593results about How to "Real-time analysis" patented technology

A system for remotely monitoring operations of an HVAC system such as a chiller system having a control center, or a rooftop unit. The system utilizes a remote monitoring unit (RMU) located on-site. The RMU is in one-way communication with the component of the air conditioning system and receives data indicative of the operation of the component and determines whether the component is operating outside the normal operating parameters. When the RMU determines, from the data, that there is a problem that is within a critical parameter range, then a critical alarm is generated and the RMU opens a line of communication with a remote monitoring diagnostics device (RMD) located at the facility of the HVAC or refrigeration manufacturer and downloads the information to the RMD which determines whether remedial action is required and initiates remedial action if required.

The invention relates to a vehicle comprehensive information system based on the third-generation (3G) mobile communication, comprising a server and a vehicle-loaded terminal communicating with each other via a 3G network. The vehicle-loaded terminal comprises a vehicle bus interface module, a 3G mobile communication modem module and an embedded-type control module, and the server comprises an information receiving module, an information storage module, a function module and an information issuing module. The vehicle bus interface module is accessed to an inside control bus of a vehicle through an OBD interface, obtains the vehicle running information and transmits the information to the embedded-type control module; the embedded-type control module obtains and processes the vehicle running information and communicates interactively with the server through the 3G mobile communication modem module connected with the embedded-type control module; the information reception module receives the information of the vehicle-loaded terminal transmitted by the 3G network; the information storage module stores the information of the information receiving module and the application information; the function module is used for realizing the application functions of vehicle positioning, map navigation, real-time path plan, theft prevention of vehicles and the like; and the information issuing module is used for transmitting information provided by the server to the vehicle-loaded terminal.

The invention provides a real-time multiparameter remote water quality monitoring system and method. The system comprises an environmental monitoring control center and a plurality of field water quality monitoring devices arranged at a water source area in a distributed mode; each water quality monitoring device is used for sending real-time water quality data to the environmental monitoring control center, and comprises a plurality of sensor units, a signal modulation / amplification and AD (analog / digital) conversion unit, a data storage unit, a liquid crystal display unit, a keyboard input unit, a central control unit, a wireless communications unit, and a power supply module unit; each sensor unit is used for acquiring the parameters of the field water quality in real time; the signal modulation / amplification and AD conversion unit is used for carrying out modulation, amplification and AD conversion on the parameters (acquired in real time) of the field water quality so as to convert the parameters into digital signals, then sending the digital signals to the central control unit; and the central control unit is used for coordinating and controlling the operations of the other units of the field monitoring devices. The environmental monitoring control center is used for receiving, storing and then processing the real-time water quality monitoring data, and carrying out active remote control on the field water quality monitoring devices.

The invention discloses a text detection and analysis method, a device and equipment based on a depth neural network, belonging to the technical field of depth learning and image processing. The method comprises the following steps of: performing template labeling to generate labeling template information; using the preset depth neural network detection model to detect and classify the text regionof the image to be detected, and generating the text region information with categories; template matching being performed according to the label template information and the text area information with categories to generate structured information data. The invention can realize fast and accurate detection and analysis according to various fields in a bill image, has the characteristics of real-time, accuracy, universality, robustness and expandability for the detection and analysis of a document image, and can be widely applied to the field of image text detection, analysis and recognition containing a plurality of texts.

The invention discloses a detection method of a battery health state. The method comprises the following steps: acquiring battery capacity C; charging or discharging a battery to cut-off voltage, idling, acquiring change of current and voltage of the battery during charge or discharge and during the idling to obtain V-t and I-t curves; performing nonlinear fitting on the V-t curve in a voltage stabilizing process in the obtained V-t curve by applying a model formula to obtain a fitting curve and acquiring a reference value; repeating the steps after the battery works for N1, N2, ..., Nm times circularly to obtain fitting curves and reference values of the V-t curves at different life stages of the battery; acquiring an index value for detecting the battery health state and a change tread of the index value after different cycles according to the reference value of the battery after different cycles. In addition, the invention also provides a diagnosis method for the battery health state and a diagnosis method for the battery charge and the health state.

The invention discloses a multi-mode information fusion-based classroom learning state monitoring method and system. The method specifically comprises the following steps of: acquiring an indoor sceneimage and positioning faces in the scene image; estimating face orientation postures in a face region so as to estimate attentions of students according to the face orientation postures; estimating facial expressions in the face region; acquiring skin conduction signals of the students so as to estimating physiological activation degrees of the students according to the skin conduction signals; recording interactive answer frequencies and correctness of the students on the classroom so as to estimate participation degrees of the students; and fusing four-dimensional information such as attention, learning moods, the physiological activation degrees and the classroom participation degrees of the students so as to analyze classroom learning states of the students. The invention furthermoreprovides a system for realizing the method. By applying the method and system, the learning states of students on classrooms can be objectively and correctly monitored and analyzed in real time, so that the teaching process analysis is perfected and the teaching effect differentiation degree is enhanced.

The invention relates to an information recommendation effect evaluation method and mobile phone based on facial expression images. The method comprises the steps that recommendation information such as pictures, characters, videos and games are read and watched by users, facial expression images of users are collected in the reading process, features of facial expression images are extracted, the emotional situations of users are judged through a facial expression classifier, and the emotional states serve as evaluation effects of information recommendation. The invention further discloses the information recommendation effect evaluation mobile phone based on facial expression images. The information recommendation effect evaluation mobile phone based on facial expression images comprises a recommendation information reading module, a facial expression image collection module, a facial expression image feature vector structuring module, a facial expression classification module, an information recommendation effect evaluation module and a facial expression training sample database. The information recommendation effect evaluation method and mobile phone based on facial expression images have the effects that facial expressions are collected more naturally, evaluation is more real, use is more convenient, and the method can be applied to improvement on an advertisement putting method, a video recommendation method, a game design strategy and the like.

The embodiment of the invention discloses an identification method and a device of a station caption in a video, and belongs to the field of image processing. The method comprises the steps of inputting extracted image features into a main station caption classifier corresponding to a program to be detected, zooming a current video image to different scales, performing slide detection on the zoomed image according to the established step size with a classifier window in a multi-scale manner, positioning a main station caption, obtaining a candidate station caption image area, and obtaining a sub station caption through pixel division and similarity calculation, so that the station caption in the video program is detected and positioned in real time, and identified; behaviors of the station caption are analyzed in real time; abnormal behaviors of the station caption are further acquired; start time points and stop time points of the abnormal behaviors of the station caption and corresponding types of the behaviors can be presented accurately; the method has good generality and robustness, and is applicable to detection and identification of various station captions.

The invention discloses a vector distribution control method for torque of a distributed-driven electric automobile. Through the relation between vehicle driving state stability and the expected yaw velocity under a vehicle dynamical model, an ideal motion state of a vehicle under generalized additional yawing moment is worked out, and control stability of a system is judged and analyzed through the expected yaw velocity so as to determine whether yawing moment control is required or not; a tyre longitudinal slip rate is set as a specific value in a stable state, and driving torque is precisely distributed under the condition that a coefficient of road adhesion is met. Through reasonable distribution of driving or braking torque of front and back axles, the response speed to the expected yaw velocity can be remarkably increased, so that the vehicle has an ideal motion state when passing a curve, the problem of difficult steering of the vehicle when acceleration is not enough is effectively restrained, curve passing efficiency is improved, vehicle driving stability and smoothness are improved, control burden of the driver is remarkably reduced, and driving safety is improved.

The invention provides a liquid-phase suspension biochip based on multi-optical trap encoding bead array and two-photon fluorescence detection. The liquid-phase suspension biochip has a configuration as follows: a near-infrared laser beam emitted by a near-infrared laser is expanded by a beam expanding system, is sequentially reflected by a telescope system and a dichroscope by using a holographic technology or a time-share scanning technology, and is focused into a sample pool through a high numerical aperture objective lens, to form multi-optical-trap optical tweezers; the multi-optical-trap optical tweezers capture a plurality of encoding beads enriched with objects to be detected, to form a bead array in the solution; after an infrared laser signal is filtered by a band-pass filter, a two-photon fluorescence signal from each bead is focused to an image detector by a lens and is subjected to imaging detection. The liquid-phase suspension biochip can perform real-time quantitative analysis on nucleic acids, proteins, virus particles and a plurality of objects to be detected, and has the advantages of high sensitivity, strong anti-interference ability, simultaneous determination of a plurality of components and the like.

The invention relates to a man-machine interaction method based on analysis of interest regions by bionic agent and vision tracking, comprising the steps: (1) a designer carries out user analysis and designs interest regions which can be possible to cause the attention of a user according to the user analysis result; (2) an event interaction manager receives and analyzes data generated by an eye tracker in real time, and calculates the focal positions of the eyeballs of the user on a screen; (3) the event interaction manager analyzes the interest regions causing the attention of the user according to the obtained focal positions of the eyeballs of the user on the screen; and (4) the event interaction manager takes the analyzed result of the interest regions causing attention of the user as a non-contact instruction to control the expressions, actions and voices of the bionic agent on the man-machine interaction method so as to carry out intelligent feedback on the user and further realize natural and harmonious man-machine interaction. A man-machine interaction system which is established according to the invention based on analysis of interest regions by bionic agent and vision tracking, comprises (1) the eye tracker; (2) a man-machine interaction interface; (3) the event interaction manager; and (4) the bionic agent.

The invention relates to a method and a system for evaluation of man-machine work efficiency of a cabin simulation test bed. The system comprises a simulation operating cabin, a lighting device, a photographing device, a display device mounted in the simulation operating cabin and used for simulation of a dashboard, a display device for simulation of a cabin exterior view, a display device for simulation of an operating panel, and a computer system, wherein the lighting device and the photographing device are arranged in the simulation operating cabin. A data acquisition device is arranged around an operator seat which is arranged in the simulation operating cabin, and comprises sensors, an eye movement instrument, an infrared tracking instrument, a 3D (three-dimensional) mouse and a data glove. The display device for simulation of the dashboard, the display device for simulation of the cabin exterior view, the display device for simulation of the operating panel, the operator seat, the sensors, the eye movement instrument, the infrared tracking instrument, the data glove and the 3D glove are all connectedly controlled by the computer. The method and the system for evaluation of man-machine work efficiency of the cabin simulation test bed have the advantage that man-machine work efficiencies under different cabin layouts and information display environments can be compared to realize functions of auxiliary design and man-machine work efficiency examination of each relevant part.

The invention discloses a satellite positioning and static leveling-based layered settlement monitoring system and method. The system comprises a base station, a monitoring station which is arranged in a settlement monitoring area and a monitoring center which communicates with the monitoring station, wherein the base station communicates with the monitoring station; the monitoring station comprises an observation pillar, a second Beidou satellite signal receiver mounted on the observation pillar, a data transmission unit, a plurality of layered settlement marks and a static level system; the static level system comprises a plurality of static level gauges; each layered settlement mark is provided with one static level gauge; one of the static level gauges is arranged on the observation pillar. The method comprises the following steps: I, setting of the monitoring system; II, data acquisition and transmission; III, data processing and analysis. According to the satellite positioning and static leveling-based layered settlement monitoring system and method, the calibration and correction problems of the instable working base points during the static leveling can be effectively solved, and the long-term, remote and real-time monitoring for the layered settlement deformation of the geologic bodies can be realized.

The invention discloses an image identification-based intelligent transformation substation state monitoring system, which is characterized in that: a camera is used for monitoring the states of a circuit breaker indicator, a pressure plate, a knob switch and the like on a switch cabinet in an intelligent transformer substation, the image of an area where a monitoring device is arranged is acquired, the states of each indicating lamp, the pressure plate and the switch are obtained by using an image identifying technology, and relevant identified states are transmitted to a background monitoring system through a 61850 protocol, so that automatic management of the running situation of the intelligent transformer substation is realized.

The invention relates to a test system and a test method for the dynamic bending fatigue property of a small-scale thin film material. The test system comprises an electromagnetic driving part, a sample holding part and a measuring and observing part, and the system provides functions and a test method for dynamic bending fatigue property test for the thin film materials used for various micro / nanoelectronic mechanical systems and supported with matrix or without matrix, the metalized interlinking body foil material used for an integrated circuit and various two-dimensional thin plate type materials and can record in-situ real-time monitoring and analysis to the appearance of the tested sample. The free end of the cantilever beam sample is driven under the electromagnetic force of the electrified coil in the stationary magnetic field to reciprocate relatively to the equilibrium position thereof, thus various types of cyclic fatigue loads can be applied to various material samples, and the precision of the applied fatigue loads can reach the millinewton magnitude. The invention can be used to evaluate the fatigue property and the fatigue crack growth behaviors of various thin film materials.

The invention relates to an operating modal parameter identification method for principal component analysis on basis of wavelet threshold denoising. Measurement noise in vibration response signals of a small damping mechanical structure can be effectively filtered out, the operating mode (a modal inherent frequency and modal vibration shape) of a system can be identified, operating modes (modal inherent frequency and modal vibration shapes) with small contribution amount in the response signal can be even identified, and a PCA modal parameter identification algorithm and physical significance interpretation and certification are endowed. The method is applied to three-dimensional operating modal parameter identification as well as equipment fault diagnosis and health condition monitoring. The invention further relates to an operating modal parameter analysis meter based on the method. Multiple vibrating sensors are arranged on key points of the mechanical structure, operating modal parameter identification is carried out on the vibration response signals obtained through measurement, changes of characteristics of the system structure can be understood, and the operating modal parameter analysis meter can be applied to fault diagnosis and health condition monitoring of large-scale project structures.

The invention is applicable to the technical field of multispectral detection and provides a water quality detection device and a water quality detection method. The water quality detection device comprises a plurality of monochromatic LED light sources, photoelectric detectors in one-to-one correspondence with the monochromatic LED light sources, an MCU and a temperature sensor, wherein the photoelectric detectors and the temperature sensor are connected with the MCU, the MCU is connected with the monochromatic LED light sources, the photoelectric detectors are used for detecting original light intensity signals emitted by every monochromatic LED light source and penetrating a detected water sample and sending the light intensity signals to the MCU, the temperature sensor is used for detecting the temperature of the detected water sample and sending the temperature of the detected water sample to the MCU, and the MCU is used for processing the received original light intensity signals and the temperature of the detected water sample so as to obtain water quality parameter detection indexes of the detected water sample. The water quality detection device is low in cost and can achieve real-time online detection by being mounted in a household water purifier.

The invention discloses a sketch based data center network flow analysis method. The method comprises the steps of receiving a network flow statistic data package in real time or off-line; determining the flow amplitude of the data package according to analyzed network flow counting data package header information to serve as the sketch input; performing real-time flow analysis based on sketch. According to the method, the prior sketch based flow statistic algorithm is innovated, a sketch algorithm based on probability selection is put forward, and CM and CU algorithms are selected according to the probability; a partition sketch algorithm is raised, and partition can be performed on sketch when different types of network flows are processed, so that the accuracy is improved, and the complexity is reduced; besides, updating information is added into information discounted according to the ratio through a real-time moving average algorithm, according to the real-time moving method, the older the information is, the more information discounts are, so that space is saved, and flow sudden change situations can be recorded.

The invention provides a surging predicted control apparatus and control method for marine diesel engine turbine supercharger. The apparatus comprises a pressure sensor, a speed sensor, a V / F modular converter, a frequency meter, an A / D modular converter, a power module, a surging predicted control unit and an air circulating device, an exhaust gas diffluence apparatus, a data storage and alarm indicator. When controlling, at first rotate speed feeding back by the sensor and fluctuation frequency of the turbine supercharger outlet pressure are received, fluctuation frequencies of the outlet pressure and the peak-peak value fluctuation conditions corresponding under each rotate speed obtained by pretest and measured by fact carry out contrast analysis; If surging foreboding is provided in the analytical result and is prevented by controlling air circulating device; if without surging foreboding, the air circulating device is not operated, the supercharger works normally. The invention can greatly reduce occurrence frequency of supercharger surging incident during working in the marine diesel engine to avoid grave accident.

The invention belongs to a research of realizing green wave band traffic signal lights control based on urban traffic main line soft enclosing area video detection identification. Based on an existing point control and network control signal lights, passing vehicles driven into and out of soft enclosing areas are acquired, counted and analyzed in real time via counting technologies of radar, infrared, sensing, supersonic wave, etc. and technologies of vehicle license plate video identification and the like so that time proportion of a green light of a current crossing is adjusted, and the vehicles driven into the soft enclosing areas and the vehicles driven in straight lines from a former crossing green light can completely pass when the light of the current crossing turns green. The vehicles driven in the straight lines pass the current crossing when the light of the current crossing turns green, and the vehicles can also pass the next crossing with the light is green so that "all the way green" passage of bidirectional vehicle flow driven in the straight lines in main lines with the traffic signal lights is realized. Road segments between crossings are provided with the soft enclosing areas, which is firstly put forward by the invention so that waiting time of the vehicles stopping at the crossing with a red light is reduced, passing capacity of main line roads is enhanced and urban road traffic pressure is alleviated.

The invention discloses an intelligent port logistics system and device based on a third-generation (3G) internet of things application platform and relates to collection and distribution, transit shipment, storage, trading, processing, ports, multimodal transport, cargo agency and device dispatching management of port cargoes. The intelligent port logistics system and device comprises a port logistics system and device and is characterized in that the 3G technology and the internet of things technology are integrated into the port logistics system and device to form the intelligent port logistics system and device. The intelligent port logistics system and device is provided with a real-time remote data collection processing system, a monitoring system and an operation system and device, and improves operation efficiencies in links of port logistics operation, transport service, port management, the port logistics system and device and the like. The intelligent port logistics system has individuality identification and data sharing functions due to internet of things chips arranged on the port logistics device and cargoes, can achieve mutual connection of things, achieves remote control and reduces port logistics cost, and a modern port logistics system which is real-time, accurate, efficient and high-quality in the port service range can be built in future.

The invention provides a real-time online pedestrian analysis and counting system and method in a complex scene, and the method comprises the steps: taking video information as input, converting videodata into continuous RGB frame images through data preprocessing, and carrying out the personnel target detection through employing an original SSD network; secondly, inputting a plurality of generated suggestion boxes into two parallel branch networks for human body key point detection, one of the suggestion boxes is a stacked hourglass network for position correction and optimization of a suggestion box result generated by target detection, and the other suggestion box is a posture convolution machine. According to the method, a specific complex scene is analyzed, and a complete solution and framework is established; algorithms in multiple fields are organically integrated by utilizing the advanced feature of human body key points, so that the problems of target detection and tracking,human body key point analysis, human body action recognition, counting analysis and the like of personnel in an actual engineering scene can be solved, and the method has a wide application scene.

The invention discloses a hard roof mine impact ground pressure hazard risk prediction analysis method. The hard roof mine impact ground pressure hazard risk prediction analysis method comprises substituting obtained mechanical parameters into an energy release equation based on an occurred impact ground pressure hazard to obtain the energy increase degree REC; performing the quantitative characterization on the energy absorption degree AEC according to six divided supporting schemes; dividing specific mine impact ground pressure hazard risk prediction analysis frameworks according to the degree of the influence on mining, wherein the formula of the impact ground pressure hazard potential RDP is as follow; calculating the impact ground pressure hazard potential produced in the mining process of the high press area in the process of the newly occurred hard roof breaking and performing comparison on the impact ground pressure hazard potential and the established impact ground pressure hazard risk prediction analysis frameworks to determine the hazard degree of the impact ground pressure. According to the hard roof mine impact ground pressure hazard risk prediction analysis method, the scientific quantification is performed on the impact ground pressure hazard potential induced by the hard roof breaking in a mine, the calculation method is simple, the required mechanical parameters are easy to obtain, and the impact ground pressure hazard risk of the hard roof mine is simply and conveniently determined.

The invention discloses a method for calculating the author influence based on a citation propagation network. The method comprises the following steps of step 1, establishing a citation relationship network and a colleague relationship network: establishing an author citation relationship network and the colleague relationship network based on an essay public information database; step 2, establishing the citation propagation network, wherein the citation propagation network is an integration network of the author citation relationship network and the colleague relationship network; step 3, calculating the author influence based on the citation propagation network, wherein the calculation formula is as shown in the figure. The method for calculating the author influence based on the citation propagation network can obtain more reasonable author influence indexes, and is easy to be implemented and simple and convenient for calculation.

The invention relates to a multifunctional electric energy quality monitoring and analyzing system which belongs to the technical field of electric energy quality monitoring. The multifunctional electric energy quality monitoring and analyzing system comprises a plurality of multifunctional electric energy quality monitoring analyzers, a timing subsystem and a server computer, wherein the multifunctional electric energy quality monitoring analyzers are respectively communicated with a global positioning system timing module and the server computer by Ethernet or a CAN (Controller Area Network) bus interface or an RS232 communication interface or an RS485 interface; and each multifunctional electric energy quality monitoring analyzer comprises a signal connecting module 1, a signal analyzing and dispatching module 2, a power supply module 3, a server 4 and a global positioning system 5. The invention has simple hardware circuit, easy expansion and convenient installation and debugging, not only can be used as a node of the whole electric energy quality analyzing and fault recording network but also can be used as a single portable instrument.

A sentiment analytical method based on mobile phone voices includes mobile phone call status detection, voice signal acquisition, voice sentiment characteristic extraction, voice sentiment classification, content recommendation and local short message box writing. A sentiment analytical system based on the mobile phone voices comprises a mobile phone call status detection module, a voice signal acquisition module, a voice sentiment characteristic extraction module, a voice sentiment classification module, a content recommendation module and a local short message box writing module. The sentiment analytical method based on the mobile phone voices and the sentiment analytical system based on the mobile phone voices have the advantages of being simple in method and system structure, true in sentiment analytical result, and the like.

The invention discloses a high-speed rail insulator inspection image identification method based on image library combination. Taking an engineering actual measurement image in a high-speed rail contact network safety inspection system as an example, the method comprises the following steps: firstly, carrying out image enhancement on an ROI (Region of Interest) of an inspection image; The method comprises the steps of preprocessing such as image preprocessing, denoising and the like, then extracting positive and negative samples in a region of interest by adopting an image cutting mode, carrying out training learning on the positive and negative samples by utilizing a multi-layer CNN, and finally carrying out optimization processing such as hierarchical recognition, fine adjustment on an error set and the like on a trained model to realize accurate recognition on insulators in an inspection image. The method is especially suitable for the overhead line system environment with the complex background, the insulator can be accurately positioned in the overhead line system environment at the recognition rate of 98.2%, and the good generalization ability can be shown under different shooting distances, angles and brightness.

The invention belongs to the technical field of drilling engineering, and particularly relates to a PSO drilling parameter optimization method based on a neural network, which is characterized by comprising the following steps: (1) inputting current design parameters into a drilling parameter optimization system database; (2) querying whether adjacent well historical data of the current well exists or not, transmitting the data to a system data analysis processing module, inputting the preprocessed data into a neural network for model training, and outputting a pre-drilling parameter prediction model; and (3) after drilling, synchronously obtaining current while-drilling data parameters, calculating the current mechanical drilling speed, updating the model, and comparing the mechanical drilling speed under the same stratum lithology and borehole size in the model with the current mechanical drilling speed. Original parameter signals are collected, information data of the whole drillingprocess are processed and analyzed through software, key data are subsequently optimized, and real-time and dynamic intelligent parameter optimization and system comprehensive analysis are achieved through multi-element technology fusion of the whole drilling parameter optimization process.

A monitoring system for dynamometer machine with the controlling and collecting data function is disclosed that includes direct-current supply, dynamometer device and system to be detected. They are connected with the CAN communication web, the motor to be detected is connected with the loading motor by the moment sensor, and the loading motor controller is connected with the detected motor controller by the direct current generating line to form a dynamometer circuit of direct current. The characteristics are those: it is equipped with the fan, water-cooling device, the switch plugs and the data capture ports of several parameters. The control and capture device which consist of project controlling machine to control, capture, and process the data, and the data is converted into files to be stored and displayed timely or printed report forms, and make the dynamometer easy to operate.