1933 results about "Radio-frequency identification" patented technology

The invention relates to an electric power material intelligent detection method based on multi-modal data fusion, and aims to improve the accuracy and automation level of material state recognition. According to the method, in the electric power material operation or circulation process, multi-modal data such as images, infrared thermal imaging, radio frequency identification, vibration response and environmental parameters are acquired through a unified time index, and a structured time sequence data set is constructed. And after normalization and exception elimination processing, multi-dimensional feature vectors including structural strength, temperature distribution, label continuity and dynamic stability are extracted, and weighted statistics and correlation calculation are executed to generate a comprehensive state index. And further through comparison with a historical reference, identifying an abnormal state according to a deviation threshold value, outputting corresponding labels and feature information, and obtaining material state evaluation and disposal suggestions based on rule reasoning. According to the method, accurate monitoring and abnormal early warning of the electric power materials under the driving of the multi-source data are realized, and the method has good practicability and expansibility.

The invention provides a switch cabinet solid insulating material performance detection method and system based on temperature detection, and relates to the technical field of temperature detection, and the method comprises the steps: constructing a grid detection matrix on the surface of a solid insulating material, collecting real-time temperature data through a passive radio frequency identification temperature sensor, and building an initial state model; adopting a deep learning algorithm to calculate a temperature gradient value and thermal stress distribution, and constructing a performance degradation index; and the recurrent neural network is combined to predict a performance evolution trajectory, and dynamic early warning and diagnosis are realized. The performance degradation state of the solid insulating material can be accurately evaluated, the detection precision and the prediction accuracy are improved, and intelligent monitoring and early warning are achieved.

The invention discloses an RFID anti-tracking bidirectional authentication method and system based on a lightweight hash chain, and relates to the technical field of wireless radio frequency identification security. The system comprises a label initialization module, a bidirectional authentication module, an anti-tracking mechanism module, a hash chain updating module, a secure communication module and a system feedback optimization module. The label initialization module generates initial hash chain data; the bidirectional authentication module adopts a bidirectional challenge-response mechanism to generate a dynamic authentication certificate; the anti-tracking mechanism module generates an untraceable session key through Hash chain value dynamic rotation and randomization mask technology; the Hash chain updating module iteratively updates the Hash chain value; the secure communication module adopts a lightweight encryption algorithm to protect communication data; and the system feedback optimization module dynamically adjusts the hash chain length and the key strength. The real-time performance and the anti-attack capability of the RFID system are remarkably improved, and a high-safety and low-power-consumption bidirectional authentication solution is provided for Internet of Things equipment.

The invention provides an intelligent warehouse management system and method based on big data, and relates to the technical field of warehouse logistics, and the system comprises a data collection module which is used for collecting the electronic tag information, goods location coordinates and environment data of materials in a warehouse in real time through a radio frequency identification reader-writer and a wireless sensor network node, and uploading the information to a central server; the inventory early warning module is used for dynamically classifying the materials in the warehouse in the central server, calculating safety inventory intervals of various materials through historical turnover rate data, and correcting an inventory threshold value in combination with a real-time correction factor; and the positioning navigation module is used for acquiring the real-time positions of the materials according to the new safe inventory interval, and generating a goods allocation electronic map and final path navigation. According to the invention, the warehouse management efficiency and accuracy are effectively improved, the warehouse space utilization is optimized, the warehouse-in and warehouse-out operation level is improved, and visual and intelligent management is realized.

A reconfigurable intelligent surface (RIS) includes one or more radio frequency identification (RFID) tags. The one or more RFID tags may perform functions of a controller of the RIS. The one or more RFID tags receive a reference signal from a wireless communications device. The RIS may process the received reference signal and the one or more RFID tags backscatter a response signal to the wireless communications device. The wireless communications device may also perform processing of the backscattered response. Processing includes measuring channels from the wireless communication to the RFID tags. Processing also includes estimating channels from the wireless communication to elements of the RIS. Based on the estimated channels, a beam matrix corresponding to optimized weights of the RIS elements is determined and transmitted to the RIS.

The invention discloses an RFID electronic tag anti-collision processing system, which relates to the technical field of radio frequency identification and comprises an encryption module, a signal processing module and a real-time processing module. The encryption module is used for realizing label identity verification based on a hash function; the signal processing module adopts a mixed anti-collision mechanism combining a time slot ALOHA protocol and a binary tree search algorithm; the real-time processing module comprises a multi-channel parallel processing unit, and each channel is configured with an independent local frequency. According to the RFID electronic tag anti-collision system, the encryption module, the signal processing module and the real-time processing module are combined, the problem of multi-tag collision of the RFID technology in a high-density and dynamic application scene is effectively solved, the encryption module adopts a hash function and an elliptic curve encryption algorithm, safe and efficient verification of tag identities is achieved, and the security and reliability of the RFID electronic tag are improved. The innovative hybrid anti-collision mechanism of the signal processing module is the combination of a slot ALOHA protocol and a binary tree search algorithm.

The invention relates to the technical field of radio frequency identification, in particular to a customer commodity interaction behavior identification method and system based on UHF RFID. The method comprises the steps of obtaining a multivariate data set of activated scattering of RFID tags on commodities in a reading area of a retail scene, obtaining a state evaluation index according to power loss of a transmission signal so as to obtain abnormal probability distribution of each RFID tag, and the abnormal probability distribution is used for judging dynamic commodities in the retail scene and obtaining the taking times of the dynamic commodities. The UHF RFID work cards worn by the employees are introduced to confirm the interaction implementers, and the action duration, the action occurrence time sequence and the action type of each interaction action of the customer are determined, so that the interaction behavior type of the customer and the commodity is judged. According to the method, the problems that real interaction behaviors are difficult to distinguish in a complex electromagnetic environment and the anti-interference capability is weak in the prior art can be effectively solved, and reliable technical support is provided for customer behavior analysis, commodity display optimization and intelligent marketing in a retail scene.

The invention relates to the technical field of artificial intelligence, and discloses an intelligent rationing system for pig house feed supply, which comprises the following steps: performing identity recognition on pigs in a feeding area through radio frequency identification tags, and extracting weight, growth cycle and behavior characteristics; based on historical ingestion records, health data and environmental factors, a dynamic nutritional requirement model of the pigs is constructed, and the current feed requirement is predicted in combination with a multi-factor regression algorithm; according to the feed demand result, the feeding amount and the feeding frequency of the corresponding trough are adjusted in real time; dynamically adjusting the power of a conveying motor and the pressure difference of a pipeline section by utilizing a variable-frequency driving control technology; and collecting the ingestion response and the feeding execution state of the pigs, and outputting an updated pig allocation result in combination with online feedback and historical data differences. The feeding device has the advantage that the feeding stability is improved.

The invention relates to the technical field of finished automobile manufacturing, and discloses a finished automobile assembly state intelligent detection method and system based on multi-source data fusion. The method comprises the following steps: deploying a multi-source data acquisition unit, and fusing vision, force sensing and radio frequency identification data to determine a component assembly state and a process parameter deviation; a multi-dimensional verification rule is generated through the virtual assembly verification model for assembly consistency judgment; constructing a hierarchical decision-making system, and dynamically generating a node detection strategy according to the real-time data quality and the environmental interference level of the M detection analysis nodes; comparing the assembly states of the components and then outputting a finished automobile assembly quality evaluation result; and an encrypted data transmission channel is established, and node verification and intelligent detection are carried out on an evaluation result. The method integrates multi-source data, dynamically adjusts the detection strategy, guarantees the data safety, improves the precision and adaptability of the whole vehicle assembly state detection, and is suitable for a complex whole vehicle assembly scene.

The invention discloses a horizontal five-axis turning and milling composite center with a self-adaptive matching system. The horizontal five-axis turning and milling composite center comprises a tool turret, a boring tool mechanism, a tool changing area and a control system. A radio frequency identification reading device is arranged in a tool changing area of the tool turret and the boring tool mechanism, and an RFID chip tag is attached to the outer surface of each tool and used for storing tool serial numbers, specifications and length compensation parameters. And the control system realizes self-adaptive matching and sequential error correction of the cutter and the working procedure through radio frequency identification. The tool changing area is provided with a visual monitoring assembly which comprises a plurality of sets of industrial cameras, an adjustable light source and a structured light stripe illumination module and is used for detecting the clamping posture, the abrasion state and the type of a tool. The system has self-learning and digital twinning simulation functions, and can simulate the motion trail of the cutter and predict the interference risk before the cutter is changed. According to the method, integrated control over automatic tool recognition, posture correction, abrasion detection and path prediction is achieved, and the tool changing precision, the operation stability and the automation level of the horizontal five-axis turning and milling composite center are remarkably improved.

The invention provides a switch cabinet passive wireless temperature measurement system based on RFID, and relates to the technical field of power equipment temperature measurement. Comprising an RFID temperature measurement sensor for acquiring the temperature of a monitoring node in the switch cabinet, a reader-writer for reading temperature data in the RFID temperature measurement sensor through an RFID wireless radio frequency identification technology, a data transmission device for uploading the data of the reader-writer to a cloud server, and the like. According to the invention, the RFID temperature measurement sensors with built-in RFID electronic tags are arranged at each monitoring node in the switch cabinet, the internal temperature can be accurately detected, the temperature data are wirelessly transmitted to the reader-writer through the RFID technology, no extra power supply is needed, no wiring is needed, and no secondary potential safety hazard is caused.

The invention relates to the technical field of information communication, in particular to a plate warehousing method and system of the Internet of Things and a storage medium. The method comprises the following steps that an RFID reader-writer is initialized, near-field induction scanning of a radio frequency identification chip is carried out on furniture plates to be put in storage, and unique code information is obtained; performing data formatting processing on the unique coding information to obtain a standard coding query parameter; acquiring three-dimensional structure data of furniture plates to be put in storage, and identifying structural features of the plates; calling an API (Application Program Interface) of a remote data server based on the standard coding query parameters to obtain plate specification information; and performing template filling and code conversion on the plate specification information to obtain electronic tag image data. According to the invention, through integration of RFID, database synchronization, physical feature identification and path planning technologies, full-process automatic management of plate warehousing is realized, and efficiency, accuracy and data consistency are improved.

The invention discloses a wireless temperature measurement system based on the Internet of Things, and the system comprises the steps: S1, at least one temperature measurement node which comprises a temperature sensor, a radio frequency identification module, a local electromagnetic interference detection module, and a self-adaptive frequency hopping control module; s2, a wireless data transmission module which is electrically connected with the temperature measurement nodes and is used for transmitting temperature data and interference detection data; s3, the central processing unit receives the temperature data and the interference detection data through the wireless data transmission module, and stores and processes the temperature data and the interference detection data; and S4, the power supply module provides working electric energy for the temperature measuring nodes, the wireless data transmission module and the central processing unit. The system has the advantages of being stable in data transmission, high in anti-interference capability, wide in coverage range and high in temperature monitoring precision.

An ostomy appliance includes a substrate and at least one Radio Frequency Identification (RFID) circuit disposed on the substrate. The RFID circuit includes a RFID transponder having an antenna and a conductive ink connected in series with the antenna and the RFID transponder. The conductive ink is configured to dissolve in response to exposure to moisture. The RFID circuit is in a closed condition when the conductive ink extends continuously between the RFID transponder and the antenna. The RFID circuit is in an open condition when at least a portion of the conductive ink is dissolved.

The invention discloses a temperature sensing and radio frequency identification circuit integrated temperature measurement method and system, which are applied to the technical field of temperature sensor data processing, and the method comprises the steps: obtaining the response time when each temperature sensing node collects the temperature according to a corresponding first preset sampling frequency, and the signal transmission delay time of a corresponding radio frequency identification chip; correcting response time by using a compensation matrix constructed according to the signal transmission delay time sequence to obtain an adjusted response time sequence, and respectively determining a sampling configuration scheme and reference task bearing capacity corresponding to the temperature sensing node according to the adjusted response time sequence and equipment parameters; and carrying out temperature acquisition, and carrying out interpolation reconstruction and optimization on the acquired temperature value to obtain optimized temperature data. According to the method, the response speed of the distributed temperature sensing system is adjusted, and the sampling strategy is adjusted in combination with the dynamic change of the distribution characteristics of the temperature field, so that the temperature monitoring precision is improved.

The invention discloses an unmanned aerial vehicle individual countering method and system based on radio frequency identification and dynamic interference, and belongs to the technical field of unmanned aerial vehicles, and the method comprises the steps: collecting wide-band IQ data, extracting hidden features such as instantaneous frequency offset fluctuation and envelope entropy abnormity, and achieving high-dimensional embedded expression through a variational auto-encoder. Structured recognition is carried out on signals in combination with a graph neural network, the discrimination capability of frequency hopping, spread spectrum or Wi-Fi / LTE simulation signals is remarkably improved, a dynamic interference strategy is finally generated according to a recognition result, accurate recognition and intelligent suppression of illegal unmanned aerial vehicle communication are achieved, and the method is suitable for popularization and application. The technical defect that an existing system is insufficient in recognition robustness and countering effectiveness in a complex environment is effectively overcome.

The invention relates to the technical field of agricultural product supply chain management, in particular to an agricultural product supply chain information tracing method and system, and the method comprises the steps: constructing an alliance block chain architecture, employing an alliance block chain mode to absorb agricultural product supply chain participants as alliance nodes, and designing a multi-level block chain structure; the method comprises the following steps: deploying Internet of Things equipment in an agricultural product planting and breeding link and a processing link to carry out data acquisition, endowing the acquired data with a unique object identifier, and carrying out identification and recording by utilizing equipment with a two-dimensional code or an RFID (Radio Frequency Identification) tag; after identification and recording are completed, encryption processing is carried out on all data, and consensus mechanism optimization is carried out; an agricultural product supply chain information traceability query system is constructed, and consumers and supervision departments perform traceability query in all directions. The block chain and the Internet of Things are combined with the object identifier technology, so that the query efficiency of the agricultural product supply chain information is improved, and the agricultural product quality safety guarantee level is improved.

The invention discloses an augmented reality and digital product fusion display system, which can identify preset identifiers such as a two-dimensional code, a graphic code and a radio frequency identification tag through an identifier identification module, is integrated on an intelligent terminal or augmented reality equipment, is convenient for a user to operate at any time, improves the use convenience, and improves the user experience. The three-dimensional model database stores appearance structures, internal components and interactive function data, provides comprehensive product information for users and meets diversified requirements, the scene fusion calculation module realizes accurate positioning and reasonable proportion zooming of a three-dimensional model in a real scene by means of a virtual reality fusion degree calculation formula, dislocation and disproportionality are avoided, and the user experience is improved. The interactive display module supports multi-mode interaction modes such as gestures, voice instructions and equipment sensors, rich and natural interactive experience is provided, the real-time interaction function enables a user to see the influence of operation on the model in real time, interactivity and feedback are enhanced, and the digital product display effect and the user experience are integrally improved.

The invention discloses a data reading method and system based on an RFID reader-writer, particularly relates to the technical field of radio frequency identification data acquisition, and is used for solving the problem that the communication reliability of an existing RFID system is reduced due to carrier frequency deviation and multipath interference in a high-speed mobile environment. A phase change characteristic and an error rate index are obtained through double-antenna receiving signal analysis, when the error rate exceeds a limit, spatial correlation and error rate distribution difference are jointly analyzed to determine a multipath interference level, and meanwhile, a relative motion state is detected and judged through a phase track curvature characteristic. And dynamically selecting an optimal modulation coding mode to read data again according to the calculated motion speed estimated value and the interference level, thereby realizing the optimal balance between the communication rate and the reliability in the mobile environment.

A reconfigurable smart surface (RIS) includes one or more radio frequency identification (RFID) tags. The one or more RFID tags may perform a function of a controller of the RIS. The one or more RFID tags receive a reference signal from a wireless communication device. The RIS may process the received reference signal, and the one or more RFID tags backscatter a response signal to the wireless communication device. The wireless communication device may also perform processing of the backscatter response. The processing includes measuring a channel from the wireless communication to the RFID tag. The processing also includes estimating a channel from the wireless communication to an element of the RIS. Based on the estimated channel, a beam matrix corresponding to the optimized weights of the RIS elements is determined and sent to the RIS.

The invention relates to the technical field of inventory management, in particular to a supermarket intelligent shelf real-time inventory dynamic monitoring system and method based on multi-sensor fusion. The system comprises a data acquisition module, a data processing module, a model construction module, an intelligent feedback module and a layout recommendation module. The data acquisition module is used for acquiring commodity data on a goods shelf in real time, and the commodity data comprises weight change data, visual feature data, radio frequency identification and spatial position information; the data processing module is used for preprocessing the commodity data collected in real time to obtain preprocessed commodity data; the model construction module is used for constructing a real-time three-dimensional virtual model based on the preprocessed commodity data and mapping the position and state of the commodity; and the intelligent feedback module is used for generating commodity replenishment data by using the prediction model based on the pre-stored historical sales data and the preprocessed commodity data, and storing the inventory change time piece hash value.

Example wearable devices having multiple distributed radio frequency identification (RFID) antennas are disclosed. A disclosed example wearable device includes a first RFID antenna; a second RFID antenna; a processor configured to activate one of the first RFID antenna or the second RFID antenna based upon at least one of a location or a type of an RFID object external to the wearable device; and a body, wherein an RFID radio, the first RFID antenna, and the second RFID antenna are disposed at respective positions along the body. The wearable device may include the RFID radio, wherein, when the wearable device is worn, the RFID radio and the processor are disposed at one or more fingers of a user's hand, the first RFID antenna is disposed at an upper side of the user's hand, and the second RFID antenna is disposed at a user's wrist.

Certain aspects of the present disclosure provide techniques for radio frequency identification (RFID) tag singulation. Certain aspects provide a method for wireless communication by a first receiver, such as a passive RFID tag. The method generally includes receiving, from a transmitter, a first signal initiating a first inventory round and in response to receiving the first signal, backscattering a second signal to the transmitter, wherein the second signal is backscattered using resources specific to the first receiver.

A rubber coating for a radiofrequency identification device for a tyre characterized in that it comprises: (a) 100 phr of at least one diene-based elastomer; (b) at least one chemical according to formula (1) wherein the chemical comprises in its structure at least the structure of the 2,2′-methylenediphenol, and wherein the 2,2′-methylenediphenol may be substituted in ortho, para, meta position or any combination thereof with an aliphatic, linear or branched, hydrocarbon chain comprising from 1 to 10 C atoms, or may be polymerized in ortho, para, meta position or any combination thereof with one or more additional alkylphenol units. A radiofrequency identification (RFID) module for a tyre comprising a radiofrequency identification device surrounded by a rubber coating, a tyre or a tyre retread comprising such radiofrequency identification module, and use of a rubber coating for surrounding a radiofrequency identification device.

A radio frequency (RF) voltage limiter for a radio frequency identification (RFID) transponder is provided. The RF voltage limiter includes an envelope detector configured to track an envelope of a signal received at the antenna. The envelope detector has an output for providing an envelope signal. A peak detector is included and has an input coupled to the output of the envelope detector. The peak detector includes a current mirror having an input coupled to the output of the envelope detector, and an output configured to provide a control signal. A shunt circuit is coupled to provide an impedance to the antenna in response to the control signal. The impedance decreases with an increasing voltage of the control signal to limit a maximum voltage at the antenna. In another embodiment, a method is provided for limiting a RF voltage at the antenna.

The invention is applicable to the technical field of monitoring, and provides a smart monitoring method and system. The smart monitoring method includes the steps of receiving the identity information of a target object, which wears a target electronic label and is in a monitoring area, recording the time when the target object in each position, calculating the distance between the target object and a radio frequency identification reader, determining the geographical position of the radio frequency identification reader, calculating geographical position of the target object in each position according to the distance and the geographical position of the radio frequency identification reader, calculating the to-fro moving frequency of the target object according to the time of the target object in each position and geographical position of the target object in each position, and determining whether the target object is under a wandering state according to the frequency. According to the method, whether a target object wanders in a monitoring area can directly be obtained from received information, thereby facilitating monitoring of the target object and improving user experience.

Certain aspects of the present disclosure provide techniques for radio frequency identification (RFID) tag segmentation. Certain aspects provide a method for wireless communication by a first receiver, such as a passive RFID tag. The method generally includes receiving a first signal from a transmitter that initiates a first inventory check, and in response to receiving the first signal, backscattering a second signal to the transmitter, where the second signal is backscattered using a resource specific to the first receiver.

The invention discloses a microwave digestion-liquid flash spectrometer strontium isotope rapid detection system for multiple types of samples. The automatic sample injection module automatically identifies, grabs and conveys a sample by means of an image and radio frequency identification technology. The microwave digestion module is provided with a self-adaptive program, temperature and pressure are dynamically regulated and controlled through a PID algorithm according to sample characteristics, and efficient and safe digestion is ensured. The automatic separation and purification module intelligently selects a solid-phase extraction column or an ion exchange resin column to purify a sample by matching spectral analysis with a database. The liquid flash spectrometer detection module accurately collects signals by means of a high-sensitivity element and an algorithm. The data processing and control system adopts a multi-layer perceptron neural network, so that the strontium isotope content can be intelligently judged, and the source of abnormal data can be traced. In addition, the system has the functions of automatic cleaning and maintenance, emergency detection flow and remote monitoring, all the modules are connected through standardized interfaces, and the expansibility is high. The system is high in automation degree and accurate in detection, and an efficient and reliable scheme is provided for strontium isotope detection.

The invention relates to a non-inductive security monitoring method and system based on a radio frequency identification technology, and relates to the technical field of data processing. The method mainly comprises the following steps: acquiring original radio frequency data and original video data of a target area in a current time period; respectively carrying out feature extraction on the original radio frequency data and the original video data to obtain a radio frequency feature vector and a visual feature vector; performing feature vector fusion on the radio frequency feature vector and the visual feature vector to obtain a fusion feature vector; inputting the fusion feature vector of the current time period and the fusion feature vectors of N time periods before the current time period into a behavior classification model to obtain a behavior prediction result; if the behavior prediction result is limb movement, determining a limb recognition result corresponding to the current time period according to a limb recognition model; and if the behavior prediction result is gesture motion, determining a gesture recognition result corresponding to the current time period according to a gesture recognition model.

A Radio Frequency Identification (RFID) enabled Self-Checkout (SCO) station includes an RF antenna that emits RF energy, such as RFID interrogation signals, through the variable apertures of one or more aperture layers into a scan zone. The size of the scan zone is selectively varied by electrically modifying the effective size of the variable aperture in the aperture layer.