63 results about "Cost assessment" patented technology

Techniques for allocating individually executable portions of executable code for execution in an Elastic computing environment are disclosed. In an Elastic computing environment, scalable and dynamic external computing resources can be used in order to effectively extend the computing capabilities beyond that which can be provided by internal computing resources of a computing system or environment. Machine learning can be used to automatically determine whether to allocate each individual portion of executable code (e.g., a Weblet) for execution to either internal computing resources of a computing system (e.g., a computing device) or external resources of an dynamically scalable computing resource (e.g., a Cloud). By way of example, status and preference data can be used to train a supervised learning mechanism to allow a computing device to automatically allocate executable code to internal and external computing resources of an Elastic computing environment.

Techniques for assessing the cost of allocation of execution and affecting the allocation of execution are disclosed. The cost of allocation of execution to or between a first computing device (e.g., a mobile device) and one or more computing resource providers (e.g., one or more Clouds) can be determined during runtime of the executable code. It will be appreciated that a computing system can operate independently of the first computing device and one or more computing resource providers and provide execution allocation cost assessment as a service to the first computing device and / or one or more computing resource providers. Execution allocation cost can be assessed (or determined) based on execution allocation data pertaining to the first computing device and / or one or more computing resource providers. By way of example, power consumption of a mobile device can be used as a factor in determining how to allocate individual components of an application program (e.g., weblets) between a mobile phone and a Cloud. The invention is especially suited for Elastic computing environment and systems. In an Elastic computing environment, scalable and dynamic external computing resources can be used in order to effectively extend the computing capabilities beyond that which can be provided by internal computing resources of a computing system or environment.

The invention provides a transmission and transformation project construction cost assessment method and device. The transmission and transformation project construction cost assessment method comprises the following steps: input historical sample data of a transmission and transformation project are received; iterations, inertia weight, learning factors, particle velocity of a chaos particle swarm and the population size of the particle swarm are initialized to build a chaos particle swarm model; according to the chaos particle swarm optimization, parameters of the chaos particle swarm model are optimized; according to the historical sample data and the optimized chaos particle swarm model, optimal values of the iterations, inertia weight and learning factors of the chaos particle swarm model are determined; according to the determined optimal values of the iterations, inertia weight and learning factors, penalty coefficients, insensitive coefficients and kernel function parameters of a least square support vector machine model are determined respectively to build the least square support vector machine model; input actual sample data of the transmission and transformation project are received; according to the actual sample data of the transmission and transformation project and the built least square support vector machine model, a construction cost assessment result of the transmission and transformation project is generated.

A system and method for determining a total ownership cost associated with a complex system (or a component thereof) includes a multi-disciplinary environment including at least one tool, a product data manager, and a total ownership costs assessment tools. The tools in the multi-disciplinary environment are used to gather information regarding the complex system. The product data manager receives the information from the tools and organizes the information as an information model representing the complex system. The total ownership cost assessment tool extracts various system and related scheduling aspects from the information model and determines the total ownership cost associated with the complex system (or the component thereof).

The invention belongs to the field of power grid engineering cost analysis. The invention relates to a power grid project cost assessment method. The method comprises the following steps: sorting influence factor data in power grid engineering cost corresponding to a new technical situation primitive, and carrying out normalization processing; Construction of a sample database, screening key influence factors of the power grid project cost in a sample database based on a principal component analysis method, establishing an explanation structure model of the influence factors of the cost project, constructing a key influence factor system of the power grid project cost based on the explanation structure model, calculating influence weights of the key influence factors by adopting an analytic hierarchy process, and sequencing. According to the method, before principal component analysis is carried out on the power grid project cost data, normalization processing is carried out on the historical project data, initial data are preprocessed, and a guarantee is provided for the accuracy of follow-up data analysis.

Method of and apparatus for processing graphics. A primitive listing and sorting arrangement for a tile-based graphics rendering system in which primitive lists can be prepared for at least two different sets of sub-regions of the render target area. Two or more alternative solutions for listing the primitive for rendering using the sub-regions of at least two of the at least two different sets of sub-regions of the render target area that primitive lists can be prepared for are determined (S62). A cost function is then used to assess the cost of listing the primitive for each determined alternative primitive listing solution (S63) and the primitive listing arrangement to use is then selected based on the cost assessment (S64). A preferred embodiment uses an adaptive cost function that can be modified in use based on analysis of the costs for the primitive listing process actually being experienced in use.

The invention relates to a cost assessment method based on typical cost data of a power grid. According to the method, power grid project cost data collection, classification and storage methods and amethod for rationality evaluation of power grid project cost under similar technical conditions are realized based on analysis and calculation of the collected cost data. The method is simple in control link, easy to implement in engineering and good in control stability.

The invention discloses an engineering cost assessment management system based on big data analysis, and relates to the technical field of engineering cost. The system comprises: a drawing module, which arranges a two-dimensional engineering drawing of a whole building; a BIM module, wherein the BIM model of the whole building is built through the two-dimensional engineering drawing; an estimation module, which is used for calculating the duration of the whole building according to the building BIM model and the building raw material quantity in different stages in the duration; a prediction module, wherein, according to the price of the building raw materials in different stages in the past and the corresponding price fluctuation coefficient, a prediction model is established to predict the fluctuation coefficient of the building raw material price in a certain time period in the building period; and a budgeting module, which is used for performing man-machine material budgeting in the engineering cost according to the prediction data, and budgeting the total cost by combining other costs in the engineering cost, so that the accurate engineering cost is budgeted.

The invention discloses a power equipment maintenance mode risk cost assessment method and device, a terminal and a medium. According to the invention, randomness of equipment faults is considered; historical maintenance records of the to-be-maintained equipment are collected; the set maintenance mode information is combined; a Monte Carlo simulation operation mode is used for simulation operation, and a risk cost evaluation result of the maintenance mode is calculated based on the result of the simulation operation, so that a more objective reference standard is provided for workers to evaluate the maintenance mode, more accurate evaluation judgment is made, and different maintenance modes can be transversely compared according to the risk cost evaluation result so as to determine the optimal maintenance mode. The technical problem that risk cost evaluation of an existing maintenance mode is low in accuracy due to the fact that risk cost evaluation of the existing maintenance mode iseasily affected by subjective experience is solved.

The patent provides a reliable and stable risk assessment result for the improvement of the risk assessment of the FMEA method through the assessment of the severity, occurrence frequency, detection degree, risk control measures and cost and time factors of risk factors. Compared with existing FMEA method risk assessment, risk control measure assessment including risk control measure effect assessment, cost assessment and time assessment is added, and risk control measures which are high in severity, acceptable in control measure time and cost and definite in risk control effect are found, andkey prevention and control are carried out. The improved FMEA method risk assessment is suitable for design of FMEA (or equipment FMEA), technological process FMEA, monitoring and feedback FMEA assessment. The FMEA method risk assessment table can be designed and manufactured into a network database or a stand-alone database, can be designed into a table type table, and can also be a determinanttype risk assessment table.

A method for facilitating in assessing transitional costs in business transformations using a computer-aided organizational design system is provided. The method comprises creating a first organization design model representative of the current organizational design state of an organization using a graphical tool. The method further comprises changing the first organization design model into a second organization design model representative of the organizational design state of the organization after the business transformation. The method further comprises generating a report identifying the transition cost factors and the transition cost of moving from the first organization design model to the second organization design model, wherein the transition cost is determined based on predetermined calculation algorithms or heuristics.

Inputting data necessary for designing an IT system leads a throughput evaluation part to draft a system idea meeting a design standard value for throughput and leads a reliability evaluation part to draft the system idea meeting a design standard value for failure probability. A cost evaluation part evaluates a cost of the system idea, while a cost judgment part judges whether there exists a system idea whose cost evaluated by the cost evaluation part is within an allowable range or not. When the cost judgment part judges that there is no system idea, a reconfiguration part reconfigures the design standard value for throughput, the design standard value for failure probability, and the allowable range of cost in the input data part, and the reconfiguration part carries out calculations repeatedly until there can be drafted a system idea whose cost is within the allowable range.

The invention discloses a city data asset value assessment system and method. Through establishing a city data asset cost assessment model and a city asset income assessment model, city data asset value can be calculated. The related city data and parameter are input into the city data asset value assessment model, and the assessment value of the city data asset value can be obtained. The invention is advantageous in that by combining with the city data asset feature, the city data asset value quantification is conducted, reference can be provided for the data asset value assessment of city industries or fields, and foundation is made for promoting city data asset trade and raising city data operation proficiency.

Apparatus, and an associated method, for determining viability of transformation of a conventional computer system arrangement into a virtualized arrangement. A virtualization engine is provided that includes an assessor and a scorer. The assessor carries out an assessment process, such as a system assessment, a component assessment, and a cost assessment that assesses the viability of the transformation. And, a scorer provides a quantifiable score of the assessment results. The score is used in the decision-making process to decide whether to transform the arrangement into the virtualized arrangement.

A method, apparatus, and computer-usable medium for computing a serviceability assessment, calculating a preventative maintenance assessment, and in response to computing the serviceability and preventative maintenance assessments, computing a projected service cost assessment. A preferred embodiment of the present invention includes a processor, a data bus, and a computer-readable medium including a serviceability assessment tool. The serviceability assessment tool further includes a serviceability assessment module, a hardware installation assessment module, a preventative maintenance assessment module, and a projected service cost assessment module.

The invention discloses an FPSO (Floating Production Storage and Offloading) recycling assessment system, which comprises an input module, a preliminary design module, a risk assessment module, a technical assessment module and a decision module, wherein the input module is used for collecting the data of a new oil field and the design data of the FPSO in the initial operating oil file of the FPSO; the preliminary design module is used for carrying out superstructure preliminary design according to data input by the input module, ship body scale checking, mooring design, superstructure arrangement and an equipment specification; the risk assessment module is used for identifying risks and a seminar and cost assessment result according to a dangerous source distinguishing method; the technical assessment module is used for checking an existing ship situation and assessing and integrating new mooring and superstructure design to carry out lifetime extension assessment; and the decision module is used for concluding initial research, preliminary design, risk assessment and technical assessment results. By use of the system, a situation that a focus of attention is centralized to a problem irrelevant to recycling assessment due to information loss or human factors can be avoided, the criticality of each problem is sorted, the focus of attention is centralized to the key point of the problem, and a decision process is rationalized.

A method, apparatus, and computer-usable medium for computing a serviceability assessment, calculating a preventative maintenance assessment, and in response to computing the serviceability and preventative maintenance assessments, computing a projected service cost assessment. A preferred embodiment of the present invention includes a processor, a data bus, and a computer-readable medium including a serviceability assessment tool. The serviceability assessment tool further includes a serviceability assessment module, a hardware installation assessment module, a preventative maintenance assessment module, and a projected service cost assessment module.

The invention belongs to the technical field of task environment path optimization, and particularly relates to a space-time collaborative path search optimization method and system in task activity threat cost assessment, and the method comprises the steps: rasterizing a space-time comprehensive environment influence model in a space-time prism range where a task can reach in a space-time coordinate system; the space-time unit cubes segmented along the coordinate axis at the same space and time intervals serve as space-time voxels, the geometric centers of the space-time voxels serve as nodes according to the time intervals, and time points at different moments are connected through constant-speed linear motion to construct space-time path sections; screening target space-time voxel center points by adjusting space-time voxel space intervals, and taking a path between each initial space-time point and the corresponding screened target voxel center point as a candidate path; the minimum cost path between the starting time-space point and the target voxel center point in all time periods is searched through path search, and then the task comprehensive threat cost optimal path is obtained, so that the calculation amount can be effectively reduced, and the task path planning efficiency is improved.

The invention relates to the field of engineering cost management, in particular to a building engineering cost evaluation management system based on big data analysis, and the system comprises a building engineering drawing analysis module which is used for achieving the analysis of building engineering drawings, and obtaining the type parameters, size parameters and number parameters of built-in building engineering components; the building engineering quantity analysis module is used for obtaining a corresponding building engineering construction quantity summary sheet; the building material analysis module is used for acquiring a corresponding building material summary sheet; and the building engineering cost evaluation module is used for obtaining the pricing standard of each building engineering construction type and the pricing standard of each building material based on the big data platform, and realizing the evaluation of the cost corresponding to the current building engineering drawing based on a preset algorithm. According to the invention, automatic evaluation and dynamic tracking of the engineering cost data are realized, and the accuracy of the engineering cost evaluation result can be improved while the deviation can be found in time.

The invention discloses an analysis processing method and device, a computer storage medium and a terminal. The analysis processing method comprises the following steps: converting and inputting currently retrieved retrieval information into retrieval judgment information; Determining whether the current retrieval is carried out by adopting an online retrieval mode or not according to the retrieval judgment information through a preset adaptation rule; When it is not determined that the online retrieval mode is adopted for current retrieval through the adaptation rule, a retrieval mode used for current retrieval is determined according to a preset cost assessment strategy; Wherein the retrieval information is used for describing retrieval conditions of a retrieval target; Wherein the retrieval mode comprises one or more of the following retrieval modes: online retrieval and offline retrieval. According to the embodiment of the invention, the usability of a knowledge graph system is improved, and the stability of a retrieval system is enhanced.

The invention discloses a product cost evaluation method and system based on industrial big data. The method comprises the following steps: collecting industrial big data, and extracting product characteristic data, product processing process data and product processing cost data from the industrial big data; inputting the product characteristic data and the product processing process data into arandom forest classification model for training to generate a processing scheme recommendation model; inputting the product processing process data and the product processing cost data into a CART decision tree for training to generate a processing cost prediction model; and performing product cost prediction by using the processing scheme recommendation model and the processing cost prediction model. Product machining efficiency can be improved, and machining cost can be reduced.

The invention relates to a power grid maintenance operation standard cost prediction method based on IPSO, and the method comprises the following steps: collecting the data of historical maintenance operation, and dividing the maintenance operation into different types and specifications; respectively calculating a human standard cost evaluation function fa, a material standard cost evaluation function fb and an equipment standard cost evaluation function fc, and establishing a cost optimization model f1; obtaining completion time boundary values of maintenance operations of various types and specifications through clustering, establishing a completion time evaluation index TI, calculating a sample value, solving a distribution probability P of the time evaluation index TI, and establishing a time efficiency evaluation function: inputting the type and specification of a target maintenance operation, and taking a cost optimization model f1 and the time efficiency evaluation function as target functions f2, and solving a globally optimal solution by adopting an IPSO improved particle swarm algorithm to obtain the standard cost of the target maintenance operation.

The invention discloses a cost assessment method. The method comprises the following steps: obtaining sales volume corresponding to each commodity in a preset time; obtaining the cost card informationof each commodity, and determining the types and use amounts of raw materials for making a single commodity according to the cost card information, the cost card information comprising the types anduse amounts of raw materials for making a single commodity; according to the cost card information of each commodity and the sales volume corresponding to each commodity, determining the theoretical usage amount of each raw material within a preset time; obtaining the actual dosage of each raw material within a preset time; obtaining loss values of the various raw materials according to the theoretical dosages and the actual dosages of the various raw materials; and determining whether each raw material has a cost waste condition or not according to the profit and loss values of each raw material. The invention also discloses a cost assessment system, a terminal and a readable storage medium. According to the technical scheme, the problem that whether various raw materials are wasted or not is difficult to evaluate in the enterprise operation process is solved.

The invention provides an intelligent ocean platform detection system, and the system comprises a monitoring module which is used for monitoring the operation working condition of a preset monitoring node on an ocean platform in real time through preset monitoring equipment, and determining a working condition monitoring result; the cost analysis module is used for carrying out cost analysis on the working condition monitoring result based on a preset cost evaluation index and determining a cost analysis result; and the detection optimization module is used for importing cost analysis results of all monitoring nodes on the ocean platform, detecting the monitoring nodes of which the cost loss exceeds a preset threshold value, and transmitting the corresponding monitoring nodes to a preset control terminal for optimization based on a preset intelligent optimization model.

The invention discloses a unit protein adsorption cost-based ligand use cost assessment method. The method comprises the following steps: acquiring a ligand to be assessed and ligand information; coupling the ligand to be evaluated to the target matrix, and calculating the coupling efficiency of the ligand to be evaluated; performing a static adsorption experiment on the to-be-evaluated ligand, and calculating the specific static saturation adsorption capacity of the to-be-evaluated ligand; carrying out a penetration experiment on the to-be-evaluated ligand, and calculating the specific dynamic adsorption capacity of the to-be-evaluated ligand; calculating the unit protein adsorption cost under the static adsorption condition based on the ligand information, the coupling efficiency and the specific static saturated adsorption capacity, and calculating the unit protein adsorption cost under the dynamic adsorption condition based on the ligand information, the coupling efficiency and the specific dynamic adsorption capacity; based on the unit protein adsorption cost under the static adsorption condition and the unit protein adsorption cost under the dynamic adsorption condition, the influence of the ligand type and density on the use cost is evaluated. The method can effectively help optimization of ligand types and densities in the industrial preparation process of the adsorbent.

The invention discloses a building engineering cost assessment management system based on big data analysis. The system comprises a graph acquisition module, a storage database, a model construction module, an information processing server, a component analysis module, a quality assessment module, a display module and a report module; and is characterized in that the graph acquisition module is in signal connection with a size measurement module; the graph acquisition module scans a construction engineering design drawing and inputs the construction engineering design drawing into the system, the size measurement module is mainly used for measuring the size of the input construction engineering design drawing and is in signal connection with the model construction module, the model building module begins to carry out model building on the measured and marked building design drawing, the model building module is in signal connection with the storage database, the storage database is used for storing and backing up model data, and the information processing server processes and classifies design model framework information of building engineering. The system is high in principle structure and operation efficiency.