289results about How to "Improve decision-making efficiency" patented technology

The invention provides a method and system for evaluating the building fire situations and instructing evacuation. The method comprises the following steps: monitoring the fire information in real time, and calculating the fire source position information, the fire source strength information and the fire developing situation information according to the fire information; estimating the position information of people in each area of the building, and estimating the density distribution of people in each area; and calculating the best evacuating directions and evacuating paths according to the fire source position information, the fire source strength information, the fire developing situation information, the density information and position information of people in each area of the building and the building structure information. The embodiment of the invention fully utilizes the modern technologies of sensing, communication, calculation, decision making and the like, provides a feasible solution for evacuation based on the disaster developing situation in the building, and improves the decision making and evacuation efficiencies.

The invention discloses a method and a system for optimal scheduling on joint flood control for cascade reservoir groups. The method includes the steps of firstly, determining flood type according to real-time reservoir level and the process of forecasting runoff in case of flood; secondly, deciding a primary protection object according to the flood type and downstream control-point flood control standards; thirdly, automatically selecting flood control optimization objectives and corresponding optimization scheduling models in a system model base; and fourthly, solving and optimizing the optimization scheduling model by modified genetic algorithm. The method and the system dynamically judge the level of flood and finish hierarchical scheduling based on the level of flood. In addition, projection of downstream protection objects, dam safety and flood recycling are achieved by selecting proper optimization scheduling objectives according to comprehensive information of the reservoirs, such as regulation performance, scheduling period and reliability in forecast flood during hierarchical scheduling, efficiency in decisions for the reservoir groups is improved, and mass data statistics show that the decision efficiency is improved by about 30% by the method and the system.

The invention discloses an anti-fraud recognition method used for solving the problem that the anti-fraud capability is insufficient in the medical field. The method provided by the invention comprises the following steps of determining a target event; extracting target data related to the target event; and processing target data by adopting at least two methods of a decision-making model constructing method, a fraud data recognition method and a fraud behavior recognition method. The invention further provides a storage medium and a server with a safe computer.

The present invention discloses an intelligent emergency decision support system for emergency communication, and the system is established based on various models and automatically integrates information from various sources and information in various data formats. Intelligent automatic classification, clustering, automatic correlation and personalized processing are conducted through deep digging, collision and analysis of various data resources on each system platform. Based on big data platform and assistant decision-making model, the system can automatically implement one-stop automatic analysis, automatically generate disposal schemes and communication support schemes for the disposal of emergencies, and evaluate communication support schemes according to different site environments and requirements, give suggestions for evaluation reports and regenerate specific evaluation reports. Intelligent and standardized emergency disposal is really realized, so as to improve the decision-making command and rapid response ability, so that emergencies can be dealt with in the shortest time to minimize disaster losses.

The invention discloses a coronary artery virtual stent implantation method and system based on haemodynamics analysis. The coronary artery virtual stent implantation method comprises the steps that CTA image data of a patient are read, plaque is identified, a vascular three-dimensional image model is constructed, the plaque is removed, and the position of the plaque is recorded; the physiological parameters of the patient is received, a CFD boundary condition is set, and CFD calculating is conducted; according to a three-dimensional vascular form, a plaque characteristic and FFR values throughout blood vessels, a lesion is identified; according to the identified lesion, a stent specification database and a virtual stent implantation strategy, an implantation scheme is generated, and a new vascular three-dimensional geometric model is generated; under the new three-dimensional geometric model, fluid calculation is conducted again, according to a preset selecting standard, an optimal stent implantation scheme is output. According to the coronary artery virtual stent implantation method and system, blood vessel stenosis degree calculating, stent implantation strategy generating and quantitative evaluating of the virtual stent implantation effect are completed automatically, the operation scheme is planned accurately, the doctor decision efficiency is improved effectively, and the risk of dependence on the artificial judgment is reduced.

The invention discloses headlamp adaptive control method and device. The method comprises the steps of: (1) acquiring the current speed v of an automobile in real time, and acquiring the safe stopping distance S of the automobile at the current speed; (2) acquiring a horizontal deflection angle omega corresponding to the optimum lighting position of the headlamp; (3) acquiring a vertical deflection angle beta corresponding to the optimum lighting position of the headlamp; and (4) outputting control signals to control the turning of the headlamp in real time. The device comprises a control unit (1), and a detection unit (2) and a driving mechanism (3) which are respectively connected with the control unit (1), wherein the detection unit (2) comprises a speed sensor (21), a steering wheel angel sensor (22), a front ride height sensor (23), a rear ride height sensor (24), a sunshine and rain sensor (25) and an acceleration sensor (26). The invention has the advantages of large lighting range, good lighting effect, no reflected glare, simple structure, accurate control, good environmental suitability, safety, reliability and comfortable drive.

The invention provides an automatically generating method of pinchout geological body three-dimensional complex profile, which performs virtual supplementation to missed stratigraphic data in drilling holes by starting from processing the data of the drilling holes and according to the space distribution of the data of the drilling holes. The method comprises the following steps of extracting the data of the drilling holes in the same layer according to a one-to-one corresponding rule of the stratum of the drilling holes, and combining the data into a profile line of the stratum; performing triangulation based on the upper and lower stratum points of the stratum formed by adjacent two drilling holes according to the extracted profile line of the stratum, thereby realizing three-dimensional visual expression for the stratigraphic section. According to the method provided by the invention, the automatic drawing problem of complex three-dimensional section is solved; the workload for hand drawing geological profile can be greatly reduced; the method is based on the stratum information of the drilling hole to identify the pinchout situation, so that the efficiency for space analysis and decision making can be improved; molding of complex geological body three-dimensional section can be adapted, and the method can be widely promoted and used in the three-dimensional geo-science modeling.

The invention discloses a multi-platform avionics big data system. The multi-platform avionics big data system comprises a data acquisition module, a data storage module, a data association analysis module and a data association analysis application module. The data acquisition module acquires a pcap data packet file from a data source 1, after acquisition and classification, the pcap data packet file is sent to the data storage module, and the data storage process is completed; the data association analysis module acquires training data from a data source 2, and establishes a data association model, and provides the data association model for the data association analysis application module for use, real-time prediction is completed, the result is displayed on the screen, and the data association analysis application module completes a real-time storage function by means of a cloud storage function implemented by the data storage module. In addition, the invention also discloses an implementing method for the multi-platform avionics big data system. The multi-platform avionics big data system is integrated with functions of data acquisition, data classified management, data storage, data analysis and the like, multi-source heterogeneous data is acquired and managed in a classified manner, and is stored to a resource cloud platform in real time, and the data real-time performance is guaranteed.

The invention discloses an access control system and an access control method of the fine-grained privacy security. The access control system of the social networking service fine-grained privacy security comprises a strategy management module, a social networking service group control module, a request processing module, an access control module, an optimizing module and an execution module. The strategy management module is used for maintaining and combining access control strategies; the social networking service group control module is used for maintaining all attribute sets; the request processing module is used for verifying identification; the access control module is used for carrying out the decision for the access request to obtain a decision result; the optimizing module is used for carrying out the exclusiveness processing on the decision result; the execution module is used for executing the decision result. The access control system is used for controlling the security of data flow in the social networking service, a more fine-grained access control mechanism is provided for a user, the user privacy can be protected, and the application requirement of the social networking service can be met.

The invention discloses a mixed multiattribute group decision making method for network frame reconstruction scheme evaluation. The mixed multiattribute group decision making method comprises the steps that the quantitative attribute and the qualitative attribute of each subsystem in power system subareas are determined, a decision matrix is built, and the object weight of the attributes is determined according to the decision matrix; different decision makers in the group decision making process judge the relative importance of the attributes by using a pairwise comparison matrix or a fuzzy complementary judgment matrix respectively, the subjective weight is obtained, the subjective weight and the objective weight are combined to form a combination weight, a network frame reconstruction scheme is evaluated based on the combination weight and the decision matrix, and an optimal scheme and an alternative scheme are obtained. The method has the advantages that certain variables incapable of being given precisely and variables incapable of being precisely quantized in the restoring process are fully considered, the reliability and flexibility of the decision are improved, and restoring delay or even restoring failures caused by immature quantification methods and attribute precision are avoided.

The invention discloses an alarm information decision-making method, an alarm information decision-making device, computer equipment and a storage medium. The method comprises the following steps of obtaining historical data which comprises historical alarm information and historical decision records from a knowledge base of a big data system, and constructing an information feature vector corresponding to the historical alarm information according to the historical alarm information, processing the information feature vector by using a decision tree algorithm, and training a decision tree bytaking the information feature vector as training data to obtain a trained decision tree. And acquiring real-time alarm information generated by the big data system, performing similarity calculationon the real-time alarm information by using a classification algorithm, and inputting historical alarm information with the highest similarity with the real-time alarm information into the trained decision tree for decision to obtain a decision result of the real-time alarm information. According to the embodiment of the invention, the real-time alarm information generated by the big data system can be automatically analyzed and decided. The decision-making efficiency of an enterprise for deciding the alarm information of the service system is improved.

The invention relates to an emergency decision-making method of an emergency based on scenario analysis. The purpose of the invention is to solve the problem that the existing emergency response mechanism is unreasonable, Emergency management personnel directly relying on experience or using artificial neural network to carry out emergency decision-making methods cannot shorten the response time,which is not in line with the actual situation, resulting in low efficiency and low accuracy of emergency management. A method for emergency decision-making based on scenario analysis includes the following steps: step 1, constructing a basic scenario database; step 2, extracting feature element knowledge elements of that target scenario from the target scenario, input the feature element knowledge elements of the target scenario into a basic scenario database for searching and matching, and obtaining a corresponding emergency decision scheme; The invention belongs to the field of emergency traffic management.

The invention discloses a method and system for joint optimization scheduling of flood prevention, waterlogging drainage and running water of plain city river network. The method comprises the following steps: S1, judging whether a warning water level is exceeded or not according to a real-time river network water level and 24-hour weather forecast; S2, automatically selecting a scheduling targetand a corresponding scheduling scheme library according to a judgment result; S3, judging a waterlogging level or a water shortage level according to the judgment result, and selecting a correspondingconstraint condition; S4, Using the water quantity-water quality model to solve the scheduling scheme library based on different constraints, and obtain the optimal scheduling scheme. The urban rivernetwork water level can be monitored in real time; The water level amplitude of the river network is measured and calculated in combination with 24-hour weather forecast, on this basis, different waterlogging levels and different drought levels are dispatched differently, meanwhile, the requirements for water resource optimization dispatching and water environment improvement of the urban river network can be met, and the urban water safety level and decision-making efficiency are improved.

The invention proposes a fuzzy synthetic evaluation method for the urban natural hazard grade. Aiming at multi-disaster targets, the method comprises the steps: giving evaluation criteria according to the law of fuzzy relation and expert advices; carrying out the quantification and synthetic evaluation of fuzzy factors reflecting natural disaster risks; building a membership function through the construction of a grade fuzzy subset; proposing the fuzzy synthetic evaluation method for the urban natural hazard grade; and evaluating the urban natural hazard grade. The method gives full consideration to a plurality of influence factors of natural disasters, and solves a difficulty of hazard grade division caused by fuzzy concept medium transition, and greatly improves the decision-making efficiency.

The invention discloses a building fire situation assessment and personnel evacuating indication method and system. The building fire situation assessment and personnel evacuating indication method includes steps: monitoring fire information timely and calculating fire source position information, fire source intensity information and fire development situation information according to the fire information; estimating personnel position information in all areas in a building and personnel density distribution in all the areas; and calculating a best evacuating direction and a best evacuating path according to the fire source position information, the fire source intensity information, the fire development situation information, the personnel position information and the personnel density distribution information in all the areas in the building and the building structure information. By adopting the building fire situation assessment and personnel evacuating indication method and system, a practicable solution is provided for personnel evacuating based on disaster development situation in the building by sufficiently using the modern techniques such as sensing, communication, calculating and decision making, and decision making and evacuating efficiencies are improved.

The invention discloses a gravity search optimizing method of hydro-thermal power system multi-target peak modulation, and relates to the technical field of power system modulation. According to the method, a hydro-thermal power system multi-target peak modulation model is built firstly, the model is a target function with multiple constraint conditions, then optimization solution is carried out on the multi-target peak modulation model through a multi-target gravity search algorithm based on the Pareto optimization theory, a non-inferiority scheme set of target peak modulation of a hydro-thermal power system is obtained, and an optimized solution set achieving the two purposes of minimum system operation expenses and maximum hydropower modulation amount is obtained to be selected by a modulation decision-marking department.

The invention relates to an emergency management system and an emergency management method for public emergencies. The method comprises that: a user inputs an emergency type by an emergency management user interface and transmits a recommendation request; a recommendation engine recommends emergency response plans and information related to the emergency type in a selectable plan library of a resource management controller according to the input emergency type and the recommendation request; the user selects a proper emergency response plan by the emergency management user interface and configures tasks in the proper emergency response plan to generate a disposal scheme; a validator validates the disposal scheme according to preset validation rules; if the disposal scheme does not meet the preset validation rules, the recommendation engine informs the user of modifying the configuration of the tasks; and if the disposal scheme meets the preset validation rules, an emergency response plan execution engine executes the disposal scheme and transmits task instructions to each emergency service. The system and the method improve the decision-making efficiency of the user, and the emergency response capacity, flexibility and support capacity of the system.

The invention relates to an informatization management system and method for gravel aggregate production, and belong to the field of automatic production control. The problems that an existing sandstone aggregate production enterprise lags in the production control technology and is high in production management cost are solved. The system provided by the invention comprises a gravel aggregate production and manufacturing execution system (01), a gravel aggregate production automatic control system (02), an industrial Ethernet network system (03), an industrial monitoring system (04), a dispatching and broadcasting system (05) and a production control center (06). According to the invention, by means of the system, the requirement for on-site workers is greatly reduced through centralizedcontrol and state monitoring; through the application of an automation, informatization and Internet of Things remote monitoring system, the system improves the management level and decision-making efficiency, and reduced the investment of production cost.

The invention discloses an urban indoor and outdoor integration three-dimensional scene construction and space adaptive navigation method, which comprises the following steps: on the basis of ALS (Approach and Landing Simulator) point cloud data, constructing an urban space model; creating an indoor three-dimensional scene system and a texture database; carrying out indoor and outdoor integration scene construction and model structure optimization: carrying out three-dimensional model and information integration based on Google Earth and SketchUP platforms; selecting a QR (Quick Response) Code two-dimensional code to design an anchor point; constructing an anchor point-user distance model; and carrying out adaptive indoor and outdoor positioning switching. The method has the advantages that an urban indoor and outdoor integration model is constructed by the ALS cloud point data, an accurate indoor and outdoor space scene is constructed and integrated on the Google Earth platform by a modeling system, WiFi and a two-dimensional code technology are combined to develop an indoor and outdoor space adaptive navigation service, the construction of the urban indoor and outdoor integration three-dimensional scene model and indoor and outdoor real-time positioning are realized, positioning accuracy is high, and space positioning information is provided.

The invention relates to an electric power key indicator abnormity rapid detecting method and device. The method comprises the steps of collecting some KPI (Key Performance Indicator) data on each detection point of a power grid to form a sequence composed of a group of KPI data; performing normalization processing on the upper limit value and lower limit value of the KPI data collected at each detection point; displaying the upper limit value and the lower limit value which are subjected to normalization processing in polar coordinates at the same time; respectively displaying the upper limit value and the lower limit value of the KPI data collected at each detection point, which are subjected to normalization processing, on the peripheries of concentric circles; when the polar coordinate values of the KPI data of the detection points are displayed on an annular belt between an inner circle and an outer circle, the KPI data are taken as normal data and are displayed in data points; the KPI data of the detection points of which the polar coordinate values are displayed outside the annular belt are taken as abnormal data; displaying numerical values and equipment information at the points corresponding to the abnormal data. According to the method, a dispatcher can rapidly master the running state of the power grid, deals with the abnormity in time, and does not need to pay attention to a great amount of normal data, and the power generation adjustment decision-making efficiency of the dispatcher is effectively improved.

The invention discloses a case-based reasoning-based lake and reservoir water bloom control complex dynamic correlation model and decision making method and belongs to the environmental engineering technical field. According to the method of the invention, based on case-based reasoning, the architecture framework of a case-based reasoning-based lake and reservoir water bloom decision making system is provided according to a 4R model; a water bloom body is constructed with the protege tool so as to be adopted as the base of case representation; a case library is built; case retrieval is divided into case reasoning and into matching; preliminary screening and case matching are completed, a matched case is obtained; and after being adjusted by domain experts, the matched case is applied to a target case and is saved to the case library. With the method of the invention adopted, the thinking process of expert experience can be imitated, artificial intelligent decision making can be carried out, and therefore, a decision making result more accords with actual lake and reservoir water bloom control situations, the accuracy and reliability of the decision making result can be obviously improved; and decision making efficiency can be improved, and decision making time can be shortened.

The invention discloses a building design method based on BIM (building information modeling). Intelligent design of construction is realized through steps of data acquisition, parametric design, collision check, model optimization, simulated construction, model modification and the like; compared with the traditional building design method, mistaken and omitted drawings are reduced, drawing scalemore approaches reality data, cooperative work is performed, repeated work is reduced, collaboration ability of a team is improved, information transfer and distribution efficiency is increased, anddata sources of economic management and risk management are collected more efficiently; with adoption of a centralized information processing method, an analysis process of management is precise, anddecision making efficiency is increased.

The invention discloses a Web service combination method. According to the method, aiming at the problems of long time consumption, poor flexibility and the like of the traditional service combination method, the Agent technology, the game theory and a reinforcement learning method are introduced into a service combination process which is converted into Markov Games or Stochastic Games. On the basis, a Q-learning method and a Team Markov Game theory are further blended in, so that the method can be suitable for a multi-Agent cooperative learning environment, and a final service combination result is obtained through an iteration solution mode. The Web service combination method has the advantages that the solution speed can be increased effectively, the Agents can adapt to the environment autonomously and perform dynamic service combination during efficient cooperation, and the flexibility and self-adaption of service combination are improved effectively.

The invention provides a method and device for determining user attribute information. The method comprises the steps of carrying out training and learning based on a training feature vector, thereby obtaining a corresponding user attribute model; determining a corresponding device application feature vector according to device application using information; and inputting the device application feature vector into the user attribute model, thereby obtaining the user attribute information of a user corresponding to the device application using information. The invention also provides a method and device for determining the user attribute model. According to the methods and the devices, a user basic attribute is predicted based on device information, the dependence of information acquisition on a channel is reduced, and the prediction accuracy and efficiency are improved through adoption of a stack network structure.

The invention discloses a single-pilot driving system and a control method. The system comprises an onboard pilot system, a cockpit automation system and a ground operator system, wherein a single pilot on an airplane drives the airplane according to a flight plan and monitors a flight path and a deviation condition in real time; the cockpit automation system is responsible for flight informationmonitoring and flight system management; meanwhile, the real-time perception and task allocation of the captain capability state are completed through a cognitive man-machine interface and a functionallocation intelligent subsystem, a ground operator system is in real-time communication with the aircraft through a data link, and an operator can complete monitoring alarm or remote control assistance work according to different driving modes. Meanwhile, a single-pilot driving mode organization operation mode is provided for four different scenes. According to the invention, the number of pilotsis reduced and the operation economy is improved under the condition of meeting the current double-passenger driving mode function and safety condition, and the operation economical performance is improved; the cockpit resource allocation requirement is reduced, the cockpit space is reduced, and the airplane weight is reduced; the decision conflicts of multi-passenger driving of a commercial aircraft are eliminated, decision efficiency is improved, and response time is shortened.

The invention relates to a distributed platform resource scheduling method for mixed formation of a plurality of manned aerial vehicles and a plurality of unmanned aerial vehicles. The distributed platform resource scheduling method mainly comprises the following steps that a measurement model is constructed, and a measurement method of important parameters is determined; an optimization target isdetermined, a resource scheduling constraint condition is set, and a scheduling model for a single decision system is constructed to process a single task; the scheduling model is solved to obtain anoptimal solution and an objective function value to obtain a resource scheduling scheme for a plurality of tasks of a single manned aerial vehicle decision-making entity; a shareable platform of various manned aerial vehicle decision-making entities and price thereof are updated; an existing shareable platform is used for performing resource matching optimizing on the tasks to be processed; matching of platform resources is carried out; in the resource distributed scheduling process of the mixed formation of the manned aerial vehicles and the unmanned aerial vehicles, parallel task planning and intelligent negotiation of the manned aerial vehicle decision-making entities are realized, and unmanned aerial vehicle platform resources are shared to process the tasks which cannot be processedby the single mixed formation of the manned aerial vehicles and the unmanned aerial vehicles, so that the manned aerial vehicle decision-making entities can automatically output the optimal resource scheduling scheme.

The invention establishes an intelligent evaluation algorithm system based on collateral big data. A value evaluation process uses two networks. A first network is used for determining an evaluation algorithm the most suitable for the collateral and increasing the evaluation weight of the algorithm. The second network is used for collecting user feedback information. Whatever correct evaluation, deviated evaluation, or erroneous evaluation, on the one hand, a computer automatically analyzes and records the evaluations, and on the other hand, a worker participates to help the computer correct the deviation or the error, which is similar to a deviation or error memory stick, and all evaluations are fed back to the first network. Two networks continuously and cyclically operate, learn the correctness and the wrongness, form experience after long-time accumulation, perform continuous improvement, and increasingly improve the accuracy rate in order to achieve automatic batch precise evaluation, and achieve risk analysis based on the precise evaluation.

The invention discloses a decentralized autonomous decision-making method for an unmanned aerial vehicle swarm network, and the method provides a decision-making and cooperative decision-making mechanism of a single unmanned aerial vehicle, and improves the decision-making efficiency. An intelligent contract for an unmanned aerial vehicle task is used, the attack execution speed of an unmanned aerial vehicle swarm is increased, the accuracy of obtaining other node information and attack target information by the unmanned aerial vehicle swarm can be ensured, and the mechanism uses a block consistent swarm consensus algorithm and an intelligent behavior contract to cooperatively carry out unmanned aerial vehicle autonomous decision making. The block consistent bee colony consensus algorithmis based on several advantages of a block chain technology, and can better solve the problems of data management and information communication and combat between unmanned aerial vehicles; according tothe autonomous decision based on the intelligent contract, the unmanned aerial vehicle can independently execute the task and does not need too many cooperation requirements, the unmanned aerial vehicle swarm can judge whether the request is passed or not by using the intelligent contract for the task without waiting for confirmation of all people, and the task execution efficiency of the unmanned aerial vehicle swarm is improved to the maximum extent.

The invention discloses an air-space-ground integrated road earthwork construction intelligent dispatching and commanding system and method, and belongs to the field of earthwork engineering construction. According to the method, unmanned aerial vehicle scanning three-dimensional modeling is carried out after a Beidou satellite and an unmanned aerial vehicle position punctuation, on the basis of earth volume automatic measurement, air, sky and ground base stations are matched, the field mechanical position is mastered in real time, a scheduling optimization principle and a construction schemeautomatic generation technology are utilized, a scheduling scheme of the road construction machinery is generated and optimized according to the established optimization rule base model, the scheduling scheme is summarized to an on-site mobile command vehicle center for real-time on-site management and scheduling, personalized information is generated, the personalized information is sent to eachmachinery terminal for command operation through an on-site communication command function, a complete integrated mobile intelligent command and dispatch center is established, and therefore the technical problems that in the road construction process, long-time manual calculation is needed for mechanical and other resource dispatch, the updating period is long, and the overall response speed fordynamic change is low are solved.