201results about How to "Good technical support" patented technology

The invention provides an audio input system used in home environment based on a beam-forming microphone array. The audio input system receives an audio input from a user by using the microphone array which is arranged at the circumference of a television in a living room or embedded in the television. The audio input system specifically comprises the microphone array, a beam-forming module, a target sound detection module, an echo eliminating module and a back filtering module, wherein the microphone array comprises a plurality of microphone array elements used for extracting multichannel audio signals in the home living room environment; the beam-forming module is used for directionally enhancing the sound along a target direction as well as simultaneously resisting sound sources from other directions; the target sound detection module is used for judging the starting and ending end points of a target sound section; the echo eliminating module is used for removing a sound signal of a television loudspeaker; and the back filtering module is used for eliminating the irrelevant diffused background noises. The invention also provides an audio input system based on a blind-separation microphone array. The two systems are both used for inputting the audio signals in the home network environment based on the microphone array.

The invention relates to a river water quality detect system and a relative method, based on wireless sensor network, belonging to environment protective technical field. The system is composed of a water quality information collecting node, a relay node, a detect base station, and a remote server, wherein the delay node and the detect base station form a chain wireless network, the information collecting node is in the network with nearby delay nodes, to form a wireless sensor network to pickup the pollution information of river and send information to the base station, the base station collects the picked data, via wire network to be transmitted to a remote server. The invention can pick water quality information, detect pollutant real-time, and alarm over pollution, while the network information is collected to the remote server to be intelligently managed, to analyze the water quality information. The invention realizes water quality detection, to obtain the pollution information and execute relative operation to manage the pollution.

The invention discloses an intelligent dynamic environment monitoring system for real-time monitoring and control on a power distribution station. The system comprises an on-site acquisition control terminal and a master station monitoring center which are communicated with each other via a network, wherein the master station monitoring center comprises a monitoring server, a database and a display unit; and the on-site acquisition control terminal is used for data acquisition in the on-site environment, and comprises a monitoring host and a data acquisition unit. With the intelligent dynamic environment monitoring system, an electricity sector can get the running state and environment state of power supply devices in time, and real-time monitoring and control are implemented via the monitoring means, consequently, direct and convenient technical support is provided for electricity consumption management. The invention further discloses an intelligent dynamic environment monitoring method.

The invention relates to a real-time online measurement system and method of the particle size and the chemical components of atmospheric particulate. The device consists of a laser, photoelectric detectors and a signal processing circuit, wherein the particle size and the chemical components of a single-particulate matter can be measured on line at same time by signals through the single laser and the four detectors. The method is simple to implement, does not need film sampling and off-line analysis, and effectively expands the real-time online sensing method of multiple physical and chemical parameters of the atmospheric particulate based on a light scattering principle.

The invention discloses a bicircle shield soil chamber residue soil flow characteristic visual observational experiment system which comprises a model soil box, a reduced scale bicircle shield tunneling machine excavation system simulation test device, a uniformly distributed load loading device and a PIV digital image processing system, wherein the model soil box is filled with transparent soil and is connected with the uniformly distributed load loading device after the upper cover is dismantled; the end, provided with a partition board, of the model soil box is connected with the reduced scale bicircle shield tunneling machine excavation system simulation test device; lasers are arranged above and on the side face of the model soil box respectively; a CCD camera is adopted to acquire an image, controls image acquisition through connection with a computer, and analyzes image data. The invention further discloses a method for carrying out an observational experiment by adopting the bicircle shield soil chamber residue soil flow characteristic visual observational experiment system. With adoption of the bicircle shield soil chamber residue soil flow characteristic visual observational experiment system, a residue soil flow field of the soil chamber and a soil body displacement field in front of an excavation face can be effectively observed to provide an excellent test platform for the soil body improvement effect and setting and control of soil chamber pressure; in addition, the system is safe, convenient and rapid to dismantle, high in testing accuracy and recyclable.

The invention discloses a deep strategy learning method facing complex missions in a large-scale environment. The deep strategy learning method uses a deep nerve network to describe a state variable sensed by an intelligent agent, constructs a strategy model having a deep recursion type model, uses a strategy searching study algorithm to search an optimal parameter, and trains a nerve network until convergence. The deep strategy learning method uses a highly abstract and distributed expression capability of the deep nerve network to express the state variable sensed by the intelligent agent and constructs a strategy model having the deep recursion type structure, and is a first complete and intensive learning scheme which can systematically solve a complex decision problem in the large-scale environment.

The invention discloses a through-wall ultra-wideband radar human body respiration signal detection method based on a Faster-RCNN network. The method comprises the following steps: performing denoising and weak signal enhancement preprocessing on an original slow time-distance two-dimension ultra-wideband radar echo signal; and then continuously performing signal enhancement and denoising on the processed echo by adopting an Advance Normalisation method; imaging the echo signal in the preprocessing process as a gray image by adopting MATLAB, wherein the image width is corresponding to the echoslow time direction, and the image height is corresponding to the echo distance direction; and screening the obtained gray image, annotating a data set, and training a Faster-RCNN network model to perform human body respiration weak signal identification. The method disclosed by the invention is high in identification accuracy rate, high in detection speed, and capable of providing better technical support for the radar echo target detection, the life detection and practical technologies in actual applications.

The invention provides a method for detecting oil field fluid channeling, utilizing water-containing index characteristic curve to measure the performance of production well in the oil field, concretely speaking: collecting oil output and fluid output of the oil well from starting to test at regular intervals; calculating water-oil ratio or water ratio of the oil well at regular intervals; finding first-order derivative of common logarithm of the water-oil ratio or water ratio to common logarithm of time, namely the water-containing index; using the water-containing index as vertical coordinate and producing time as horizontal coordinate to make its half-logarithm relation curve and obtaining the water- containing index characteristic curve; detecting the type of the fluid channeling according to the shape of the water-containing index characteristic curve. And the method has objectivity and strong operability.

Disclosed is a transformer area identification method of an intelligent electric meter which comprises the steps that a management terminal issues an intelligent electric meter transformer area identification command to a concentrator; a concentrator performs clock correction on the intelligent electric meters in the identification range; the concentrator issues a transformer area identificationcommand to the intelligent electric meters in the identification range, and requires the related intelligent electric meters to acquire power frequency period zero-crossing data in a specified time window and report the power frequency period zero-crossing data; after receiving the command issued by the concentrator, an intelligent electric meters in the identification range collect and report power frequency period zero-crossing data of the intelligent electric meters in a specified time window, and the concentrator collects and stores the power frequency period zero-crossing data of the intelligent electric meters in the specified time window; and after the concentrator receives the data reported by the to-be-identified intelligent electric meters, data similarity analysis is made on the data reported by the to-be-identified intelligent electric meters and the concentrator in-phase acquisition data one by one to obtain a transformer area identification result. Court identification is carried out based on power frequency period (zero-crossing) data, information of original data is fully utilized, and the identification accuracy is high.

The invention discloses a flight control system self-adaption parameter adjustment method. In the design process, the structure of a flight control system is fixed; and under the condition that flight envelope changes greatly, and by establishing constraint relation between unknown parameters of the flight control system and poles of a closed loop system, robust self-adaptive parameter adjustment of the flight control system is achieved. The method is characterized by, during the design process, to begin with, performing corresponding performance constraint based on flight qualities, such as bandwidth frequency, time delay, magnitude margin and phase margin, of an aircraft model, and establishing an area meeting flight performance requirements; and then obtaining design parameters, meeting area stabilization requirements, of the flight control system by utilizing the protection mapping theory, meanwhile, automatically generating a controller set meeting the requirements, and thus self-adaption parameter adjustment of the control system is achieved. More importantly, during the parameter adjustment process, not only a single parameter can be adjusted, but also coordinated and integrated design of multiparameters can be achieved, thereby meeting the requirement for multiobjective design parameter adjustment of the flight control system.

The invention discloses a method for preparing a collagen material for repairing peripheral nerve injury. The method comprises the following step: co-incubating a ciliary neurotrophic factor with a collagen binding domain (CBD-CNTF), a basic fibroblast growth factor with a collagen binding domain (CBD-bFGF) and an orderly collagen material to obtain a collagen material for repairing the peripheral nerve injury. According to the preparation method, two factors CBD-CNTF and CBD-bFGF are simultaneously crosslinked to the orderly collagen scaffold material, and the action of the double-factor peripheral nerve injury repairing collagen material in long-cross-section nerve injury repairing can be evaluated by establishing an animal peripheral nerve-facial nerve long cross-section injury model. Results prove that compared with single factor CBD-CNTF or CBD-bFGF functional collagen scaffold material, the double-factor peripheral nerve injury repairing collagen material can be used for better promoting regeneration of facial nerves and restoration of functions, and has a more important realistic guiding magnificence to application of clinical peripheral nerve injury repairing in the future.

The invention relates to a method for realizing public security real-time prediction and anti-smuggling deploying and controlling processing based on deploying and controlling a vehicle driving path.The method comprises the following steps: configuring a road network topological relation according to the lane trend of an intersection; calculating a subsequent driving path of the vehicle at each intersection and the probability thereof according to the historical driving track of the deploying and controlling vehicle; calling a road network topological relation and a historical large-probability path of the vehicle according to the intersection and the lane where the vehicle is located currently; predicting a subsequent driving path of the monitored vehicle in real time, and estimating thetime when the vehicle arrives at each intersection; and pushing the prediction result to a traffic police handheld terminal near the path, and notifying a police officer to set up a card for interception in advance. By adopting the method for realizing public security real-time prediction and anti-smuggling deploying and controlling processing based on deploying and controlling the vehicle driving path, the success rate of vehicle on-site deploying and controlling interception can be greatly improved, the actual combat application effect of a public security anti-smuggling deploying and controlling system is fully exerted, and the public security traffic police service work is more accurate and effective. According to the invention, the on-duty efficiency of police officers can be greatlyimproved, and limited police resources are saved.

The invention belongs to the technical field of intelligent public transport and specially relates to a line load factor real-time calculating method based on a bus mobile WIFI hotspot. The method comprises the following steps: 1) obtaining basic data of each bus in the current bus line; 2) extracting plate number ID data of each bus, and at least extracting real-time number N' of mobile phone users connected to the WIFI and corresponding to the plate number ID of each bus; 3) calculating actual total number of passengers on the single bus; 4) calculating quota carrying number of people on the single bus; 5) calculating load factor of the single bus; and 6) obtaining bus line load factor. The bus mobile WIFI hotspot is utilized as a basic technology supporting point to obtain the load factor of the current bus line so as to judge the design reasonability of the bus line and whether the bus line needs to be adjusted accordingly, and finally, the purposes of realizing bus-taking demand of each line and optimum balance of distribution and scheduling of the buses in the line are achieved.

The invention belongs to the technical field of Internet and discloses a method for establishing a domain name server system knowledge map based on active and passive data. the method comprises: actively crawling top level domain information; passively receiving the first-level domain name information flowing through all IDC computer rooms in the country; transcoding the root domain, top-level domain name and first-level domain name and associating domain name affiliation relationship; actively detecting and querying each domain name to obtain the corresponding domain name and ip address of the domain name server; based on the above results, constructing the knowledge map of domain name server architecture. The invention solves the problem that the original Internet can not effectively manage the basic resources of the domain name server.

The invention discloses a method for treating eutrophic lake cyanobacterial bloom. An enclosure parallel to the local prevailing wind direction is built to block water flow exchange, and large lake cyanobacteria are prevented from entering a control water area. By means of the characteristic that the cyanobacteria floating on the surface layer move with prevailing wind as main drive force, blocking is carried out, the cyanobacteria are guided to the down-wind lakeshore in the direction of the enclosure, and a cyanobacterium enrichment area is formed. A cyanobacterium removal facility is arranged in the cyanobacterium enrichment area, and the cyanobacteria are removed in a large area with high strength. A drainage facilitate with the water flow direction consistent with the prevailing wind direction is arranged, reclaimed water or clean water is drained to enter the control water area to replace contaminated water, and meanwhile water power is enhanced. A water layer mixing facility is arranged in the water area with low water power, the upper water layer and the lower water layer are disturbed, water flow circulation in the transverse direction and the longitudinal direction is generated to the water, the still water environment needed for accumulation of the cyanobacteria is damaged, and the aims of controlling and restraining the cyanobacteria are achieved. According to the method, the cyanobacterial bloom breakout intensity can be effectively controlled, the ecological environment of the nearshore water area is restored, and the water environment quality and the area landscape effect are remarkably improved.

The invention discloses an urban road/ road segment vehicle speed evaluation method based on big data of 3G mobile phone mobile signals. The urban road/ road segment vehicle speed evaluation method comprises the steps of 1, establishing a positioning database, of 2, online positioning user phones, and of 3, calculating an average speed index of vehicle roads/ road segments. According to the urban road/ road segment vehicle speed evaluation method, by processing mobile phone APP heartbeat data and by the combination of data from base stations and road networks, phone positions and vehicle speed data are obtained, and the problems that data sizes in 'switch' events by a traditional positioning method are small, and the positioning precision is low are solved. Further, the urban road/ road segment vehicle speed evaluation method has the advantages of being high in reliability, low in error rate of matching roads, big in data sizes, and the like.

The invention provides a data processing method for forecasting heavy precipitation weather. The data processing method for forecasting the heavy precipitation weather comprises the steps that firstly, thermodynamic factors, dynamic factors and a moisture index influencing occurrence of heavy precipitation are collected; secondly, according to the precipitation occurrence and development nonlinear theory, the thermodynamic factors, the dynamic factors and the moisture index are integrated, so that the physical quantity index THP is obtained; finally, according to the synoptic situations at 500hPa and at 700hPa of upper air, whether a good lifting mechanism exists or not is judged, and then the belt of the heavy precipitation and the magnitude of the heavy precipitation can be forecasted, wherein the area with a large value of the index THP is the large-probability area of precipitation in next six hours, the maximum value of the THP corresponds to the maximum amount of precipitation in next six hours, when the value of the THP is increased along with time, the amount of precipitation is increased, and otherwise the amount of precipitation is reduced. By the adoption of the data processing method for forecasting heavy precipitation weather, the belt of heavy precipitation and the development and change of precipitation can be more objectively forecasted, the magnitude of precipitation can be estimated quantitatively, and automatic operation can be achieved through a computer.

The invention relates to the technical field of artificial tooth implantation, and discloses a digital three-dimensional construction and manufacturing method of a personalized implant abutment, whichcomprises the following steps: s100, adjusting an implant interface by wearing a substitute of an implant; s200, designing a scanning rod three-dimensional diagram according to the adjusted plantinginterface, and exporting virtual scanning rod data according to the scanning rod three-dimensional diagram; s300, scanning the implant scanning rod physical model by adopting a dental scanner to obtain actual scanning rod data, and fitting the virtual scanning rod data with the actual scanning rod data to obtain the position of the implant and interface data; s400, designing a personalized map ofthe base station according to the gingival data and the occlusion relationship data in combination with the position of the implant and the interface data, and generating data of the personalized implant base station according to the personalized map of the base station; and S500, carrying out programming operation on the data of the personalized planting base station, controlling a machine tool to carry out processing by using the programming operation, and obtaining the personalized planting base station after the processing is completed. The individuation of the planting base station can berealized.