49 results about "Plan analysis" patented technology

Methods of and apparatus for simulating and projecting future sales, inventory and gross margin are described. Some methods provide bottom-up item-by-item, per location simulation of unit inventory and unit sales. Notional deliveries and other features of simulations and projections are reflected in the detailed description, accompanying figures and claims.

Computer-implemented and associated operating methods evaluate robustness of a query plan by measuring performance with regard to a range of runtime conditions and producing a map of relative performance of the given query plan when compared with alternative plans for a range of conditions. The computer-implemented system comprises logic that evaluates the selected query plan in comparison to multiple alternative query plans in a predetermined range of runtime conditions that include data characteristics. The logic produces a set of performance measurements and analyzes the measured performance to map performance of the selected query plan in comparison to performance of one or more alternative query plans.

The invention relates to a method and a system for generating emergency action plan based on pre-arranged plan; the method comprises: an information recording step for receiving and storing the current affair information input by users; a pre-arranged plan extraction step for detecting at least one group of emergency pre-arranged plans matched with the current affair from a pre-arranged plan database according to the current affair information; a pre-arranged plan analysis step for extracting all correlated secondary and derivative affairs from an affair chain database, searching typical cases similar to the current affair from a case database, and correcting the at least one group of emergency pre-arranged plan to form an emergency action plan; and a plan generation step for constantly forming a corrected emergency action plan according to basic decision data in the current affair information, and generating a current emergency action plan according to a man-machine interaction step. In the invention, the emergency action plans are generated to change artificial decision process, thereby reducing the loss caused by artificial error and ensuring the safety of social public property.

The invention relates to a monocular vision measuring method for large parts, and belongs to the technical field of measuring. According to the monocular vision measuring method for the large parts, planning analysis is carried out on the optimal point of sight of a part to be tested by adopting a video camera shifting method, limitation of one-time measuring of the video camera is overcome, and the measuring range is enlarged. After the video camera finishes measurement in an effective field of view, the video camera is moved to another position, the fact that the pose of a shifting ball does not change is guaranteed, a measuring bar is rotated to enable the face, posted with a marking point, of the measuring bar to directly face the video camera, the rotating angle of the measuring bar is recorded, the mutual relation before the shifting and after the shifting can be obtained through the shifting ball and marking holes in the shifting ball, space splicing can be carried out on multiple sets of coordinate values through the mutual relation before the shifting and after the shifting, and reconstitution on the three-dimensional shape of a large part by using an existing instrument is achieved.

A computer implemented method, apparatus, and computer usable program code for simulating a process. Data is received describing a process to form received data. A current discrete event simulation model is formed from the received data in a discrete event simulation engine, wherein the current discrete event simulation model includes a current schedule having a plurality of ordered tasks. A simulation of the current discrete event simulation model is performed in the discrete event simulation engine, wherein results are generated from running the current discrete event simulation model. Finally, a new schedule is generated from the current schedule and the results using schedule analysis tool.

The invention relates to a power distribution network automatic planning method and system. The method comprises the steps that a feeder line to be analyzed and parameter information of the feeder line to be analyzed are acquired; planning analysis parameters and equipment parameters are acquired; and power distribution network automatic planning analysis is performed according to the feeder line to be analyzed, the parameter information of the feeder line to be analyzed, the planning analysis parameters and the equipment parameters so that a planning result is obtained and displayed. According to the method, power distribution network automatic planning analysis is performed according to the feeder line to be analyzed, the parameter information of the feeder line to be analyzed, the planning analysis parameters and the equipment parameters so that reliability of power distribution network automatic planning analysis is enhanced.

A system is disclosed which is configured to perform work force planning analytics for an organisation having an organisational structure and a work force. The system includes a processing module configured to receive input parameters for determining a work force demand, including a definition of the organisational structure and one or more of a productivity metric, a utilization metric, a determining factor metric and a desired span of control metric. The processing module is also configured to receive one or more input parameters for determining a work force supply, including an input of the work force. The system also includes an analytics module, executed by a processor, configured to determine a forecast work force gap utilizing the input parameters for determining a work force demand and supply. The system also includes a user interface configured to provide a view of the forecast work force gap.

The invention discloses a mobile network fault analysis system based on an intelligent terminal. The system comprises a network alarm data collection module, a network alarm data processing module, a network alarm assessment model building module, a current network alarm data collection module, a mobile network working condition access module, a data pre-processing module, a mobile network condition prediction module, a mobile network group unite planning analysis module, a network fault assessment module, a mobile network physical model building module, a virtual parameter actuation module, a virtual parameter module, a simulated analysis module and a central processor. According to the system provided by the invention, a large quantity of alarm data analysis of maintenance personnel can be avoided, work complexity is reduced, and network quality can be better optimized; rapid positioning of an alarm fault and pre-warning of hidden dangers can be automatically achieved, and healthy operation of a mobile network is achieved to a certain extent; simulated analysis of a physical model of the mobile network is achieved, and work of workers is further facilitated.

The invention belongs to the technical field of resource virtualization, particularly relates to a quick information system deploying method on the basis of a virtual computing environment, and aims to provide the quick information system deploying method under the virtual computing environment on the basis of a resource virtualization technology so as to meet requirements on quick establishment of a business unit. The quick information system deploying method includes the steps of operating environment preparation, pre-arranged plan analysis, pre-arranged plan generation and pre-arranged plan deployment. In the step of the operating environment preparation, a basic operating environment support is provided for quick deployment of the whole business unit; a pre-arranged plan is generated according to configuration information described by the pre-arranged plan analysis; the generated pre-arranged plan is checked, and then the pre-arranged plan deployment is started after various resources described in the configuration information are extracted from the basic operating environment. Automatic deployment of software in a virtual machine is realized, and deploying speed and automation degree of an information system are increased.

The invention discloses a road traffic signal light fault diagnosis device comprising a detector fault diagnosis module, a signal light fault diagnosis module, a power supply system diagnosis module, a wireless communication module, a sound and light alarm module, and a human-machine interaction module. The modules are independent from each other. The software and hardware modules of the device are effectively separated. In timing plan analysis diagnosis, the device uses a detector for information analysis, fully considers the actual status of an intersection, and improves the reliability of diagnosis. The device realizes remote diagnosis, so that a technician can modify configuration and parameters of the device through a remote 4G wireless network and do analysis and processing of data through a wireless network without being on site.

The invention discloses an auxiliary power grid planning system. The auxiliary power grid planning system comprises a power grid flow acquisition calculating module, a power grid flow analysis prediction module, a power grid condition access module, a data preprocessor module, a power grid situation prediction module, a power grid group combined planning analysis module, an expert decision analysis module, a central processor, a planning decision simulation module, a virtual actuator, a virtual parameter module, a simulation analysis module, a power grid information management module and a man-machine interaction module. The system is advantaged in that the system is suitable for different power supply guarantee rate requirements, a power grid planning process optimized to a maximum degree can be further provided, power grid network regulation and control validity and safety are improved, and stability and efficiency of power grid network operation are improved.

The invention relates to the technical field of power system analysis and provides a planning analysis method of a distributed and centralized development mode of clean energy, comprising the following steps: A. determining a planning level year; B. Assessment of the clean energy resource potential of the country/region to be developed; C. estimating the generation cost under the centralized and distributed development modes of clean energy; D. determine that constraint conditions of the plan analysis model of the centralized and distributed development mode of the clean energy; E. constructing a planning and analysis model of centralized and distribute development mode; F, selecting and calculating that cross-continental outward channel of the rich resources; G. outputting optimal transmission channel plan. The present invention provides quantitative measurement results for accurately estimating the centralized and distributed development scale, layout, development economy and outgoing channel selection of clean energy in a country or region in the future level years, and provides planning basis for future development mode of clean energy in a region rich in global resources.

A method for optimizing scheduling and handling of power grid accidents includes the steps of acquiring power grid account information from a power supply company system; acquiring power grid topological information from the power supply company system; acquiring power grid load information from the power supply company system; managing information of users important to a power grid; subjecting 220KV substations and 110KV substations governed by the power grid of a power supply company and a corresponding power distribution network to accident plan analysis so as to achieve fast accident isolation and optima fast automatic restoration of the power grid after accidents; and subjecting the 220KV substations and 110KV substations governed by the power grid of a power supply company and the corresponding power distribution network to accident reach analysis. Accident handling plans are automatically updated based on a network model of load and user weight and according to data update conditions, so that anti-accident operability is greatly improved. The method is considerably advanced and is applicable to various fields of scheduling and handling of power grid accidents.

The invention discloses a fault handling plan online checking parallel computing method, which comprises the steps of obtaining power grid real-time operation mode data and X sets of plan files to bechecked in a power system, and performing filtering and screening; for the N sets of screened plan files meeting the requirements, issuing key information to a management platform side by utilizing adata transmission service; forming post-fault mode data corresponding to each plan on the management platform side, performing task distribution and scheduling according to the number of the computingnodes, and dynamically distributing the post-fault mode data of the plan to each computing node; at the computing node side, carrying out monitoring and controlling for each issued plan checking andanalyzing task; returning a result of each plan check analysis task to the management platform side; and at the application server side, recycling and summarizing the result of each plan check analysis task. According to the method, the timeliness of plan analysis can be improved, the power grid analysis and calculation period is shortened, the practicability of a fault handling plan online checking system is improved, and safe and stable operation of a power grid is better guaranteed.

The invention discloses a power failure maintenance plan analysis and optimization system based on a kneading algorithm, and the system comprises an optimization system. The optimization system includes: a kneading algorithm model which optimizes the equipment maintenance time deviation period, enabling the workload arrangement to be reasonable, and has small the influence load of power failure maintenance; a plan generation module which classifies and arranges the power transmission and transformation equipment on the basis of intervals, and can complete arrangement of annual and monthly maintenance plans; a modification module which is used for manually maintaining the plan name and arranging time to manage the maintenance plan; a network topology module which is used for determining equipment capable of simultaneously participating in maintenance; a database which is used for storing data; a plan output module; and an intelligent power utilization cloud module. Corresponding manualadjustment can be performed on the scheduling result according to the actual situation, the workload of each department is reasonably arranged to improve the working efficiency, the kneaded maintenance plan is executed at the same time, the power failure frequency and the power failure time are reduced, and the intelligent degree and the management capability of the maintenance plan are improved.

The invention discloses a radiotherapy plan analysis method, device and equipment, relates to the technical field of intelligent medical treatment, and can improve the efficiency and accuracy of radiotherapy plan design so as to improve the cure rate of a patient. The method comprises the following steps: determining a to-be-analyzed radiotherapy plan type of a target patient, and acquiring a CT image of a human body part corresponding to the radiotherapy plan type; configuring analysis preparation parameter information corresponding to the CT image; determining planning parameter informationaccording to the doctor prescription information of the target patient; and finally, according to the plan parameter information and the configured CT image, performing analyzing to obtain radiotherapy plan design information corresponding to the target patient. The method is suitable for radiotherapy plan analysis design.

The invention relates to the field of power distribution network planning, and especially relates to a power distribution network planning analysis and auxiliary decision-making system. The system is characterized by comprising a data input and output mode for storing data of a power distribution network planning scheme and the result of a topology analysis in a data file; a power supply reliability index generation module for calculating the reliability index of a power distribution network according to the types of set faults of equipment attributes in the data file; a power supply quality index generation module for calculating a power supply quality index of the power distribution network according to the equipment attributes in the data file; an expected accident analysis module for analyzing various conditions in which accidents may occur and transmitting an analysis result to a feedback module which transmits the analysis result to a self-check module through signals; and a recording module for recording data of the accidents occur at each time into the data file, and making marks. The power distribution network planning analysis and auxiliary decision-making system provided by the invention is capable of self-check and is low in fault rate.

The invention belongs to the technical field of an adversarial network, and discloses a method for improving a GAN (Generative Adversarial Network) by using adaptive control learning, which is suitable for an adaptive hyper-parameter learning process of the GAN to improve the training stability of different data sets so as to ensure the quality of generated data (such as images and characters). The method is realized by guiding a training process of a data set with relatively complex categories and modes through a learning curve of training elements obtained under the data set with relativelysimple categories and modes; The present invention also analyzes an adaptive generative adversarial network (Ak-GAN) model having a multi-layer perceptron (MLP) and a deep convolutional neural network(DCGAN) architecture. According to the method, the stability of general GAN training can be improved indeed, and the method can be well popularized to various improved models and data sets; For future work, plan analysis better generates a sample metric, which may encourage convergence of the GAN; The effect of the proposed adaptive control mechanism in GAN multi-modal learning is hoped to be analyzed.

The invention belongs to the technical field of resource virtualization, in particular to an information system deployment method under a virtual computing environment. A method for rapidly deployingan information system under a virtual compute environment is provided on the basis of the prior resource virtualization technology, so as to meet the requirement of rapidly opening a business unit. The method includes operational environment preparation, contingency analysis, and the generation and deployment of contingency plans. The operation environment prepares to provide the basic operation environment support for the rapid deployment of the whole business unit, generates a plan according to the configuration information described by the plan analysis, audits the generated plan, extractsvarious resources described by the configuration information in the basic operation environment according to the generated plan, and then initiates the plan deployment. The method realizes the automatic deployment of software in the virtual machine, and improves the deployment speed and automation level of the information system.

The invention discloses a customer storage and analysis system for an e-commerce platform, and relates to the technical field of information management. The problem that related real-time data cannotbe provided in time is solved. The system specifically comprises a data processing engine, a storage module, an updating module, a statistics module and a plan analysis module, the data processing engine is in communication connection with the storage module, and the storage module is used for storing customer information. Customer information is stored in the storage module in a centralized manner; the updating module is used for updating the client information in the storage module in time; client information can be updated in time, the clients are scored according to the statistical resultof the statistical module sorting is performed according to products transacted by the clients and finally, a plan is made; client information can be searched in a single-row text search, multi-row text search or cascade mode according to needs during ordering, the client information can be timely and accurately managed, high practicability is achieved, the clients with high value degrees can be analyzed and screened out, and key mastering of the clients with high value degrees is achieved.