227results about How to "Improve decision-making" patented technology

The invention discloses a data sharing exchange system and method based on a block chain. The system comprises a data sharing exchange center, a front-end system and a block chain basic platform. Thedata sharing exchange center comprises a data sharing exchange control system, a data resource center and a client; The front-end system comprises a data acquisition system, a shared exchange module and a feedback module; The block chain basic platform comprises an alliance chain module and a data sharing exchange management module, the alliance chain module is responsible for intelligent contractand verifying credibility configuration of nodes, the intelligent contract generated in the data sharing exchange process is verified, and the data sharing exchange center communicates with the front-end systems in an alliance chain mode. According to the invention, the credit problem and the incentive problem of data sharing exchange in a multi-party participation environment are solved, the security and the reliability are ensured, the enthusiasm of a user for publishing and updating the sharing exchange data is promoted, and meanwhile, the guiding effect on user decision can be realized.

Techniques for delivering medical care include receiving normal data that indicates normal conditions in a patient. Abnormality data is received and indicates an abnormal condition, if any, in a patient. An instance of a virtual patient is generated based on the normal data and the abnormality data. The instance includes a physiological component that describes a sufficiently comprehensive physical state of a patient having the abnormal condition to simulate clinical measurements of the patient's condition. The instance also includes a cognitive component that describes a patient's awareness of symptoms, history of behavior and ability to convey information in response to queries. Action data is received from a trainee. Response data is generated based on the action data and the instance. Display data is presented based on the response data, and indicates information about the instance available as a result of the requested action.

The invention provides a decision-making system and method for heavy metal pollution of farmland soil. The method is based on monitoring data of heavy metal pollution of farmland soil in a monitoringarea, constructs a farmland soil heavy metal pollution risk comprehensive assessment index system, a graded early warning model, an emergency disposal model and a crop planting adjustment model to assess the risk of heavy metal pollution in the farmland soil and quickly make an emergency response, and at the same time, can also adjust the planting structure of crops in a heavily polluted area. Thesystem includes data collection, data management, risk assessment, graded early warning, emergency disposal, planting adjustment and information visualization modules which are used for monitoring, assessing and responding quickly to heavy metal pollution in the farmland soil. The decision-making system and method for the heavy metal pollution in the farmland soil according to the invention can significantly improve the automation and intelligence levels of management decision making of the heavy metal pollution in the farmland soil.

The invention discloses a rice leaf blast detection and classification method based on the multi-spectral image processing. A visible / near infrared multi-spectra camera is used for real-timely collecting monochromatic gray images of three waveband channels of green light wavebands, red light wavebands and near infrared wavebands, and then Matlab software is used for programming application software by an image processing method for image processing. The method comprises the removal of background, noises, interferences, and the like, and the recognition analysis of crop disease plague information, and the accurate and rapid processing of whether crops are ill and the position and the classification of disease plagues are realized. The disease recognition time of each picture is only a few seconds. The rice leaf blast detection and classification method based on the multi-spectral image processing is used for the rapid, accurate, stable, real-time and non-destructive crop leaf blast infection diagnosis and for accurately indicating the position of the disease plagues and the classification of infection grades, reducing the dosage due to the overall spraying, lowering the production cost, reducing pollution, providing data support for the variable spraying and improving the decision level of the accurate spraying. The method plays an active role in realizing the precision agriculture.

The invention discloses a robust adaptive underactuated surface ship path tracking control method based on a fuzzy unknown observer. The robust adaptive underactuated surface ship path tracking control method based on the fuzzy unknown observer comprises the following steps that an unmanned ship kinematics and dynamics model is established; a path tracking error dynamic state is built; a line-of-sight guidance law with variable speed is proposed; a fuzzy logic system is established; and a controller based on the fuzzy unknown observer is designed. In a guidance subsystem, the line-of-sight guidance law with the variable speed is proposed, the control flexibility and robustness of a guidance system are improved, and the position error is enabled to be asymptotically stabilized to zero; andin a control subsystem, the fuzzy unknown disturbance observer is designed to estimate the unknown disturbance quickly and accurately, and effective compensation is carried out on the designed speed and a heading controller, so that the tracking error between a guidance signal and actual quantity is asymptotically stabilized back to zero. The involved algorithm framework can enable a whole closed-loop system to be globally asymptotically stabilized, and the control flexibility and tracking accuracy of a path tracking control system are greatly improved.

Certain example embodiments described herein relate to security systems and / or methods for cloud computing environments. More particularly, certain example embodiments described herein relate to the negotiation and subsequent use of Trading Partner Agreements (TPAs) between partners in a Virtual Organization, the TPAs enabling resources to be shared between the partners in a secure manner. In certain example embodiments, TPAs are negotiated, an algorithm is executed to determine where an executable is to be run, the resource is transferred to the location where it is to be run, and it is executed—with the TPAs collectively defining a security policy that constrains how and where it can be executed, the resources it can use, etc. The executable may be transferred to a location in a multipart (e.g., SMIME) message, along with header information and rights associated with the executable.

The invention discloses a generation plan optimizing method in an intermittent energy and conventional energy coordinated dispatching mode, belonging to the technical field of power system dispatching automation. To minimize the generation cost of the system, the coordinated dispatching of an intermittent energy unit and a conventional energy unit is comprehensively considered, and various constraint conditions are taken into consideration to optimize the generation plan of a computing group, thereby ensuring the safe access of intermittent energy such as wind power and the like, and being favorable for improving the intelligence level and decision making ability of the generation dispatching after the access of the intermittent energy. Meanwhile, the method has the characteristics of low computing strength and strong adaptability, and is more suitable for the popularization and application of the dispatching mechanisms with relatively high wind power access power in our country.

The invention discloses a day-ahead optimal scheduling method for a wind-solar storage integrated power generation system. The method comprises the following steps: acquiring various optimization data and determining the optimization space of the wind-solar storage integrated power generation system; building an optimization model taking the maximum total active power as the target according to the grid model of a practical power grid; adding the punishment quantity of the total active power output curve variation relationship to the optimization target to obtain the optimal scheduling model putting smooth power generation curve into consideration; linearizing the nonlinear factors in the model, obtaining the active power generation curve of the wind-solar storage integrated power generation system through solving by the dual simplex method, submitting the active power generation curve to a superior scheduling center; and acquiring the charge-discharge plan of an energy storage device and issuing the plan to subsystems for execution. By adopting the method provided by the invention, the power resource optimal configuration capability is greatly improved.

A simulation system (20) facilitates training for trainees (26) subject to multi-directional threats. A method for providing a scenario (211) for use in the simulation system (20) utilizes a scenario provision process (202) executable on a computing system (26). The process (202) calls for choosing a background image (234) for the scenario (211), and selecting a video clip(s) (386) of one or more actors (266) from a database (203) of video clips (386). The video clip(s) (386) are filmed using a green or blue screen technique, and include a mask portion (394) of the actor (266) and a transparent portion (396). The video clip(s) (386) are combined with the background image (234) to create the scenario (211), with the mask portion (394) forming a foreground image over the background image (234). The scenario (211) is displayed on a display of the simulation system (20).

The invention discloses a method for optimizing a power generation plan in a mode of tracing scheduling of an annual electric quantity progress. The method comprises the following steps of: firstly, calculating a currently-expected power-output plan of a machine set by taking annual progress control as a target; and secondly, optimizing and calculating the power generation plan of the machine set by taking a minimum deviation of the expected power-output plan as the target and considering all kinds of constraint conditions. A reasonable scheduling plan is made by two-stage decision links of expected plan making and optimization of a safety constraint power generation plan, the effective synchronous execution of a contract electric quantity is guaranteed, safe and fair united optimization is realized, and the intelligent level and decision making capacity of power generation scheduling can be improved conveniently. Meanwhile, the method is characterized by low calculation strength and strong adaptability and is more suitable for promotion and application in scheduling institutions at all levels in China.

The invention discloses an intelligent manufacturing special network data acquisition scheduling system. On the basis of conception of forwarding and control plane separation, a 4G special line intelligent scheduling system facing intelligent manufacturing is constructed, moreover, the system further satisfies concentrated scheduling and decentralized domain management functions, flexible network resource calling and rapid disposition capability are realized, standard northwards API interfaces are provided for the external, and concentrated management of wireless access equipment, on-demand scheduling and rapid security and other value-added service business opening are realized through SDN and NFV technologies. The system comprises five parts, including an internal network connected with manufacturing equipment in enterprises, a wireless access network based on 4G, a novel wireless access gateway connected with the internal network and an external network, a cloud platform used for carrying out concentrated network scheduling management, and various applications for intelligent manufacturing. The full-network configuration is realized through employing the cloud platform, network interconnection is realized through the novel access gateway, for network element functions, an SDN method is employed to separate a control plane from a data plane in an adaptive mode.

The invention provides a means of interacting with a subset of a large amount of related information that assists in providing a user with the overall understanding necessary to execute rapid and knowledgeable decision-making. It consists of a spreadsheet-like client application which interacts with a planning data repository (PDR) and its associated computing resources. All of the data used in computing the values shown in the spreadsheet cells are derived directly from the PDR. Any changes made by the user to the displayed data are sent to the PDR and, when validated, incorporated into the overall data following a two-step process of ‘calculate’ and ‘save’. At the user's desktop machine, the user views a window which contains information temporarily stored locally within the client computer for use by a script application. Not all of the information stored for the script application is necessarily visible on the display at any one time, and scroll bars are provided to permit the user to view information stored but not currently visible. The data shown on the client computer screen may be a representation of a planning cube (or data cube) that is a subset of the Planning Data Repository data. In a further embodiment of the invention the user is able to change the various relationships amongst the data and these alterations sent to the PDR for computation.

The invention provides a lane change decision-making method and device for an autonomous vehicle. The method includes the following steps: defining a candidate strategy set for a lane change decisionof the autonomous vehicle; and determining a reward value of each strategy in the candidate strategy set for the lane change decision of the autonomous vehicle by using an evaluation function, and selecting the strategy with the maximum reward value as the lane change decision. The technical scheme provided by the invention mainly improves the decision-making ability of the autonomous vehicle, andespecially has a good decision-making effect for complicated automobile driving scenes.

The invention, which belongs to the field of urban traffic design, particularly relates to a genetic-algorithm-optimization-based big data analysis system and method of urban regional traffic. The system is composed of an urban road network and pedestrian travel distribution analysis module, an urban road network traffic flow analysis module, an urban rail transit system analysis module, and an urban regional transportation system decision module. According to the invention, with urban road network and resident travel distribution as an object, a genetic-algorithm-based urban-road-network optimized dual-layer planning model is established by using a dual-layer planning model in a continuous network design and introducing the urban road network and resident travel distribution index into urban road network optimization; an optimal solution is calculated by using a genetic algorithm; and the decision-making configuration of the transportation system is realized based on the optimal solution. Therefore, the data analysis ability and decision-making ability of the urban regional traffic are enhanced substantially.

The invention discloses a diagnosis and treatment decision-making support system. The system includes a human-computer interaction unit, a processing unit, a decision-making support unit and a database unit, wherein the human-computer interaction unit is used for a user to exchange data with the diagnosis and treatment decision-making support system, the processing unit is connected with the human-machine interaction unit and is used for performing business and data processing, the decision-making support unit is connected with the processing unit and is used for feeding back decision-making schemes according to input data, and the database unit is used for storing medical treatment data to provide a data foundation for the decision-making support unit. The system of the invention can maximally conform to actual clinical diagnosis and treatment processes and provide full-process diagnosis and treatment decision-making services for doctors. With the diagnosis and treatment decision-making support system of the invention adopted, diagnosis and treatment schemes and suggestions can be provided for doctors; the doctors can be assisted to improve decision-making levels; the doctors canbe prompted with potential errors; diagnostic suggestions and decision-making schemes can be provided according to the disease conditions of specific patients, so that the doctors can be assisted to comprehensively understand a wide range of possibilities; the doctors can be assisted to make better decisions, so that a misdiagnosis rate can be reduced; and the system can be combined with the actual diagnosis and treatment processes, so that the actual diagnosis and treatment processes can be standardized.

An email manager for an inbox directs emails to various categories based on importance assigned by an email recipient and provides a user interface for presenting emails to the recipient in groups prioritized by importance. In one implementation importance is based on the sending source and in one implementation importance is based on content.

The invention relates to the field of smart city and big data and discloses an event driven based smart city big data system and a processing method. The big data system comprises a big data acquisition layer, a big data transmission layer, a big data storage management layer, a big data computational analysis layer and a big data application service layer. The big data acquisition layer realizes data acquisition by means of the Internet of Things technology; the big data transmission layer transmits data to the big data storage management layer; the big data storage management layer realizes storage of big data in the smart city; the big data computational analysis layer realizes processing and analysis of the big data in the smart city; the big data application service layer provides big data services for users and city managers and provides processing and analysis results obtained by a big data processing layer for the users in real time in a service manner. By the event driven based smart city big data system and the processing method, big data management and utilization modes can be improved effectively, service and decision making capacity of the smart city can be improved through big data, and smart city management and services are realized.

The invention discloses a meteorological service performance evaluation method based on a geographical information system (GIS), which is used for carrying out meteorological service performance analysis and evaluation by comprehensively utilizing a neural network method, an analytic hierarchy process, a structural equation method, a gray system method and a statistical analysis technique through using corresponding social statistics and survey data. The method is used for carrying out uniform control and management on hydrologic information, humanity information and meteorological information in a researched region by using a cartographic database and remote sensing data as basis geospatial data through using population data, casualty loss data and geographical hydrologic thematic data based on a GIS technology and a database technology by adopting a design mode of centralized management and maintenance. The invention realizes graphic and feature integrated maintenance management, comprehensive query, space analysis, thematic map, simulation analysis and meteorological service evaluation functions, improves the informatization level and the aid decision making capability of the meteorological service evaluation, and provides aid decision basis for the geographical hydrologic management and the meteorological service performance evaluation.

The invention discloses a reinforced learning knowledge graph reasoning method and device based on a graph convolutional neural network, and the method comprises the steps: representing a historical path and the multi-hop neighborhood information of an entity on the historical path based on a depth time sequence model and a graph convolutional neural network model, and the historical path and themulti-hop neighborhood information serving as the perception of an intelligent agent for the environment; on the basis of sensing the environment in each step, randomly selecting actions from selectable actions according to a strategy function, and adding a balance factor, so that an intelligent agent can automatically adjust the relationship and the importance of an entity to reasoning; giving anenvironmental feedback to the intelligent agent according to a knowledge graph representation learning algorithm with a path, and adding a soft feedback given by a knowledge graph representation learning model to the last step of reasoning; and finally, optimizing the parameters by maximizing the cumulative reward expectation, and finally obtaining an inference model. The knowledge reasoning model learned by the invention can improve the accuracy in reasoning tasks such as knowledge graph completion and the like, and has good practicability.

The invention belongs to the technical field of electric power system dispatching automation and relates to a water, fire and light combined optimization power generation scheduling optimization method considering security constraints. According to the water, fire and light combined optimization power generation scheduling optimization method, the objective of the method is to realize minimum power generation cost of a system; comprehensive considerations are given to coordinated scheduling of hydroelectric, thermal power and photovoltaic power generator sets; all kinds of constraint conditions are considered, such that optimal computation is performed power generation scheduling of the generator sets; safe access of new energy such as photovoltaic power generation power can be ensured; the improvement of intelligent level and decision making ability of power generation scheduling after the access of the new energy can be facilitated; and through interactive iteration solution of two sub-problems of optimization calculation and safety correction, the power generation scheduling of the hydroelectric, thermal power and photovoltaic power generator sets, which satisfy a requirement for network safety, can be obtained, and therefore, the performability of the power generation scheduling can be ensured. The water, fire and light combined optimization power generation scheduling optimization method considering security constraints of the invention is advantageous in low calculation strength and strong adaptability, and is more suitable for being popularized and applied to scheduling mechanisms of which photovoltaic power generation power access power is larger in China.

The invention discloses a mass multisource heterogeneous spatial information data seamless integration management method. The method comprises the steps of: building a distributed seamless integration conceptual model, and under the distributed heterogeneous spatial data seamless integration environment, using a multi-layer intelligent middleware system to build a cross-platform, exchangeable, safe and reliable spatial data management system which supports a heterogeneous database, the distributed computation and the cooperative services. According to the method provided by the invention, normalized sharing and low-level integration of the geographic information resource are realized, the data utilization rate is increased, and further the information timeliness and the working efficiency are improved.

The invention discloses an urban and rural overall planning water supply pipe network hydraulic water quality simulation platform, and belongs to the technical field of pipe network operation monitoring intelligence, and comprises an online alarm early warning module, an optimal scheduling management module, an accident emergency disposal module, a leakage monitoring alarm module and a system configuration module. The on-line alarm early warning module monitors the hydraulic condition and the water quality condition at the current moment on line through the system and predicts the hydraulic and water quality trend in the future 24 hours. The optimization scheduling management module comprises three parts of hydraulic optimization scheduling management, water quality optimization schedulingmanagement and a scheduling expert database. The leakage monitoring and alarming module simulates the influence caused by an accident point and the range of an affected area through the operation online model, and the model is used for making various water plant pump station scheduling schemes. Research and analysis of various plans are provided for a decision maker to simulate a decision processand a scheme environment, and meanwhile various information sources and analysis tools are accessed to help the decision maker improve the decision level and quality.

The invention relates to a data table source-tracing method and device based on consanguinity analysis. The method includes the steps of S1, configuring the mapping relation conversion mode of a data table which needs source tracing; S2, making conversion rules according to the mapping relation conversion mode configured in S1; S3, building a mapping relation table according to the mapping relation conversion mode configure in S1 and the conversion rules made in S2; S4, tracing the source of the target data table according to the mapping relation table. The device comprises a mode configuring module, a rule making module, a mapping relation table building module and a source tracing module. The data table source-tracing method and device based on the consanguinity analysis has the advantages that the method can effectively trace the sources of data tables which belong to various different types of data sources, visually position the attribution of the data tables and fine data quality problems through the positioning; the method and device can efficiently and fast position data problems.

The invention relates to a geological logging interpretation and evaluation method for oil drilling exploration. The method is based on wellbore information and collects drilling time, oil and gas characteristics of rock samples, fluorescence characteristics, gas measurement parameters, mud tank surface conditions, storage 20 parameters of 6 categories of layer electrical measurement parameters are stored in the corresponding table, and then the scoring method is used to assign specific points to each parameter item; geological analysis experts make interpretation and evaluation conclusions based on the above parameter information to guide on-site personnel to judge the underground The properties of the reservoir fluid can achieve the goal of protecting oil and gas layers and safe drilling, and provide accurate and reliable geological parameters in time to provide a basis for the next step of work measures or construction plan formulation. The geological interpretation and evaluation method provided by the present invention analyzes and defines the parameters reflecting reservoir characteristics and fluid properties, so that qualitative data can be transformed into quantitative or semi-quantitative interpretation, and from a single evaluation to a comprehensive analysis and evaluation of multiple parameters, which can make Reservoir interpretation and evaluation results or conclusions are more scientific and rational.

The invention provides an electrical energy quality centralized monitoring and auxiliary management decision support system, which comprises a data layer, a site layer and an application layer, wherein the data layer and the site layer perform signal transmission mutually, and the application layer performs the signal transmission with the data layer. The electrical energy quality centralized monitoring and auxiliary management decision support system adopts targeted management measures and technical measures; by the system, the electrical energy quality management and the planning, design and construction and transform of an electric distribution network are fully operated, and power service level and power service quality are effectively improved.

The invention discloses a method for grid and province two-stage real-time generation schedule coordinative optimization under a generalized tie line mode. The method is characterized by comprising the following steps that firstly, province scheduling generalized tie line plans are obtained through calculation; secondly, a grid scheduling department issues all the province scheduling generalized tie line plans to corresponding province scheduling departments, and the grid scheduling department obtains a generalized tie line plan of each grid scheduling side directly under the province scheduling through calculation; thirdly, sensitivity information is calculated; fourthly, all kinds of information are read; fifthly, the generalized tie line soft constraint of the corresponding province is added, soft constraint cost is added to a conventional optimization object at the same time, then a province-stage power grid mathematic model is formed, the generalized tie line soft constraint of each grid scheduling side directly under the province scheduling is added, soft constraint cost is added to the conventional optimization target at the same time, then a first area power grid mathematic model is formed, the whole-grid grid scheduling side generalized tie line constraint is added on the basis of the first mathematic model, and a second area power grid mathematic model is formed; sixthly, optimization calculation is started. The method for grid and province two-stage real-time generation schedule coordinative optimization under the generalized tie line mode has the advantages that calculation intensity is low and adaptability is high and is suitable for popularization and application in China scheduling mechanisms of all scales.

The invention discloses a forest fire alarming method based on fire danger rating forecast. According to the forest fire alarming method, first-level data collection and fusion node clusters, second-level fire danger information collection and broadcast node clusters, third-level auxiliary positioning node clusters, a communication gateway, a database, a GIS (geographic information system) monitoring control platform and a firefighting helmet are arranged, wherein the first-level data collection and fusion node clusters, the second-level fire danger information collection and broadcast node clusters and the third-level auxiliary positioning node clusters are connected with the database and the GIS monitoring control platform via the communication gateway, and the firefighting helmet is provided with a positioning structure and a communication structure. The forest fire alarming method has the advantages that a system is simple in structure, convenient to use and lower in system energy consumption; fire source position information can be judged precisely, a fire danger forecasting function can be strengthened, decision-making ability and scheduling efficiency of a firefighting commander can be improved effectively by the aid of the firefighting helmet, and the forest fire alarming method is high in applicability and practicability.

A coupon fabrication with defined distortion in the form of marceled fibers and test protocol is employed to determine the shape of the failure probability density curve to improve the analyses of the risk of fiber distortion anomalies in composite structures. This protocol provides a method to determine the probability of and the severity of the various distorted fiber conditions that might exist on composite structure in fabrication and in service. A distortion characterization matrix is established for determining test shapes and providing defect characterization based on the results of tests on the selected shapes. Coupons for test are created using resin pool

The invention relates to a strategy generation method under non-complete information gaming. The method comprises following specific steps: the opponent behavior modeling step that, before gaming is performed, according to a specific rule of the gaming, modeling for each behavior of an opponent is performed; the behavior collection and information prediction step that, in the gaming process, information of each action of the opponent is recorded, and the information is converted into probability distribution of opponent information through a model; the win rate calculation step which is performed according to a prediction and that, according to the probability distribution, a simulation is performed through a monte carlo method to obtain an own win rate; and the step that an expect benefit of each behavior is calculated according to the win rate finally, and the haviro having the highest expect benefit is selected to be taken as a final decision. A new thought is provided for the non-complete information gaming, the method has the advantages of clear logic, simple implementation and accurate calculations of the opponent information and the win rate, the decision-making capability in specific situation can be improved, a decision benefit is maximized, and then industrial production efficiency is improved.

The invention discloses an operational use time recorder of a general machine tool. The machine tool current is input to a control module through a data regulation acquisition module after a sensor senses the change of the machine tool current; the operating state of the machine tool is judged by the control module to obtain the operational use time, the standby time, the power-on time and the power-off time of the machine tool which are displayed by a display module and are transmitted to an upper computer by a data transmission module; a perpetual calendar module provides the operating time standard for the control module; and a watch dog module leads the control module to normally operate once again when a system is in error. The effective operating time recorder of the invention can sense the changes of the operating state of the general machine tools and the large-scale machine tools, can distinguish the different states, such as machine tool halt, standby or effective operation and the like, and record the operational use time and the standby time of the machine tool.