44results about How to "Track in time" patented technology

The invention relates to a monitoring anti-theft tracker for a power supply transformer which comprises a GPS tracing positioning module, a monitoring sensor, a wireless communication module, a battery and a power control module which is used for a selecting transformer to charge for the battery or the battery to supply power to an anti-theft processor. A single-phase terminal of the transformer is connected with the power control module. The battery is connected with the power control module which is connected with the anti-theft processor. The anti-theft processor also comprises an anti-theft processing module which is used for sending out an anti-theft alarming instruction according to an abnormal signal of the monitoring sensor and a data transmission module which is used for extracting GPS address information and sending number of the transformer, the GPS address information and the anti-theft alarming instruction to the wireless communication module. The monitoring sensor is connected with the anti-theft processing module. The GPS tracing positioning module and the anti-theft processing module are connected with the data transmission module. The data transmission module is connected with the wireless communication module. The monitoring anti-theft tracker for the power supply transformer has the advantages of good reliability and good detection effect and can trace the position of a stolen transformer in time.

The invention relates to an air pollutant monitoring and early-warning method and an air pollutant monitoring and early-warning cloud platform. The air pollutant monitoring and early-warning cloud platform comprises a data acquisition module, a data processing platform and a communication module, wherein the data acquisition module is used for acquiring a pollutant concentration in the air, a wind direction and a wind speed; the data processing platform is used for acquiring data output by the data acquisition module, adopting a puff orbit model for conducting three-dimensional flow field simulation, correcting error data through utilizing fitted historical pollutant concentration and wind speed monitoring data, predicting a pollutant concentration at a fixed location in future and calculating an air pollution index, and conducting three-dimensional flow field simulation by means of the puff orbit model to obtain pollutant concentration planar distribution by utilizing pollutant concentrations at monitoring points and the wind speed monitoring data for tracking a pollution source precisely; and the communication module is used for connecting a management system in a wired or wireless manner, connecting a user terminal in a wireless manner, and issuing air quality inspection reports, prediction reports, pollutant distribution contour diagrams and possible pollution source locations to the user terminal.

The invention provides a vehicle alarm method and device. The method includes the following steps that: when it is detected that a vehicle is started, image information in a preset direction in the vehicle is acquired through a camera; face information is extracted from the image information, whether target face information matched with the face information exists in a pre-stored face information library is detected; and if target face information matched with the face information does not exist in the pre-stored face information library, alarm information is sent to a preset target terminal through the Internet of Vehicles, wherein the alarm information contains a vehicle identifier, vehicle position information and the extracted face information. With the vehicle alarm method and device of the invention adopted, the vehicle can be tracked timely, and the risk of being stolen of the vehicle can be decreased.

The invention provides a system and a method for recording automobile accidents. The system for recording automobile accidents comprises 1, an automobile event monitoring module for monitoring an automobile hit event or an automobile window and/or door knocking event, and producing a monitoring result, 2 a sensor module for acquiring environmental information in an automobile and/or outside the automobile based on the monitoring result, wherein the environmental information comprises current position information of the automobile, and 3, a data memory module for storing the environmental information in the automobile and/or outside the automobile. Through the system and the method, environmental information in an automobile and/or outside the automobile is recorded in real time so that data support for accident evidence collection and anti-theft tracking is provided.

The invention provides a vehicle video recognition method. The vehicle video recognition method comprises the following steps of decoding video data of a monitoring device and separating data frames to form image data of each frame of videos; performing vehicle license plate recognition to each frame of images and building a video image vehicle license plate recognition coinciding degree list; calculating probabilistic list data of a vehicle license plate recognized from continuous adjacent frames of images and locking vehicle license plate information in videos; calibrating vehicle license plate recognition accuracy again according to the vehicle license plate recognized in the videos of the monitoring device and accordingly acquiring accurate vehicle recognition effect. The vehicle video recognition method aims at fully applying the existing monitoring device, further finishing perspective mastering of monitored video information, improving effective data utilization of public security department, security and protection department, traffic department, traffic police department and the like, improving automation degree and resource utilization rate, building an intelligentized monitoring application platform for recognition, analysis, application and aid decision making and with the monitoring device as an intelligentized node.

The invention discloses a high-precision aircraft engine assembly quality detection robot system, and relates to the technical field of aircraft engine assembly quality detection. According to the system, quality data of an engine are acquired by an industrial camera and an optical measuring device on a mechanical arm, a three-dimensional model is built by a computer according to the quality data,a detection result is judged, displayed to a detector and stored, rapidness and accuracy of the detection result of engine quality are powerfully ensured, and the detection result is timely and accurately recorded and traced.

The invention relates to a control system and a control method of RFID-based quality control of a supply chain. The control system comprises a system database, a data recording module, a data reading module and a data analysis module. The control method comprises the steps: the system database is created; the data in the system database records a storage unit corresponding to a product identification code and correctly corresponds to information in an RFID tag which is attached on the product and is the only representation of the product; and all data relevant to characteristics of product quality in the supply chain are read according to the content stored in the system database and the quality condition of the product corresponding to an RFID identification code is analyzed. Compared with the prior art, the control system and the control method of the invention can avoid complex recording in writing, shorten the time used for analyzing the data of quality control in the whole supply chain, and prevent errors which may occur in the analysis of the data of the product quality by the personnel in the prior art.

The invention discloses an IOT (internet of things)-based intelligent online multilevel monitoring system of urban sewage discharge points. The monitoring system comprises a monitoring host and transmission units, and is characterized in that the monitoring host is connected with multiple monitoring subsystems via the Internet, each transmission unit and each monitoring subsystem are connected with a network node through a wireless network, the network nodes are in wireless connection with a remote upper computer, each monitoring subsystem comprises a monitoring management host which is connected with a set-top box for remote communication, the set-top box is connected with multiple regional centralized controllers arranged in each region through a wireless network, the regional centralized controllers are in wireless connection with multiple environmental sensors, a ZigBee acquisition module is connected with the sensors and the ZigBee acquisition module and an information acquisition terminal are connected with the network nodes through the wireless network, the network nodes are in wireless connection with the remote upper computer, a mobile communication terminal is connected with a ZigBee module, and transmits data to a backend server through a public mobile communication network; the backend server receives and stores the data sent out from the mobile communication terminal.

The invention discloses a work log storage method of an intelligent electronic lock, a system and the intelligent electronic lock. The work log storage method comprises the following steps: the intelligent electronic lock receives an unlocking instruction, and a lock body is controlled and unlocked; and the intelligent electronic lock records and stores a work log, wherein the work log comprises unlocking time of the lock body and a unlocking instruction source; and the intelligent electronic lock uploads the recorded and stored work log to a server. According to the invention, the intelligentelectronic lock and the server can store the work log, the unlocking time of the intelligent electronic lock can be clearly recorded, a source of the unlocking instruction is clearly recorded, so that after event of unlocking of the electron electronic lock due to malicious use authorization is happed, person can be timely tracked, processing measurements can be timely adopted, and loss can be retrieved.

The invention discloses an anti-lost early warning method and an anti-lost early warning system. The method comprises the following steps that a first mobile terminal establishes near field wireless communication connection with wearable equipment; and when the first mobile terminal is disconnected with the wearable device, other mobile terminals in the communication module perform scanning, and when the first mobile terminal and the wearable device are not scanned, other electronic devices perform scanning, and when the first mobile terminal or the wearable device is scanned and connection is established, the other electronic devices perform scanning; the positions of the other electronic devices are sent to other mobile terminals through the server, and the other mobile terminals are triggered to give an alarm. When other mobile terminals determine that the distance between the first mobile terminal and the wearable device is not within the near field communication range, other electronic devices search for the first mobile terminal and the wearable device at the same time, the search range is expanded, and the user experience is improved under the condition that the user does not know that the first mobile terminal or the wearable device is lost; the positions of the first mobile terminal and the wearable device can be tracked in time.

The invention provides a film and television information recommendation method and device, electronic equipment and a storage medium. The film and television information recommendation method comprises the steps: obtaining a first film and television label corresponding to a user from historical behavior data as portrait information of the user; obtaining a to-be-recommended program list corresponding to the first film and television label from a preset film and television program database according to the first film and television label, wherein the to-be-recommended program list is a list containing to-be-recommended film and television programs; calculating a recommendation index of the to-be-recommended film and television programs in the to-be-recommended program list through a presetalgorithm; and finally, screening the to-be-recommended film and television programs according to the recommendation indexes to generate a film and television program recommendation list corresponding to the user, and recommending film and television information to the user. The film and television information recommendation method is high in flexibility, can timely track the interest condition of the user at the current time point, can improve the accuracy of recommendation information, and can update recommendation quickly.

The invention discloses a method for alarming automobile stealing and tracking a stolen automobile. The method comprises the following steps of: when a vehicle-mounted terminal detects vehicle stealing, starting a vehicle alarm system; starting a vehicle tracking system and reporting the dynamic position of a vehicle to a monitoring center connected with the vehicle-mounted terminal; and tracking the stolen vehicle by using a service system connected with the vehicle-mounted terminal. Due to the adoption of the technical scheme, the method for alarming vehicle stealing and tracking the stolen vehicle is more reliable and instant, the stolen vehicle can be tracked in time, policemen can solve a case and recover the stolen vehicle in time, and loss is reduced for the owner of the vehicle.

The invention discloses an attendance management method and system, and the method comprises the steps: obtaining attendance check-in information, generating attendance check-in data based on the attendance check-in information, storing the attendance check-in data, and storing the attendance check-in data to a blockchain if a first condition is met. According to the scheme, the attendance data isstored in the block chain, an administrator does not need to take charge, so that the attendance data stored in the block chain is public and transparent, tamper resistance of the attendance data isguaranteed, meanwhile, the attendance situation can be tracked in time, and the attendance management efficiency is effectively improved.

The invention provides a personnel on-duty management method and system, and the method comprises the steps: obtaining the position information of a manager in a toilet; according to the obtained position information, detecting the distance between the management personnel and the toilet; and determining whether to give an alarm prompt according to the detection result. By means of the technical scheme, personnel on-duty monitoring can be accurately and efficiently achieved, and manpower and material resources are saved.

The invention relates to the technical field of video analysis, in particular to a system for automatically simulating and restoring highway events through a high-precision map. The system comprises a monitoring camera unit, the output end of the monitoring camera unit is connected with an accident area positioning unit, the output end of the accident area positioning unit is connected with an involved road section map extraction unit and an involved vehicle identification unit, and the output end of the involved vehicle identification unit is connected with a u3d accident simulation unit. According to the invention, the accident area positioning unit is used for positioning an accident place, positioning information is transmitted to the involved road section map extraction unit, the involved road section map extraction unit is used for accurately extracting map information of an accident road section, and meanwhile, the involved vehicle unit is used for identifying involved vehicle information. And the identification information is transmitted to the u3d accident simulation unit, the u3d accident simulation unit carries out analogue simulation on the driving track and the real position of the vehicle, the whole process of the accident is restored, and traffic management personnel can conveniently determine the cause of the accident.

The invention discloses a joint estimation method for branch current, charge state and power state of a parallel battery pack, which comprises the following steps of: firstly, acquiring the branch current of the parallel battery pack, establishing an equivalent circuit model of a battery, and simultaneously, taking the estimated branch current and terminal voltage as input; a recursive least square method with a forgetting factor is used for identifying model parameters, a self-adaptive forgetting factor capable of changing along with a residual error is added into extended Kalman filtering to estimate the state of charge, and power state estimation under the constraint of the state of charge and terminal voltage is carried out. According to the method, the influence of the inconsistency of the lithium ion battery monomers on the branch current is considered, and the adaptive forgetting factor capable of changing along with the residual also improves the adaptability of the extended Kalman filtering to different environments, so that the estimation precision of the branch current, the charge state and the power state is improved.

The invention relates to the technical field of block chains, and discloses a language recognition system based on a block chain technology. Voice input: controlling the voice input by pressing a mobile terminal or a terminal control button; the voice is imported into the system; step 2; voice recognition: performing intelligent recognition on the input voice by using an intelligent system; the speech recognition technology mainly comprises three aspects of a feature extraction technology, a mode matching criterion and a model training technology; a third step; and voice de-noising: processing the surrounding environment of the recognized voice to weaken or eliminate the noise brought by the surrounding environment. According to the invention, the block chain is used in cooperation with the bind speech recognition; the data can be effectively prevented from being leaked in the transmission process, and the use safety of the data is improved; the data can be tracked in time; the system can trace the source, facilitates the later query, and improves the practicability and convenience.