70results about How to "Ensure timeliness and accuracy" patented technology

The invention discloses a vehicle rollover prewarning method, which comprises the following steps: obtaining a contour line of a load transfer ratio (LTR) of a vehicle; quantifying and forecasting the rollover risk of the vehicle; carrying out rollover prewarning based on a rollover index CLRI. A vehicle rollover prewarning system which implements the vehicle rollover prewarning method comprises an information acquisition module, a rollover index calculating module and a rollover prewarning module, wherein a processing circuit in the rollover index calculating module acquires a sensing signal from the information acquisition module and transmits the sensing signal to a micro processor; the micro processor calculates the rollover index CLRI and transmits the rollover index CLRI to the rollover prewarning display module. The vehicle rollover prewarning method and the vehicle rollover prewarning system can monitor the rollover stability of the vehicle on line, precisely quantify and forecast the rollover risk of the vehicle, and timely and accurately carry out rollover prewarning or trigger active rollover prevention control, so as to guarantee the running safety of the vehicle.

The invention relates to a Petri network chain type flight delay prewarning device and a processing method thereof, which belongs to the technical field of civil aviation. The Petri network chain type flight delay prewarning device is characterized in that a source airport delayed flight chain information acquisition apparatus comprises a data acquisition sensor, a PC, a database server, an LED display screen and a mobile network, a downstream processing apparatus comprises a site PC, a database server, an LED display screen and a mobile network. The processing method comprises the steps as follows: a PC of a source airport accesses the database sever by a data transmission network, the mobile network sends out delay information which is simultaneously displayed on the LED display screen; the PC of the source airport writes the information in the database sever of the source airport via the data transmission network by analyzing chain reaction of the Petri network flight delay; and a site database server of the airport reads the flight delay information, releases the delay information by the mobile network and displays the delay information on the LED display screen. The Petri network chain type flight delay prewarning device and the processing method thereof sends out flight delay prewarning information in time, which guarantees the information accuracy and real time property and improves efficiency and flight operation quality.

The invention provides a personnel comprehensive locating method applied to a water conservancy construction site. The method comprises the following steps that a database is established, a map of a locating area and position coordinate information of the locating area are stored in the database, wherein the locating area comprises a storehouse surface and galleries, the position coordinate information comprises edges, accessories and dangerous zones; basic information of personnel is stored in the database, wherein the basic information of the personnel comprises a job number, a name, am affiliated unit, a cell phone number, an IMSI of a cell phone and an IMEI of the cell phone; the located person is selected according to the basic information of the personnel; the exact position of the located person in the locating area is obtained according to the wireless signals received by the intelligent terminal possessed by the located person. The personnel comprehensive locating method applied to the water conservancy construction site can effectively guarantee the real-time performance and accuracy of personnel location. The invention further provides a personnel comprehensive locating system applied to the water conservancy construction site.

The invention discloses a mechanical arm positioning method and a positioning mechanical arm, and relates to the technical field of mechanical arm positioning. The mechanical arm positioning method includes the steps: acquiring a first coordinate of an image of a target object in an image coordinate system; acquiring a second coordinate of the target object in a camera coordinate system accordingto depth information and the first coordinate of the target object; transforming the second coordinate into a third coordinate in a mechanical arm coordinate system. The image coordinate system is built by taking a camera image plane of the image of the target object as reference, the camera coordinate system is built by taking a depth camera as reference, and the mechanical arm coordinate systemis built by taking the mechanical arm as reference. The positioning mechanical arm can be used for implementing the mechanical arm positioning method. According to the mechanical arm positioning method and the positioning mechanical arm, mechanical arm positioning complexity can be reduced, and the environmental perception capacity and the intelligent decision-making capacity of the mechanical armare improved.

The invention discloses a rolling bearing modeling and model updating method and system based on digital twinning. The method includes using a sensor for monitoring operation data of a rolling bearing in real time and preprocessing the operation data; carrying out coupling modeling to obtain a dynamically updated digital twin model; inputting the normalized operation data into a digital twinborn model in real time, performing simulation calculation on output data of the rolling bearing by using the digital twinborn model, comparing simulation data of the digital twinborn model with the operation data in a corresponding time interval, and if a residual sequence is white noise with a zero mean value, collecting a corresponding rolling bearing digital twin model; otherwise, adjusting and correcting the parameters of the rolling bearing digital twinning model according to the criterion function to obtain a real-time synchronous rolling bearing digital twinning model. The invention can reflect the time history of the health state of the bearing, and provides a basis for fault diagnosis and life prediction of the rolling bearing.

The invention discloses an intelligent school badge management system and method. In the scheme, an intelligent school badge is provided with an RFID (radio frequency identification) tag; a supervision terminal is provided with a radio frequency read-write device cooperated with the RFID tag in the intelligent school badge; a database application system is in data connection with the supervision terminal and obtains and stores in real time intelligent school badge information read by the supervision terminal, and sends the obtained intelligent school badge information to corresponding mobile phones of parents of students in the form of short messages; and a database management main system is connected with the database application system, provides operating functions of data entry and query and the like, and generates various data tables. Through the RFID technology, the intelligentialize of student management can be realized, the accuracy of management data is guaranteed, and meanwhile, a lot of manpower and material resources can be saved.

The invention discloses an electricity utilization payment management system based on a cloud platform, which comprises a data processing cloud platform, a data acquisition unit and a transaction processing unit, wherein the data processing cloud platform is used for carrying out accounting on electricity utilization cost of an electricity utilization user; the data processing cloud platform is further used for storing related information of the electricity utilization user and electricity consumption and the electricity utilization cost of the electricity utilization user; the data acquisition unit is connected with the data processing cloud platform and used for acquiring electricity consumption data of the electricity utilization user and uploading the data to the data processing cloudplatform; and the transaction processing unit is connected with the data processing cloud platform and used for the electricity utilization user to complete settlement on the electricity utilization cost and implementing electricity utilization cost reminding for the electricity utilization user. The electricity utilization payment management system is specially used for a power marketing worker to manage electricity utilization payment, utilizes an attached service of the cloud platform to store the related information of the electricity utilization user and the electricity consumption and the electricity utilization cost of the electricity utilization user, greatly reduces workload of the power marketing worker in the aspects of calculation and statistics of power data, and has a wide development prospect.

The invention relates to the technical field of security and protection, in particular to a target tracking method, monitoring equipment, a storage medium and a target tracking system, and the methodcomprises the steps: obtaining a current image frame, and carrying out target recognition on the current image frame; when a tracking target exists in the current image frame, determining motion parameters of a local pan-tilt based on the position of the tracking target in the current image frame, wherein the motion parameters comprise at least one of the motion direction, the motion speed or thezoom rate; and according to the motion parameters of the local pan-tilt, controlling the motion of the local pan-tilt so as to track the tracking target. Target tracking is carried out in local monitoring equipment, so that target recognition and trajectory tracking can be realized in a certain area by using single pan-tilt monitoring equipment, the use of linkage among a plurality of monitoring equipment to track a target is avoided, a coordinate calibration process necessary for the linkage of the plurality of equipment can be avoided, and the real-time performance and the accuracy of tracking can be ensured by directly controlling the local pan-tilt.

The invention relates to research for appropriate root temperature range acquisition based on an intelligent control theory and research and development of a multi-factor coupling crop photosynthetic rate efficient regulation and control technology within the range on the basis of analyzing factors influencing the crop photosynthetic rate. According to the invention, a nested experiment is designed to acquire multi-dimensional large-sample data, and a multi-factor coupling hydroponic lettuce photosynthetic rate prediction model based on a regression type support vector machine is built; a root temperature and maximum photosynthetic rate response curve is acquired by using a fish swarm optimization algorithm, and an appropriate root temperature range in the response curve is acquired by integrating a curvature theory; light environment regulation and control target value optimization is performed based on a quantum genetic algorithm in the appropriate root temperature range, an appropriate root temperature range light environment regulation and control target value model is built by taking acquisition of the optimal photosynthetic rate as a target, a lettuce hydroponic root temperature and light environment intelligent regulation and control method based on multi-sensor integration is proposed, and an Internet of things based intelligent regulation and control system is built, thereby laying a foundation for improving the light environment regulation and control efficiency of facilities and promoting rapid development of modern facility horticulture.

The invention relates to a daytime driving light control system and a control method thereof. An engine work signal, an electronic parking signal, and an automatic gear box gear signal are received bya high-speed CAN network; and then according to the signals and the work state of a headlight, as well as the control logic of the daytime driving light, a vehicle body controller decides whether todrive the daytime driving light to work normally and simultaneously sends out corresponding working instruction signals of the daytime driving light to a combination meter by a low-speed CAN network.

The invention discloses a data updating and synchronizing method for a human-computer interface in an automatic train supervision system. The data updating and synchronizing method comprises the following steps: (1) interactive data of all signal devices are analyzed, and a unified data type is formulated for the interactive data of all the signal devices; (2) a communication protocol which is sent from a server-side to a client-side is formulated; (3) the server-side detects changes in the data in the step (2) and then broadcasts the changed data to the whole system according to the formulated communication protocol, and the client-side which subscribes to a change message receives the change message and conducts de-encapsulation so as to update relevant information on the human-computer interface; (4) the client-side periodically sends requests to the server-side for all the data which are subscribed to by the client-side, and if the data are different, the data on the human-computer interface are updated. The data updating and synchronizing method for the human-computer interface in the automatic train supervision system achieves the effects of interaction, update and synchronization of large volume data of the client-side and the server-side in the ATS system, and guarantees the real-time performance of the data of the server-side.

The invention discloses a real-time T-S fuzzy modeling method for a heavy-duty gas turbine of a combined cycle unit, and the method comprises the steps: firstly determining a to-be-recognized model structure of the gas turbine according to the actual demands, and collecting the onsite operation data of the combined cycle unit heavy gas turbine as the training data for model recognition; then, preprocessing the initial training data to eliminate adverse effects of abnormal data; secondly, classifying the data space through an improved entropy clustering method, and automatically obtaining the clustering number and the corresponding clustering center; on the basis, introducing an improved whale optimization algorithm to correct the initial clustering center, and calculating and obtaining a corresponding clustering radius; then, obtaining each sub-model parameter in the posterior identification through a least square algorithm with a forgetting factor, and carrying out fuzzy weighting toobtain global output; and finally, verifying the model obtained by identification.

The invention discloses an intelligent medicine box based on a wireless communication module and a medicine taking reminding method. The intelligent medicine box comprises a medicine box body and an intelligent hand ring, wherein the medicine box body comprises a central processing chip I, and an SD card storage module, a NRF radio frequency module I, a radio frequency identification module I, a clock module, a voice recording and playing module and an LED reminding lamp I, which are connected with the central processing chip I; the intelligent hand ring comprises a central processing chip II, and a radio frequency identification tag, an LED reminding lamp II, a vibrator and a NRF radio frequency module II, which are connected with the central processing chip II; and the medicine box body and the intelligent hand ring are in wireless communication with each other through the NRF radio frequency module I and the NRF radio frequency module II. The intelligent medicine box provided by the invention has the characteristics of being simple in operation and humanized in voice prompt setting, and reminding a user of taking medicines comprehensively.

The invention provides an information supervision system for an electric power construction site based on a wireless sensor network. The information supervision system comprises a site monitoring wireless sensor network, a video monitoring module, an attendance management module, an information supervision center and a management mobile terminal, wherein the site monitoring wireless sensor network, the video monitoring module, the attendance management module and the management mobile terminal are all connected with the information supervision center; and the site monitoring wireless sensor network is used for acquiring information of an electric power construction site and transmitting the information of the electric power construction site to the information supervision center. Through adoption of the information supervision, information supervision of the electric power construction site is realized.

The invention provides a load balancing method suitable for a WIA-PA network. When a network topology changes, all the nodes report the load information of all the neighbor nodes in the communication range to a network manager, the network manager compares the loads of all the wireless nodes, if the load capacity difference value between the node with the largest load and the node with the smallest load is larger than a preset threshold value, the network manager starts a load balancing adjustment process, namely a balance object list is created, and the network manager controls the wireless nodes in the network to transmit the loads until the load balancing conditions of the entire WIA-PA network are met. By means of the load balancing method suitable for the WIA-PA network, on the premise that the reliable communication among the wireless nodes is guaranteed, the load balance when a router in the network changes is achieved, uneven energy consumption of the wireless nodes is avoided, communication blockage among the nodes in the network is controlled, and reliable transmission of wireless information is guaranteed.

The invention provides a method and system for acquiring traffic conditions of motor vehicles on the roads in real time and belongs to the field of traffic informationization. The method comprises steps that a vehicular terminal on a motor vehicle positions the motor vehicle in real time and uploads positioning information and identity information to a server; the server processes the positioning information of the motor vehicle to obtain road condition information, and acquires the source of the positioning information of the motor vehicle according to the identity information, wherein the vehicular terminal is a vehicular system having positioning and communication functions or an equipment combination in which a mobile smart terminal and a vehicular positioning trigger cooperate to operate. According to the method and the system, acquired traffic data completely originates from the vehicular terminal on the motor vehicle; and the uploaded data includes the identity information such that it is easy for the server to know which identity supplies the data. The method and the system do not depend on other external systems or resources, prevent a long complex process of analyzing, converting, and integrating different types of data from different systems and errors in manual analysis and judgment, and guarantee the realtimeness and accuracy of the road conditions.

The invention provides an automatic control method and device for a lime kiln. The method comprises the steps of determining the heat value of gas; according to the determined heat value of gas and a predetermined yield requirement of a lime kiln, determining the amount of air for achieving the predetermined yield; controlling the rotating speed of fans according to the determined amount of air. Air distribution of a lime kiln is controlled based on the heat value of gas and yield requirements, which are objective, so that the accuracy and instantaneity of air distribution control can be guaranteed and the problem of non-reasonable air distribution control caused by calculating the amount of air solely based on temperature or manually can be solved. The method and the device can control the air distribution of lime kilns in real time accurately, so that the degree of automation of the production of lime kilns can be effectively, the requirements of technological procedures can be met and the production efficiency of lime kilns and product quality can be improved.

The invention relates to the technical field of image processing, and specifically discloses a visible light image aerial moving target detecting method. The method comprises the steps that the ROI grayscale image of the current frame is acquired by setting a ROI frame on the N-th frame of grayscale image; image preprocessing, image binarization, image binary inversion processing and image expansion are carried out on the ROI grayscale image of the current frame; and a screening method is used to screen connected areas to acquire a target image. The problems that a traditional target detectingmethod is not suitable for target detecting in a moving background and the target is lost due to the fact that the target passes through the moving background are solved, and moving target detectingin the moving background is real-time and accurate.

The invention discloses a unified modeling method based on the state data and fault data of a fan of a wind power plant. The method comprises the following steps of: classifying and aggregating the acquired state data and fault data of the fan; converting the state data or the fault data, which is reported with analog quantity, of the fan into telemetry data, and forwarding the telemetry data to a remote monitoring system; filling the state data or the fault data, which is reported with switching quantity, of the fan into a library in a remote signaling data form; and converting the state data or the fault data of the fan into the telemetry data by using an intelligent conversion method, and forwarding the telemetry data to the remote monitoring system. In the method, a process of converting the switching quantity into the analog quantity for the type of a state code or a fault code of a single fan is provided; concurrent faults of the fault code of the fan in the same time are reasonably and effectively processed; and the operating state and fault state of the fan can be timely and accurately reported, so the data, of different types, of the fan can be subjected to unified analysis, statistics and management through remote monitoring, the accuracy of fault diagnosis of the remote monitoring system of the fan is improved, the working intensity of a monitoring person is reduced, and working efficiency is improved.

The invention provides a combined type device for measuring drilling depth. The combined type device comprises a drilling machine body and a crawler belt, wherein an electronic meter counter and a drilling machine hoisting shaft wheel are arranged on the drilling machine body; a positioning system module is arranged at the bottom end of the drilling machine body; an integrated acquisition instrument is arranged on the front surface of the drilling machine body; the integrated acquisition instrument is electrically connected with a data center; the data center is electrically connected with a cloud platform; a radio frequency coil is mounted on a base of the drilling machine body; the radio frequency coil can sense passing of a metal buckle; the metal buckle is mounted on a drilling rod; a driving drilling rod is mounted above the drilling rod; a chip is mounted in the metal buckle; and an electronic label is arranged in the chip. By adopting the device and the method, the problems of an existing monitoring method that errors are great when the quantity of the drilling rods is manually counted, the working cost is high, the monitoring speed is slow, the working efficiency is low, the monitoring is difficult to realize, informatization is difficult to realize and the real-time performance is poor are solved.

The invention provides a method and system for associating user information through data of a GPRS (General Packet Radio Service) backbone network. The system comprises a data input module, a data analysis module, a Hash processing module, an information associating module and an information statistic and outputting module. The method comprises the following steps of: establishing a quadruple Hash chain table through a GSN (GPRS Support Node) address and quadruplet TEID (Tunnel Endpoint Identifier) values in GPRS; analyzing signaling data, establishing a user node and adding analyzed information into the user node; adding the user node into the quadruple Hash chain table; analyzing networking data of a user; and searching for the user node in the quadruple Hash chain table according to the GSN address and the quadruplet TEID values, thereby acquiring the user information, such as MSISDN (Mobile Station ISD Number), IMSI (International Mobile Subscriber Identity), IMEI (International Mobile Equipment Identity), and the like, and further ensuring the instantaneity and accuracy of associating the user information.

The invention discloses an Internet of Vehicles resource allocation method, an Internet of Vehicles terminal and a network side device. The method comprises the following steps: when the terminal needs to perform Internet of Vehicles communication, sending information of the Internet of Vehicles terminal to the network side, wherein the information of the Internet of Vehicles terminal comprises Internet of Vehicles position information.

The invention provides a smart home data transmission method in a power line communication and Ad-Hoc network radiofrequency system. The smart home data transmission method comprises that a transmitting device performs high-order coding compression on instruction data in an equipment operation instruction; a local manipulation and control device receives a compressed equipment operation instruction and decompresses the low-order coding decompression on the instruction data in the equipment operation instruction in order to acquire a decoded equipment operation instruction; and the local manipulation and control device performs control operation according to the decoded equipment operation instruction. As a result, in view of the characteristics of a smart home system, the smart home data transmission method effectively reduces the length of a data frame and improves transmission efficiency under the condition of power line communication and Ad-Hoc network radiofrequency communication transmission, thereby effectively preventing a subpackaging problem in a transmission process, guaranteeing data transmission accuracy and realtimeness, and improving the performance of the smart home system under the condition of power line communication and Ad-Hoc network radiofrequency communication transmission.

The invention relates to the technical field of image processing, and specifically discloses an infrared image aerial moving target detecting method. According to the method, a frame difference methodis used as a basic algorithm to establish a frame difference ROI binary image model by buffering a frame difference ROI binary image; the value of the similarity of the current frame difference ROI binary image and the frame difference ROI binary image model is calculated; if the similarity value is greater than or equal to a preset similarity threshold, a screening method is used in the currentframe difference ROI binary image to detect a target; and if the similarity value is less than the preset similarity threshold, the screening method is used in the current ROI binary image to detect the target. The method solves the problem that the target is lost, which is caused by the fact that the existing target detecting method is not suitable for target detection in a moving background andthe target passes through the moving background. Moving target detecting in the moving background is real-time and accurate.

The invention provides a state evaluation-based fault diagnosis system for an EH oil station, and belongs to the technical field of information security. The fault diagnosis system is divided into anFMEA module, an EH oil station state evaluation module, a fault tree diagnosis and analysis module and a fault tree construction module. According to the invention, a fault diagnosis method based on avariable weight comprehensive theory is used; the equipment operation parameters, the state characteristic parameters and the parameter weights are fully utilized, state evaluation of different levels of systems and equipment can be achieved, and the real-time performance and the accuracy of state evaluation and fault diagnosis results are fully guaranteed.

The invention discloses a standard remote diagnosis system. The system comprises a flexible lighting system, an auscultation waistcoat, a percussion hammer, a small ultrasonic probe and a cloud computing system, the flexible lighting system comprises fluorescent lamps, a shadowless cover and a soft light box, the fluorescent lamps are distributed on the top, the left side, the right side and the front side of the face of a diagnosed person, the fluorescent lamp located at the top is provided with a shadowless cover, the fluorescent lamps located on the left side, the right side and the front side of the face are provided with soft light boxes, the auscultation waistcoat is made of elastic fabric, and auscultator probes are arranged at the positions of the heart mitral valve, the tricuspidvalve, the aortic valve, the right side lung and the abdomen respectively. By adopting the standard remote diagnosis system designed by the invention, face-to-face real-time remote diagnosis can be carried out on a patient and a superior hospital, the timeliness, the standardization and the accuracy of a diagnosis result can be greatly ensured, data retention, comparison and standardized interpretation are facilitated, and support is provided for big data of the hospital.

The invention relates to an auxiliary positioning system of an evaporator plate pipe locator based on visual identity. The system comprises a network camera, a signal transmission system and an acquisition analysis computer; the network camera is arranged in a water chamber of an evaporator and shoots images of a plate pipe of the evaporator and the evaporator plate pipe locator on the plate pipe of the evaporator in real time; the signal transmission system is arranged between the network camera and the acquisition analysis computer, and sends the images shot by the network camera to the acquisition analysis computer; the acquisition analysis computer is arranged in an acquisition container out of a nuclear island, conducts real-time analysis on the images shot by the network camera so as to obtain coordinates of each pipe hole in the plate pipe, and displays the images superimposed and labeled with the coordinates of each pipe hole through a camera of the acquisition analysis computer. The auxiliary positioning system of the evaporator plate pipe locator based on the visual identity can automatically display the position coordinates on the plate pipe of the evaporator plate pipe locator in real time, can improve checking efficiency, and reduces possibilities of errors of people.

The invention provides an intelligent household data transmission method in a power carrier and Ad-Hoc network radio frequency system, and the method comprises the steps: a transmitting device carries out the high-order coding and compression of instruction data in an equipment operation instruction; local operation equipment receives the compressed equipment operation instruction, carries out the low-order decoding and decompression of the instruction data in the equipment operation instruction, and obtains a decoded equipment operation instruction; and the local operation equipment carries out control operation according to the decoded equipment operation instruction. Therefore, aiming at the characteristics of an intelligent household system, the method effectively reduces the length of a data frame and improves the transmission efficiency under the condition that power carrier and Ad-Hoc network radio frequency communication transmission. Accordingly, the method can effectively avoid a subpackage problem in a transmission process, guarantees the accuracy and instantaneity of data transmission, and improves the performance of the intelligent household system under the condition that power carrier and Ad-Hoc network radio frequency communication transmission.

The invention discloses a distributed photovoltaic power generation management method based on cloud computing, and the invention employs a computer vision method based on deep learning to extract features capable of expressing the installation stability of a solar cell panel through the feature engineering of each frame of image of the solar cell panel, and furthermore, classification is carried out based on the features to monitor the installation stability of the solar cell panel. Specifically, in the classification process, association information of feature probability distribution of an edge part relative to feature probability distribution of an overall image is adopted to express the stability of an object, so that a monitoring video of a solar cell panel is obtained through a camera at a terminal side, calculation is performed at a server side of cloud calculation, and the real-time performance and the accuracy of monitoring are ensured.

The invention relates to the technical field of millimeter-wave radar signal processing, and discloses a multi-person tracking method based on millimeter-wave radar, which is used for improving the multi-target tracking precision and tracking speed of the millimeter-wave radar in practical application. The method comprises the following steps: firstly, generating point cloud data from a millimeter-wave radar data cube, and then classifying tracking difficulties of tracks and condensation points by adopting a track clustering method; adopting a multi-mode tracking method to track tracks with different tracking difficulty degrees by adopting different tracking methods; fusing results of different tracking methods, and carrying out multi-modal trajectory starting and ending according to tracking results. The method is suitable for multi-person tracking.