44results about How to "Reliable basis for decision-making" patented technology

The invention discloses an abnormal/fault positioning detection method based on a binomial tree model. The method comprises the steps of firstly, converting the physical layout of an industrial pipe network into the binomial tree structural model, and storing the detected data into corresponding nodes of a binomial tree; secondly, according to the character of the binomial tree and the relevance between information of the detection nodes, and utilizing the flow conservation property of the data flow of the industrial pipe network for achieving computation of the data flow of nodes of sensors not to be deployed; thirdly, according to the relation between the actual measuring value of the deployed sensors of the detection nodes of the industrial pipe network and the computation value, analyzing the operation condition of the industry, and judging the abnormal/fault types; finally, utilizing the structure characteristics of the binomial tree model for analyzing the abnormal/fault positions of the industrial pipe network and giving an alarm. According to the method, the design is simple, the cost is low, abnormal/fault detection by a traditional artificial tour gauging method is broken through, and the real-time detection on the working condition of the industrial pipe network in a real time mode under the limiting situations of the detection nodes is achieved.

The invention discloses a vehicle trajectory prediction method and system based on video vehicle passing data. The method comprises the following steps: collecting vehicle passing data, and extractingeffective field information in the vehicle passing data; constructing a basic road network; sorting the vehicle passing data according to the sampling time to form a total travel chain of each vehicle in the sampling time period; extracting two adjacent sample sequences in turn, calculating the travel time of the vehicle passing through two adjacent intersections according to the sample sequences, judging that the two adjacent intersections are travel chain segmentation points, and segmenting the total travel chain into a series of sub-travel chains according to the travel chain segmentationpoints; calculating the steering state probability of each vehicle at each intersection according to the sub-travel chain to obtain a steering probability matrix; determining that the intersection corresponding to the maximum steering probability in the steering probability matrix is the intersection to be reached by the vehicle driving trajectory prediction. The invention avoids the shortcomingsof relying on continuous positioning data, so as to realize the travel behavior characteristic analysis of any vehicle.

The invention provides a scheduling method of disposable consumption emergency materials. The method includes the steps that the variety and the number of the emergency materials to be transported, various emergency material supply stations and an emergency point are determined; alternative transport road segments of the emergency materials to be transported are determined; required driving time of the road segments is calculated; various probable roads from a certain emergency material supply point to the emergency point are determined; road connectivity of the various probable roads from the certain emergency material supply point to the emergency point is determined; a comprehensive benefit optimization function of the roads is built; a comprehensive benefit optimization function value of the various probable roads from the certain emergency material supply point to the emergency point is calculated, and when comprehensive benefit optimization function value is minimum, the corresponding road is the optimal transport road from the emergency material supply point to the emergency point; a scheduling scheme of the emergency materials is acquired, and transport scheduling is conducted. The method combining multi-road optimization selection with material allocation is adopted, and then transport and allocation of the emergency materials can be effectively scheduled at special moments.

According to the information processing method and system based on artificial intelligence and big data and the cloud platform provided by the embodiment of the invention, the AI thread for interest mining is an intelligent thread of which the set thread performance parameter obtained by centralized positioning of the AI thread comprising more diversified thread configuration states meets the setting requirement; therefore, compared with interest mining by means of a fuzzy selected AI thread, the compatibility degree between the target AI thread and the user behavior big data can be ensured, so that configuration constraints on the target AI thread during interest mining of the user behavior big data are avoided; in this way, the integrity and accuracy of the obtained session interest mining condition can be ensured, and the session interest mining condition comprises the interest theme label or the potential session interest, so that a reliable decision basis can be provided for subsequent interest demand analysis and business push optimization.

The invention discloses an airport security management system and a management method thereof. The system comprises at least one laptop or a personal computer (PC) terminal, a data memory, a data processing server, at least one hand-held terminal, a gateway, a relay and an Ethernet; the data processing server is electrically connected with the laptop, the PC terminal and the data memory and is connected with the hand-held terminal through a wireless communication unit; a camera, an image acquisition module and a global positioning system (GPS) positioning module are arranged on the hand-held terminal; and the data processing server is also sequentially connected with the gateway, the relay and the Ethernet electrically, and is used for reading and processing the information in the data memory and displaying and storing the processed information in the data memory. The airport security management system and the management method thereof have the advantages of real-time information reporting, accurate geographic location positioning, artificial form filling error avoidance, information state real-time control, high automation degree, resource conservation and the like.

The invention discloses a gridding automatic monitoring system integrating augmented reality and geographic information. The gridding automatic monitoring system comprises rear-end intelligent software and front-end sensing equipment (an intelligent lamp post and the like). The rear-end intelligent software mainly refers to a gridding automatic monitoring system integrating geographic informationand augmented reality. The front-end sensing equipment (intelligent lamp poles) is installed in different areas of a park and used for video security, miniature meteorological stations, information publishing, broadcasting and the like, the front-end sensing equipment (intelligent lamp poles) sends all data information to the management server, and the management server provides a function of remotely calling data for a user side. The gridding automatic monitoring system integrating geographic information and augmented reality has the functions of multi-parameter fusion early warning, in-parkvehicle monitoring and on-site video transmission. The system can be used remotely through a public wide area network and can also be used through a local area network, and a powerful guarantee is provided for lack of a public network environment in an emergency occasion. The gridding automatic monitoring system integrating geographic information and augmented reality can be applied to industrialparks of petroleum, chemical engineering and the like; according to the functions of automatic patrol, electronic boundary, forbidden zone alarm, unattended operation and the like, potential safety hazards can be rapidly recognized and automatic early warning can be achieved under the unattended operation condition, and powerful information support is provided for safety management and emergency rescue.

The invention relates to a full-process electronic operating system for inspecting the quality and safety of an air traffic control system and the inspection method thereof. The system consists of a first PC terminal, a first Ethernet network, a first relay apparatus, a first gateway, a data processing server, a data memory, a second PC terminal, a second Ethernet network, a second relay apparatus, a third PC terminal or at least one first laptop, a third relay apparatus, a third gateway, a fourth PC terminal, a fourth Ethernet network, a fourth relay apparatus, a fourth gateway, a fifth PC terminal, a fifth Ethernet network and a fifth relay apparatus. The system and the method have the advantages that: a clear and highly visual human-human interactive interface with complete user interfaces is provided for various users, and the distributed collaboration and interaction environment and the quality and safety inspection process are transparent; the organization management, process management, communication & coordination and collection & notification of process information of the quality and safety inspection work of the air traffic control system can be carried out electronically, and the objective of real-time monitoring of the inspection process is achieved.

The invention discloses an emergency command management system for a mine. A command and dispatch center station arranged on the ground is connected with underground command branches distributed in the mine through optical fibers so that before an accident occurrence or a security exercise, the command and dispatch center station can indicate a safe path through underground broadcasting and an LED information screen according to the accident cases and corresponding safety evacuation emergency plans prepared and saved in a emergency plan library, timely commands the underground workers to withdraw from the site effectively, and provides a reliable decision-making basis for rescue and relief work according to system records after a disaster.

The invention is applicable to the technical field of fire protection distribution, and provides a fire protection area distribution method, a device and a terminal device. The method comprises the following steps: obtaining fire protection sensing data of the fire protection area; Pre-processing the fire sensing data to obtain the eigenvalue of the information layer; The eigenvalue of informationlayer is fused to get the result of data fusion of information layer in sub-fire area. The data fusion results of the information layer of the sub-fire area are fused in the feature layer, and the data fusion results of the feature layer of the sub-fire area are obtained. The decision-making level data fusion is carried out on the feature level data fusion results of the sub-fire area, and the fire detection results about the fire area are obtained. The invention can determine whether a fire occurs or not, judge the fire coverage area and the harm degree, improve the fire identification ability, the detection ability and the anti-interference ability, reduce the misjudgment probability, and provide the reliable decision basis for the fire emergency management personnel through the multi-level data fusion of the fire protection sensing data.

The invention provides a method for determining an acting range of a biogas gas guiding well of a municipal solid waste landfill, comprising the following steps of: drilling a plurality of gas guiding wells in the municipal solid waste landfill along the same straight line; selecting the two gas guiding wells to be respectively used as a gas pumping well and a detection well; if the pressure of the detection well is positive pressure, determining that the acting range of the gas guiding wells is less than the distance between the two wells; if the pressure of the detection well is negative pressure, determining that the acting range of the gas guiding wells is more than the distance between the two wells; selecting different gas guiding wells to be combined to gradually and accurately determine the acting range interval of the gas guiding wells; and when the pressure of the detection well is zero or weak negative pressure and the oxygen concentration is more than zero, determining that the distance between the detection well and the gas pumping well is the acting range of the gas guiding wells. According to the method for determining the acting range of the biogas gas guiding well of the municipal solid waste landfill, the problems of the existing method that the engineering period is long and the quantity of the drilled wells is more are solved, and the aim of determining the acting well of the gas pumping well by an optimized scheme is achieved; and the method is convenient to operate and is safe and practical.

The invention discloses a node load prediction method considering source-load coordination, which comprises the following steps: acquiring node load historical data, including the actual output of renewable energy on the load bus bar and the actual load of the node; carrying out non-parametric estimation fitting on the renewable energy output curve, and reducing the theoretical output of renewableenergy under power limitation; reducing the theoretical load of the node under the condition of reducing load regulation; taking the theoretical load of nodes and the theoretical output of renewableenergy as input and the actual load of nodes as output, and training a neural network; obtaining a node total load prediction model based on source-load coordination; based on support vector machine (SVM) model, predicting the theoretical load of nodes and the theoretical output of renewable energy; inputting a prediction result to the node load prediction model, and obtaining the final node loadprediction value. The method can provide more reliable decision-making basis for future power system operation and dispatching.

The invention discloses a construction process of a special-shaped transparent aluminum veneer ceiling under a steel truss. The process comprises the following steps of firstly, joint checking of a drawing and secondary design; secondly, design scheme disclosure; thirdly, suspender and keel machining and mounting; and fourthly, aluminum veneer mounting construction. Due to the application, a one-time molding good rate of construction of the special-shaped transparent aluminum veneer ceiling under the steel truss can be improved, rigidity and safety stability of the ceiling are greatly improved, a large amount of ceiling maintenance and repair construction can be avoided, the ceiling decoration construction duration can be shortened, input of persons and materials can be reduced, and through diversification and visualization disclosure of the BIM technology, animation demonstration, VR and the like, the good condition is created for subsequent decoration and construction.

The invention discloses a rainfall titration tester. The rainfall titration tester comprises a cabinet, a single-chip microcomputer is arranged in the cabinet, and the single-chip microcomputer is connected with a memory, a water injection metering unit, a display control unit and a power supply unit. The rainfall titration test method comprises following steps: apparatus calibration; and titration testing. By employing the above technical scheme, according to the tester and the test method, by employing the principle of constant-flow pumping by a charge pump, artificial errors and field calibration uncertainty caused and brought by difficult control of the water injection speed by artificial titration are eliminated, an error evaluation standard is normalized and unified, the acquisition accuracy of the rainfall is improved, more reliable decision bases can be provided for improvement of the prediction precision of flood early warning, and the blanks of field calibration and test tools for rainfall acquisition accuracy are filled in.

The invention discloses a wire bonding online monitoring method based on a digital twinning technology. The method comprises the steps of establishing and optimizing a simulation model of wire bonding, establishing a data model of wire bonding, and establishing a visual model of wire bonding. The digital twinborn model is formed by mutual coupling evolution of a simulation model, a data model and a visual model. According to the online monitoring method, real-time analogue simulation is carried out on the wire bonding process by establishing the digital twinborn model for wire bonding, the digital twinborn model can be used for receiving external environment parameters and operation parameters in real time, real-time simulation is carried out on the bonding process, and visual monitoring on the bonding process is realized in a virtual space; key material parameters, such as crystal phase distribution, dislocation, porosity, atomic diffusivity and the like, which influence the service life and reliability of the device are provided for operators, and are taken as reference bases for judgment and decision making, so that the product yield is improved, and the loss caused by the fact that material defects are not perceived in time is reduced.

The invention discloses a scene modeling method suitable for planning operation of an integrated energy system, and the method comprises the steps: firstly collecting photovoltaic output data, wind power output data, electric load data, gas load data, cold load data and thermal load data of a researched region, carrying out the per-unit processing of the obtained data, arranging the data according to time, and generating a scene data set; then, adopting an improved LHS method to carry out sampling and correlation control processing on the scene data set, and obtaining a sample matrix; and finally, clustering the sample matrix by adopting an improved K-means method to form a specific probability scene which retains the characteristics of the original scene. The method overcomes the defects that in the prior art, scene description is inaccurate, and it is difficult to completely adapt to future planning and operation, lays a foundation for subsequent system planning design, operation scheduling and the like, avoids the problem that reliable operation of the system is affected by installation mismatching caused by inaccurate traditional scene prediction methods, and effectively improves the design and operation economy of the comprehensive energy system.