2998 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 And further through comparison with a historical reference, identifying an abnormal state according to a deviation threshold value, outputting corresponding labels and feature information, and obtaining material state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 unmanned aerial vehicle intelligent dynamic inventory algorithm, and relates to the technical field of warehouse management, the unmanned aerial vehicle flight inventory route is planned according to warehouse layout, shelf distribution and material storage area information, and non-inventory areas are marked; the unmanned aerial vehicle flies to obtain radio frequency data and material image visual data on warehouse materials; the collected radio frequency data and the material image visual data are preprocessed, feature extraction is carried out, and radio frequency features and visual features are obtained; according to the unmanned aerial vehicle intelligent dynamic inventory algorithm, through cooperative application of radio frequency and visual technology, the inventory accuracy is enhanced, radio frequency identification can accurately read material label information and obtain key data of material numbers and category codes, and a visual identification system can be used for capturing material appearance characteristics from multiple angles and multiple distances and assisting in confirming material categories and states; large-area areas in a warehouse can be efficiently checked in a short time, and smooth operation of the warehouse is guaranteed.

1. The name of the product of this design: antenna. 2. Purpose of this design product: This design product is applicable to aviation, clothing labels and luggage tags in global supply chain applications, and can achieve long-distance reading and rapid inventory of dense RFID tags. 3. The design key point of this appearance design product lies in the shape. 4. The picture or photo that best illustrates the design points: three-dimensional picture. 5. This product is a thin product and the left, right, top and bottom views are omitted.

The invention provides a substation operation risk analysis method, and relates to the technical field of information, and the method comprises the steps: recognizing whether a person correctly wears a protection device or not in real time through a radio frequency identification reader on the protection device, triggering an alarm if the person does not wear the protection device, and synchronizing the alarm information to a block chain node; the block chain is used for carrying out whole-process recording on the operation behavior of personnel, the operation state of equipment and the disposal condition of a security event to form auditing evidence of security operation, and meanwhile, according to the behavior of the personnel and the state of the equipment, a block chain node dynamically optimizes a security management strategy and an emergency plan to form closed-loop management, so that the security accident is effectively prevented, and the security management efficiency is improved. And the overall safety management level of the transformer substation is improved.

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.

The invention relates to the technical field of radio frequency identification, in particular to an online test method and system for an electronic tag. The method comprises the following steps: arranging a radio frequency signal transmitting device and a radio frequency signal receiving device on a production line, and placing a to-be-tested electronic tag at a test position; according to production line speed data and environmental parameter data; testing time sequence parameter data are generated according to the staying time of the electronic tag to be tested in the testing area according to the production line speed data; generating a test threshold according to the environmental parameter data to obtain test reference data; according to the test time sequence parameter data, radio frequency excitation signals of different frequency bands are sequentially sent to the electronic tag through the controller, response signals of the electronic tag under the corresponding frequency bands are collected, and response signal data of the electronic tag are obtained. According to the invention, a test time sequence and reference data are dynamically generated according to the production line speed and environmental parameters, diagnosis and correction optimization of multi-band response signals are carried out in real time, and a more accurate test result is provided.

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.

A high-energy efficiency, low-power consumption passive radio frequency identification tag chip. A high-energy efficiency bridge rectifier circuit is constructed in an analog circuit portion by using an NMOS transistor, and an alternating-current voltage signal is converted into a direct-current signal. Meanwhile, a three-stage amplitude-limiting circuit is added to prevent an induced voltage from being too large and thus breaking down a transistor. The load at two ends of an antenna is changed by using an encoded signal to control the MOS transistor turning on and off, and then voltage values at the two ends of the antenna are adjusted by controlling a leakage current, achieving the purposes of load modulation and signal transmission. High-precision, high-speed decoding is achieved at a digital circuit portion by using a pulse position modulation decoder. The encoded signal is generated by using a Manchester encoder based on FSM control. An anti-collision circuit is used to handle a possible situation in which a plurality of RFID tags simultaneously exist in an interrogation zone. A uniquely designed read timing control circuit is used in an EEPROM memory portion, so that the power consumption of the circuit may be effectively reduced. The described chip has the characteristics of high energy efficiency, low power consumption, and low adjustment index, and is widely applied to the field of RFID identification.

1. The name of the product of this design: antenna. 2. Purpose of this design product: This design product is applicable to aviation, clothing labels and luggage tags in global supply chain applications, and can achieve long-distance reading and rapid inventory of dense RFID tags. 3. The design key point of this appearance design product lies in the shape. 4. The picture or photo that best illustrates the key points of the design: 3D drawing of Design 1. 5. This product is a thin product, and the left, right, top and bottom views of designs 1 and 2 are omitted. 6. Designate Design 1 as the base design.

The invention discloses a storage digital twinning system integrated with a UWB-RFID technology. The storage digital twinning system comprises an entity storage, an edge server and a storage digital twinning system. The entity storage comprises a fixed UWB base station, a UWB tag, a fixed RFID base station, a passive tag and a movable RFID base station. And the edge server collects all base station equipment data of the entity warehouse, processes and calculates cargo information according to a built-in algorithm, and performs data interaction with an upper-layer warehouse digital twin system at the same time, so that the operation condition of the entity warehouse is remotely monitored. According to the system, through the ultra-wideband technology, the radio frequency identification technology and the digital twinning technology, the storage position of stored goods can be determined, entity storage data can be visualized, and the problems of low positioning precision and low informatization degree in the existing storage management technology are solved.

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.

A radio frequency identification (RFID) system includes an array of antennas to distinguish line-of-sight (LOS) paths from non-line-of-sight (NLOS) paths. The distance between adjacent antennas in the array of antennas is less than half the wavelength of the radio frequency (RF) signal of the system. Each antenna in the antenna array is also digitally controlled to change relative phase difference among the antennas, thereby allowing digital steering of the array of antennas across angles of arrival (AOAs) between 0 and π. The digital steering generates a plot of signal amplitudes as a function of AOAs. LOS paths are distinguished from NLOS paths based on the shapes (e.g., depth, gradient, etc.) of local extremes (e.g., maxima or minima) in the plot.

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.

A radio frequency identification (RFID) antenna is provided. The RFID antenna includes, but not limited to, a printed circuit board (PCB). The PCB includes, but not limited to: a substrate; an etched metal layer on the substrate, where the etched metal layer comprises: a radiating element positioned on the substrate having a loop structure, where the loop structure comprises two first chamfered edges, and the first chamfered edges are position in opposing corners of the loop structure; and a ground element positioned on the substrate having comprising a slotted structure that is concentric with the loop structure and is positioned in an inner region of the loop structure.

A smart clothing and backpack system enables a user to perform many actions. The smart clothing includes circuitry and / or is made of a conductive material enclosed in an insulation material. The smart clothing includes a set of sensors configured to detect body information. The smart clothing includes multiple electromagnets configured to adjust a size of the smart clothing. The electromagnets are configured to have an increased attraction to make the smart clothing tighter on the body of the user. The system includes a smart backpack to communicate with the smart clothing. The smart backpack includes a Radio Frequency IDentification (RFID) reader configured to detect RFID tags on or in items within the smart backpack. Many other features are able to be implemented with the smart clothing and backpack system. The smart clothing is able to include a wetsuit configured to communicate with a surfboard and / or a backpack.

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.

In general, various embodiments of the present disclosure provide methods, systems, computer-readable media, and / or the like for providing improved evaluation of read data collected from radio frequency identification (“RFID”) tags. In various embodiments, a method is provided that comprises: receiving a data frame that comprises read data collected from an RFID tag over an interval of time, the RFID tag responding to receiving a RF signal sent from an antenna in communication with a reader, and the read data comprising RSSI values; generating a linearized power value for each RSSI value to form a set of linearized power values; summating the set of linearized power values to generate a summated power value for the data frame; evaluating the summated power value to determine that the summated power value meets a target predicate; and in response, causing an action to be performed with respect to the RFID tag.

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 discloses a passive radio frequency identification-based bolt connection state monitoring device and method, and belongs to the field of spaceflight, and the device comprises a monitoring device, an RFID reader and an upper computer. The monitoring device is provided with an ID and is installed corresponding to the paired bolts and nuts to be monitored. The lower end of a shell of the monitoring device is open and is coaxially fixed to a nut, and the tail end of a screw of a bolt extends into an inner cavity of the shell. An inductance coil is packaged on the side wall of an inner cavity of the shell, the RFID module is fixed to the top of the shell, and the two ends of the coil are connected into a circuit of the RFID module to form a closed loop. The electric signal change generated when the nut rotates relative to the bolt is sensed through the coil, and bolt loosening information is obtained. The RFID module is used for monitoring electric signals in real time, the upper computer is used for issuing monitoring commands and processing data, and the RFID reader is used for establishing two-way information communication between the RFID module and the upper computer. The problem of simultaneous monitoring of the connection states of a plurality of bolts under the working conditions that the bolts are relatively small in size and relatively dense in spaceflight satellites and the installation space of a monitoring device is very limited is solved.

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.