CN-121981577-A - New energy engineering cost self-adaptive management system based on multi-scale twin

CN121981577ACN 121981577 ACN121981577 ACN 121981577ACN-121981577-A

Abstract

The invention discloses a new energy engineering cost self-adaptive management system based on multi-scale twinning, which relates to the field of new energy engineering construction management and comprises the following steps of constructing a three-layer twinning body model based on a multi-dimensional main data set, carrying out multi-scene simulation on at least one risk factor according to the three-layer twinning body model to obtain a cost expected value and a risk bit interval, monitoring an external disturbance signal in real time, outputting an affected submodel based on current state data of the three-layer twinning body model, carrying out multi-objective optimization on the affected submodel by taking the cost expected value and the risk bit interval as constraint conditions to obtain a rolling plan with a freezing zone and a flexible zone structure, and further generating a cross-project resource allocation scheme to finish the new energy engineering cost self-adaptive management. The invention can solve the problem of the static state of the traditional engineering cost management mode.

Inventors

LIU JIE
SONG ZICHEN
SUN ZHEN
TAN YONGJIAN
SUN ZHICHAO
WANG DANJIANG
DING YI
HAN JING
YU PAN

Assignees

华能国际工程技术有限公司
西安热工研究院有限公司

Dates

Publication Date: 20260505
Application Date: 20260130

Claims (10)

1. The new energy engineering cost self-adaptive management method based on multi-scale twinning is characterized by comprising the following steps of: Collecting multi-source heterogeneous data of new energy engineering, and preprocessing to obtain a unified multi-dimensional main data set; Constructing a three-layer twin body model based on the multi-dimensional main data set, wherein the three-layer twin body model comprises an engineering level, a work area level and a material level; According to the three-layer twin body model, multi-scene simulation is carried out on at least one risk factor, and a cost expected value and a risk bit interval are obtained through prediction; monitoring an external disturbance signal in real time, and outputting an affected submodel when the external disturbance signal exceeds a preset threshold value based on current state data of the three-layer twin body model; taking the cost expected value and the risk partition interval as constraint conditions, and performing multi-objective optimization on the affected submodel to obtain a rolling plan with a frozen zone and flexible zone structure; and generating a cross-project resource allocation scheme according to the rolling plan with the frozen zone and the flexible zone structure, and completing the self-adaptive management of the new energy engineering cost.
2. The adaptive management method for new energy engineering cost based on multi-scale twinning according to claim 1, further comprising the steps of: Acquiring construction period cost and operation period income, carrying out joint modeling, and balancing investment and income through a net present value function; Collecting execution data of the rolling plan in real time, and performing incremental correction on model parameters of the three-layer twin body model according to the execution data; and recording the result of each multi-objective optimization through a hash check and evidence storage mechanism.
3. The method for adaptively managing the cost of the new energy engineering based on the multi-scale twinning according to claim 1, wherein the steps of collecting multi-source heterogeneous data of the new energy engineering and preprocessing are specifically included: And carrying out primary key association and consistency verification on the multi-source heterogeneous data, and resampling the multi-source heterogeneous data in a time dimension to obtain a unified multi-dimensional primary data set.
4. The multi-scale twin-based new energy engineering cost adaptive management method according to claim 1, wherein the three-layer twin body model performs data interaction through an aggregation function and a mapping function, the work area level uploads cost and progress information to the engineering level, and the material level feeds back inventory and price states in real time.
5. The method for adaptively managing the cost of new energy engineering based on multi-scale twinning according to claim 1, wherein the step of performing multi-scene simulation on at least one risk factor according to the three-layer twinning body model to predict and obtain a cost expected value and a risk bit interval specifically comprises the following steps: And calculating the cost fluctuation range of a future period according to the three-layer twin body model, and predicting and outputting a cost expected interval and a risk boundary of each work area and material class as a cost expected value and a risk dividing interval after determining a risk buffering budget pool.
6. The method for adaptively managing the cost of new energy engineering based on multi-scale twinning according to claim 1, wherein the method comprises the steps of monitoring an external disturbance signal in real time, and outputting an affected submodel when the external disturbance signal exceeds a preset threshold value based on current state data of the three-layer twinning body model, and specifically comprises the following steps: establishing a multidimensional disturbance monitoring model of a price index, a supply reliability index, a weather risk index and a policy sensitivity index, and calculating a comprehensive disturbance score through a weighted fusion algorithm; and when the comprehensive disturbance score exceeds the preset threshold value, judging that the external disturbance signal exceeds the preset threshold value.
7. The method for adaptive management of new energy engineering cost based on multi-scale twinning according to claim 1, wherein the step of performing multi-objective optimization on the affected submodel specifically comprises: with the cost expectation, variance and cash flow fluctuation as multiple targets, a rolling optimization strategy is adopted to divide a rolling plan into a frozen zone area and a flexible zone area, and only the flexible zone area is recalculated in each optimization period.
8. The adaptive management method for new energy engineering cost based on multi-scale twinning according to claim 1, wherein the step of generating a cross-project resource allocation scheme according to the rolling plan with the frozen zone and flexible zone structure specifically comprises the following steps: based on the rolling plan, when a material shortage or price anomaly occurs for an individual item, alternative resources are retrieved and a trans-item resource allocation scheme is generated through a shared resource pool that includes inventory, capacity, transport capacity, and fund status.
9. The utility model provides a new energy engineering cost self-adaptation management system based on multiscale twin which characterized in that includes: The data acquisition and treatment module is used for acquiring multi-source heterogeneous data of the new energy engineering and preprocessing the multi-source heterogeneous data to obtain a unified multi-dimensional main data set; The multi-scale digital twin modeling module is used for constructing a three-layer twin body model based on the multi-dimensional main data set, wherein the three-layer twin body model comprises an engineering level, an industrial area level and a material level; The uncertainty cost prediction module is used for performing multi-scene simulation on at least one risk factor according to the three-layer twin body model, and predicting to obtain a cost expected value and a risk bit interval; the disturbance detection and local reconstruction module is used for monitoring external disturbance signals in real time and outputting an affected submodel based on the current state data of the three-layer twin body model when the external disturbance signals exceed a preset threshold value; the constraint optimization and rolling plan generation module is used for taking the cost expected value and the risk partition interval as constraint conditions, and performing multi-objective optimization on the affected submodel to obtain a rolling plan with a frozen zone and flexible zone structure; and the cross-project cooperation and resource scheduling module is used for generating a cross-project resource scheduling scheme according to the rolling plan with the frozen zone and flexible zone structures to finish the self-adaptive management of the new energy engineering cost.
10. The multi-scale twinning-based new energy engineering cost adaptive management system according to claim 9, further comprising: the cost and benefit coupling analysis module is used for acquiring construction period cost and operation period benefit, carrying out joint modeling, and balancing investment and benefit through a net present value function; The execution feedback and self-correction module is used for collecting the execution data of the rolling plan in real time and carrying out incremental correction on the model parameters of the three-layer twin body model according to the execution data; and the visualization and audit tracing module is used for recording the result of the multi-objective optimization each time through a hash check and certification mechanism.

Description

New energy engineering cost self-adaptive management system based on multi-scale twin Technical Field The invention relates to the field of new energy engineering construction management, in particular to a new energy engineering cost self-adaptive management system based on multi-scale twinning. Background With the rapid development of new energy industry, the construction scale of wind power, photovoltaic and energy storage engineering is continuously enlarged, the engineering projects are numerous, the construction period is complex, and the investment is huge. Engineering cost management is used as a core link of project construction, and is directly related to the economy, safety and return on investment of the project. Scientific formulation and dynamic adjustment of the cost plan are important technical bases for ensuring the smooth implementation of new energy engineering. At present, cost management of new energy engineering mainly depends on an artificial budget and a static plan model, data sources are scattered and updated with hysteresis, and plan adjustment is usually completed by a linear revision or artificial experience revision mode. When the external environment fluctuates, such as bulk material price change, weather shutdown, transportation delay or policy adjustment, the traditional system lacks the integrated processing capability and the multi-layer cascade dynamic analysis mechanism for real-time data, and is difficult to form accurate cost prediction and self-adaptive response on the project level, so that the problems of budget deviation expansion, uneven resource allocation, unstable planning and the like are caused. Based on the above-mentioned current situation, there is a need for a cost plan management system capable of performing dynamic modeling and rolling optimization in the multi-level range of engineering, work area and materials, so as to realize real-time cost monitoring, disturbance response and multi-project cooperation of new energy engineering in the construction period, thereby solving the technical problems of static, decentralized and response lag of the traditional cost management mode. Disclosure of Invention The invention aims to provide a new energy engineering cost self-adaptive management system based on multi-scale twinning, which aims to solve the problem of the static state of the traditional engineering cost management mode. In order to achieve the above purpose, the invention adopts the following technical scheme: In a first aspect, a new energy engineering cost adaptive management method based on multi-scale twinning includes the following steps: Collecting multi-source heterogeneous data of new energy engineering, and preprocessing to obtain a unified multi-dimensional main data set; Constructing a three-layer twin body model based on the multi-dimensional main data set, wherein the three-layer twin body model comprises an engineering level, a work area level and a material level; According to the three-layer twin body model, multi-scene simulation is carried out on at least one risk factor, and a cost expected value and a risk bit interval are obtained through prediction; monitoring an external disturbance signal in real time, and outputting an affected submodel when the external disturbance signal exceeds a preset threshold value based on current state data of the three-layer twin body model; taking the cost expected value and the risk partition interval as constraint conditions, and performing multi-objective optimization on the affected submodel to obtain a rolling plan with a frozen zone and flexible zone structure; and generating a cross-project resource allocation scheme according to the rolling plan with the frozen zone and the flexible zone structure, and completing the self-adaptive management of the new energy engineering cost. In some embodiments, the method further comprises the steps of: Acquiring construction period cost and operation period income, carrying out joint modeling, and balancing investment and income through a net present value function; Collecting execution data of the rolling plan in real time, and performing incremental correction on model parameters of the three-layer twin body model according to the execution data; and recording the result of each multi-objective optimization through a hash check and evidence storage mechanism. In some embodiments, the steps of collecting multi-source heterogeneous data of new energy engineering and preprocessing specifically include: And carrying out primary key association and consistency verification on the multi-source heterogeneous data, and resampling the multi-source heterogeneous data in a time dimension to obtain a unified multi-dimensional primary data set. In some embodiments, the three-layer twin body model performs data interaction through an aggregation function and a mapping function, the work area level uploads cost and progress information to the engineering level, a