CN-122018209-A - Intelligent glass and environment dynamic adjustment system thereof

CN122018209ACN 122018209 ACN122018209 ACN 122018209ACN-122018209-A

Abstract

The invention relates to the technical field of intelligent glass, in particular to intelligent glass and an environment dynamic adjustment system thereof, which comprises a glass substrate, a near infrared shielding layer, an electrochromic assembly and a transparent conductive layer, wherein the near infrared shielding layer is arranged on the glass substrate, and comprises tungsten bronze A material in which The electrochromic component is arranged on the near infrared shielding layer and comprises an electrochromic layer, an electrolyte layer and a counter electrode layer, wherein the electrochromic layer comprises tungsten oxide The transparent conductive layer is arranged on at least one side of the electrochromic layer and the counter electrode layer and is used for applying voltage to the electrochromic layer so that the electrochromic layer can generate reversible electrochemical reaction through ion intercalation and deintercalation to change the light transmission state of the glass. The cooperative adjustment of near infrared passive shading and electrochromic active light control is realized.

Inventors

TAO RAN
HE YUQING
LI SICEN
DONG QIANMIN
CAI MUZHI

Assignees

中国计量大学

Dates

Publication Date: 20260512
Application Date: 20260317

Claims (10)

1. An intelligent glass, characterized by comprising: a glass substrate (1), a near infrared shielding layer (2), an electrochromic assembly and a transparent conductive layer (5); The near infrared shielding layer (2) is arranged on the surface of the glass substrate (1), and the near infrared shielding layer (2) comprises tungsten bronze A material in which Is an alkali metal ion; the electrochromic assembly is arranged on one side of the near infrared shielding layer (2) far away from the glass substrate (1), and comprises an electrochromic layer (3), an electrolyte layer (4) and a counter electrode layer (6), wherein the electrochromic layer (3) comprises tungsten oxide A film; The electrolyte layer (4) is arranged on one side of the electrochromic layer (3) far from the near infrared shielding layer (2), and the counter electrode layer (6) is arranged on one side of the electrolyte layer (4) far from the electrochromic layer (3); the transparent conductive layer (5) is arranged on at least one side of the electrochromic layer (3) and the counter electrode layer (6), is electrically connected with the electrochromic layer (3), and is used for applying voltage to the electrochromic layer (3), so that the electrochromic layer (3) can generate reversible electrochemical reaction through ion intercalation and deintercalation to change the light transmission state of the glass.
2. An environmental dynamic adjustment system for a smart glass, for use in the smart glass of claim 1, said system comprising: the environment data acquisition module is used for acquiring the illumination intensity and the indoor temperature at the outer side of the building window according to a preset sampling period and recording the current light transmission state of the intelligent glass; The data processing module is used for carrying out differential calculation on the illumination intensity data in a plurality of continuous sampling periods to obtain illumination variation, and comparing the illumination variation with a preset variation threshold value to judge whether the environmental illumination belongs to short-time disturbance or not; The machine learning decision module is used for constructing a training sample according to the environmental data and the corresponding running state of the electrochromic layer (3), training the training sample by utilizing a support vector machine model, and inputting the training sample into the support vector machine model according to the current environmental data to obtain a running state prediction result of the electrochromic layer (3); The control module is used for keeping the current light transmission state of the intelligent glass for a preset keeping time when the short-time disturbance is judged, and determining a target light transmission level according to the illumination intensity, the indoor temperature and the running state prediction result when the short-time disturbance is not judged; the prediction control module predicts the indoor temperature change direction in a future time period according to the change trend of the indoor temperature in the continuous sampling period and corrects the target light transmittance level according to the prediction result; and the driving control module is used for applying corresponding driving voltage to the transparent conductive layer (5) of the intelligent glass according to the corrected target light transmission level so as to change the light transmission state of the electrochromic layer (3).
3. The system for dynamically adjusting environment of smart glass according to claim 2, wherein in the environmental data acquisition module, the step of acquiring the illumination intensity outside the building window and the indoor temperature according to the preset sampling period comprises: Starting an environment monitoring unit at the beginning of each preset sampling period; The outdoor illumination intensity is collected through an illumination sensor arranged on the outer side of a building window, and the indoor temperature is collected through a temperature sensor arranged indoors in the same sampling period; Storing the collected illumination intensity and indoor temperature data corresponding to the sampling time stamp to form an environment data sequence arranged in time sequence; the sequence of environmental data is updated over a continuous plurality of sampling periods.
4. The system for dynamically adjusting the environment of a smart glass according to claim 2, wherein in the data processing module, the performing differential calculation on the illumination intensity data in a plurality of consecutive sampling periods to obtain the illumination variation comprises: Reading illumination intensity data of a current sampling period and illumination intensity data of a previous sampling period from an environment data sequence; Calculating the difference between the illumination intensity of the current sampling period and the illumination intensity of the previous sampling period to obtain the illumination variation value between the adjacent sampling periods; and accumulating or averaging the illumination variation values in a plurality of continuous sampling periods to obtain the illumination variation in the corresponding time window.
5. The system for dynamically adjusting the environment of a smart glass according to claim 2, wherein in the data processing module, the comparing the change of the illumination with a preset change threshold to determine whether the ambient illumination belongs to a short-term disturbance comprises: acquiring illumination variation in a plurality of continuous sampling periods, and comparing the illumination variation with a preset variation threshold; when the illumination variation is larger than the preset variation threshold, recording the sampling period as an illumination abnormal period; Counting the number of abnormal illumination periods in a preset time window, and judging that the environment illumination is short-time disturbance when the number of abnormal illumination periods is smaller than a preset period threshold value.
6. The system for dynamically adjusting the environment of a smart glass according to claim 2, wherein in the machine learning decision module, the construction of training samples from the environment data and the corresponding operating states of the electrochromic layers (3) comprises: acquiring environmental data in a plurality of continuous sampling periods and the running state of the electrochromic layer (3) at corresponding moments; Extracting the characteristics of the environmental data and forming an environmental characteristic vector; matching the environmental feature vector with the running state of the corresponding electrochromic layer (3) to construct a training sample pair; The training sample pairs are stored in time order to form a training sample set.
7. The system for dynamically adjusting the environment of a smart glass according to claim 2, wherein, in the control module, the step of maintaining the current light transmission state of the smart glass for a preset maintaining time when the short-time disturbance is determined comprises: recording the current light transmission state and the corresponding time which are judged to be the short-time disturbance moment, and starting a holding timer; Continuously collecting illumination intensity and calculating new illumination variation during the operation period of the timer; when the new illumination variation is smaller than the preset stable threshold value in a plurality of continuous sampling periods, stopping keeping timing in advance; re-executing the illumination disturbance judgment when the holding timer reaches the preset holding time or the early termination condition is met; The light transmission state of the smart glass is maintained unchanged during the operation of the keep timer.
8. The system for dynamically adjusting the environment of smart glass according to claim 2, wherein in the control module, the determining the target light transmittance level according to the light intensity, the indoor temperature and the operation state prediction result when the short-time disturbance is not determined comprises: acquiring illumination intensity, indoor temperature data and running state prediction results of a current sampling period; Mapping the illumination intensity to a preset illumination level interval to determine a basic light transmittance level; Calculating a temperature correction coefficient according to a comparison result of the indoor temperature and a preset temperature threshold; adjusting the basic light transmittance level according to the operation state prediction result; Weighting correction is carried out on the adjusted light transmittance level according to the temperature correction coefficient; And limiting the corrected light transmission level within a preset light transmission level range and outputting the light transmission level as a target light transmission level.
9. The system according to claim 2, wherein in the predictive control module, the predicting the direction of change of the indoor temperature in the future period according to the trend of change of the indoor temperature in the continuous sampling period comprises: Acquiring indoor temperature data in a plurality of continuous sampling periods and forming a temperature data sequence; calculating indoor temperature difference values between adjacent sampling periods to obtain temperature variation; Averaging the temperature variation in a plurality of continuous sampling periods to obtain a temperature variation trend value; comparing the temperature change trend value with a preset temperature change threshold value; And when the temperature change trend value is smaller than the preset temperature change threshold value, determining that the indoor temperature is in a descending trend.
10. The system according to claim 2, wherein in the driving control module, the applying the corresponding driving voltage to the transparent conductive layer (5) of the smart glass according to the corrected target light transmittance level comprises: acquiring a corrected target light transmittance level; Determining a driving voltage value corresponding to the target light transmittance level according to the preset corresponding relation between the light transmittance level and the driving voltage; a driving voltage is applied to the transparent conductive layer (5) of the smart glass in the form of a pulse voltage, and the light transmission state of the electrochromic layer (3) is controlled according to the pulse duration.

Description

Intelligent glass and environment dynamic adjustment system thereof Technical Field The invention relates to the technical field of intelligent glass, in particular to intelligent glass and an environment dynamic adjustment system thereof. Background With the development of energy-saving technology of buildings, intelligent glass is gradually applied to building windows, curtain walls and lighting structures for adjusting indoor illumination intensity and improving indoor environment. In the prior art, one type of scheme adopts heat-insulating glass or low-radiation glass, the indoor temperature is reduced by arranging a functional film layer on the surface of the glass to reduce solar radiation entering the indoor space, and the other type of scheme adopts electrochromic glass, and the glass is reversibly switched between a transparent state and a coloring state by arranging an electrochromic layer in a glass structure and applying a driving voltage, so that the active adjustment of the light transmittance is realized. The technology can improve lighting and thermal environment of the building to a certain extent, so that the technology is widely applied to the fields of intelligent buildings and energy-saving buildings. The prior glass structure is difficult to simultaneously consider the visible light transmittance and the near infrared radiation shielding capability in practical application, and the common electrochromic glass realizes shading control mainly by adjusting the visible light transmittance and has limited shielding capability on near infrared radiation, so that the heat input caused by the near infrared radiation is difficult to be effectively reduced while the good lighting condition is maintained. Disclosure of Invention In order to make up for the defects, the invention provides intelligent glass and an environment dynamic adjustment system thereof, and aims to solve the problem that heat input caused by near infrared radiation is effectively reduced while good lighting conditions are difficult to maintain. In a first aspect, the present invention provides a technical solution, an intelligent glass, including: a glass substrate, a near infrared shielding layer, an electrochromic assembly, and a transparent conductive layer; the near infrared shielding layer is arranged on the surface of the glass substrate and comprises tungsten bronze A material in whichIs an alkali metal ion; The electrochromic assembly is arranged on one side of the near infrared shielding layer far away from the glass substrate, and comprises an electrochromic layer, an electrolyte layer and a counter electrode layer, wherein the electrochromic layer comprises tungsten oxide A film; the electrolyte layer is arranged on one side of the electrochromic layer far away from the near infrared shielding layer, and the counter electrode layer is arranged on one side of the electrolyte layer far away from the electrochromic layer; The transparent conductive layer is arranged on at least one side of the electrochromic layer and the counter electrode layer, is electrically connected with the electrochromic layer and is used for applying voltage to the electrochromic layer, so that the electrochromic layer can generate reversible electrochemical reaction through ion intercalation and deintercalation to change the light transmission state of the glass. Through adopting above-mentioned technical scheme, realized through set up the composite construction of near infrared shielding layer and electrochromic subassembly on the glass base member, realized the cooperation regulation that near infrared passive shielding and electrochromic initiatively adjusted luminance to shield near infrared radiation when keeping the visible light transmissivity, and then solved the problem that current glass structure is difficult to effectively reduce the heat input that near infrared radiation brought when keeping good daylighting condition. In a second aspect, the present invention provides the following technical solutions, and an environmental dynamic adjustment system for intelligent glass, where the system includes: the environment data acquisition module is used for acquiring the illumination intensity and the indoor temperature at the outer side of the building window according to a preset sampling period and recording the current light transmission state of the intelligent glass; The data processing module is used for carrying out differential calculation on the illumination intensity data in a plurality of continuous sampling periods to obtain illumination variation, and comparing the illumination variation with a preset variation threshold value to judge whether the environmental illumination belongs to short-time disturbance or not; the machine learning decision module is used for constructing a training sample according to the environmental data and the corresponding running state of the electrochromic layer, training the training sampl