456results about How to "Realize Tracking" patented technology

The invention provides an online education system and method. The online education system comprises a teacher operation subsystem, a student service subsystem, a curriculum sale subsystem, a teachingservice subsystem, a teaching subsystem and the like. The online education method including steps of teacher information collecting, student information collecting, information matching, curriculum trial, curriculum sales, training plan starting, teaching effect tracking and the like. Via the online teaching mode, teachers and students are avoided from spending time in traffics, and students havemore selections; the multi-window online education system enables more convenient real-time interaction between the students and teachers; and the education system can track the teaching process and effect, the students and teachers can know the learning conditions better and make targeted improvement, and a multi-flow K12 service closed-loop system capable of improvement according to feedback isrealized.

The invention relates to a network-based system for analyzing opinion information in a discrete text, belonging to the field of network information safety. The system comprises the following modules: a discrete text information acquisition module which acquires network information in a preset analysis cycle, a discrete text information tracking and restoring module which restores ellipsis and remote anaphora in the original content to obtain a text which contains a relatively complete text structure and semantic information, a semantic information mining and characteristic extracting module which realizes semantic information mining and characteristic extracting on text information by utilizing a latent semantic indexing technology, an opinion information clustering module which realizes information clustering by combining a niche genetic algorithm with a K-Means method, a hot opinion event discovery module which mines the hot opinion in the obtained topic and event, and a background information processing and data supporting center which analyzes data and provides a repertoire specially for a network, new words in the network, the existing class information and the existing hot topics. By applying the invention, the problem that information analysis is influenced as the text structure of the existing network opinion information is incomplete, ellipsis and remote anaphora are more and the new works in the network are more is solved, and the accuracy for discovery of the opinion and hot event is improved by adopting a high-efficiency clustering method.

The invention discloses a topic detection or tracking method for network text big data. The basic thought includes the following steps that a graph model of keywords and a corresponding adjacent matrix are built by detecting the keywords occurring in different files, the graph model and the adjacent matrix are combined with spectral clustering to provide a new topic detection model, probability distribution of each file about a topic is calculated, when a new file reaches, similarity between the new file and an attributed set represented by a historical topic is calculated, automatic detection or tracking of the topic is achieved, and a distributed method is achieved through a Map Reduce programming model. The method is characterized in that the topic is displayed and mined through the cooccurrence relation of the keywords rather than an implicit expression, the big data are calculated in a distributed mode, data information in the internet is clustered, expansibility is higher, the quantity of the data capable of being processed is larger, and the throughput rate is greatly increased.

The invention provides a detection system for detecting targets around a vehicle and application of the detection system. The detection system includes a vehicle front forward direction sensor (1), a vehicle roof forward direction sensor (2), a right front sensor (3), a left front sensor (4), a right rear sensor (5), a left rear sensor (6), a rear sensor (7), a left side sensor (8), a right side sensor (9) and target selection modules (10), wherein the target selection modules (10) include a forward direction target selection module (11) and a side direction and backward direction target selection module (12), wherein the forward direction target selection module is configured to select targets at least four positions in front of the vehicle as vehicle front side tracking targets based on received target motion information, and the side direction and backward direction target selection module is configured to select targets at the side direction and backward direction of the vehicle as vehicle side direction and backward direction tracking targets according to received target motion information.

The invention provides a distributed call tracking method, a service system, a monitoring system and a storage medium. Each server of a distributed service system can record a service processing situation in a standard format when performing the service processing, thereby realizing cross-server and cross-language tracking record; for the processing of the same service, each server can mark the record file by using the same unique identifier, thereby enabling the monitoring system to aggregate and summarize the processing recording files of the same service in various servers according to theunique identifier, thereby obtaining complete service processing information. Through the tracking method provided by the invention, the tracking and analysis on the distributed calling link can be realized, thereby facilitating the worker to timely discover abnormal calling situation, and guaranteeing the normal running of the distributed system.

The invention discloses an agency sales system and method. The system includes a business database, a product database and an agency sales unit. The method includes: logging in and registering, receiving the buyer's request, and locating the product; if the buyer completes the purchase, generating an order, and simultaneously generating order information and recording the order process in the background database; the agent receives the buyer's information and simultaneously receives Purchase completed order information; and enter commodity information, update commodity information and record order commission; at the same time, synchronize commodity information and order information of sold commodities to the background database. The agent sales system can realize the simultaneous sharing of product information and order process between suppliers and distributors, and at the same time, the performance of both parties is automatically divided into and settled according to the sales agent sales platform. The agency sales method provides suppliers with a large number of personal sales channels through the aggregation of a large number of agents. Now the supplier and the agent share the product information and order process synchronously, and the performance is automatically divided and settled according to the sales volume.

The invention relates to the field of freight logistics application, specifically discloses a freight logistics application method based on a block chain and is to solve the problem of large data evidence collection difficulty in the later freight logistics link caused since all links in the freight logistics process are mutually independent, and data cannot be shared. The method is characterized by collecting freight logistics object data and establishing sub-block chains, and combining the sub-block chains to establish a block chain platform, thereby realizing trustworthy data sharing in the whole freight logistics process, enabling the data in the later freight logistics process to be scheduled, used and obtained for evidence as needed, and further promoting intelligent development of freight logistics application.

The invention provides a vehicle-mounted Lagrangian real-time air pollution traceability system and method based on a cloud platform, which relates to the technical field of air pollution prevention and control. Vehicle-mounted Lagrangian real-time air pollution traceability system and method based on cloud platform, The high-precision WRF weather model base on the high-performance cloud platformis constructed, Lagrangian particle release model, and through the design and front-end transfer platform, GPS positioning system closely combined to build a vehicle-borne mobile pollution traceability system, effectively improve the emergency response capacity and law enforcement of the relevant departments of the rapid and accurate.

The invention relates to the field of mobile communication network and video monitoring, and discloses a target person tracking method combining mobile communication recording and video monitoring data. The method comprises the steps that S1, monitor areas passed by a target person and a corresponding monitor period are found from video monitoring recording data; S2, information of mobile phone base stations which cover the monitor areas is found from a mobile communication network base station set; S3, all mobile phone historical trajectory data sets passing the base stations in the monitor period are acquired; S4, the intersection of mobile phone trajectories extracted from the base stations is acquired, so as to acquire the trajectory data set of a target mobile phone; and S5, a mobile phone number with a centralized target mobile phone trajectory is extracted, and the target mobile phone is identified and tracked according to the mobile phone number in a mobile network. Even if the target person no longer appears in a monitoring video, ongoing tracking still can be carried out.

The invention discloses an infrared cloud picture cyclone analysis method, which comprises the following steps of (1) constructing a cyclone system detection network based on an SSD frame of a convolution neural network, and automatically identifying and positioning the cyclone from each cloud picture in a cloud picture data set by the network; 2) carrying out the threshold segmentation on the cyclone by adopting an OTSU threshold segment algorithm, and carrying out the area filtering on the threshold segmentation result to obtain the initial contour of the cyclone; (3) taking the initial contour of the cyclone as input, using a Chan-Vese model to obtain a cyclone boundary of the cyclone; (4) extracting cyclone characteristic points of the cyclone boundary by using the SURF algorithm; (5)using an FLANN matcher to calculate the matching ratio of each characteristic point of cyclone at adjacent time by Euclidean distance, so that the cyclone can be tracked. The invention draws lessons from the MobileNet network and combines the SSD detection frame to construct the cyclone detection network for recognizing the cloud picture, which has high recognition accuracy and is simpler.

The invention provides a city inundation monitoring and early warning system. The system herein includes a fixed monitoring terminal, a mobile monitoring terminal, a network transmission module, a cloud server, a monitoring center and an early warning publishing platform. The fixed monitoring terminal is intended for conducting real-time monitoring of the inundation information of the easily-inundated places in the city. The mobile monitoring terminal is intended for conducting real-time acquisition of the position information and inundation information of the water-logged places. The cloud server is intended for identifying the identities of the easily-inundated places, and based on the position information of a place that is water-logged, determining whether the place is one of the easily-inundated places, and if the place is one of the easily-inundated places, giving up the position information and the inundation information of the place, and if the place is not one of the easily-inundated places, saving the position information, the inundation information of the place and the inundation information of the easily-inundated places. The monitoring center is intended for marking the easily-inundated places and the inundation information thereof and/or the place that is water-logged and the inundation information thereof in a GIS map, and also analyzing the inundation information of the easily-inundated places and the inundation information of the place that is water-logged, generating the inundation early-warning information, and publishing the information to the public onthe early warning publishing platform.

The invention relates to an in-digital product fingerprint constructing and verifying method, and the constructing method obtains purchase secret information from a purchaser, and uses a copyright server to construct an evidence fingerprint unable to be forged, and then uses a copyright issuing server to construct an ID fingerprint with license issued by the copyright server and sale information, and finally adopts fusion technique to construct a fingerprint-containing copy. And the verifying method extracts the ID fingerprint stored in the digital product to check the product license and identify the ID of the purchaser, and then checks and confirms the belonging relation by comparability of the evidence fingerprint. Correspondingly, the invention provides a digital product issuing system, comprising purchasing device, copyright issuing server and copyright server. And it provides a user-friendly and simple-to-apply method, largely improving safety and extendibility of the existing system.

The invention relates to a production system of light and textile industry clothing products. The system comprises a hanging device, wherein the hanging device comprises at least one material bearing device. The system further comprises a control device, at least one cut part identification device and an information reading device, wherein each cut part identification device has respective identification information, and the identification information of each cut part identification device is related to at least one cut part; the information reading device is used for reading identification information of each material bearing device from the material bearing device and reading the identification information of each cut part identification device from the cut part identification device. The control device is connected with the information reading device and carries out information binding on the identification information, received by the information reading device, of each cut part identification device and the identification information of the corresponding material bearing device, wherein the corresponding material bearing device bears all the cut parts related to the identification information of the cut part identification device.

The invention discloses a distributed type station train number tracing logical method. By means of the method, the functions such as train number creation, tracing, deletion and recovery of a CTC/TDCS can be effectively achieved. In the field use process, a tracing system is released downwards to stations in a distributed manner, and the influence scope generated when the stations are upgraded and reconstructed is small; single-station tracing data are configured concisely, arithmetic logic is clear, and fault tolerance can be achieved well and a train can be resumed when an abnormal station yard is shown; train number tracing among the multiple stations can be continued automatically and seamlessly, artificial data configuration is not needed, and the method can also be adapted to special station yard connection; and the train is traced in the interstation operation direction among the stations, and abnormal conditions such as train number backspacing and train number reverse tracing cannot occur.

The embodiments of the present invention disclose an RFID (radio frequency identification) label and person corresponding relationship establishment and trajectory tracking method and device. According to the method and device, a plurality of face images are divided into a plurality of image groups, wherein the face images in each image group belong to the same person; corresponding relationships between the image groups and RFID labels, namely corresponding relationships between the persons and the RFID labels, are established according to the face images and the acquisition time and acquisition positions of the RFID labels; and the trajectories of the persons are tracked through using the RFID labels corresponding to the persons according to the corresponding relationships between the persons and the RFID labels. Compared with a method using face images acquired by a face image acquisition device to track the trajectories of the persons in the prior art, the method does not need to capture face images in a whole process so as to avoid the influence of equipment and environment, and can track the trajectories of the persons according to the tracking of the RFID labels even under dark conditions or conditions where the definition of equipment is low or no face image acquisition devices are adopted.

The invention belongs to the technical field of oil-gas migration, and provides a device and a method for physically and quantitatively simulating an oil-gas migration path in real time in an on-line manner. The problem that the existing oil-gas migration only can be measured qualitatively is solved. A center control platform of the device is respectively connected with a control system and a monitoring system; a data processing and analyzing system is connected with a detecting system; the device also comprises a simulating box; the control system comprises a pressure control system, a temperature control system and an electrode control system; the simulating box is respectively connected with the pressure control system, the temperature control system and the electrode control system; the detecting system comprises a pressure detecting system, an electrode detecting and recording system and an oil and water metering system; the simulating box is respectively connected with the pressure detecting system, the electrode detecting and recording system and the oil and water metering system; and the data processing and analyzing system is respectively connected with the electrode detecting and recording system and the oil and water metering system. The existing quantitative measurement mode is omitted, and the device is high in precision and high in experimental defect and is convincing.

The invention relates to a cycle logistics packaging operation management method based on an RFID electronic tag. The method is characterized by comprising the following steps: building an asset coding system, wherein a barcode in the asset coding system comprises independent information and shared information of a logistics package and carried goods; writing the barcode into the EPC (Electronic Product Code) area of the RFID electronic tag through data reading-writing equipment; installing the RFID electronic tag on the logistics package; installing corresponding data acquiring equipment in the asset transferring link of logistics transportation; acquiring data of the RFID electronic tag by the data acquiring equipment; transmitting the acquired data to a logistics package management platform through a wireless signal by the data acquiring equipment; performing data analyzing and processing by the logistics package management platform. According to the asset coding system based on the RFID electronic tag, an operation management platform is used for acquiring data intelligently and performing data analyzing and processing, so that tracking, real-time monitoring, intelligent scheduling, assistant decision making and business intelligence of movable assets are realized.

The invention belongs to the technical field of multi-source data hierarchical fusion and extraction based on a multi-source sensor, and particularly relates to a hierarchical fusion and extraction method for moving target multi-source detection. The method comprises the following steps: performing registration fusion on a visible light image and an infrared light image to obtain a first-layer fusion image; registering the first-layer fusion image and the hyperspectral image, and weakening the registered image pixels according to the ground object classification area to obtain a second-layer fusion image; and performing target detection on the second-layer fusion image to obtain position information of the target in the image, sensing the target to obtain longitude and latitude of the target in a real environment, and adjusting an attitude of the aircraft to track the target to realize continuous detection and sensing of the target. In combination of multiple image sources signal features of the multiple image sources are effectively combined through image fusion, redundant repeated data information is removed, the accuracy of target detection is improved, and the detection efficiency is improved.

In large-scale high speed network, the invasion detecting system adopts always hierarchical distributive structure including dispersive acquisition, distributive processing and concentrated management. In the hierarchical modular structure, deputy technology is always adopted and the coordinating module in the coordinating management layer assigns and controls the deputies. In abnormal case that the static deputy in the lower layer can not settle, some request is sent to the coordinating module, and the coordinating module assigns movable deputy with specific function to the static deputy for complete the task before the cancel request is sent and the cancel command is sent separately to finish the assignment mechanism. The mechanism can balance the system load, respond timely, complete specific data processing function and make the movable deputy controllable.

The invention relates to a method for simultaneously tracking multiple equipment-free objects on the basis of a dynamic clustering algorithm by the wireless network technology. A plurality of wireless sensor nodes mutually communicating are arranged on an indoor ceiling, and each node serves as a wireless radio frequency emitter and can serve as the wireless radio frequency receiver simultaneously; when the object is not moved, signal intensity received between nodes is stable, otherwise, dynamic clustering is carried out according to different influences of signal intensity of multiple equipment-free objects on different nodes. A corresponding cluster is generated when having influence, and the node with the highest residual energy in the cluster is chosen as a cluster head. The cluster head of each cluster collects the vibration situation of signal intensity of each node and calculates the object position in the cluster by a probability coverage algorithm.

The invention provides a close contact person tracking method, a device, a storage medium and electronic equipment. The method comprises the steps: storing a close contact record data table comprisingan encryption identification code of a first user and an encryption identification code corresponding to a close contact person in a blockchain node in advance, and carrying out the intelligent contract technology when the state of a user changes; and executing decryption of the encryption identification code, obtaining the encryption identification code of the close contact person on the block chain, extracting the public key and the private key of the close contact person according to the key number of the close contact person, decrypting the encryption identification code corresponding tothe close contact person to obtain personal information of the close contact person, and sending notification information to the corresponding close contact person. The tracking of a close contact person is realized. In the tracking process of the close contact person, encryption protection is provided for personal information of the user, and the tracking function of the close contact person is achieved on the premise that personal privacy information (behavior data or position data and the like) of the user does not need to be provided.