40 results about "Sensor cloud" patented technology

Systems and methods are described that collect spatio-temporal data using an RFID system that is capable of locating the spatial position of a sensor, which is typically unaware of its location. Such systems and methods can be contrasted with conventional RFID systems in that they are able to determine the location of sensors in space as opposed to with respect to read zones related to the underlying RFID reader infrastructure. One embodiment includes an RFID system having a plurality of read zones and configured to obtain the spatio-temporal state of sensors within a sensor cloud, where the spatio-temporal state of each sensor includes sensor information, a time stamp, and a spatial location specified independently of the read zones of the RFID system, a spatio-temporal database configured to store spatio-temporal state of a plurality of sensors over time, and an application server configured to trigger events based upon the detection of at least one condition by applying at least one filter to the data within the spatio-temporal database.

The invention discloses a sensor cloud data transmission algorithm based on fog computing. The algorithm comprises the steps of 1), taking base stations of a sensor network layer as a fog node layer and generating Voronoi diagrams according to locations of the base stations; 2), carrying out statistics on the number of sensor nodes in various diagram regions, calculating a region node average number: the region node average=the total number of sensor nodes / the total number of the base stations, and analyzing call-in and call-out condition of the various diagram regions through combination of the region node average number; and 3), setting a scheduling algorithm among the regions. According to the algorithm, the base stations in the bottom layer network are taken as the fog nodes, the nodes cooperate with each other and are responsible for scheduling the nodes in the busy areas of the base stations to relatively idle areas, the communication capabilities among the fog nodes are utilized fully, the data is uniformly uploaded to an uploading cloud, and the network throughput is improved to the greatest extent.

The invention discloses a wireless sensor cloud gateway system for forest environment. A gateway is a hub for connecting a cloud platform with a wireless sensor network. A core control module can be synchronously updated according to a user control command or along with a task list of the cloud platform. A data acquisition module wakes up various sensor nodes managed by the cloud gateway in a heuristic node waking mode, receives data acquired by various sensor nodes in a wireless sensor network, and stores the received data. A data communication module transmits acquired data stored in the data acquisition module to the cloud platform in a wireless communication mode.

A cloud-implemented system, device, product, apparatus, and / or method for limiting wetness exposure time in an absorbent garment by providing sensor data from a sensor system including one or more absorbent garments, one or more sensors, and / or one or more processors, and receiving, by a sensor cloud, sensor data associated with one or more sensors. The method for authenticating in response to receiving sensor data, at least one attribute by correlating at least one attribute to data in a sensor cloud, validating a status of an absorbent garment based on sensor data remaining consistent for a measured period of time, and generating an action to limit wetness exposure time in an absorbent garment based on a status of an absorbent garment.

The embodiment of the invention discloses an environmental perception system which is used for an autonomous vehicle and based on a sensor network. The environmental perception system comprises multiple sensors, a cloud platform, communication equipment, a memory and a controller; multiple sensors are configured on a target vehicle and other vehicles; the cloud platform is used for acquiring othervehicles in an environment where the target vehicle is located and forming global information of the environment, where the target vehicle is located, according to local environmental information; the memory memorizes historical statistical information of the local environmental information; and the controller compares the local environmental information with the historical statistical information, then generates decision credibility of the local environmental information and forms a driving decision according to the global information and the decision credibility of the local environmental information. The technical scheme of the invention comprehensively considers the decision credibility of the local environmental information for making the driving decision as well as the global information, a more effective driving decision can be made, and safety of the autonomous vehicle is improved.

The invention discloses a hand and eye coordinate converting method of a visual positioning robot. The method is characterized in that a visual sensor cloud deck rotating when a rotating platform rotates is arranged on the rotating platform of a mechanical arm chassis, the visual sensor cloud deck is of a dual-shaft rotating structure with a horizontal rotating shaft and a vertical rotating shaft,detection data is obtained by a visual sensor on the visual sensor cloud deck, and a mechanical arm is driven by the robot to move to a target for positioning through the coordinate conversion of thedetection data between a visual coordinate system and a kinematics coordinate system. The errors caused by coordinate obtaining and converting are effectively reduced, and the method can be widely used for coordinate converting treatment of various visual positioning type robots.

The invention discloses a deep learning satellite data cloud detection method supported by hyperspectral data. The method comprises the following steps: selecting enough cloud and clear sky pixels toconstruct a hyperspectral data sample library, and performing analog computation on the hyperspectral pixel sample library according to parameters such as a spectral response function and a waveband width of a to-be-detected sensor to obtain a cloud and clear sky surface pixel library of the to-be-detected sensor; based on a Keras deep learning framework, designing a deep BP neural network for cloud detection, inputting multispectral sample data obtained through simulation into the network for training and learning, and obtaining a multispectral sensor cloud detection rule based on spectral characteristics; based on a Markov random field model, optimizing a cloud detection result by utilizing an iterative condition mode algorithm, and removing a part of misclassification and misclassification errors of cloud detection. According to the method, various sensor data are selected and compared with a cloud coverage result of artificial visual interpretation for analysis, and the result shows that the algorithm achieves a better cloud detection effect and can meet the requirements of data application for cloud detection.

The invention discloses an irrigation system based on cloud computing of the Internet of Things, including: cloud server, mobile terminal, intelligent gateway, router node and monitoring and control module, the monitoring and control module includes MCU, dust concentration sensor, illuminance sensor, humidity sensor , temperature sensor, infrared sensor and ZigBee terminal node, intelligent gateway includes coordinator node, ARM processor and communication module; dust concentration sensor, illuminance sensor, humidity sensor, temperature sensor, infrared sensor are respectively connected with ZigBee terminal node, ZigBee terminal node Connect with the MCU, the coordinator node and the communication module are connected with the ARM processor respectively, the MCU is connected with the router node through the ZigBee terminal node, the router node is connected with the coordinator node, and the ARM processor is connected with the cloud server through the communication module, The mobile terminal communicates with the cloud server.

The invention relates to the technical field of a medical teaching device, more exactly, relates to a high stimulation ventricular puncture drainage training assessment standardization patient, whichcomprises a high stimulation bareheaded adult upper body model, a cerebrospinal fluid circulation and pressure adjusting device, and an electronic monitoring alarm device; the high stimulation ventricular puncture drainage training assessment standardization patient is characterized in that the high stimulation bareheaded adult upper body model is provided with a high stimulation head, and eight ventricular puncture points commonly used in clinic are designed to be integrated puncture module which is closely matched with the puncture part and convenient to replace, and an annular electrode isarranged in the puncture module; sensors are closely distributed in a simulative brain; a voice chip, a loudspeaker, a reducing motor speed regulator, a peristaltic water pump, and a fluid storage bottle are arranged in the case; the case panel is provided with a cerebrospinal fluid circulation speed observing pipe, a resistance adjusting rotary button and a motor speed regulating rotary button, acerebrospinal fluid pressure testing pipe. When the ventricular puncture, the drainage training or the assessment effect are very vivid, the puncture module is convenient to replace, the automatic circulation pressure of the cerebrospinal fluid can be adjusted; when the puncture is wrong, the patient can automatically alarm by sound and light, thus the teaching quality is significantly improved.

The invention discloses a low-cost industrial wireless sensor selection method, anovel framework of manufacturing network is proposed, and a resource scheduler is designed to select the current information of available physical sensors to formulate the whole virtual sensor instantiation results, so that the concurrent sensing requests of all users can be mapped to the sensor cloud efficiently. Compared with the traditional direct calling physical sensor to obtain data, the invention can be better applied to the large-scale node deployment of the industrial wireless sensor network. From the viewpoint of the network manager, the method of the invention instantiates how the CPS manager selects physical sensors to instantiate the virtual sensors, so that the concurrent sensing requests of allusers can be mapped to the sensor cloud efficiently, thereby minimizing the total cost of the whole network.

The invention relates to a urine routine test sensor applied to a mobile terminal. The sensor comprises a base body; the base body is divided into an anti-fake identification area, a calibration area and a testing area; an identification module is mounted at the anti-fake identification area; a colorimetric block is mounted at the calibration area; and a urine test strip is mounted at the testing area. The printed pattern and color of each urine routine test sensor applied to the mobile terminal are different from each other, so that the sensor is hard to be counterfeited, and the anti-fake effect is good; counterfeiting, service life querying and testing processes are synchronously finished, so that not only are multiple functions achieved, but also production and operations are convenient; when a sensor cloud terminal is used, the identification effect is good, and the efficiency is high.

The invention discloses a sensor cloud data collection method for a mobile base station. The sensor cloud data collection method is characterized by comprising the steps of (1), selecting a target mobile base station, and dividing the target mobile base station into five detection regions; (2), respectively installing a main sensor at the main node position and N sub-sensors at the sub-node positions in the detection regions in the step (1), wherein N is a natural number, which is greater than 2; (3), for a stagnation point group composed of the main sensor, designing an optimal access path as the mobile path of the base station by utilizing a TSP algorithm, and, when the base station accesses the stagnation point, transmitting data into the matched main sensor position by the sub-sensor node position; and (4), counting the data transmission time T1 of each main sensor node, and the time T2 when the sub-sensor node transmits the data to the main sensor, and performing matched comparison to obtain the time difference T=T1-T2, wherein in the step (4), the time difference T is obtained; when the T is a positive number, the existing sub-nodes are reduced; and, when the T is a negative number, the positions of the existing nodes are not changed.

The invention provides a control device of an intelligent bed and an implementation method. The intelligent bed comprises an MCU control port, a sensor, a cloud end, a wireless module, an intelligentsound box, a mobile phone APP, a bed frame motor, a curtain motor, a lamp switch and a manual control port. The control device and the implementation method of the intelligent bed are reasonable in design, and can carry out intelligent joint control; when the sensor recognizes that a user snores, the back motor is lifted to intervene in snoring, and after snore is stopped, the MCU control port controls the bed frame motor to work, so that the intelligent bed is controlled to recover to the state most suitable for sleep of the human body or the preset state, and the use comfort and experience of the intelligent bed can be effectively improved.

The invention provides intelligent roadway gas monitoring equipment and method. The intelligent roadway gas monitoring equipment comprises a gas sensor, a cloud bridge serial port converter, a server, a controller, a laser radar, an IMU module, a communication module, a motor driving module, a motor and a crawler-type walking mechanism. The method comprises the following steps that according to collected point cloud data, a map of a roadway is generated by utilizing an SLAM algorithm, an LSTM model is constructed and trained according to the collected gas concentration data, long-short-period prediction of the gas concentration is realized by constructing a prediction model of the gas concentration, a path of the equipment can be automatically planned by generating the map of the roadway, the underground GPS-equipment-free autonomous navigation and mapping functions are achieved, underground gas intelligent acquisition, cloud intelligent storage and intelligent analysis and prediction are realized, and a guarantee is provided for safe, green and efficient mining of a deep coal mine.

The invention discloses a community intelligent agricultural system based on the Internet of Things. The system comprises a vegetable planting cultivation system, an aquaculture system, a domestic waste and water quality system, a cloud service port and an Internet of Things master control end, wherein the vegetable planting cultivation system comprises a vegetable planting moving frame, a vegetable planting track, a supply device, and a supply pipeline; the aquaculture system comprises an underwater bracket connected with the vegetable planting track, a feeding device and an aquaculture control sensor; the domestic waste and water quality system comprises a domestic waste and water quality processor and an aquaculture control sensor; the cloud service port is a service port and provides real-time query and early warning for the management personnel; and the Internet of Things master control end is connected with the systems and the cloud service port. According to the invention, community resources can be fully utilized, the community greening rate can be increased, a smart agriculture smart city can be built, a land planting and aquatic product integrated smart agriculture system is formed in a community, extra greening rate can be brought to community life, community energy such as sunlight and life waste can be fully utilized, useless resources are changed into useful resources, resources are fully utilized, and certain economic benefits are provided for communities.

The unmanned aerial vehicle-mounted geological radar system comprises an unmanned aerial vehicle system, the unmanned aerial vehicle system comprises an unmanned aerial vehicle, a sensor holder, a radar holder, a foresight laser range finder and a geological radar, the sensor holder is installed on the unmanned aerial vehicle, and the foresight laser range finder is installed on the sensor holder. A radar holder is installed on the unmanned aerial vehicle on one side of the sensor holder, a geological radar is installed on the radar holder, a variable polarization geological radar antenna array is arranged in the geological radar, the variable polarization geological radar antenna array comprises a substrate, a plurality of groups of orthogonal dual-polarization Vivaldi antenna transmitting sub-arrays and receiving sub-arrays are installed on the substrate, and a plurality of groups of orthogonal dual-polarization Vivaldi antenna receiving sub-arrays are installed on the substrate. A 2 * 2 antenna array is formed by a plurality of groups of orthogonal dual-polarization Vivaldi antenna array elements and a feed network, and electromagnetic waves generated by a plurality of Vivaldi antennas are superposed in time and space phases, so that the gain and directivity of an antenna system are enhanced, and the detection depth of a radar is improved.

The invention relates to an equipment energy consumption management system for remote acquisition regulation and control and a control method thereof. The equipment energy consumption management system for remote acquisition regulation and control comprises front-end equipment, an energy consumption acquisition mechanism and a cloud service center. And the front-end equipment comprises a plurality of equipment of a plurality of energy-using clients. The energy consumption acquisition mechanism comprises a gateway detector for acquiring energy consumption information of front-end equipment, a transportation meter for acquiring lost energy of the transportation mechanism, and a leakage sensor for acquiring energy leakage of energy customers. The cloud service center comprises a shared data module, a private module and an analysis module, and the private module establishes a user independent file which is selectively disclosed by a customer. According to the equipment energy consumption management system for remote acquisition and regulation, the energy consumption information of the same equipment of the same user and the public energy consumption information of the same equipment of different users are compared by acquiring a plurality of pieces of equipment of a plurality of users, so that a relatively reliable autonomous regulation method can be obtained and fed back to the front-end equipment; and the energy consumption management efficiency is improved.

The invention discloses an energy monitoring system based on Internet of things, which comprises a bottom sensor, a GPRS-DTU and a cloud server, wherein the bottom sensor is connected with the GPRS-DTU through an RS485; the GPRS-DTU uploads real-time data generated by the bottom sensor to the internet through a cloud IP and a port number; and the cloud server directly reads the real-time data uploaded by the GPRS-DTU through a full functional client and the data are saved to a database. Thus, real-time monitoring on the energy is realized.

A monitoring and gas detection information notification system includes monitoring devices and a cloud data processing device. The monitoring devices are respectively disposed at corresponding fixed positions, each of the monitoring devices includes a monitoring module and an actuator-sensor module. The monitoring module captures an image and converts the image into an image data. The actuator-sensor module is disposed in the monitoring module and includes one or more actuators for guiding a gas into the monitoring module and includes one or more sensors for generating a gas detecting data. The cloud data processing device stores and intelligently analyzes the image data and the gas detecting data to generate a processed data, and the cloud data processing device transmits the processed data to a notification processing system so as to conduct a notification of monitoring information and gas detecting information.

The invention relates to the technical field of monitoring, and discloses a network monitoring system for resident security, which comprises monitoring equipment, a video acquisition module, a monitoring center, a trigger, a temperature sensor, a cloud server and a client, wherein the monitoring center comprises a switch, a decoder, monitoring equipment, a memory, a processor and a warning module. According to the network monitoring system for resident security and protection, videos are compressed through the video acquisition module and are transmitted to the monitoring center through optical fibers, so that the video quality is not affected, a user checks the videos uploaded by the monitoring center in the cloud server through the client, so that residences of the user are monitored, the triggers are installed on doors and windows, and the users can conveniently monitor the residences. When someone opens a door or a window, the trigger is abnormal, the temperature sensor monitors the temperature in the house, and once the temperature is abnormal, the warning module in the monitoring center prompts the client through the cloud server.

The invention discloses a cloud anti-condensation control device for a refrigerator and a control method thereof, and relates to the technical field of cloud anti-condensation for refrigerators. The cloud anti-condensation control device for the refrigerator comprises an intelligent controller, an overturning beam, a heater, an environment temperature sensor, a cloud server and a cloud database, wherein the intelligent controller and the environment temperature sensor are installed on the top of the refrigerator; the overturning beam is installed on the side face of a refrigerator refrigerating chamber door body; the heater is embedded in the overturning beam; the intelligent controller is in electric signal connection with the heater and the environment temperature sensor; and the cloud server is in wireless communication connection with the intelligent controller and the cloud database. According to the cloud anti-condensation control device for the refrigerator and the control method thereof provided by the invention, the cloud database, the intelligent controller and the cloud server are used for interaction, the position of the refrigerator is obtained, and the environment parameters, the environment temperature and the environment humidity of the area where the refrigerator is located are obtained through the cloud server; and environment temperature and environment humidity parameters detected by the nearby household appliances are searched, and the heating proportion of the overturning beam and the heater is determined according to the area IP position and the environment parameter difference.

The invention provides a monitoring system of a novel rail transit intelligent pump room based on the Internet of Things technology, and the system comprises an acquisition unit which comprises a plurality of sensors which are disposed at preset points of the pump room, and are used for collecting the field data of the corresponding points; a data stack unit which is in communication connection with the plurality of sensors and a cloud server by using a wireless communication technology, and is used for acquiring the field data from the plurality of sensors and transmitting the field data to the cloud server; and the cloud server which is used for storing, processing and analyzing the field data. Correspondingly, the invention further provides the novel rail transit intelligent pump room based on the Internet of Things technology, which is provided with the monitoring system of the novel rail transit intelligent pump room based on the Internet of Things technology. According to the invention, intelligent, automatic and few-person management of the base pump room is realized through the Internet of Things technology.