1528 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 And further through comparison with a historical reference, identifying an abnormal state according to a deviation threshold value, outputting corresponding labels and feature information, and obtaining material state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 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.

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 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 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.

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.

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.

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.

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.

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.

Techniques for echo cancellation in an RFID reader include incorporating an auxiliary error power amplifier (auxiliary PA) into the RFID reader, and dynamically adjusting a bias setting of the auxiliary PA based on a power level of a reflection of a signal transmitted by the RFID reader (“echo signal”) as measured at the RFID reader. When the measured echo signal power level is high, techniques herein set the auxiliary PA bias setting to a higher level to allow the auxiliary PA to account for the stronger echo signal. Inversely, when the measured echo signal power is low, techniques herein set the auxiliary PA bias setting to a lower level to reduce power consumption while the enabling the RFID reader to cancel echo phenomena and reliably detect signal responses from RFID tags in an environment.

The invention discloses a tray detecting and positioning method based on radio frequency identification and sensor fusion, which comprises the following steps: deploying an RFID tag matrix and multiple types of sensors on a tray to realize data space-time synchronous acquisition; fusing multi-modal data by using an improved D-S evidence theory and the like, and adaptively adjusting the importance of each modal through a dynamic weight factor; a three-dimensional space and attitude constraint equation is constructed, a Levenberg-Marquardt algorithm is used for solving, the accurate coordinates and attitude of the tray are output, and accurate detection and positioning are achieved. According to the invention, through RFID and multi-sensor data fusion and innovative algorithm processing, all-directional sensing of static and dynamic information of the tray is realized; the system can accurately position trays, adapt to a complex environment, effectively process abnormal conditions, optimize energy consumption, improve multi-tray cooperation efficiency, and improve logistics management intelligent level and operation efficiency.

Radio Frequency Identification (RFID) tags having functionalized carbon nanotubes (CNTs) engineered to change in resistance when exposed to a variety of analytes to provide an inexpensive framework for distributed sensing. For example, a printing process can be developed for liquid inks comprising CNTs, and RFID sensors can be fabricated with functionalized CNTs as the active elements. The tags can work independent of distance and can sense changes in resistance of a sensing element. The tags can include an antenna with an inductive loop and two sets of dipole arms having functionalized carbon nanotubes, and a RFID chip that separates the two sets of dipole arms. The dipole arms can capture an analyte on a plurality of sensors and generate a plurality of resonant peaks therefrom. The peaks can be analyzed by comparing the damping therebetween, or by shifting the resonant frequency of the tag to determine presence of the analyte.

The invention discloses conductive paste, a preparation method thereof and a radio frequency identification tag. The conductive paste comprises the following raw materials in parts by mass: 30-40 parts of spherical silver powder, 3-6 parts of carbon nanotubes, 20-30 parts of a resin adhesive, 40-50 parts of a diluent and 2-4 parts of a dispersant, the resin adhesive comprises polyurethane resin and an organosilicone modified acrylate monomer in a mass ratio of (8-9): (1-2), and the organosilicone modified acrylate monomer is obtained by hydrosilylation of a hydroxyl acrylate monomer and a hydrogen-containing silane compound in a molar ratio of (1.0-1.1): 1. According to the invention, the contradiction between the conductive performance and fluidity and the product flexibility of the conductive paste can be effectively solved, and the RFID product with high conductivity, printing quality and mechanical flexibility can be prepared.

The invention relates to the technical field of radio frequency power regulation and control, and provides a self-adaptive power regulation and control method and system for a radio frequency identification system, and the method comprises the steps: carrying out the intensity change analysis according to the signal distribution data of a plurality of reference tags, and generating a time sequence change feature; frequency domain transformation analysis is carried out on the time sequence change characteristics to generate a radio frequency signal attenuation information set, the radio frequency signal attenuation information set is used for metal interference source position analysis to obtain an interference source path influence relation matrix, and an initial power adjustment strategy is generated according to target transmitting power, obtained based on the relation matrix, of each reader-writer to execute transmitting power adjustment; and adaptively adjusting a power adjustment strategy according to the service label activation success rate, and analyzing and optimizing the activation efficiency based on the power consumption data of the reader-writer and the activation success times. According to the invention, the dynamic change of the application environment can be sensed in real time based on the reference tag so as to dynamically adjust the power of the reader-writer, thereby effectively adapting to the signal distribution change and the receiving direction fluctuation, reducing the system energy consumption and improving the activation efficiency.

The invention discloses a multipath effect suppression method for 2.4 GHz radio frequency identification. The multipath effect suppression method comprises a transmitting end processing flow and a receiving end processing flow. A transmitting end carries out pulse code modulation on an analog signal to obtain a digital signal, blocks the digital signal after channel coding, and distributes the digital signal to subcarriers through quadrature amplitude modulation; and generating a time domain OFDM symbol through IFFT (Inverse Fast Fourier Transform), adding a cyclic prefix and a synchronization head, converting into an analog baseband signal, and performing up-conversion, filtering, amplification and radiation. The receiving end amplifies the signal, down-converts the signal to a baseband, filters the signal and converts the signal into a digital signal; the method comprises the following steps of: synchronizing header frame alignment, recovering a coding bit stream through FFT (Fast Fourier Transform) and QAM (Quadrature Amplitude Modulation) demodulation, carrying out CRC (Cyclic Redundancy Check) after decoding and merging, returning ACK (Acknowledgement Character) if According to the method, the multipath effect can be effectively inhibited, and the integrity of received data is improved.

The invention discloses a mold life cycle management method and system based on an RFID (Radio Frequency Identification) technology, relates to the field of mold management, and in particular relates to a method and system for realizing whole-process management of a mold life cycle based on data acquisition and analysis of RFID and PLC (Programmable Logic Controller) equipment collaboration. The method comprises the following management steps: step 1, initializing mold information and binding the mold information with an RFID (Radio Frequency Identification Device); step 2, RFID reader-writer deployment and station identification are carried out; 3, mold state sensing and data filtering; 4, collecting data used in the production process; 5, RFID and PLC data fusion verification is carried out; step 6, uploading the data to the cloud and a life cycle management platform; and 7, automatically judging the state of the mold and outputting management suggestions. The problems of low recognition efficiency, inaccurate state tracking, lack of life cycle management and the like in the existing mold management process are solved, and real-time sensing, automatic statistics, state judgment, visual display and intelligent decision support of the mold in the whole life cycle are realized, so that the efficiency, accuracy and intelligent level of mold management are improved.

The invention relates to the technical field of prefabricated part construction, and discloses a prefabricated part construction safety management method based on information coding, and the method comprises the following steps: S1, building a prefabricated part information coding system; s2, performing identity binding on the prefabricated part through a radio frequency identification tag and a narrowband Internet of Things module; s3, deploying a multi-source sensor network; and S4, constructing a dynamic risk assessment model based on the Bayesian network. According to the prefabricated part construction safety management method based on information coding, a layered information coding system is used for accurately identifying prefabricated parts, and identity binding and real-time position data transmission of the prefabricated parts are achieved in combination with a radio frequency identification tag and a narrowband Internet of Things module; then, a multi-source sensor network is adopted to collect data such as component postures and environment, the data are input into the dynamic risk assessment model based on the Bayesian network, influences of various factors on risks such as falling and structural deformation are analyzed in real time, and potential risks can be predicted more accurately.

The invention discloses an intelligent express sorting machine system based on'end-edge-cloud 'cooperation and a sorting method, and relates to the technical field of logistics automation. According to the system, the multi-mode recognition device, the intelligent self-adaptive regulation and control device, the equipment connection and management module, the self-adaptive sorting execution mechanism and the logistics data intelligent analysis system work cooperatively. The multi-modal identification device integrates image identification and radio frequency identification technologies, so that the parcel identification accuracy is improved; the intelligent self-adaptive regulation and control device monitors and adjusts the working states of the conveyor belt and the sorting port in real time; the equipment connection and management module realizes deep connection between the equipment and the cloud, thereby facilitating remote monitoring and management; the self-adaptive sorting execution mechanism flexibly processes different types of packages; and the logistics data intelligent analysis system mines data value to optimize operation. The problems that an existing express sorting technology is low in efficiency, poor in accuracy, weak in adaptability and the like are solved, efficient, accurate and intelligent express sorting is achieved, and the requirements of the modern logistics industry are met.