RFID-driven material scheduling and feeding and discharging control method and system and medium

Abstract

The invention provides an RFID-driven material scheduling and feeding and discharging control method and system and a medium. The method comprises the steps of monitoring the remaining inventory of target materials in a preset process in real time and comparing the remaining inventory with a preset safety inventory threshold value, if the remaining inventory is smaller than the preset safety inventory threshold value, collecting real-time characteristic data of corresponding RFID tags, processing to obtain an optimal scheduling scheme, executing material transfer according to the optimal scheduling scheme, and monitoring the transfer process in real time. If the target material is transferred to the target station, a feeding and discharging dual-mistake-proofing verification measure is executed, the feeding and discharging execution process is monitored, control parameters are extracted, and whether feeding and discharging control parameters need to be adjusted or not is judged by combining a preset demand efficiency threshold value; therefore, the technology of RFID-driven material scheduling and feeding and discharging control is realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent manufacturing, in particular to an RFID-driven material scheduling and feeding control method, system and medium. BACKGROUND

[0002] In the intelligent manufacturing scene, the accuracy and timeliness of material scheduling and feeding directly determine the production efficiency. However, the existing technology often faces multiple bottlenecks: traditional inventory monitoring relies on manual counting, which can easily lead to delayed material shortage warning and affect process continuity; the material transfer path is mostly fixed planning, which cannot dynamically adapt to the congestion conditions of the workshop, and the transfer efficiency is low; the feeding and discharging link only relies on single verification, and the wrong and missing materials are frequent, and the control parameter adjustment lacks data support, making it difficult to match production demand.

[0003] Although RFID technology has been applied to material management, it mostly stays at the basic information collection level and does not form a full-link closed loop of "inventory monitoring-scheduling optimization-path adjustment-feeding and discharging control".

[0004] In view of the above problems, an effective technical solution is urgently needed. SUMMARY

[0005] The purpose of the present application is to provide an RFID-driven material scheduling and feeding control method, system and medium, which can monitor the remaining inventory of target materials of a preset process in real time and compare it with a preset safety inventory threshold. If the remaining inventory is less than the preset safety inventory threshold, real-time characteristic data of the corresponding RFID tag is collected, an optimal scheduling scheme is obtained by processing, material transfer is performed according to the optimal scheduling scheme, the transfer process is monitored in real time, and the transfer path is adjusted according to the congestion condition. If the target material is transferred to the target station, double error-proof verification measures are performed for feeding and discharging, the feeding and discharging execution process is monitored and control parameters are extracted, and whether the feeding and discharging control parameters need to be adjusted is judged in combination with a preset demand efficiency threshold, thereby realizing the technology of RFID-driven material scheduling and feeding control.

[0006] The present application also provides an RFID-driven material scheduling and feeding control method, which comprises the following steps: monitoring the remaining inventory of target materials of a preset process in real time and comparing it with a preset safety inventory threshold; If the remaining inventory is less than the preset safety inventory threshold, real-time characteristic data of the corresponding RFID tag is collected, an optimal scheduling scheme is obtained by processing; material transfer is performed according to the optimal scheduling scheme, the transfer process is monitored in real time, and the transfer path is adjusted according to the congestion condition; If the target material is transferred to the target station, double error-proof verification measures are performed for feeding and discharging; Monitor the feeding and discharging execution process and extract control parameters, and judge whether the feeding and discharging control parameters need to be adjusted in combination with a preset demand efficiency threshold.

[0007] Optionally, in the RFID-driven material scheduling and feeding and discharging control method described in the present application, the real-time monitoring of the remaining inventory of the target material in the preset process and the comparison with the preset safety inventory threshold include: Real-time monitoring of the operation of the preset process to obtain the remaining inventory of the target material; Obtaining demand-side variable data, supply-side variable data, and material characteristic variable data of the target material in a historical preset time period; Processing the demand-side variable data, supply-side variable data, and material characteristic variable data through a preset material inventory estimation model to obtain a preset safety inventory threshold; Comparing the remaining inventory with the preset safety inventory threshold to obtain a first comparison result; Judging whether material scheduling is needed according to the first comparison result.

[0008] Optionally, in the RFID-driven material scheduling and feeding and discharging control method described in the present application, if the remaining inventory is less than the preset safety inventory threshold, real-time characteristic data of the corresponding RFID tag is collected, and an optimal scheduling scheme is obtained by processing, including: If the remaining inventory is less than the preset safety inventory threshold, material scheduling is needed; Collecting real-time characteristic data of the corresponding RFID tag, including material urgency, order priority, device load rate, workstation material consumption rate, and AGV real-time position; Processing the material urgency, order priority, device load rate, workstation material consumption rate, and AGV real-time position through a preset scheduling planning algorithm to obtain an optimal scheduling scheme.

[0009] Optionally, in the RFID-driven material scheduling and feeding and discharging control method described in the present application, the material transfer is performed according to the optimal scheduling scheme, the transfer process is monitored in real time, and the transfer path is adjusted according to the congestion condition, including: Performing material transfer according to the optimal scheduling scheme, monitoring the transfer process in real time, and extracting a path congestion coefficient; Comparing the path congestion coefficient with a preset path congestion threshold to obtain a second comparison result; If the path congestion coefficient is greater than the preset path congestion threshold, an adaptive alternative path is obtained from a preset path library, and the transfer path is adjusted accordingly.

[0010] Optionally, in the RFID-driven material scheduling and loading / unloading control method, if the target material is transferred to the target station, a loading / unloading double error-proofing verification measure is performed, including: If the target material is transferred to the target station, material tag information and station tag information are acquired; The material tag information and the station tag information are matched to obtain an information matching degree; The information matching degree is compared with a preset matching verification threshold to obtain a third comparison result; If the information matching degree is less than the preset matching verification threshold, the target material and the target station are abnormally matched, and corresponding correction measures need to be performed; If the information matching degree is greater than or equal to the preset matching verification threshold, the material placement position is determined according to a station sensor and a reader.

[0011] Optionally, in the RFID-driven material scheduling and loading / unloading control method, the execution process of the loading / unloading is monitored and control parameters are extracted, and whether the loading / unloading control parameters need to be adjusted is determined in combination with a preset demand efficiency threshold, including: The execution process of the loading / unloading is monitored and control parameters, including grabbing accuracy, action response time, beat time and positioning error, are extracted; The grabbing accuracy, the action response time, the beat time and the positioning error are processed through a preset loading / unloading efficiency evaluation model to obtain a loading / unloading efficiency coefficient; The loading / unloading efficiency coefficient is compared with a preset demand efficiency threshold to obtain a fourth comparison result; Whether the loading / unloading control parameters need to be adjusted is determined according to the fourth comparison result.

[0012] In a second aspect, the present application provides an RFID-driven material scheduling and loading / unloading control system, which includes a memory and a processor, the memory includes a program of an RFID-driven material scheduling and loading / unloading control method, and the program of the RFID-driven material scheduling and loading / unloading control method is executed by the processor to realize the following steps: The remaining inventory of a target material of a preset process is monitored in real time and compared with a preset safety inventory threshold; If the remaining inventory is less than the preset safety inventory threshold, real-time characteristic data of a corresponding RFID tag is collected, and an optimal scheduling scheme is obtained by processing; The material transfer is performed according to the optimal scheduling scheme, the transfer process is monitored in real time, and the transfer path is adjusted according to the congestion condition; If the target material is transferred to the target station, a loading / unloading double error-proofing verification measure is performed; Monitor the feeding and discharging execution process and extract control parameters, and judge whether the feeding and discharging control parameters need to be adjusted in combination with a preset demand efficiency threshold.

[0013] Optionally, in the RFID-driven material scheduling and feeding and discharging control system described in the present application, the real-time monitoring of the remaining inventory of the target material of the preset process and the comparison with the preset safety inventory threshold include: Real-time monitoring of the operation of the preset process to obtain the remaining inventory of the target material; Obtaining demand-side variable data, supply-side variable data, and material characteristic variable data of the target material in a historical preset time period; Processing the demand-side variable data, the supply-side variable data, and the material characteristic variable data through a preset material inventory estimation model to obtain a preset safety inventory threshold; Comparing the remaining inventory with the preset safety inventory threshold to obtain a first comparison result; Judging whether material scheduling is needed according to the first comparison result.

[0014] Optionally, in the RFID-driven material scheduling and feeding and discharging control system described in the present application, if the remaining inventory is less than the preset safety inventory threshold, real-time characteristic data of the corresponding RFID tag is collected, and an optimal scheduling scheme is obtained by processing, including: If the remaining inventory is less than the preset safety inventory threshold, material scheduling is needed; Collecting real-time characteristic data of the corresponding RFID tag, including material urgency, order priority, equipment load rate, work station material consumption rate, and AGV real-time position; Processing the material urgency, order priority, equipment load rate, work station material consumption rate, and AGV real-time position through a preset scheduling planning algorithm to obtain an optimal scheduling scheme.

[0015] In a third aspect, the present application also provides a computer readable storage medium, wherein an RFID-driven material scheduling and feeding and discharging control method program is stored in the computer readable storage medium, and when the RFID-driven material scheduling and feeding and discharging control method program is executed by a processor, the steps of the RFID-driven material scheduling and feeding and discharging control method according to any one of the above aspects are implemented.

[0016] From the above, the RFID-driven material scheduling and loading and unloading control method, system and medium disclosed by the application, by monitoring the remaining inventory of the target material of the preset process in real time and comparing with the preset safety inventory threshold, if the remaining inventory is less than the preset safety inventory threshold, collecting the real-time characteristic data of the corresponding RFID tag, processing to obtain the optimal scheduling scheme, executing the material transfer according to the optimal scheduling scheme, monitoring the transfer process in real time, and adjusting the transfer path according to the congestion condition, if the target material is transferred to the target station, executing the double error-proof checking measures of loading and unloading, monitoring the loading and unloading execution process and extracting the control parameters, combining the preset demand efficiency threshold to judge whether the loading and unloading control parameters need to be adjusted, so as to realize the technology of RFID-driven material scheduling and loading and unloading control.

[0017] Other features and advantages of the present application will be set forth in the following description, and in part will become apparent to those skilled in the art from the description, or can be learned by practice of the present application. The objects and other advantages of the present application can be realized and achieved by the structure particularly pointed out in the written description and the accompanying drawings. BRIEF DESCRIPTION OF DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments of the present application will be briefly introduced below, and it should be understood that the following drawings only show some embodiments of the present application, and therefore should not be regarded as a limitation on the scope, and for those skilled in the art, other related drawings can also be obtained without creative labor on the basis of these drawings.

[0019] Figure 1 The flowchart of the RFID-driven material scheduling and loading and unloading control method provided by the embodiments of the present application; Figure 2 The flowchart of obtaining the optimal scheduling scheme of the RFID-driven material scheduling and loading and unloading control method provided by the embodiments of the present application; Figure 3 The flowchart of adjusting the transfer path of the RFID-driven material scheduling and loading and unloading control method provided by the embodiments of the present application; Figure 4 The flowchart of executing the double error-proof checking measures of loading and unloading of the RFID-driven material scheduling and loading and unloading control method provided by the embodiments of the present application. DETAILED DESCRIPTION

[0020] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments of the present application. The components of the embodiments of the present application described and shown in the drawings herein can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the claimed present application, but only represents selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without creative work fall within the scope of the present application.

[0021] It should be noted that similar reference numbers and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. Meanwhile, in the description of the present application, the terms "first", "second", etc. are only used to distinguish the description, and cannot be understood as indicating or implying relative importance.

[0022] Please refer to Figure 1 , Figure 1 is a flowchart of an RFID-driven material scheduling and loading and unloading control method in some embodiments of the present application. The RFID-driven material scheduling and loading and unloading control method is used in terminal equipment, such as computers, mobile phone terminals, etc. The RFID-driven material scheduling and loading and unloading control method includes the following steps: S11, real-time monitoring of the remaining inventory of target materials of a preset process and comparison with a preset safety inventory threshold; S12, if the remaining inventory is less than the preset safety inventory threshold, collecting real-time characteristic data of the corresponding RFID tag, and processing to obtain an optimal scheduling scheme; S13, performing material transfer according to the optimal scheduling scheme, real-time monitoring of the transfer process, and adjusting the transfer path according to the congestion condition; S14, if the target material is transferred to the target station, performing loading and unloading double error-proof checking measures; S15, monitoring the loading and unloading execution process and extracting control parameters, and combining a preset demand efficiency threshold to determine whether the loading and unloading control parameters need to be adjusted.

[0023] It should be noted that the prior art has problems of inventory warning lag, lack of precise data support for scheduling scheme, inability of dynamic adaptation of transfer path to congestion conditions, prone to errors in feeding and discharging, and lack of basis for adjusting control parameters in material management; therefore, in order to solve these problems, first, the remaining inventory of the target material of the preset process is monitored in real time and compared with the preset safety inventory threshold, and whether material scheduling is needed is judged according to the comparison result, if the remaining inventory is less than the preset safety inventory threshold, material scheduling is needed; at this time, the real-time characteristic data of the corresponding RFID tag is collected, including material urgency, order priority, equipment load rate, work position material consumption rate and AGV real-time position, and the optimal scheduling scheme is further obtained by processing through the preset scheduling planning algorithm, then, the material transfer is executed according to the optimal scheduling scheme, the transfer process is monitored in real time, the path congestion coefficient is extracted, and the transfer path is adjusted accordingly; when the target material is transferred to the target work position, the feeding and discharging double error proofing verification measures are executed; on the other hand, the feeding and discharging execution process is monitored and the control parameters are extracted, including grabbing accuracy, action response time, beat time and positioning error, and the feeding and discharging efficiency coefficient is further obtained by processing; finally, whether the feeding and discharging control parameters need to be adjusted is judged in combination with the preset demand efficiency threshold, so as to realize the technical goal of RFID-driven material scheduling and feeding and discharging control.

[0024] According to the embodiment of the application, the real-time monitoring of the remaining inventory of the target material of the preset process and the comparison with the preset safety inventory threshold comprise: real-time monitoring of the operation of the preset process to obtain the remaining inventory of the target material; obtaining demand end variable data, supply end variable data and material characteristic variable data of the target material in a historical preset time period; processing the demand end variable data, the supply end variable data and the material characteristic variable data through a preset material inventory estimation model to obtain a preset safety inventory threshold; comparing the remaining inventory with the preset safety inventory threshold to obtain a first comparison result; judging whether material scheduling is needed according to the first comparison result.

[0025] It should be noted that, in order to avoid the preset process from being interrupted due to lack of materials, a dynamic inventory monitoring and threshold calculation system needs to be constructed; first, the remaining inventory of the target material of the preset process is collected in real time, and a precise comparison is formed with the safety inventory threshold generated subsequently; and in order to ensure that the threshold is scientific and reliable, the full-dimensional data of the material in the historical preset time period need to be retrieved, wherein the demand-side variables include daily consumption, order fluctuation amplitude, etc.; the supply-side variables include supplier delivery cycle, delay rate, etc.; and the material characteristic variables involve shelf life, loss rate, etc. core information; after cleaning, these data are input into the preset material inventory estimation model, the model quantifies the influence of each variable through a weighting algorithm, and outputs a preset safety inventory threshold that fits the actual situation; then, the real-time remaining inventory is compared with the threshold to obtain a first comparison result: if the remaining inventory is lower than the threshold, the material scheduling process is triggered immediately; if it is higher than the threshold, the current inventory state is maintained.

[0026] Please refer to Figure 2 , Figure 2 is a flowchart of the RFID-driven material scheduling and loading control method of some embodiments of the present application. According to the embodiments of the present application, if the remaining inventory is less than the preset safety inventory threshold, the real-time characteristic data of the corresponding RFID tag is collected, and the optimal scheduling scheme is obtained by processing, including: S21, if the remaining inventory is less than the preset safety inventory threshold, material scheduling needs to be performed; S22, collecting real-time characteristic data of the corresponding RFID tag, including material urgency, order priority, device load rate, work station material consumption rate, and AGV real-time position; S23, processing according to the material urgency, order priority, device load rate, work station material consumption rate, and AGV real-time position through a preset scheduling planning algorithm to obtain an optimal scheduling scheme.

[0027] It should be noted that when the remaining inventory of the target material of the preset process is lower than the preset safety inventory threshold, the system immediately determines that material scheduling needs to be started to avoid process interruption; at this time, the core scheduling preparation phase is entered, the real-time characteristic data of the RFID tag corresponding to the target material is collected through the RFID reading and writing device deployed in the workshop, wherein the material urgency indicates the urgency of production demand, the order priority clearly indicates the task weight, the device load rate reflects the current carrying capacity of the loading and unloading device, the work station material consumption rate provides a basis for transfer efficiency, and the AGV real-time position is the basis for path planning; then, the above multi-dimensional data is input into a preset scheduling planning algorithm (such as a genetic algorithm), the algorithm quantitatively analyzes the correlation of each parameter, balances the device utilization rate and transfer efficiency while meeting high-priority demand, and finally calculates an optimal scheduling scheme containing material source, carrying AGV, optimal path, etc.

[0028] Please refer toFigure 3 , Figure 3 is the flow chart of the adjustment transfer path of the RFID-driven material scheduling and loading and unloading control method in some embodiments of the present application. According to the embodiment of the present application, the material transfer is performed according to the optimal scheduling scheme, the transfer process is monitored in real time, and the transfer path is adjusted according to the congestion condition, which comprises: S31, performing material transfer according to the optimal scheduling scheme, monitoring the transfer process in real time and extracting the path congestion coefficient; S32, comparing the path congestion coefficient with the preset path congestion threshold to obtain a second comparison result; S33, if the path congestion coefficient is greater than the preset path congestion threshold, obtaining an adaptive candidate path from a preset path library and adjusting the transfer path accordingly.

[0029] It should be noted that after the AGV and other transfer equipment starts material transfer according to the optimal scheduling scheme, the RFID positioning module and video monitoring equipment deployed at the key nodes of the workshop passage are used to track the position of the transfer equipment and the surrounding environment in real time, and the path congestion coefficient is extracted synchronously; the coefficient comprehensively reflects the device density, passing speed and obstacle situation in the passage, and the higher the value, the more serious the congestion; then the real-time obtained path congestion coefficient is compared with the preset path congestion threshold (set in combination with historical passing data to ensure the balance value of transfer efficiency and safety) to obtain a second comparison result; if the coefficient does not exceed the threshold, the original path is maintained to continue transfer; if the coefficient is greater than the threshold, the path adjustment mechanism is triggered immediately, the shortest and lowest congestion risk candidate path is matched from the preset path library, and the adjustment instruction is issued to the transfer equipment to ensure efficient and smooth material transfer.

[0030] Please refer to Figure 4 , Figure 4 is the flow chart of the execution of double error proofing verification measures of the RFID-driven material scheduling and loading and unloading control method in some embodiments of the present application. According to the embodiment of the present application, if the target material is transferred to the target station, double error proofing verification measures are executed, which comprises: S41, if the target material is transferred to the target station, obtaining material label information and station label information; S42, matching the material label information and the station label information to obtain an information matching degree; S43, comparing the information matching degree with a preset matching verification threshold to obtain a third comparison result; S44, if the information matching degree is less than the preset matching verification threshold, the target material and the target station are matched abnormally, and corresponding correction measures need to be executed; S45, if the information matching degree is greater than or equal to a preset matching check threshold, judging the material placement position according to the station sensor and the reader-writer.

[0031] It should be noted that, when the target material is transferred to the target station by dynamic scheduling, in order to prevent the problems of wrong material and mixed material, a double error-proof check mechanism needs to be started. First, the high-frequency RFID reader-writer beside the station is automatically activated and reads the core information of the material label and the station label. The material label covers data such as material model, specification, order to which it belongs, quality code, etc., and the station label contains process number, required material list, production rhythm requirement, etc. Then the information of the two types of labels is imported into a matching algorithm to calculate the information matching degree. For example, if the material label is marked as "bearing B12" and the station label requires "bearing B13", the model dimension matching degree is 0, and the overall matching degree is lowered. Then, the matching degree is compared with the preset matching check threshold (98% for core processes and 95% for ordinary processes) to obtain a third comparison result. If the matching degree is lower than the threshold, the system immediately triggers an audible and light warning, locks the feeding and discharging equipment and displays the abnormal reason (such as the material model is not consistent), and the staff needs to perform correction measures such as replacing the material or correcting the label. If the matching degree meets the standard, the laser sensor and visual recognition equipment carried by the station are started simultaneously to accurately detect whether the coordinate position and posture of the material placement meet the process requirements.

[0032] According to the embodiment of the present application, the monitoring of the feeding and discharging execution process and the extraction of the control parameter, in combination with the preset demand efficiency threshold, judges whether the feeding and discharging control parameter needs to be adjusted, comprising: The monitoring of the feeding and discharging execution process and the extraction of the control parameter include grabbing accuracy, action response time, beat time and positioning error; According to the grabbing accuracy, action response time, beat time and positioning error, a preset feeding and discharging efficiency evaluation model is processed to obtain a feeding and discharging efficiency coefficient; According to the comparison of the feeding and discharging efficiency coefficient and the preset demand efficiency threshold, a fourth comparison result is obtained; According to the fourth comparison result, it is judged whether the feeding and discharging control parameter needs to be adjusted.

[0033] It should be noted that when the feeding and discharging equipment performs the grabbing and placing actions, the whole process is monitored in real time and the core control parameters are extracted; wherein the grabbing accuracy reflects the deviation of the clamping position of the material by the mechanical arm, the action response time reflects the feedback speed of the equipment to the instruction, the beat time is related to the production rhythm matching degree of the process, and the positioning error measures the accuracy of the material placement; then, the above parameters are input into the preset feeding and discharging efficiency evaluation model, the model quantifies the influence of each index (the core process priority weight is given to the positioning error and the beat time) by a weighting algorithm, and outputs a comprehensive feeding and discharging efficiency coefficient; the coefficient is compared with the preset demand efficiency threshold (set in combination with the order capacity requirement), and a fourth comparison result is obtained: if the coefficient meets the standard, the current parameters are maintained; if it does not meet the standard, the system automatically analyzes the causes of low efficiency and generates parameter adjustment suggestions, so as to ensure that the feeding and discharging efficiency adapts to the production demand.

[0034] In a second aspect, the present application further discloses an RFID-driven material scheduling and feeding and discharging control system, comprising a memory and a processor, wherein the memory comprises an RFID-driven material scheduling and feeding and discharging control method program, and the RFID-driven material scheduling and feeding and discharging control method program realizes the following steps when executed by the processor: Real-time monitoring of the remaining inventory of the target material of the preset process and comparison with the preset safety inventory threshold; If the remaining inventory is less than the preset safety inventory threshold, the real-time characteristic data of the corresponding RFID tag is collected, and the optimal scheduling scheme is obtained by processing; According to the optimal scheduling scheme, the material transfer is performed, the transfer process is monitored in real time, and the transfer path is adjusted according to the congestion condition; If the target material is transferred to the target station, the feeding and discharging double-proofing verification measures are performed; Monitoring the feeding and discharging execution process and extracting control parameters, and combining the preset demand efficiency threshold to determine whether the feeding and discharging control parameters need to be adjusted.

[0035] It should be noted that the prior art has problems of inventory warning lag, lack of precise data support for scheduling scheme, inability of dynamic adaptation of transfer path to congestion conditions, prone to errors in feeding and discharging, and lack of basis for adjusting control parameters in material management; therefore, in order to solve these problems, first, the remaining inventory of the target material of the preset process is monitored in real time and compared with the preset safety inventory threshold, and whether material scheduling is needed is judged according to the comparison result, if the remaining inventory is less than the preset safety inventory threshold, material scheduling is needed; at this time, the real-time characteristic data of the corresponding RFID tag is collected, including material urgency, order priority, equipment load rate, work position material consumption rate and AGV real-time position, and the optimal scheduling scheme is further obtained by processing through the preset scheduling planning algorithm, then, the material transfer is executed according to the optimal scheduling scheme, the transfer process is monitored in real time, the path congestion coefficient is extracted, and the transfer path is adjusted accordingly; when the target material is transferred to the target work position, the feeding and discharging double error proofing verification measures are executed; on the other hand, the feeding and discharging execution process is monitored and the control parameters are extracted, including grabbing accuracy, action response time, beat time and positioning error, and the feeding and discharging efficiency coefficient is further obtained by processing; finally, whether the feeding and discharging control parameters need to be adjusted is judged in combination with the preset demand efficiency threshold, so as to realize the technical goal of RFID-driven material scheduling and feeding and discharging control.

[0036] According to the embodiment of the application, the real-time monitoring of the remaining inventory of the target material of the preset process and the comparison with the preset safety inventory threshold comprise: real-time monitoring of the operation of the preset process to obtain the remaining inventory of the target material; obtaining demand end variable data, supply end variable data and material characteristic variable data of the target material in a historical preset time period; processing the demand end variable data, the supply end variable data and the material characteristic variable data through a preset material inventory estimation model to obtain a preset safety inventory threshold; comparing the remaining inventory with the preset safety inventory threshold to obtain a first comparison result; judging whether material scheduling is needed according to the first comparison result.

[0037] It should be noted that, in order to avoid the preset process from being interrupted due to lack of materials, a dynamic inventory monitoring and threshold calculation system needs to be constructed; first, the remaining inventory of the target material of the preset process is collected in real time, and a precise comparison is formed with the generated safety inventory threshold; in order to ensure that the threshold is scientific and reliable, the full-dimensional data of the material in the historical preset time period need to be called, wherein the demand-side variables include daily consumption, order fluctuation amplitude, etc.; the supply-side variables include supplier delivery cycle, delay rate, etc.; and the material characteristic variables involve core information such as shelf life and loss rate; after cleaning, these data are input into a preset material inventory estimation model, the model quantifies the influence of each variable through a weighting algorithm, and outputs a preset safety inventory threshold that fits the actual situation; then, the real-time remaining inventory is compared with the threshold to obtain a first comparison result: if the remaining inventory is lower than the threshold, the material scheduling process is triggered immediately; if it is higher than the threshold, the current inventory state is maintained.

[0038] According to an embodiment of the present application, if the remaining inventory is less than the preset safety inventory threshold, real-time characteristic data of the corresponding RFID tag is collected, and an optimal scheduling scheme is obtained through processing, comprising: If the remaining inventory is less than the preset safety inventory threshold, material scheduling needs to be performed; Real-time characteristic data of the corresponding RFID tag is collected, including material urgency, order priority, device load rate, work station material consumption rate, and AGV real-time position; According to the material urgency, order priority, device load rate, work station material consumption rate, and AGV real-time position, a preset scheduling planning algorithm is used for processing to obtain an optimal scheduling scheme.

[0039] It should be noted that when the remaining inventory of the target material of the preset process is lower than the preset safety inventory threshold, the system immediately determines that material scheduling needs to be started to avoid process interruption; at this time, the core scheduling preparation phase is entered, and through the RFID reading and writing device deployed in the workshop, real-time characteristic data of the RFID tag corresponding to the target material is collected, wherein the material urgency indicates the urgency of production demand, the order priority clearly indicates the task weight, the device load rate reflects the current carrying capacity of the loading and unloading device, the work station material consumption rate provides a basis for transfer efficiency, and the AGV real-time position is the basis for path planning; then, the above multi-dimensional data is input into a preset scheduling planning algorithm (such as a genetic algorithm), the algorithm quantitatively analyzes the correlation of each parameter, balances the device utilization rate and transfer efficiency while meeting high-priority demand, and finally calculates an optimal scheduling scheme containing material source, carrying AGV, optimal path, etc.

[0040] According to an embodiment of the present application, the material transfer is performed according to the optimal scheduling scheme, the transfer process is monitored in real time, and the transfer path is adjusted according to the congestion condition, comprising: According to the optimal scheduling scheme, material transfer is performed, the transfer process is monitored in real time, and a path congestion coefficient is extracted; According to the path congestion coefficient and a preset path congestion threshold, a second comparison result is obtained; If the path congestion coefficient is greater than the preset path congestion threshold, an adaptive candidate path is obtained according to a preset path library, and the transfer path is adjusted accordingly.

[0041] It should be noted that after the AGV and other transfer equipment start material transfer according to the optimal scheduling scheme, the RFID positioning module and the video monitoring device deployed at the key nodes of the workshop passageway are used to track the position of the transfer equipment and the surrounding environment in real time, and the path congestion coefficient is extracted synchronously. The coefficient comprehensively reflects the device density, passing speed and obstacle situation in the passageway, and the higher the value, the more serious the congestion. Then, the real-time obtained path congestion coefficient is compared with the preset path congestion threshold (which is set in combination with historical passing data to ensure the balance value of transfer efficiency and safety), and a second comparison result is obtained. If the coefficient does not exceed the threshold, the original path is maintained to continue transfer. If the coefficient is greater than the threshold, the path adjustment mechanism is triggered immediately, the shortest and lowest congestion risk candidate path is matched from the preset path library, and the adjustment instruction is issued to the transfer equipment, so as to ensure efficient and smooth material transfer.

[0042] According to the embodiment of the present application, if the target material is transferred to the target station, double error-proofing verification measures for loading and unloading are performed, including: If the target material is transferred to the target station, the material label information and the station label information are obtained; According to the material label information and the station label information, a matching processing is performed, and a information matching degree is obtained; According to the information matching degree and a preset matching verification threshold, a third comparison result is obtained; If the information matching degree is less than the preset matching verification threshold, the target material and the target station are matched abnormally, and corresponding correction measures need to be performed; If the information matching degree is greater than or equal to the preset matching verification threshold, the material placement position is determined according to the station sensor and the reader.

[0043] It should be noted that when the target material is transferred to the target station by dynamic scheduling, in order to prevent the problem of wrong material and mixed material, a double error-proof checking mechanism needs to be started. First, the high-frequency RFID reader beside the station automatically activates and reads the core information of the material tag and the station tag. Among them, the material tag covers the material model, specification, order to which it belongs, quality code and other data, and the station tag contains process number, required material list, production rhythm requirement and other contents. Then the information of the two types of tags is input into the matching algorithm to calculate the information matching degree. For example, if the material tag is labeled as "bearing B12" and the station tag requires "bearing B13", the model dimension matching degree is 0, and the overall matching degree is lowered. Then, the matching degree is compared with the preset matching check threshold (core process is 98%, ordinary process is 95%), and the third comparison result is obtained. If the matching degree is lower than the threshold, the system immediately triggers an audible and light warning, locks the feeding and discharging equipment and displays the abnormal reason (such as the material model is not consistent), and the staff needs to perform correction measures such as replacing the material or correcting the tag. If the matching degree meets the standard, the laser sensor and visual recognition device carried by the station are started synchronously to accurately detect whether the coordinate position and posture of the material placed meet the process requirements.

[0044] According to the embodiment of the present application, the monitoring of the feeding and discharging execution process and the extraction of the control parameter, in combination with the preset demand efficiency threshold, judges whether the feeding and discharging control parameter needs to be adjusted, comprising: The monitoring of the feeding and discharging execution process and the extraction of the control parameter, including grabbing accuracy, action response time, beat time and positioning error; According to the grabbing accuracy, action response time, beat time and positioning error, the preset feeding and discharging efficiency evaluation model is processed to obtain the feeding and discharging efficiency coefficient; According to the comparison between the feeding and discharging efficiency coefficient and the preset demand efficiency threshold, the fourth comparison result is obtained; According to the fourth comparison result, it is judged whether the feeding and discharging control parameter needs to be adjusted.

[0045] It should be noted that when the feeding and discharging equipment performs grabbing and placing actions, the whole process is monitored in real time and the core control parameters are extracted. Among them, the grabbing accuracy reflects the deviation of the clamping position of the mechanical arm to the material, the action response time reflects the feedback speed of the equipment to the instruction, the beat time is related to the process production rhythm matching degree, and the positioning error measures the accuracy of the material placement. Then, the above parameters are input into the preset feeding and discharging efficiency evaluation model, and the model quantifies the influence of each index (the core process priority weight is given to the positioning error and the beat time) by the weighting algorithm, and outputs the comprehensive feeding and discharging efficiency coefficient. The coefficient is compared with the preset demand efficiency threshold (set in combination with the order capacity requirement), and the fourth comparison result is obtained: if the coefficient meets the standard, the current parameter is maintained; if it does not meet the standard, the system automatically analyzes the low efficiency reason and generates parameter adjustment suggestion, to ensure that the feeding and discharging efficiency adapts to the production demand.

[0046] The third aspect of the present application provides a readable storage medium, wherein an RFID-driven material scheduling and loading and unloading control method program is stored in the readable storage medium, and when the RFID-driven material scheduling and loading and unloading control method program is executed by a processor, the steps of the RFID-driven material scheduling and loading and unloading control method according to any one of the preceding aspects are implemented.

[0047] The RFID-driven material scheduling and loading and unloading control method, system and medium disclosed by the present application, by monitoring the remaining inventory of target materials of a preset process in real time and comparing with a preset safety inventory threshold, if the remaining inventory is less than the preset safety inventory threshold, collecting real-time characteristic data of the corresponding RFID tag, processing to obtain an optimal scheduling scheme, executing material transfer according to the optimal scheduling scheme, monitoring the transfer process in real time, and adjusting the transfer path according to the congestion condition, if the target material is transferred to the target station, executing double error-proof checking measures for loading and unloading, monitoring the loading and unloading execution process and extracting control parameters, and combining with a preset demand efficiency threshold to determine whether the loading and unloading control parameters need to be adjusted, the technical problem of RFID-driven material scheduling and loading and unloading control is solved.

[0048] In several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only illustrative, for example, the division of the units is only a logical function division, and actual implementation can have another division mode, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the various components shown or discussed can be through some interface, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0049] The units described above as separate components can or can not be physically separated, and the components shown as units can or can not be physical units; they can be located in one place or distributed on multiple network units; part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment scheme.

[0050] In addition, each functional unit in each embodiment of the present application can be integrated into one processing unit, or each unit can be a separate unit, or two or more units can be integrated into one unit; the integrated unit can be realized in the form of hardware or hardware plus software functional unit.

[0051] Those skilled in the art can understand that all or part of the steps of the above-mentioned method embodiments can be completed by relevant hardware of program instructions, and the foregoing program can be stored in a readable storage medium, and the program executes the steps of the above-mentioned method embodiments when executed; and the foregoing storage medium includes various media capable of storing program codes, such as a mobile storage device, a read-only memory (ROM), a random access memory (RAM), a magnetic disc or an optical disc.

[0052] Alternatively, the integrated unit of the present application can also be stored in a readable storage medium if it is realized in the form of a software function module and sold or used as an independent product. Based on such understanding, the technical solutions of the embodiments of the present application can be embodied in the form of a software product in essence or in the form of a part of the prior art that makes a contribution, and the software product is stored in a storage medium, including a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the embodiments of the present application. The foregoing storage medium includes various media capable of storing program codes, such as a mobile storage device, a ROM, a RAM, a magnetic disc or an optical disc.

Claims

1. An RFID-driven material scheduling and loading / unloading control method, characterized in that, Includes the following steps: Real-time monitoring of the remaining inventory of target materials for preset processes and comparison with preset safety stock thresholds; If the remaining inventory is less than the preset safety stock threshold, real-time characteristic data of the corresponding RFID tags are collected and processed to obtain the optimal scheduling scheme. Material transfer is performed according to the optimal scheduling scheme, the transfer process is monitored in real time, and the transfer route is adjusted according to the congestion situation; If the target material is transferred to the target workstation, dual error prevention and verification measures for loading and unloading shall be implemented. The loading and unloading process is monitored and control parameters are extracted. Based on the preset demand efficiency threshold, it is determined whether the loading and unloading control parameters need to be adjusted.

2. The RFID-driven material scheduling and loading / unloading control method according to claim 1, characterized in that, The real-time monitoring of the remaining inventory of target materials in the preset process and the comparison with the preset safety stock threshold include: Real-time monitoring of the operation of preset processes to obtain the remaining inventory of target materials; Acquire demand-side variable data, supply-side variable data, and material characteristic variable data of the target material within a historical preset time period; Based on the demand-side variable data, supply-side variable data, and material characteristic variable data, a preset material inventory forecasting model is used to obtain a preset safety stock threshold. A first comparison result is obtained by comparing the remaining inventory with the preset safety stock threshold; Determine whether material scheduling is necessary based on the first comparison result.

3. The RFID-driven material scheduling and loading / unloading control method according to claim 2, characterized in that, If the remaining inventory is less than a preset safety stock threshold, real-time characteristic data of the corresponding RFID tags is collected and processed to obtain the optimal scheduling scheme, including: If the remaining inventory is less than the preset safety stock threshold, material scheduling is required. Collect real-time characteristic data of the corresponding RFID tags, including material urgency, order priority, equipment load rate, workstation material consumption rate, and AGV real-time position; The optimal scheduling scheme is obtained by processing the material urgency, order priority, equipment load rate, workstation material consumption rate, and AGV real-time position through a preset scheduling planning algorithm.

4. The RFID-driven material scheduling and loading / unloading control method according to claim 1, characterized in that, The step of executing material transfer according to the optimal scheduling scheme, monitoring the transfer process in real time, and adjusting the transfer route according to congestion conditions includes: Material transfer is executed according to the optimal scheduling scheme, and the transfer process is monitored in real time and the path congestion coefficient is extracted. A second comparison result is obtained by comparing the path congestion coefficient with a preset path congestion threshold; If the path congestion coefficient is greater than the preset path congestion threshold, a suitable alternative path is obtained from the preset path library, and the transfer path is adjusted accordingly.

5. The RFID-driven material scheduling and loading / unloading control method according to claim 1, characterized in that, If the target material is transferred to the target workstation, dual error prevention and verification measures for loading and unloading are implemented, including: If the target material is transferred to the target workstation, obtain the material label information and the workstation label information; The matching process is performed based on the material label information and the workstation label information to obtain the information matching degree; A third comparison result is obtained by comparing the information matching degree with a preset matching verification threshold; If the information matching degree is less than the preset matching verification threshold, the target material and the target workstation are not matched correctly, and corresponding correction measures need to be implemented. If the information matching degree is greater than or equal to the preset matching verification threshold, the material placement position is determined based on the workstation sensor and the reader.

6. The RFID-driven material scheduling and loading / unloading control method according to claim 5, characterized in that, The monitoring of the loading and unloading process and extraction of control parameters, combined with a preset efficiency threshold, to determine whether the loading and unloading control parameters need to be adjusted includes: The loading and unloading process is monitored and control parameters are extracted, including gripping accuracy, action response time, cycle time, and positioning error. Based on the grasping accuracy, action response time, cycle time, and positioning error, the loading and unloading efficiency coefficient is obtained by processing the data through a preset loading and unloading efficiency evaluation model. The fourth comparison result is obtained by comparing the loading and unloading efficiency coefficient with the preset required efficiency threshold. Based on the fourth comparison result, determine whether it is necessary to adjust the loading and unloading control parameters.

7. An RFID-driven material scheduling and loading / unloading control system, characterized in that, The system includes a memory and a processor. The memory contains a program for an RFID-driven material scheduling and loading / unloading control method. When the processor executes the program for the RFID-driven material scheduling and loading / unloading control method, it performs the following steps: Real-time monitoring of the remaining inventory of target materials for preset processes and comparison with preset safety stock thresholds; If the remaining inventory is less than the preset safety stock threshold, real-time characteristic data of the corresponding RFID tags are collected and processed to obtain the optimal scheduling scheme. Material transfer is performed according to the optimal scheduling scheme, the transfer process is monitored in real time, and the transfer route is adjusted according to the congestion situation; If the target material is transferred to the target workstation, dual error prevention and verification measures for loading and unloading shall be implemented. The loading and unloading process is monitored and control parameters are extracted. Based on the preset demand efficiency threshold, it is determined whether the loading and unloading control parameters need to be adjusted.

8. The RFID-driven material scheduling and loading / unloading control system according to claim 7, characterized in that, The real-time monitoring of the remaining inventory of target materials in the preset process and the comparison with the preset safety stock threshold include: Real-time monitoring of the operation of preset processes to obtain the remaining inventory of target materials; Acquire demand-side variable data, supply-side variable data, and material characteristic variable data of the target material within a historical preset time period; Based on the demand-side variable data, supply-side variable data, and material characteristic variable data, a preset material inventory forecasting model is used to obtain a preset safety stock threshold. A first comparison result is obtained by comparing the remaining inventory with the preset safety stock threshold; Determine whether material scheduling is necessary based on the first comparison result.

9. The RFID-driven material scheduling and loading / unloading control system according to claim 8, characterized in that, If the remaining inventory is less than a preset safety stock threshold, real-time characteristic data of the corresponding RFID tags is collected and processed to obtain the optimal scheduling scheme, including: If the remaining inventory is less than the preset safety stock threshold, material scheduling is required. Collect real-time characteristic data of the corresponding RFID tags, including material urgency, order priority, equipment load rate, workstation material consumption rate, and AGV real-time position; The optimal scheduling scheme is obtained by processing the material urgency, order priority, equipment load rate, workstation material consumption rate, and AGV real-time position through a preset scheduling planning algorithm.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes an RFID-driven material scheduling and loading / unloading control method, system, and medium program. When the RFID-driven material scheduling and loading / unloading control method, system, and medium program are executed by a processor, they implement the steps of the RFID-driven material scheduling and loading / unloading control method as described in any one of claims 1 to 6.

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