64results about How to "Decision science" patented technology

The invention discloses a multi-model meta-synthesis flood forecasting system which comprises a data integration module, component integration module, model integration module, scheme integration module and a result publishing module, wherein the data integration module, the component integration module, the model integration module, the scheme integration module and the result publishing module are sequentially connected. The invention also discloses a method for flood forecast by utilizing the multi-model meta-synthesis flood forecasting system, comprising the following steps of unifiedly treating historical or real-time hydrological data through the data integration to enable the hydrological data to accord with the use specifications and the requirements of the component integration; packaging each set of obtained data into a plurality of components according to the needs of a constructed framework; obtaining a plurality of flood forecasting models by respectively setting up the plurality of components on the basis of the structure requirements of the models and obtaining corresponding flood forecasting results; obtaining a final forecasting result and a final forecasting scheme by treating the plurality of flood forecasting results in a unified way; and publishing the final result. The method realizes rapid setting up of various flood forecasting models and can provide a plurality of schemes and scheme optimizations.

The disclosure relates to a goods management method, device and system. The goods management system comprises a human body induction device, a goods cabinet, a goods identity recognition device, a payment device and a central controller, wherein the human body induction device is arranged in a shopping zone and is used for determining whether any user is in the shopping zone, the goods cabinet is arranged in the shopping zone and is used for displaying and selling goods, the good identity recognition device is used for identifying goods being sold, and the payment device is used for the user to make payments; the central controller is used for managing and controlling the human body induction device, the goods cabinet, the goods identity recognition device and the payment device that are all connected with the central controller. Via use of the goods management method, device and system, convenient unmanned self-help shopping can be realized.

The invention relates to a power marketing multi-business system data center construction method and belongs to the electric power marketing field. At present, marketing data are distributed in different business application systems, and are poorly correlated with each other, and the application of the marketing data to business analysis is inefficient and not intelligent. The power marketing multi-business system data center construction method of the invention includes the following steps that: 1) the master data of marketing are refined and designed based on a marketing CIM and standard design of various business systems of the marketing, and a marketing affair type data model is designed according to the subject domains and classifications of the data; 2) marketing basic platforms are established, wherein the marketing basic platforms include a marketing basic data platform at a headquarter and marketing basic data platforms in various provinces and cities; and 3) the data are connected into the marketing basic data platforms. With the power marketing multi-business system data center construction method provided by the technical schemes of the invention, internal and external data sharing services can be provided, and an interaction platform can be provided for data sharing between the business systems.

The disclosed multimedia business (MMB) system comprises: a server transmitting the display command for video; a MM service device browsing MM menu, capturing the control command and displaying the stored video; and a wireless controller for controlling the display. This invention improves service quality, adds new profit increasing point, and has wide application.

The invention provides a marketing activity management system and a management analysis method thereof. The system comprises a terminal device, a management end module, a data processing module and adatabase. The terminal equipment and the management end module are connected with the data processing module. The database is used for storing the backup data of the terminal equipment, the managementend module and the data processing module. The method comprises the following steps: S1, customizing an activity flow; 2, generate an active label; 3. Bury point of offline equipment; S4. data processing; S5. marketing effect analysis; in step S4, step S4 is included. 1. process tracking, S4-2. data Acquisition, S4 3. data cleaning and S4-4. data storage. The system and the method can plan or participate in activities for each end user, so that non-professional marketers can plan and monitor marketing activities, and realize accurate marketing, and the system and the method have strong universality. And the system has a management module, which can provide real-time and accurate data to managers, so that they can make scientific decisions according to the data.

The invention discloses a multilayer forest fire prevention center. The multilayer forest fire prevention center comprises an alarm, multiple bottom-layer monitoring centers, a remote monitoring system, a top-layer monitoring center and multiple intermediate-layer monitoring centers, wherein the top-layer monitoring center is provided with a top-layer alarm server, a cascade server and a top-layer network switch cabinet which are successively interconnected; the intermediate-layer monitoring centers comprise intermediate-layer alarm servers and intermediate-layer network switches; the intermediate-layer alarm servers are connected with the intermediate-layer network switches; the intermediate-layer network switches are interconnected with the top-layer network switch cabinet; the bottom-layer monitoring centers comprise video control servers, bottom-layer alarm servers and bottom-layer network switches; the remote monitoring system is connected with the bottom-layer network switches through a network; the bottom-layer network switches, the video control servers and the bottom-layer alarm servers are successively interconnected; the alarm is connected with the bottom-layer alarm servers; and the bottom-layer network switches are in redundancy connection with the intermediate-layer network switches. The multilayer forest fire prevention center has the advantages of scientific decision-making, high response capability and high operation efficiency.

The invention discloses an operation supervisory system for a railway station. The operation supervisory system comprises a server and a terminal which are connected, wherein a database is arranged in the server; the database of the server is responsible for storing various kinds of equipment state information and historical operation data of the whole station yard in real time; the terminal comprises a control side and client sides; a control computer is arranged in the control side; an operation computer is arranged in each client side; and the database is used for connecting stored data with the control computer in the control side and the operation computers in the client sides by virtue of a TCP/IP (transmission control protocol / internet protocol) local area network. A normal receiving-departure control module, an improper receiving-departure control module and a video monitoring management module are connected on the database of the server; and the client sides comprise a first client side, a second client side, a third client side and a fourth client side.

The invention discloses a relevant prediction system for the colorectal cancer. The relevant prediction system comprises a collection unit, an analysis unit and a processing unit, wherein the collection unit is used for collecting and storing the faeces of relevant personnel, and the faeces can be called a faeces specimen; the analysis unit is used for analyzing the faeces to obtain an analysis sample, wherein the analysis sample comprises one or multiple of microorganism information and microorganism metabolite information; and the processing unit is used for constructing a prediction model according to the analysis sample and a machine learning model and obtaining a prediction result according to a target sample and the prediction model, wherein the target sample is a sample obtained byanalyzing the faeces of the relevant personnel. The invention also discloses electronic equipment and a computer storage medium. By use of the invention, through faeces analysis, relevant predictionsof the colorectal cancer can be obtained.

The invention discloses an improved optimization method, which comprises the following steps: carrying out front-end processing through a multi-attribute utility analysis method to obtain basic conditions meeting a steepest descent method, and after the front-end processing, for the situation of weight combination of different influence factors, enabling each highest total utility value ui to correspond to a corresponding alternative scheme Pi; Establishing a steepest descent method optimization model for selecting an optimal scheme from the plurality of alternative schemes Pi; And carrying out tail end data processing of the multi-attribute utility analysis method through the optimization model, thereby obtaining an optimal result (P-optimization, u-optimization). According to the method,a steepest descent method is adopted to process maximum utility values under different influence factors, and weights of the different influence factors are considered at the same time, so that an optimal result is obtained, and decision making is more scientific.

The invention discloses a college student behavior analysis system and method based on WiFi positioning data. The system comprises a data layer, a calculation layer and a business display layer. The data layer comprises a data cleaning module, a data storage module and a data mapping module, and the data layer further provides an interface for acquiring data for the calculation layer; the calculation layer comprises a hot spot region extraction module, a segmented track migration analysis module and a student behavior similarity analysis module; the calculation layer provides data conversion and mapping, and performs data analysis by using different algorithms according to different requirements; and the business display layer performs visual display on a result obtained by analysis of the calculation layer. According to the invention, by establishing a student behavior data analysis model based on positioning information, internal association among student behaviors, academic records, psychology and the like is found, relationships hidden in data are mined, school managers are helped to carry out accurate tracking service on student learning conditions, and construction of smart schools is further promoted.

The invention discloses a financial reconciliation service implementation method based on an SaaS mode, belongs to the technical field of the Internet. The method adopts a double-signature mode of bank side signature and cloud accounting server side signature, user access authorization is realized by adopting an OAuth2 authorization code authorization mode, and cloud accounting bank-enterprise account checking is realized through cloud accounting server side application. According to the invention, bank-enterprise synchronization and scientific decision-making can be realized while the security of enterprise bank data is ensured, a user only needs to check the account balance and details in real time through cloud accounting product authorization, the change condition of account funds is reflected in real time, and enterprise financial monitoring and decision-making are facilitated; seamless connection between enterprise finance and enterprise bank flow is realized automatically, intelligently and efficiently, an enterprise can acquire bank data information quickly and conveniently, and the financial operation cost of the enterprise is greatly reduced.

The invention discloses a method for judicial early warning supervision, which comprises the following steps of: configuring an early warning rule, and generating a judicial early warning rule base; and obtaining judicial data, carrying out early warning supervision on the judicial data according to an early warning rule of a judicial early warning rule base, generating early warning information and outputting the early warning information. According to the method provided by the invention, early warning and supervision of the judicial system can be realized, so that scientific decision makingis realized.