive finished product forming index η, it is collected by the following formula:

[0023] η=α×ηa+β×c / ηb

[0024] Wherein, α is the first index weight, set α=0.45, ηa is the index of the finished product forming of the to-be-traced cotton as a qualified product, β is the second index weight, set β=0.55, c is the planting processing step index conversion constant, c=1.45, and ηb is the forming index of the finished product forming of the to-be-traced cotton as a seed cotton of the planting processing process.

[0025] Further, in the step A002, the traceability evaluation module sequentially collects the average values of the traceability nodes analyzed by each traceability node in the corresponding time period, and draws a time-traceability node curve according to the average values collected in different time periods. The traceability evaluation module determines whether the planting and processing steps of the planting and processing process facing the traceability graph meet the conditions according to the absolute value of the difference between the average traceability nodes of the starting time period and the ending time period within the threshold period:

[0026] If the difference is not greater than the first threshold difference value deployed in the traceability evaluation module, the traceability evaluation module determines that the planting and processing steps of the planting and processing process facing the traceability graph meet the conditions, and continuously monitors the environment in the traceability graph according to the evaluation value collected;

[0027] If the difference is greater than the first threshold difference value and not greater than the second threshold difference value deployed in the traceability evaluation module, the traceability evaluation module makes a second decision on whether the planting and processing steps of the planting and processing process facing the traceability graph meet the conditions according to the fiber reflection data collected by the image recognition module within the threshold period;

[0028] If the difference is greater than the second threshold difference value, the traceability evaluation module determines that the planting and processing steps of the planting and processing process facing the traceability graph do not meet the conditions, and determines the type of the planting and processing steps of the planting and processing process facing the traceability graph that do not meet the conditions according to the evaluation value collected.

[0029] Further, the process of the traceability evaluation module making a second decision on whether the planting and processing steps of the planting and processing process facing the traceability graph meet the conditions includes:

[0030] The traceability evaluation module collects the fiber reflection data collected by the image recognition module in multiple time periods within the threshold period, and calculates the average stable quality of the cotton to be traced within the threshold period according to the collected fiber reflection values;

[0031] The traceability evaluation module makes a second decision on whether the planting and processing steps of the planting and processing process facing the traceability graph meet the conditions according to the collected average stable quality of the cotton;

[0032] If the average stable quality of the cotton is not greater than the threshold average value deployed in the traceability evaluation module, the traceability evaluation module makes a second decision that the planting and processing steps of the planting and processing process facing the traceability graph do not meet the conditions, and determines the type of the planting and processing steps of the planting and processing process facing the traceability graph that do not meet the conditions according to the evaluation value collected

[0033] If the average value of the stable quality of the cotton is greater than the average value of the threshold, the traceability evaluation module re-decides that the planting and processing environment of the cotton to be traced does not meet the conditions, and controls the trajectory module to re-judge the traceability trajectory of the cotton to be traced as pollution as the priority of the judgment.

[0034] Further, the traceability evaluation module performs derivation processing on the coordinates at each time period in the time-traceability node curve when deciding that the planting and processing steps of the planting and processing process facing the traceability graph do not meet the conditions, and takes the maximum value of the derived deviation value as a fitting deviation value. The traceability evaluation module determines the type of the planting and processing steps of the planting and processing process facing the traceability graph that do not meet the conditions according to the fitting deviation value, wherein:

[0035] If the fitting deviation value is greater than or equal to the threshold deviation value deployed in the traceability evaluation module, the traceability evaluation module decides that the type of the planting and processing steps of the planting and processing process facing the traceability graph that do not meet the conditions is that the traceability graph leaks, and the traceability evaluation module determines the traceability frequency of the planting and processing process according to the maximum value of the average traceability node obtained by the traceability node within the threshold period.

[0036] If the fitting deviation value is less than the threshold deviation value, the traceability evaluation module decides that the type of the planting and processing steps of the planting and processing process facing the traceability graph that do not meet the conditions is that the cotton to be traced is aging, the traceability evaluation module records the amount of raw materials of the cotton to be traced within the threshold period through the grade statistical module, and determines the comprehensive finished product forming index according to the collected raw material grade, the traceability evaluation module re-determines the total trajectory length of the cotton to be traced that needs to be traced according to the current grade according to the re-determined comprehensive finished product forming index, and re-determines the planting and processing trajectory of the cotton to be traced according to the collected total trajectory length.

[0037] Further, the traceability evaluation module takes the maximum value of the average traceability node obtained by the traceability node within the threshold period as a reference traceability node, and the traceability evaluation module has multiple correction methods for the traceability frequency of the planting and processing process according to the reference traceability node, and each correction method has a different correction amplitude for the traceability frequency of the planting and processing process.

[0038] Further, the traceability evaluation module has multiple correction methods for the comprehensive finished product forming index according to the amount of raw materials of the cotton to be traced within the threshold period recorded by the grade statistical module, and each correction method has a different correction amplitude for the comprehensive finished product forming index.

[0039] The traceability evaluation module reacquires the total track length of the cotton to be traced according to the modified comprehensive product forming index under the condition that the modification of the comprehensive product forming index is completed, and repeatedly executes step A001;

[0040] When the modification of the traceability frequency F2 facing the planting and processing process is completed, the traceability evaluation module sets a plurality of modification modes facing the threshold proportion according to the grade raw material amount of the cotton to be traced recorded by the grade statistical module in the threshold period, and the modification range of each modification mode facing the threshold proportion is different.

[0041] According to the second aspect of the present application, the present application claims to protect a cotton supervision traceability device based on multi-source data, comprising:

[0042] One or more processors;

[0043] A memory having one or more programs stored thereon, when the one or more programs are executed by the one or more processors, so that the one or more processors implement the one kind of cotton supervision traceability method based on multi-source data.

[0044] The present application relates to the technical field of data monitoring, in particular to a cotton supervision traceability method and device based on multi-source data, which determines the traceability track of the cotton to be traced according to the traceability initial node and the traceability end node; decides whether the planting and processing process of the cotton to be traced meets the conditions facing the planting and processing steps in the traceability graph according to the evaluation value obtained by analyzing the plurality of traceability nodes deployed in the traceability graph during the planting and processing of the cotton to be traced; uploads the data collected during the planting and processing of the cotton to be traced, the decision result and the corresponding instruction to the cloud storage platform in sequence when the cotton to be traced reaches the traceability end node, and determines the planting and processing track of the cotton to be traced according to the uploaded data when the cotton to be traced is planted and processed next time. The present application can accurately extract the correlation between cotton planting and processing quality, monitor the cotton ecology and traits by relying on multi-source data, and solve the problem of traceability matching of cotton planting and processing. BRIEF DESCRIPTION OF DRAWINGS

[0045] Figure 1 The structure diagram of the cotton supervision traceability device based on multi-source data claimed by the embodiments of the present application;

[0046] Figure 2 The work flow chart of the cotton supervision traceability method based on multi-source data claimed by the embodiments of the present application. DETAILED DESCRIPTION

[0047] With reference to the drawings and the embodiments of the present application, the technical solutions in the embodiments of the present application will be described clearly and completely. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. According to the embodiments of the present application, all other embodiments obtained by those skilled in the art without creative efforts belong to the scope of the present application.

[0048] The terms "first", "second", "third" in the present application are only for descriptive purpose, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined with "first", "second", "third" can explicitly or implicitly include at least one of the features. In the description of the present application, the meaning of "a plurality of" is at least two, such as two, three, etc., unless otherwise explicitly and specifically limited. All directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of the present application are only used to explain the relative positional relationship, movement condition, etc. between the components in a certain posture (as shown in the drawings), and if the certain posture changes, the directional indications also change accordingly. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device that includes a series of steps or modules is not limited to the listed steps or modules, but can optionally include steps or modules not listed, or can optionally include other steps or modules inherent to the process, method, product or device.

[0049] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present application. The phrase appears at various stages in the specification does not necessarily refer to the same embodiment, nor is it necessarily mutually exclusive or alternative to other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0050] Please refer to Figure 1 As shown in the structure diagram of a cotton supervision and traceability device based on multi-source data according to the present application, it comprises:

[0051] A traceability tracking module is arranged on the cotton to be traced, and is used to determine the stage of the cotton to be traced in real time;

[0052] A grade statistics module is connected to the cotton to be traced, and is used to detect and record the remaining grade of the cotton to be traced in real time;

[0053] a trace origin node output by the trace tracking module, to determine the planting and processing trace of the cotton to be traced; the trace correction module is further configured to determine whether to synchronize the planting and processing trace according to a transport node according to the grade data of the planting and processing process output by the grade statistical module, wherein the transport node is a finished product marked with a transport pile on a map by the trace correction module;

[0054] a trace node analysis module including a plurality of trace nodes deployed in the trace graph of the cotton to be traced to detect internal trace nodes of the trace graph;

[0055] an image recognition module deployed on the cotton to be traced to detect an input image of the cotton to be traced;

[0056] a trace evaluation module connected to the trace correction module, the trace node analysis module, and the image recognition module, configured to determine the state of the planting and processing step in the trace graph according to the evaluation value obtained by analyzing each first trace node during the warming process of the cotton to be traced, and to determine whether to adjust the planting and processing route according to the type of the state of the planting and processing step in the trace graph that does not meet the condition in the case that the state of the planting and processing step in the trace graph does not meet the condition; the trace evaluation module is further configured to re-determine the trace determination method of the cotton to be traced in the subsequent planting and processing process according to the type determined;

[0057] a cloud storage module connected to the trace evaluation module, configured to store various types of data and decision results received by the trace evaluation module, wherein the received data includes the remaining grade of the cotton to be traced analyzed by the grade statistical module, the trace nodes in the trace graph analyzed by each trace node, and the input image of the cotton to be traced analyzed by the image recognition module.

[0058] Please refer to Figure 2 as shown in the figure, which is a step flowchart of the cotton supervision trace method based on multi-source data of the application, the method includes:

[0059] Step A001, the trace correction module takes the finished product data as the trace end node and the stage of the cotton to be traced collected by the trace tracking module as the trace initial node, and the trace correction module determines the trace of the cotton to be traced according to the trace initial node and the trace end node;

[0060] Step A002, the traceability node analysis module analyzes the evaluation value obtained by the multiple traceability nodes deployed in the traceability graph during the planting and processing of the cotton to be traced, and sends the evaluation value to the traceability evaluation module. The traceability evaluation module decides whether the planting and processing steps in the cotton to be traced meet the conditions based on the evaluation value collected in the traceability graph.

[0061] Step A003, when the traceability evaluation module decides that the planting and processing steps in the cotton to be traced do not meet the conditions, it decides whether the traceability of the planting and processing process is hindered by pollution based on the input image of the cotton to be traced collected by the image recognition module, or determines the type of the planting and processing steps in the cotton to be traced that do not meet the conditions based on the collected evaluation value.

[0062] Step A004, when the traceability evaluation module completes the judgment of the type of the planting and processing steps in the cotton to be traced that do not meet the conditions, it synchronizes the grade-planting and processing parameter correlation relationship based on the type of the judgment, and decides whether to adjust the planting and processing trajectory of the cotton to be traced based on the synchronized curve, or corrects the traceability frequency of the planting and processing process.

[0063] Step A005, after the traceability evaluation module completes the synchronization of the planting and processing trajectory of the cotton to be traced or the correction of the traceability frequency of the planting and processing process, it re-collects the traceability nodes in the traceability graph and repeats steps A003 to A004 until the planting and processing steps in the cotton to be traced meet the conditions.

[0064] Step A006, when the cotton to be traced reaches the end of the traceability node, the traceability evaluation module uploads the data collected during the planting and processing of the cotton to be traced, the decision results and the corresponding instructions to the cloud storage platform in sequence, and completes the judgment of the planting and processing trajectory of the cotton to be traced based on the uploaded data when the cotton to be traced is planted and processed next time.

[0065] Specifically, in the step A001, the traceability correction module receives the grade data of the cotton to be traced collected by the grade statistics module and substitutes it into the grade-planting and processing parameter correlation relationship to determine the total trajectory length of the cotton to be traced that needs to be traced, and judges whether to synchronize the planting and processing trajectory based on the difference between the actual planting and processing trajectory length and the total trajectory length when the total trajectory length collected is less than the actual planting and processing trajectory length, wherein the traceability correction module takes the difference obtained as the trajectory difference:

[0066] If the trajectory difference is not greater than a first threshold trajectory difference deployed in the trace correction module, the trace correction module decides to optimize the endurance planting and processing parameters of the to-be-traced cotton by reducing the trace frequency of the planting and processing process, and the trace correction module uses a first threshold condition weight to correct each threshold trace node used to decide whether the planting and processing process meets the condition for each planting and processing step in the trace graph;

[0067] If the trajectory difference is greater than the first threshold trajectory difference and not greater than a second threshold trajectory difference deployed in the trace correction module, the trace correction module decides to optimize the endurance planting and processing parameters of the to-be-traced cotton by reducing the trace frequency of the planting and processing process, and the trace correction module uses a second threshold condition weight to correct each threshold trace node;

[0068] If the trajectory difference is greater than the second threshold trajectory difference, the trace correction module decides that the to-be-traced cotton cannot directly complete planting and processing, and the trace correction module collects stage data of multiple transportation nodes with a straight-line distance from the trace initial node less than a threshold distance according to the total trajectory length and synchronizes the planting and processing trajectory of the to-be-traced cotton according to each transportation node.

[0069] According to the actual situation of the total trajectory length and the actual planting and processing trajectory length of the to-be-traced cotton, the planting and processing trajectory, the trace frequency of the planting and processing process, and each threshold trace node are judged; when the total trajectory length collected is less than the actual planting and processing trajectory length of the to-be-traced cotton, the corresponding processing mode is judged according to the trajectory difference; when the trajectory difference is not greater than the first threshold trajectory difference, the current level of the to-be-traced cotton under the current heat preservation state is close to the stage distance from the trace end node, the trace frequency of the planting and processing process is slightly reduced to optimize the endurance planting and processing parameters, each threshold trace node is slightly adjusted, and after the trace frequency of the planting and processing process is reduced, the trace nodes in the trace graph are necessarily optimized. To ensure timely planting and processing, the conditions for the trace nodes are relatively relaxed, and each threshold trace node is slightly adjusted; when the trajectory difference is greater than the first threshold trajectory difference and not greater than the second threshold trajectory difference, the trace frequency of the planting and processing process is moderately adjusted, and each threshold trace node is moderately adjusted; when the trajectory difference is greater than the second threshold trajectory difference, the current level cannot support the completion of planting and processing, the planting and processing line is synchronized, the trajectory of the to-be-traced cotton is judged in real time, and the trace frequency of the planting and processing process is judged, thereby effectively improving the utilization rate of energy and the planting and processing index of logistics.

[0070] Specifically, the method for the trace correction module to synchronize the planting and processing trajectory of the to-be-traced cotton according to each transportation node includes:

[0071] According to the total track length, a plurality of the transport nodes with a straight-line distance less than a threshold distance from the traceable initial node are collected, and a corresponding number of transport nodes is screened according to a threshold proportion, and the screened transport nodes are taken as candidate transport nodes;

[0072] The candidate transport node closest to the traceable initial node is selected as a passing point, and the planting and processing track of the cotton to be traced is re-determined according to the traceable initial node, the passing point and the traceable end node.

[0073] It is provided that the threshold proportion is 0.2.

[0074] Specifically, the grade-planting and processing parameter correlation is as follows:

[0075] L=G×η×I / F

[0076] Wherein, L is the total track length of the cotton to be traced, G is the current grade of the cotton to be traced, η is the comprehensive finished product forming index of the cotton to be traced, I is the impurity rate of the cotton to be traced, and F is the comprehensive traceability frequency of the cotton to be traced, and it is provided that F=F1+F2, F1 is the traceability frequency of the server in the cotton to be traced, and F2 is the traceability frequency of the planting and processing process in the cotton to be traced.

[0077] For the comprehensive finished product forming index η, it is collected by the following formula:

[0078] η=α×ηa+β×c / ηb

[0079] Wherein, α is the first index weight, and it is provided that α=0.45, ηa is the index of the finished product forming of the cotton to be traced to be qualified products, β is the second index weight, and it is provided that β=0.55, c is the planting and processing step index conversion constant, c=1.45, and ηb is the forming index of the cotton to be traced to be seed cotton of the planting and processing process.

[0080] The total track length of the cotton to be traced is determined by the grade-planting and processing parameter correlation, ηb is between 1.5-5, so in order to form it into a constant between 0-1, c is deployed, ηa is between 0.75-0.85, and the total track length of the cotton to be traced is the product of the remaining grade, the comprehensive finished product forming index, the impurity rate of the cotton to be traced and the ratio of the comprehensive traceability frequency of the cotton to be traced; the comprehensive finished product forming index includes the index of forming into cotton textiles for warmth and the index of forming into the planting and processing process; the total track length is collected according to the actual situation of the cotton to be traced by formula calculation to determine the corresponding route selection in real time, and the planting and processing index is effectively improved by detailed track determination.

[0081] Specifically, in the step A002, the traceability evaluation module sequentially collects the average values of the traceability nodes analyzed by each traceability node in the corresponding time period, and draws a time-traceability node curve according to the average values collected in different time periods. The traceability evaluation module determines whether the planting and processing steps of the planting and processing process facing the traceability graph meet the conditions according to the absolute value of the difference between the average traceability nodes of the starting time period and the ending time period within the threshold period:

[0082] If the absolute value is not greater than the first threshold difference value deployed in the traceability evaluation module, the traceability evaluation module determines that the planting and processing steps of the planting and processing process facing the traceability graph meet the conditions, and continuously monitors the environment in the traceability graph according to the evaluation value collected;

[0083] If the absolute value is greater than the first threshold difference value and not greater than the second threshold difference value deployed in the traceability evaluation module, the traceability evaluation module makes a second decision on whether the planting and processing steps of the planting and processing process facing the traceability graph meet the conditions according to the fiber reflection data collected by the image recognition module within the threshold period;

[0084] If the absolute value is greater than the second threshold difference value, the traceability evaluation module determines that the planting and processing steps of the planting and processing process facing the traceability graph do not meet the conditions, and determines the type of the planting and processing steps of the planting and processing process facing the traceability graph that do not meet the conditions according to the evaluation value collected.

[0085] Specifically, the process of the traceability evaluation module making a second decision on whether the planting and processing steps of the planting and processing process facing the traceability graph meet the conditions includes:

[0086] The traceability evaluation module collects the fiber reflection data collected by the image recognition module in multiple time periods within the threshold period, and calculates the average stable quality of the cotton to be traced within the threshold period according to the collected fiber reflection values;

[0087] The traceability evaluation module makes a second decision on whether the planting and processing steps of the planting and processing process facing the traceability graph meet the conditions according to the collected average stable quality of the cotton;

[0088] If the average stable quality of the cotton is not greater than the threshold average value deployed in the traceability evaluation module, the traceability evaluation module makes a second decision that the planting and processing steps of the planting and processing process facing the traceability graph do not meet the conditions, and determines the type of the planting and processing steps of the planting and processing process facing the traceability graph that do not meet the conditions according to the evaluation value collected

[0089] If the average value of the stable quality of the cotton is greater than the threshold average value, the traceability evaluation module re-decides that the planting and processing environment of the to-be-traced cotton does not meet the conditions, and controls the trajectory module to re-judge the traceability trajectory of the to-be-traced cotton with pollution as the judgment priority.

[0090] When the difference is greater than the second threshold difference, the traceability node changes too much, the planting and processing steps in the traceability graph are abnormal, and further detailed judgment of the abnormal type is needed and corresponding processing means is taken; when the difference is greater than the first threshold difference and not greater than the second threshold difference, the specific situation of the collected fiber reflection value is collected, when the average value of the stable quality of the cotton is greater than the threshold average value, the warmth retention speed of the cotton fabric is unstable, which hinders the planting and processing steps in the planting and processing process, by replacing the planting and processing trajectory with better pollution, the situation of the grade raw material optimization caused by the frequent start and stop of the to-be-traced cotton can be avoided, so as to ensure the stable output of the to-be-traced cotton product, and the planting and processing process can be stably traced, the planting and processing route is adjusted according to the actual pollution, and the judgment index of the planting and processing is effectively improved.

[0091] Specifically, when the traceability evaluation module decides that the planting and processing process does not meet the conditions for the planting and processing steps in the traceability graph, the coordinates at each time period in the time-traceability node curve are differentiated, and the maximum value of the obtained deviation value is taken as the fitting deviation value, and the traceability evaluation module judges the type of the planting and processing process that does not meet the conditions for the planting and processing steps in the traceability graph according to the fitting deviation value, wherein:

[0092] If the fitting deviation value is greater than or equal to the threshold deviation value deployed in the traceability evaluation module, the traceability evaluation module decides that the type of the planting and processing process that does not meet the conditions for the planting and processing steps in the traceability graph is that the traceability graph leaks, and the traceability evaluation module judges the traceability frequency of the planting and processing process according to the maximum value of the average traceability node obtained by analyzing the traceability node in the threshold period;

[0093] If the fitting deviation value is less than the threshold deviation value, the traceability evaluation module decides that the type of the planting and processing process that does not meet the conditions for the planting and processing steps in the traceability graph is that the to-be-traced cotton is aging, the traceability evaluation module records the amount of grade raw material of the to-be-traced cotton in the threshold period through the grade statistics module, judges the comprehensive product forming index according to the collected grade of raw material, and the traceability evaluation module re-judges the total trajectory length of the to-be-traced cotton that needs to be traced according to the current grade according to the re-judged comprehensive product forming index, and re-judges the planting and processing trajectory of the to-be-traced cotton according to the collected total trajectory length.

[0094] It is set that the threshold deviation value is 0.7.

[0095] The collection threshold value, when the fitting deviation value is greater than or equal to the threshold deviation value, the traceability node changes greatly, in this case, the traceability frequency of the planting and processing process is first increased to find the repair point or transportation as soon as possible; when the fitting deviation value is less than the threshold deviation value, the traceability node gently rises, in this case, the type of planting and processing step that does not meet the condition is the aging of the to-be-traced cotton, and the total planting and processing parameters are re-judged by the traceability evaluation module; the total trajectory length is judged according to the actual situation of the to-be-traced cotton, which effectively improves the judgment index of planting and processing.

[0096] Specifically, the traceability evaluation module takes the maximum value of the average traceability node obtained by analyzing the traceability node in the threshold period as the reference traceability node, and modifies the traceability frequency F2 of the planting and processing process to the corresponding value according to the reference traceability node E. The traceability evaluation module is provided with a first threshold reference traceability node E1, a second threshold reference traceability node E2, a first threshold planting and processing step weight Y1, a second threshold planting and processing step weight Y2 and a third threshold planting and processing step weight Y3, wherein E1

[0097] If E≤E1, the traceability evaluation module uses the first threshold planting and processing step weight Y1 to modify the traceability frequency F2 of the planting and processing process to the corresponding value;

[0098] If E1

[0099] If E>E2, the traceability evaluation module uses the third threshold planting and processing step weight Y3 to modify the traceability frequency F2 of the planting and processing process to the corresponding value;

[0100] Under the condition that the trajectory difference is not greater than the first threshold trajectory difference, the traceability evaluation module uses the first threshold planting and processing step weight Y1 to modify the traceability frequency F2 of the planting and processing process to the corresponding value;

[0101] Under the condition that the trajectory difference is greater than the first threshold trajectory difference and not greater than the second threshold trajectory difference, the traceability evaluation module uses the second threshold planting and processing step weight Y2 to modify the traceability frequency F2 of the planting and processing process to the corresponding value;

[0102] The traceability evaluation module takes the traceability frequency of the planting and processing process modified by Ye as F2', wherein e=1, 2, 3, and F2' is set to F2xYe;

[0103] Specifically, the traceability evaluation module corrects the comprehensive product forming index η to a corresponding value according to the grade raw material amount N of the cotton to be traced recorded by the grade statistical module within a threshold period, and the traceability evaluation module is provided with a first threshold raw material amount N1, a second threshold raw material amount N2, a first threshold forming weight Q1, a second threshold forming weight Q2, and a third threshold forming weight Q3, wherein N1

[0104] If N≤N1, the traceability evaluation module corrects the comprehensive product forming index η to a corresponding value using the first threshold forming weight Q1;

[0105] If N1

[0106] If N>N2, the traceability evaluation module corrects the comprehensive product forming index η to a corresponding value using the third threshold forming weight Q3;

[0107] The traceability evaluation module takes the comprehensive product forming index η corrected using Qu as η', wherein u=1, 2, 3, and sets η'=η×Qu;

[0108] The traceability evaluation module re-collects the total track length of the cotton to be traced according to the corrected comprehensive product forming index η' under the condition that the correction of the comprehensive product forming index η is completed, and repeatedly executes step A001.

[0109] Specifically, when the correction of the traceability frequency F2 facing the planting and processing process is completed, the traceability evaluation module corrects the threshold proportion N to a corresponding value according to the grade raw material amount N of the cotton to be traced recorded by the grade statistical module within a threshold period, and the traceability evaluation module is provided with a third threshold raw material amount N3, a fourth threshold raw material amount N4, a first threshold proportion weight K1, and a second threshold proportion weight K2, wherein N3

[0110] If N≤N3, the traceability evaluation module continues to use the current threshold proportion N as the screening condition of the candidate transportation node;

[0111] If N3

[0112] If N>N4, the traceability evaluation module corrects the threshold proportion N to a corresponding value using the second threshold proportion weight K2;

[0113] The traceability evaluation module takes the threshold proportion corrected using Kq as N', wherein q=1, 2, 3, and sets N'=N×Kq.

[0114] The preferred embodiments of the present application will be described below with reference to the accompanying drawings. Those skilled in the art will appreciate that the embodiments are only used to explain the technical principles of the present application, and are not intended to limit the scope of protection of the present application.

[0115] According to another embodiment of the present application, the present application claims to protect a cotton supervision and traceability device based on multi-source data, comprising:

[0116] one or more processors;

[0117] a memory having one or more programs stored thereon, when the one or more programs are executed by the one or more processors, so that the one or more processors implement the one kind of cotton supervision and traceability method based on multi-source data.

[0118] Embodiments:

[0119] The traceability correction module determines the traceability trajectory of the cotton to be traced according to the traceability initial node and the traceability end node, determines that the straight line distance between the traceability initial node and the traceability end node is 25m (the distance between adjacent nodes is normalized to 1m), and the traceability correction module faces the traceability initial node and the determined traceability end node to determine that the actual planting and processing trajectory length of the cotton to be traced is 13m;

[0120] The traceability correction module receives the grade data of the cotton to be traced collected by the grade statistics module as 5 (50% excellent, 50% good), the impurity rate of the cotton to be traced is 25%, the traceability frequency of the server in the cotton to be traced is 2 (h / time), the traceability frequency of the planting and processing process in the cotton to be traced is 0.5 (h / time), and the comprehensive finished product forming index of the cotton to be traced is 7. The above parameters are substituted into the grade-planting and processing parameter correlation to obtain the total trajectory length of the cotton to be traced, which is 3.5m. The total trajectory length is less than the actual planting and processing trajectory length 13m, a candidate transportation node is selected, the candidate transportation node closest to the traceability initial node is selected as a passing point, and the planting and processing trajectory of the cotton to be traced is re-determined according to the traceability initial node, the passing point and the traceability end node.

[0121] According to the threshold proportion 0.2, the closest transportation node is selected as a candidate transportation node, and after rounding up, 4 transportation nodes are selected as candidate transportation nodes. The candidate transportation node closest to the traceability initial node is selected as a passing point, and the planting and processing trajectory of the cotton to be traced is re-determined according to the traceability initial node, the passing point and the traceability end node.

[0122] In several embodiments provided in the present application, it should be understood that the disclosed system, device and method can be implemented in other manners. For example, the division of the above-described device embodiment is only a logical function division, and there can be another division manner for the actual implementation, for example, multiple devices or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed mutual couplings or direct couplings or communication connections between different parts can be indirect couplings or communication connections through some interfaces, devices or modules, and can be in electrical, mechanical or other forms.

[0123] In addition, each function module in each embodiment of the present application can be integrated in a processing module, or each module can exist physically separately, or two or more modules can be integrated in one module. The above integrated module can be realized in the form of hardware, or in the form of a software function module. The above is only an embodiment of the present application, and does not limit the patent scope of the present application, and any equivalent structure or equivalent process transformation using the content of the present application specification and drawings, or direct or indirect application in other related technical fields, are also included in the patent protection scope of the present application.

[0124] The specific embodiments of the application are described in detail above, but they are only examples. The present application is not limited to the above-described specific embodiments. Any equivalent modification or substitution to the present application made by those skilled in the art is also within the scope of the present application, and therefore, any equivalent transformation and modification, improvement, etc. made without departing from the spirit and principle range of the present application should be included in the scope of the present application.

Claims

1. A cotton supervision and traceability method based on multi-source data, characterized in that, Comprising: Step A001, the traceability correction module takes the finished product data as the traceability end node and the stage of the traceable cotton collected by the traceability tracking module as the traceability initial node, and the traceability correction module fuzzy judges the traceability track of the traceable cotton according to the traceability initial node and the traceability end node; Step A002, the traceability node analysis module sends the evaluation value obtained by analyzing the plurality of traceability nodes deployed in the traceability graph during the planting and processing of the traceable cotton to the traceability evaluation module, and the traceability evaluation module decides whether the planting and processing process of the traceable cotton meets the conditions of the planting and processing steps in the traceability graph according to the collected evaluation value; Step A003, when the traceability evaluation module decides that the planting and processing process does not meet the conditions of the planting and processing steps in the traceability graph, it judges the type of the planting and processing process that does not meet the conditions of the planting and processing steps of the traceable cotton according to the collected evaluation value; Step A004, when the traceability evaluation module completes the judgment of the type of the planting and processing process that does not meet the conditions of the planting and processing steps in the traceability graph, it synchronizes the grade-planting and processing parameter correlation relationship of the traceable cotton according to the type of the judgment, and decides whether to adjust the planting and processing track of the traceable cotton or correct the traceability frequency of the planting and processing process according to the synchronized curve; Step A005, after the traceability evaluation module completes the synchronization of the planting and processing track of the traceable cotton or the correction of the traceability frequency of the planting and processing process, it re-collects the traceability nodes in the traceability graph and repeats the steps A003 to A004 until the planting and processing process meets the conditions of the planting and processing steps in the traceability graph; Step A006, when the traceable cotton reaches the traceability end node, the traceability evaluation module uploads the data collected during the planting and processing of the traceable cotton, the decision results and the corresponding instructions to the cloud storage platform in sequence, and completes the judgment of the planting and processing track of the traceable cotton according to the uploaded data when the traceable cotton is planted and processed next time.

2. The method for cotton regulation and traceability based on multi-source data according to claim 1, characterized in that, In the step A001, when the traceability correction module completes the fuzzy judgment of the planting and processing track of the traceable cotton, it receives the grade data of the traceable cotton collected by the grade statistics module and substitutes it into the grade-planting and processing parameter correlation relationship to judge the total track length of the traceable cotton that needs to be traced, and when the total track length collected is less than the actual planting and processing track length of the traceable cotton, it judges whether to synchronize the planting and processing track according to the difference between the actual planting and processing track length and the total track length, wherein the traceability correction module takes the difference obtained as the track difference: If the trajectory difference is not greater than a first threshold trajectory difference deployed in the trace correction module, the trace correction module decides to optimize the endurance planting and processing parameters of the to-be-traced cotton by reducing the trace frequency of the planting and processing process, and the trace correction module uses a first threshold condition weight to correct each threshold trace node used to decide whether the planting and processing process meets the condition for each planting and processing step in the trace graph; If the trajectory difference is greater than the first threshold trajectory difference and not greater than a second threshold trajectory difference deployed in the trace correction module, the trace correction module decides to optimize the endurance planting and processing parameters of the to-be-traced cotton by reducing the trace frequency of the planting and processing process, and the trace correction module uses a second threshold condition weight to correct each threshold trace node; If the trajectory difference is greater than the second threshold trajectory difference, the trace correction module decides that the to-be-traced cotton cannot directly complete planting and processing, and the trace correction module collects stage data of multiple transportation nodes with a straight-line distance from the trace initial node less than a threshold distance according to the total trajectory length and synchronizes the planting and processing trajectory of the to-be-traced cotton according to each transportation node.

3. The method for cotton regulation and traceability based on multi-source data according to claim 2, characterized in that, The method for the trace correction module to synchronize the planting and processing trajectory of the to-be-traced cotton according to each transportation node includes: Collecting multiple transportation nodes with a straight-line distance from the trace initial node less than a threshold distance according to the total trajectory length, and selecting a corresponding number of transportation nodes according to a threshold proportion, and taking the selected transportation nodes as candidate transportation nodes; Selecting the candidate transportation node closest to the trace initial node as a passing point, and re-judging the planting and processing trajectory of the to-be-traced cotton according to the trace initial node, the passing point, and the trace end node.

4. The method as claimed in claim 3, wherein, The grade-planting and processing parameter correlation is as follows: L=G×η×I / F Where L is the total trajectory length of the to-be-traced cotton that needs to be traced, G is the current grade of the to-be-traced cotton, η is the comprehensive finished product forming index of the to-be-traced cotton, including the index of forming as a cotton textile for warmth and the index of forming as a planting and processing process, I is the impurity rate of the to-be-traced cotton, and F is the comprehensive trace frequency of the to-be-traced cotton, with F=F1+F2, F1 being the trace frequency of the server in the to-be-traced cotton, and F2 being the trace frequency of the planting and processing process in the to-be-traced cotton; For the comprehensive finished product forming index η, it is collected by: η=α×ηa+β×c / ηb Where α is a first index weight, with α=0.45, ηa is the index of the to-be-traced cotton finished product forming as a qualified product, β is a second index weight, with β=0.55, c is a planting and processing step index conversion constant, c=1.45, and ηb is the forming index of the to-be-traced cotton finished product forming as seed cotton in the planting and processing process.

5. The method for cotton regulation and traceability based on multi-source data according to claim 4, characterized in that, In the step A002, the traceability evaluation module sequentially collects the average values of the traceability nodes analyzed by each traceability node in the corresponding time period, and draws a time-traceability node curve according to the average values collected in different time periods. The traceability evaluation module determines whether the planting and processing step of the planting and processing process facing the traceability graph meets the condition according to the absolute value of the difference between the average traceability node of the starting time period and the average traceability node of the ending time period in the threshold period: If the difference is not greater than the first threshold difference value deployed in the traceability evaluation module, the traceability evaluation module determines that the planting and processing step of the planting and processing process facing the traceability graph meets the condition, and continuously monitors the environment in the traceability graph according to the evaluation value collected; If the difference is greater than the first threshold difference value and not greater than the second threshold difference value deployed in the traceability evaluation module, the traceability evaluation module makes a second decision on whether the planting and processing step of the planting and processing process facing the traceability graph meets the condition according to the fiber reflection data collected by the image recognition module in the threshold period; If the difference is greater than the second threshold difference value, the traceability evaluation module determines that the planting and processing step of the planting and processing process facing the traceability graph does not meet the condition, and judges the type of the planting and processing step of the planting and processing process facing the traceability graph that does not meet the condition according to the evaluation value collected.

6. The method for cotton regulation and traceability based on multi-source data according to claim 5, wherein, The process of the traceability evaluation module making a second decision on the planting and processing step of the planting and processing process facing the traceability graph that meets the condition includes: The traceability evaluation module collects the fiber reflection data collected by the image recognition module in multiple time periods in the threshold period, and calculates the average stable quality value of the cotton to be traced in the threshold period according to the collected fiber reflection value; The traceability evaluation module makes a second decision on the planting and processing step of the planting and processing process facing the traceability graph that meets the condition according to the collected average stable quality value of the cotton; If the average stable quality value of the cotton is not greater than the threshold average value deployed in the traceability evaluation module, the traceability evaluation module makes a second decision that the planting and processing step of the planting and processing process facing the traceability graph does not meet the condition, and judges the type of the planting and processing step of the planting and processing process facing the traceability graph that does not meet the condition according to the evaluation value collected; If the average stable quality value of the cotton is greater than the threshold average value, the traceability evaluation module makes a second decision that the planting and processing environment of the cotton to be traced does not meet the condition, and controls the trajectory module to rejudge the traceability trajectory of the cotton to be traced with pollution as the priority.

7. The method for cotton regulation and traceability based on multi-source data according to claim 6, characterized in that, When the traceability evaluation module determines that the planting and processing step of the planting and processing process facing the traceability graph does not meet the condition, the traceability evaluation module performs derivative processing on the coordinates at each time period in the time-traceability node curve and takes the maximum value of the obtained deviation value as the fitting deviation value. The traceability evaluation module determines the type of the planting and processing step of the planting and processing process facing the traceability graph that does not meet the condition according to the fitting deviation value, wherein: If the fitting deviation value is greater than or equal to the threshold deviation value deployed in the traceability evaluation module, the traceability evaluation module determines that the planting and processing process facing the planting and processing steps in the traceability graph does not meet the condition of the type of traceability graph leakage, and the traceability evaluation module determines the traceability frequency of the planting and processing process according to the maximum value of the average traceability node obtained by the traceability node in the threshold period; If the fitting deviation value is less than the threshold deviation value, the traceability evaluation module determines that the planting and processing process facing the planting and processing steps in the traceability graph does not meet the condition of the type of the to-be-traced cotton aging, and the traceability evaluation module records the grade of raw materials of the to-be-traced cotton in the threshold period through the grade statistical module, and determines the comprehensive product forming index according to the collected raw material grade, and the traceability evaluation module re-determines the total track length of the to-be-traced cotton that needs to be traced according to the current grade according to the re-determined comprehensive product forming index, and re-determines the planting and processing track of the to-be-traced cotton according to the collected total track length.

8. The method for cotton regulation and traceability based on multi-source data according to claim 7, characterized in that, The traceability evaluation module takes the maximum value of the average traceability node obtained by the traceability node in the threshold period as a reference traceability node, and the traceability evaluation module has multiple correction methods for the traceability frequency of the planting and processing process according to the reference traceability node, and the correction amplitudes of each correction method for the traceability frequency of the planting and processing process are different.

9. The method for cotton regulation and traceability based on multi-source data according to claim 8, wherein, The traceability evaluation module has multiple correction methods for the comprehensive product forming index according to the grade of raw materials of the to-be-traced cotton in the threshold period recorded by the grade statistical module, and the correction amplitudes of each correction method for the comprehensive product forming index are different; The traceability evaluation module re-collects the total track length of the to-be-traced cotton that needs to be traced according to the corrected comprehensive product forming index under the condition of completing the correction of the comprehensive product forming index, and repeatedly executes step A001; When the traceability evaluation module completes the correction of the traceability frequency F2 of the planting and processing process, the traceability evaluation module has multiple correction methods for the threshold proportion according to the grade of raw materials of the to-be-traced cotton in the threshold period recorded by the grade statistical module, and the correction amplitudes of each correction method for the threshold proportion are different.

10. A cotton supervision and traceability device based on multi-source data, characterized in that, Comprise: One or more processors; A memory having one or more programs stored thereon, when the one or more programs are executed by the one or more processors, so that the one or more processors implement a cotton supervision and traceability method based on multi-source data according to any one of claims 1 to 9.

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