115 results about "Cost index" patented technology

The Automated Healthcare Risk Management System is a real-time Software as a Service application which interfaces and assists investigators, law enforcement and risk management analysts by focusing their efforts on the highest risk and highest value healthcare payments. The system's Risk Management design utilizes real-time Predictive Models, a Provider Cost Index, Edit Analytics, Strategy Management, a Managed Learning Environment, Contact Management, Forensic GUI, Case Management and Reporting System for individually targeting, identifying and preventing fraud, abuse, waste and errors prior to payment. The Automated Healthcare Risk Management System analyzes hundreds of millions of transactions and automatically takes actions such as declining or queuing a suspect payment. Claim payment risk is optimally prioritized through a Managed Learning environment, from high risk to low risk for efficient resolution by investigators.

A method of optimizing a flight plan of an aircraft used in a flight management system of an aircraft is disclosed. This method makes it possible to constrain the real cost index of the mission executed to the optimal cost index CI_opt predetermined by the aircraft operator, by acting on objectives ETA_opt and EFOB_opt of values of ETA and of EFOB to be achieved. Objectives are linked to this optimal cost index, in order to make the system return from a cost index CI_m to the optimal cost index CI_opt, while taking account of various constraints imposed by the ATC or the CTFM. Both constraints m_ext influence the cost index and constraints which limit the field of possible solutions.

The invention discloses a cost index analysis method, comprising the following steps: S1, establishing an index analysis rule base; S2: obtaining basic information and the general characteristics of a case project by a project management module and introducing an XML document of the case project; S3: with an index analysis module, matching a newly-built index project with the index analysis rule base, carrying out calculation to obtain a cost index analysis result of the a newly-built index project, and displaying an index analysis result file; and S4, outputting the cost index analysis result by an output module. In addition, the invention also discloses a cost index analysis system. With the system and the method, the efficiency of analyzing an index by the cost staff can be improved and index data sharing can be realized.

The invention relates to a moving horizon method-based multi-unmanned aerial vehicle cooperative attack task allocation method and belongs to the multi-unmanned aerial vehicle coordinated control technical field. The method includes the following steps that: the ability function of unmanned aerial vehicles is established, a calculation method of a multi-unmanned aerial vehicle cooperative attack position is provided through the jacobian matrix of the ability function; a unmanned aerial vehicle damage cost index function, a voyage cost index function and a multi-unmanned aerial vehicle cooperative task assignment model are established; and a moving horizon method is utilized to model a maneuver decision-making problem into an optimized control problem, and a whole maneuver target approach process is discretized temporally and spatially, optimal maneuver strategies can be solved piecewise, and an optimal decision-making method for a multi-unmanned aerial vehicle cooperative attack task can be provided. With the horizon method-based multi-unmanned aerial vehicle cooperative attack task allocation method of the invention adopted, a higher target gain value and damage efficiency can be obtained, and multi-unmanned aerial vehicle cooperative attack ability can be improved.

The invention relates to a method for optimizing the flight of an aircraft comprising a flight management system, the said flight management system using a first cost index (CI₁) and calculating a first speed setpoint (V₁) on the basis of the first cost index (CI₁), the said flight management system calculating (11), furthermore, a first prediction of remaining flight time (T₁) and a first prediction of fuel consumption (EFOB₁) on the basis of the first speed, the said method being characterized in that it comprises, furthermore, the following steps:

• • the selection of a second cost index (CI₂),
  • the calculation (12) by the flight management system of a second speed setpoint (V₂) on the basis of the second cost index (CI₂), of a second prediction of remaining flight time (T₂) and of a second prediction of consumption (EFOB₂) on the basis of the second speed (V₂),
  • the calculation (13) of a discrepancy (ΔV) between the first and the second speed, of a discrepancy (ΔT) between the first prediction of remaining flight time and the second prediction of remaining flight time and of a discrepancy (ΔEFOB) between the first and the second prediction of consumption,
  • the displaying (14) of the discrepancies (ΔV,ΔT,ΔEFOB) calculated in the previous step.

The invention allows vice versa the calculation and the consideration of a CI on the basis of the speed entered.

Systems and methods for flight management are provided. One flight control system is provided that includes a flight management system configured to manage aircraft flight control including at least one of a flight path or an altitude for an aircraft. The flight control system also includes a flight parameter selection module configured to determine a Cost Index (CI) and cruising altitude for use by the flight management system to manage the aircraft flight control, wherein the determination is based on a flight cost and predicted weather along the flight path.

The computerized method for identifying Hammerstein models is a method in which the linear dynamic part is modeled by a space-state model and the static nonlinear part is modeled using a radial basis function neural network (RBFNN). Accurate identification of a Hammerstein model requires that output error between the actual and estimated systems be minimized. Thus, the problem of identification is an optimization problem. A hybrid algorithm, based on least mean square (LMS) principles and the Subspace Identification Method (SIM) is developed for the identification of the Hammerstein model. LMS is a gradient-based optimization algorithm that searches for optimal solutions in the negative direction of the gradient of a cost index. In the method, LMS is used for estimating the parameters of the RBFNN. For estimation of state-space matrices, the N4SID algorithm for subspace identification is used.

A method and apparatus for calculating a cost index in a communication network. In one embodiment, a plurality of first cost factors associated with a first set of network elements is obtained. Subsequently, a plurality of second cost factors associated with a second set of network elements is obtained. A first cost index is then determined based on the plurality of first cost factors associated with the first set of network elements. Similarly, a second cost index is determined based on the plurality of second cost factors associated with the second set of network elements. Afterwards, the first cost index is compared to the second cost index to determine a point in time when a service provider should minimize new investment in the first set of network elements.

The invention provides a construction cost data management system. The construction cost data management system is a service-oriented system structure based on a Java EE platform. The interface specification of the construction cost data management system is the Web Service interface specification. The construction cost data management system comprises a settlement audit plan module, a settlement audit charge module, a settlement audit module and a monthly audit result summary module. The settlement audit plan module is used for importing and exporting of a settlement audit plan. The settlement audit charge module is used for inputting of completion settlement audit data, maintenance of the completion settlement audit data, downloading of the completion settlement audit data and exporting of a charge situation report. The settlement audit module is used for auditing of "settlement audit experts", management of the settlement performing situation and management of the auditing result. The monthly audit result summary module is used for generating a monthly situation summary report and outputting a self-defined report, configuration management and improving the source of construction cost indexes.

The invention relates to a method and device for discovering low performance structural query language (SQL) statements, and a method and device for forecasting SQL statement performance. The method for discovering the low performance SQL statements comprises the steps of tracking executory costs and related cost index of SQL statements; and on the basis of the historical data of the tracked executory costs and the related cost index of the SQL statements, forecasting the dynamic thresholds of the costs of the SQL statements, so as to discover the low performance SQL statements on the basis of the executory costs at a particular moment and the corresponding forecast cost thresholds of the SQL statements. By using the method and the device provided by the invention, the low performance SQL statements in a database can be discovered efficiently.

The invention discloses an emergency plan evaluation method based on an improved TOPSIS method, which relates to the technical field of emergency plan evaluation and analysis. This method takes the emergency plan of water pollution accident as the research object and takes the emergency plan of water pollution accident as the research object, Based on the benefit index and cost index, the evaluation system is established, and the optimal emergency plan for water pollution emergencies is determined by the improved TOPSIS method.In the determination of index weights, the combination of AHP method and entropy method can get more reasonable and accurate index weights. Therefore, the evaluation method provided by the invention can provide better guidance for determining a more reasonable, scientific and effective optimal emergency plan. It solves the problem that the existing emergency plan research is mainly to study the preparation of the plan and recommendations, but can not determine the optimal plan, and provides technical support for better response to sudden environmental pollution events.

The invention discloses a function optimization method for a city water-supply pipe network, which is characterized by comprising the following steps of: establishing an operation information system database of a town water-supply pipe network according to the current situation information of a city water-supply pipe network for hydraulic computation; calculating the cost index, the function index and the value index of the water-supply pipe network with the function of the water-supply pipe network as a unit; and carrying out evaluation on the integral performance and the assemblies of the water-supply pipe network with the value index as a reference, and obtaining a function optimization scheme of the pipe network according to an evaluation result to further realize energy-saving operation and water-saving operation of the pipe network. The invention provides an optimization method for saving energy and reducing consumption for city water resources, supplying water with low carbon, enhancing the utilization ratio of the city water resources and promoting the sustainable development for the city water resources and has higher practical value.

The invention discloses a determining method of the criticality of a fault mode of a rail transit vehicle component. The determining method of the criticality of the fault mode of the rail transit vehicle component comprises the following steps that firstly, estimation scales of risk factors of the fault mode of the rail transit vehicle component are built; secondly, K analysis members are selected for carrying out fuzzy evaluation on the risk factors of the fault mode of the selected vehicle component, a fuzzy decision matrix of the risk factors is obtained, and clear values of the risk factors of the fault mode are obtained according to the gravity center defuzzification method; then a positive ideal solution and a negative ideal solution of the risk factors of the fault mode are determined according to cost indexes of the risk factors, and an optimal solution and a worst solution of the fault mode are obtained; finally, the criticality value of the fault mode is determined according to the optimal solution and the worst solution, and the criticality of the fault mode is determined according to the relation between the criticality value and the optimal solution value and the relation between the criticality value and the worst solution value. The method is combined with the fuzzy theory and the multi-attribute VIKOR decision-making method to determine the criticality of the fault mode, the steps are simple, calculation is small, and the multi-attribute decision-making in the evaluation of the criticality of the fault mode is achieved.

The invention discloses an ore dressing production index visual analysis system based on Internet-of-things and industrial cloud and a method thereof. The system comprises a production index data acquiring unit, a production index configuring unit, a production index managing unit, a production index visualizing unit, a production index analyzing unit and an abnormity alarming unit, wherein the production index data acquiring unit is used for acquiring ore dressing production full-process production index data which comprise a quality index, a metering index, an energy index, a technological index, a cost index and an equipment operation statistics index and stores the data into a local database. The system and the method according to the invention realize configuration management, visualanalysis and abnormity processing on the ore dressing production index, and furthermore realize a purpose of improving effectiveness degree of ore dressing important production index visual analysis.

The invention discloses a power grid planning method based on comprehensive assessment. On the basis of quantitative analysis of a power supply reliability index, a power comprehensive cost index and the power grid safety index, the method comprises the steps: building a power grid planning mathematic model based on comprehensive assessment; carrying out the quantitative calculation of a power grid planning design from three aspects: power supply reliability, economical performances and safety, thereby achieving the more objective comparison, selection and optimization of the power grid planning design scheme, preventing the subjective factors of a decision maker from causing adverse effects on the power grid planning, enabling the power grid planning to balance the power supply reliability and the economical performance more reasonably on the basis of guaranteeing the safety, and improving the economic benefits and social benefits of power grid investment.

A cost index calculation research and application system, the system is composed of a business layer, a presentation layer, and a data layer. This system can realize the informatization of production project declaration; realize the fast and accurate calculation of cost indicators for non-technical and economic professionals; realize the organic combination of various cost calculation standard resources; realize multi-dimensional display and all-round application of engineering business data and reduce project maintenance costs.

The invention discloses an index fast estimation method comprising the following steps: S1, an index base module acquires data of historical cases, and stores the data in a structured manner to form an index base; S2, a project management module decomposes a proposed project in the form of a tree structure to get a single construction of the proposed project, and stores the data of the single construction in a structured manner; S3, a retrieval module matches an index base for the proposed project according to key content, and gets similar case indexes most similar to the proposed project in the index base through calculation; S4, a storage module stores the data of the similar case indexes in a structured manner; and S5, an estimation adjustment module adjusts the similar case indexes according to the actual situation of the proposed project, and determines the cost indexes of the proposed project. The invention further discloses an index fast estimation system. Case index data sharing and matching and index-based fast evaluation are realized.

The invention belongs to the technical field of power grid engineering and in particular relates to a method for constructing a distribution network engineering cost data analysis model. The method includes the following steps of: 1) establishing a distribution network engineering cost data storage system based on a web service platform, wherein the storage system a distribution network engineering cost analysis system data module; 2) establishing a cost data element system within the cost data storage system; and 3) establishing a distribution network cost index mathematical model by using aBP neural network in a big data analysis method. The method, by establishing the distribution network engineering cost data storage system, helps technicians quickly determine cost by the big data analysis method, and improves service analysis depth and efficiency of.

The invention discloses an inner-enterprise ration method. The method comprises: S1, S1: obtaining inner-enterprise norm cost elements and establishing an inner-enterprise quota database system; S2: establishing a new measurement and calculation project and matching the measurement and calculation with an enterprise cost element price library and a typical inventory consumption base to obtain a cost summary sheet of the measurement and calculation project; S3, determining a pre-bidding measurement and calculation result and a target responsibility cost calculation result; and S4: according to a cost index analysis system, carrying out index analysis reliability on the pre-bidding measurement and calculation result and the target responsibility cost calculation result. In addition, the invention also discloses an inner-enterprise ration system including a user foreground module and a management background module; and the user foreground module consists of an enterprise cost element price library, a typical inventory consumption base, and a functional application module. According to the method and system disclosed by the invention, the manpower and resources that need to be taken for the centralized staffing quota of the enterprise can be reduced; and the investment and cost can be reduced.

A power transmission and transformation project cost overall process management platform comprises a cost overall information and data management, cost index management and cost statistics. Applications of the platform realize power transmission and transformation project cost overall process information and data collection and analysis informatization management, optimize cost management modes, and improve cost management work efficiency and quality. Power transmission and transformation project cost index intelligentized submitting and analysis can be realized. The platform is suitable for needs of cost analysis data collection for the state power grid corporation annually, improves the cost index collection and submitting work efficiency, and reduces the workload of technical economic staff.

A method for determining the quantity of fuel in an aircraft and an optimization criterion such as a cost index, notably used in an FMS, making it possible to maintain a time requirement of the RTA type, comprising a first step of computing the optimization criterion CI_i as a function of the aircraft weight GW_i-1 via a method of the RTA type and a second step of computing the weight of the aircraft GW_i as a function of the optimization criterion C_i-1 computed in the first computation step and the aircraft weight GW_i-1, executed by successive iterations, until the estimated flight time resulting from the computed parameters after the second computation step makes it possible to observe the time requirement to within a determined criterion δt, a last step determining the pair of values of aircraft weight GWand of performance criterion CI_i-1 allowing an optimal fuel payload and the maintenance of the RTA.

A construction method of a house cost performance evaluation model comprises the following steps: 1) collecting corresponding index sets of the house cost performance evaluation model, wherein the corresponding index sets comprise a house dwelling effective index set A and a house dwelling cost index set B, and the house dwelling effective index set A comprises a house type performance evaluation index set, a building group performance evaluation index set and a location impact evaluation index set; 2) performing nondimensionalization on the house dwelling effective index set A; respectively performing weight totaling and combining on the house dwelling cost index set B and the house dwelling effective index set A after nondimensionalization to obtain values of the house dwelling cost index set B and the house dwelling effective index set A, which are subjected to weight totaling and combining; 3) constructing the house cost performance evaluation model according to the values of the house dwelling cost index set B and the house dwelling effective index set A, which are subjected to weight totaling and combining. The house cost performance can be evaluated objectively and scientifically.

The invention discloses a BIM project material and project cost statistical method. The method comprises the following steps: adding corresponding material attributes to each component of a three-dimensional model; uploading a historical engineering cost list to a material center; collecting engineering cost information; giving a weight value to each construction cost index in the construction cost information, and storing the weight values into a database; processing each engineering component in the database and then constructing a cost model; inputting each component attribute into a cost model to obtain a cost prediction value; and superposing the construction cost prediction values of the components to obtain the final project construction cost. According to the method, the cost modelis constructed in the historical engineering cost list of the material center, the similar cost model is identified by using the fuzzy identification technology and the three-dimensional model is input to obtain the specific cost of the three-dimensional model, the building scheme is modified at any time, the engineering quantity and the cost are output, the advantages and disadvantages of the schemes are compared, and the investment is saved; and the most beneficial and most economical scheme is selected.