CN-122001296-A - Dynamic environment adaptability evaluation system for power generation efficiency of photoelectric curtain wall

CN122001296ACN 122001296 ACN122001296 ACN 122001296ACN-122001296-A

Abstract

The invention discloses a dynamic environment adaptability assessment system for generating efficiency of a photoelectric curtain wall, which adopts a three-layer architecture of multi-source perception-dynamic modeling-self-adaptive assessment, wherein the system comprises a perception layer which is a multi-dimensional sensing network and comprises an optical, thermal, electric and environment perception module for acquiring real-time data of the photoelectric curtain wall and surrounding microenvironment, an analysis layer which is an adaptive model engine and comprises a photoelectric curtain wall-microenvironment coupling digital twin model and a hybrid machine learning self-adaptive assessment module for calculating dynamic generating efficiency, carrying out short-term prediction, anomaly detection and generating a dynamic datum line, and an application layer which comprises an assessment and decision module for realizing dynamic efficiency assessment, fault diagnosis and output optimization suggestion.

Inventors

WANG JINHAI
YU PENG
ZHU LIN
SHI BOCHEN

Assignees

江苏恒尚节能科技股份有限公司

Dates

Publication Date: 20260508
Application Date: 20260206

Claims (9)

1. The dynamic environment adaptability assessment system for the power generation efficiency of the photoelectric curtain wall is characterized by adopting a three-layer architecture of multi-source perception-dynamic modeling-self-adaptive assessment, comprising a perception layer, an analysis layer and an application layer; The sensing layer is a multi-dimensional sensing network and is used for collecting real-time data of the photoelectric curtain wall and the surrounding microenvironment, and comprises an optical sensing module, a thermal sensing module, an electrical sensing module and an environment sensing module; The analysis layer is an adaptive model engine and comprises a photoelectric curtain wall-microenvironment coupling digital twin model and a hybrid machine learning adaptive evaluation module, wherein the digital twin model is used for calculating the dynamic power generation efficiency of the photoelectric curtain wall based on real-time acquisition data, and the hybrid machine learning adaptive evaluation module is used for short-term prediction, anomaly detection and dynamic reference line generation of the power generation efficiency; The application layer comprises an evaluation and decision module for realizing dynamic efficiency evaluation, fault diagnosis and optimization suggestion output.
2. The dynamic environmental suitability assessment system for the power generation efficiency of the photoelectric curtain wall according to claim 1, wherein the optical perception module comprises a sensor for measuring irradiance on the surface of the curtain wall, an image acquisition unit for monitoring sky blinds and a posture sensor group for measuring sunlight incidence angles; the thermal sensing module comprises an imaging unit for monitoring the temperature distribution of the surface of the curtain wall, a contact sensor for measuring the temperature of the photovoltaic cell and a sensor for measuring the temperature and the humidity of the environment; The electrical sensing module comprises a scanning unit for acquiring current-voltage characteristics, a unit for monitoring the tracking efficiency of the maximum power point and a unit for acquiring output data of the power conversion equipment; The environment sensing module comprises a sensor for measuring local wind speed and direction, an optical detection unit for evaluating the dust amount on the surface area of the curtain wall and a sensor for monitoring rainfall and surface water flow states.
3. The dynamic environment adaptability assessment system for the power generation efficiency of the photoelectric curtain wall, as set forth in claim 1, is characterized in that the photoelectric curtain wall-microenvironment coupling digital twin model comprises a physical submodel and a dynamic efficiency calculation function, wherein the physical submodel comprises a photovoltaic electrical model, a three-dimensional thermal distribution model, a ray tracing model and a dynamic dust accumulation model; The dynamic efficiency calculation function is used for dynamically correcting the power generation efficiency under the standard test condition by multiple factors based on the real-time data acquired by the sensing layer, wherein the correction factors comprise temperature distribution, sunlight incidence angle, spectrum distribution, dust accumulation transmissivity, shadow shielding and component electrical mismatch.
4. The dynamic environmental suitability assessment system for photovoltaic curtain wall power generation efficiency of claim 1, wherein the hybrid machine learning adaptive assessment module comprises: the short-term prediction unit adopts a time sequence prediction model, and outputs a power generation amount and an efficiency prediction value in a future period based on a historical and real-time power generation and environment data sequence; The anomaly detection unit adopts an unsupervised anomaly detection model and is used for identifying performance attenuation, hot spots and circuit faults of the photoelectric curtain wall; and a dynamic reference line generating unit for generating an expected performance curve based on the history data of similar environmental conditions and calculating a dynamic performance ratio.
5. The dynamic environmental suitability assessment system for the power generation efficiency of a photoelectric curtain wall according to claim 1, wherein the system further comprises an edge computing node and a data transmission unit; The edge computing nodes are distributed and deployed and are used for preprocessing local sensor data; The data transmission unit adopts a layered communication architecture to realize data transmission from the sensor to the edge computing node and then to the central server.
6. The dynamic environment adaptability assessment system for the power generation efficiency of the photoelectric curtain wall according to claim 1, wherein the system further comprises a system verification and calibration unit, and the calibration method of the system verification and calibration unit comprises the steps of selecting clear stable weather as a reference day, deploying a high-precision insolation intensity meter and a standard photovoltaic module as reference equipment, performing data consistency cross verification between different sensors, and continuously comparing a model prediction result with an actual power generation amount to finish model iterative calibration.
7. The system for dynamic environmental suitability assessment of photovoltaic curtain wall power generation efficiency according to claim 1, wherein the specific outputs of the assessment and decision module comprise Dynamic Performance Ratio (DPR), environmental suitability index (EAI) and loss decomposition analysis report; The loss decomposition analysis report is used for quantifying the respective duty ratios of temperature loss, shadow loss, dust accumulation loss, spectrum mismatch loss and incidence angle loss.
8. The dynamic environment adaptability assessment system for the power generation efficiency of the photoelectric curtain wall according to claim 1, wherein various sensors of the sensing layer are miniaturized, wireless and modularized, and are mounted on the surface or inside of the photoelectric curtain wall in a sticking or embedding mode; The sensor takes electricity from the curtain wall in an energy collection mode and is assisted with a miniature battery as a standby power supply.
9. The dynamic environmental suitability assessment system for photovoltaic curtain wall power generation efficiency of claim 1, wherein the application layer further comprises a visual interaction module for providing a visual interface comprising: A three-dimensional thermodynamic diagram of the surface of the photoelectric curtain wall dynamically displays efficiency distribution, temperature distribution and irradiance distribution; the time sequence comparison graph of the key parameters is used for showing the comparison of the predicted value and the actual value and the performance curves under different environmental conditions; an energy loss path Sang Jitu; and maintaining the decision board, and displaying cleaning advice, fault early warning and system optimization schemes in real time.

Description

Dynamic environment adaptability evaluation system for power generation efficiency of photoelectric curtain wall Technical Field The invention belongs to the technical field of new energy utilization and intelligent building, and particularly discloses a dynamic environment adaptability evaluation system for the power generation efficiency of a photoelectric curtain wall. Background The photoelectric curtain wall is used as an important form of building energy conservation and distributed power generation, and the power generation efficiency is influenced by various complex and dynamic environmental factors, such as solar irradiance, incident angle, temperature, dust accumulation, local shadow and the like. The traditional evaluation method is mostly based on a static model or a single environmental parameter, and is difficult to accurately reflect the real performance of the photoelectric curtain wall under the actual operation working condition and the process of dynamic interaction with the environment. The prior art generally suffers from the following disadvantages: Data sensing is one-sided, and depends on a single or a small number of sensors (such as monitoring irradiation or current only), and lacks multi-dimensional synchronous sensing of curtain wall surface microenvironments (such as three-dimensional temperature fields, dust distribution and local wind speed). Model static stiffness, namely, an evaluation model is a physical model with fixed parameters or a statistical model based on specific historical data, cannot adaptively follow environmental changes and component aging to carry out dynamic correction, and has limited prediction accuracy. The evaluation lag is isolated, fault diagnosis and performance evaluation are often carried out after the efficiency is obviously reduced, short-term prediction and abnormality early warning capability based on real-time data are lacked, and specific contribution of different environmental factors to efficiency loss is difficult to quantify. The system output is mostly original data or simple index, and the visual depth analysis, loss root decomposition and specific optimization maintenance suggestion after multi-source information fusion are lacked. Therefore, it is necessary to invent a dynamic environmental adaptability assessment system for the power generation efficiency of the photoelectric curtain wall to solve the above problems. Disclosure of Invention In order to overcome the defects in the prior art, the invention provides a dynamic environment adaptability assessment system for generating efficiency of a photoelectric curtain wall, which adopts a three-layer architecture of multi-source perception-dynamic modeling-self-adaptive assessment, wherein the system comprises a perception layer which is a multi-dimensional sensing network and comprises an optical, thermal, electrical and environment perception module for acquiring real-time data of the photoelectric curtain wall and surrounding microenvironment, an analysis layer which is an adaptive model engine and comprises a photoelectric curtain wall-microenvironment coupling digital twin model and a hybrid machine learning self-adaptive assessment module for calculating dynamic generating efficiency, carrying out short-term prediction, anomaly detection and generating dynamic datum lines, and an application layer which comprises an assessment and decision module for realizing dynamic efficiency assessment, fault diagnosis and output optimization suggestion, and effectively solves the problems in the background technology. In order to achieve the aim, the invention provides the technical scheme that the dynamic environment adaptability assessment system for the power generation efficiency of the photoelectric curtain wall adopts a three-layer architecture of multi-source perception-dynamic modeling-self-adaptive assessment, and comprises a perception layer, an analysis layer and an application layer; The sensing layer is a multi-dimensional sensing network and is used for collecting real-time data of the photoelectric curtain wall and the surrounding microenvironment, and comprises an optical sensing module, a thermal sensing module, an electrical sensing module and an environment sensing module; The analysis layer is an adaptive model engine and comprises a photoelectric curtain wall-microenvironment coupling digital twin model and a hybrid machine learning adaptive evaluation module, wherein the digital twin model is used for calculating the dynamic power generation efficiency of the photoelectric curtain wall based on real-time acquisition data, and the hybrid machine learning adaptive evaluation module is used for short-term prediction, anomaly detection and dynamic reference line generation of the power generation efficiency; The application layer comprises an evaluation and decision module for realizing dynamic efficiency evaluation, fault diagnosis and optimization suggestion output. Pref