77 results about "Wireless signal strength" patented technology

The invention relates to the technical field of wireless lighting, and provides a wireless lighting control method and system, and the method comprises the steps: obtaining a wireless signal value of a wireless mobile terminal in real time, and obtaining the wireless signal intensity according to the wireless signal value; acquiring a signal intensity change rate and a wireless signal variance in a preset time window according to the wireless signal intensity; obtaining a basic signal intensity threshold value, and obtaining a real-time signal intensity threshold value according to the basic signal intensity threshold value, the signal intensity change rate and the wireless signal variance; and comparing the wireless signal intensity with the real-time signal intensity threshold value, and controlling the state of the lighting equipment according to the comparison result. According to the method, a dynamic signal strength threshold mechanism based on the signal strength change rate and the wireless signal variance is constructed by considering the wireless signal contrast representing the wireless signal fluctuation of the equipment and reflecting the environmental interference, the real-time signal strength threshold can be adaptively adjusted, the system robustness is improved, and the real-time performance of the system is improved. And frequent switching actions of the lighting switch are avoided.

The invention discloses a dairy cow oestrus recognition system based on attitude angle and track fusion of a low-power-consumption Bluetooth ear tag. The dairy cow oestrus recognition system comprises an attitude angle acquisition terminal module, a track behavior reconstruction module, a high-frequency sampling trigger module, an edge recognition and preprocessing module, a fusion judgment and early warning output module and a cloud platform collaboration module. The system periodically collects three-axis attitude angle data through Bluetooth ear tag equipment worn on the ears of a dairy cow, reconstructs a virtual track point string in combination with wireless signal intensity, and identifies behavior trends and spatial path characteristics of individuals respectively; in a suspected state, a short-time high-frequency sampling window is automatically triggered to capture subtle disturbance behaviors, and recognition of complex behaviors such as silent oestrus, short-time oestrus and passive oestrus is achieved. The system adopts a multi-channel collaborative recognition and fusion voting mechanism to output an oestrus judgment result, has the advantages of low power consumption, high adaptation, deployability, expandability and the like, and is suitable for behavior monitoring and intelligent breeding management of a large-scale cow farm.

The invention discloses a transparent transmission type metasurface array antenna which comprises a feed source oscillator and a transparent metasurface structure. The feed source oscillator is arranged below the transparent metasurface structure and is used for transmitting or receiving electromagnetic waves; the transparent metasurface structure comprises six layers of artificial electromagnetic metasurfaces stacked in parallel, each artificial electromagnetic metasurface comprises a transparent medium substrate and a metasurface array arranged on the upper surface of the transparent medium substrate, and the metasurface array comprises a plurality of conductive pattern units arranged periodically and is used for regulating and controlling the phase of transmission electromagnetic waves. According to the embodiment of the invention, phase regulation and control alignment can be carried out on electromagnetic waves without shielding light, and the method has efficient regulation and control capability on the wavefront of the electromagnetic waves, so that the indoor wireless signal intensity is enhanced, the cost and power consumption of large-scale antenna configuration are reduced, and the economical efficiency and practicability of an antenna system are improved.

An example method for determining the distance between the network devices thereby enhancing the accuracy of location determination is presented. In one example implementation, the proposed method entails training, during a training phase, a machine learning (ML) model based on test environmental condition metrics about the network devices. Further, during an inference phase, a network controller may first determine a coarse distance between a pair of network devices using wireless signal strength between the pair of network devices, and then finetune the coarse distance to generate a refined distance using a trained ML model. Further, using the refined distance, the network controller may more accurately determine the location of a network device of the pair of network devices whose location was unknown.

The invention relates to a data sending method and device, computer equipment, a storage medium and a program product, and particularly relates to the field of communication. The method is applied to a data transmitting end, and comprises the following steps: acquiring wireless signal strength of a first communication network and a wireless negotiation rate with wireless access equipment; determining an interference state of the first communication network and a first window value of a congestion window in the first communication network according to the wireless signal strength and the wireless negotiation rate; acquiring a congestion state of a second communication network and a second window value of a congestion window in the second communication network; determining a target window value according to the interference state, the congestion state, the first window value and the second window value; and sending the target data packet to a data receiving end according to the target window value. By adopting the method, the congestion condition of the wireless communication network can be sensed according to the wireless signal strength and the wireless negotiation rate, and the network congestion problem caused by the fact that the congestion condition of the wireless communication network is not sensed in time is reduced.

Aspects of the subject disclosure may include, for example, performing signal measurements in a wireless network. An area of interest within a coverage area of the communications network may be identified based on the signal measurements. Zones within the area of interest may be further identified. Additional test measurements within the area of interest may be requested. Test devices may be dispatched to locations within the area of interest to perform the additional test measurements. Other embodiments are disclosed.

A wireless short hop assembly includes a transmitter antenna and an integrated receiver / pulser module. A receiver antenna and a pulser assembly are consolidated into the receiver / pulser module. The transmitter antenna is configured to transmit, via magnetic flux induction, a magnetic carrier wave conveying a wireless signal to the receiver antenna. When the wireless short hop assembly is deployed on subterranean drilling bottom hole assembly (BHA) such that a shock reduction tool is interposed on the BHA between the transmitter antenna and the integrated receiver / pulser module, the integrated receiver / pulser module positions the receiver antenna closer to the shock reduction tool and the transmitter antenna than if the receiver antenna and the pulser assembly were discrete. The wireless signal as received by the receiver antenna is stronger and more stable than if the receiver antenna and the pulser assembly were discrete.

An attachment management system comprises a working vehicle, a plurality of attachments, a mobile terminal, and a plurality of communication tags fixed on the attachments to communicate with the mobile terminal through a wireless signal that is compliant with a near field communication standard. The mobile terminal is switchable between a first mode to receive the wireless signals from the communication tags and a second mode to receive the wireless signals from the communication tags and to transmit attachment information. The mobile terminal displays, in the first mode, tag identifiers and a plurality of pieces of attachment information stored in the tag memories of the communication tags, and in the second mode, the tag identifiers and the plurality of pieces of attachment information stored in the tag memories of the communication tags which transmit the wireless signals each having signal intensity equal to or greater than a predetermined threshold.

An electronic device according to various embodiments disclosed in this document may include a display, a camera, and a processor operatively connected to the display and the camera. The processor may display augmented reality on the display based on an image captured by the camera, display a point moving in the augmented reality on the display in conjunction with the movement of the electronic device, recognize a point selected in the augmented reality, display a guide area including the selected point so that the point moves within a specific area, store sensor information including a geomagnetic value measured while the point moves within the guide area, store wireless signal strength information measured while the point moves within the guide area, and correct the geomagnetic value included in the sensor information using a reference direction and the direction of the electronic device at the time of measurement of the geomagnetic value. Various other embodiments may also be possible.

A waypoint may be automatically created by monitoring network wireless signal strength to assist a user of a mobile device in a non-city location in finding a previous location with known network connectivity and making an emergency call. In some embodiments, a backtracking route to a closest previous location with network connectivity is displayed on a mobile device. In some embodiments, for privacy considerations, access to waypoint information stored in a secure storage / database is restricted based on the determination of location status, and backtracking routes are displayed in stages.

The application discloses an indoor and outdoor seamless positioning method, system, device and medium, and relates to the technical field of information systems.The method comprises the following steps: acquiring the wireless signal strength of a current positioning point; judging the area type where the current positioning point is located according to the wireless signal strength; when the current positioning point is located in an indoor area, adopting a WiFi position fingerprint positioning technology to determine the position coordinates of the current positioning point; when the current positioning point is located in an outdoor area, adopting a GPS positioning technology to determine the position coordinates of the current positioning point; and when the current positioning point is located in an indoor and outdoor boundary area, adopting an indoor and outdoor fusion positioning technology based on a KNN algorithm to determine the position coordinates of the current positioning point.The application can realize the smooth transition and seamless connection of indoor and outdoor positioning.

The invention discloses a dairy cow oestrus recognition method based on attitude angle and trajectory fusion, and aims to solve the problems of recognition lag, high behavior expression heterogeneity, high energy consumption and the like in the existing oestrus recognition technology. According to the method, three-axis attitude angle data (a yaw angle, a pitch angle and a roll angle) are collected through a sensing terminal worn on the body surface of a dairy cow, and behavior trend characteristics of the dairy cow are extracted in combination with a periodically constructed virtual track point string generated based on wireless signal intensity (RSSI) or equivalent signals. The system runs in parallel through three channels of low-frequency attitude angle trend recognition, track behavior recognition and high-frequency perturbation action recognition, and outputs an oestrus recognition result by adopting a fusion judgment mechanism. And meanwhile, an intermittent high-frequency sampling mechanism is introduced, so that the balance between high-sensitivity identification and power consumption control is realized in a suspected oestrus state. The method does not need to introduce complex signal sources such as acceleration, images and sound, is high in recognition precision and low in deployment cost, is suitable for intelligent monitoring requirements of cow oestrus in a large-scale pasture, and also has the capability of identifying and migrating oestrus to other ruminants.

This invention discloses a method and device for rapid location of mobile terminals involved in crimes, specifically relating to the field of wireless signal positioning technology. It involves setting sampling points at the crime scene to acquire wireless signal strength, direction of arrival, and sampling coordinates; performing peak extraction and directional clustering to generate candidate location points; performing micro-displacement re-measurement around the candidate location points; determining the boundary orientation of obstructions based on the peak migration trajectory of the re-measured signal strength; distinguishing between leakage and reflection candidate points by registering the directional changes of the candidate location points with the boundary orientation of the obstructions; determining the terminal entity candidate region based on the asymmetric attenuation characteristics of the wireless signal strength at leakage candidate points; and combining this with consistency verification between the terminal entity candidate region and the reflection candidate points, thereby achieving rapid and accurate location of the mobile terminal involved in the crime. This invention effectively improves the accuracy and efficiency of locating mobile terminals involved in crimes.

The invention belongs to the technical field of construction project management and cloud communication, and discloses a construction project management cloud server communication method based on AI big data, and the method specifically comprises the following steps: 1, collecting and preprocessing multi-dimensional state data; network environment data of a construction site and working state data of terminal equipment are collected in real time by deploying a network detection node and an equipment end communication module through a cloud server end, and the network environment data comprise bandwidth, delay, packet loss rate, jitter, wireless signal strength and network topology connection state of each candidate communication path; the equipment working state data comprises an equipment type, a working mode, a to-be-transmitted data volume and a data priority. Dynamic adaptation of communication parameters of the construction project management cloud server is achieved through the AI big data technology, the problem that existing static configuration cannot cope with violent network fluctuation and equipment state dynamic change on a construction site is solved, and the reliability, the real-time performance and the resource utilization rate of communication are remarkably improved.

The invention discloses a wireless signal strength adjusting method, electronic equipment and a warehousing system. A control device periodically obtains wireless gateway transceiving rate data and received signal strength indication data corresponding to a target intelligent device; determining a target adjusting device from a plurality of adjusting devices used for bearing a wireless gateway antenna under the condition that the wireless gateway transceiving rate data and the received signal strength indication data obtained in any period do not meet the preset wireless signal strength requirement; and controlling the target adjustment equipment to carry the wireless gateway antenna to execute adjustment operation until the latest acquired wireless gateway transceiving rate data and received signal strength indication data meet the preset wireless signal strength requirement. The response time of wireless signal strength adjustment is shortened, the adjustment efficiency is improved, the strength of the wireless signal received by the intelligent equipment is improved, manual intervention is reduced, the self-adaptive optimization capability of a wireless communication link is improved, and the task continuity of the intelligent equipment is guaranteed.

The invention relates to an indoor wireless signal strength prediction method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: according to a three-dimensional model of an indoor area, constructing an energy flow diagram corresponding to a source node, which is used for representing wireless signal propagation paths from the source node to each target node and a wireless signal energy attenuation relationship of each wireless signal path; the target node is associated with a plurality of receiving points; acquiring a plurality of wireless signal propagation paths from the source node to each target node according to the energy flow diagram, and determining a target propagation path from the plurality of wireless signal propagation paths; wherein the contribution degree of the target propagation path to the signal intensity of the target node meets a preset condition; and based on the target propagation path, determining a ray emission direction of a receiving point associated with the target node and performing ray tracing to obtain predicted wireless signal intensity of the receiving point associated with the target node. By adopting the method, the signal strength prediction efficiency can be improved.

The embodiment of the invention provides a control method and device of a mobile storage device, electronic equipment and a computer readable storage medium, and relates to the field of smart home. The method comprises the following steps: acquiring an image frame acquired by a camera of the mobile storage device at a current time step, and converting a pixel coordinate into a first coordinate in a world coordinate system; acquiring the wireless signal strength of the terminal held by the user at the current time step, and acquiring a second coordinate of the landmark in the world coordinate system; the first coordinate and the second coordinate are fused according to the first confidence coefficient and the second confidence coefficient, and the displacement direction of the mobile storage device is obtained according to the corrected coordinate and the real-time coordinate of the mobile storage device; and acquiring point cloud data acquired by the laser radar at the current time step, and determining the displacement speed of the mobile storage device according to the distance. According to the embodiment of the invention, through combination of the image, the signal intensity and the point cloud data, the mobile storage device can automatically follow the user.

This invention discloses a spatiotemporal synchronous high-precision positioning method and system based on multi-sensor fusion, belonging to the field of positioning technology. The method includes the following steps: Step 1: Acquiring images from a visible light camera, a 3D point cloud coordinate image from a ToF depth camera, angular velocity and acceleration from an inertial measurement unit, and wireless signal strength from a wireless signal module; Step 2: Based on a pre-calibrated homogeneous transformation matrix, reprojecting the 3D point cloud coordinate image acquired by the ToF depth camera onto the image plane of the visible light camera to obtain spatially aligned coordinates; Step 3: Based on the signal strength indication received by the wireless signal module, calculating and correcting the distance observation value using a nonlinear ranging model to obtain the corrected distance observation value. This invention effectively solves the inherent defects of single-sensor positioning in complex environments through a complete spatiotemporal synchronization and multimodal data fusion framework.

A method of reducing power consumption of a first wireless communication device is described. A charge level of a battery associated with the first wireless communication device is monitored. A wireless communication session between the first wireless communication device and a second wireless communication device is maintained. Based at least in part on the charge level of the battery being within a low battery threshold range, a wireless signal strength associated with the wireless communication session is monitored. Based at least in part on the wireless signal strength reaching a power saving threshold that is above a minimum connection threshold for maintaining the wireless communication session, a power saving action associated with a wireless interface that supports the wireless communication session is performed.

The invention provides a wireless access point switching method and device, equipment, a storage medium and a program product. The method comprises the following steps: determining the wireless signal strength of a target wireless access point AP accessed by a target communication node STA; under the condition that the wireless signal strength is lower than a historical switching threshold value, determining a candidate AP set based on historical associated APs of the target STA; based on a Wi-Fi fingerprint database constructed by historical Wi-Fi information of the historical associated APs, determining the association income of each AP in the candidate AP set; and based on the association income of each AP in the candidate AP set, determining an AP to be switched in the candidate AP set, and switching the target AP accessed by the target STA to the AP to be switched. According to the invention, the parameter association income of the switching AP is determined through the constructed Wi-Fi fingerprint database, and then the access AP of the target STA is switched to the to-be-switched AP with better association income, so that the AP switching accuracy and the Wi-Fi network quality are improved.

This invention belongs to the field of intelligent low-voltage power distribution and provides a method and system for controlling the status of IoT meter switches based on dual-mode communication. The technical solution involves receiving IoT meter switch status control commands; collecting power line carrier signal strength and low-power wireless signal strength; determining the communication mode used for transmitting the IoT meter switch status control commands based on the power line carrier signal strength and low-power wireless signal strength; generating a corresponding switch component switching strategy based on the target communication mode; communicating with an external IoT switch based on a preset communication protocol corresponding to the communication mode; and generating control signals to control the opening and closing actions of the external IoT switch. This improves communication stability and reliability.

The invention relates to a wireless signal feature determination method and device, computer equipment, a readable storage medium and a program product. The method comprises the following steps: extracting an initial wireless signal feature subset corresponding to each candidate feature vector in a candidate feature vector group from a multi-source wireless signal feature set; for each preset feature screening algorithm, processing each candidate feature vector based on the preset feature screening algorithm and each initial wireless signal feature subset to obtain a local feature selection vector corresponding to the preset feature screening algorithm and a corresponding evaluation index value; and screening the local feature selection vectors based on the evaluation index values to obtain a global optimal wireless signal feature subset corresponding to the wireless signal strength prediction task. By adopting the method, the model performance of the machine learning prediction model of the wireless signal strength can be improved.

A monitoring system can be utilized to provide remote services, for example, caregiving services, to a user. The monitoring system can perform a mapping of a site and then use this information along with sensor data to determine a status of the client user. Based on the status, the monitoring system sends a notification to a contact based on a profile configuration associated with the client user. The monitoring system can use any one or more training algorithms, such as a machine learning algorithm, to determine one or more locations of a site associated with a client user. Once these locations are determined the monitoring system is able to provide to the contact accurate and reliable information about the client user so as to improve the services and quality of experience associated with the client user.

This application provides a method for determining a wireless signal strength in an area, a computer-readable storage medium, and an electronic device. The method includes: obtaining building diagram information, wherein the building diagram information comprises a position of a target signal source, a target area, size information of one or more obstacles in the target area, type information of the one or more obstacles, and image calibration information; converting the building diagram information into a polar coordinate system; determining an attenuation amount of a target pixel based on the size information, the type information, the image calibration information, and a propagation path in the polar coordinate system, wherein the propagation path penetrates at least part of the one or more obstacles; and determining a signal strength of the target pixel based on a signal strength of the target signal source and the attenuation amount of the target pixel.

The application provides a signal detection method and device of a wireless device, equipment and a storage medium. The method is applied to a wireless device, and the wireless device is at least one. If there are multiple wireless devices, the multiple wireless devices are devices under the same account. The method specifically comprises the following steps: periodically sending a wireless signal detection instruction to at least one hanging device, wherein the wireless signal detection instruction is used for instructing each hanging device to periodically determine wireless signal strength information corresponding to the wireless device; receiving multiple wireless signal strength information sent by the at least one hanging device; and sending the multiple wireless signal strength information and identification information of the corresponding wireless device to a wireless device management server, so as to instruct the wireless device management server to determine the transmission signal state of the corresponding wireless device according to the identification information of the wireless device and the multiple wireless signal strength information. The application can determine the transmission signal state of at least one wireless device under the same account, and meets the current signal detection requirement.

To ensure that the automatic door system opens properly while suppressing response delays. [Solution] The mobile robot system includes a door processing circuit that controls the door actuator of an automatic door device based on a signal from a wireless receiver of the automatic door device, a wireless transmitter that transmits a wireless signal for opening the door, and a robot processing circuit, and a mobile robot that moves around the area where the automatic door device is located. The door processing circuit is configured to perform controls related to opening the door actuator based on the strength of the wireless signal received by the wireless receiver.

The invention relates to the technical field of positioning identification, and further relates to a positioning method and device, a main control circuit board, wearable intelligent equipment and a computer program product. The method comprises the following steps: receiving real-time wireless signal strength of a plurality of wireless signal transmitting points in a target building; determining a weight corresponding to each wireless signal transmitting point according to the maximum value of the plurality of real-time wireless signal intensities and the plurality of real-time wireless signal intensities; determining signal intensity information corresponding to each floor according to the reference wireless signal intensity of a plurality of wireless signal transmitting points pre-detected by each floor, the plurality of real-time wireless signal intensity and the weight corresponding to each wireless signal transmitting point; and taking the floor with the signal intensity information meeting a preset condition as the floor where the user is located. According to the method, misjudgment of floor positioning is effectively reduced, the positioning reliability is improved, and the accuracy of floor positioning is remarkably improved.

This invention relates to the field of panoramic lens technology, and discloses a pairing method for panoramic lenses and a panoramic lens. The method involves: a gimbal controller sending a device query frame to the panoramic lens and receiving device authentication data returned by the panoramic lens; sending a motion test sequence to the panoramic lens based on the device authentication data and receiving lens motion characteristic data fed back by the panoramic lens; calculating the control delay compensation time based on the lens motion characteristic data; the gimbal controller monitoring the wireless signal strength indicators between itself and the panoramic lens in real time and inputting a handshake interval adjustment algorithm to obtain the handshake frame transmission time interval; executing the pairing handshake process and establishing a compatibility mapping relationship between the controller protocol version and the lens protocol version to generate wireless connection control parameters. This invention achieves automatic identification between the gimbal controller and the panoramic lens, eliminating the need for manual pairing operations, and improving the intelligence level and cross-brand interoperability of the gimbal control system.

Embodiments of the present disclosure relate to the generation of alarm signals based on wireless signal strength measurements between data acquisition devices, such as character readers or other mobile devices, and their respective hosts, such as their charging stations. An exemplary method utilizing this approach involves determining a received signal strength indicator (RSSI) of a wireless signal between a mobile device and a host. This determination can be made either at the mobile device or the host. Then, if the RSSI falls within a first RSSI range associated with generating a first alarm signal, at least one of the mobile device or the host generates a first alarm via its respective alarm module. Conversely, if the RSSI falls within a second RSSI range, at least one of the mobile device or the host generates a second alarm via its respective alarm module.

The invention provides a method and system for measuring the distance between a driver and a vehicle and a remote control parking control method and system. The method for measuring the distance between the driver and the vehicle comprises the following steps of: transmitting wireless signals to the periphery of the vehicle through a plurality of signal transmitting devices to search a vehicle key; the vehicle key returns the wireless signal after receiving the wireless signal; receiving a wireless signal returned by the vehicle key through a signal receiving device; the distance between the vehicle key and each signal transmitting device is calculated according to the intensity of the wireless signals transmitted by the signal transmitting devices and the intensity of the wireless signals received by the signal receiving device; and determining the distance from the driver to the vehicle based on the distance from the vehicle key to each signal transmitting device. According to the invention, the safety redundancy of remote control parking can be obviously improved, the distance measurement accuracy and reliability are high, and the research and development and production cost is low.