324 results about "Cost analysis" patented technology

The invention relates to an internet big data extraction method and device, equipment and a storage medium, and the method comprises the following steps: carrying out distributed crawler collection on an internet data source, obtaining original network data, and converting the original network data into a structured data matrix; and performing multi-level semantic analysis on the matrix, constructing a semantic feature map, and performing topic segmentation and classification to form a topic domain knowledge tree. Association rules in the knowledge tree are further mined, and an implicit knowledge network is constructed. Performing semantic decomposition and expansion on query conditions based on the network to generate expanded query data, and performing similarity matching with the knowledge network to obtain a candidate data set; and finally, performing multi-factor sorting and extraction on the candidate data, and outputting target data, thereby solving the technical problem that in the second-hand car market, due to wide data sources and fuzzy semantics, an existing system has relatively large deviation when performing price prediction and maintenance cost analysis.

The invention provides a production control method and system based on a digital factory, and the method comprises the steps: collecting the real-time operation data of production equipment in multiple regions of the factory, and carrying out the standardized fusion processing, and obtaining a standardized data flow; according to the standardized data flow, in combination with a preset digital factory knowledge graph, analyzing an association relationship among the production elements to obtain key influence factors; based on the key influence factors in combination with a preset multi-dimensional cost analysis model, optimally allocating production tasks to obtain a production control instruction; and issuing the production control instruction to the production equipment of the corresponding area, monitoring the production parameter change of each area, and dynamically adjusting the production control instruction according to the production parameter change. According to the method, through standardized fusion and knowledge graph analysis of multi-region data, accurate identification of production element association relationships and extraction of key influence factors are realized, the resource utilization efficiency is improved based on optimal allocation of a multi-dimensional cost model, and a dynamic monitoring and adjusting mechanism enhances the response capability to changes.

The invention relates to the technical field of construction industry project cost, and provides a project cost management system based on big data, the core of the system is to integrate a big data technology and comprehensively manage project cost, data management covers links of acquisition, storage, analysis and maintenance, data quality and safety are ensured, and a foundation is built for cost management; the accurate cost analysis uses multiple algorithm models to deeply mine data association, so that accurate prediction and fluctuation reason analysis are realized, and cost optimization is assisted; the efficient business logic layer and the user interaction layer cooperatively operate, the business function is complete, the process is smooth, the interface is friendly, the visualization is strong, and a feedback channel is arranged to promote optimization; data acquisition is wide, storage is efficient, and the method is far better than a traditional scheme; the analysis depth and the visualization effect are prominent, and a more valuable decision basis is provided; the system is complete in business function and scientific in management, improves enterprise cost control and decision-making capability, and is good in user experience and high in safety.

The invention relates to the technical field of project management, in particular to a project cost data calculation management system and method.The project cost data calculation management system comprises a data acquisition module, a data modeling module, a data fusion and optimization module, a dynamic analysis and early warning module, a cost analysis module and a data storage module; a global cost prediction model is established through standardized processing of acquired multi-dimensional data, and real-time data is dynamically analyzed in a project implementation process to generate a cost control report and an adjustment suggestion. And after the project is completed, the system comprehensively analyzes all cost data and generates a multi-dimensional cost analysis report. The security and expandability of data are guaranteed by adopting a distributed storage technology, and the confidentiality and integrity of the data are ensured through a multi-user authority management function. According to the invention, the accuracy, real-time performance and safety of engineering cost management can be effectively improved, and comprehensive support is provided for cost control and optimization of an engineering project.

The embodiment of the invention discloses a charging cost analysis method and system for a liquid cooling over-charging terminal, and belongs to the technical field of data analysis. According to the method, through multi-dimensional data acquisition and deep behavior analysis, accurate description of user charging behavior characteristics can be realized, the accuracy of charging demand prediction and resource scheduling is effectively improved, and the user behavior characteristics are converted into quantifiable parameters, so that the user experience is improved. According to the invention, the formulation of differentiated service strategies can be realized to enhance the personalized adaptation capability of the charging service. Besides, the generation and execution mechanism of the cross-terminal dynamic scheduling strategy can optimize the distribution efficiency of the power resources in the space-time dimension and relieve the local overload problem in the peak period, and the cooperative adjustment function of the real-time power supply parameters and the cost calculation logic can guarantee the charging efficiency and balance the operation stability of the power grid at the same time. In conclusion, the method can significantly improve the resource utilization efficiency of the charging facility.

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 belongs to the technical field of project management and intelligent supervision, and discloses a project cost accounting management method and system for project supervision, and the method comprises the steps: inputting a preprocessing data packet into an edge calculation node, carrying out the dynamic data cleaning through employing a noise filtering matrix algorithm, and outputting a structured data set with a quality label; on the basis of the structured data set with the quality label, scanning a construction part through augmented reality glasses, comparing actual coordinates with building information model design coordinates in real time, and when a deviation accumulated value exceeds an early warning threshold value, generating an acceptance evidence chain which cannot be tampered; and accumulating the incremental cost of the plurality of standardized visa file packages, carrying out time sequence analysis through a long-short term memory prediction model, and outputting a project cost analysis report with a risk level. The problem of loss of acceptance evidence chains in traditional cost accounting is solved, and the strong dependence of a conventional prediction model on data distribution is broken through.

The invention relates to the technical field of hot-line work assessment, and discloses a hot-line work risk assessment method and system based on multi-source data, and the method comprises the steps: collecting equipment data, environment data and geological data, and carrying out the preprocessing; the method comprises the following steps: constructing a knowledge graph structure based on connection of electrified equipment, calculating link cost, analyzing node priority change to carry out dynamic shortest path calculation, optimizing risk propagation of abnormal points, calculating risk change of each grid point, and carrying out anomaly detection. According to the method, the physical and logic relations between the nodes are determined through the knowledge graph, multi-dimensional risk modeling and analysis are facilitated, the method can adapt to field data changes and reflect the newest risk distribution state through real-time monitoring and updating of node priority ranking, negative weight edges are supported through the Bellman-Ford algorithm, and the method has the advantages of being high in reliability and high in reliability. Possible negative influence factors in risk propagation can be effectively processed, the risk diffusion range and intensity of nodes can be accurately described through a Gaussian diffusion model, and the influence of the nodes on surrounding grid points is quantified.

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.

Computer implemented methods, systems, and computer program products include program code executing on a processor(s) to: obtain queries (each query including workload(s)); obtain execution statistics for the one or more workloads; normalize one or more queries. Normalizing includes generating cost analytics, identifying similar cost analytics for query blocks across the queries, and applying a cost model to identify at least one query block for result reuse across. The program code distributes the queries to system resources by assigning the at least one query block (in more than one query / workload) to a first resource to execute (as part of a first workload) against database tables and assigning the at least one query block to a second resource to execute (as part of a first workload) against a shared cache of a heterogenous database system.

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 provides a fault processing method and device, electronic equipment, a storage medium and a product, and the method comprises the steps: obtaining real-time operation parameters of power station equipment, carrying out the fault prediction of the real-time operation parameters, obtaining a predicted fault type and a predicted fault occurrence time point of the power station equipment, carrying out the multi-dimensional impact evaluation of the predicted fault type, and obtaining a fault prediction result. The method comprises the following steps: acquiring a multi-dimensional influence result on power station equipment, performing dynamic cost analysis on the power station equipment by predicting a fault type and predicting a fault occurrence time point, acquiring predicted repair cost of the power station equipment, and determining a target fault processing decision for the power station equipment according to the multi-dimensional influence result and the predicted repair cost. And in response to the feedback of the user on the target fault processing decision on the preset user interaction page, optimizing the target fault processing decision, thereby reducing the operation and maintenance cost, improving the fault processing efficiency, improving the availability and reliability of the power station, and improving the user satisfaction.

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.

Computer implemented methods, systems, and computer program products include program code executing on a processor(s) to: obtain queries (each query including workload(s)); obtain execution statistics for the one or more workloads; normalize one or more queries. Normalizing includes generating cost analytics, identifying similar cost analytics for query blocks across the queries, and applying a cost model to identify at least one query block for result reuse across. The program code distributes the queries to system resources by assigning the at least one query block (in more than one query / workload) to a first resource to execute (as part of a first workload) against database tables and assigning the at least one query block to a second resource to execute (as part of a first workload) against a shared cache of a heterogenous database system.

The invention discloses a health condition evaluation method and system for new energy equipment, and the main points of the technical scheme are that the method comprises the following steps: multi-source data collection and preprocessing: deploying a sensor array to collect equipment operation data, fault feature data, environment data and operation and maintenance historical data, employing an EMD-SVD algorithm to carry out the denoising of a vibration signal, and carrying out the preprocessing of the data; processing the multi-dimensional data through Z-score standardization; constructing a dynamic weight calculation model; health state grading evaluation; and health trend prediction and active early warning: constructing an LSTM-Attention prediction model, inputting a historical CHI sequence, operation data and environmental parameters, and outputting health state prediction values in future 1-3 months. A complete closed loop is formed from data acquisition, evaluation and prediction to operation and maintenance decision, full-life-cycle health archive management of equipment is supported, and data support is provided for equipment type selection optimization and life cycle cost analysis.

The present invention provides a source-sink matching method based on hydrate method and saline CO2 storage, which can improve the efficiency of carbon dioxide storage and reduce environmental risks. The method comprises the following steps: optimizing the terrestrial carbon source distribution points through a mixed integer linear programming (MILP) model to minimize the transportation cost and path. Accurately determine the geological characteristics of the storage target area using three-dimensional seismic data. Comprehensively evaluate the storage capacity of saline aquifers and hydrate method through numerical models, considering three mechanisms of structural storage, dissolution storage and residual gas storage. The MILP model is applied again for cost analysis and source-sink matching. The environmental footprint is analyzed through life cycle assessment (LCA) to ensure the sustainability of the storage scheme. The method provides an efficient, economical and environmentally friendly solution for geological storage of carbon dioxide.

The invention relates to the technical field of bill cost analysis, and discloses a logistics vehicle bill cost prediction method and device, equipment and a storage medium. The method comprises the following steps: acquiring driving data and fee data of a logistics vehicle; preprocessing the driving data and the cost data by adopting a big data processing technology, and uploading the data to a block chain; learning the processed driving data and cost data based on a trained data enhancement model to obtain an optimal action strategy; and utilizing the trained bill cost prediction model to predict the logistics vehicle bill cost of the optimal action strategy. According to the method, by means of a neural network deep learning and reinforcement learning algorithm, an expense change rule can be mined from a large amount of historical driving data and expense data, more accurate logistics vehicle bill expense prediction is made according to the expense change rule, an enterprise is helped to make budget planning in advance, and the uncertainty risk is reduced; based on the prediction result, the system can also automatically adjust the scheduling plan of the logistics vehicle.

The invention discloses a marginal emission reduction cost-based ship greenhouse gas emission reduction evaluation method and system, and relates to the technical field of ship emission reduction, and the method comprises the steps: collecting and building a ship greenhouse gas emission reduction measure; establishing a carbon pricing mechanism, and constructing a marginal emission reduction cost analysis model based on the carbon pricing mechanism; carrying out cost-benefit analysis on greenhouse gas emission reduction measures by utilizing the marginal emission reduction cost analysis model, and carrying out cost-benefit sorting; key parameter extraction is carried out on the marginal emission reduction cost analysis model, influence analysis of parameter change and cost effectiveness is carried out based on a key parameter extraction result, and a sensitivity analysis result is established; and generating a ship greenhouse gas emission reduction evaluation result according to the sensitivity analysis result and the cost-benefit sequence. According to the method, the technical problems that the evaluation method in the prior art is single and multi-dimensional economic benefits and market fluctuation influences cannot be comprehensively considered are solved, and the technical effect of improving the economic evaluation precision of the emission reduction measures is achieved.

A system and method are provided for controlling item placement for managing warehouse productivity. The system may include one or more warehouse databases, and one or more processors. The processors may be configured to interface with the one or more warehouse databases, extract, transform and load information from the one or more warehouse databases to form an input dataset, perform cost analysis and discrete event simulation to the input dataset to obtain a candidate dataset, and provide a recommendation for an optimal mix of volume flow through different forward pick areas of a warehouse by applying a linear programming solver on the candidate dataset.

The invention relates to the technical field of land analysis, and discloses a supplementary cultivated land space site selection method suitable for southwest mountainous areas, comprising the following steps: constructing an intelligent site selection module group based on ArcGIS software, and performing supplementary cultivated land space site selection by the intelligent site selection module group; the intelligent site selection module group comprises a management adaptability analysis module used for extracting a first potential pattern spot meeting a management requirement; the occupation and compensation demand analysis module is used for obtaining a second potential pattern spot assigned with an occupation and compensation balance demand; the cultivation condition analysis module is used for acquiring third to fifth potential pattern spots of assigned cultivated land concentration contiguous degree, residential area proximity and water source proximity; the renovation cost analysis module is used for acquiring sixth to eighth potential pattern spots of the assignment gradient, the road accessibility and the renovation difficulty; and the space site selection analysis module is used for summarizing and calculating potential pattern spot scoring results of the target area. According to the method, an effective quantitative evaluation result can be provided for regional cultivated land occupation and supplement balance work.

The invention relates to the technical field of financial data processing, in particular to a payment and settlement service system based on a big data technology, and the system comprises a data collection module, a user payment behavior recognition module, a payment channel evaluation module, and a payment execution and monitoring module. According to the invention, through deep analysis of transaction data and dynamic user portrait construction, consumption modes and preference trends of users can be captured and analyzed more accurately, and through extraction of periodic purchase behaviors and sudden change preferences, payment experience is highly personalized, customer service quality is greatly improved, payment channel assessment is comprehensive, and user experience is improved. The method includes real-time performance monitoring and cost analysis, guarantees the optimization of the payment process, effectively improves the processing speed and safety, reduces the fraud risk, enhances the transaction safety and transparency through the implementation of full-chain encryption and the real-time tracking of the payment progress, and improves the response speed to potential abnormalities.

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 provides a mine comprehensive management and control technology direct production cost analysis system, and the system comprises a direct production cost analysis module which is used for analyzing all target cost class data of a to-be-analyzed mine through a production cost decomposition model which carries out the training of cost class data, so as to obtain the production cost data of the to-be-analyzed mine; the single equipment cost analysis module is used for analyzing all target equipment cost class data of the to-be-analyzed mine through a single equipment cost decomposition model trained by the equipment cost class data so as to obtain equipment cost data of each single equipment; and the application display module is used for displaying the production cost data and the equipment cost data. Therefore, the direct production cost analysis system is developed on the basis of the direct production cost decomposition model and the single equipment decomposition model, so that the control function of the mine production cost from overall analysis to single equipment analysis dimension is realized, the real-time dynamic control of the production cost is realized, and the production cost is greatly reduced.

The invention discloses a cost data management system based on electric power construction, and relates to the field of data management, and the key points of the technical scheme are that a data acquisition and preprocessing module is used for acquiring comprehensive cost data in a cycle time, and preprocessing the comprehensive cost data by using a rule map to obtain standard cost data; the data combination and reconstruction module is used for carrying out combination and reconstruction on the standard cost data to obtain a time-class data packet; the curve fitting module uses a curve fitting model to carry out curve expression on the time class data packet, a standard curve set is obtained, trend analysis is carried out on the standard curve set, and comprehensive evaluation data is obtained based on the comprehensive set; the cost analysis and decision-making module constructs a cost function based on the comprehensive evaluation data, and determines distribution funds of each data category; and the visual output module carries out visual display based on the distribution fund of each data category, so that high-quality management of the cost data in the electric power construction process is realized.

Systems and methods collect input information about a function to offload, a representation of the code, application requirements, user preferences, resource profiles, and capabilities and apply a cost function to weigh these factors as applied to available offloading and local processing options. The cost function outputs a list of resource specifications that fulfill the application requirements and user preferences together with information about expected performance, energy consumption, monetary cost, and other aspects of the potential offloading. Application developer tools assemble input data and evaluate candidates for offloading functionality, which are used in static, semi-static, and dynamic deployments. They are also applied in a control plane of a framework for dynamic offloading to field requests and evaluate whether potential offloading solutions are beneficial.

The invention relates to a circulating water system parameter optimization method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring current operation information of the circulating water system; the circulating water system comprises a plurality of devices; the current operation information comprises respective parameter values of a plurality of operation parameters; each operation parameter comprises at least one adjustable parameter; for each piece of equipment, determining equipment associated parameters associated with the equipment from the operation parameters; performing operation cost analysis on the equipment based on the parameter values of the equipment associated parameters, and determining the equipment operation cost of the equipment; superposing the equipment operation cost of each equipment to obtain the system operation cost of the circulating water system; and based on the adjustment range of the adjustable parameter, optimizing the operation cost of the system, and determining an optimized parameter value corresponding to the adjustable parameter. The method can reduce the operation cost of the circulating water system.

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.

In a method for data recovery in a continuous data protection system, delta values representing an exclusive disjunction between successive values of data block contents of a content fragment of a dataset at a time t(n) and a time t(n−1) for n=1 to i, where i is selected according to a predetermined data protection profile, are generated. The delta values can be used to recover a dataset to a value at the selected point in time in association with a snapshot that is selected as a starting point for recovery based on a cost analysis associated with a volume of disk activity to restore.

The invention discloses a park electric energy intelligent management regulation and control method based on the Internet of Things, and belongs to the technical field of community power grid building platforms, and the park electric energy management regulation and control through a management regulation and control platform comprises the steps of firstly installing an intelligent electric meter for data acquisition and monitoring system deployment, and then training a load prediction model by using historical load data, and finally, according to the trained load prediction model, predicting time-sharing electric power of the proprietors in the future. And meanwhile, according to future weather forecast data, a reference electricity price model is established in a linear regression mode, so that the future time-sharing reference electricity price is predicted. After various basic data are prepared, a park power supply and demand model is constructed in a linear programming mode, the total power consumption cost is minimized, in subsequent power supply management, a manual intervention step is added, the power consumption ratio, cost analysis and energy storage state of each owner are displayed through a visual component, a threshold value is set, and when the detected deviation exceeds the threshold value, the power supply management is completed. And prompting an administrator for intervention.

The invention provides a multi-dimensional engineering cost analysis and comparison method, which comprises the following steps of: obtaining an engineering construction plan, and constructing a time sequence according to construction time nodes in the engineering construction plan; acquiring spatial data and resource data according to the engineering construction plan; randomly mapping the spatial data and the resource data to a time period formed by construction time nodes in a time sequence according to different time nodes to obtain a construction sequence; calculating the viscosity of adjacent time periods in the construction sequence, and adding the viscosity into the construction sequence; a sparrow search algorithm is adopted to analyze and compare the construction sequence based on the lowest cost, and an optimal construction sequence is obtained; a time dimension, a space dimension and a resource dimension are combined together to construct a time sequence, and after the viscosity between a logistics supplier and a resource provider is considered, a sparrow search algorithm is adopted for optimization, so that an optimal construction sequence with the lowest construction cost evaluated from multiple dimensions can be obtained.