188 results about "Environmental sensor" patented technology

The application belongs to the technical field of tray intelligent tracking, and particularly relates to an RFID intelligent tracking plastic tray, which comprises a tray body and an intelligent sensing electronic tag, one side of the tray body is provided with an embedding groove, and the intelligent sensing electronic tag is embedded in the embedding groove; the intelligent sensing electronic tag is integrated with an RFID chip, an antenna, at least one environmental sensor and a microprocessor; the microprocessor is used for collecting data of the environmental sensor, and the environmental data and ID information of the tag are sent to a terminal through the antenna; the environmental sensor comprises any one or a combination of multiple of a temperature sensor, a humidity sensor, an acceleration sensor, a photosensitive sensor or a vibration sensor; the device solves the problem that the current tray cannot realize intelligent tracking, and the intelligent sensing electronic tag cannot be replaced conveniently and fixed sufficiently, so that the tag falls off during subsequent transportation of the tray.

The present disclosure relates to a method and an apparatus for planning a trajectory of a vehicle. A method for planning a trajectory of a vehicle is provided. According to the method, kinematic parameters of the vehicle are detected by using at least one vehicle state sensor, and environmental parameters of the vehicle are detected by using at least one environmental sensor. A rate of change of curvature and a longitudinal jerk are estimated based on respective cost functions depending on the kinematic parameters and the environmental parameters of the vehicle. A planned trajectory of the vehicle is estimated based on the rate of change of curvature and the longitudinal jerk.

The application relates to the technical field of intelligent management, and particularly discloses a municipal road construction decision method and system, which comprises the following steps: collecting video data through a monitoring device arranged at a construction site, collecting wind speed data and humidity data through an environmental sensor; identifying a construction operation type from the video data, evaluating dust generation intensity based on the identified construction operation type, the spatio-temporal distribution characteristics, the wind speed data and the humidity data; predicting dust deposition amounts of lenses of each monitoring device according to the dust generation intensity and position information of the monitoring device; and generating a cleaning decision scheme for the monitoring device based on a time sequence change curve of the dust deposition amounts. The application can realize dust intensity evaluation of a construction site, dust deposition prediction of a monitoring device and cleaning decision generation, guarantee clear and continuous monitoring pictures, improve supervision reliability and reduce cleaning resource waste.

In summary, the present invention relates to the synchronization of sensor data, as can be used, for example, to test downstream processing of the sensor data. Three operating modes are provided for this purpose. In one operating mode, real sensor data is received from an environmental sensor and forwarded for subsequent processing according to the timing with which the sensor data is provided. In another operating mode, previously stored sensor data is forwarded according to the timing with which the sensor data is provided. Furthermore, a third operating mode is provided in which previously stored sensor data is forwarded with a timing that corresponds to the timing of other data simultaneously provided by an environmental sensor.

The invention relates to a computer-implemented method (100) for controlling a vehicle (200), comprising: Receiving (101) environmental sensor data (201) from at least one environmental sensor (203) of the vehicle (200) by a control unit (205) of the vehicle (200), wherein the environmental sensor data (201) at least partially represent an environment of the vehicle (200); Determine (103) a potentially hazardous traffic situation (207) based on the environmental sensor data (201) by a Traffic situation assessment module (209) of the control unit (205); and provision (105) of control signals (211) by the control unit (205) to execute a signal braking, wherein the signal braking has a degressive deceleration profile (213).

This invention belongs to the field of automatic control technology and discloses a real-time linkage control system for multimodal devices in a conference room. It includes a multimodal device group, a control server, and an environmental sensor group. The system solves the problem of inter-device coordination conflicts in traditional conference systems by constructing a device execution conflict model. This model, based on a resource competition conflict matrix and action mutual exclusion conflict vectors, achieves accurate identification and prediction of device operation conflicts. Control parameters are optimized to give the system environmental adaptability. A closed-loop control loop enables coordinated device operation and dynamic parameter optimization, and closed-loop feedback adjustment can evaluate and correct linkage deviations in real time. During execution, the system achieves seamless collaboration among multiple devices through techniques such as calculating operating margins and adjusting time offsets, effectively improving the intelligence level of conference room environmental control.

The application provides a flexible flagellum-driven swimming micro-nano robot and a control method thereof, and relates to the technical field of micro-nano robots.The robot comprises a head and a flexible flagellum, the inside of the head is provided with a control component, a monitoring component, a driving component and a power source, the driving component is connected with the flexible flagellum, and the method comprises the following steps: a control chip reads chemical concentration or light field intensity information detected by an environmental sensor; the collected chemical concentration or light field intensity information is compared with historical time information; the driving frequency of a micro-actuator is switched according to the comparison result; and the swimming micro-nano robot is driven to swim.The application fully utilizes the complex fluid-structure coupling behavior between the flexible flagellum and the fluid, does not need a complex steering mechanism, only needs simple information storage and logical judgment to change the swing frequency of the flagellum, and can realize the autonomous navigation movement of the micro-nano robot in a complex environment, and gradually approaches the target along a variable-parameter spiral trajectory.

Solar panel system and method for self-cleaning The disclosure covers a solar panel system (10) comprising: at least one solar panel (1); a self-cleaning mechanism (2) for the at least one solar panel (1); one or more panel sensors (4) configured to measure at least one performance parameter linked to an energy-production efficiency of the solar panel (1); environmental sensors configured to measure environmental data; a data acquisition module (6) configured to obtain the at least one performance parameter and the environmental data as a function of time; a control system (8) for controlling the self-cleaning mechanism (2), the control system (8) comprising: one or more processor configured to: predict a future weather pattern based on the obtained environmental data; and determine, based on the at least one performance parameter and the predicted future weather pattern, a time tA at which to activate the self-cleaning mechanism (2). The present disclosure also relates to a computer-implemented method for determining when a cleaning mechanism (2) of a solar panel (1) is to be activated.

This invention belongs to the field of space laser communication and deep space exploration technology, and discloses an integrated detection device for space laser communication monitoring and interaction. The device includes a main body, on which are integrated a solar panel, a navigation imaging device, a communication antenna, a communication receiver, a radar, a landing support, and functional components for communication monitoring, environmental perception, and interactive operation. This invention forms a closed-loop system through electrical, signal, and mechanical connections, enabling simultaneous execution of multiple tasks, significantly improving the device's space operation efficiency, reducing the load pressure on space launch vehicles, and adapting to the space constraints of on-orbit operations. The communication antenna and receiver achieve bidirectional signal interaction through a high-speed laser communication module and are linked with the navigation imaging device and environmental sensors to ensure stable transmission and status monitoring of laser communication signals, which is beneficial for practical applications and operations.

This application proposes an offline navigation method and system for smart terminals in dense forest environments. The method includes: performing multimodal scanning of the surrounding dense forest environment to obtain first collected data, and filtering candidate features from the first collected data in conjunction with environmental sensor data; determining the target guidance area and collection mode based on the candidate features, and adjusting the collection parameters of the data collection module according to the collection mode; guiding multimodal scanning to obtain second collected data, verifying the candidate features based on the second collected data, and obtaining effective features; deriving the relative orientation based on the effective features, and outputting the navigation result in conjunction with the local offline map. This application relies on the hardware characteristics of smart terminals to construct a dedicated offline navigation logic for dense forests. By mining the natural features commonly found in dense forest environments as the core basis for navigation, and combining multimodal collection with environmental adaptation optimization, it achieves high-precision, high-stability, and long-endurance offline navigation in dense forest environments.

A method for matching environmental sensor scans that are designed to scan an environment and provide scans of the environment. The method includes the following method step. At least one matching transformation between a scan of an environmental sensor and a reference scan of an environmental sensor serving as a reference sensor is ascertained. When ascertaining the transformation, at least one further scan of the environmental sensor and / or of a further environmental sensor is taken into account.

The application discloses an anti-interference water robot formation performance positioning system and method, which comprises a water robot cluster, a GPS positioning module, a water area visual positioning module, a short-distance sensing module, a core processing and communication module, an upper computer control platform and an environment sensor, and each module adopts a water special protection design. The positioning method comprises six steps of system initialization and parameter calibration, multi-source positioning data acquisition and preprocessing, multi-source positioning information fusion, anti-interference positioning calibration, formation positioning error correction and positioning result output and feedback. The anti-interference water robot formation performance positioning system and method can realize centimeter-level accurate positioning through the environment adaptive weighted fusion, exclusive interference calibration and global-local collaborative error correction strategy, can effectively resist complex interference, has the characteristics of strong real-time, high reliability and good practicability, and is suitable for various water robot formation performances and travel and travel performance scenes.

This invention discloses an environmental parameter sensing and adaptive adjustment system and method based on a photoconductive film. It integrates six-dimensional environmental sensors—light intensity, ultraviolet radiation, temperature, humidity, air pressure, and air quality—at the edge of the photoconductive film, and utilizes the film's directional light guidance and stray light filtering mechanisms to reduce environmental interference. The system includes an environmental sensing module, an environmental parameter processing module, a health data interface module, a correlation analysis module, an adaptive adjustment module, and an environmental early warning module. The correlation analysis module has preset environmental-health correlation patterns such as low temperature-increased blood pressure, high humidity-decreased blood oxygen, high ultraviolet radiation-skin health, poor air quality-respiratory diseases, and sudden changes in air pressure-headaches and joint pain, set based on clinical research data. The adaptive adjustment module pairs with smart home devices through a unified identity authentication center, sending control commands via Wi-Fi / Bluetooth / infrared to automatically adjust air conditioners, humidifiers, dehumidifiers, air purifiers, and lighting according to environmental parameters. The environmental early warning module supports single-indicator early warning, correlation early warning, trend early warning, and seasonal disease early warning, with customizable thresholds. The multi-environmental data fusion module uses weighted averaging and the 3σ principle for anomaly removal, integrating data from multiple devices such as mobile phones, watches, vehicles, and smart home devices. The sensors are automatically calibrated daily using meteorological bureau data, with the calibration process simultaneously linked to health data. This invention solves the problems of scattered environmental sensing devices, disconnect from health data, and inability to proactively adjust, serving as the infrastructure for intelligent health management.

A device includes digital signal processors (DSPs) and analog crossbars in communication with the DSPs. The analog crossbars are operable to dynamically adjust equalization settings based on real-time feedback from DSPs, physical media-dependent (PMD) devices, or environmental sensors. Equalization adjustments optimize signal quality by compensating for traffic conditions, environmental changes, or signal degradation. The crossbars support predictive equalization using machine learning algorithms to preemptively adjust signal properties, ensuring performance across dynamic network environments. Diagnostics and logging capabilities monitor and refine equalization performance, while auxiliary in-band channels provide low-power pathways to reduce energy consumption. These features enable efficient, high-speed data transmission with enhanced reliability and adaptability in modern networking systems.

A method for dynamically setting a detection threshold of a vehicle contact sensor of a vehicle's force management system, comprising detecting an object outside the vehicle via one or more vehicle environment sensors and then determining, based at least partially on data from the one or more vehicle environment sensors, the current path of the vehicle, the current trajectory of the object, and whether the current path of the vehicle and the current trajectory of the object intersect. The method assigns a categorization of the predicted contact of the vehicle with the external object based at least partially on the data from the one or more vehicle environment sensors and, based on the categorization, sets a trigger threshold of the vehicle contact sensor at which an energy-absorbing component is activated.

This application relates to an air conditioner, an air conditioner control method, a computer device, and a storage medium. The air conditioner includes: a compressor; an environmental sensor for detecting indoor and outdoor environmental parameters of the room where the air conditioner is located; and a controller connected to the compressor, the environmental sensor, and a cloud server, configured to: acquire the current operating parameters of the air conditioner; construct end-side time-series data based on the current operating parameters and indoor and outdoor environmental parameters; acquire cloud-side data collected from the cloud server; input the end-side time-series data and the cloud-side data collected into a pre-trained compressor frequency planning model to obtain compressor predicted frequencies corresponding to multiple preset time intervals; and optimize the pre-trained compressor frequency planning model based on the compressor predicted frequencies corresponding to each preset time interval to obtain an optimized compressor frequency planning model, thereby improving the control accuracy of the compressor frequency.

The invention relates to a computer-implemented method for determining and learning vehicle parameters of an ego vehicle (V) in the ego vehicle (V), comprising the following steps: - Recording (S1) a series of environmental representations of the environment of the ego vehicle (V) using at least one environmental sensor (2) during a defined period at different time steps; - Measuring (S2) the wheel rotation angle with at least one wheel speed sensor (3) during the defined period at different time steps; - Identifying (S3) features (6) of stationary objects (5a-5d) by analyzing the series of environment representations; - continuous localization (S4) of the ego vehicle (V) based on the detected features (6) of the stationary objects (5a-5d) at the different time steps; - Generating (S5) a first trajectory (T1) driven by the ego vehicle (V) based on the continuous localization of the ego vehicle (V); - Generating (S6) a second trajectory (T2) by calculating the distance traveled using the measured wheel rotation angles and known vehicle parameters; - Comparing (S7) the first (T1) and the second trajectory (T2) and determining deviations between the two trajectories (T1, T2); - Setting (S8) at least one of the trajectories (T1, T2) to adapt it to the other trajectory, and generating a set trajectory (TA); - Calculating (S9) vehicle parameters; - Learning (S10) the calculated vehicle parameters by updating the known vehicle parameters.

This invention relates to a membrane-based heat exchanger (MemHEX) tailored for tropical climates to address challenges in indoor air quality, thermal comfort, and energy efficiency. The device features a thermally insulated hexagonal housing that optimizes airflow, minimizing turbulence and pressure drop. At its core, a quasicounterflow arrangement of hexagonal plates is integrated with a sandwich-like assembly of expanded polytetrafluoroethylene (ePTFE) membranes and spacers. This design facilitates the efficient transfer of both sensible and latent heat while maintaining separate pathways for exhaust and supply air. The MemHEX includes supply and exhaust fans strategically positioned to ensure uniform airflow across the heat exchanger core. Environmental sensors automate fan operation, regulating ventilation based on real-time conditions such as temperature, humidity, or air quality. The system also includes high-efficiency particulate air (HEPA) filters for pollutant-free operation. Scalable and efficient, the MemHEX is suitable for residential, commercial, and industrial applications.

Method for operating an assembly of a motor vehicle, assembly and motor vehicle. The present disclosure relates generally to a method for operating an assembly of a motor vehicle, an assembly of a motor vehicle and a motor vehicle. The assembly has at least one electromechanical steering system, an environmental sensor and a closed-loop control device coupled to the electromechanical steering system and the environmental sensor. At least one road irregularity is detected using the environmental sensor, for which at least one road irregularity a position of the road irregularity matches at least one expected wheel track of a vehicle wheel of the motor vehicle. Based on the detected road irregularity, an adapted wheel track is determined for the vehicle wheel of the motor vehicle by the closed-loop control device, such that the adapted wheel track deviates from the position of the road irregularity. The electromechanical steering system is controlled in a closed loop by the closed-loop control device in such a way that the vehicle wheel follows the respective adapted wheel track.

The present invention relates to a picking module (3) reversibly coupled to an industrial vehicle (2), particularly an autonomous industrial vehicle, for automatic object picking. The picking module (3) includes: a travel mast (7) which can be arranged on and reversibly coupled to a load receiving device (4) of the industrial vehicle (2); a robotic arm (8) and a receiving tool (9) connected to the robotic arm (8) for receiving objects, wherein the robotic arm (8) is arranged on the travel mast (7) in a liftable manner; wherein the picking module (3) has an environmental sensor (11) configured to detect the environmental area of ​​the picking module (3) and generate a sensor signal; and the picking module (3) has a communication interface configured to communicate with the controller of the industrial vehicle (2) and transmit the generated sensor signal to the controller of the industrial vehicle (2).

This invention relates to the field of anti-misoperation interlocking systems and provides an intelligent diagnostic method for anti-misoperation interlocking systems in new energy power plants. The method includes: constructing and dynamically updating a topology model representing the real-time electrical connections of the power plant by real-time access and fusion of multi-source state information from the power grid data acquisition system, relay protection devices, intelligent grounding wires, and environmental sensors; based on this, using a knowledge graph reasoning model to traverse and detect conflicts in a static anti-misoperation rule base to diagnose logical vulnerabilities; combining historical operational data with a machine learning model to identify potential risk patterns and rule blind spots to improve diagnostic results; analyzing the time-series data of locks and sensors using a predictive model to identify hardware performance degradation trends and fault risks; and finally, synthesizing all the above diagnostic and identification results to generate a structured report. This effectively improves the safety level and adaptive reliability of new energy power plants in complex operating environments.

This invention discloses a high-precision geographic data system device and its multi-source data fusion processing method, belonging to the field of geographic information acquisition technology. The data collector adopts a modular design, including a multi-frequency GNSS positioning module, a multi-sensor collaborative system, a data processing and fusion module, a power supply and communication module, and a rugged structure. The GNSS module, combined with an IMU unit, achieves centimeter-level RTK positioning and maintains continuous positioning through inertial navigation and visual SLAM even in signal-blocked environments. Environmental sensors provide weather correction to improve elevation accuracy; the image unit synchronizes with the GNSS second pulse to achieve image marking. The outer shell employs layered electromagnetic shielding and IP67 protection design, and the antenna bracket allows for stepless adjustment of the elevation angle to reduce multipath errors. The system supports 5G and LoRa adaptive communication, enabling real-time data upload and edge fusion processing. This invention has the advantages of high positioning accuracy, strong environmental adaptability, and high data acquisition efficiency, and is suitable for scenarios such as surveying, emergency rescue, and geographic monitoring.

Method for detecting an impairment of an environment sensor (10) by means of a ring-shaped resonator (1) arranged in the direction of radiation of the environment sensor (10), comprising the steps: - setting a resonance frequency on the resonator (1), - determining a damping and / or shift of the resonance frequency, and - determining the impairment of the environment sensor (10) from the determined damping and shift.

Technology is configured to monitor correct utilization of a dispensed substance, including dispensing units having environmental sensors. For example, this may include soap dispensers configured to monitor handwashing activity, and toothpaste dispensers configured to monitor brushing activity. Embodiments include both base units that are configured to operate with separate dispensing containers, and containers having electronic components built in.

A device for determining a roadway model of a roadway traveled by a motor vehicle is described. The device is configured to determine, at a first measurement point, a set of detected lane markings on the roadway based on sensor data from one or more environmental sensors of the motor vehicle, and to determine marking information relating to each individual detected lane marking from this set of detected lane markings based on the sensor data. The device is further configured to assign at least a portion of the detected lane markings from this set of detected lane markings to a set of lane boundaries of a basic roadway model using an assignment method and taking the marking information into account, in order to determine the roadway model.