39 results about "Cost database" patented technology

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 discloses a corrugated carton production management system and method, and relates to the technical field of corrugated carton production, the system comprises a production scheduling module, a material tracing module, an equipment cooperation module, a multi-mode detection module and a cost control module, and solves the problem that supply and demand relationships, production efficiency and quality management and control are not coordinated; according to the technical key points, an order ID is coded into an integer chromosome, sequential crossover and reverse mutation operation are applied, a fuzzy comprehensive evaluation model is constructed by combining Hash chain table and local hill climbing method optimization, and factors are quantified through a trapezoidal membership function, so that the order delivery punctuality rate and the equipment utilization rate are improved, and the mold replacement cost is reduced; the real-time production cost is collected and calculated through Kafka and Flink, an operation cost method model is constructed to maintain a standard cost database, abnormity is detected through a CEP engine, the cost hyper-branched risk is predicted through an LSTM-Transform hybrid neural network, a thermodynamic diagram is generated through a cache result to assist decision making, the cost accounting delay time is shortened, and the hyper-branched processing efficiency is improved.

The invention belongs to the technical field of project cost, and particularly relates to a project cost information acquisition and data mining system and method.The project cost information acquisition and data mining system comprises a heterogeneous data acquisition module for synchronously acquiring BIM model data, Internet of Things sensor real-time data flow and a distributed historical cost database through an API gateway; and the block chain evidence storage unit is connected with the heterogeneous data acquisition module, acquires required data based on the heterogeneous data acquisition module, verifies the acquired original data through the block chain evidence storage unit, writes the original data passing the verification into a Hyperledger Fabric channel, isolates the original data not passing the verification into a sandbox, and pushes an alarm to a supervisor. It can be understood that the verification of the original data based on the block chain evidence storage unit indicates that the original data is not counterfeited if the verification is passed, and indicates that the original data is possibly counterfeited if the verification is not passed, so that the problem of uncontrollable cost caused by data tampering is fundamentally eradicated.

The invention relates to a power transmission and transformation project cost risk whole-process dynamic early warning method and system. The method comprises the following steps: obtaining cost data and reference data of each stage of a power transmission and transformation project, and constructing a standardized cost database; based on a preset risk rule, constructing a risk index system comprising a static risk index, a dynamic risk index and a stage association index; performing real-time comparison and trend prediction on the cost data and reference data by using a preset deep learning model, and accurately identifying cost risk points; determining a risk level according to the deviation degree of the risk point, generating graded early warning information, and pushing the graded early warning information to a corresponding terminal; and the processing result is recorded and the database is updated, so that the whole-process dynamic monitoring and risk early warning are realized, the real-time performance, the accuracy and the decision-making efficiency of the cost risk management are effectively improved, and the problems of early warning lag and incomplete risk coverage in the traditional method are solved.

The invention discloses a building engineering target cost-oriented multi-dimensional data classification input method and system, and the method comprises the steps: aligning BIM space coordinates, construction progress nodes and purchase order data to a space-time grid in response to a multi-source data input instruction, fusing a field instruction document into the space-time grid through text recognition and key information extraction, and carrying out the recognition of the field instruction document; generating a time-space-cost associated data set; analyzing the data set to eliminate regional term ambiguity and ambiguity term ambiguity; extracting an implicit cost item by using a graph neural network, and mapping the implicit cost item with a target cost model; the priority sequence of data entry is dynamically adjusted according to the sensitivity coefficient of the cost item and the progress deviation early warning level of the grid unit where the cost item is located; and performing real-time integrity verification and conflict detection on the high-priority data, inputting the high-priority data into a target cost database in a classified manner, and generating a cost deviation analysis report. According to the method, deep association and ordered entry of data of different structures are realized, and the data classification efficiency and the accuracy of target cost accounting are improved.

The invention relates to the technical field of green low carbon and the technical field of intelligent construction, and discloses a repair scheme evaluation method, device and equipment based on a fabricated structure node, and the method comprises the steps: obtaining a repair scheme of the fabricated structure node when a health value is in a preset damage interval, according to the repair starting time, the repair finishing time and the toughness value model, the toughness value of the fabricated structure node after the repair scheme is implemented is generated; and when the toughness value is greater than a preset threshold value, obtaining the repair cost corresponding to the repair scheme from the cost database, obtaining the total construction period corresponding to the repair scheme from the construction period database, generating the total carbon emission amount of the repair scheme through a carbon emission model, and writing the toughness value, the repair cost, the total construction period, the total carbon emission amount and the comprehensive evaluation value into an evaluation template. And generating an evaluation report of the repair scheme. The method is beneficial for improving the evaluation efficiency of the repair scheme of the assembly type structure node.

A system includes a model database configured to contain model items representing capital project components. Each model item has at least one model item code. The system includes a schedule database configured to contain schedule items representing a portion of a construction schedule. Each schedule item has at least one schedule item code. The system additionally includes a cost database configured to contain cost items representing a cost for the portion of the construction schedule and / or the capital project components. Each cost item has at least one cost item code. A rules engine is configured to receive a rule for mapping model items, schedule items, and cost items. The rule includes a code sequence related to the model item, the schedule item, and the cost item. A mapping engine communicates with the model, schedule, and cost databases to map model, schedule, and cost based on the rules.

The invention specifically relates to a BIM and big data analysis-based construction project construction cost control method, and relates to the technical field of construction project construction management. Cost budgeting and prediction; coordinated management and control of progress resources; cost monitoring and early warning; and collaborative management and system guarantee are realized. According to the method, the BIM model, the Internet of Things and the external data source are integrated, the standardized cost database is constructed, and the accuracy and the real-time performance of the data are ensured; automatically counting the engineering quantity by using a parameterized family library, and predicting a material price trend in combination with an LSTM model in a cost budgeting and predicting stage; generating a cost risk thermodynamic diagram through Monte Carlo simulation, and quantifying the risk probability of each node; meanwhile, indexes such as BCWS and BCWP are calculated in real time based on earned value management, automatic early warning and reason analysis are performed when cost deviation occurs, accurate cost control of the whole process from estimation to budget to construction is achieved, and the cost hyper-branched risk is effectively avoided.

The application discloses a network slice arrangement method and device, equipment and a computer readable storage medium, the network slice arrangement method comprises: obtaining a preset scheme database and a cost database, determining a sub-domain network scheme combination in the scheme database according to input SLA demand; according to the preset optimization dimension and the cost database, the sub-domain network scheme combination is optimized, and a global network scheme is obtained; extract the sub-domain network capability parameter group in the global network scheme, construct a global SLO parameter group according to the sub-domain network capability parameter group, detect whether the global SLO parameter group matches the SLA demand; if matching, output the global network slice configuration template corresponding to the global SLO parameter group, and / or the sub-domain network slice configuration template corresponding to the sub-domain network capability parameter group. The application realizes automatic slice arrangement of network slice.

The invention provides an automatic coal blending control method and device based on real coal price calculation. The method comprises the following specific steps: combining real-time coal prices with boiler operation characteristics under different conditions to establish a dynamic coal quality cost database about boiler efficiency, coal consumption rate, environmental protection cost and heating surface wear cost; taking the blending proportion of coal as a decision variable, establishing a coal blending strategy optimization model taking the power supply comprehensive cost minimization as a target, and determining a model constraint condition; the real-time boiler operation characteristics are input into a coal blending strategy optimization model, and the coal blending strategy optimization model is optimized in a dynamic coal quality cost database based on model constraint conditions to obtain a coal blending scheme with the minimum power supply comprehensive cost; the coal blending scheme is converted into the running time of the coal conveying belt, and automatic coal blending control is achieved. According to the invention, boiler operation characteristics, fuel cost, environmental protection expenditure and equipment maintenance loss are fused, and intelligent fire coal blending decision and execution can be realized.

The invention discloses a distribution network material multi-level cost decomposition and accounting method, and the method comprises the following specific steps: constructing a multi-dimensional special BOM model, and building a structured database; the distribution network material cost is decomposed step by step, and cost data are integrated by using an ERP system to realize refined cost collection; carrying out regression analysis and principal component analysis on the collected cost data, identifying key factors influencing the cost, and predicting a cost change trend; constructing a multiple linear regression model, calculating the cost ratio of each element, and visually displaying the cost ratio by using a data visualization technology; a distribution network material cost database is established, cost data is updated in real time, a data mining technology is used for cost trend analysis, dynamic monitoring and management of cost are realized, and a cost structure is continuously optimized. According to the invention, refined, automatic and dynamic management of the distribution network material cost can be realized, the efficiency and precision of cost accounting are improved, and an effective tool is provided for cost control and management decision of distribution network materials.

The invention discloses a power distribution network construction cost file multi-table automatic analysis and structured storage method and system, and relates to the technical field of power grid project construction cost data processing, and the method comprises the following steps: obtaining a construction cost file set of a target power distribution network project, analyzing construction cost tables in the construction cost file set, and storing the construction cost tables in the construction cost file set; identifying the table type of each cost table and the position relationship thereof in the cost file; based on the table type and the position relationship, identifying the cost role of the data field in each cost table; for the data fields with the same field name but different cost roles, constructing a field-level cost role mapping relation, and generating corresponding cost constraints; and based on cost constraints, performing structured recombination on the cost table analysis data, and writing the data into a cost database. According to the method, the construction cost generation sequence relation reflecting the construction cost forming process is constructed, and the field-level construction cost role mapping and constraint description are established, so that the cross-table role difference and the transmission path of the construction cost elements are effectively controlled.

To provide a seismic isolation building estimation system that allows for easy and accurate estimation of seismic isolation building designs and construction costs. [Solution] The seismic isolation building estimation system is deployed on a platform 1 and connectable via an electronic device 2. It performs estimations based on basic building parameters 21 input via the electronic device 2 and includes a seismic isolation design database 3, a building cost database 4, and a calculation unit 5. Seismic isolation construction design data 31 is stored in the seismic isolation design database 3, and cost data 41 is stored in the building cost database 4. The calculation unit 5 can receive the basic building parameters 21 input via the electronic device 2, inputs the basic building parameters 21 into the seismic isolation design database 3 and the building cost database 4, performs calculations, and generates a seismic isolation building estimation result 51 having a seismic isolation building design and construction cost corresponding to the basic building parameters 21.

The invention relates to the field of intelligent classification of chemical cost databases, in particular to an intelligent data classification method for a chemical cost database, which comprises the following steps: acquiring a chemical material dimension classification result based on a three-dimensional logic judgment system by utilizing the chemical cost database; performing code conversion preprocessing according to the chemical material dimension classification result to obtain a chemical material code conversion standardization processing result; the intelligent data classification result of the chemical cost database is obtained by using the chemical material code conversion standardization processing result, a breakthrough algorithm architecture is established, the classification accuracy is improved to 99% or above, meanwhile, the efficient processing capacity is achieved, concurrent processing of large-batch data is supported, the processing efficiency is improved, and the method is suitable for popularization and application. And meanwhile, dynamic mark low-confidence classification is carried out and abnormal logs are generated, so that the rechecking efficiency is improved.

The invention relates to a distribution network engineering construction system and method cooperating with a terminal and a cloud, and the system comprises a project cooperation management module which is used for responding to an externally input design task, and a terminal creates a distribution network engineering project and generates a control instruction; the data acquisition module is used for receiving the control instruction, acquiring original data and returning the original data to the cloud server; the line layout module is used for receiving the original data to generate a preliminary line layout suggested path of the distribution network project; the project generation module is used for receiving the preliminary line layout suggested path, calling a cloud cost library to carry out cost calculation on the preliminary line layout suggested path, selecting the preliminary line layout suggested path corresponding to the lowest total cost, generating a project budget report of the distribution network project and uploading the project budget report to the cloud; and the cloud collaborative design module is used for receiving the project budget report for deepening design of the distribution network project, obtaining a final distribution network design scheme and transmitting the final distribution network design scheme to the terminal for output.

This application relates to the field of big data verification technology, specifically to a method, apparatus, computer device, storage medium, and computer program product for verifying report data. In response to a verification initiation request, it determines the report to be verified, and based on its report type, determines the target verification rule parsing data corresponding to the report. It then determines the data to be verified based on the verification elements, determines the target verification program based on the verification type, and finally verifies the data to be verified based on the target verification program and the target verification rule parsing data to obtain the verification result corresponding to the report. Based on the scenario of fund report data verification, the verification rule parsing data is decomposed and pre-stored. Business personnel can initiate verification based on the report to be verified, and then directly obtain the verification rules according to the report type to perform the verification. This eliminates the need to redevelop the rule engine, reducing the learning cost for business personnel. The pre-stored verification rules in the database also facilitate flexible rule adjustments by business personnel.

The invention relates to the technical field of construction engineering cost control. The construction engineering cost dynamic management and control method and device, the equipment and the medium are provided, and the method comprises the following steps: performing threshold learning processing on a historical project cost database to generate a multi-stage cost deviation threshold gradient; performing deviation calculation processing on the real-time cost related data and a preset target cost, generating a cost deviation event when the deviation exceeds a multi-level cost deviation threshold gradient, performing responsibility association processing on the cost deviation event and the dynamic topological relation, and generating a responsibility subject association set; performing rule matching processing on the responsibility subject association set and a dynamically loaded service association degree rule base to generate an association strength coefficient set; and performing data encapsulation processing on the association strength coefficient set, generating a differentiated data set, and performing directional pushing processing on the differentiated data set, so as to achieve the technical effects of improving the responsibility subject positioning accuracy, enhancing the key cost deviation identification sensitivity, and optimizing the adaptability of the management and control rule and the construction situation.

The application relates to the fields of green low-carbon technology and intelligent construction technology, and discloses a repair scheme evaluation method, device and equipment based on a fabricated structure node, which comprises the following steps: when a health value is in a preset damage interval, a repair scheme of the fabricated structure node is acquired, a toughness value of the fabricated structure node after the repair scheme is implemented is generated through a repair start time, a repair completion time and a toughness value model; when the toughness value is greater than a preset threshold value, a repair cost corresponding to the repair scheme is acquired from a cost database, a total construction period corresponding to the repair scheme is acquired from a construction period database, a total carbon emission of the repair scheme is generated through a carbon emission model, the toughness value, the repair cost, the total construction period, the total carbon emission and a comprehensive evaluation value are written into an evaluation template, and an evaluation report of the repair scheme is generated. The application is beneficial to improving the evaluation efficiency of the repair scheme of the fabricated structure node.

The invention discloses a data storage method and system for maintenance project construction cost, and relates to the field of information technology and data management.The method comprises the steps that maintenance project construction cost data form a data set; establishing a data standard and a coding rule; establishing a power grid maintenance project construction cost database system; and encrypting the project cost data in the power grid maintenance project project cost database system. The security of data is effectively improved by introducing an advanced multi-level encryption and key management system, and meanwhile, the data recovery capability of the system in the case of faults or disasters is remarkably enhanced in combination with a flexible data backup and recovery strategy. In addition, data access control is greatly optimized through fine-grained user permission management, and it is ensured that operation permissions of different levels of users are accurately distributed and strictly executed. The design not only improves the efficiency and safety of power grid maintenance project construction cost management, but also enhances the real-time performance and accuracy of data processing.

The application provides a metallurgical engineering cost analysis method and device based on material coding, relates to the field of metallurgical engineering, and comprises the following steps: generating a material list by using metallurgical engineering data and the result of searching a material coding library based on material parameters; generating a cost list according to the material list and material cost data searched in a cost database; and performing multivariate analysis on the cost list based on historical costs of metallurgical engineering to obtain a cost analysis result. The application can construct an online workflow system of the whole process by deep integration of the material coding library, reduce the delay of flow transfer, and significantly improve the cost analysis efficiency of metallurgical engineering.

This application discloses a method and system for calculating the development cost of automotive aftermarket technical data deliverables, relating to the field of automotive aftermarket technical data deliverable development cost calculation. The method includes constructing a structured cost database, comprising a cost item database, a cost feature database, and a development cost quota database; receiving development roadmap information associated with the target deliverable; automatically constructing corresponding cost item information and cost item hierarchy relationships in the cost database; automatically recommending cost feature information for each task unit category under the third-level category in the cost feature database; and automatically calculating the development cost of the target deliverable by combining the quota work hour information of the corresponding cost feature combination retrieved from the development cost quota database. This achieves automated and intelligent calculation of development costs, reducing the difficulty and improving the efficiency of cost calculation while also laying the foundation for accurate business quotations.

The invention relates to the technical field of electric power communication evaluation, and discloses a 5G RedCap technology full life cycle cost benefit evaluation method, system, equipment and medium for distribution network automation businesses, and the method comprises the steps: constructing a cost database and a distribution network automation business mapping model, setting an evaluation target, and carrying out the evaluation of the 5G RedCap technology full life cycle cost benefit through a cost model. Calculating the comprehensive cost of the 5G RedCap technology in the distribution network automation scene; and setting a full life cycle cost benefit evaluation system, integrating the multi-dimensional influence factors, and generating a benefit comprehensive evaluation result in combination with the comprehensive cost. According to the invention, scientific quantitative evaluation of the full-life-cycle cost benefit of the 5G RedCap technology in a distribution network automation scene can be realized, and communication technology cost benefit evaluation is combined with distribution network automation service characteristics. The construction cost, the operation and maintenance cost, the energy efficiency cost, the cost effectiveness and the like involved in the distribution network automation application of the 5G RedCap technology are subjected to comprehensive quantification and comparative analysis, and the method has the advantages of being comprehensive in evaluation, accurate in quantification, high in practicability and the like.

The application discloses a power distribution network cost file multi-table automatic analysis and structured warehousing method and system, relates to the power grid engineering cost data processing technical field, and comprises the following steps: obtaining a cost file set of a target power distribution network engineering, analyzing cost tables in the cost file set, identifying table types of each cost table and a position relationship thereof in the cost file; based on the table types and the position relationship, identifying cost roles of data fields in each cost table; for data fields with same field names but different cost roles, constructing a field-level cost role mapping relationship and generating corresponding cost constraints; based on the cost constraints, structurally recombining cost table analysis data and writing into a cost database. The application reflects a cost generation sequence relationship by constructing a cost formation process, establishes field-level cost role mapping and constraint description, and effectively controls cost element cross-table role differences and transmission paths.

The application discloses a power transmission and transformation engineering design cost intelligent settlement system and method, relates to the network engineering technical field of power transmission and transformation engineering, and is characterized in that the application constructs a data chassis with a cost sampling module and a cost database module as cores, integrates core processing units such as cost analysis, review and examination, intelligent settlement and change permission management, and based on prospective cost data insight and intelligent matching algorithms, the system can dynamically generate a high-precision estimated engineering cost table and a structured bidding quotation draft. Finally, through the review and examination and intelligent settlement units, the whole-process automation and meticulous management and control from bidding to settlement are realized. This forms a complete empowerment system from 'data perception' to 'intelligent estimation' and then to 'closed-loop control', significantly enhances the predictability and accuracy of engineering cost management, and realizes closed-loop management of project investment risks.

The invention discloses a home-based care industry cost calculation model optimization system based on a rule machine, and the system comprises a rule machine module which is configured to set and store a cost calculation rule; the cost accounting module is configured to calculate the cost based on the cost calculation rule and the business data and store the cost data to a cost database; a cost database configured to store cost data; the real-time report module is configured to obtain the cost data from the cost database and form a real-time report; and the cost checking module is configured to locate abnormal cost data when abnormal data occurs in the real-time report. According to the invention, aiming at the characteristic of the cost of the home-based care industry, the fusion degree of a business financial system and a business system is optimized, and the problem of precise cost splitting in cost fine measurement and calculation is solved.

The invention provides a distributed data intelligent retrieval method and system based on cost business dimensionality, and belongs to the technical field of computers.The method comprises the steps that a retrieval request and cost database metadata are processed to obtain a retrieval semantic coding feature vector and a project cost metadata semantic feature index; real-time states of the data nodes are obtained, and an effective data node list is generated after authentication and verification; generating a global metadata routing table based on the index meta-information of the valid data nodes; converting the retrieval semantic coding feature vector into a lightweight retrieval signature; based on the retrieval semantic coding feature vector, a global metadata routing table and an effective data node list, decomposing the retrieval request into sub-retrieval sets; and obtaining an optimal query execution plan based on the multi-dimensional constraint factors of the sub-retrieval sets and a query optimization algorithm, distributing the sub-retrieval sets to corresponding target nodes, executing a two-stage retrieval mechanism to obtain a node local retrieval result set, and outputting a retrieval result after processing.

The invention discloses an intelligent construction method and system for a cost database, and relates to data processing, and the method comprises the steps: obtaining a plurality of pieces of cost data with information labels; inputting the cost data into a pre-trained engineering cost field language model, and generating a semantic vector of each piece of cost data; clustering analysis is conducted on the semantic vectors through a fuzzy clustering algorithm, K clustering centers are obtained, each clustering center corresponds to a center vector in a semantic vector space, and the membership degree value of the semantic vector of each piece of cost data to each clustering center is calculated; according to the clustering result and the membership degree value, constructing a multi-path index cost database; in order to solve the problems that in the prior art, cost data has multi-dimensional and cross attribute characteristics, and a traditional tree classification system cannot accurately express the multi-affiliation relation of the cost data, the multi-affiliation analysis and multi-path index construction based on fuzzy clustering break through traditional rigid classification constraints.

The invention relates to the technical field of resource management, in particular to an in-situ soil and underground water integrated bioremediation cost evaluation method, which comprises the following steps: establishing a cost database; pollution data of a to-be-restored site is collected, and n restoration schemes are generated; calculating the total cost and the maximum repair amount of each repair scheme, further calculating a priority index, and taking the repair scheme with the highest priority index as a repair implementation scheme; after a period of time, the pollution data of the to-be-restored site is collected again, the restoration progress is determined, and the used cost is recorded; the cost database is updated, the total cost and the maximum repair amount of all the repair schemes are updated, the priority index is further updated and calculated, and the repair scheme with the highest priority index serves as a new repair implementation scheme; and collecting all the used repair implementation schemes and the lasting time thereof, and then combining into a preset scheme to be stored in a scheme database. According to the method, the total repairing cost can be reduced as much as possible while the repairing quality is guaranteed.

The invention relates to a power distribution network business expansion project investment review method and system and a medium, and the method comprises the following steps: extracting the cost data of a to-be-reviewed power distribution network business expansion project, carrying out the classification according to a five-calculation data standard system, and constructing a power distribution network business expansion project cost database; an improved multiple character string mode matching algorithm is adopted, data in the power distribution network business expansion project cost database and data in a reference database are compared and analyzed, a power distribution network business expansion project investment review result is obtained, and the reference database comprises a material information sub-database, a cost index sub-database and a policy and regulation sub-database; in the improved multi-character string mode matching algorithm, the number of times of matching attempts in the character string matching process is minimized based on a skip list and a double hash technology. Compared with the prior art, intelligent standard checking can be efficiently carried out on the cost data, and the efficiency and accuracy of power distribution network business expansion project cost management are improved.

The application relates to a power transmission and transformation project cost risk whole-process dynamic early warning method and system. The method comprises the following steps: acquiring cost data and benchmark data of each stage of a power transmission and transformation project, and constructing a standardized cost database; based on preset risk rules, a risk index system containing static risk indexes, dynamic risk indexes and stage correlation indexes is constructed; a preset deep learning model is used to compare and trend forecast the cost data and the benchmark data in real time, and accurately identify cost risk points; the risk level is determined according to the deviation degree of the risk points, the graded early warning information is generated and pushed to the corresponding terminal; the processing result is recorded and the database is updated, the whole-process dynamic monitoring and risk early warning are realized, the real-time performance, accuracy and decision efficiency of the cost risk management are effectively improved, and the problems of early warning lag and incomplete risk coverage in the traditional method are solved.