48 results about "Project cost management" patented technology

The invention discloses a project cost risk monitoring method and a project cost management platform, and the method comprises the steps: S1, carrying out the real-time collection and standardization processing of multi-source data: collecting dynamic data in real time through an Internet of Things device at a construction site, carrying out the butt joint of a design drawing, a financial system and the like, obtaining static data, and employing a data cleaning, conversion and integration technology; s2, carrying out risk factor identification and correlation analysis based on a knowledge graph; s3, implementing risk quantitative prediction and early warning driven by artificial intelligence; s4, real-time monitoring and automatic verification of contract performance of blockchain enabling are realized; s5, providing dynamic cost adjustment and optimization decision support; through real-time collection and standardization processing of multi-source data, data islands of all parties participating in a project are broken, and accuracy, integrity and timeliness of key data such as construction progress and cost expenditure are ensured. Based on big data analysis and artificial intelligence prediction, more accurate risk assessment and cost prediction are provided for project managers.

The invention relates to the technical field of project cost management, and discloses a project cost dynamic management method. The method comprises the following steps: marking a timestamp of a data updating node in a historical cost database, extracting a consumption index of each subentry project in a specified interval before and after the timestamp, and constructing a consumption feature set dynamically associated with the cost; inputting the consumption feature set into an optimized neural network, calculating the deviation degree of the same sub-project in the construction stage and the design stage through time sequence comparative analysis, and generating the difference representation of the actual cost and the plan cost; a material price fluctuation coefficient is used as an adjusting variable, a fuzzy comprehensive evaluation model is adopted to carry out multi-dimensional reasoning on the difference representation, and the influence weight value of each cost component on the cost deviation is obtained; key parameters related to the market supply and demand index and the construction progress deviation rate are mined, the key parameters are input into a pre-trained evaluation model, a screening threshold value is dynamically adjusted according to a model output numerical value, and core parameters with influence weight values higher than the adjusted threshold value are screened out.

The invention relates to the technical field of project cost management, in particular to a hydraulic engineering construction cost control system and method, and the system comprises a material consumption analysis module, an inventory early warning calculation module, a dynamic inventory adjustment module, a replenishment trigger optimization module, and a consumption stability evaluation module. According to the method, the material consumption rate is dynamically monitored, the construction progress and engineering quantity are combined to measure and calculate data, a consumption trend curve is established, the actual use condition is compared, the consumption rate deviation is accurately quantified, real-time evaluation of material use is achieved, the number of supply days is calculated in combination with inventory data, the replenishment period is matched, and the replenishment time is dynamically adjusted; the inventory level is optimized, fund occupation is reduced, the stability is evaluated according to the consumption fluctuation range, the maximum consumption fluctuation value is calculated, the demand is adjusted in combination with replenishment, the inventory early warning threshold value is dynamically corrected, the supply chain breakage risk is reduced, the adaptability of construction material management is improved, and the cost control accuracy is improved.

The invention relates to the technical field of project cost consultation management, and discloses a project cost consultation management method and system, and the method comprises the steps: building a material price database which is dynamically updated in real time, obtaining market material price data from the Internet, and updating the material price database; adding the material price database into the data warehouse set, executing a cluster cache strategy, and optimizing the data warehouse set by using cache; executing a load balancing strategy on the server network of the transmission data warehouse set; acquiring data features of the cost project, executing an intelligent matching strategy, and acquiring an optimal cost model of the cost project; calculating the cost of the cost project by using the optimal cost model; if the cost is higher than the cost threshold, executing a budget project adjustment strategy, and adjusting budget distribution of sub-projects of the cost project; and executing the block chain recording strategy, and storing the operation record in the log record. And the reliability and accuracy of project cost management are improved.

The invention provides a municipal drainage project cost risk prediction and control method based on big data and artificial intelligence, and relates to the technical field of project cost management. Comprising the steps of obtaining multi-source heterogeneous data such as design and engineering quantity, construction progress, change visa, geology, hydrology and meteorology, operation monitoring, history and market, macropolicy and Internet of Things sensors, and performing fusion preprocessing; cross-source space-time alignment and entity association are realized based on unified coding and timestamps, and a target feature set is determined in combination with business semantics and a space-time relationship; constructing a graph structure for describing the space-time dependence of the project elements; setting risk measurement based on a cost control reference, and training the model in real time; inputting the graph structure into a model to generate a risk prediction result; and multi-objective optimization is carried out according to prediction, and early warning measures are generated and risk measurement is adjusted in real time under the constraint of contract policies, resource capabilities, time window processes and drainage safety by integrating the cost risk, progress deviation and disposal cost, so that closed-loop control from data to decision is realized.

The invention discloses an intelligent engineering cost investment control system and method fusing multi-source data, and relates to the technical field of engineering cost management. The system comprises a data acquisition module, a data preprocessing module, a multi-source data fusion module, an intelligent decision module and a cost control execution module. The data acquisition module is used for extracting geometric, material, quantity, construction process and time parameters of the components from the BIM model; the data preprocessing module eliminates noise and unifies formats; the multi-source data fusion module constructs a fusion feature matrix; the intelligent decision-making module performs deep feature mining through an improved convolutional neural network and outputs an accurate cost prediction result; and the control execution module executes multi-stage regulation and control according to the deviation between the predicted cost and the target cost. Accurate prediction and dynamic control of the project cost are realized, and scientificity and effectiveness of project cost management are improved.

The invention provides a construction project cost management method and system based on big data, and relates to the field of project cost management, and the method comprises the steps: obtaining project cost data, and carrying out the preprocessing of the project cost data, so as to obtain a project cost data set; the project cost data set is converted into a standard project cost data set meeting the unified standard, multi-dimensional data verification is carried out to obtain a multi-dimensional verification result, and the data fluctuation degree of the standard project cost data set is calculated to obtain a data fluctuation rate; constructing a data quality evaluation model and performing quality evaluation on the standard project cost data set to obtain a quality score of each data point; according to the quality score of the standard engineering cost data obtained in real time and a preset threshold value, when the quality score of the standard engineering cost data does not meet the preset threshold value, an early warning mechanism is triggered. The method is used for overcoming the defect that the processing speed is low when an existing data quality control technology is used for processing large-scale data.

The invention relates to the technical field of cost management, in particular to an intelligent engineering cost management method and system based on big data, and the method comprises the following steps: collecting task progress materials, equipment and working hours, carrying out the alignment standardization, extracting cost factors, generating a cost parameter set, calculating a multi-parameter trend difference, recognizing risk linkage, and generating risk propagation data; the method comprises the following steps: acquiring construction task progress materials, analyzing a relationship between parameter changes and budget expenditure to form a budget influence path, calculating a difference value threshold exceeding mark abnormal cumulative weight, and comparing budget deviation with a factor direction to generate a project cost management result. The method comprises the following steps: extracting cost influence factors, calculating trend difference, identifying risk linkage, analyzing a relationship between parameter change and budget expenditure to form an influence path, calculating difference value over-threshold marking abnormity and accumulating weight, comparing budget deviation and factor fluctuation direction to adjust items, realizing cost dynamic monitoring and accurate control, and improving budget execution and risk response efficiency.

The invention discloses a big data analysis and automatic evaluation system in project cost consultation, and relates to the technical field of big data analysis and evaluation. By constructing a unified data acquisition framework and a dynamic updating mechanism, efficient integration and real-time interaction of multi-party heterogeneous data are realized, data transparency and reliability are remarkably improved, a solid data basis is provided for project cost management, the system quickly and accurately optimizes various variables by utilizing comprehensive analysis and multivariable optimization technologies, and the system has a good application prospect. The system adapts to the dynamic environment, enhances the anti-risk capability of the project, ensures that the project cost management meets the real-time requirement and realizes the globally optimal solution, and in addition, through resource allocation strategy generation, view updating and decision recording and a feedback loop mechanism, the system realizes the generation and continuous improvement of a resource allocation strategy oriented to global benefit balance. The resource allocation efficiency and the long-term competitiveness of the project are improved, and powerful support is provided for sustainable development of urban construction.

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 present invention relates to the technical field of electrical digital data processing for buildings, and more specifically to a method and system for construction project cost management based on electronic information technology. The method comprises: obtaining a building information model corresponding to a target building, the building information model being established based on the target building's engineering electronic information; extracting load transfer paths and load values ​​from the building information model, and establishing a load transfer tree diagram for multiple components within the target building based on the load transfer paths and load values; analyzing the impact of thickness changes of components corresponding to each node in the load transfer tree diagram on components corresponding to other nodes within a preset range, and determining thickness change evaluations corresponding to each component; determining adjusted thicknesses for each component based on the thickness change evaluations corresponding to each component, and optimizing the construction cost of the target building based on the adjusted thicknesses. In the present invention, by processing the electrical digital data of the target building, the balance between safety and economy in construction project cost management is improved.

The invention relates to the technical field of project cost management, in particular to a construction engineering cost management system which comprises a stage boundary module, a stage characteristic fitting module, a global parameter optimization module, a double-layer dynamic inference module and a real-time adaptation adjustment module. According to the method, the accuracy of stage division is improved by extracting the single-stage construction period consumption and the stage cost ratio and combining calculation of the slope and the inflection point and accurately recognizing the stage demarcation point, the definition of segmented data is enhanced through cost change rate difference calculation and stage boundary point marking, and the accuracy of stage division is improved. On the basis of calculation of the ratio of resource investment to stage cost increment, the fitness of a cost trend model is optimized, smoothness and accuracy of the overall cost trend are achieved through global error extraction and demarcation point adjustment, dynamic prediction is combined with segmented cost volatility and newly-added data, the accuracy and timeliness of the cost prediction range are optimized, and the cost prediction efficiency is improved. And calculating the construction period consumption and the cost increment deviation value in real time, and dynamically adjusting the trend parameters.

The invention relates to the technical field of building construction management, and discloses a building outer wall construction cost prediction and control system based on big data analysis, and the system comprises a data collection module, an analysis engine, a decision support module and a visualization module. The core method comprises the following steps: calculating a construction behavior entropy based on high-frequency dynamic data collected from a construction site through an analysis engine so as to quantify the disorder degree of an operation process; a cost potential energy model is established in combination with the construction behavior entropy and the external environment constraint and is used for quantifying the risk of actual cost hyper-branched in the future; and constructing a conduction network based on a working decomposition structure (WBS) to predict an evolution path of the risk, and diagnosing a systematic source by identifying resonance between behavior entropies of different dimensions. According to the method, dynamic quantification, predictive identification and root diagnosis of cost risks can be realized, passive control is changed into active intervention, and the perspectiveness and the refinement level of project cost management are remarkably improved.

The invention discloses a power grid project cost management system based on a cloud platform, and relates to the technical field of project cost management, and the system comprises an information acquisition and analysis module, a scheme analysis module, a scheme decision module and a project uploading module. Scientific data basis is provided for project budget and cost control of the target project, market information is acquired in the construction process of the target project, each construction adjustment scheme is formulated based on the change of the market information, and each construction adjustment scheme is selected based on the specific construction progress of the target project, so that smooth completion of the target project is ensured, and the construction efficiency is improved. And finally, after the target project is completed, the project information of the target project is uploaded to the cloud platform to serve as a project reference for construction of the next project, so that convenience and flexibility of power grid project cost management are ensured.

The invention relates to an amphibious multi-business and multi-mode complete-period construction project cost management and control system. The system comprises a project income management module, a project budget management module, a project planning management module, a project cost management module, an economic activity analysis module and an assessment and evaluation module. According to the invention, big data, artificial intelligence, mobile internet and other informatization technologies are applied to perform full-business process management and control on project income, budget, planning, cost and economic activity analysis, and by means of dynamic assessment and evaluation, the cost management and control requirements of construction projects of different types, different stages and different conditions are met, so that the cost management and control requirements of construction projects on water or land are met. The cost management and control requirements of the project can be met whether a standard project or an EPC project, the universality of the system is improved, meanwhile, a data flow mechanism with data communicated layer by layer is constructed through strict system logic, the reuse rate of process achievements is improved, the burden of data filling and reporting can be reduced for first-line project management personnel, and the working quality and efficiency are improved.

The invention relates to the technical field of engineering cost management, in particular to a digital building engineering project cost management system. The system comprises a data acquisition layer, an intelligent analysis layer and a decision output layer, the data acquisition layer is used for sequentially and continuously acquiring physical quantity data, BIM component-level engineering quantity data, market price data and carbon emission activity data of a construction site; the intelligent analysis layer integrates a learning cost prediction model, a BIM-cost mapping engine, a cost deviation traceability knowledge graph and a reinforcement learning simulation module; the decision output layer deploys a dynamic budget adjustment mechanism of block chain evidence storage and executes a carbon cost measurement model; according to the dynamic budget adjustment mechanism of the block chain evidence storage, each budget adjustment is submitted to a permissible block chain network in a smart contract form, and a budget change voucher which cannot be tampered is generated after consensus of multiple nodes; and executing the carbon cost measurement model for calculating the marginal carbon cost in real time and dynamically injecting the carbon quota transaction price into the cost prediction model.

The application discloses an engineering project cost whole-process collaborative management method and system, relates to the technical field of engineering project cost management, and comprises a cost matter main line construction module, which is used for receiving project estimation, design budget estimate, bidding control price, contract price, process measurement, change visa, claim and item data of final account, performing unified matter code mapping and cross-stage integration processing, and generating cost matter unit data. In the application, the project estimation, the design budget estimate, the bidding control price, the contract price, the process measurement, the change visa, the claim and the item data of the final account are subjected to the unified matter code mapping and the cross-stage integration processing by the cost matter main line construction module, the cost matter unit data is generated, cross-stage item integration record data is formed by the different-stage item data, and thus a stable main line structure is established at the data level, and consistent organization and centralized management of the cross-stage item data are realized.

The application relates to the technical field of engineering project management, in particular to an engineering cost consulting business management method and system, terminal equipment and a storage medium. The method comprises the following steps: if the data completeness degree corresponding to cost data does not conform to the cost task completeness degree standard corresponding to a project cost management task, stopping data processing operation and outputting the data vacancy item corresponding to the cost data; if the data completeness degree conforms to the data matching degree standard corresponding to the project cost management task, judging whether the data matching degree of the cost data conforms to the data matching degree standard; if the data matching degree does not conform to the data matching degree standard, matching corresponding target cost data according to the data matching degree standard, and taking the target cost data as updated cost data; and if the data matching degree conforms to the data matching degree standard, generating a cost achievement report of a corresponding engineering project category according to the cost data. The engineering cost consulting business management method and system, terminal equipment and storage medium provided by the application have the effect of improving the standardization of corresponding data processing of engineering cost consulting business.

This invention discloses a blockchain-based engineering cost management system and method, relating to the field of engineering cost technology. It includes a chain storage stage and a weight adjustment stage. The chain storage stage includes the following steps: the management terminal inputs member information and initializes the weight value of each user terminal; the processing unit establishes a blockchain; the user terminal inputs engineering cost content; and the processing unit executes a dual authentication procedure. The dual authentication procedure performs biometric authentication on members and business knowledge authentication on the input engineering cost content. This invention utilizes the chain storage structure of blockchain to ensure the credibility of engineering cost at the audit level. The dual authentication procedure plus cross-validation procedure can ensure that the person operating the user terminal is the member themselves and can also confirm that the operator understands the internal business of the engineering cost team, improving the authenticity of the engineering cost content. The dynamically adjusted weight values ​​can adapt to different engineering cost teams.

The utility model belongs to the technical field of tool boxes, and particularly relates to a project cost management budget tool box which comprises a box body and a hinged box cover, the other end of the hinged position of the box body and the box cover is provided with a hasp for fixing, and the two sides of the box cover are rotationally connected with extension plates through damping rotating shafts respectively. A writing assembly is installed on the extension plate, the box body and the box cover, the writing assembly comprises two U-shaped limiting frames and sliding grooves, and the limiting frames penetrate through the extension plate; the top of the box cover can be used for writing, and the extending plate is kept horizontal by rotating the extending plate upwards and inserting the limiting frame into the clamping groove, so that the writing range is expanded.

This invention belongs to the field of hydropower project cost management technology, specifically providing a method and system for reusing historical cost data of hydropower projects based on standardized coding. The method includes: constructing a material master data dictionary and assigning corresponding master data codes to each material item; collecting core business data from historical projects, preprocessing and fusing the personnel, materials, and machinery data, and establishing a mapping relationship between the personnel, materials, and machinery data and the corresponding material items in the material master data dictionary based on comprehensive confidence, generating a standardized historical database; constructing project feature vectors for new projects and historical projects based on the standardized historical database, determining the weights of each dimension through a combined weighting method, calculating the comprehensive similarity of projects, and outputting a set of similar historical projects; and reusing historical cost data based on the set of similar historical projects, transforming the historical cost data into project cost data for new projects. This invention can improve the standardization of historical cost data and the efficiency of cross-project reuse.

The invention provides a maintenance project cost management and control method and system based on dynamic generation and a decision tree model, and belongs to the technical field of project management and informationization, and the method comprises the steps: obtaining project quota data, and obtaining a comprehensive unit price through employing a comprehensive unit price dynamic generation algorithm; carrying out dynamic budgeting on the current maintenance item by adopting a cosine similarity algorithm to obtain a unit price corresponding to historical data with the highest similarity, and judging whether the unit price is an abnormal unit price or not; if no abnormity exists, the unit price obtained through calculation is adopted to calculate the maintenance project cost; and if the unit price is abnormal, analyzing the abnormal unit price data by adopting a gradient boosting decision tree model, and accounting the maintenance project cost according to a unit price analysis result. According to the invention, through collection and analysis of historical maintenance project data, dynamic generation and an intelligent matching algorithm are combined, a maintenance plan and budget are optimized, resource waste is reduced, it is ensured that the cost of the maintenance project is controlled within a reasonable range, and unnecessary expenditure is reduced.

The invention relates to the field of engineering project cost management, and discloses a cost whole process digital management system and method, and the system comprises a data collection and processing module which is used for fusing multi-source heterogeneous data and constructing a space-time tensor; the intelligent analysis module is used for extracting a state vector by adopting tensor decomposition and establishing a dynamic system equation; the execution control module is used for generating a control instruction based on an H-infinity robust control strategy and a hypergraph model; and the decision interaction module realizes three-dimensional thermodynamic diagram visualization and closed-loop data updating, and the multi-dimensional spatio-temporal data tensor has a four-order structure. According to the method, the fourth-order space-time tensor model is constructed, H-infinity robust control and three-dimensional thermodynamic diagram visualization are introduced, data fusion, dynamic regulation and control and intelligent decision making in the whole process of the project cost are achieved, and the real-time performance and the cooperation efficiency of the system are improved.

The invention discloses a report information acquisition method and system based on project cost management, and relates to the technical field of project cost management. The report information acquisition method based on project cost management comprises the following steps: acquiring a monitoring performance evaluation index; acquiring a transmission stability index; obtaining an early warning execution efficiency score; and obtaining report information. According to the method, whether data acquisition is started or not is determined by monitoring performance evaluation indexes; and then, according to the transmission stability index, whether fault early warning needs to be sent out is judged. And finally, comparing a preset value in a database according to the early warning execution efficiency score to determine whether to generate a report. The effect of improving the data transmission stability of the engineering cost report information in the collection and management process is achieved, and the problem that the data transmission stability is not considered when the engineering cost report information of a material warehouse in a construction site is collected and managed in the prior art is solved.

The invention discloses a power distribution project cost management and control method, device and equipment, and relates to the technical field of project cost management and control, and the method comprises the following steps: coding a cable, and constructing a cost reference library based on the cable code; based on the cost reference library, carrying out optimization calculation on the cable laying path to obtain the installation cost, and quantifying the uncertainty of future operation loss to obtain the operation loss cost; constructing an optimization target in combination with the installation cost and the operation loss cost, and solving the optimization target to obtain the cable optimal area of each cable section; and correcting the optimal area of the cable based on the construction data. The method is used for solving the problem of poor adaptability caused by incomplete consideration of an existing power distribution project cost management and control model.

This application provides a BIM-based method and system for engineering cost management, relating to the field of engineering cost management technology. The method includes: collecting 3D point cloud data of components at the construction site, combining it with geometric attribute data and cost data from the BIM model to generate engineering cost data and establish cost geometric correlation information; performing geometric analysis on the point cloud data to extract 3D deformation data, and constructing a component relationship diagram based on the BIM model; mapping the deformation data and cost information to the relationship diagram, generating a cost deviation probability distribution through a dual-channel convolutional neural network, and finally using a reinforcement learning algorithm to generate a cost compensation strategy and automatically update the BIM database, thereby achieving dynamic adjustment of engineering costs. This application improves the adaptive control capability of engineering costs under construction geometric deformation scenarios.

The application discloses a BIM and big data-based project cost management system and relates to the technical field of cost management, solves the technical problems of poor adaptability of progress early warning threshold, mutual separation of progress and cost control, inability to accurately trace the progress and cost abnormal causes, and inability to dynamically optimize resource allocation, realizes self-adaptive genetic algorithm through budget cost double-layer intelligent deduction and accurate verification to complete multi-dimensional resource optimal allocation of project manpower, materials, machinery and funds, introduces a similar historical project final account correction factor to complete deviation correction, completes algorithm optimization pricing and historical real scene final account calibration double closed loop cost checking, constructs a visual double line progress dynamic research and judgment system, generates a standard plan cumulative completion rate curve based on a BIM4D time sequence model, links real-time collection of construction data to generate an actual completion rate curve, replaces traditional qualitative progress judgment with quantitative deviation amount, and progress deviation degree can be quantified, intuitively and visually presented.

The invention relates to the technical field of project management, in particular to a BIM-based project cost dynamic adjustment method and system, and the method comprises the following steps: carrying out the linkage budget adjustment based on the number of components and the stage progress change, and carrying out the statistics to generate project cost dynamic data. According to the method, time change analysis of the component number is realized through data mapping of component numbers and time nodes, the reference amount data of various components in the budget structure is combined, the actual influence of the component number change on the budget amount is quantified, a continuous conduction path of budget difference is constructed, and a time sequence response relationship of budget adjustment is defined; dynamic statistics and staged optimization control of project cost are realized by acquiring starting and ending time and change records of a construction stage, analyzing a coverage offset ratio of a plan and actual time, associating budget error response and constructing a linkage relationship between time change and budget adjustment; and the dynamic response capability of project cost management and the accuracy of stage cost prediction are enhanced.

The invention relates to the technical field of information management, and provides a project cost management system of a scientific research institution. The system comprises a data acquisition module which is used for acquiring first data from a human resource subsystem, a financial subsystem, an attendance subsystem and an asset subsystem; the filling and reporting module is used for regularly inputting project participation information; the accounting module is used for regularly accounting the research and development cost generated by each research and development resource category of each project of the research and development institution based on the project participation information, the first data and a preset cost accounting rule; the adjusting module is used for calculating a first ratio of the research and development cost generated by each research and development resource category of the project to the total research and development cost generated by the project for each ongoing project, and adjusting the project progress according to the first ratio, the project progress, the project budget and a preset cost ratio of each research and development resource category of the project; and generating research and development resource allocation adjustment suggestions of the project. According to the scheme, the project cost management efficiency and accuracy can be improved.