98 results about "Cost analysis" patented technology

The invention discloses a construction engineering cost analysis system and method, and particularly relates to the technical field of construction cost behavior monitoring, and the method comprises the following steps: collecting the business information and field process information of an execution stage project, carrying out the field-level matching with a budget detail table, and constructing a data set; performing risk judgment according to the contract plan information and the actual execution information, and judging whether to start a risk identification process; executing multi-dimensional information cross-analysis to identify cost risk symptoms when the conditions are met; calculating dynamically updated first and second risk assessment factors based on the identification result, and inputting the first and second risk assessment factors into a risk assessment model to generate a comprehensive cost risk score; according to the method, accurate matching of the budget information and the execution data is realized, and the real-time sensing capability of the cost data is improved; through a dynamic risk identification and cross analysis mechanism, the early discovery and judgment capability of the cost abnormity is enhanced; and a two-factor evaluation and scoring model is constructed, so that quantitative expression and intelligent early warning of the cost risk are realized.

The invention relates to the technical field of data query, can be applied to business scenes such as financial science and technology and medical health, and discloses a data query statement dynamic generation method and device, equipment and a medium, and the method comprises the steps: receiving query request information, matching business strategies, completing conflict resolution, and generating a target business strategy set; obtaining dynamic context information formed by a database structure, an index, statistical information and a system load; and generating an initial data query statement based on the target business strategy set, the dynamic context information and the query request information, and obtaining an executable data query statement through grammar verification, logic optimization and execution cost analysis. According to the method, service rule analysis, conflict resolution and environment perception are combined, so that the query statement generation process can be adaptively adjusted along with the change of the service rules and the change of the running state of the database, and the accuracy and execution efficiency of query statement generation are improved while the correctness of service logic is kept.

The invention relates to the technical field of cost analysis, in particular to a visual municipal engineering cost analysis system which comprises an interval wireframe construction module, a construction node positioning module, a budget map grid generation module, a node budget linkage module and a map structure display module. According to the method, cost values of construction units are divided according to interval step lengths, sorting and median difference evaluation are introduced, node positioning is performed in combination with a coordinate mapping mode, and a binding relationship between data and space is formed, so that budget information is subjected to partition homing and ordered stacking in a two-dimensional map; the construction unit construction cost distribution, the budget weight and the graph structure are dynamically fused and displayed in a visual interface, the construction unit construction cost and budget change can be quickly and synchronously adjusted by means of a linkage mechanism of a construction interval and graph grid coordinates, and position updating and graph block rearrangement after node addition and deletion are supported. And the data classification statistical efficiency, the node budget positioning precision, the budget adjustment response speed and the integration degree of map information display are improved.

A home cost analysis server for executing a customized home search may include a processor programmed to define a user budget constraint, receive a list of available homes, and determine an initial monthly cost for each home. The processor may also identify one or more additional home costs based on historical insurance claim data. The processor may also display available homes that satisfy the user budget constraint.

The invention relates to the technical field of electronic terminal equipment recovery, in particular to an equipment disassembly action path optimization method and system based on tool switching and action cost analysis. The method comprises the following steps: firstly, constructing a stack structure knowledge graph based on structure information of target equipment, then converting the stack structure graph into a disassembly action graph, and screening out a plurality of feasible disassembly action paths with minimum tool switching as a target through a path search algorithm; further selecting the disassembling action path with the lowest total disassembling cost as the optimal disassembling action path; wherein the total disassembly cost is designed based on related factors of an operator. According to the method, a more scientific and efficient disassembling action path is provided, the human work efficiency and operation comfort of an operator are considered while tool switching and path time are optimized, the fatigue strength of the operator is reduced, and the efficiency and sustainability of disassembling work are improved.

The present disclosure relates to the field of power system optimization scheduling, and particularly relates to a renewable energy power optimization scheduling cost prediction and decomposition method and device and storage medium. The method comprises: obtaining power system operation data, the power system operation data comprising operation data and cost data of multiple renewable energy devices in a power system; determining power optimization scheduling data and cost analysis results according to the power system operation data through a pre-trained target model, the power optimization scheduling data being used to indicate a predicted operation combination scheme of the multiple renewable energy devices with the minimum total system cost, and the cost analysis results comprising a total system cost corresponding to the power optimization scheduling data and / or a cost decomposition result of the total system cost. The present disclosure uses a pre-trained target model to realize the optimization scheduling of a renewable energy power system, accurately predicts and decomposes the cost, and improves the accuracy of power optimization scheduling and cost analysis.

The invention relates to the technical field of power grid project cost management and business intelligence, and discloses a project cost multi-stage intelligent analysis and examination method, system, equipment and medium, and the method comprises the steps: building a power grid project cost data warehouse, and achieving the integration and standardization of multi-source cost data; establishing an OLAP multi-dimensional analysis model, and supporting general cost comparison and key index analysis in a budget calculation stage, feasibility research estimation, preliminary design budget calculation, completion settlement three-calculation comparison, first supply material check and review list consistency check in a settlement stage; designing an intelligent decision engine based on data mining, and generating review opinions through association rules, a classification algorithm and an anomaly detection technology; and a BI visual instrument panel is developed, and multi-dimensional display, real-time monitoring and interactive analysis of the power grid cost data are realized. Through systematic application of the BI technology, deep mining, intelligent decision and visual display of engineering cost analysis are realized, and the efficiency and precision of cost review are remarkably improved.

The utility model relates to the technical field of constructional engineering, and discloses a constructional engineering cost analysis device which comprises a base, the support is fixedly connected to the top of the base; the mounting block is fixedly connected to the top of the bracket; the placing plate is arranged at the top of the mounting block; the mounting frame is fixedly connected to the top of the placing plate; the pull rod is arranged in the mounting frame, and the convex block is fixedly connected to the top of the pull rod; the pressing plate is fixedly connected to the bottom of the pull rod, and the pressing plate is attached to the outer portion of the containing plate; the bottom of the spring is fixedly connected to the outer portion of the pressing plate. According to the utility model, the cost drawing can be conveniently fixed, and when the drawing is fixed, puncture type fixing modes such as drawing nails and paper clips are not needed, so that the operation is simple and convenient, and the cost analysis efficiency is improved.

This invention relates to the fields of aerospace vehicle overall design, and discloses a structured subspace learning-based solid rocket performance-cost analysis method, comprising: constructing a model sample dataset; constructing a structured sparse subspace feature selection model by combining a similarity graph matrix, and solving it to obtain an optimized row sparse orthogonal projection matrix, wherein the row index of the non-zero row corresponds to the feature parameter in the model sample as the selected cost driving factor; constructing a training sample dataset for a surrogate model; calculating the corresponding specific delivery cost as the output response based on the training samples, and training the surrogate model; for each cost driving factor, constructing a prediction sample dataset by random sampling; using a sequential quadratic programming method to find the optimal prediction sample in the prediction sample dataset, and determining the prediction sample with the minimum specific delivery cost as the final solid rocket design scheme.

To analyze the contents of a summary table at a low cost.SOLUTION: A two dimensional table in which a plurality of choices or data contents are arranged in each of a row item and a column item is created on the basis of a recorded form conforming to an extraction condition, the row item being one of record items included in the recorded form and the column item being another one of the record items, and a tabulation table in which a frequency is stored in each of cells where rows and columns intersect is created. A CSV file is created from the created summary table (step 55), and the created CSV file and a processing command statement containing a request to analyze the characteristics of the CSV file are transmitted to the generation and AI device (step 55,61,71).SELECTED DRAWING: Figure 4

The invention discloses a chemical raw material cost analysis method for electroplating product production, particularly relates to the field of electroplating production accounting, and is used for solving the problems that the cost of a single order is distorted and is difficult to correspond to accounting records due to the fact that the cost of electroplating chemical raw materials is roughly shared according to yield or area traditionally. The method comprises the following steps: constructing a time alignment process data set by collecting data from an order process and a dosing process, generating an allocation weight matrix according to time coverage and an electroplating area, and forming chemical raw material cost analysis data according to an order, an electroplating process and a chemical raw material type. And calculating a cost deviation aggregation index and a time coverage imbalance index by using an accounting settlement result to generate a dynamic correction coefficient, and updating an allocation weight matrix in a closed-loop iteration manner, so that the order dimension cost is closer to a real consumption process.

The utility model discloses a portable constructional engineering cost analysis device, which relates to the constructional engineering technical field, and comprises a housing I. The bottom surface of the inner wall of the housing I is fixedly provided with a miniature cabinet, the side wall of the miniature cabinet is rotatably provided with a pillar, the outer wall of the pillar is fixedly provided with a gear I, and the gear I is fixedly provided with a gear II. The outer wall of the first gear is in engaged connection with a first rack, a data analysis screen is fixedly installed at the top of the first rack, and a pulley is slidably installed on the side wall of the data analysis screen. According to the utility model, the data analysis screen is combined with the foldable transparent sliding cover, so that an engineer does not need to frequently switch between a computer screen and a paper record, the analysis continuity is kept, the working efficiency is improved, meanwhile, when the data analysis screen is lifted, the engineer can conveniently carry out touch operation, and when the data analysis screen needs to be displayed, the engineer can conveniently carry out display. And the data analysis screen is lowered and covered by operating the foldable transparent sliding cover, so that the risk of data disorder caused by mistakenly touching the screen by an engineer in the display process is avoided.

A system and method of automated case costing for surgical procedures can include the operations of tracking a real time location of a plurality of staff within a surgery center using wearable tracking devices that monitor the real time location of staff members among the plurality of staff within the surgery center to provide tracked time information, and allocating staffing costs based on actual time spent in an operating room and in other areas of the surgery center including one or more among a waiting room, a Pre-Op area, a recovery area, and a post-recovery area using one or more processors. Such a system can use and integrate with human resources clocking and surgery scheduling software modules.

Video coding (e.g., encoding and / or decoding) may be performed by optimizing a block vector search process. In examples, a device (e.g., a decoder for video decoding) may be configured to obtain a plurality of candidate block vectors (BVs) for a current video block. The device may determine a refinement area associated with a current BV from the plurality of candidate BVs. The refinement area may define BV refinement candidates for the current BV. The device may determine a refined BV, for example, based on a cost analysis. The cost analysis may be applied to (e.g., only) a subset of the BV refinement candidates defined by the refinement area. The device may add the refined BV to a candidate BV list for the current video block.

The invention discloses a full-period multi-constraint-considered optimal design method for an optical storage and oil storage integrated power supply system, and relates to the technical field of design and optimization of a new energy micro-grid system. Firstly, load, climate, economic and technical parameters are input; secondly, establishing an optimization model which takes photovoltaic, energy storage and diesel engine capacity as decision variables, takes minimization of full life cycle leveling cost LCOE as a target function, covers initial investment, operation maintenance, fuel and equipment replacement cost, and takes power supply reliability and equipment operation limitation as constraint conditions; and finally, solving the model by adopting an intelligent optimization algorithm, and outputting optimal configuration. Through full-life-cycle cost analysis and high-precision operation simulation, the design objective of optimal long-term economy of the system is achieved on the premise that power supply reliability is strictly guaranteed, the problems that an existing empirical design method is rough and poor in economy, reliability cannot be quantitatively guaranteed and the like are solved, and the method is particularly suitable for accurate design of a micro-grid in an off-grid area.

This invention discloses a cost-benefit analysis method for the joint operation of distribution network edge resources based on multi-energy complementarity. The cost analysis consists of three parts: initial investment cost, operating cost, and wind power cost. Based on the existing centralized gas heating method, the converted electricity price and subsidy fees are calculated. Finally, by comparing with the existing heating subsidy policy, the benefits of the gas-curtailed wind complementary method are analyzed. The advantages of this invention are: considering factors such as environment, temperature regulation, energy saving, and safety, the gas-curtailed wind complementary heating method has advantages such as low initial investment cost, stable operation, low maintenance, safety and no pollution, and good economic efficiency.

The application discloses a kind of predictive maintenance management systems and methods for environmental sanitation equipment, belong to predictive maintenance management technical field.The system includes data acquisition layer, business logic layer, application layer, the business logic layer is separately connected with data acquisition layer, application layer communication.The data acquisition layer is used to collect the running data of environmental sanitation equipment in the car end;Business logic layer includes life prediction engine, maintenance process engine, inventory linkage engine and cost analysis engine;For processing the data imported by data acquisition layer;Application layer is as the interactive entrance of system and user.The application solves the problems existing in the maintenance management system of existing environmental sanitation equipment, such as unscientific maintenance strategy, low efficiency of management process and lack of decision support capability, and builds a closed-loop, intelligent maintenance management ecosystem.

The invention provides a server instance cost optimization system, and relates to the technical field of resource optimization. In the application, the cost optimization system comprises a data acquisition module, a data fusion module, a utilization rate analysis module, a cost analysis module and an optimization suggestion module. Through the cost optimization system, the data fusion module fuses the data of each dimension, so that the problem that the cost analysis is difficult to comprehensively reflect the actual resource efficiency due to the data of a single source is solved, the cost analysis of the server instance based on each analysis dimension is realized, the cross-business and cross-department cost analysis is realized, and the efficiency of the server instance is improved. The optimization suggestion module is determined based on the resource dimension and the budget dimension, so that the accuracy and practicability of the cost optimization suggestion are ensured, resource waste and budget hyper-branched can be avoided, early warning of the server instance and optimization of resources and cost corresponding to the server instance can be realized based on the cost optimization suggestion, and the user experience is improved. And thus, refined cost control of the server instance is realized.

The invention relates to the field of aerospace craft overall design and the like, and discloses a solid rocket performance-cost analysis method based on structured subspace learning, which comprises the following steps: constructing a model sample data set, constructing a structured sparse subspace feature selection model in combination with a similarity graph matrix, and solving to obtain a model sample data set; obtaining an optimized row sparse orthogonal projection matrix, wherein a characteristic parameter corresponding to a row index of a non-zero row in a model sample is a screened cost driving factor; constructing a training sample data set of the agent model, calculating a corresponding specific delivery cost as an output response based on a training sample, and training the agent model; and for each cost driving factor, a prediction sample data set is constructed through a random sampling method, optimization is carried out in the prediction sample data set by adopting a sequential quadratic programming method, and a prediction sample with the minimum specific delivery cost is determined as a final solid rocket design scheme.

The invention provides a cost analysis method, device and equipment, a storage medium and a program product, and relates to the technical field of project cost, the method comprises the following steps: obtaining a candidate system set meeting user project requirements, the candidate system set comprising a plurality of candidate systems provided for user projects; obtaining a to-be-evaluated price of the candidate system according to a price evaluation model and the current price of the candidate system, the price evaluation model being used for performing alignment processing on the current price on at least one of a brand, a region, a purchasing mode and time; evaluating the candidate system on at least two dimensions of a technical dimension, a performance dimension, a historical use frequency dimension and a price dimension to obtain a multi-dimensional evaluation result; and selecting a target system from the candidate system set according to the to-be-evaluated price and / or the multi-dimensional evaluation result, and according to the scheme of the invention, the project cost scheme can be intelligently recommended.

The invention discloses a data distribution strategy generation method, device and system based on an association cluster and a medium, and the method comprises the steps: collecting historical SQL statements of a source centralized database, and extracting corresponding inter-table association information according to the historical SQL statements; constructing a corresponding association graph according to the association information between the tables, and performing graph clustering processing on the association graph to obtain a plurality of strong association table clusters; performing fragmentation key compatibility analysis and fragmentation cost analysis on each strong association table cluster, and generating a joint distribution strategy of each strong association table cluster according to an analysis result; according to the reference features of the remaining non-cluster table, a corresponding supplementary distribution strategy is confirmed; and outputting a table establishment script of the target distributed database according to the joint distribution strategy and the supplementary distribution strategy. The corresponding distribution strategy is automatically generated based on association cluster joint optimization, so that the cross-fragment operation of the distributed database during association is reduced, and the association performance of the distributed database and the service operation efficiency are improved.

The invention discloses a hydraulic engineering cost intelligent analysis and evaluation system, and belongs to the technical field of hydraulic engineering construction management and cost control. The hydraulic engineering cost intelligent analysis and evaluation system realizes intelligent analysis and evaluation of hydraulic engineering cost through the following steps: establishing a unified data specification, and realizing intelligent fusion and real-time updating of multi-source heterogeneous data; engineering quantity automatic calculation is executed, and a detailed engineering quantity list is generated; multi-dimensional dynamic cost analysis and prediction are realized, and a cost prediction result is output; establishing a dynamic risk monitoring and early warning mechanism; monitoring a risk change trend in real time and generating a risk assessment report; the balance optimization of the construction cost and the resource allocation is realized; generating an optimal decision scheme; and adjusting a project implementation strategy according to the optimal decision scheme, and continuously updating project data through the data integration standardization module to form closed-loop optimization control until the project cost reaches a preset optimization target.

The invention relates to an intelligent calculation platform for a photovoltaic support, and the platform comprises an interaction module which is used for enabling a user to input basic information needed by the design calculation of the photovoltaic support and a design standard needed to be adopted, and displaying a design calculation result of the photovoltaic support to the user; and the data calculation processing module is used for carrying out mechanical and cost single modeling analysis calculation on the photovoltaic support according to the basic information and the design standard, or carrying out iterative optimization design calculation so as to obtain a design calculation result of the photovoltaic support. According to the method, the design calculation of the photovoltaic bracket can be quickly performed, so that the design scheme of the photovoltaic bracket can be quickly obtained, the design time can be shortened, and the design efficiency can be improved.

This invention belongs to the field of power system planning and operation, and particularly relates to a method and system for optimizing the coordinated capacity configuration of flexible DC converter stations and reactive power compensation devices. It includes constructing a flexible DC interconnection model and establishing a flexible DC converter station... P - Q The coupling characteristic curve is calculated. Based on the real-time reactive power demand of the system and the dynamic response weight of the flexible DC-DC converter station, the equivalent substitution coefficient of the flexible DC-DC interconnection for the traditional reactive power compensation device is calculated. Using the marginal cost analysis method, the marginal impact index of active and reactive power regulation demand on the overall net benefit of the system is calculated, and it is determined whether the flexible DC-DC interconnection device alone can meet the system's reactive power demand. If not, the reactive power gap is calculated and the traditional reactive power compensation device is configured. If it meets the demand, the optimal capacity configuration result of the flexible DC-DC converter station and the reactive power compensation device is obtained by maximizing the overall net benefit function of the system. This invention significantly improves the utilization rate of power electronic assets and the economy of power grid construction while ensuring the transient security support of the power grid.

This invention relates to an intelligent decision-making system and method for linens based on multi-source data fusion in the fields of industrial IoT, big data analytics, and asset management. The system comprises: a sensing and data acquisition layer that collects multi-source data in real time; an edge processing and communication layer that processes the multi-source data and outputs standardized data packets; a cloud-based data fusion and analysis center that receives and stores data, creating a digital twin for each piece of linen, and performing mining analysis on the digital twin cluster and real-time data stream to calculate key operational indicators; and an intelligent decision-making and optimization layer that dynamically generates optimal linen allocation plans and delivery routes for future cycles, outputs washing program suggestions, periodically assesses the remaining lifespan index of each linen digital twin, and generates cost analysis reports. This invention significantly reduces reliance on human experience, improves overall operational efficiency and economic benefits, achieves refined cost and process control, empowers full lifecycle value management of assets, and revolutionizes asset management transparency.

The invention discloses a breeding housekeeper desk calendar, and belongs to the technical field of animal husbandry and veterinary management tools. The desk calendar comprises a desk calendar body, the desk calendar body is composed of a plurality of monthly calendar pages, the monthly calendar page of each month is provided with a female animal expected date-of-birth management table, the table comprises a female animal number column, a mating date column, a pre-birth date column and a remark column, the pre-birth date column is pre-printed with a pre-birth date calculated on the basis of the mating date and the average pregnancy day number of corresponding livestock, and the remark column is printed on the pre-birth date column. The reminding is printed by red characters; the side edge of each monthly calendar page is provided with a small ear protruding out of the page, and each small ear is printed with a one-month farrowing female animal head number gathering column; the desk calendar is further provided with a material plan table, a cost accounting table, a profit calculation table and a sales statistical analysis table in a matched mode. The system integrates expected date-of-production query, material planning, cost analysis and accounting, profit analysis and sales statistical analysis, is simple in structure and convenient to use, comprehensively covers each link of breeding operation, and effectively improves the management efficiency and decision support capability.

The invention belongs to the technical field of industrial data analysis, and discloses an intelligent engineering cost evaluation method and system based on data analysis, and the method comprises the steps: collecting engineering related data, carrying out the structural analysis of the engineering related data, and disassembling the engineering related data into element blocks containing element attribute vectors; identifying different cost trigger factors based on the element blocks, and constructing a sensitivity vector and corresponding change intensity for each cost trigger factor according to a preset engineering specification to form a sensitivity matrix of the influence of the cost trigger factors on engineering nodes; according to a preset project subitem structure, a construction sequence and a cost rule, constructing a dependency relationship matrix between project nodes, and describing an influence link generated by structural association between the project nodes; based on the element blocks, the sensitivity matrix and the dependency relationship matrix, performing sectional deduction on the total cost of each project node; and the accuracy, the stability and the automation level of engineering cost analysis are improved.

The invention discloses a salary allocation system and method based on a rule engine, and the system comprises a rule configuration layer which is used for providing a visual interface and supporting a user to define, modify and manage an allocation rule; the rule engine layer is used for analyzing and executing rules and driving apportionment calculation; the data service layer is used for integrating enterprise human resources, financial accounting and project management data; and the execution control layer is used for scheduling task flows, monitoring execution states and processing exceptions. According to the invention, accurate and automatic allocation of costs such as employee salary to different research and development projects and company projects is realized through an accurate business rule engine and data processing capability in the whole process from man-hour data and project acknowledgement data to financial vouchers, so that the financial accounting efficiency is improved, the accuracy of cost analysis is enhanced, and the economic benefit is improved. And a reliable data basis is provided for project profit analysis in enterprise management.

The invention relates to the technical field of building information management, in particular to a building engineering cost analysis method and system based on big data, and the method comprises the following steps: obtaining component plan and resource measurement data, screening resource labels in a time window, matching construction behaviors, building a binding path table, extracting measurement data, and analyzing an input difference; according to the method, the accurate corresponding relation between the resources and the components is established through grouping association of the component operation time and the resource labels, the traceability of the resource data is improved, the resource use link is positioned in combination with the construction path overlapping relation, and the construction cost estimation efficiency is improved. The space-time response capability of resource configuration is enhanced, key nodes are identified based on resource input fluctuation, the scheduling rhythm adaptability is improved, through mapping of resources and component structures, the structured expression of resource consumption is enhanced, the average resource consumption of unit components in a region is extracted, and the estimated granularity and structural logic are enhanced.

The application provides a deep learning-based building engineering cost analysis method and system, and relates to the technical field of machine learning. The application acquires historical engineering change cost data sets by collecting original size parameters of original building components and changed size parameters of changed building components after the original building components are changed. The application obtains comparison similarity based on the original size parameters and the changed size parameters. The application obtains cost adjustment rules through deep learning. The application obtains feature quantization vectors based on size parameter differences and cost adjustment amplitudes in target historical change cases. The application obtains cost adjustment coefficients based on the cost adjustment rules. The application extracts historical benchmark costs corresponding to the original building components from the target historical change cases to calculate building engineering changed costs, thereby realizing accurate, efficient and automatic calculation of building engineering changed costs.