16 results about "Cost comparison" patented technology

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 application relates to the technical field of knowledge graph data processing, and discloses an electronic component supply-demand matching transaction system based on a knowledge graph, which comprises a component ontology speed labeling module, a constraint speed analysis module and a dynamic decoupling query planning module. The dynamic decoupling query planning module comprises a query cost estimation submodule. The system is used for configuring speed labels for knowledge graph data, analyzing a query into a static constraint subgraph and a dynamic constraint subgraph, and estimating the execution costs of the two subgraphs by using the query cost estimation submodule before execution. Based on the cost comparison result, it is determined and confirmed whether the static constraint subgraph is preferentially executed or the dynamic constraint subgraph is preferentially executed. The application introduces a dynamic inversion mechanism based on cost, solves the query plan mismatching problem caused by the dependence of static priority rules under the condition of extremely skewed data distribution, and enables the system to self-adaptively select an optimal execution path.

The invention provides a project budget management system and method, computer equipment and a medium, and the system comprises a project information management subsystem which is used for recording the basic information of a project; the construction period calculation subsystem is used for calculating the total construction period of the project according to the basic information of the project; the list management subsystem is used for managing a required material list of the project according to the basic information of the project and the total construction period of the project; the budgeting subsystem is used for making a project budget according to the bill of materials; the cost comparison subsystem is used for calculating a difference value between the project budget and the actual expenditure of the project; the budget optimization subsystem is used for adjusting the project budget according to the difference value, reducing the project cost and obtaining a new project budget; wherein the project information management subsystem is in communication connection with the construction period calculation subsystem, the list management subsystem, the budgeting subsystem and the cost comparison subsystem, the list management subsystem is in communication connection with the budgeting subsystem, and the cost comparison subsystem is in communication connection with the budgeting optimization subsystem.

The invention provides a data entry comparison device, and relates to the technical field of cost comparison devices. The meter fixing part is arranged in the fixing part; the flattening part is arranged in the fixing part; the shielding part is arranged above the meter fixing part; the fixing frame is fixed to the mounting frame, so that the fixing frame is kept stable, meanwhile, the connecting frame is conveniently restrained and adjusted, the leveling frame is conveniently driven to move downwards, a cylindrical roller at the bottom makes contact with the construction cost meter, the construction cost meter is processed through the cylindrical roller in the moving process of the meter placing plate, and the construction cost meter placing efficiency is improved. Meanwhile, a meter pressing frame is matched for pressing the cost meter, so that the cost meter is convenient to use, and the problems that for a traditional input comparison device at present, the stability of the cost meter is usually kept in a pressing mode, but most of the cost meters are made of paper, so that wrinkles are likely to occur after long-time use, and the cost meter is damaged are solved. And the recording is influenced by the uneven surface.

A method for updating a prediction candidate list is provided. The method includes: acquiring the prediction candidate list; determining similar candidates within the prediction candidate list based on template matching (TM) cost comparison and predictor similarity estimation; and updating the prediction candidate list based on the similar candidates.

This invention provides a method for controlling the operation of a probe well located near an excitation well undergoing hydraulic fracturing, which can generate fracturing-driven interference (FDI) events on the probe well. The method includes: providing an FDI intervention system comprising a computer-implemented predictive model for determining the risk of an FDI event occurring during the hydraulic fracturing operation; calculating a risk-weighted FDI event cost affecting production from the probe well; and calculating the defensive intervention implementation cost of applying defensive intervention to the probe well to mitigate the harm from the FDI event. The method includes calculating a cost comparison based on a comparison between the defensive intervention implementation cost and the risk-weighted FDI event cost. The method concludes with automatic control of the probe well operation using the FDI intervention system based on the cost comparison.

The invention relates to the technical field of knowledge graph data processing, and discloses an electronic component supply and demand matching transaction system based on a knowledge graph, which comprises a meta-ontology speed labeling module, a constraint speed analysis module and a dynamic decoupling query planning module, and is characterized in that the dynamic decoupling query planning module comprises a query cost estimation sub-module; the system is used for configuring a speed label for knowledge graph data, analyzing a query into a static constraint sub-graph and a dynamic constraint sub-graph, estimating execution costs of the static constraint sub-graph and the dynamic constraint sub-graph by utilizing a query cost estimation sub-module before execution, and judging and determining that the static constraint sub-graph is executed preferentially based on a cost comparison result. According to the method, a dynamic inversion mechanism based on cost is introduced, so that the problem of query plan mismatching caused by dependence on a static priority rule under the working condition of extremely inclined data distribution is solved, and the system can adaptively select an optimal execution path.

The invention discloses a rail transit prefabricated part production quality information tracking system construction method, which belongs to the field of rail transit engineering construction, and comprises the following steps: formulating an engineering code for each prefabricated part according to a construction step sequence in combination with rail transit engineering sub-part item division, and establishing an engineering code for each prefabricated part according to a construction drawing provided by a design unit; the method comprises the following steps of: refining a prefabricated part template, an embedded part and a reinforcing steel bar processing large sample drawing, refining a processing large sample drawing of each prefabricated part, shooting production process information of the prefabricated parts by a camera, uploading the production process information to a module data storage unit, and realizing mutual feedback between the production process information of the prefabricated parts and BIM model data according to real-time transmission data; prefabricated part production and processing data and construction drawing design data are compared and checked, a checking report is issued in a chart form, related engineering quantity comparison data are extracted, and a prefabricated part cost comparison result report is generated, so that prefabricated part production whole-process quality supervision, data real-time recording and traceable solutions can be realized; and engineering quality safety is guaranteed.

The technology described herein is directed towards mapping the storage tiers of various multi-cloud vendors to an enterprise's storage tiers and the enterprise's associated storage tier datasets, based on enterprise storage tiering definition data. Once mapped, the storage tier datasets are populated based on the vendor's per-tier metadata that are associated with the enterprise's data stored on that vendor's storage tiers. Similar mapping is performed for each other vendor's storage tiers. Once the storage tier datasets are populated based on the corresponding metadata, the metadata's variable parameters (e.g., performance metrics) for the enterprise's stored data can be presented according to the enterprise's own defined tiers and labels for the parameters. The metadata information in the datasets can be viewed per vendor and per enterprise-defined tier dataset, such as for object storage monitoring, cost comparison among different vendors' tiers, and closest vendor-to-enterprise parity comparisons of like variables.

The invention discloses a whole substation updating project establishment optimization method, which comprises the following steps of: determining regional development attributes and updating conditions of a substation, and preliminarily delimiting a project establishment range; calculating the dispersion degree of the operation years of main equipment in the station, and adjusting the project approval tendency according to the dispersion degree; for the transformer substation needing to be further judged, checking the cost difference between capital construction and technical improvement, and judging based on an investment threshold value; generating a target project approval scheme by integrating the area attribute, the equipment dispersion and the cost comparison result; updating is implemented according to scheme classification, and key indexes in the implementation process are dynamically monitored and optimized. According to the method, a standardized quantitative judgment model is constructed by integrating the three dimensions of the regional attributes, the equipment state and the cost, the conversion of project establishment decision from experience judgment to data driving is realized, the scientificity, the economy and the implementation controllability of an updating scheme are improved, and a system solution is provided for power grid asset upgrading.

This invention relates to the field of Internet of Things (IoT) communication technology and discloses a dynamic communication method and system for IoT terminals. The method includes: acquiring historical network state parameters and terminal state parameters; predicting the future quality of candidate networks using a lightweight neural network; calculating the service risk cost and handover cost to maintain the current link; if the risk cost is greater than the handover cost, triggering a hierarchical decision engine to screen target networks and protocols; loading a protocol stack to establish a backup link; migrating sessions and data; and then switching the link. This invention, by combining a hierarchical decision-making mechanism of network quality prediction and cost comparison, enables early and smooth handover of IoT terminals between heterogeneous networks, solving the problem of service interruption caused by delayed handover timing.

A vehicle-person cooperative scheduling method, system, device and medium, the method comprising: acquiring personnel state data, vehicle state data, environmental parameters and a detection task list of detection personnel; matching the personnel state data with each detection task to obtain a task matching degree, determining a detection personnel set of each detection task, and dividing candidate riding groups; analyzing a first detection task place corresponding to the first detection personnel to obtain a first path dispersion coefficient and a first cost comparison index; adjusting the candidate riding group based on the first path dispersion coefficient and a first cost comparison index to obtain a target riding group; analyzing a second detection task site corresponding to each second detector to obtain a second path dispersion coefficient and a second cost comparison index; determining the vehicle type of each target riding group, and obtaining a distribution result; and generating a vehicle scheduling scheme. According to the invention, the vehicle-man cooperative scheduling efficiency can be improved.

The application relates to the field of data processing, in particular to a scheduling running time comparison method and device of an operator and a storage medium. The method comprises the following steps: obtaining at least two candidate schedules corresponding to a target computing expression, the target computing expression being used for describing the computing logic of the operator; obtaining a cost comparison model, the cost comparison model being a model obtained by training a neural network by using multiple sample schedules; calling the cost comparison model to output a cost comparison result according to the at least two candidate schedules, the cost comparison result being used for indicating the size order of the execution time lengths of the at least two candidate schedules on a target hardware platform. According to the embodiment of the application, the relative sizes of the execution time lengths of different schedules can be directly compared without predicting the absolute execution time length of the schedule, so that the automatic optimization function of the compiler / automatic optimizer is realized, and the evaluation speed and accuracy of the scheduling running cost are greatly improved.

A vehicle-person cooperative scheduling method, system, device and medium, wherein the method comprises: obtaining personnel state data, vehicle state data, environmental parameters and a detection task list of a detection personnel; matching the personnel state data with each detection task to obtain a task matching degree and determine a detection personnel set for each detection task to divide a candidate vehicle-riding group; analyzing a first detection task location corresponding to a first detection personnel to obtain a first path dispersion coefficient and a first cost comparison index; adjusting the candidate vehicle-riding group based on the first path dispersion coefficient and the first cost comparison index to obtain a target vehicle-riding group; analyzing a second detection task location corresponding to each second detection personnel to obtain a second path dispersion coefficient and a second cost comparison index; determining a vehicle type of each target vehicle-riding group to obtain an allocation result; and generating a vehicle scheduling scheme. The present application can improve the efficiency of vehicle-person cooperative scheduling.

The invention discloses an automatic residential area air distributor model selection method, and belongs to the technical field of ship design. According to the method, key information such as cabin layout, a noise limit value and air distributor model parameters is integrated through a system, the minimum number is determined from the two dimensions of the coverage area and the needed air volume, then the number is dynamically adjusted in combination with the noise limit value so as to meet the comfort requirement, and finally the optimal model is selected through cost comparison. In the process, air supply uniformity, personnel comfort, noise control and cost effectiveness are comprehensively considered, automation and optimization of model selection of the air distributor are achieved, and the model selection efficiency and reasonability are effectively improved.

The application discloses a kind of based on BIM technology's residential project scheme design method, including establishing three-dimensional model and command group, each household model group is coded;Different area schemes are respectively established by different plan views;Different area boundaries are created, and the area boundary of different area schemes is locked, by adjusting the position and size of the graph element in the household model group, the design parameters of household plan layout and household splicing are synchronously adjusted, the optimal household model group and household splicing scheme model are obtained, different building schemes are added to the model, building scheme cost comparison is carried out, and the most reasonable building design cost scheme is obtained and the like steps.The application quickly calculates the cost of each scheme and forms a comparison, reduces the design cycle;Supports various residential project scheme design stages such as assembly type and early construction planning in construction stage, can improve the assembly rate and prefabricated component standardization degree of the project, and reduces the overall cost.