CN-122006885-A - Automatic control storage medium destroying machine and sorting system based on RFID and artificial intelligence

CN122006885ACN 122006885 ACN122006885 ACN 122006885ACN-122006885-A

Abstract

The invention relates to the technical field of storage medium sorting, in particular to an automatic control storage medium destroying machine and sorting system based on RFID and artificial intelligence, which integrate core modules such as automatic identification and intelligent sorting, multi-stage crushing and adjustment, effect evaluation and optimization and the like. The system realizes quick identification and accurate classification of storage media through RFID, improves sorting automation and safety, can monitor the mechanical state of a primary knife roller in real time by a multi-stage grinding and adjusting module, carries out self-adaptive adjustment aiming at abnormality, effectively ensures stable operation and energy consumption optimization of equipment, dynamically evaluates the grinding effect by an effect evaluation and optimization module based on multi-parameter intelligent analysis, fully plays the advantages of RFID and AI algorithm, realizes efficient, intelligent and stable sorting and grinding treatment of the storage media, remarkably improves the operation automation level and safety protection capability, reduces the risk of manual intervention and equipment failure, and has good popularization and application prospect.

Inventors

CHEN SIBO
Han tengfei
Gui Jinxuan

Assignees

北京航天润普科技发展有限公司

Dates

Publication Date: 20260512
Application Date: 20260324

Claims (10)

1. An automatically controlled storage media sorting system based on RFID and artificial intelligence, the system comprising: The automatic identification and intelligent sorting module is used for identifying the storage medium after RFID identification and classifying the storage medium based on the RFID identification result, wherein the classifying process comprises normal sorting process and abnormal process; The multistage crushing and adjusting module is used for crushing through multistage knife rolls after normal sorting treatment is completed, and monitoring the crushing process parameters of the primary knife rolls, so that whether the primary knife rolls are mechanically abnormal or not is judged, and the abnormal primary knife rolls are subjected to self-adaptive adjustment; The effect evaluation and optimization module is used for evaluating the crushing effect of the storage medium crushed by the primary knife roll, judging whether the crushing effect of the primary knife roll reaches the standard or not, obtaining a primary crushing effect index based on the impact power spectral density scale factor, the motor driving current harmonic energy scale factor and the motor flux linkage fluctuation scale factor, and optimally adjusting the primary knife roll and the next stage knife roll when the primary crushing effect index is lower than a primary crushing effect threshold value and simultaneously predicting the crushing effect of the storage medium before the final stage knife roll, so as to judge whether the crushing effect of the storage medium can reach the target particle size or not, and optimally adjusting and controlling the final stage knife roll if the crushing effect of the storage medium can not reach the target particle size.
2. The automatic control storage medium sorting system based on the RFID and the artificial intelligence according to claim 1, wherein the storage medium sorting process based on the RFID identification result comprises the following specific analysis processes: acquiring key parameters when the RFID identifies the storage medium, wherein the key parameters comprise the consistency of the tag return signal strength, the signal reading phase and the tag multiple reading result, and obtaining RFID identification confidence coefficient by adopting weighted fusion calculation on the consistency of the tag return signal strength, the signal reading phase and the tag multiple reading result, wherein the RFID identification confidence coefficient represents the reliability and the reliability degree of actually successfully identifying and accurately classifying the target tag; Comparing the RFID identification confidence with an RFID identification confidence threshold, so as to judge whether the RFID identification storage medium has tag data abnormality, wherein the RFID identification confidence threshold represents that the RFID identification confidence reaches the minimum value allowed in a specified range; when the RFID identification confidence is not lower than the RFID identification confidence threshold, judging that the RFID identification storage medium has no tag data abnormality, and performing normal sorting treatment; when the RFID identification confidence is lower than the RFID identification confidence threshold, judging that the RFID identification storage medium has label data abnormality, and performing abnormality processing.
3. The RFID and artificial intelligence based automatically controlled storage media sorting system of claim 1, wherein the monitoring of the primary knife roll comminution process parameters is performed by: the crushing process parameters comprise high-frequency vibration acceleration, bearing seat micro-displacement and instantaneous rotation speed deviation of the primary knife roller, and a primary knife roller mechanical abnormality index is synthesized through a weighted average fusion algorithm, wherein the primary knife roller mechanical abnormality index is used for quantifying the mechanical abnormality degree of the primary knife roller in the crushing process; The primary knife roll mechanical anomaly index is compared with a first mechanical anomaly threshold value for distinguishing a smooth running of the primary knife roll from a slightly anomalous condition and a second mechanical anomaly threshold value for defining a safety limit for the primary knife roll mechanical anomaly.
4. The automatic control storage medium sorting system based on RFID and artificial intelligence according to claim 1, wherein the self-adaptive adjustment of the primary knife roller with abnormality is carried out by the following specific adjustment process: when the mechanical abnormality index of the primary knife roller is lower than a first mechanical abnormality threshold, judging that the primary knife roller stably operates, keeping the current operation parameters, and not carrying out self-adaptive adjustment on the primary knife roller; when the mechanical abnormality index of the primary knife roller is not lower than the first mechanical abnormality threshold and is lower than the second mechanical abnormality threshold, judging that the primary knife roller is in a slight abnormal state, and carrying out self-adaptive adjustment on the primary knife roller; when the mechanical abnormality index of the primary knife roller is not lower than a second mechanical abnormality threshold, judging that the mechanical abnormality degree of the primary knife roller reaches a safety limit, and automatically executing forced safety protection measures; The self-adaptive adjustment of the primary knife roller is specifically carried out by acquiring an abnormal deviation value based on a mechanical abnormality index of the primary knife roller and a first mechanical abnormality threshold, reducing the rotating speed of the primary knife roller based on the abnormal deviation value, and synchronously reducing the feeding speed and the reversing time length of the primary knife roller, wherein the rotating speed, the feeding speed and the reversing time length are binding linkage parameters, and adopting integrated self-adaptive adjustment.
5. The automatic control storage medium sorting system based on RFID and artificial intelligence according to claim 1, wherein the evaluation of the crushing effect of the storage medium crushed by the primary knife roller is performed by the following specific evaluation process: Obtaining an impact power spectral density scale factor, a motor drive current harmonic energy scale factor and a motor flux linkage fluctuation scale factor of a primary knife roll, quantifying a weight contribution value of the impact power spectral density scale factor, the motor drive current harmonic energy scale factor and the motor flux linkage fluctuation scale factor to the primary crushing effect index by presetting effect coefficients corresponding to the impact power spectral density scale factor, the motor drive current harmonic energy scale factor and the motor flux linkage fluctuation scale factor in a control database, and finally synthesizing the primary crushing effect index by adopting a weighted average fusion algorithm, wherein the primary crushing effect index represents whether the crushing effect of a storage medium after being crushed by the primary knife roll reaches a target primary crushing effect; The impulse power spectral density scale factor represents the ratio of impulse power spectral density to defined impulse power spectral density, the motor drive current harmonic energy scale factor represents the ratio of motor drive current harmonic energy ratio to defined motor drive current harmonic energy ratio, and the motor flux linkage fluctuation scale factor represents the ratio of motor flux linkage fluctuation value to defined motor flux linkage fluctuation value; And comparing the primary crushing effect index with a primary crushing effect threshold value so as to judge whether the crushing effect of the primary knife roller reaches the standard, wherein the primary crushing effect threshold value represents the minimum value of the primary crushing effect index in a specified range.
6. The automatic control storage medium sorting system based on RFID and artificial intelligence according to claim 5, wherein the determining whether the crushing effect of the primary knife roller meets the standard comprises the following specific determining process: When the primary crushing effect index is lower than the primary crushing effect threshold, judging that the crushing effect of the primary knife roller does not reach the standard, and optimally adjusting the primary knife roller and the next stage knife roller; When the primary crushing effect index is not lower than the primary crushing effect threshold, judging that the crushing effect of the primary knife roller reaches the standard, and normally carrying out the crushing process.
7. The automatic control storage medium sorting system based on RFID and artificial intelligence according to claim 6, wherein the optimized adjustment of the primary knife roller and the next stage knife roller comprises the following specific adjustment processes: Acquiring a primary crushing deviation value based on the primary crushing effect index and a primary crushing effect threshold value, increasing the rotating speed of a next stage of knife roller based on the primary crushing deviation value, synchronously increasing the reversing time of the next stage of knife roller at the sorting feeding speed, and simultaneously increasing the rotating speed and the reversing time of the primary knife roller based on the primary crushing deviation value; In the process of optimizing and adjusting the primary knife roller, monitoring the primary knife roller mechanical abnormality index of the primary knife roller in real time and marking the primary knife roller mechanical risk index as the primary knife roller mechanical risk index, if the primary knife roller mechanical risk index is smaller than the second mechanical abnormality threshold, optimizing normally, and if the primary knife roller mechanical risk index is larger than or equal to the second mechanical abnormality threshold, limiting the optimizing amplitude of the primary knife roller to the maximum allowable value when the corresponding primary knife roller mechanical risk index is equal to the second mechanical abnormality threshold, so as to ensure the safety of system operation.
8. The automatic control storage medium sorting system based on RFID and artificial intelligence according to claim 1, wherein the crushing effect of the storage medium before the final stage knife roller is predicted, and the specific analysis process is as follows: obtaining a crushing effect standard prediction index, wherein the crushing effect standard prediction index is obtained by weighted average of impact power spectral density scale factors, motor drive current harmonic energy scale factors and motor flux fluctuation scale factors of a multistage cutter roller, and a specific evaluation mode is consistent with a primary crushing effect index evaluation mode; And comparing the crushing effect standard reaching prediction index with a crushing effect standard reaching prediction threshold value, wherein the crushing effect standard reaching prediction threshold value represents the minimum value of the crushing effect standard reaching prediction index in a specified range.
9. The automatic control storage medium sorting system based on RFID and artificial intelligence according to claim 1, wherein the optimal regulation and control of the final stage knife roller is carried out by the following specific regulation and control processes: when the crushing effect standard prediction index is not lower than the crushing effect standard prediction threshold, judging that the crushing effect of the storage medium can reach the target particle size, and not optimally regulating and controlling the final stage knife roller When the crushing effect standard reaching prediction index is lower than the crushing effect standard reaching prediction threshold, judging that the crushing effect of the storage medium cannot reach the target particle size, and optimally regulating and controlling the final-stage knife roller.
10. An automatic control storage medium destroying machine based on RFID and artificial intelligence, which is applied to the automatic control storage medium sorting system based on RFID and artificial intelligence as claimed in any one of claims 1 to 9, and is characterized in that the storage medium destroying machine comprises a sorting mechanism, a multi-stage knife roller and a control module; The sorting mechanism is used for automatically sorting the storage media according to RFID identification and intelligent analysis and guiding the storage media of different categories into corresponding processing channels; the multistage knife roller is used for carrying out step-by-step crushing treatment on the sorted storage medium, and gradually crushing the storage medium to the target particle size so as to thoroughly destroy the storage medium; The control module is used for carrying out real-time monitoring and self-adaptive adjustment on the working parameters of the multistage knife roller based on the operation state parameters and the abnormal detection results of the multistage knife roller so as to ensure the safety and stability of the crushing process.

Description

Automatic control storage medium destroying machine and sorting system based on RFID and artificial intelligence Technical Field The invention relates to the technical field of storage medium sorting, in particular to an automatic control storage medium destroying machine and a sorting system based on RFID and artificial intelligence. Background In the prior art, for destroying storage media such as paper materials, hard disks, solid state disks, magnetic tapes, optical disks and the like, methods such as physical crushing, magnetic field demagnetization, covering erasure and the like are often adopted. The partial scheme utilizes the RFID technology to carry out identity identification and tracking on the storage medium, and information acquisition and management are realized through the RFID tag. The sorting system can adopt manual or semi-automatic sorting according to the type and the security level of the medium, and combines the machine vision and artificial intelligence technology to realize automatic identification and sorting of the type of the medium. The RFID identification result and the AI algorithm can be combined, and the medium is automatically distributed to the corresponding destroying device. In the aspect of destroying equipment, the prior art has developed various types of physical destroying equipment such as a hard disk pulverizer, a solid state disk pulverizer, a tape tearing machine and the like, and equipment integrated with a demagnetizing device and an automatic feeding and discharging structure, so that automatic and continuous destroying operation is supported. For example, the Chinese patent application with publication number of CN115254634A discloses an airport luggage sorting management method, equipment and storage medium based on RFID, which comprises the steps of configuring an RFID tag for each luggage, storing corresponding flight information in the RFID tag, configuring a wearable RFID transceiver for sorting staff, storing at least one piece of flight information, reading RFID signals fed back by the RFID tag on the luggage within a range, judging whether the received flight information is successfully matched with any piece of stored flight information, sending out prompt to inform the sorting staff, confirming that the sorting staff picks up the luggage, sending out the flight information of the current luggage by using the wearable RFID transceiver in another frequency band, setting a plurality of consignment devices, each consignment device is provided with a first RFID reader, storing the flight information corresponding to the consignment device, reading the RFID signals sent out by the wearable RFID transceiver, judging whether the received flight information is successfully matched with the stored corresponding flight information, and sending out prompt to inform the sorting staff. For example, chinese patent publication No. CN113499997B discloses a sorting method, a sorting control device, a sorting system and a storage medium. The method comprises the steps of responding to a piece feeding operation, determining a target piece feeding device corresponding to the piece feeding operation, determining target subareas matched with the target piece feeding device in the sorting device based on the matching relation between the piece feeding device and the subareas, wherein each subarea comprises at least two subareas, each subarea comprises at least one sorting assembly and a reciprocating assembly corresponding to the at least one sorting assembly, and controlling one sorting assembly in the target subarea to deliver articles provided by the target piece feeding device to a container carried by the reciprocating assembly corresponding to the sorting assembly. The technology at least has the following technical problems that a traditional storage medium automatic sorting and destroying system is affected by factors such as metal medium shielding, label damage, signal interference and the like in an RFID recognition stage, recognition reliability is low, single label data is only relied on, multi-parameter fusion analysis is lacked, recognition abnormality is not found in time, sorting errors or missed detection easily occur, an automatic sorting link generally relies on manual or semi-automatic operation, sorting efficiency and abnormal response capability are limited, a real-time linkage and feedback mechanism is lacked between systems, in addition, a fixed parameter operation is generally adopted in a smashing process, real-time collection and comprehensive monitoring of multidimensional mechanical parameters such as equipment vibration, rotating speed and displacement are lacked, failure and shutdown risks are caused, meanwhile, smashing effect assessment is mostly dependent on single sensing quantity or manual experience, a systematic and quantifiable assessment method and a closed-loop optimization mechanism are lacked, smashing particle size is difficult t