88 results about "Passive sensing" patented technology

Various aspects of the present disclosure relate to passive sensing in wireless communications. An apparatus (e.g., a user equipment (UE), a network entity (NE)) receives measurement configuration for performing a passive sensing measurement, performs a passive sensing measurement based at least in part on the received measurement configuration, and transmits information pertaining to the passive sensing measurement.

The invention relates to the technical field of optical cable monitoring, and discloses an optical cable early warning method based on passive sensing integration, and the method comprises the steps: carrying out the passive sensing signal collection of an optical cable disposed in a target region, so as to obtain a disturbance signal transmitted along the optical cable; performing preprocessing operation on the disturbance signal to obtain a normalized disturbance signal sequence; meanwhile, environment data are collected through a multi-parameter sensor network; preprocessing the disturbance signal and the environment data, constructing a multi-dimensional feature vector containing gas concentration sudden change features, temperature distribution abnormity and vibration frequency-amplitude, performing disturbance event identification based on the multi-dimensional feature vector, and determining corresponding disturbance event data; and combining the disturbance event data with the spatial distribution of the optical fiber sensing signal and the vibration wave propagation time difference, positioning the positioning result data corresponding to the occurrence of the abnormal event, generating an early warning instruction based on the positioning result data, and pushing the early warning instruction to the user terminal through the monitoring platform. According to the invention, the accuracy of optical cable safety monitoring can be improved.

The invention provides a passive perception radar target classification method and system based on electromagnetic detection feature extraction, and the method comprises the steps: carrying out the multi-dimensional signal decomposition of an original scattered signal sequence through obtaining an electromagnetic radiation signal set of a target region; obtaining a time-frequency distribution feature set and a polarization response feature set corresponding to each signal acquisition period, extracting a target electromagnetic feature combination from the time-frequency distribution feature set and the polarization response feature set according to a preset electromagnetic feature association rule, generating a weight distribution parameter, and performing weighted fusion processing on the target electromagnetic feature combination to obtain a target electromagnetic feature combination; and the fusion feature vector set is input into an adaptive classification network, hierarchical classification operation is performed on the fusion feature vector set, the category identifier of the target scatterer and the corresponding classification confidence are output, and a radar detection optimization instruction is generated based on the category identifier and the corresponding classification confidence. According to the method, high-precision distinguishing of multiple types of scatterers is achieved under the passive sensing condition, and meanwhile the environmental adaptability and the calculation efficiency of the classification process are guaranteed.

The invention discloses a bolt pretightening force monitoring and early warning method, system and device applied to a hydroelectric generating set and a medium, and relates to the technical field of power equipment monitoring and early warning. Signal information which is generated by the passive sensing assembly in the bolt service process and reflects the stress state is collected; the receiving device carries out data reverse acquisition on energy excitation emitted by the passive sensing assembly through radio frequency energy coupling, and the sensing assembly sends signal information to the receiving device located in a bolt adjacent region in a wireless mode; edge-level preprocessing and cloud-level trend analysis are carried out on the received signal information, a self-learning threshold model based on historical data is established, and the bolt pre-tightening state is analyzed. According to the method, the passive sensing assembly is embedded, a state driving type sampling mechanism is introduced, a data processing framework with edge and cloud collaboration is constructed, and dynamic sensing and intelligent early warning of the bolt pretightening force of the hydroelectric generating set in the whole operation process are achieved.

The invention discloses a mechanical arm wireless energy transmission method and system with a direction neutralization strategy, and relates to the technical field of wireless energy transmission. Receiving a magnetic field signal through a passive sensing module, extracting three-dimensional coordinates, directions and energy states of nodes in combination with node feedback, and constructing a three-dimensional space layout diagram; the low-power-consumption intelligent control module judges an energy supply scene and calculates an optimal alignment attitude of a coil in a single-source scene, and a multi-source scene divides an energy supply area through clustering, calculates a geometric center, finely adjusts the direction according to node energy and power weight, and screens an unshielded suboptimal path according to an obstacle avoidance scene; the control module sends an instruction to the mechanical arm servo system and the coil driving module, and a coil is adjusted to a target posture and structure; and comparing the data with the optimal value, preferentially storing energy for the low-electric-quantity nodes, and timely correcting the attitude for the nodes with sufficient energy. According to the method, through passive sensing, a direction neutralization strategy and dynamic correction, the transmission efficiency and the energy supply reliability are improved, and the multi-scene wireless energy transmission requirement is met.

The present invention discloses a passive sensing device and method based on an intelligent reflective surface, wherein the device comprises an intelligent reflective surface and a sensor. The method comprises the following steps: the electromagnetic wave emitted by the wireless communication access point is reflected by the target after propagating through the free space, and the reflected signal is reflected twice when passing through the intelligent reflective surface. The control of the secondary reflection process is achieved by adjusting the relevant parameters of the intelligent reflective surface, and the sensor receives the secondary reflection signal, and uses the signal to achieve the perception of the space target; through the interference removal method based on the atomic norm, the interference signal can be suppressed, and the effective target echo signal can be extracted; finally, the receiving signal matrix is ​​constructed based on the Hankel matrix, and the perception of the space target is achieved based on the MUSIC method. The present invention improves the target perception performance of the communication perception integrated system, while reducing the overall system cost.

Disclosed in the present invention is an active and passive collaborative sensing fusion method for a dual-function radar communication system. The method comprises: 1, embedding a dedicated sensing symbol in a signal sent by a base station; 2, using an optimization problem to solve power distribution; 3, a receiving access point receiving a passive sensing signal, and using a whitening filter to process direct path interference, such that the direct path interference becomes white noise; 4, the receiving access point using a generalized likelihood ratio detector to determine whether there is a target, and then the receiving access point and the base station transmitting a binary decision result and a target detection probability to a fusion center; and 5, the fusion center performing vote aggregation on received information, and determining whether there is a target. The present invention can improve the accuracy and efficiency of target detection, target positioning and environment information acquisition and reconstruction, and may significantly improve the performance of a wireless communication sensing network.

Various embodiments disclose passive directional multi-gigabit (DMG) sensing for object detection with millimeter Wi-Fi beacon frames. The DMG sensing comprises collecting a schedule of the multidirectional mmWave Wi-Fi beacon transmissions including times and directional sector of each mmWave packet in the directional beam training. Further, values of an occupancy map of an environment are evaluated statistically using a model connecting the schedule of the beacon transmissions with intra-packet measurements and inter-packet measurements of reflections of the multidirectional mmWave Wi-Fi beacon transmissions. These values of the occupancy map are then used to determine parameters of an object in the environment.

The invention provides a low-altitude aircraft-oriented air safety conflict early warning method and system, and the method comprises the steps: respectively detecting the signals of all low-altitude aircrafts in a region based on an active detection network and a passive sensing network, and obtaining first detection information and second detection information; performing matching verification on the first detection information of the same low-altitude aircraft based on the second detection information of the same low-altitude aircraft to obtain detection information after matching verification, and calculating position change tracks of any two low-altitude aircrafts within a preset time interval based on the detection information after matching verification of each low-altitude aircraft; performing intersection point judgment based on the position change trajectory to obtain a trajectory intersection point judgment result between any two low-altitude aircrafts; if the track intersection point exists in the track intersection point judgment result, sending out a leading air safety conflict early warning signal; and if the track intersection does not exist in the track intersection judgment result, not sending out the leading air safety conflict early warning signal. According to the invention, the reliability and comprehensiveness of low-altitude leader safety management are improved.

The present invention relates to the technical field of sensing and monitoring, and provides a method for monitoring the settlement of solid fuel based on the cooperation of implanted optical fibers and wireless passive sensors. The present invention uses fiber Bragg grating sensors implanted in the inner surface layer of solid fuel to calibrate a wireless passive sensor array, enabling the wireless passive sensors to have accurate strain monitoring capabilities. The present invention uses a wireless passive sensor array that has been strictly calibrated and encapsulated to monitor the settlement of solid fuel, avoiding the problem of low accuracy of the settlement amount obtained through simulation. The present invention does not require drilling holes and laying wires on the solid engine housing, overcoming the damage to the engine structure caused by conventional wired and active methods, and having a high safety factor. The implanted fiber Bragg grating calibration method used in this invention has the advantages of being easy to implant, small in size, high in precision, simple in wiring, and not requiring disassembly after calibration compared with other electrical sensors. During the calibration process of the present invention, mutual interference between signals is avoided, and the system measurement is more accurate.

The invention relates to the fields of passive Internet of Things, artificial intelligence and the like, in particular to a time series data intermittent learning method and system based on time attention. Aiming at the problem of time series data processing in a passive sensing monitoring environment, samples meeting conditions are selected by adopting a variational inference guided adaptive batch selection and dynamic sample re-calibration method, then feature fusion is carried out based on a time attention mechanism in combination with a Bi-GRU algorithm, and the execution sequence of different modules in a machine learning task is considered, so that the time series data processing efficiency is improved. The whole model learning process is divided into a feed-forward layer, a back propagation layer and a feature fusion layer for hierarchical learning, a time-series data intermittent learning prediction mechanism based on time attention is proposed to ensure the precision of time-series data prediction, and a local optimal solution is searched on a limited decision domain to solve the problem of action state explosion.

The invention provides a trapped person position state analysis method and system, and relates to the field of data processing. According to the method, building structure distribution, conductive fluid flow channels and metal component distribution in a disaster target area are constructed to form a background entropy flow ground state, and noise intensity probability distribution, a channel joint fluctuation relation and a time stability index are counted to generate a background entropy flow field. In the search and rescue stage, a background entropy flow field is converted into a controlled mode through active disturbance, multi-physical channel noise responses before and after disturbance are collected through a multi-field passive sensor network, and a multi-dimensional local entropy response vector is constructed. And combining the consistency, directivity and duration of the multi-noise channel to identify an initial suspected region and extract an entropy anomaly core region, finally inferring metabolic activity and posture limitation conditions according to a local entropy response cooperative relationship in different disturbance modes, and outputting a position state result of the trapped person. By implementing the technical scheme provided by the invention, the position state of the trapped person can be accurately identified.

The invention relates to the technical field of agricultural information and intelligent sensors, and discloses a farmland soil moisture content real-time monitoring method based on multi-sensor fusion. The method comprises the steps that passive sensing nodes integrating water content, temperature, conductivity and water potential sensors are arranged, soil micro-vibration is converted into electric energy through a piezoelectric energy collection module and stored in a super capacitor, and low-power-consumption wide-area synchronous communication is achieved through the narrowband Internet of Things; and the cloud carries out time alignment, abnormity elimination and fusion processing on the multi-source data to generate a soil moisture status field, and outputs an irrigation decision in combination with a crop growth model. According to the invention, high-precision, self-powered and maintenance-free soil moisture content in-situ monitoring and intelligent irrigation closed-loop control are realized.

Apparatuses, systems and methods of providing a smart container. The smart container contains a consumable, and includes: a container body; a label affixed to the container body; and a passive sensing tag (PST) embedded in the label. The PST includes: a backscatter antenna; a radio-frequency identification (RFID) communicative with the backscatter antenna; and at least one sensor communicative with the backscatter antenna. Responsive to a ringing from a radio frequency transceiver, the backscatter antenna provides the RFID and data from the at least one sensor. The RFID and the data are then processed to provide usage information of the consumable to a user via a dashboard available at least on a smartphone and on a desktop.

The invention relates to a passive driving microcapsule movement color development method, and belongs to the field of sensor detection. According to the method, sweat generated during movement of a human body drives a photovoltaic device to spontaneously generate electric potential, the electric potential directly acts on microcapsule dispersion liquid to drive directional movement of black and white particles in the microcapsule dispersion liquid, and visual color development response without an external power source is achieved. The method mainly comprises the steps of sweat induced power generation, particle electrophoresis driving and ion concentration associated color development. The problems that an existing sweat detection technology depends on an external power source, the equipment size is large, and real-time visual reading cannot be achieved are solved, and the device is mainly applied to the fields of real-time sweat electrolyte analysis in exercise physiological monitoring, autonomous color development change of wearable medical equipment, passive sensing display integrated systems based on ion concentration gradient and the like.

The application discloses a kind of laser warning device passive sensing space non-cooperative target state calculation methods, first establish the relative motion state model of our satellite and enemy satellite and laser warning device observation model, then obtain observation angle information, according to the initial relative state quantity and initial relative state quantity error estimation value of our spacecraft and enemy satellite according to observation angle information, according to the relative state information between our satellite and enemy satellite is obtained according to the relative motion state model of our satellite and enemy satellite, laser warning device observation model and initial relative state estimation value and its error estimation value, again the relative state information between our satellite and enemy satellite is filtered and estimated, finally the estimation value of target satellite motion information is obtained, the position and velocity information of enemy satellite can be high-precision estimation.

The present application relates to the technical field of wireless passive sensing, and discloses a differential sensing system for metal crack detection and a quantitative detection method thereof, which comprises an RFID reader-writer and a passive RFID differential sensing tag; the passive RFID differential sensing tag comprises a communication antenna, an RFID chip, an impedance matching network, a planar inductive sensing module, a radio frequency switching module, an energy recovery module and a data processing unit; the impedance matching network is connected between the communication antenna and the RFID chip; the planar inductive sensing module comprises a reference planar inductor and a sensing planar inductor; after double-state alternate sampling of the reference sensing, difference is performed, so that environmental disturbances such as reading and writing distance, sensor posture, multipath and temperature drift are significantly suppressed, and differential noise suppression is realized; the switching module is powered by the energy collection antenna, voltage doubling rectification and charge management module in the energy collection management module, battery maintenance is avoided, and passive operation is realized.

The invention provides a target reconstruction method and system based on passive sensing radar echo signals, and the method comprises the steps: obtaining a passive sensing radar echo signal set of a target scene, the passive sensing radar echo signal set comprising a plurality of echo signal sequences; performing signal preprocessing operation on the passive sensing radar echo signal set to obtain a preprocessed radar echo signal set; multi-level feature extraction operation is executed on the preprocessed radar echo signal set, a multi-dimensional state feature set of the target object is generated, and the multi-dimensional state feature set comprises scattering characteristic features, motion correlation features and environment interference suppression features; and calling a pre-trained target state analysis model to carry out state transition modeling processing on the multi-dimensional state feature set, generating a reconstructed state vector of the target object, and carrying out reverse mapping based on the reconstructed state vector to obtain a geometric parameter set and a motion parameter set of the target object.

The invention discloses a variable reluctance type proximity sensor with high reliability. The variable reluctance type proximity sensor comprises a target; the induction unit comprises a shell and an induction assembly, the induction assembly comprises a magnetic core, an excitation coil and a printed board, the excitation coil is wound on the framework through an enameled wire and arranged on the magnetic core, the excitation coil and the magnetic core are integrally inserted into the bushing ring, and the excitation coil is led out of the shell after being connected with the printed board. The whole induction assembly is encapsulated in the shell through sealant. The excitation coil generates an alternating magnetic field under the action of an excitation signal, and when the target is close to the induction surface of the induction unit, the magnetic resistance in the magnetic field is changed, so that the self inductance of the excitation coil is changed; the excitation coil is connected with the detection circuit, and inductance value changes of the excitation coil are obtained through the detection circuit and converted into electric signals capable of representing the approaching state of the target to be output. An integrated packaging structure is adopted, components and passive sensing assemblies are not arranged inside, good reliability is achieved, approaching / departing position detection can be achieved by installing the target on a detected object, and the target can be suitable for various complex and long-distance position detection.

The invention provides an animal health digital supervision method and system based on big data, and relates to the technical field of digital supervision, and the method comprises the steps: collecting animal health full-chain data, and customizing a passive sensing tag of an RFID chip; the fingerprint ear tag information is preprocessed, supervision partitions are divided, and processed data are collected to the corresponding partitions; calculating a comprehensive risk value of each partition and risk traceability information associated with the fingerprint ear tag; according to the comprehensive risk value, the risk hazard degree and the inter-partition interference coefficient, the depth risk value of each partition is calculated; and synchronizing the original data containing the comprehensive risk value and the depth risk value to the block chain mini node, carrying out hash encryption, binding the encrypted data with the tag physical fingerprint to generate a tamper-resistant evidence storage record, and caching off-line data. According to the invention, big data, the Internet of Things, the block chain technology and animal health supervision business are deeply fused, and standardized and precise management of supervision data is realized.

The invention provides a traffic flow density monitoring system and method based on passive resonant cavity modulation, and belongs to the technical field of traffic monitoring, the traffic flow density monitoring system comprises a portal frame fixedly installed on a road, a passive sensing unit connected to the portal frame and a base station; the passive sensing unit comprises a resonant cavity and a cantilever beam used for connecting the resonant cavity with the portal frame; the base station comprises a radio frequency module and a signal processing unit, and the radio frequency module is used for transmitting a radio frequency inquiry signal with a specific frequency to the passive sensing unit and receiving a radio frequency signal reflected by the passive sensing unit; and the signal processing unit is used for processing and analyzing the received reflected radio frequency signal, identifying a vehicle passing event by detecting the change of the resonant frequency, and calculating the traffic flow density based on event statistics. According to the invention, accurate, low-power-consumption and low-cost traffic vehicle density monitoring is realized.

The present invention discloses a broken wire test and on-line monitoring system and method for a lightning protection wire of a wind turbine blade, including a blade and a lightning protection wire arranged inside the blade, and the lightning protection wire is arranged from the tip of the blade to the root of the blade; it is characterized in that a passive sensing system is arranged at the tip of the blade, and a high-frequency electromagnetic pulse device is arranged at the root, and the high-frequency electromagnetic pulse device includes a high-frequency sensor; a unit edge terminal device is arranged at the hub; the high-frequency electromagnetic pulse device loads a high-frequency electromagnetic pulse signal onto the lightning protection wire, and after receiving the electromagnetic pulse through the passive sensing system, a carrier high-frequency pulse with a coding feature is sent out by a passive control chip, and is reversely coupled to the tip of the lightning protection wire through the sensor and propagates along the lightning protection wire to the root, and the carrier pulse signal is collected by the high-frequency sensor at the root, and if the coding of the complete carrier high-frequency signal can be received, it is determined that the lightning protection wire is not broken; through this set of system and method, the lightning protection system of the wind turbine blade can be monitored in real time, with high efficiency, and the detection can be carried out without shutting down the machine, reducing the economic loss caused by the detection.

Systems and techniques are provided for sensing and device tracking. For example, a process can include obtaining first sensor data from a plurality of sensors configured with a first sensor operation mode and included in a tracker device of a plurality of tracker devices. Neighbor context information can be determined for the tracker device based on passive sensing data included in the first sensor data, and can be indicative of a placement of the tracker device relative to one or more additional tracker devices included in the plurality of tracker devices. An updated sensor operation mode can be determined for the tracker device in response to one or more changes in the neighbor context information, the updated sensor operation mode different from the first sensor operation mode. Second sensor data can be obtained from the plurality of sensors based on configuring the tracker device with the updated sensor operation mode.

According to one aspect of the present disclosure, there is provided a computer-implemented method of determining a configuration of a projectile launching device, the method includes receiving first data from a passive sensor; determining a first location of a detected object based on the first data; determining a second location based on the first location; and determining a configuration of the projectile launching device to propel a projectile to collide with the detected object in the second location.

The invention discloses a pressure sore prevention activity monitoring system which comprises a body position monitoring patch, a radio frequency transceiver and a monitoring terminal. The body position monitoring patch comprises a pressure sore prevention patch, a passive sensing chip embedded in the pressure sore prevention patch, a radio frequency antenna and a height position detection sensor; the radio frequency transceiver is in radio frequency connection with the passive sensing chip through the radio frequency antenna, and the radio frequency transceiver is in wireless connection with the monitoring terminal; the two pressure sore preventing patches are correspondingly attached to the left and right sides of the human skin; and when the relative height position change difference values of the two height position detection sensors within a preset time range are both smaller than an alarm preset value, the monitoring terminal outputs an alarm. The body position monitoring paste is not provided with a battery or an external power supply, so that the whole body is small, exquisite, light and thin, the body position monitoring paste is attached to the skin of a user, and the user does not feel foreign body sensation easily, so that the body position monitoring paste is safe and comfortable to use, two body position monitoring paste bodies are adopted for cooperative monitoring, the turning-over monitoring accuracy can be greatly improved, and the turning-over state can be remotely monitored; therefore, informatization linkage can be realized.

The present application relates to the technical field of anti-interference navigation signal deception, in particular to an anti-interference navigation signal deception waveform design optimization method and system; the system extracts space-time features by listening to the internal communication signals of the target network; the core is to use the extended Kalman filter to iteratively solve the network topology state in reverse, and combine the virtual constellation parameters to construct a systematic deception quality index; the optimal deception waveform is determined by optimizing the parameters to maximize the index; the system also corrects the topology state and strategy weight based on the deception effect error closed loop; the present application realizes the transition from open-loop blind deception to dynamic passive sensing, and solves the problem of being unable to perceive the target topology.

The invention provides an ultrasonic sensor and a preparation method thereof, an underwater ultrasonic detection system and an application method, a single-mode fiber-multimode fiber-grapefruit type photonic crystal fiber cascade structure is adopted, a PDMS elastomer is locally filled in a photonic crystal fiber, a built-in solid-gas Fabry-Perot interference cavity is formed, an external vibrating membrane is not needed, and the ultrasonic sensor is simple in structure and convenient to operate. Therefore, the structure is simplified, and the manufacturing cost is reduced. By optimizing welding parameters and a PDMS filling and curing process, stable and efficient preparation of the sensor is realized. The design enables the sensor to have high sensitivity and broadband ultrasonic response capability, and PDMS built-in packaging improves environmental durability and measurement stability. The all-fiber passive sensing mode has the advantages of electromagnetic interference resistance, miniaturization and narrow space measurement adaptation, the system is easy and convenient to build, and the system is suitable for ultrasonic detection under complex environments such as underwater and high-temperature environments.

The present invention provides a passive sensing system, which relates to the field of RFID. In the present invention, a passive sensing tag is installed on a substance to be detected. When the tag receives a polling signal from a signal processing device, based on the characteristic that the impedance of its own sensing antenna changes with the environment, the tag feeds back an echo signal to the signal processing device, the amplitude and phase of which change with the impedance of the sensing antenna and include the tag identity data. Thus, the signal processing device can send the currently fed-back echo signal of the same passive sensing tag and its pre-stored echo signal in the daily environment to a main control device. The main control device displays the currently corresponding echo signal and the pre-stored echo signal of the same passive sensing tag, enabling the user to know the identity data of the corresponding tag and the environmental change situation around it by comparing signals on the main control device side, and reducing the implementation cost of sensing communication.

Aspects of the disclosure relate to systems and methods for receiving, by a first user equipment (UE), a message comprising at least one of: reference signal information (RS-info) relating to one or more reference signals (RSs) corresponding to line-of-sight (LoS) signals targeting a receiver other than the first UE, and / or data-decoding information relating to data scheduled for purposes of on-going communication with a second UE, and not scheduled for purposes of on-going communication with the first UE. The disclosure also relates to systems and methods for monitoring for at least one of: encoded signals based on the data-decoding information, and / or for one or more RSs based on the RS-info. Other aspects, embodiments, and features are also claimed and described.

The invention discloses a displacement and speed integrated sensor which is novel and reasonable in structure, a linear displacement measuring part is based on the LVDT sensor principle, the linear displacement measuring part and a speed passive sensing part are rigidly connected to ensure the synchronism of movement, and based on the design, the displacement and speed of a measured object can be directly observed at the same time, and the measurement accuracy is improved. The method is mainly suitable for occasions with high requirements for linear servo control, and the fluctuation problem and the speed phase lag problem caused by differential speed calculation can be fundamentally eliminated. Displacement is measured by adopting an LVDT principle, speed is measured by adopting a passive induction principle, the whole sensor adopts a tandem structure, a speed measuring rod is formed by a radially magnetized annular permanent magnet and a magnetic conductive rod, main magnetic flux can be effectively restrained without providing an external excitation signal, magnetic leakage can be reduced, interference of the magnetic leakage to speed gain parameters can be reduced, and the measurement accuracy is improved. And the measurement accuracy of the sensor is improved.