128 results about "Cost control" patented technology

The invention relates to the technical field of project cost management, in particular to a project cost-oriented information management method and system, and the method comprises the following steps: carrying out multi-source data collection and standardization processing, carrying out the automatic calculation, logic verification and correction of a project amount based on an AI calculation amount engine and a rule engine, and generating a precise project amount list; calling a dynamic pricing model, carrying out deviation analysis on the actual cost and the plan cost based on a earned value analysis method and a machine learning model, predicting the cost hyper-branched risk, and carrying out graded early warning; constructing a multi-participant collaborative platform, and supporting change application submission, associated cost influence calculation, online examination and approval, problem tracking and progress synchronization; the whole-cycle data is classified and archived, an enterprise-level cost index library is generated based on historical project data, cost reference is provided for a new project, and the method is suitable for cost information efficient management and cost control of the whole life cycle of constructional engineering, municipal engineering, installation engineering and the like.

The invention discloses an order-driven cross-factory collaborative production system, and relates to the technical field of intelligent manufacturing and supply chain collaboration, and the system obtains the productivity data, logistics cost and tax policies of a plurality of production bases such as Ningbo, Thailand and America in real time, and carries out the intelligent splitting and distribution of orders through a multi-base productivity game algorithm. And dynamic optimal matching of the order and the productivity is realized. Meanwhile, the system integrates WMS inventory data and third-party logistics real-time quotation, a transportation scheme with the lowest total cost is generated by adopting a genetic algorithm, and cross-border logistics and tax expenditure are remarkably reduced. The system overcomes the problems of information isolated island, response lag, extensive cost control and the like in traditional multi-factory production, realizes global productivity collaborative optimization and supply chain integrated intelligent decision, and improves the enterprise order performance efficiency and the overall resource utilization rate.

The invention relates to the technical field of engineering cost dynamic measurement and calculation, in particular to an intelligent engineering cost dynamic measurement and calculation and cost control method and system. Comprehensive influence factors of nodes can be extracted from a complex construction task incidence relation through a graph convolutional network; comprising resource intensity, progress sequence and potential resource conflict problems, so that accurate identification of key construction paths is improved, the real-time feedback capability of project progress and cost is enhanced, dependence of a traditional budget model on static factors is effectively avoided, project decision is optimized according to real-time changes, and the construction efficiency is improved. The efficient distribution of budget and resources is ensured, through the application of the non-dominated sorting genetic algorithm, and according to the residual budget, the construction period and the resource value, comprehensive evaluation and node screening optimization are carried out, so that project management can flexibly adjust the budget and the construction period based on the actual situation, the situation of unreasonable fund scheduling or resource waste is avoided, and the project management efficiency is improved. And the accuracy and flexibility of engineering project management are improved.

The invention relates to the technical field of project accounting, in particular to a small and medium-sized enterprise single-project accounting method based on a business financial minimum data unit, which comprises the following steps of: matching collection and fulfillment nodes, distributing account affiliation, marking change of difference between income and expenditure directions, generating a cash flow recursion path, and uniformly writing in details of a total classification account to obtain accounting chain structure data. According to the method, time matching and amount identification of project collection information are realized by mapping contract node amounts and actual collection data in sequence, a node amount association chain with clear affiliation is constructed in combination with a mode of matching receivable nodes with account amounts step by step, and a linkage judgment mechanism of voucher numbers and revenue and expenditure identification is matched; according to the method, the income and expenditure directions of each stage of the project are distinguished, the fund change trajectory is reflected by sequence number difference operation, the directions of positive and negative items of cash flow are clear, and the response speed and accuracy of single-project accounting in dynamic fund tracking, cost control and accounting concentration are effectively improved.

The invention discloses a high-frequency vibration absorption fastener design method for restraining local bending mode vibration of a steel rail. The method comprises the following steps that a finite element analysis model of the steel rail is established according to the set length and steel rail parameters, a rail model under the harmonic excitation condition is established, and a relational expression met by the overall rigidity and damping of a double-layer fastener model is established; constructing a kinetic equation of vertical movement of the iron base plate; constructing a target optimization function for designing the track fastener system based on the error; and constructing a cost model of the fastener in the production process, optimizing cost control of fastener design, outputting the quality of the iron base plate, the rigidity of the upper layer structure and the rigidity of the lower layer structure under the optimal cost control, and designing the fastener system. According to the method, high-feasibility solutions are provided for relieving local bending modal vibration of the steel rail, high-order polygons of wheels and corrugation of the steel rail.

The invention relates to the technical field of system dynamics, and discloses an electricity certificate carbon market price analysis method and system based on system dynamics, and the method comprises the steps: S1, determining the main body of a green certificate transaction market and the main body of a carbon emission permit transaction market, and determining a renewable energy power generation mode; s2, constructing a TCC cost control mechanism; s3, TCC cost is calculated according to a TCC cost control mechanism; s4, establishing stock flow dynamic model frames of the green certificate market and the electricity market and the carbon emission permit trading market and the electricity market, and combining the two dynamic model frames to generate an electricity certificate carbon market stock flow dynamic model frame; and S5, analyzing the electricity evidence carbon market price. The system comprises an information input unit, a mechanism construction unit, a calculation and analysis unit and a system dynamics model framework construction unit. According to the method, the system dynamics and the method for controlling and optimizing the TCC cost are combined, and the analysis accuracy and reliability are improved.

The invention relates to a self-learning algorithm for collecting the quality of a field communication network, which is based on an Actor-Critic algorithm and QoS (Quality of Service) evaluation, realizes strategy learning and value evaluation by collecting multi-dimensional QoS data in real time and utilizing a neural network, and optimizes network selection in a long term, and comprises the following processes: data collection and preprocessing; carrying out model training based on Actor-Critic; a decision execution and feedback optimization mechanism; and performing energy consumption management and switching cost control. According to the method, the Actor-Critic learning algorithm and QoS evaluation are taken as a reward function, a switching cost penalty mechanism is introduced, the network quality is comprehensively evaluated, accurate switching is realized, unnecessary switching is reduced, the network stability is improved, the equipment can adapt to environment change and optimize a switching strategy, the switching strategy is automatically adjusted according to network characteristics in different time periods, and the network quality is improved. And a historical data optimization long-term strategy is adopted, and a power consumption factor is introduced, so that low-power-consumption intelligent switching is realized, the endurance time of the equipment is prolonged, and the communication reliability and stability of the network equipment are improved.

The utility model provides a refrigerant filling machine to solve the problem that in the prior art, a large amount of manpower and time cost are consumed for achieving high-precision filling. The refrigerant filling machine comprises a booster pump, a storage tank, an electronic scale, a control system, a filling pipeline, a pressure sensor, a roller and a storage chip. The refrigerant filling machine is excellent in cost control, traditional complex assemblies are abandoned, the booster pump and the high-precision online electronic scale are combined, and the manufacturing, debugging and maintaining cost is reduced. The electronic scale monitors the weight in real time, the control system performs comparison operation, and the error of the filling amount is controlled within five thousandths. The whole filling process is automatically executed by a control system, and an operator only needs to simply set parameters and start operation to complete a refrigerant filling task. The outer wall of the storage tank is connected with an external power supply through the leakage protector, the power supply is automatically cut off during leakage, and the alarm sends out a signal during abnormity.

The invention relates to the technical field of international trade logistics path planning, in particular to an international trade logistics path planning method and system based on multi-dimensional data. According to the method, multi-dimensional data such as policies and regulations, economic stability, market opening degree and infrastructure construction are comprehensively considered, the trade convenience and trade stability of a trade country can be more comprehensively evaluated, logistics path planning is more accurate and scientific through comprehensive consideration of the multi-dimensional data, and the logistics path planning efficiency is improved. One-sidedness and misleading possibly caused by single-dimension data are effectively avoided, so that a better international trade logistics path is planned, the risk of international trade is reduced, and the international competitiveness of an enterprise is improved; the technical problem that the optimal logistics efficiency and cost control cannot be realized possibly because the complexity and diversity of political economic environments of different countries are not fully considered in the design and planning of logistics paths in the process of international trade activities at present is solved.

The invention discloses a whole-process project cost consultation management system. According to the invention, the budgeting module realizes fine management of budgeting through an internal refining sub-module. The data acquisition sub-module ensures the real-time performance and accuracy of budget data, and avoids errors and delay of traditional manual input. The budget modeling sub-module establishes a scientific budget model by using historical data and algorithms, and improves the prediction accuracy of budget. The intelligent recommendation sub-module provides intelligent suggestions for budgeting based on a collaborative filtering algorithm, assists manual decision making, and reduces human errors. The dynamic adjustment sub-module adjusts the budget in real time according to the market change and the project progress, and ensures that the budget conforms to the actual situation. Through cooperative work of the sub-modules, the accuracy and efficiency of budgeting are greatly improved, and a solid foundation is laid for cost control and fund management of a project.

The invention relates to a user behavior fused flow casting dynamic pricing method and device, equipment and a medium. The method comprises the steps of obtaining an original behavior log of a user, performing feature extraction processing on the original behavior log, generating a structured behavior feature vector, performing quantification processing on the structured behavior feature vector, and generating a user-level behavior willingness index; historical transaction data is obtained, the user-level behavior willingness index and the historical transaction data are input into a price elasticity prediction model for processing, a user-level real-time price elasticity coefficient is output, and the price elasticity prediction model is constructed based on a random forest algorithm and a gradient boosting algorithm; and performing dynamic bidding calculation processing based on the user-level real-time price elasticity coefficient and a basic bidding parameter preset by the advertiser to generate a final optimized bidding. According to the method, user behavior feature analysis, price elasticity prediction and dynamic bidding calculation are fused, individuation of flow casting dynamic pricing is achieved, the rate of return on investment of advertisement putting is effectively increased, and cost control is optimized.

The invention discloses a multi-objective optimization decision-making method and system for sewage treatment based on OLAP reinforcement learning, and solves the problems that an existing sewage treatment control method neglects carbon emission, is extensive in cost control and does not integrate a carbon transaction mechanism. The method comprises the following steps: constructing an OLAP cube, and generating an optimal historical strategy set; establishing a state set according to the sewage environment parameters and the carbon price; an action set is established according to the optimal historical strategy set, and an action priority strategy is set according to the carbon emission weight partition; establishing a multi-target reward function dynamically adjusted according to the carbon price; constructing each controller agent model for training until the strategy converges; and dynamically outputting an optimal strategy by the intelligent agent according to the change of the carbon price. According to the method, a multi-dimensional OLAP cube is constructed to analyze the incidence relation between key variables, a plurality of process control agents are constructed, reinforcement learning collaborative optimization of working condition adjustment is achieved, the carbon emission item optimization weight is adjusted according to the real-time carbon transaction price, and dynamic policy adaptation is achieved.

The invention discloses a full-link coverage logistics optimization method, which comprises a goods picking step and a goods allocation step, and the goods picking step comprises a goods taking mode judgment step which comprises a whole vehicle transportation mode and a circulating goods taking mode; and when the goods taking mode is a circulating goods taking mode, determining a goods taking transportation path and a loading scheme, determining the loading scheme comprises determining a loading sequence and determining a loading position, and the goods taking transportation path comprises paths between suppliers and between the suppliers and goods picking bins. According to the full-link coverage logistics optimization method, multi-customer, multi-cargo-warehouse and multi-supplier order demands are considered, joint optimization is carried out on an existing path planning system in three links of front-end cargo picking, trunk transportation and turnover appliance management, the efficiency and cost control capability of automobile logistics are comprehensively improved, transportation resources are reasonably scheduled, and the transportation efficiency is improved. And the logistics cost is reduced.

The invention belongs to the technical field of constructional engineering, and particularly relates to a self-adaptive constructional engineering cost control method and system. A load sensor installed on a tower crane is used for monitoring the weight of a hoisted material, the number of hoisting times is combined, the real-time using amount of the material is calculated through a formula, and a big data analysis technology and a machine learning algorithm are used for constructing a cost prediction model. Factors such as manual efficiency change coefficients at different construction stages, shutdown time length caused by abnormal weather and additional cost coefficients caused by the shutdown time length are considered, and the cost change trend can be accurately reflected; the problems that a traditional construction engineering cost control method cannot adapt to various uncertain factors in engineering, so that cost prediction is not accurate, and coping strategies are lacked are solved, cost hyper-branched and resource waste are prevented, and the problems of accurate control and efficient management of cost are solved.

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 invention belongs to the technical field of aircraft test design, and particularly relates to a method and a device for determining risks of a manufacturer and an ordering party in a testability test. The method comprises the following steps: step S1, obtaining influence factors of a contractor risk and an ordering party risk; s2, calculating the maximum feature root of a first matrix constructed by the importance among the influence factors, and meanwhile, calculating the maximum feature root of a second matrix constructed by the influence degrees of the influence factors on the acceptor and the ordering party; s3, calculating a correction amount according to a ratio of the maximum feature root of the first matrix to the maximum feature root of the second matrix; and S4, according to the correction amount, correcting a given acceptor risk and a given ordering party risk. According to the method, the design requirements of the acceptor risk and the ordering party risk are met, and scientific balance between cost control and risk prevention and control is realized.

The invention discloses an intelligent construction cost control method and system, and relates to the technical field of cost control, and the system comprises a construction detection end, a cost prediction end and an influence scheduling end. The construction detection end is used for formulating a planning scheme of a construction project and timely judging whether the construction cost in different periods is abnormal or not; the cost prediction terminal predicts whether construction stagnation occurs in advance; and the influence scheduling end is used for performing abnormal scheduling and complementing on the construction cost of the project cost in real time through the planning scheme of the construction project when construction delay or construction stagnation occurs, and adjusting the construction decision of the planning scheme in time. According to the intelligent construction cost control method and system, real-time control and abnormity judgment are carried out on the cost planning of the whole life cycle of the project in time, whether the construction time is prolonged or not is predicted according to the influence of the environment on construction, and abnormity scheduling and complementing can be carried out on the construction cost of the project in time.

This invention belongs to the field of coal procurement technology, and relates to a procurement decision-making method and system based on multi-timescale coal demand forecasting. It includes: acquiring power generation influencing factor data at at least two time scales, and generating power generation forecast values ​​corresponding to each time scale based on the power generation influencing factor data; fusing the power generation forecast values ​​at each time scale to obtain a fused power generation forecast value; decomposing the fused power generation forecast value into initial demand quantities for different coal types according to the consumption rate of each generating unit for different coal types, and adjusting the initial demand quantities according to a preset blending strategy to obtain the target demand quantity for each coal type; acquiring coal price time series data for each coal type, and generating future coal price forecast values ​​for each coal type based on the coal price time series data; and determining a procurement decision scheme based on the target demand quantity for each coal type and the coal price forecast value. This invention achieves accurate decision-making and cost control in fuel procurement.

This invention relates to the field of power system demand response technology, and provides a user demand response method based on master-slave game theory under cost control constraints. The method includes: establishing a demand response model using master-slave game theory, where electricity retailers design time-of-use pricing strategies, and electricity users respond based on a convex utility function; the utility function includes a quantification term for electricity usage satisfaction and a calculation term for electricity costs; the electricity retailers' revenue function includes four functions: user electricity costs, long-term market electricity purchase costs, current market electricity purchase costs, and conditional risk value, coupled with the characteristics of the electricity spot market and risk management requirements; proving the existence of a Nash equilibrium solution using backward induction; and optimizing the strategy based on a slime mold optimization algorithm. This invention provides important support for electricity retailers to formulate flexible pricing mechanisms and tap demand-side resources in terms of cost control for users with high response potential and optimization of peak-valley load differences.

This invention relates to the field of garment production chain collaboration, specifically disclosing a method for querying and quoting garment styles based on the SKU dimension. The method includes: creating and distributing query forms supporting multi-dimensional selection by style, style color, and style color code SKU; the supplier terminal generating a quotation based on the query form, calling its internal standard component cost library to calculate details for SKU entries, updating the status to "quoted" and generating a unique version record after confirmation; the brand performing operations such as accepting or rejecting the quotation; and after order completion, using actual production cost data to calibrate the supplier's standard cost library. This invention achieves refined cost control from the style level to the SKU level, ensures the rigor and traceability of the collaborative process through a versioned state machine, and realizes self-optimization of the cost model through a data closed loop of quotation-production-calibration, significantly improving the collaborative efficiency and cost control capabilities of the garment supply chain.

The invention provides an intelligent warehouse management method based on a WMS, and relates to the technical field of intelligent warehouse, and the method comprises the following steps: 1, environment risk quantitative management: firstly, collecting warehouse environment data through an Internet of Things sensor network integrated by the WMS; then establishing an environmental risk evaluation model, and calculating the risk coefficient of each storage location; according to the invention, an end-to-end smart warehouse management closed loop is constructed through an environmental risk quantification model, a dynamic scheduling decision, multi-party collaborative auditing and dominant cost control; wherein discrete monitoring data is converted into a linkage scheduling instruction, and the splitting state of risk perception and disposal in a traditional WMS is broken; the problem of quality loss caused by single-dimensional scheduling is solved through a two-dimensional decision rule fusing the environmental risk and the service emergency degree; multi-party data mutual trust is realized based on an alliance chain, and a cross-mechanism collaboration barrier is eliminated; and through a risk quantification cost model, the implicit disposal cost is visualized.

The invention relates to the technical field of financial examination and approval, in particular to a financial examination and approval process optimization method. The method has the advantage that the service functions are comprehensive. The system totally comprises 13 large function modules and 35 small function modules, various business activities related to financial management are comprehensively covered from income, budget and reimbursement to travel, vehicle and project management, and complete informatization support is provided. Each functional module meets the requirements of different users and is seamlessly integrated with other modules, so that the high collaboration of the whole financial management process is ensured, and cost control rules are fused. Various cost control rules including budget limitation, approval processes, cost policies and the like are fully considered in the design of the system. The system can automatically detect and execute the rules and perform early warning on abnormal conditions, the efficiency and accuracy of cost control are improved, the system supports custom approval processes, and financial personnel are allowed to configure approval personnel and approval steps according to actual needs.

The present application relates to a kind of facing polynomial fuzzy control system cost control stability judging method, comprising the following steps: establishing polynomial fuzzy model;According to the first SOS condition based on Lyapunov function, try to solve the first polynomial matrix and the second polynomial matrix, omit non-convex term in solving process, judge whether it is successful, if yes, based on the first polynomial matrix and the second polynomial matrix, obtain feedback gain;Based on feedback gain, according to the second SOS condition, try to solve positive definite matrix, judge whether it is successful, if yes, based on positive definite matrix, construct polynomial Lyapunov function, realize cost control analysis based on polynomial Lyapunov function.Compared with prior art, the present application solves the non-convex optimization problem in cost control in two steps, avoids the influence of the constraint existing in input matrix itself on the flexibility of fuzzy control system design, and improves the performance of control system by obtaining the numerical value of cost J.

The invention relates to the technical field of digital production systems, in particular to a raw material inventory management method based on an MES system, and the method comprises the steps: obtaining raw material demands and production data during production based on the MES system, and calculating the equipment fault probability, the order insertion probability, the supply chain delay probability and the environmental risk probability according to the production data; and obtaining a raw material demand fluctuation coefficient according to the probability, and finally performing inventory management according to the raw material demand and the fluctuation coefficient. According to the invention, by constructing the multi-dimensional risk prediction mode and adjusting the inventory, raw material demand transaction can be pre-judged in advance, the superimposed influence of emergency order insertion and conventional production on raw material consumption is effectively balanced, the supply guarantee rate is also considered, the scientificity and adaptability of inventory management are significantly improved, and the method is suitable for large-scale popularization and application. Self-adaptive optimization of the inventory level in a complex production environment is realized, the method has double values of cost control and supply chain toughness improvement, and the problem of frequent occurrence of stockout and overstock conditions in an existing inventory management method is solved.

The invention discloses a DRG-based hospital cost management system, and relates to the technical field of management systems, and the technical key points are that the system comprises a cost accounting module and a cost control module, the cost accounting module comprises a department cost accounting module, a project cost accounting module and a DRG, and the department cost accounting module and the project cost accounting module form a cost accounting module; and the cost control module comprises a cost beforehand control module, a cost in-event control module and a cost after-event assessment module. According to the invention, various indirect costs can be accurately allocated to the DRG cost, and the accounting result can also be used for scientifically analyzing the cause of the loss of the disease group. The method is suitable for accurate accounting of DRG cost in fair hospitals. The comprehensive reform of the DRG payment mode can promote fair hospitals to actively transform to a refined cost management mode, the medical service quality is better improved, and medical resources are more reasonably applied.

The invention relates to the field of business travel cost control, in particular to an employee business travel behavior optimization and cost control method and system based on consumption data, and the method comprises the steps: collecting business travel consumption data of employees within a reference time T, and carrying out the subdivision of the business travel consumption data according to the consumption types; based on the consumption data, calculating a reputation score of the employee, specifically, for each type of consumption behavior of the employee, calculating a single consumption influence score of the employee; performing weighted summation on all consumption data of the employees within the reference duration T based on the single consumption influence score in combination with the time attenuation factor to obtain dynamically updated employee reputation scores; according to the employee reputation score, performing employee reputation grade division in combination with an employee consumption frequency parameter k value; and according to the reputation level and the consumption category, carrying out differential adjustment on the travel expense standard. And the reputation score is calculated according to the consumption behavior, so that the top-order reservation phenomenon is avoided, unnecessary waste is reduced, and the business travel cost is reduced.

The invention discloses a welding production process cost management system and method. The method comprises the following steps: acquiring basic production process data of each process in the welding production process through a data acquisition module; business data analysis is conducted on the basic production process data through a business processing module based on a preset variable dictionary, business detailed data of all production process businesses are obtained, and variable parameters in data calculation are stored in the variable dictionary; and generating a cost summary report corresponding to the to-be-calculated cost item type through a cost summary module according to the to-be-calculated cost item type and the business detailed data. Unified integration of multi-source data, automatic and accurate cost calculation and full-life-cycle management are achieved, and accurate data support is provided for enterprise cost control and strategic decision making.

The invention relates to the technical field of cost accounting, and discloses an offline production caliber cost accounting method, which comprises the following steps: building a cost accounting data model to provide a basis for improving the efficiency and accuracy of cost management, optimizing resource configuration and supporting decision making; establishing a uniform interface platform of the integrated heterogeneous system, and collecting actual production data of the offline caliber; and accounting the output of offline products of different production lines according to a cost accounting model. The method achieves the accounting of the production cost at the product offline time node of the iron and steel enterprise, and improves the management and control timeliness level of the production cost. A uniform interface platform of an integrated heterogeneous system is established, and actual production data is collected according to production characteristics of different production lines, so that an accounting result is close to actual production to the greatest extent; the informatization system implemented based on the method realizes the function of timing automatic cost accounting, avoids a large amount of tedious and low-efficiency work, and saves a large amount of labor cost.

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.