11results about How to "Improve response time" patented technology

The invention discloses a satellite autonomous task planning method and system based on a ground digital mirror image, and belongs to the technical field of spacecraft measurement and control. Through the states of a satellite-ground link synchronous satellite and a ground digital mirror image, a task request is received in the ground digital mirror image, a planning algorithm is operated, a candidate scheme is generated for high-fidelity simulation deduction and verification, a feasible scheme is evaluated and selected and converted into an instruction sequence to be uploaded to a satellite, the satellite executes an instruction and feeds back the state, and a closed loop is formed. According to the method, a complex planning and verification process is placed in a ground digital mirror image, the efficiency and reliability of task planning are remarkably improved by using the strong computing power of the ground, meanwhile, the autonomous operation capability of a satellite is improved, and the problems that traditional satellite task planning is slow in response and poor in reliability, and the autonomous planning capability of a pure satellite is weak can be solved.

The embodiment of the invention provides a logistics track description generation method and device, equipment, a medium and a program product, and belongs to the technical field of data processing. The method comprises the following steps: acquiring original logistics track data of a target express; determining a business scene to which the target express item belongs based on the original logistics track data; obtaining track description rule configuration of the target express in the business scene; and generating logistics track description of the target express in the business scene according to the track description rule configuration. By adopting the embodiment of the invention, the response time efficiency of express transfer track description can be improved.

This application discloses a self-service voice-guided tour system and method. The system includes a voice-guided tour terminal, a positioning base station, and an edge server. The positioning base station is used to detect events where the voice-guided tour terminal enters the electronic fence area of ​​a first exhibit. The edge server is used to respond to a first introduction request from a first number of first voice-guided tour terminals, and output a first response based on the first introduction request; control a second number of first voice-guided tour terminals to output the first response and / or preset introduction information for the first exhibit; and the edge server is also used to determine the first exhibition status of a visitor based on location information and entry time; generate prompt information based on the first exhibition status, and control at least one second voice-guided tour terminal to output the prompt information. This application can achieve precise guidance of visitor flow in exhibition halls.

The application relates to the technical field of monitoring data processing, and discloses a monitoring terminal of a combined overflow pipeline system and a data processing method, which comprises the following steps: time alignment of liquid level data and gas concentration data based on timestamps, frequency domain filtering of time series data sets based on the set blocking bandwidth of astronomical tidal periods, segmentation and interception of target time series data sets based on a sliding time window in an edge computing terminal, determination of the correlation result of the liquid level and the gas concentration based on a correlation rule algorithm, matching of the change rate, the change gradient and the correlation result with the pipe network structure correlation, determination of the risk identification of the corresponding monitoring terminal based on the pipe section connection relationship and the flow direction information, and division of the event level based on the risk identification in the edge computing terminal. The monitoring data is processed through edge computing, so that the response timeliness, data efficiency and intelligent level of the combined overflow pipeline system monitoring are ensured.

The application discloses a kind of transaction flow data exception detection method and system, it is related to big data analysis technical field.The method includes: based on transaction flow data, the operation behavior data of target user in transaction process and the interactive behavior data after transaction completion are collected, and user operation behavior sequence and user interactive behavior sequence are formed by time stamp sorting;The sequence is input into the initial risk coefficient output by pre-training exception risk prediction model, and the model integrates individual behavior baseline and adaptive weight module;The group behavior baseline of similar user group is obtained, and the final risk coefficient is obtained by correcting initial risk coefficient in combination with the matching result of sequence and group baseline;Based on preset risk threshold, final risk coefficient is executed graded exception early warning operation.This application improves the accuracy and timeliness of transaction flow data exception detection by whole-process behavior sequence analysis, individual and group baseline double calibration and dynamic weight adjustment.

The invention discloses a communication delay control and prediction method for edge data transmission, which relates to the technical field of edge computing, and comprises the following steps of: S1, extracting bandwidth occupation data and message complexity from resource limitation attributes by analyzing current network environment parameters; performing preliminary arrangement on the data related to the synchronization state by adopting a field classification rule and field priority ranking to obtain a classified network state data set; s2, according to the classified network state data set, extracting information fields required by real-time prediction for synchronous state attributes, screening out key field contents in combination with a field updating frequency and a field dependency relationship, and if it is judged that the field extraction efficiency is lower than a preset standard, adjusting a field format standard to improve the processing speed, and determining a carefully selected field set; according to the communication delay control and prediction method for edge data transmission, the data transmission delay and bandwidth occupation are effectively reduced, and the real-time performance and reliability of message interaction are improved.

The application discloses a digital twin linkage scheduling method based on reinforcement learning and belongs to the technical field of intelligent building control and digital twin, aiming at solving the problems of difficult strategy arrangement, time sequence and priority conflict, link time delay fluctuation and difficult read-back verification in multi-subsystem linkage scheduling. The application collects event data, device state data, link time delay data and execution read-back data and maps them to a digital twin space, constructs a linkage constraint state diagram containing time sequence constraints, priority constraints and mutual exclusion constraints, inputs a double-layer multi-agent reinforcement learning model and generates a linkage action sequence based on an action mask, combines time delay sensing instruction issuing and read-back consistency verification to trigger alternative resource rescheduling, and realizes the technical effects that linkage actions meet constraints, digital twin display is consistent with real execution and is traceable.

The application discloses an astronomical satellite opportunity target observation automatic uplink system based on a Beidou short message, which comprises an opportunity target observation application receiving and automatic scientific plan making module, an opportunity target observation application receiving module, a scientific observation plan generating module, and an observation constraint checking module; a payload work plan making module based on a message trigger, a payload control plan generating module, a satellite usage constraint rule verifying module, a Beidou uplink state available adding module, an opportunity target observation instruction processing module, a payload control plan acquiring and processing module, an opportunity target observation instruction generating module, a plan and parameter legality verifying module, and a payload control instruction generating module; and a Beidou short message opportunity target observation instruction sending and control module, which is used for realizing accurate sending of the opportunity target observation instruction in the form of a Beidou short message through an interactive interpretation strategy and a three-level resending strategy.

The application discloses a kind of multi-expert architecture AI intelligent question and answer method and system in government field, comprising: A1: new policy text data, enterprise policy consultation question text data, historical policy answer example text data are collected and respectively preprocessed;A2: extracting new policy preliminary semantic features, then extracting explicit rule text segment set;A3: extracting the implicit constraint text corresponding to explicit rule text segment, then carrying out associated integration operation, obtain structured policy explicit and implicit rule text set;A4: extract historical case experience initial feature;Again, through government semantic bridging mechanism, complete semantic dimension alignment;A5: extract policy-case fusion feature;A6: calculate expert fusion weight vector, then decode, obtain policy question and answer reasoning result.The application can solve the problem that the AI question and answer effect is poor caused by the fact that the historical case experience cannot be quickly adapted after the traditional method is updated.

The invention relates to the technical field of orchard monitoring, and discloses a citrus orchard environment monitoring and intelligent early warning system based on the Internet of Things, and the system comprises a data collection and evaluation module; a sensing target setting and equipment laying module; a disease and pest prediction module; a risk level evaluation module; and a personalized operation module. Environment and plant health data are collected in real time through a multi-source sensor, in combination with phenological stage division and disease and pest rhythm analysis, a sensing target is dynamically set, equipment layout is optimized, the disease and pest occurrence probability is accurately predicted by means of time sequence map matching and a climate-driven mechanism, and finally personalized operation suggestions are generated based on risk level assessment. Full-chain closed-loop management from data acquisition, intelligent early warning to precise prevention and control is realized, and scientificity, timeliness and prevention and control efficiency of citrus orchard management are remarkably improved.

The utility model discloses a fire door of integrated fire extinguishing gas automatic release system, and the characteristics are including: the rotation board of rotation connection on the door frame, the exhaust pipe of fixed connection between the rotation board and the gas storage chamber, the starting device of setting in the gas storage chamber, the electric push rod of fixed connection in the door board, the rack of sliding installation in the door board, and the fixed connection of rack and the telescopic end of electric push rod, the gear of fixed connection on the pivot of rotation board, and the gear and rack engage, the advantage is that the utility model discloses the release passage of gas outlet and exhaust pipe is normal hidden in the door board inside, fundamentally avoids the risk of blockage caused by dust or biological parasitism, ensures the normal use of fire extinguishing function of the fire door under the fire emergency state, improves the actual combat protection efficiency of the fire door.