175 results about "Cost analysis" patented technology

The invention relates to the technical field of industrial equipment predictive maintenance and asset management, in particular to a machine vision equipment operation and maintenance cost analysis intelligent management method, which comprises the following steps of: acquiring equipment operation state, external environment and historical operation and maintenance work order data through a sensor group and an equipment log interface, and fusing and removing redundancy to form a multi-source data stream; static and dynamic features are extracted by using a pre-trained health state evaluation model and fused by means of an attention mechanism, and a real-time health state index in a 0-1 interval is output; constructing a dynamic cost prediction model, taking health related parameters, spare parts, manpower and depreciation cost as input, and predicting expected operation and maintenance cost of a specific time window in the future; establishing an optimization decision model by taking minimization of the total operation and maintenance cost and maximization of the equipment availability rate as double targets, and generating an optimal maintenance, spare part purchasing and scheduling scheme; and executing the scheme and acquiring actual data, comparing the actual data with a predicted value for feedback, and iteratively optimizing the core model. The operation and maintenance management accuracy and economy are improved, and the method is suitable for intelligent operation and maintenance of the machine vision equipment.

The invention discloses an unmanned aerial vehicle autonomous address selection method based on terrain evaluation and approach cost analysis, and relates to the technical field of unmanned aerial vehicle autonomous address selection. After the unmanned aerial vehicle receives a landing instruction in an unknown environment, the geometric safety of the terrain and the cost problem of the approach path can be comprehensively considered, and the landing point selection strategy of the unmanned aerial vehicle is optimized from the global perspective. Firstly, semantic segmentation is performed on an RGB image acquired by a visual sensor through deep learning to acquire a semantic image, then point cloud data acquired by a laser radar and the semantic image are fused to acquire a three-dimensional semantic point cloud, and a terrain safety area conforming to terrain geometric feature constraints is screened out on the basis of considering semantic tags. And finally, calculating the cost of the linear approach path of each candidate landing point in the terrain safety area through traversal, and screening out the landing point with the optimal comprehensive cost, thereby improving the accuracy and practicability of terrain safety area identification. According to the method, an unreachable or high-risk area is avoided, and the global point selection optimization effect is improved.

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 provides a comprehensive evaluation method, system and device based on single coke quality and mixed coke use and a readable storage medium, and the method comprises the steps: constructing a multi-layer progressive evaluation system from single coke quality evaluation to mixed coke performance prediction, and then to economical efficiency dynamic optimization; performing quantitative evaluation on the quality of the single coke through the basic evaluation layer to obtain a quality index; predicting a synergistic effect of various coke proportions through the mixing performance layer, and determining a mixing performance index; performing cost analysis on the proportioning scheme by combining an economic evaluation layer with price fluctuation to obtain a cost performance index; and a plurality of matching schemes are generated through the dynamic optimization layer, and an optimal solution meeting balance of quality, performance and cost is output.

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.

The invention discloses a power grid frequency coordinated regulation and control method and device based on coordination of three defense lines, and the method comprises the steps: carrying out the control cost analysis, constructing an interconnected power grid active frequency response model based on the control cost analysis, and building an active frequency response control strategy of coordination of the three defense lines on this basis, wherein the three defensive lines comprise prevention control, emergency control and correction control, and finally, a target function is constructed by taking the minimum total cost of the three stages of prevention control, emergency control and correction control as a target, so that the optimization space for coordinated operation of the three defensive lines for power system frequency stability is improved, and the control target of safety and economy coordination is further realized. The relationship between the control cost and the system frequency safety is coordinated, and the purpose of safe and economic cooperative control of the alternating-current and direct-current hybrid system for the frequency stability problem is achieved.

The invention discloses an electric power engineering cost visualization method based on big data processing, and relates to the technical field of electric power engineering, and the method comprises the steps: obtaining electric power engineering multi-source data, and loading a pre-constructed electric power engineering three-dimensional model as a visualization carrier; based on the electric power engineering multi-source data, key entities and cost association relationships are extracted according to project types to construct a cost knowledge graph; according to the cost knowledge graph and the industry specification database, generating a cost analysis result through graph association mining and specification verification; through a hierarchical dynamic mapping algorithm, performing semantic structuring processing on the cost analysis result according to a plurality of hierarchies of a project population, sub-project and equipment parts, and binding with spatial positions of components of corresponding hierarchies in the three-dimensional model of the electric power project to generate a visual mapping result; and in response to the multi-modal interaction instruction, positioning a target component in the three-dimensional model of the electric power engineering based on the sight line of the user, and displaying a cost analysis result constructed with the target component.

The invention relates to the field of engineering construction, in particular to a construction cost analysis system and method based on big data. The method comprises the following steps: acquiring multi-modal construction data in a system, sequentially performing data preprocessing and standardization on the multi-modal construction data, aligning texts and numerical values in the initial multi-modal construction data, constructing a knowledge graph by using aligned text numerical value data and image spatio-temporal data, and connecting an LSTM-GRU hybrid network with an HMM hidden Markov model. The method comprises the following steps: establishing a construction cost prediction model, adding a space-time attention mechanism in the model, inputting feature multi-modal construction data into the model for prediction, iterating model training through a PPO algorithm, and carrying out unified scheduling management on materials and manpower in a construction project based on a minimum cost path and a risk plan library. Key space-time regions can be dynamically focused, so that the spatial resolution of a prediction result is improved to a section level, and a basis is provided for accurate scheduling.

The invention discloses a multi-dimensional Internet data center cost analysis system and analysis method, and the method comprises the steps: building a data interface platform, carrying out the butt joint with a data source, and automatically collecting multi-dimensional cost data; establishing a multi-level data aggregation model based on a time sequence, and performing data integration according to a plurality of analysis dimensions; a hierarchical calculation engine is adopted, derivative indexes are obtained through further calculation according to the basic indexes, cost allocation results and related data are obtained through calculation of the derivative indexes, and the results are visually displayed; according to the method, automatic acquisition, multi-dimensional integration, precise calculation and visual display of the IDC cost are realized based on an intelligent fusion technology of multi-source heterogeneous data and multiple dimensions of business rules, and powerful decision support is provided for IDC operation management.

The invention belongs to the technical field of data analysis, and discloses a petroleum cost analysis method and system based on data analysis. The method comprises the following steps: collecting real-time full-life-cycle data of a petroleum project, and extracting real-time multi-dimensional cost data in the real-time full-life-cycle data; performing petroleum cost analysis by using a petroleum cost analysis model according to the real-time multi-dimensional cost data to obtain a real-time petroleum cost analysis result; and generating a project optimization strategy by using the project optimization model according to a real-time petroleum cost analysis result to obtain a real-time project optimization strategy. The method solves the problems of data acquisition lagging and fragmentation, lack of real-time performance and integrity, single cost dimension, insufficient analysis depth, extensive analysis method, low prediction precision, lack of dynamic optimization decision support and difficulty in coping with uncertainty in the prior art.

The present application belongs to the technical field of energy storage economic benefit evaluation, and aims to provide support for new energy storage investment strategies for the future form of power grids. Specifically, a whole life cycle cost evaluation method of energy storage technology suitable for multi-dimensional scenarios is provided, which comprehensively evaluates the economy of different energy storage technologies. The method considers multiple life cycle cost factors such as capital expenditure, operating cost, end-of-life cost and charging cost, and combines energy power ratio (E / P), terrain adaptability and different power application scenarios to simulate and quantify the uncertainty of cost parameters using a Monte Carlo prediction model, and predict the future trend of energy storage technology cost. Finally, intuitive evaluation is performed through detailed cost analysis and the constructed superimposed visualization method. The present application provides scientific decision support for power system planning and energy storage technology investment, and has significant practical value and theoretical significance.

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 utility model discloses a flow measuring device which comprises a first flow meter, a second flow meter and a flow monitoring device which are arranged in a pipeline, the measuring range of the first flow meter is larger than that of the second flow meter, the flow monitoring device is used for detecting the flow in the pipeline, and a preset value is set in the flow monitoring device. The preset value is smaller than the measuring range of the first flowmeter; the flow monitoring device has two states, when the actual flow in the pipeline is larger than a preset value, the flow monitoring device is in the first state, and when the actual flow in the pipeline is smaller than the preset value, the flow monitoring device is in the second state. The medium flow can be respectively and accurately measured regardless of the size of the medium flow, the phenomena of flow measurement errors and distortion are eliminated, energy measurement is more accurate, and cost analysis is specific and easy to control.

The invention provides an intelligent hybrid kitchen range control system and method based on energy efficiency cost analysis. The system comprises a hybrid heating unit, a sensing detection unit, a central control unit and a man-machine interaction unit, after the system is started, the sensing detection unit collects the state and environmental parameters of the cookware in real time, and the central control unit calculates the heat load requirement based on the data and generates a multi-mode comparison result through energy efficiency cost simulation. And according to a user preset strategy, the system selects an optimal energy mode and generates a control signal to drive the hybrid heating unit to execute heating operation. Through combination of an intelligent algorithm and real-time data, the optimal energy mode is automatically selected, and the use cost is remarkably reduced; through the combination of multiple types of heating modules, different cookware materials are compatible, and the applicability is improved; through a dynamic adjustment mechanism, the stability and consistency of the cooking effect are guaranteed, the problem that an existing gas-electric dual-purpose stove cannot be automatically switched and energy efficiency cannot be optimized is solved, and efficient and economical cooking experience is achieved.

The application provides a steel industry chain logistics cost analysis system based on a blockchain technology, and the system comprises the following steps: obtaining a logistics cost model of a target transportation task constructed in advance; taking the minimum transportation cost and the shortest transportation time as optimization targets, optimizing the logistics cost model according to a first multi-objective optimization algorithm to determine a plurality of first optimal transportation schemes; determining a simplified logistics cost model according to the plurality of first optimal transportation schemes; and taking the minimum transportation cost and the shortest transportation time as optimization targets, optimizing the simplified logistics cost model according to a second multi-objective optimization algorithm to determine a second optimal transportation scheme. By using the algorithm with fast convergence speed to optimize and simplify the logistics cost model first, and then using the model with better convergence effect to optimize, the most reasonable transportation scheme can be quickly and accurately found out, and waste of transportation capacity is avoided.

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 present application relates to the field of engineering construction, in particular to a construction cost analysis system and method based on big data. Through obtaining multi-modal construction data in the system, the multi-modal construction data is sequentially subjected to data preprocessing and standardization, the text and numerical value in the initial multi-modal construction data are aligned, the aligned text numerical value data and image space-time data are used to construct a knowledge graph, an LSTM-GRU hybrid network and an HMM hidden Markov model are connected, a construction cost prediction model is established, a space-time attention mechanism is added to the model, the characteristic multi-modal construction data is input into the model for prediction, the model is iteratively trained through a PPO algorithm, and the materials and manpower in the construction project are uniformly scheduled and managed based on the minimum cost path and the risk plan library. The key space-time area can be dynamically focused, the spatial resolution of the prediction result is improved to the bid section level, and a basis is provided for accurate scheduling.

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.

The invention provides a construction project cost analysis method and device, a storage medium and a program product, and relates to the technical field of construction cost analysis. Performing budget reverse decomposition operation on the current construction project by using the cloud computing service center to obtain a sub-item project parameter set, geographic position data, sub-item budget constraint conditions and a sub-item project optimization strategy; a background database is used for executing missing parameter influence operation on the subentry engineering parameter set according to the geographic position data and the material supply chain data, and a cost influence weight is obtained; key parameter locking operation is executed on the front-end application software according to the cost influence weight, so that key parameters are obtained; and utilizing a background database to generate a cost decision analysis report according to the key parameters, the sub-item engineering parameter set, the sub-item engineering optimization strategy and the sub-item budget constraint conditions. The technical problem that the parameter processing efficiency is low in the construction project cost analysis process in the prior art is solved.

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.

The invention relates to the technical field of project cost analysis, in particular to a project cost analysis method and system based on an intelligent algorithm, and the system comprises a data collection and preprocessing module, an intelligent correction engine module, a sensitivity analysis module, a price prediction module and an output module. A cost result is optimized through a dynamic error correction algorithm, sensitivity analysis is performed by using a multi-dimensional parameter correlation model, and a material price is predicted by using an improved time sequence algorithm, so that real-time linkage of a cost result and a design scheme is realized. The construction cost analysis accuracy can be remarkably improved, the error rate is reduced to be within 3%, key construction cost driving factors are accurately recognized, the BIM integrated delivery requirement is met, and reliable technical support is provided for engineering projects of different scales.

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.