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

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 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 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 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 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 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.