40 results about "Estimation" patented technology

The invention belongs to the technical field of engineering design and data modeling, and discloses a degradation data-based product reliability assessment method and a parameter estimation method. The method comprises the following steps of stablishing a Wiener accelerated degradation model based on a random effect, wherein the drift parameter is a random variable obeying normal distribution; Constructing a residual life prediction model according to the accelerated degradation model, and deducing residual life distribution and a reliability function of the residual life; And according to theperformance degradation data in the stress state, through a two-step maximum likelihood estimation method, obtaining an unknown parameter estimation value of the model. According to the method, a newaccelerated degradation model and a new residual life prediction model are constructed through a classic Wiener model, and an estimated value of the residual life is obtained; According to the method, a two-step maximum likelihood estimation method is adopted, unknown parameters in the degradation model are estimated, restrictions of a traditional maximum likelihood estimation method are made up,optimal values of the unknown parameters can be obtained more accurately, the model can predict the remaining life of a product more accurately, and the application range is wide.

The invention provides a development area distribution network planning method and system. The method comprises the following steps of: (1) status analysis: finding out weak links of administrative village distribution networks through arranging and analyzing data of the administrative village distribution networks; (2) a load prediction method; (3) an administrative village distribution network transformation and construction scheme: forming a uniform village distribution network transformation and construction scheme from the idea of overall planning to solve the existing problems in the administrative villages; and (4) investment estimation: carrying out project investment estimation on each single project in a project library according to investment estimation control unit price conditions. According to the method and system, administrative villages are taken as units to form a plan that one village has one scheme about distribution network, the problem solution scheme is integrally considered from the global angles of transformer substation, 10kV circuit, distribution transform platform and low-voltage circuit, and different from the existing single-point problem solution scheme, the scheme is capable of effectively avoiding the problems of mass-demolishing mass-construction and repeated construction, and enhancing the economic benefits of power grids on the basis of problem solution.

The invention discloses an equipment residual life prediction method under a sequential Bayesian framework, and the method comprises the steps: firstly constructing a degradation model of degraded equipment in a project through employing a Wiener process with a random drift coefficient; then, performing off-line estimation on hyper-parameters and diffusion coefficients in drift coefficients in the degradation model by using a maximum likelihood estimation method based on historical degradation data of similar equipment; on the basis of degradation data monitored in real time, achieving on-line recursion of a drift coefficient hyper-parameter under a sequential Bayesian framework; and finally, deriving an analytical expression of the residual life probability density function under the concept of the first arrival time. Different from existing research based on a Bayesian method, the sequential Bayesian method mainly takes a parameter updating result at a previous moment as prior distribution at a next moment. Therefore, the invention can make full use of the information contained in all the degradation data of the specific equipment up to the current moment, and overcomes the problem that a traditional Bayesian method only depends on the degradation data of the current moment.

Systems and methods consistent with the present invention assess and evaluate project management offices (“PMOs”). Information relating to the current project management capabilities of a PMO is obtained. The information is compared with industry best practices information and consolidated knowledge and experience. Based on the comparison, the maturities of the PMO's current capabilities are evaluated. The maturities of the PMO's current capabilities are given scores which provide a standardized measure of the maturity of each capability. In addition to the scores, recommendations are provided indicating specific ways in which the PMO may improve the maturities of its capabilities.

The invention provides a project cost determination method and device, electronic equipment and a storage medium, and belongs to the technical field of engineering projects. The method comprises the steps that project information of each sample project is acquired, and the project information comprises project construction information, project environment information and project cost of the sample project; determining a plurality of sample features included in the project construction information and the project environment information; according to the influence degree of the sample features on the expenses consumed by the sample items, distributing a corresponding feature weight for each sample feature; and training an initial estimation model according to the sample features, the feature weights corresponding to the sample features and the project cost to obtain a target estimation model, and determining the project cost of a target project through the target estimation model. The method does not need a manual mode, improves the project cost calculation efficiency, and reduces the project investment.

The invention relates to a method and system for estimating the population density of urban built-up areas with spatial big data collaboration. The topological algorithm is used to divide the urban blocks, and combined with the spatial big data of the points of interest to distinguish the urban blocks into residential areas and non-residential areas; using remote sensing optical stereoscopic imaging data to obtain building heights; according to building heights and building ranges combined with demographic data, Construct a population density estimation model by multiple regression analysis; use the scope of the building and the height of the building as input variables, input it into the population density estimation model, calculate the population density, and then use the spatial statistical analysis method to distribute it to the regular grid space corresponding to the urban built-up area. The method and system can accurately and accurately estimate the population density of urban built-up areas, are more suitable for urban planning, disaster prevention and reduction, and business decision-making for fine population data, and are conducive to further promotion and application.

The invention discloses a multi-model fusion-based population distribution estimation method and device, and a storage medium. The method comprises the following steps of dividing a population distribution estimation region into a plurality of geographic units; obtaining a population distribution influence factor of each geographic unit; generating a first-order adjacency matrix based on the adjacency relation between the geographic units, and generating the multi-source spatial representation data of each geographic unit according to the population distribution influence factor of each geographic unit and the first-order adjacency matrix of each geographic unit; respectively taking the multi-source spatial representation data of each geographic unit and the population distribution influence factor as the input of a preset population distribution estimation model, and respectively outputting a population estimation value of each geographic unit by the population distribution estimation model, wherein the population distribution estimation model comprises a space matrix feature coding model, a global attribute feature coding model, a data fusion model and a classifier model. According to the method, the spatial information and the attribute information are considered, and a very good population distribution estimation effect can be obtained.

The invention discloses a traffic mode selection analysis method based on incomplete population information. Joint distribution of population attribute characteristics is established through a Bayesian network model; aiming at the problems that population survey data is partially incomplete and missing exists, posteriori distribution of other missing attributes is inferred through partial population attribute data in traffic mode selection modeling, so that a traffic selection model established under the condition of incomplete population data can obtain a good interpretation result. Accordingto the method, when the population attribute data is insufficient or missing, the Bayesian network is used for carrying out joint modeling on the plurality of population attribute features to obtainthe probability distribution of missing data, so that the traffic mode selection model obtains better estimation and interpretation results.

The invention relates to an engineering project division method capable of quickly and accurately carrying out valuation, and belongs to the field of engineering project management. Engineering project composition entity materials are subjected to classification and division, and the "quantity" and the "price" of the division contain all factors including a structure position, engineering materials, a construction scheme, construction management and the like; a coupling algorithm and a database corresponding to the "quantity" and "quantity" as well as the "quantity" and "price" of the traditional division of the same type of finished engineering project in a place where the engineering project entity material division and engineering projects are positioned are established, and the automatic mathematical statistics and the intelligent data mining of the "price" of the entity material division are realized; the engineering project preliminarily designs an estimate budget and a production drawing budget to carry out comparison and verification on the measurement value of the "price", practical generation values including bid price, settlement price, final settlement price and the like in bidding and tendering and the statistic value of the "price" to realize the utilization and the verification of the "price" in a basic construction whole process including the estimation value in a decision stage, the measurement value in a design stage, the practical value in a construction stage and the like, the "quantity" of an entity (material) subitem is automatically realized by a BIM (Building Information Modeling) model, and the quick and accurate valuation of the engineering project is realized.

The invention provides a method for analyzing the influence of the reputation of an accounting office on the risk of stock price collapse, and the method comprises the steps: obtaining sample data, processing sample source data, and obtaining the sample data; a variable acquisition step: acquiring explained variable data, explaining variable data and control variable data according to the sample data, wherein the explaining variables are measurement indexes related to the reputation of the accountant affairs; a model parameter estimation step: performing parameter estimation according to the sample data to obtain a parameter estimation value; an analysis model construction step: constructing an analysis model according to the explained variables, the explaining variable and the control variable; and a prediction analysis step: performing prediction analysis on the stock price collapse risk according to the analysis model to obtain a stock price collapse risk analysis result. The research system of the influence factors of the stock price avalanche risk is enriched through a new perspective, effective prevention of the stock price avalanche risk in the capital market of China is facilitated, and beneficial reference is provided for supervision and management of the accounting office and policy formulators.