CN-122004487-A - Method and system for regulating and controlling cracking process of walnut shells through action perception

CN122004487ACN 122004487 ACN122004487 ACN 122004487ACN-122004487-A

Abstract

The invention discloses a method and a system for regulating and controlling a cracking process of a walnut shell by action perception, which relate to the technical field of walnut processing and have the technical scheme that the method comprises the following steps of selecting a dynamic regulating and controlling unit of an automatic cracking production line of the walnut shell, configuring a distributed action sensing array and establishing an anchoring sensing node, and collecting a multidimensional data set of the dynamic regulating and controlling unit in a history batch period; the method comprises the steps of dividing main transmission cooperative nodes and auxiliary transmission cooperative nodes of an anchoring sensing node based on the sensing precision and equipment transmission connection relation of a distributed motion sensing array, drawing a node motion transmission topological graph, and extracting stress correlation factors for regulating and controlling the motion response efficiency of the main transmission cooperative nodes and the auxiliary transmission cooperative nodes by combining a multi-dimensional data set.

Inventors

ZHAO QUNXI
LIU XIANGDONG
YANG ZHONGQIANG
QIN CUILAN
LI FENGJUAN
LIU JIANI

Assignees

新疆理工学院

Dates

Publication Date: 20260512
Application Date: 20260130

Claims (10)

1. A method for regulating and controlling a cracking process of a walnut shell through action perception is characterized by comprising the following steps: selecting a dynamic regulation and control unit of the walnut shell automatic cracking production line, configuring a distributed action sensing array and establishing an anchoring sensing node, and collecting a multidimensional data set of the dynamic regulation and control unit in a historical batch period; dividing main transmission cooperative nodes and auxiliary transmission cooperative nodes of the anchoring sensing nodes based on the sensing precision and equipment transmission connection relation of the distributed motion sensing array, and drawing a node motion transmission topological graph; Extracting stress correlation factors for regulating and controlling action response efficiency of the main transmission cooperative node and the auxiliary transmission cooperative node by combining the multidimensional data set; inputting the action impact strength fluctuation, response lag time and stress feedback deviation data of the anchoring sensing node in the historical batch period into an action response prediction model to output an action execution prediction result of the current batch period; When the early warning is triggered, the action coordination error data of the main transmission coordination node and the auxiliary transmission coordination node in the history period are called, and the action deviation risk value of the main transmission coordination node and the auxiliary transmission coordination node in the current batch period is calculated by combining the node action transmission topological graph; Fusing the stress association factors and real-time motion sensing data of the current batch period, and determining a motion regulation coverage area of the anchoring sensing node; And quantitatively evaluating the cooperative failure risk of the crust breaking action in the action regulation coverage area based on the action deviation risk value to obtain a risk evaluation result, and generating a dynamically-adapted cracking action regulation instruction according to the risk evaluation result.
2. The method for regulating and controlling the cracking process of the walnut shell perceived by the action according to claim 1, wherein the multidimensional data set comprises cracking action stress time sequence data, walnut shell three-dimensional morphology data and shell cracking integrity verification data.
3. The method for regulating and controlling the cracking process of walnut shells perceived by action according to claim 2, wherein a stress correlation factor for regulating and controlling the action response efficiency of a main transmission cooperative node and an auxiliary transmission cooperative node is extracted by combining a multidimensional data set, and specifically comprises the following steps: the multidimensional data sets are aligned and integrated according to the shell breaking operation time sequence to obtain a three-dimensional characteristic matrix data set; determining the influence weight of each parameter in the three-dimensional feature matrix data set on the node action response efficiency by adopting a cross-dimension feature fusion algorithm, and screening out core influence parameters by using a multi-dimensional data set in the influence weight; and calculating the correlation coefficient of the variation amplitude of the kernel influence parameters and the node action response efficiency deviation value in different historical batch periods, and integrating to form the stress correlation factor for regulating the node action response efficiency.
4. The method for regulating and controlling the cracking process of walnut shells by action perception according to claim 3, wherein the action impact strength fluctuation, response delay time and stress feedback deviation data of the anchoring perception node in the historical batch period are input into the action response prediction model to output the action execution prediction result of the current batch period, and the method specifically comprises the following steps: Extracting action impact strength, response lag time and stress feedback signals of the anchoring sensing node in a historical batch period to obtain full-quantity time sequence data, and synchronously collecting environment interference data of equipment power supply stability and mechanical lubrication state in a corresponding period; Calculating fluctuation coefficients of action impact strength, abnormal rate of response lag time and deviation coefficients of stress feedback signals according to the total time sequence data to obtain action related data, and performing coupling operation on fluctuation amplitudes of the action related data and the environment interference data to obtain action environment related factors; And inputting the action environment correlation factors into an action response prediction model to output an action execution pre-judging result of the anchoring sensing node in the current batch period, wherein the action execution pre-judging result comprises an action impact strength value, a response timeliness value and a stress feedback accuracy value.
5. The method for regulating and controlling the cracking process of walnut shells by action perception according to claim 4, wherein when an early warning is triggered, action coordination error data of a main transmission coordination node and an auxiliary transmission coordination node in a history period are called, and action deviation risk values of the main transmission coordination node and the auxiliary transmission coordination node in a current batch period are calculated by combining a node action transmission topological graph, and the method specifically comprises the following steps: Collecting action coordination error data, node part fatigue loss data and historical transmission topology adjustment logs of a main transmission coordination node and an auxiliary transmission coordination node in a historical period, and integrating the node part fatigue loss data and the historical transmission topology adjustment logs into a coordination influence basic data set; Calculating the fluctuation rate ratio according to the variation amplitude of the action matching error data in different historical batch periods and the matching influence basic data set to obtain a matching deviation characteristic coefficient; and (3) carrying out calibration optimization on the matched deviation characteristic coefficient by combining with the weight ratio of the transmission link of each node in the node action transmission topological graph, and calculating action deviation risk values of the main transmission cooperative node and the auxiliary transmission cooperative node in the current batch period through the optimized matched deviation characteristic coefficient.
6. The method for regulating and controlling the cracking process of the walnut shell perceived by the motion according to claim 5, wherein the method is characterized in that the matching deviation characteristic coefficient is calibrated and optimized by combining the weight ratio of the transmission link of each node in the node motion transmission topological graph, and the motion deviation risk values of the main transmission cooperative node and the auxiliary transmission cooperative node in the current batch period are calculated by the optimized matching deviation characteristic coefficient, and specifically comprises the following steps: Collecting real-time operation parameters, component loss degree data and material distribution density data of a current processing scene of a main transmission cooperative node and an auxiliary transmission cooperative node in a current batch period; determining the weight ratio of a transmission link of each node according to the node action transmission topological graph, and carrying out weighted calibration on the matched deviation characteristic coefficient by combining the real-time operation parameters, the component loss degree data and the material distribution density data; And inputting the calibrated coordination deviation characteristic coefficient into a risk probability calculation model to output action deviation risk values of the main transmission coordination node and the auxiliary transmission coordination node in the current batch period.
7. The method for regulating and controlling the cracking process of walnut shells by action perception according to claim 6, wherein the method for determining the action regulating and controlling coverage area of the anchoring sensing node by fusing the stress correlation factor and the real-time action sensing data of the current batch period specifically comprises the following steps: Collecting real-time action parameters and sensing signal transmission intensity data of the anchoring sensing node and the associated cooperative node in the current batch period, and integrating to form a real-time action sensing data set; Performing matrix coupling operation on the stress association factors and the real-time motion sensing data set to obtain a node motion influence weight matrix; and carrying out region division on the node action influence weight matrix, and determining the effective coverage area of the action regulation of the anchoring sensing node as an action regulation coverage area.
8. The method for regulating and controlling the cracking process of walnut shells perceived by action according to claim 7, wherein the risk assessment result is obtained by quantitatively assessing the risk of cooperative failure of the cracking action in the action regulating and controlling coverage area based on the action deviation risk value, and specifically comprises the following steps: Dividing a plurality of risk assessment subareas in an action regulation coverage area, and determining the functional importance weight and the action failure conduction coefficient of nodes in each risk assessment subarea; And inputting the action deviation risk value, the functional importance weight and the action failure conduction coefficient into a risk quantification evaluation model to output an overall crust breaking action cooperative failure risk evaluation result in the action regulation coverage area.
9. The method for regulating and controlling the cracking process of walnut shells perceived by action according to claim 8, wherein a dynamically adapted cracking action regulating and controlling instruction is generated according to a risk assessment result, and specifically comprises the following steps: Presetting a risk threshold set, and comparing a risk evaluation result with the risk threshold set one by one to determine a risk level, wherein the risk threshold set comprises a first risk threshold, a second risk threshold and a third risk threshold; And generating a rupture action regulation instruction comprising an action parameter correction scheme, an execution time sequence optimization path and an emergency action standby scheme through the risk level matching differential action regulation strategy.
10. The motion-aware walnut shell cracking process control system applied to the motion-aware walnut shell cracking process control method described in any one of claims 1-9 is characterized by comprising the following steps: The data acquisition module is used for selecting a dynamic regulation and control unit of the walnut shell automatic cracking production line, configuring a distributed action sensing array and establishing an anchoring sensing node, and acquiring a multidimensional data set of the dynamic regulation and control unit in a historical batch period; The node dividing module is used for dividing main transmission cooperative nodes and auxiliary transmission cooperative nodes of the anchored sensing nodes based on the sensing precision and equipment transmission connection relation of the distributed motion sensing array and drawing a node motion transmission topological graph; The stress factor extraction module is used for extracting stress correlation factors for regulating and controlling the action response efficiency of the main transmission cooperative node and the auxiliary transmission cooperative node by combining the multidimensional data set; The action pre-judging module inputs action impact strength fluctuation, response lag time and stress feedback deviation data of the anchoring sensing node in the historical batch period into the action response prediction model to output an action execution pre-judging result of the current batch period; The system comprises an action response qualification threshold, an accounting module, a control module and a control module, wherein the action response qualification threshold is set, and whether an anchoring sensing node triggers a shell breaking action early warning is judged according to an action execution prejudgment result; The regulation domain determining module is used for fusing the stress association factors with real-time motion sensing data of the current batch period to determine the motion regulation coverage domain of the anchoring sensing node; and the dynamic regulation and control module is used for quantitatively evaluating the cooperative failure risk of the crust breaking action in the action regulation and control coverage area based on the action deviation risk value to obtain a risk evaluation result, generating a dynamically-adapted cracking action regulation and control instruction according to the risk evaluation result, and issuing and executing the cracking action regulation and control instruction.

Description

Method and system for regulating and controlling cracking process of walnut shells through action perception Technical Field The invention relates to the technical field of walnut processing, in particular to a method and a system for regulating and controlling a cracking process of a walnut shell through action perception. Background The walnut is used as a nut product with rich nutritive value, and in the deep processing industry, the shell breaking and kernel taking are core links, and the shell breaking quality directly determines the added value and the market competitiveness of the product. Along with the acceleration of the industrial process of deep processing of agricultural products, the traditional manual shell breaking mode has the problems of low efficiency, high cost, uneven shell breaking quality and the like, cannot meet the large-scale production requirement, and an automatic walnut shell breaking production line is generated, so that the industrial main stream production mode is realized. However, the existing automatic walnut shell breaking equipment is mainly divided into a knocking type, a squeezing type and a shearing type, and the core working logic of the automatic walnut shell breaking equipment is to conduct batch shell breaking treatment on walnuts through preset fixed mechanical action parameters such as knocking force, squeezing pressure and feeding speed. In order to improve applicability, a part of equipment is provided with limited parameter adjustment gears, an operator manually selects corresponding gears after judging the rough types of walnuts according to experience, however, natural differences of the characteristics of the walnuts bring a plurality of challenges to the stable operation of the equipment, obvious differences exist in shell thickness, shell shape curvature and hardness in the same batch of walnuts, the average shell thickness difference between light-skin walnuts and hemp-skin walnuts can reach 2 millimeters, the hardness fluctuation of different parts of single walnuts often exceeds 15%, and the fixed parameters are difficult to adapt to the characteristic differences. Disclosure of Invention Aiming at the defects of the prior art, the invention aims to provide a method and a system for regulating and controlling the cracking process of walnut shells through action perception. In order to achieve the above purpose, the present invention provides the following technical solutions: A method for regulating and controlling a cracking process of a walnut shell perceived by action comprises the following steps: selecting a dynamic regulation and control unit of the walnut shell automatic cracking production line, configuring a distributed action sensing array and establishing an anchoring sensing node, and collecting a multidimensional data set of the dynamic regulation and control unit in a historical batch period; dividing main transmission cooperative nodes and auxiliary transmission cooperative nodes of the anchoring sensing nodes based on the sensing precision and equipment transmission connection relation of the distributed motion sensing array, and drawing a node motion transmission topological graph; Extracting stress correlation factors for regulating and controlling action response efficiency of the main transmission cooperative node and the auxiliary transmission cooperative node by combining the multidimensional data set; inputting the action impact strength fluctuation, response lag time and stress feedback deviation data of the anchoring sensing node in the historical batch period into an action response prediction model to output an action execution prediction result of the current batch period; When the early warning is triggered, the action coordination error data of the main transmission coordination node and the auxiliary transmission coordination node in the history period are called, and the action deviation risk value of the main transmission coordination node and the auxiliary transmission coordination node in the current batch period is calculated by combining the node action transmission topological graph; Fusing the stress association factors and real-time motion sensing data of the current batch period, and determining a motion regulation coverage area of the anchoring sensing node; And quantitatively evaluating the cooperative failure risk of the crust breaking action in the action regulation coverage area based on the action deviation risk value to obtain a risk evaluation result, and generating a dynamically-adapted cracking action regulation instruction according to the risk evaluation result. Preferably, the multi-dimensional dataset comprises cracking action stress time sequence data, walnut shell three-dimensional morphology data and shell breaking integrity verification data. Preferably, the stress correlation factor for regulating and controlling the action response efficiency of the main transmission cooperative node and th