221results about How to "Achieve perception" patented technology

The invention discloses an automatic driving environmental perception system based on vehicle-road coordination. The system includes a roadside sensor, a roadside processing unit and a roadside communication unit which are arranged on a road segment divided according to a set distance. The roadside sensor includes a camera, a laser radar, and a microwave radar, and is used for acquiring road information of a road. The roadside processing unit is used for receiving the road information acquired by the roadside sensor, recognizing and processing the road information, then converting the road information into a united world coordinate system, fusing and marking the converted data in a high-precision map, splicing the high-precision maps of adjacent road sections to form semantic road environment information, and transmitting the semantic road environment information to the roadside communication unit. The roadside communication unit is used for sending out the semantic road environment information by using wireless communication technology. The automatic driving environmental perception system, by using the roadside sensor, updates the high-precision map in real time according to theacquired road dynamic characteristic data on the basis of the original high-precision map, so as to provide a global environmental perception capability for the safe driving of an autonomous vehicle.

The invention discloses a construction equipment Internet of Things system and method based on the blockchain technology. The system comprises a plurality of Internet of Things nodes, a plurality of blockchain nodes, a plurality of intelligent terminals and a plurality of user terminals, the detection of various environmental information in the building and the monitoring of electrical equipment can be achieved, data are stored in the blockchain nodes in a distributed manner, a data transmission process is encrypted by using the asymmetric encryption technology, and data sharing is performed through a smart contract. According to the construction equipment Internet of Things system and method disclosed by the invention, the blockchain technology is combined with the Internet of Things technology, the consensus mechanism, distributed storage, asymmetric encryption and smart contract of the blockchain technology are applied to the Internet of Things, and many problems faced by the current Internet of Things are solved.

The invention discloses a multi-target tracking method based on millimeter-wave radar. The method comprises acquiring point cloud data by millimeter-wave radar; clustering the point cloud data to distinguish the echo signals of different targets; and estimating the state information of multiple observed targets according to a clustering result so as to track the multiple targets. The method improves a DBSCAN clustering algorithm according to the characteristics of the millimeter-wave radar, improves the accuracy of esimating the number of the targets and the states of the targets, and predictsand tracks the trajectories of the multiple targets in a complex environment by using a Kalman filter and data association algorithm.

An arrangement, for reproducing audio data of an acoustic scene, adapted for generating audio signals for at least a first and a second headphone channel of a headphone assembly, the audio signals corresponding to at least one audio object and / or sound source in the acoustic scene comprising at least one given close range and at least one given distant range arranged around a listener, the arrangement comprising a first headphone channel; a second headphone channel; a basic channel provider comprising at least a basic system adapted for reproducing audio signals corresponding to at least one audio object and / or sound source arranged in at least one distant range; a proximity channel provider comprising at least a proximity system adapted for reproducing audio signals corresponding to at least one audio object and / or sound source arranged in at least one close range.

The present disclosure relates to a virtual keyboard based content input method and apparatus, and a touch device, and belongs to the technical field of terminal input. The method comprises: detecting a touch operation corresponding to a virtual keyboard; according to a touch position of the touch operation and a relative position between keys of the virtual keyboard, controlling a touch feedback module group to send key position feedback information; and when the touch operation conforms to a triggering condition of target keys and touch pressure of the touch operation is greater than a pressure threshold, inputting content corresponding to the target keys, and controlling the touch feedback module group to send key travel feedback information. According to the method disclosed by the present invention, the problem of misoperation easily caused by using the virtual keyboard to carrying out an input operation in associated technologies is solved; and perception to the key position and the key travel by a user can be realized, the content corresponding to the target keys can be triggered to input only in the conditions of accurately touching the target keys and applying certain pressure, and misoperation caused by using the virtual keyboard to carry out the input operation is effectively reduced.

The invention provides a tobacco logistics distribution system and method. The tobacco logistics distribution system comprises an unpacking device, a sorting system, transfer containers, casing equipment, an information identity card reader-writer, a central control server and a handheld terminal. The tobacco logistics distribution system is used for sorting and distributing tobacco for customer orders in a tobacco logistics center, the transfer containers with RFID (radio frequency identity) tags are used for distributing the tobacco, and full sensing during cigarette distribution is realized. Each transfer container is provided with an RFID tag, and cigarette order information of the transfer containers is written into the RFID. In order to distribute customer identity cards to the customers, scanning time and places are recorded by scanning the RFID tags of the transfer containers and the customer identity cards during distribution, and orders can be distributed within the preset time and places and are well documented, so that tobacco distribution time and places are monitored, and tobacco logistics distribution speed is effectively guaranteed. By reading and checking the RFID content of the transfer containers in important logistics sites, cigarette in the transfer containers can be traced and managed.

The invention discloses an execution function evaluating and training system for autism spectrum disorder children, wherein a problem of evaluating and training the execution function of the autism spectrum disorder children is settled by means of advanced man-machine interaction technology and brain information sensing technology. The execution function evaluating and training system comprises the components of a student intelligent terminal, a portable electroencephalogram, a portable set-top-box, a cloud server and a parent handheld smart phone. The functional units are connected through wireless communication technology, wherein the student intelligent terminal provides a user interaction interface and records a user face expression image and spatiotemporal dynamics behaviors of buttons in real time. The portable electroencephalogram records the brain wave rhythm of the user. The data set-top-box is a system data collecting and analyzing center and analyzes the collected data through an algorithm for realizing sensing and estimating of the execution function on the user. Furthermore the man-machine interaction interface is constructed for realizing execution function training based on the analysis. The parent handheld smart phone acquires the execution function evaluating and training result of a child through the cloud server.

The invention provides a grid security risk assessment method and model based on situation awareness. Decision-making objectives of dispatchers serve as cores, situation awareness technology is applied to grid security risk assessment, active prospective grid situation awareness abilities and blackout security defense abilities of the dispatchers are greatly improved, the asset utilization rate of grids can be increased, and strong, economical, secure and superior objectives of the smart grids are achieved. The method includes the steps: firstly, perceiving grid situations; secondly, understanding the grid situations; thirdly, forecasting the grid situations.

The invention discloses a self-service vending machine automatic inventory management system and method based on image recognition. The system comprises a self-service vending machine provided with anautomatic lifting platform, and the automatic lifting platform is provided with a camera shooting device capable of shooting goods on the outmost end goods position of a goods channel of a goods supplementing position or a goods selling position; the self-service vending machine, the camera shooting device and the automatic lifting table at each vending position are provided with a local controlsystem, and the local control systems are connected with a cloud service system through the internet. After the camera shooting device shoots images of the outermost end goods of the goods supplementing position or the goods selling position of the self-service vending machine, an on-sale commodity database of the self-service vending machine is updated after the images are recognized to serve asthe latest inventory of the self-service vending machine. The variety of commodities capable of being sold can be greatly increased, and customer-oriented full-automatic inventory intelligent recognition and perception are achieved.

The invention discloses an all-flexible resistive touch and pressure perception sensor and a manufacturing method thereof. The all-flexible resistive touch and pressure perception sensor is characterized in that a pressure perception sensor and a touch perception sensor are formed on a lower flexible substrate through a layer-by-layer assembly technology; the pressure perception sensor and the touch perception sensor are connected by an upper flexible substrate, and are shaped as a flat half-sphere as a whole; and the upper touch perception sensor is of an interdigital electrode structure, and the lower pressure perception sensor is of an upper and lower electrode structure. The all-flexible resistive touch and pressure perception sensor of the invention can be used to measure small-range touch force and large-range pressure force, and the accuracy of measurement of different ranges is ensured. Moreover, all the structures of the sensor are flexible, all leads are led to the bottom, and the phenomenon of tedious and ugly leads is avoided.

The invention provides an intelligent substation state monitoring system based on ubiquitous power Internet of Things. The system comprises a sensing layer, a network layer, a platform layer and an application layer, and is characterized in that the sensing layer comprises a plurality of sensors for acquiring state data of each power device in a substation, and an intelligent inspection device; data collected by the sensing layer is transmitted to the network layer in a wireless communication mode; the network layer integrates the state data, collected by the sensing layer, of power devices,and transmits the integrated state data of the power devices to the platform layer in a wireless communication mode; the platform layer transmits the received state data of the power devices to the application layer in a wireless communication mode; and the application layer comprises a plurality of visualization devices and is used for achieving visualization of state monitoring data of all powerdevices in a transformer substation. According to the invention, real-time monitoring and risk assessment of the power devices in the transformer substation are realized, and the comprehensive perception ability of workers to the equipment in the transformer substation is improved.

The invention relates to a device for monitoring the position and movement of a brake pedal, comprising a master cylinder with an integrated position detector for monitoring the position of a movable piston in a housing, in particular for use with a driving dynamics regulation In the controlled braking system of a motor vehicle of the device, wherein the position detector has a magnet as a signal generator, which emits a magnetic field in the direction of a sensor element, which is fixedly arranged on the housing and Can be connected to an electronic control unit. In order to monitor the pressure rod piston during driving dynamics regulation, it is proposed to arrange the magnet between two pistons and to displace it relative to at least one piston. During braking, the magnet can be displaceable relative to the piston if the piston is immovable relative to the housing due to the closing of the separation valve during driving dynamics regulation.

The invention aims at providing an encryption method and encryption equipment applied to key security. The method comprises the steps of acquiring a unique identification character string of a mobile application from service equipment, and generating a data key of the mobile application; and then statically encrypting the data key according to an encryption algorithm and macro definition, and dynamically encrypting the data key according to a preset hash function and acquired MAC addresses and user passwords of user equipment. According to the method and the equipment provided by the invention, the data key of the mobile application is statically encrypted, which ensures that the data key of the mobile application can be only acquired the application including a macro definition encryption process, and thus application binding of the data key is achieved; the data key of the mobile application is dynamically encrypted, so that user equipment binding of the data key is achieved, even the MAC addresses of the user equipment are tampered to be two pieces of consistent user equipment with the inconsistent user passwords, the data key can still be not cracked and thus business data in the mobile application canoe be acquired, and user perception of the data key can be achieved.

Disclosed is a touch-visual substitution system based on the electric stimulation, which belongs to the medical device technical field. In the invention, the acquired character and image information is transmitted to an image processing unit by an image acquisition unit; the image processing unit processes the image information pre-correction towards the acquired image, improves the image quality and then carries out the image information simplification, enhancement, encoding processing, so as to enable the image information to be converted into an electrical signal for a stimulator; the stimulator is controlled to generate multi-channel stimulation pulses with certain requirements according to the stimulation information; a stimulation electrode array acts on the human body skin to generate touch sense, and the stimulator provides certain adjusting function for users.

The invention provides a power supply business hall intelligent service robot based on a cloud platform and a service method. The power supply business hall intelligent service robot based on the cloud platform mainly comprises an intelligent robot body and the cloud platform; the intelligent robot body consists of a head part, a body and a chassis; the robot body comprises a central control module, a mobile module, a human-computer interaction module and a charging device to realize comprehensive sensing of people, machines and objects on a business hall site; and therefore, good service interaction experience is provided for power customers and business hall business personnel. A cloud service control platform is constructed to realize interconnection and communication of each business hall intelligent service robot within the entire province scope and comprehensively improve the intelligence level of a business hall. Information pooling analysis and comprehensive sharing between thebusiness halls are realized, and multi-source polymerization, intelligent classification, quick search and accurate service marketing service knowledge system is formed. The business hall business handling is more convenient and accurate so that the business hall working efficiency is enhanced; and moreover, 24-hour security regulation can be realized so that the safety in the business hall is enhanced.

The embodiment of the invention provides an end-side-cloud architecture-based community fire monitoring system. The community fire monitoring system comprises 6LoWPAN wireless sensing networks, cloudgateways and a cloud platform, wherein the 6LoWPAN wireless sensing networks have a fire risk sensing function; the cloud gateways are connected with the 6LoWPAN wireless sensing networks and is connected to the cloud platform through the 6LoWPAN wireless sensing networks; the cloud gateway performs data transmission based on an MQTT protocol; and the cloud platform utilizes a community fire fuzzyneural network early warning model and the edge calculation of the cloud gateway to realize real-time early warning and control of fire risk. According to the embodiment of the invention, the low-cost arrangement of the fire monitoring network is realized, the signal quality is improved, and the reliability is enhanced; the data transmission of the wireless sensing networks and the cloud platformis carried out through the single MQTT protocol, and the data transmission efficiency and the timeliness of fire early warning are improved; and the perception, transmission, analysis, early warningand control of the fire risk of the community are comprehensively realized.

The invention provides a pet robot and a robot control system. The pet robot comprises a shell and a master control board arranged in the shell and further comprises a voice interaction module, an image collection device, an expression display module, an action execution part and a sensor assembly which are connected with the master control board. The sensor assembly obtains environmental parameters of the external environment. The voice interaction module conducts voice identification and generates a voice identification result. The mater control board generates an action instruction according to the voice identification result and controls the action execution part to execute the action instruction. The image collection device obtains video information or image information of the external environment and sends the video information or the image information to the master control board. The expression display module generates expression image data according to the video information or the image information sent by the master control board. By adoption of the pet robot and the robot control system, the problems that existing robots are low in intelligent degree and incomplete in function, and emotion interaction is difficult to achieve are solved.

The invention provides a smart city big data management system, and relates to the technical field of smart cities, and the system comprises: a big data center station which is used for collecting city big data provided by city infrastructures, carrying out the preprocessing of the city big data to obtain preprocessed big data, and storing the preprocessed big data to form a city brain database; acollaborative sharing platform which is used for carrying out capacity encapsulation and protocol adaptation on the capacity components, abstracting the capacity components into atomic energy, and providing services to the outside through an open communication interface so as to support business applications of different technical systems to call and interact with the preprocessed big data; and an auxiliary decision application which is used for carrying out artificial intelligence analysis according to a pre-generated adaptive decision analysis engine set and the preprocessed big data, and displaying an analysis result to an urban manager through an urban instrument panel so as to monitor an urban operation state in real time and provide technical support for decision making of the urbanmanager. According to the invention, the city can self-discover problems to the greatest extent and assist in solving the problems.

The invention discloses a construction site intelligent supervision system based on 5G. The construction site intelligent supervision system comprises a personnel supervision subsystem, an environmentsupervision subsystem, a site acquisition subsystem and a cloud server. The personnel supervision subsystem acquires personnel information of a construction site and transmits the personnel information to the site acquisition subsystem; the environment supervision subsystem acquires environment information of a construction site and transmits the environment information to the site acquisition subsystem; and the field acquisition subsystem transmits the data to the cloud server through a 5G communication network. According to the invention, multi-angle supervision is carried out on a construction site; the accuracy, timeliness, authenticity and integrity of data acquisition are improved; comprehensive perception, interconnection and intercommunication, intelligent processing and cooperative work of related information in the construction process are achieved, timely acquisition, sharing and communication of data needed in the field operation process are met, intelligent monitoring, prediction and alarm, data sharing and real-time cooperation of work and the like are achieved through informatization means, reasonable configuration of supervision resources is facilitated, and differential supervision is achieved.

The invention discloses a human body sensing method and system based on a millimeter-wave radar. The method comprises the following steps that: controlling a radar module to emit a radar signal, receiving an echo signal, carrying out first-time discrete Fourier transform on the echo signal to differentiate whether a motion information target is in the presence or not, and obtaining the information, including the speed, the direction and the intensity and the like, of the target from the detected motion information; carrying out second-time discrete Fourier transform on cumulative frequency domain data to distinguish whether a physiological information target is in the presence or not, obtaining whether the respiration of the target is calm or slow from the physiological information which is in the presence, combining the motion information with the physiological information to judge whether people are in the presence in the current environment or not and judge the state of the people,and forming a people state sensing method under a home environment. The method has the advantages of being simple in implementation, high in sensitivity, high in environment adaption capability, and anew method is provided for human body contact-type sensing in the fields, including smart home, security protection and the like.

The invention relates to a method for making corn network sense user access type, wherein at the access network node, it reports user access type to the corn network node, to make the corn network node sense user access technique. And the invention provides a relative system which comprises user terminal, access network node, corn network node, while the access network node comprises state refresh request receiver and user access technique type reporter; the state refresh request receiver receives the user state refresh request; the reporter reports the user access technique type to the corn network node. The invention has high reliability and compatibility.

The invention provides a robotic platform capable of moving automatically. The robotic platform capable of moving automatically comprises a laser radar device, a collision detection sensor, a control panel and a power supply module. The laser radar device is arranged on a radar installation plate and is used for emitting laser beams to detect and obtain plane information of an area where a plane is located. The collision detection sensor is arranged on the surface of a supporting plate and is used for making the robotic platform stay away or avoid a barrier. The control panel is fixedly installed on a first base plate or a second base plate and is used for outputting control signals needed by movement of the robotic platform. The power supply module is in electrical coupling connection with the control panel and is used for supplying power to a drive motor, a rotary motor and the control panel. Compared with the prior art, the robotic platform capable of moving automatically has the advantages that the robotic platform is provided with the laser radar device and the collision detection sensor, so the robotic platform can sense the surroundings; in cooperation with a navigation module on the control panel, intelligent positioning and navigating on the platform can be achieved, maps can be automatically drawn, and intelligent automatic movement of the platform in the area can be achieved.

The invention discloses a sensor for measuring the three-dimensional component of the longitudinal wave of a marine seismic wave, which mainly comprises a signal output cable, a vulcanized rubber sealing head, a closed spherical shell, a supporting body, vibration-measurement sensors, a spherical shell sealing ring, a protective sleeve, a fastening screw, a light spring and a rigid support. The closed spherical shell is hung on the rigid support with heavy weight through the light spring, the inside of the closed spherical shell is connected with the supporting body and the protective sleeve through a screw thread, the six vibration-measurement sensors are installed on the supporting body in the three-dimensional orthogonal direction, and the supporting body is connected with the closed spherical shell through the fastening screw and the protective sleeve in a fastening manner. The invention has the advantages that the direct sensation to a water particle vibration signal in the longitudinal wave field of the seismic wave propagating in the ocean is realized; the output impedance is lower, the difficulty of debugging of a signal conditioning circuit is reduced and the sensor has better frequency response at the low frequency section; and the acquisition to the vector information in a longitudinal wave signal of the submarine seismic wave propagating in the ocean is realized.

The invention discloses a panoramic wave recording method and platform system capable of supporting the fault diagnosis and analysis of a power grid and belongs to the power system and automation field. The platform system of the invention comprises a three-layer structure which comprises an acquisition area, a regional station area and a master station area. According to the panoramic wave recording method, after a fault occurs on the power grid, fault acquisition terminals can be started through a plurality of means to perform multi-data type fault recording; the fault acquisition terminals indirectly upload fault information to a panoramic wave recording platform regional master station; the panoramic wave recording platform regional master station performs full-grid wave recording cooperative control; and after completing data recording, the fault acquisition terminals transmit fault wave recording files to the panoramic wave recording platform regional master station through a data transmission network; and the panoramic wave recording platform regional master station receives the fault wave recording files of all the fault acquisition terminals and then performs synchronization processing on fault data according to high-precision time scales. With the panoramic wave recording method and platform system capable of supporting the fault diagnosis and analysis of the power grid of the invention adopted, powerful data support can be provided for the automatic control of the power grid.

The invention relates to a facility agriculture environment information remote intelligence monitoring system based on Internet of things. The system is formed by Internet of things perception layer, a network layer and an application layer. The perception layer is formed by a sensor node unit. An environment information sensor is used to acquire real-time data and transmit to an upper layer gateway through an intelligent close-range wireless sensing network. The network layer is a system channel established based on a local area network, a wide area network and an Internet, is mainly responsible for data transmission and possesses an integral system network management function and the like. The application layer is a ''nerve center'' of the system, and is responsible for data display and storage, deep excavation and utilization, wherein the ''nerve center'' of the system plays an important role in an event decision. By using the system of the invention, facility agriculture field environment parameter automation acquisition, remote wireless reliable transmission and intelligent monitoring processing are realized; fruit tree fields can be effectively monitored; an environment data basis is provided for fruit tree growth and crop output quality and high efficiency are guaranteed.

The invention discloses a noise sensing and identifying device and a method for a civil aircraft, and the noise sensing and identifying device belongs to the technical field of civil aviation. The device comprises a microphone module, a master control module, a storage module, a sound feature extraction module and a judging module. The method comprises the following steps of: Step 1, extracting noise of aircrafts in different working stations, different directions and different distances of civil aircrafts with different models, and analyzing the noise of the aircrafts to obtain a supporting vector; Step 2, collecting the noise of the aircrafts and analyzing the noise of the aircrafts to obtain a feature vector; and Step 3, carrying out a linear operation for the feature vector and the supporting vector to obtain a judging result. The device provided by the invention integrates functions of sound collection, noise extraction of the aircrafts, feature vector extraction of the noise of the aircrafts, supporting vector training of the noise of the aircrafts and analysis of the noise of the aircrafts, and meanwhile, the device has the characteristic of high timeliness for sensing and identifying the noise of the aircrafts.

The invention relates to a novel hexapod bio-robot. The novel hexapod bio-robot comprises a body platform and six modular mechanical feet with the same structure, wherein the body platform is a rack for connecting the six mechanical feet. The novel hexapod bio-robot is characterized in that the body platform comprises an upper rack plate, a lower rack plate and connecting plates, wherein the upper rack plate and the lower rack plate are in the same shape and size and connected through the connecting plates, the six mechanical feet are symmetrically distributed between the upper rack plate and the lower rack plate and on two sides in the length direction of the upper rack plate through flanges, and adjacent mechanical feet have the equal distance; each mechanical foot comprises a coxa unit, a meropodium unit and a tibia unit, the coxa unit and the tibia unit are fixed at two ends of the meropodium unit respectively, and the upper part of the coxa unit is connected with the body platform. The robot is provided with a foot end sensing system and has multiple motion modes, thereby realizing omni-directional walking in the complex environment and dynamic sensing for the terrain environment.

The invention discloses a multifunctional torque sensing arm rehabilitation device for a rehabilitation robot. The arm rehabilitation device comprises a left movable arm, a right movable arm, a semilunar bracket, a torque measuring mechanism, a left pressure measuring mechanism and a right pressure measuring mechanism, wherein the left and right movable arms are rotationally connected with two ends of the semilunar bracket; the semilunar bracket comprises a bent beam and a straight beam; the bent beam is provided with a left movable arm positioning hole and a right movable arm positioning hole; the left and right movable arms are provided with left and right movable arm fixing holes; the torque measuring mechanism comprises a concentric ring and left and right center beams; the left end of the left center beam is connected with the semilunar bracket, and the right end of the left center beam is connected with the concentric ring; two sides of the left center beam are provided with a front left strain gage and a rear left strain gage; the left end of the right center beam is connected with the concentric ring, and the right end of the right center beam is connected with the semilunar bracket; two sides of the right center beam are provided with a front right strain gage and a rear right strain gage; the left and right pressure measuring mechanisms are one-dimensional pressure measuring devices; and each one-dimensional pressure measuring device consists of a one-dimensional pressure sensor and a tray.

The invention provides a pipeline leakage early warning system and method based on the internet of things and BIM and application thereof. The pipeline leakage early warning system comprises a BIM visible model, a signal acquisition device, a data storage and analysis system and the like. Firstly, the BIM model is built, attribute information is given to a pipeline, surrounding soil, the roadbed and various other entities in the model, and through analysis software simulating scenario, safe design values of all parameters are obtained; then all the entities are monitored in real time by meansof sensors, and if monitored values exceed the safe design values, an early warning signal is triggered; and finally field danger elimination is conducted through precise locating. The pipeline leakage early warning system and method based on the internet of things and BIM and the application thereof have the beneficial effects that early warning information can be delivered effectively in time, potential hazard points are located precisely, and real-time monitoring and early warning of the pipeline are achieved.

The invention discloses an Internet of Things monitoring method and system for agricultural machinery manufacturing. The system comprises a sensing layer, a data layer, a service layer and an application layer which are connected in sequence, the sensing layer is used for collecting the real-time state data of the agricultural machinery manufacturing, classifying and packaging the data according to the types of the equipment, and sending a link request to the data layer; the data layer is used for receiving the agricultural machinery manufacturing real-time state data packaged by the acquisition terminal in parallel according to the received link request of the acquisition terminal, analyzing the received real-time state data of agricultural machinery manufacturing in a sub-package manner,and storing the real-time state data in a real-time historical database and / or a relational database according to the type of the analyzed data packet; the service layer is used for performing business service on the stored data layer data based on the artificial intelligence to obtain the business service data; and the application layer is used for the bidirectional communication with the service layer.