532 results about "Demand analysis" patented technology

The invention discloses an intelligent searching method and device. The method comprises the following steps of: step 1, acquiring the current position information of a user; step 2, searching for interesting point information and / or event information directed at the user through a customized searching model corresponding to the user according to the current position information and the current time, wherein the customized searching model is obtained by executing demand analysis of each period of time on the base population of the user; and step 3, transferring the interesting point information and / or the event information to the user. Through the method and device disclosed by the invention, the user can get the interesting point information and the event information based on user characteristics without executing input operations, so that the life information demand of the user can be satisfied conveniently and accurately.

The invention relates to a travel demand analysis-based bus station point deployment method. According to the travel demand analysis-based bus station point deployment method, travel demand characteristics of Beijing are analyzed based on massive taxi data; passenger hot areas are obtained through trajectory data; data such as road traffic congestion conditions, road types, road width and the number of roads are obtained through GIS map data extraction, and the data are adopted as consideration factors for station site deployment; and station site deployment optimization targets are processed, and a greedy algorithm is adopted to solve problems in station site deployment. Bus station sites obtained through adopting the method is the basis of intelligent bus line design; and routes can be arranged between the bus station sites, so that travel cost of passengers and road resource consumption can be effectively reduced.

A method of performing job analyses and delivering or providing access to the results of the job analyses by creating a list of job requirements and working conditions for each discrete task of a job, creating a physical demands analysis comprising a list of physical requirements of each discrete task of a job, and combining the lists into a job analysis database for determining whether a worker can perform a job.

The invention discloses an industrial enterprise power utilization load optimizing system which belongs to the field of enterprise power load scheduling. The industrial enterprise power utilization load optimizing system is characterized in that hardware comprises a relationship database server, an application server, a client end PC, a real-time database server and the like, wherein the application server is connected with the real-time database server for carrying out data interaction, the application server is connected with the relationship database for carrying out data storage and reading, the client end PC is connected with the application server for carrying out information interaction; and the application module comprises a data acquisition module, a data processing and storing module, a demand computing module, a parameter setting module, a demand predicting and controlling module, a load control scheme and alarm information managing module, a demand analyzing module and a time-sharing power rate analysis optimizing module. The invention has the advantages of a power utilization plane with minimum cost in further of the enterprise through demand analysis and time-sharing power rate analysis optimization, and the purposes of transferring peaks and balancing valleys, balancing loads, prolonging the service life of electric equipment, and reducing power utilization cost of the enterprise.

The invention provides a search engine system which comprises a structured data memory bank, a demand analysis module and a searching assembly, wherein the structured data memory bank is used for storing structured data; the structured data comprises attribute values corresponding to a plurality of attribute tags; semantic templates are also stored in the memory bank; the semantic templates comprise the attribute tags; the demand analysis module is used for receiving a query word expression from a client and determining the corresponding semantic template according to the query word expression; and the searching assembly is used for searching the structured data memory bank so as to obtain the structured data to be searched. The search engine system provided by the invention analyzes the search expression of a user through the semantic templates so as to exactly know a biggest demand of the user and provide a most suitable mode expression capable of meeting the demand of the user for the user, and thus, the user obtains good using experience, the searching efficiency is improved and the network flow is saved.

The invention discloses a resident trip OD (Origin Destination) acquisition method based on mobile phone signaling data. The method comprises the step of analyzing time-space position information in user mobile phone signaling data to recognize move and stop behaviors of a user, thus determining trip end points; and the method specifically comprises the steps of acquiring and preprocessing mobile phone signaling data according to the investigation requirement, judging the motion state of a position point, and performing zonal statistics and result sampling expansion. The method has the advantages of large investigation samples, low implementation cost, long-term continuous monitoring and the like, and can provide a technical support for acquiring large-range accurate and reliable resident trip OD data in traffic demand analysis and traffic planning making.

The invention discloses a fast intelligent commodity recommendation system. The recommendation system provides personalized services for customers according to own demands of a commodity provider. The recommendation system comprises a merchant demand analysis module and a commodity recommendation module. A merchant demand is expressed in a form of rules; and a customer transaction database stores transaction records of a merchant. The merchant demand analysis module evaluates commodities operated by the merchant according to the merchant demand and the customer transaction database to generate a commodity library to be recommended. The commodity recommendation module generates a recommended commodity list meeting the own requirement of a current customer according to the customer transaction database and the commodity library to be recommended to provide commodity services for the current customer. The commodity recommendation generated by the system is not only customized for the customer, but also is customized for the merchant, can greatly increase the sales and the profits for the merchant, can improve the service speed of the commodity recommendation system to realize real-time service, has high expandability, and can meet the requirements of large merchants.

The invention discloses a design method of a concept prototype of a flight control system, which belongs to the technical field of design of the control systems. The method comprises the following steps: step 1) carrying out demand analysis, management and confirmation on the flight control system; step 2) carrying out system analysis and confirmation on the flight control system, and carrying out structural and functional division on the system; step 3) designing all member simulators of the flight control system; and step 4) carrying out system level design and simulation on the flight control system, and establishing the concept prototype of the flight control system. The seamless butt joint between Rhapsody software and Matlab software can be realized by utilizing the point-to-point way, and design data in the two types of software can be organically combined. Compared with the prior art, by adopting the method, the correctness of the design of the flight control system from a top layer can be ensured, and the design efficiency of the whole flight control system can be greatly improved.

The invention provides a method and a device for creating a database table model. A demand analysis stage and a model design stage before a target database is created can be substantially shortened, a standard database table model can be quickly established, data loading efficiency is improved, and data warehouse construction is quickened. The method for creating the database table model comprises the following steps: storing source table information which is required for creating a target table and is obtained from a dictionary table of a source database; converting a source table field name and a source table field type to obtain a target table field name and a target table field type which can be identified by the target database; obtaining a corresponding target table name from source table identification information, and obtaining a table establishing code of the target table according to the target table name, the target name field name, the target table field type, a source table field description and a source table description; and executing the table establishing code to generate an integral target table model.

The invention discloses a designing method for a multimode control system of an aircraft. The designing method comprises demand analysis, system analysis and system designing stages, and is characterized in that the demand analysis, and management and confirmation data are from user demand (stakeholder demand) knowledge base; output data is a demand confirmed by an aircraft system and serves as one of system analysis inputs of the aircraft system; the input data of mode switching design at the system design stage is from a control mode conforming with tactics design and tactics type needs; output data are a mode switching controller conforming with the tactics need; co-simulation and verification at the system design stage refers to that co-simulation is performed on isomerism models of an aircraft control system in the fields of machines, hydraulic and the like in a built simulation environment. According to the method, the functional, physical and software system structure of the system can be defined, and demand capturing of the system and system analysis can also be supported.

The invention discloses an equipment logistic support analysis method for use and maintenance tasks, and belongs to the technical field of logistic support analysis of aviation equipment. The method includes the following steps: determining use work flows and work projects; carrying out prevention maintenance analysis and repair maintenance analysis of products, providing prevention maintenance work projects and maintenance intervals for the prevention maintenance analysis, and providing repair maintenance work projects for the repair maintenance analysis; for each work project, setting logistic support resource demands needed by the flows and each procedure in the flows; on the basis of the logistic support resource demands, carrying out detailed analysis on each demand, the detailed analysis including logistic support equipment demand analysis, repair level analysis and training demand analysis; carrying out spare part analysis according to the repair level analysis; and finally carrying out logistic support analysis and assessment. According to the method, results of input and output of each sub-analysis method are made clear, equipment designs can be restricted, and use and maintenance resource demands of equipment within a life cycle period can be supported.

The embodiment of the invention discloses a big data production planning method. The method is used for solving the technical problems that an existing plan demand analysis system cannot calculate the product production demand in advance and cannot conduct production in advance before a customer places an order. The method comprises the steps of obtaining historical product sales data from a database; working out the product sales forecasting amount according to the historical sales data; obtaining the non-delivery amount, the preparation amount and the to-be-delivered amount of ordered products; obtaining the current inventory and the purchase number of the products; obtaining the product demand amount according to the sales forecasting amount and the non-delivery amount of the ordered products; obtaining the available inventory quantity of the products according to the current inventory, the purchase number, the preparation amount and the to-be-delivered amount; finally, obtaining the production forecasting amount by adding the minimum safety inventory quantity to the difference between the demand amount and the available inventory quantity. The embodiment of the invention further provides a big data production planning system.

A highway network traffic investigation data acquisition and analysis application system is composed of a traffic dynamic information auto-acquisition unit and a monitoring unit, wherein the traffic dynamic information acquisition unit is connected with the monitoring unit in virtue of a data transmission network; the working method is divided into a highway network OD data generation unit, a highway network traffic demand analysis and prediction unit, a highway network traffic distribution and network evaluation unit, a highway network planning unit, a highway project feasibility research and post-evaluation unit and a highway network operation management unit. The highway network traffic investigation data acquisition and analysis application system has the advantages of: (1) real-time, accurate and objective acquisition of highway information; (2) displaying the acquired and analyzed traffic information in image form on GIS; (3) providing maintenance management decision and planning construction decision of highways with basic database and theory support; (4) proving the public with main data basis of travel and induction service; (5) comprehensively acquiring data, and effectively and rationally selecting the data information, thereby providing a scientific and standard traffic investigation report.

The invention discloses a complete software life cycle management method based on DevOps. The method comprises the steps of: collecting and analyzing requirements; performing demand tracking management; performing an automatic project delivery process; and monitoring operation and maintenance analysis and constructing a DevOps platform of a complete software life cycle based on the management method, wherein the platform comprises a demand management module formed by collecting management demands and tracking a development progress, a development delivery module which is composed of project creation, code development management, automatic testing and delivery management, and an operation and maintenance management module which is composed of project state analysis, monitoring and alarm management. According to the method, communication among early-stage demand analysis, development schedule arrangement, software development, automatic testing and operation and maintenance monitoring isenhanced, all-around support for the whole software life cycle is achieved, and the software development efficiency is improved.

A method, apparatus and computer program product are provided herein for ascertaining supply and demand analytics and outputting event. An example method comprises receiving blink data comprising at least a tag unique identifier from a tag, calculating, using a processor, tag location data, wherein the tag location data is based on the blink data, and correlating the tag location data to provider location data.

The invention provides a data warehouse model construction method and construction apparatus, which can achieve the purpose of quickly constructing a data warehouse model by utilizing activeness analysis of business data indexes. The data warehouse model construction method comprises the steps of determining an activeness index in the business data indexes in a given time period; by counting a call frequency of each business data index in the given time period, when the call frequency of the business data index is greater than a predetermined activeness limiting value, determining the business data index as the activeness index; performing business scene demand analysis on the activeness index to generate a logic model; and according to the logic model, processing data corresponding to the activeness index and storing the data in a data warehouse.

The invention discloses an avionics system capability demand analysis method based on an architecture framework. The method comprises the following steps: step one, starting from combat missions and avionics system typical combat activity demands, analyzing the avionics system capabilities of planes for finishing the combat missions by use of a top-to-bottom method, and establishing avionics system function demands; step two, according to the DoDAF architecture framework, converting the avionics system function demands into correlation avionics system function descriptions by use of a model-based system design method, and establishing an avionics system function architecture model; and step three, performing repeated iteration on the avionics system function architecture model and the avionics system function demands from the three aspects of grammar, semantics and pragmatics, and carrying out simulation verification on the avionics system function architecture model. According to the invention, the system design efficiency is improved, the system complexity is reduced, the integrated design of an avionics system can be effectively supported, the development period can be shortened, and the development cost is decreased.

The invention discloses an enterprise informatization project implementation management system, which comprises a project coding module, a project training module, a feasibility analysis module, a demand analysis module, a project organization module, a meeting recording module, an implementation planning module, a business investigation module, a scheme designing module, a system research and development module, a data management module, a system switching module, a system evaluation module, a continuous improvement module, a contract management module, a procurement management module, a knowledge management module, a document management module, a project management and control module and a project experience module. The informatization project implementation management system provided bythe invention can realize project management and control, overall planning and intelligent decision-making, and can improve the service level.

The invention discloses a demand analysis and integration method for the function safety and information safety of and industrial control system, and the method comprises the steps: analyzing assets in a system, determining related properties of assets, and forming an asset list of the system; determining the possibility of accidents according to the relevance between the assets of the system and the accidents; determining the accidents which needs further function safety guarantee measures, and further determining a function safety demand set of the system; analyzing an inherent bug of the assets and the possible information safety throat and corresponding protection measures of the assets; judging the assets needing to be protected in a reinforced manner, and further determining the information safety protection measure of the assets, wherein the protection measures needed by the assets form an information safety demand set of the system; carrying out the conflict coordination of the function safety demand set and the information safety demand set, and obtaining an overall safety demand set of the system; and optimizing the overall safety demand set of the system through combining with the total cost constraint of the system according to the implementation cost of all safety measurements.

The invention provides a lean supply chain logistics system and a method. The system comprises a demand analysis server which is used for receiving user demand request information led in with a fixed mode and generating customized order information to send to a main factory terminal; a task distribution server which receives a production task instruction from the main factory terminal and distributes production tasks to each branch factory terminal, and the production tasks distributed to each branch factory terminal are copied to an RFID tracking database; a feedback processing server which receives supply related information fed back by the branch factory terminals according to the production tasks, dynamically adjusts distribution of the production tasks and controls a cycle supply displayer arranged in a logistics warehouse to update and display the supply related information; and the RFID tracking database which acquires practical logistics information of a product via reading an RFID adhered on the product in the logistics operation process and is matched with the production tasks to confirm the completion situation of the production tasks and update the supply related information displayed on the cycle supply displayer.

A creatively designed network platform constructing and applying method relates to the field of creative design of products, information retrieval and computer network service, and comprises the following steps: demand analysis software, a knowledge base system, a multi-layer research software, an online computer aided innovation software and scheme evaluation software are arranged in a server; (2) a user sends user requirements into the server on a remote networking computer and converts the user requirements into design demand data and returns the design demand data; (3) the user inputs the design demand data into the knowledge base system, the multi-layer research software or / and the online computer aided innovation software; (4) after the user solves, the server generates a first principle solution, a second principle solution or / and a third principle solution; (5) the user inquires and obtains a fourth principle solution in a patent database and a domain knowledge database by utilizing the first principle solution; and (6) the user inputs evaluation parameters and a formula for scheme evaluation. According to the method, a systematic creative design tool is provided, a user interface is set, more creative schemes are generated, the design efficiency and the design quality of the product are improved greatly, and the development period of new products is shortened.

The invention provides a method for accurately estimating stack demand in an embedded system, which comprises the following steps of: performing stack demand analysis on the stack demand of a runtime library and a standard library of a local function and each call tree by using a complete function call relational graph, and summing; determining the maximum stack demand of each interrupt program in each priority level, summing, and adding the additional stack demand increased by saving the processor state; and summing the results to obtain the maximum stack demand of a single thread, wherein the complete function call relational graph is obtained by the following steps of: performing control flow analysis on a complete function relational graph to obtain a primary function relational graph, further analyzing by using a value analysis method of an abstract interpretation algorithm aiming at an indirect call function and a recursive call function, and noting function calls which cannot be analyzed by users. Aiming at multi-thread, a single thread step is repeated, a sum is calculated, and finally the sum plus the stack demand of the operation system is the total stack demand of the system.

The invention discloses an automatic laboratory chemical oxygen demand analysis device. The automatic laboratory chemical oxygen demand analysis device comprises a framework, wherein the framework is internally provided with a work platform; the work platform is provided with a digestion pipe box for holding a plurality of digestion pipes; the framework above the digestion pipe box is provided with a three-shaft moving platform; a liquid adding pipe and an ORP (oxidation reduction potential) electrode are assembled on the three-shaft moving platform by a liquid adding pipe fixture; the ORP electrode and a computer control system are connected with each other. The automatic laboratory chemical oxygen demand analysis device provided by the invention can analyze the chemical oxygen demand automatically, thus saving the time of workers, and lowering the working intensity of the workers.

The invention relates to an open platform for supporting design, verification and validation of a telex flight control system, which is composed of five function modules, namely 1) a demand analysis, verification and refinement environment module of the telex flight control system; 2) a design, verification and validation environment module of the telex flight control system; 3) a hardware design environment module of the telex flight control system; 4) a project development environment module of flight control software; and 5) a system-level entire digitization, entire duty simulation test and confirmation environment module of the telex flight control system. The open platform can assist flight control system engineers to carry out demand analysis and validation of the telex flight control system, system overall design, verification of a design proposal, system hardware design, system software project development, system-level entire digitization, entire duty simulation test and confirmation to solve the problems of long development cycle, high cost, large risk, and the like brought by development environment. The open platform has wide use value and application prospect in the technical field of system projects.

The invention discloses a Web test platform based on a hybrid automatic test framework. The overall architecture comprises an automatic test management layer, an automatic test engine layer and a third-party test tool, and the automatic test management layer is used for managing the whole process of Web automatic test and supporting test implementation personnel to carry out test demand analysis,test design and test result analysis and summary; the automatic test engine layer is used for packaging and providing test data, hierarchically designing test scripts, modeling page objects and modeling business logic; the third-party test tool is used for development of automated test scripts, execution of test case sets and result feedback and tracking. A hierarchical design mode is adopted, a modular test framework technology and a data driving test framework technology are combined, test data and test scripts are separated, an object library and a function library are separated, the test scripts can be supported to be freely and flexibly combined according to needs, and the automatic maintenance cost is greatly reduced.

The invention discloses a graphical user interface model set up towards a mobile terminal, which belongs to the field of graphical interface development. The model comprises a functional layer, an objective layer and an interface template layer. The functional layer is the functional description of the whole system and used to produce an interface frame, relationship among the interfaces and requirement of the interface for the objective layer by means of demand analysis. The objective layer, as an intermediate layer in the whole graphical user interface model, exhibits the relationship between the interface and the internal data, and describes the data member characteristics of the object and the basic data type of the object member. The interface template layer is used to set up the corresponding relationship between the internal data and the external display element. The graphical user interface of the mobile terminal has a tree structure as a hierarchical structure. Excepting the root node of the tree structure, the node of the tree structure has two types, one is menu node and the other is dialog box node, wherein each menu node has sub-nodes. The invention can increase the efficiency of interface development for the mobile terminals and improve the reusability of codes.

The present invention provides a four-variable model based system safety analysis method. The four-variable model based system safety analysis method comprises the following steps: a. monitoring, analyzing and determining a monitored variable, a controlled variable, an input variable and an output variable of a system; b. based on the monitored variable, the controlled variable, the input variable and the output variable, establishing a four-variable model of the system, and using a four-variable model to carry out demand analysis on the system; c. establishing a semantic mapping rule between the four-variable model and an AltaRica model, and designing the AltaRica model with flow variables and state variables; and d. using analysis tools of the AltaRica model to establish a fault tree of the system, and carry out safety validation. The four-variable model based system safety analysis method disclosed by the present invention can better reflect system functions and physical architectures, so that safety and reliability analysis of the system can be carried out in a more facilitated manner.

The invention discloses an intelligent store patrol and customer behavior visual demand analysis system for intelligent stores. The system comprises multiple FRID tags of which each is installed on a garment and is used for recording the information of the garment, and a store management system which is used for receiving the identification codes in the FRID tags, carrying out garment counting, settlement, purchase guide, goods receiving and returning, inventory check and data analysis and querying the information of each garment according to the identification codes in the FRID tags. The store management system comprises a management control system, a storage module, a calculation module, a first read-write antenna, a first payment module, and a tag counting module, wherein the first read-write antenna is used for communicating with the FRID tags, and the calculation module is used for analyzing consumption data according to the information recorded on the FRID tags. With the system, customer behaviors can be analyzed in order to improve the sales volume of stores and increase the consumer satisfaction of brands.