64results about How to "Decision science" patented technology

The invention discloses a preventative device maintenance method based on dynamic reliability and belongs to the technical field of petrochemical equipment management. The preventative device maintenance method based on the dynamic reliability comprises the following steps of 1 establishing a device basic database including equipment accounts, historical maintenance and repair data, a fault strength analysis data, operation monitoring data and the like; 2 utilizing basic data to conduct operation time analysis, fault strength analysis and alarm state and operation trend analysis on devices; 3 utilizing results to establish a device reliability level and fault strength incidence matrix, formulate DRBPM data analysis logic, automatically screen preventative maintenance devices and generate preventative maintenance planning reports of the devices; 4 examining, verifying and executing the preventative maintenance planning reports of the devices. The preventative device maintenance method based on the dynamic reliability can be used for dynamic analysis and management of states of petrochemical equipment, facilitate formulation of scientific and effective device maintenance measures and provide guarantee for timely device fault elimination and production continuity reliability and can be widely applied to the technical field of petrochemical equipment management.

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 provides an investment effect evaluation method for county power distribution networks, which comprises the following evaluation steps: (1) establishing an index evaluation system and determining evaluation indexes; (2) determining an index evaluation function, and determining the threshold value of each index according to index data statistics; (3) acquiring fundamental data of a power distribution network correlated with evaluation indexes of an area to be evaluated, and verifying the integrity and validity of the fundamental data; (4) normalizing the evaluation indexes; (5) calculating the score of each evaluation index and the comprehensive score of each evaluated area through weighting; and (6) according to the evaluation results, sequencing the investment effects of selected evaluated areas in a descending order, analyzing main indexes influencing the sequencing of investment effects, and for lower-ranking evaluated areas, making an optimizing adjustment strategy. According to the invention, the acquired index data of each evaluated area is subjected to normalized processing by using an evaluation index function, and then the score of each evaluation index and the comprehensive score of each evaluated area are calculated according to a combination weight so as to find out the weak links existing in a power distribution network, thereby quantifying the investment efficiency of a county power distribution network, and providing reference and basis for distribution network planning and decision-making departments.

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 present invention is applicable to the field of sports business model based on the Internet technology and particularly relates to a shared sports equipment business model, an equipment access method and profit models thereof. The shared sports equipment business model comprises a user terminal, a plurality of sports equipment receiving devices, multiple sports equipment placed in the sports equipment receiving devices and an operating business management platform. Preferably the shared sports equipment business model also can comprise a data analysis module, a technical statistics module, an advertisement placement module, a self-service catering service module, and a user behavior recording module. The data analysis module can generate a statistical report according to the information that a user uses the sports equipment. The technical statistics module can generate a technical statistics report that the user uses the sports equipment. The self-service catering service module is used for providing self-service catering service to the user. The user behavior recording module can record a process that the user does physical activities. The profit models can include time-sharing leasing, advertising, freemium profit models.

The invention discloses an indoor intelligent energy saving system based on Internet of Things and machine learning. The indoor intelligent energy saving system based on the Internet of Things disclosed by the invention comprises a control input parameter module, a main control unit of the Internet of things, a terminal node set of the Internet of things, a terminal device set, an intelligent energy saving system module and an effect feedback module. The input parameter module comprises a variety of control input parameters, comprising, but not limited to, device control events, human sensingsensors, ambient light sensing sensors, area information, planned schedules, user preferences, scene information, environmental sensors, and the like. The indoor intelligent energy saving system disclosed by the invention has the beneficial effects that: 1. energy conservation, user experience and work performance can be comprehensively optimized by the cooperative use of the Internet of Things and an intelligent algorithm; and 2. multiple input parameters are comprehensively input, so that the decision making is more comprehensive and more scientific.

The invention discloses a reservoir parameter logging interpretation method based on a regression committee machine. The method includes the following steps of 1, selecting logging data sensitive to to-be-predicted parameters as input; 2, normalizing each input attribute value; 3, obtaining reservoir parameters according to results of rock physical experiments; 4, combining the logging data of each layer with experimental data of the reservoir parameters to form a data set; 5, randomly dividing the data set into a training data set body and a test data set body; 6, selecting several intelligent regression algorithms to serve as front-mounted regression predictors; 7, using the training data set body as input and training each intelligent regression algorithm to obtain a corresponding regression prediction model; 8, using the test data set body as input and setting a prediction value by each prediction model; 9, for each set of input data, combining the prediction values set by the regression prediction models, and adopting a committee decision mechanism for setting final prediction values.

The invention discloses a reservoir fluid identification method by using logging data based on a committee machine. The method comprises the following steps: 1) selecting logging data as input data; 2) normalizing the input data; 3) according to an oil testing result, obtaining a reservoir fluid type; 4) making the logging data and the fluid type to form a data set; 5) randomly dividing the data set into a training data set and a test data set; 6) selecting pre-classifiers; 7) training each pre-classifier to obtain a corresponding classification model; 8) using the test data set as an input togive a category through each classification model; 9) for each set of input data, combining the categories given by each classification model, and adopting a committee decision-making mechanism to give a final classification type. The method simulates the decision-making mechanism of the committee and combines a plurality of the pre-classifiers to reduce falling into the local minimum and make the decision of the committee more scientific and accurate.

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 data mining system. The system comprises a plurality of electronic control units (ECUs) and a data mining terminal, wherein the ECUs are connected by a controller area network (CAN) bus and form a CAN; and the data mining terminal is connected into the CAN by the CAN bus and used for mining data which meets conditions preset by a user from the CAN. The invention also discloses a data mining method. In the view of extracting objectively required data in practical application, configuration-based conditional acquisition and control can be performed inside and outside the CAN, and a wide data acquisition and control channel is opened for a closed CAN. The data mining method is particularly suitable for the remote data mining of the CAN communication network, and reliable means are provided for comprehensively monitoring vehicle states, scientifically making decision and responding in time.

The invention provides an urban public toilet site selection decision-making method and a device, and a computer readable storage medium, and the method comprises the steps: segmenting an urban crowdoutdoor activity position thermodynamic diagram into a plurality of regions comprising dot matrixes; calculating the mass center of each point in the dot matrix; selecting a plurality of public toiletconstruction alternative addresses near the centroid of a point suitable for constructing the public toilet area in the area according to the positive factor and the negative factor after the area which is not suitable for constructing the public toilet in the area is excluded; screening an address most suitable for constructing the public toilet from the plurality of public toilet construction alternative addresses, and marking the address as a site selection point Ai '; and calculating the number of squatting positions needing to be built when the public toilet is built at the site selection point Ai' according to the population number in the preset range of the site selection point Ai 'and the number of available squatting positions of the existing public toilet. According to the method provided by the invention, objective support is provided for personal reasonable decisions of planners, so that the decision of urban public toilet site selection is more scientific, objective and efficient, and a satisfactory result is brought to citizens.

The invention relates to a power grid usable power transmission capability risk benefit decision-making method based on power flow entropy. The method includes: (1), acquiring running parameters of each element of a power grid; (2), performing uncertain sampling on running state of the power grid; (3), calculating power flow entropy and usable power transmission capability of the power grid in a system state after sampling; (4), judging whether sampling termination condition is reached or not; (5), building a usable power transmission capability risk benefit model; (6), combining the power flow entropy to generate a usable power transmission capability decision-making mode, and determining an optimal release value according to the model. A decision-making model combining power flow entropy of the power grid and the usable power transmission capability risk benefit model is built for the first time and comprehensively takes power grid system running state and risk benefit into consideration, decision making is performed on usable power transmission capability release value from a safety technology level and a market economy level, the release value is enabled to be more fitted with running actual condition of the power grid, and economic benefit is improved effectively.

The embodiment of the invention provides an intelligent commercial service system based on big data analysis and relates to the field of big data processing technology. The system comprises a data collection and storage subsystem, a real-time data stream processing subsystem, a storage subsystem, a bottom layer support subsystem, an encryption subsystem and a business output subsystem. Through thesystem, precise analysis of commercial information abundantly contained in the Internet is realized, and intelligent commercial services can be provided for small and medium-sized enterprises conveniently and quickly.

The invention discloses an intelligent lighting control system based on circadian rhythm. The intelligent lighting control system comprises a control input parameter module, an intelligent lighting control system module, an Internet of Things main control unit, an Internet of Things lighting terminal node set and a terminal lighting lamp set, wherein the input parameter module comprises a plurality of control input parameters including but not limited to an equipment control event, a color temperature sensor, a brightness sensor and a GPS sensor; and the Internet of Things main control unit isresponsible for realizing communication between the intelligent lighting control system module and the Internet of Things lighting terminal node. The circadian rhythm is used for adjusting the colortemperature, the brightness is adjusted in a manual and system combined mode, and a data classification prediction technology is used for achieving prediction of manual brightness adjustment. Sensorsof a smart phone are used, so that the implementation is more convenient, and the cost is lower.

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 provides a spare part inventory optimization method and device. The method is applied to the technical field of inventory control and logistics management. The method comprises the following steps: setting an equipment spare part system availability index; based on the availability index, establishing a spare part inventory optimization model by taking the spare part availability asa constraint condition and taking the minimum total guarantee cost of the spare part as an optimization target; and adopting the marginal effect method to solve the spare part inventory optimization model, and determining an optimal spare part inventory scheme. According to the spare part inventory optimization method and device provided by the invention, the spare part inventory optimization model is established based on the availability of the equipment spare part system, more scientific decision can be made for the optimal configuration of the equipment spare parts, the war readiness integrity of the equipment is improved, and a large amount of inventory cost can be saved.

The invention discloses a combination theory based quasi natural language semantic information extraction method and system. The method includes that an advanced semantic analysis technology is applied, web-based big data are subjected to deep analyzing and mining, information with business values is mined from a huge number of the web data and can be applied to business intelligence services of small and medium-sized enterprises, business intelligence services and product precision marketing services on aspects of forecasting market demand changes, predicting competitor actions, discovering new and potential competitors, supporting technical development decisions, supporting marketing tactical decisions and the like are supplied for the small and medium-sized enterprises, enterprise business intelligence acquisition costs are greatly reduced, capacity for information acquisition is improved, and competitiveness of the enterprises is greatly improved.

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 an intelligent underground well monitoring system, and belongs to the field of intelligent monitoring. The intelligent underground well monitoring system comprises a well base,a well lid lifting device, a communication device, an underwater lifting mechanism and the like, the work efficiency of the maintenance personnel can be improved, the well lid lifting device is arranged above a well seat body and under a well lid, and in order to improve the safety and stability of well lid replacement, a lifting arm is arranged to be U-shaped and comprises a first-stage U-shapedarm, a second-stage U-shaped arm and a third-stage U-shaped arm. In order to improve the lifting stability, at least four guide rails are arranged on the side faces of the first-stage U-shaped arm, the second-stage U-shaped arm and the third-stage U-shaped arm, and a sliding block is arranged on each guide rail in a sliding mode. The lifting stability is improved, the working efficiency is improved, and the time is saved.

Disclosed is a decision-making method of intelligentization building projects of an intelligent power distribution network. The method comprises the steps that an evaluation index system of the intelligent power distribution network is firstly built, then intelligent power distribution network data of the current year are substituted into the evaluation index system for calculation to obtain evaluation data, intelligentization building projects, to be decided in the next year, of the intelligent power distribution network are graded according to the obtained evaluation data so that project scores of all the intelligentization building projects can be obtained, and finally the intelligentization building projects needing to be invested in are screened out of the intelligentization building projects to be decided in the next year through a multi-objective comprehensive optimization algorithm according to the project scores of all the intelligentization building projects and information of the intelligentization building projects to be decided in the next year. The intelligentization building projects of the intelligent power distribution network are decided scientifically, objectively and reasonably.

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 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 discloses a boat running method in low bridge sea-route. It constructs the tail gate in the bridge bottom, when the boat in the sea-route, the tail gate is opened and the boat is in the tail gate; when the door is closed, the water in tail gate is pumped out and the boat height is to decrease according to the bridge; one method is the boat only passes the bridge bottom while the tail gate is fixed on the bridge sea-route; the other is the tail gate is movable and the tail gate is pulled or through the seal-route. Then the water is drained into the gate when it reaches the out level, the boat is out of the tail gate. The invention is proper for all kinds of the sea-route in high boat and low bridge.

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.