651results about How to "Achieve coverage" patented technology

The invention discloses a multifunctional intelligent routing inspection robot used in a power tunnel, which includes a vehicle body, wherein a driving wheel and a driven wheel are arranged at the top of the vehicle body; and an intelligent positioning module, an intelligent tracking module, an intelligent obstacle avoidance module, an intelligent imaging module, an intelligent distance measurement module, and an intelligent control module are arranged on the vehicle body. The multifunctional intelligent inspection robot used in the power tunnel has a rich inspection content, achieves a high inspection work efficiency, and can completely cover conditions in the tunnel; and in case of emergency, the site condition is clearly collected the first time and sent to a monitoring center, and an efficient treatment measure is taken for a specific part of the tunnel or a cable when necessary.

The invention relates to underwater acoustic sensor networks and a node deployment and networking method thereof. A target water area is covered in a hierarchical clustering manner, the networks are divided into three hierarchies, and each hierarchy is divided into multiple continuous 3D spaces; common underwater sensor nodes are uniformly distributed in different depths of the different hierarchies of the target area, sense and collect physical environment data of the surrounding, and form self-organizing clustering networks via the sound wave links; movable underwater nodes can move in the target water area, assess the water quality change of routes, and directly transmit an assessment result to water surface buoy nodes; and the water surface buoy nodes is mixed with communication modules, receive, process, gather and integrate underwater network data via the sound wave communication module, and transmit the network data to a land base station in the multi-hop manner via the radio electromagnetic wave communication module. The underwater acoustic sensor networks and the node deployment and networking method thereof can realize remote monitoring, is wide in monitoring range, high in expansibility and reliability, suitable for underwater applications, and has a good application prospect.

A method and apparatus for building a training set for an automated speech recognition-based system, which determines the statistically optimal number of frequently requested responses to automate in order to achieve a desired automation rate. The invention may be used to select the appropriate tokens and responses to train the system and to achieve a desired “phrase coverage” for all of the many different ways human beings may phrase a request that calls for one of a plurality of frequently-requested responses. The invention also determines the statistically optimal number of tokens (spoken requests) required to train a speech recognition-based system to achieve the desired phrase coverage and optimal allocation of tokens over the set of responses that are to be automated.

The invention belongs to the field of light-emitting semiconductors, and particularly relates to the field of light-emitting diode chips. The structure of a composite electrode of the light-emitting diode chip comprises an ohmic contact metal layer, a first isolated metal layer, a filled metal layer, a second isolated metal layer and a surface metal layer from bottom to top respectively, wherein the second isolated metal layer and the surface metal layer are covered on the upper surfaces and the side surfaces of the ohmic contact metal layer, the first isolated metal layer and the filled metal layer so as to completely wrap the three electrode layers in the electrode. The invention further comprises two manufacturing methods of the composite electrode, which are the method I and the method II respectively. The composite electrode uses Al, Ag and other active metals with low using cost to replace part of Au in the electrode, thereby reducing the cost of the electrode and having stronger ability to adapt to the environment; through multiple tests by an author, the composite electrode can be quickly effectively manufactured by the two methods, the manufacturing process is simple and feasible, the operability is high, and the large-scale production is convenient.

The invention relates to an ultra-wide frequency band multi-band array antenna which comprises a metal reflection plate, a low-frequency radiation unit and a high-frequency radiation unit. The low-frequency radiation unit and the high-frequency radiation unit are mounted on the metal reflection plate, the low-frequency radiation unit works on a low-frequency band, and the high-frequency radiation unit works on a high-frequency band. The low-frequency radiation unit comprises two low-frequency oscillators which are both in +/-45-degree polarization and are mounted in a mutually orthogonal mode, the two low-frequency oscillators are connected with a feed network, and a +/-45-degree polarization far field radiation directional diagram is generated; the high-frequency radiation unit comprises two high-frequency oscillators which are both in +/-45-degree polarization and are mounted in a mutually orthogonal mode. The multi-band array antenna is capable of covering a 694-960 MHz ultra-wide frequency band and a 1710-2690 MHz ultra-wide frequency band and is simple in structure so as to be compatible with all frequency bands of a current mobile communication network.

The invention discloses a hotel safety management system and method based on artificial intelligence. The safety management system at least comprises a hotel reservation system, an information collection system, a hotel management system, an intelligent entrance guard management control system, a face detection recognition system, a database storage system, and a center sever; various systems arecommunicated with the center server; furthermore, the system further comprises a visitor management system. The intelligent entrance guard is divided into public entrance guard systems at an elevator,the stair and like locations and a guest room entrance guard system; each of the public entrance guard systems and the guest room entrance guard system at least comprises a processing server and an embedded equipment terminal; the embedded equipment terminals are fixed beside the entrance guard and used for collecting the information and controlling the entrance guard to be on and off; and the processing servers are used for performing matching comparison recognition on a photo uploaded by the terminals. Through the method disclosed by the invention, the face information collection at the hotel entrance guard region and the intelligent video monitoring at the hotel public region are combined, and the method is aided by the visitor management system, thereby realizing the comprehensive artificial intelligence hotel safety management with high concealment.

The invention relates to a sequential control operation order automatic anti-error check method based on a simulation IED device. The method, by means of the simulation protection measurement and control IED device, may effectively verify the rationality of a switching operation sequential control operation order without dependence on the participation and cooperation of primary equipment of a transformer station, covers the full path of the switching operation process of the transformer station, greatly increases the work efficiency of engineering acceptance workers, enables step-by-step acceptance check of sequential control operation order, effectively improves the availability of one-button sequential control of the smart transformer station, and guarantees the operation safety of a power system.

The invention discloses an abnormal/fault positioning detection method based on a binomial tree model. The method comprises the steps of firstly, converting the physical layout of an industrial pipe network into the binomial tree structural model, and storing the detected data into corresponding nodes of a binomial tree; secondly, according to the character of the binomial tree and the relevance between information of the detection nodes, and utilizing the flow conservation property of the data flow of the industrial pipe network for achieving computation of the data flow of nodes of sensors not to be deployed; thirdly, according to the relation between the actual measuring value of the deployed sensors of the detection nodes of the industrial pipe network and the computation value, analyzing the operation condition of the industry, and judging the abnormal/fault types; finally, utilizing the structure characteristics of the binomial tree model for analyzing the abnormal/fault positions of the industrial pipe network and giving an alarm. According to the method, the design is simple, the cost is low, abnormal/fault detection by a traditional artificial tour gauging method is broken through, and the real-time detection on the working condition of the industrial pipe network in a real time mode under the limiting situations of the detection nodes is achieved.

The invention discloses a UWB-based system for positioning the external personnel of a key area. The system comprises visitor registration equipment, a positioning label, a plurality of positioning cells, a positioning resolving module and an information management module. The visitor registration equipment is used for carrying out identity verification on an external person and inputting the information of the external person. The positioning label is worn on the external person, and is used for generating and sending a UWB pulse signal with self equipment information. The positioning cells are arranged in the key area, and comprise four UWB positioning base stations. The four UWB positioning base stations are used for receiving UWB pulse signals sent by the positioning label, and sendingthe time and base station position information of the received UWB pulse signals of the positioning label to the positioning resolving module. The positioning resolving module is used for resolving data sent by the four UWB positioning base stations of one positioning cell to obtain positioning coordinates of the positioning label. The information management module is used for giving an alarm according to the positioning coordinates provided by the positioning resolving module.

The invention relates to a multi-frequency-band array antenna compact in structure. The multi-frequency-band array antenna comprises a metal reflective board, a low-frequency radiation unit working in low frequency bands and a high-frequency radiation unit working in high frequency bands, and the low-frequency radiation unit and the high-frequency radiation unit are arranged on the metal reflective board. The low-frequency radiation unit and the high-frequency radiation unit are arranged on the metal reflective board in a nested mode, and the orthographic projection of the low-frequency radiation unit and the orthographic projection of the high-frequency radiation unit do not coincide. The low-frequency radiation unit is formed by connecting a horizontal vibrator and a vertical vibrator with a power divider feed network and is flexible in structure, and a distance and other parameters can be flexibly configured according to practical application requirements. Due to the adoption of the structure, circuit network losses are few, the radiation characteristic stability of the multi-frequency-band array antenna within an ultra wide band range can be maintained, 2G, 3G and 4G LTE systems in mobile communication are compatible, the number of antennas used in a base station can be reduced, station distribution cost can be lowered, and operation and maintenance cost can also be lowered.

The invention provides a wild animal monitoring system established based on a wireless image sensor network. The wild animal monitoring system based on the wireless image sensor network comprises a wireless infrared image sensor network, a base station and a wild animal monitoring center, wherein the wireless infrared image sensor network can achieve the automatic collection, compression and transmission of wild animal monitoring images in all weather, the base station is connected with the wireless infrared image sensor network through a 3G network, and the wild animal monitoring center is connected with the base station through an Internet and is provided with a 3D GIS. An image compression algorithm which is based on a compression sensing theory and is suitable for the wireless infrared image sensor network which is limited in processing capability, power source endurance and information channel transmission bandwidth is adopted in the wild animal monitoring system. The wild animal monitoring system based on the wireless image sensor network is the successful application of the wireless image sensor network in the filed of wild animal protection monitoring, the wild animal monitoring images can be obtained in all weather, and researching personnel are assisted to remotely master the current state and the dynamic changing of wild animal resources in real time.

The invention discloses a robot patrolling fire extinguishment system based on ROS and a control method for same. The system is controlled by a client terminal and includes a robot and a server terminal. The server terminal is used for receiving a navigation map uploaded by the client terminal and sending the navigation map to the robot, and receiving scene image and warning information sent backby the robot in the auto-patrolling process in real time, then sending the received scene image and warning information to the client terminal in real time; the robot is used for positioning the sceneby means of a laser radar and patrolling by using a driving module and an inertial navigation module according to the navigation map; meanwhile, the robot uploads the scene image, taken by a deep camera, and the corresponding warning information, detected by the sensor module, to the server. The system achieve remote patrolling and monitoring of a fire scene, wherein fire-hazardous points are allcovered just by using one robot, so that high cost due to arrangement of fire extinguishment equipment at all of the fire-hazardous points is avoided. The system is extensively applied to the technical field of robots.

The invention provides an airport runway safety early warning system and an airport runway safety early warning method. The system comprises a sensor network, a data conversion unit, a data interface unit, a switch, a data processing server, a man-machine interaction unit and a sound-light alarm unit, wherein the sensor network is connected with the switch and the data processing server sequentially through the data conversion unit and the data interface unit, the man-machine interaction unit and the sound-light alarm unit are connected with the data processing server, the server network comprises one set or multiple sets of sensors arranged at runway anti-intrusion protection zone perimeters, each set of sensors comprise emitters and receivers mounted at two sides of detected paths, the runway anti-intrusion protection zone comprises ground zones within 75 meters away from two sides of a runway center line, portions among runway waiting positions and practical runways and runway end safety zones. Through the system, detection and alarm information can be realized against runway intrusion through the sensor network, and the system has economical and practical properties, is safe and flexible and can be flexibly configured.

The invention discloses a method and system for inhibiting overlapping interference between wave beams in a multiple address system and relates to mobile communication technology. Space division and code division are effectively combined, spatial information of wireless channel is fully utilized, correlation detection is carried out on accessed user in real time, strong correlation users are dynamically grouped, and beam forming is carried out for dynamic tracking and covering on user grouping; and correlation detection is carried out on the formed wave beams in real time, orthogonal code is distributed for adaptation of relevant wave beams, so as to effectively inhibit mutual interference between wave beams. The formed wave beams are identified by spatial and orthogonal code characteristic, thus realizing improvement of system capacity, communication quality and frequency spectrum utilization.

The invention relates to a robot welding system, in particular to a box robot welding system. The box robot welding system comprises a positioner headstock, a tool clamp, a robot sliding table walking mechanism, a robot welding system body, a positioner tail frame and a positioner base. The positioner headstock and the positioner tail frame are mounted on the positioner base. The positioner tail frame can move in the direction close to or away from the positioner headstock. The two ends of the tool clamp are connected with the positioner headstock and the positioner tail frame through fast connecting devices correspondingly. The robot sliding table walking mechanism is arranged on one side of the positioner base. The robot welding system body is arranged on the robot sliding table walking mechanism. According to the box robot welding system, the servo drive sliding table walking mechanism can do X-axis linear motion, and positioner and workpiece rotation and a robot welding gun are matched for achieving welding in various angles.

The invention provides an antenna system and a terminal. The antenna system is applied to the terminal with a metal shell, wherein a slot filled with a nonmetallic material is arranged in the metal shell; the metal shell is partitioned through the slot to form a resonance arm and a coupling arm; the antenna system comprises the resonance arm, the coupling arm, a feed circuit, a first tuning circuit and a second tuning circuit; the feed circuit is connected between a first feed point of the resonance arm and a ground terminal; the first tuning circuit is connected with the feed circuit in parallel; and the second tuning circuit is connected between a second feed point of the coupling arm and the ground terminal. According to the antenna system and the terminal, independent tuning of a low frequency and a medium-high frequency of the antenna system can be achieved, a carrier aggregation antenna system can be effectively achieved, the radiation efficiency of the antenna system is improvedand broadband coverage is achieved.

The invention discloses a narrow frame one-chip type capacitor inducting touch screen and a manufacturing method thereof. The narrow frame one-chip type capacitor inducting touch screen comprises a substrate, a plurality of touch control units, a color layer, a plurality of electrodes, a plurality of touch control unit wires, a plurality of electrode wires and a plurality of electric conductors, wherein an array of the touch control units is formed by the touch control units; the color layer is used for forming a non-visual area of the capacitor touch screen and is provided with a plurality of through holes; the electrode wires and the touch control unit wires are electrically connected in the corresponding through holes through the corresponding electric conductors. According to the narrow frame one-chip type capacitor inducting touch screen, the electric conductors can completely cover the through holes, and therefore the light leakage problem caused by the through holes can be avoided. The electric conductors and the electrode wires are arranged in a staggered mode, more electrode wires can be arranged in a frame with a certain width, and therefore the requirement for the narrow frame of the capacitor screen can be met.

The invention relates to a wild animal field monitoring device. On the basis of a wireless sensor network technology, the wild animal field monitoring device can form a wireless sensor network in a self-organizing mode to automatically collect and send wild animal monitoring images. The wild animal field monitoring device is composed of an image collecting module, an image processing module, a wireless communication module, a GPS module and a power supply module, wherein the image collecting module is provided with three pyroelectric infrared sensors, a plurality of infrared LEDs, a photosensitive sensor and two steering engines and can automatically collecting the wild animal monitoring images. The wild animal field monitoring device adopts an image compression algorithm based on compressed sensing and has high energy efficiency and a high compression ratio to reduce data transmission quantity. The wild animal field monitoring device is a successful application in the aspect of wild animal monitoring, can obtain the wild animal monitoring images all weather and helps research workers to master the current situation and dynamic changes of wild animal resources remotely in real time.

Disclosed is a method for implementing time synchronization on different time scale fault recording systems. According to the technical essential, fault occurrence time reflected by different electrical quantities is recognized on the basis of various jump features of the electrical quantities at the fault time, and recording data recorded by the different time scale fault recording systems is finally aligned on a time axis. One substation or power plant is often equipped with a PMU (Power Management Unit), an electrical main equipment protection device and dedicated recording equipment, which have own internal clocks and receive external timing instructions to correct self clocks. If a timing device is not equipped or the timing device has a great error, the electrical quantity waveform data recorded by the recording equipment is asynchronous on time, then time axis alignment of the recording data of the devices is realized by using a method for recognizing the fault disturbance occurrence time of the recording data, and comparative analysis of the data can be realized.

The invention provides a wMPS network layout optimizing method based on simulated annealing particle swarm optimization. A measuring station layout optimizing aim is one of important aims in use of a wMPS. The method aims at achieving the aim that due to the optimized measuring station layout, a to-be-measured region can be comprehensively covered with certain cost, and the requirement for measuring accuracy can be met. According to the wMPS network layout optimizing method, a reasonable positioning error model is built, a multi-objective optimization function is defined, and the network layout of the wMPS is optimized with the simulated annealing particle swarm optimization. The measuring-station network optimized layout aim of the wMPS in engineering application is effectively achieved through the rapid convergence capacity of the particle swarm optimization and the global convergence capacity of the stimulated annealing algorithm. Along with increasing of the number of measuring stations, the method has good expansibility and can provide a novel method with high adaptability for the multi-station networking measuring layout optimizing aim based on an angle intersection principle, and important theoretical value and practical significance are achieved.

The invention discloses a channel estimation method for a passive intelligent reflection surface based on deep learning. The channel estimation method is realized by an offline channel estimation stage and an online channel prediction stage. In the off-line channel estimation stage, in an uplink, a user side sends a pilot signal, a base station side controls an IRS to sequentially open passive elements to reflect an incident pilot signal, and the base station side receives the pilot signal and estimates corresponding cascade channel information through adoption of a minimum mean square error method. An equal probability uniform sampling method is adopted to select a small amount of sampling cascade channel information from the estimated cascade channel information, and the small amount of sampling cascade channel information and complete cascade channel information are adopted to construct a new data set; and in the online channel prediction stage, the base station side estimates a small amount of sampling cascade channel information online and inputs the sampling cascade channel information to the trained ResNet network to recover complete cascade channel information. According to the invention, the number of passive elements can be flexibly selected and the residual units of the residual neural network can be set so as to meet the service quality characteristics of different systems and users.

The invention provides an invasion monitoring method based on a WIFI wireless signal. The method comprises following steps that each monitoring node acquires a CSI sub carrier wave emitted by a WIFI signal source, feature vector extraction is performed after initial filtering and de-noising filtering processing are carries out and the biggest component is selected to be a main feature variable of the signal; each monitoring node sends third signals to a front end server; and when the absolute value of the main feature variable of one of the third signals and the main feature variable of a static state signal is larger than a monitoring threshold value, the front end sever triggers an alarming signal. According to the invention, by sue of the existing wireless infrastructures, through signal processing, the CSI sub carrier waves are grabbed and analyzed to obtain a feature signal with the main feature variable; the feature signal is sent to the front end server and compared with a feature information database in the server, so whether foreign bodies invade the system can be judged; and by combing the provided system and the existing monitoring system, all-directional monitoring of a target region is achieved.

The invention discloses a non-contact device for monitoring the vital signs of multiple people in a car. The device comprises an acquiring module, a processing module and a detecting module. In the acquiring module, pulse ultra-wide band radar is placed in the car to collect human body data; the processing module divides radar signals into different distance sections based on the fixed distances and reflecting area between the radar and all seats, human body moving signals are extracted from the each section, and different frequency signals with the corresponding number are decomposed out of the human body moving signals through a VMD algorithm; aiming at the problem of aliasing of the signals of the people in the car, aliasing interference of human body breath heartbeat signals at close range positions is removed at far range positions based on relativity, and meanwhile the breath heartbeat frequency of people is acquired at the same time. According to the device, the vital sign signals of people in the car can be acquired without contact through the car-mounted pulse ultra-wide band radar and are effectively monitored at the same time. Compared with the prior art, the device hasthe advantages of being low in power consumption, free of contact, good in privacy and the like.

A survey station optimization deployment problem is one of important problems in use of a spatial measurement positioning system. The present invention provides a survey station layout intelligent optimization method of a spatial measurement positioning system, so that an optimized survey station layout can fully cover a tested area under certain costs and a requirement of measurement accuracy can be met. According to the present invention, a proper positioning error model is established from three aspects of constraint analysis, optimization objective, and optimization means, a multi-goal optimizing function is defined, and survey station layout optimization of the spatial measurement positioning system is implemented by using a practical intelligent optimization algorithm. According to the survey station layout intelligent optimization method of a spatial measurement positioning system, a survey station network optimization deployment problem of the spatial measurement positioning system in an engineering application is effectively resolved. As a quantity of survey stations increases, the method has good expansibility, provides a new method for a multi-station networking measurement layout optimization problem based on an angle intersection principle, and has important theoretical value and practical significance.

A coverage hole eliminating method based on a multi-sensor probability perceptual model comprises the following steps that firstly, coverage hole detection is performed by adopting the grid method after nodes are deployed randomly, wherein a grid is completely covered if the associated perceptual probability of the grid is greater than 90 percent on the basis of the multi-sensor probability perceptual model, or else, the grid is not covered, and each continuously uncovered grid is a hole; secondly, the new position of the nodes for patching the holes is determined according to the geometrical algorithm; thirdly, a mobile target position is saved, the coverage area of the mobile nodes is removed, the nodes are moved to the target position to patch the holes, and coverage loopholes are updated; fourthly, the steps are repeated from the first step until all the loopholes are covered; finally, the steps are repeated until all the holes are covered.

The invention relates to a charging station electric car charging system and particularly relates to an electric car battery charger time division multiplexing charging system and charging method. The system comprises a charging unit, a charging bus, a charging bus switch, a plurality of charging branch distribution boxes, branch buses, a terminal bus and a charging control unit. The charging unit configures the terminal bus to the charging branch distribution boxes by the charging bus switch through the charging bus. The plurality of the charging branch distribution boxes and the terminal bus are in equipotential connection, that is, the positions of the plurality of the charging branch distribution boxes are equal to perform multiplexing on the charging bus in a time-division and alternate mode to achieve remote multiplexing on the charging bus. By means of the method and the system, a large number of cables are saved, the battery charger utilization efficiency is improved, and the electric car charging cost is reduced.