Energy-saving vacuum glass and production method thereof

Abstract

The invention relates to the technical field of vacuum glass, in particular to energy-saving vacuum glass and a production method thereof.The production method comprises the steps that firstly, the adjustment influence strength is preliminarily determined based on change delay between vacuum pump power and vacuum degree; then, after an extraction stage is divided based on the power of the vacuum pump, analyzing temperature data characteristics and position distribution of different monitoring point positions in the current extraction stage, and calculating corresponding gas separation and remaining indexes; further analyzing vacuum degree data change characteristics of different monitoring points, and evaluating local extraction efficiency in combination with a gas precipitation leaving index; and finally, according to the local extraction efficiency, the vacuum degree data and the adjustment influence intensity, the vacuum pump power adjustment coefficient at the current moment is comprehensively evaluated, so that the vacuum pump power is more accurately adjusted in real time according to the vacuum pump power adjustment coefficient, the influence of gas separation after temperature rise is reduced, and the airflow extraction effect is better.

Description

Technical Field

[0001] The present invention relates to the technical field of vacuum glass, and particularly relates to an energy-saving vacuum glass and a production method thereof. Background Art

[0002] Vacuum glass is a new type of deep-processed glass product, which is developed based on the principle of thermos flasks. The structure of vacuum glass is similar to that of insulating glass, but the difference is that the gas in the cavity of vacuum glass is very thin, almost approaching a vacuum. By using vacuum, the heat transferred by conduction, convection, and radiation of the glass is reduced, achieving good heat insulation, sound insulation, and noise reduction performance. It is considered an important material for the next generation of energy-saving doors, windows, and curtain walls.

[0003] In the current production process of vacuum glass, a thermal vacuum process with temperature control and gas extraction matching is usually used for vacuum extraction. During the vacuum extraction process, the prior art usually adjusts the power of the vacuum pump according to subjective experience for vacuum pumping. However, when adjusting the power of the vacuum pump according to subjective experience for vacuum pumping, the influence of temperature rise in different local areas on the actual gas evolution cannot be considered, which may result in uneven air flow distribution in the vacuum furnace, poor air flow extraction effect, and then the residual gas in the interlayer of the vacuum glass cannot be removed in time, causing the production quality problem of insufficient vacuum degree of the finished vacuum glass. Summary of the Invention

[0004] In order to solve the technical problem that when the prior art usually adjusts the power of the vacuum pump according to subjective experience for vacuum pumping, the influence of temperature rise in different local areas on the actual gas evolution cannot be considered, resulting in poor air flow extraction effect, the purpose of this application is to provide a production method of energy-saving vacuum glass, and the specific technical solution adopted is as follows: The first aspect of this application provides a production method of energy-saving vacuum glass, including: During the vacuum extraction process of producing vacuum glass, collect the gas flow data, vacuum pump power data at the air extraction port of the vacuum pipeline, and the vacuum degree monitoring value and temperature data of each monitoring point in the vacuum furnace cavity at each sampling moment; determine the adjustment influence intensity according to the change delay situation in time series between the vacuum degree monitoring value of each monitoring point and the vacuum pump power data; Divide at least two extraction stages according to the change situation of the change trend of the vacuum pump power data; in the extraction stage where the current moment is located, determine the degree of gas evolution and retention of each monitoring point according to the position distribution of each monitoring point relative to the air extraction port, the time series rise situation of the temperature data, and the corresponding vacuum pump power data; In the extraction stage at the current moment, based on the change correlation among the vacuum pump power data, the vacuum degree monitoring value, and the gas flow data, as well as the degree of gas evolution residue, determine the local extraction efficiency of each monitoring point; based on the local extraction efficiency of each monitoring point, the vacuum degree monitoring value, and the adjustment influence intensity, determine the vacuum pump power adjustment coefficient at the current moment; perform real-time adjustment of the vacuum pump power according to the vacuum pump power adjustment coefficient.

[0005] Further, the process of obtaining the adjustment influence intensity includes: Take the average value of the vacuum degree monitoring values of all monitoring points at each sampling moment as the average vacuum degree at each sampling moment; arrange the average vacuum degrees of all sampling moments in chronological order and perform curve fitting to obtain the average vacuum degree change curve; perform curve fitting on the vacuum pump power data at all sampling moments to obtain the vacuum pump power change curve; After matching the vacuum pump power change curve and the average vacuum degree change curve through the dynamic time warping algorithm, obtain the optimal alignment path; On the optimal alignment path, take all the vacuum pump power data matched to each average vacuum degree data on the average vacuum degree change curve as the corresponding matching data; Take the difference between the index value of the sampling moment of each average vacuum degree data in time sequence and the index value of the sampling moment of the corresponding each matching data in time sequence as the matching delay amount of each matching data; Take the average value of the matching delay amounts of all the matching data corresponding to each average vacuum degree data as the corresponding local delay amount; Perform negative correlation mapping on the average value of all the local delay amounts corresponding to all the vacuum pump average data to determine the corresponding adjustment influence intensity.

[0006] Further, the process of obtaining the extraction stage includes: Using the sampling moments corresponding to the inflection points on the vacuum pump power change curve as interval points, divide all sampling moments into at least two extraction stages.

[0007] Further, the process of obtaining the degree of gas evolution residue includes: Arrange all the temperature data of each monitoring point in the extraction stage at the current moment in chronological order and perform curve fitting to obtain the corresponding local temperature data curve; on the local temperature data curve, determine the self-temperature evolution index of each monitoring point by multiplying the average value of the tangent slopes of all sampling moments by the average value of the temperature data; Take each monitoring point as the target point in sequence; take the other monitoring points outside the target point as the reference influence points; determine the air pressure influence coefficient of the target point according to the position distribution of each reference influence point relative to the target point and the vacuum pipeline air extraction port and the corresponding self-temperature precipitation index. Determine the air extraction coefficient of the target point according to the overall magnitude of the vacuum pump power data in the extraction stage at the current moment and the proximity of the air extraction port of the vacuum pipeline at the target point. Determine the degree of gas precipitation residue of the target point in the extraction stage at the current moment according to the self-temperature precipitation index of the target point, the air pressure influence coefficient and the air extraction coefficient; among them, both the air pressure influence coefficient and the air extraction coefficient are negatively correlated with the degree of gas precipitation residue; the self-temperature precipitation index of the target point is positively correlated with the degree of gas precipitation residue.

[0008] Furthermore, the acquisition process of the air pressure influence coefficient includes: In the three-dimensional space corresponding to the vacuum furnace cavity, take the line segment pointing from each target point to the vacuum pipeline air extraction port as the reference line segment; take the plane passing through the target point and perpendicular to the reference line segment as the reference plane of the target point. On both sides of the reference plane, take all the reference influence points on the side with the vacuum pipeline air extraction port as the reverse influence points of the target point; take the other reference influence points outside the reverse influence points as the forward influence points of the target point. Take the negative correlation mapping value of the Euclidean distance between each reference influence point and the target point as the distance influence weight; determine the corresponding weighted temperature precipitation index according to the product of the distance influence weight of each reference influence point and the corresponding self-temperature precipitation index. Determine the reverse influence coefficient according to the cumulative value of the weighted temperature precipitation indices of all reverse influence points; determine the forward influence coefficient according to the cumulative value of the weighted temperature precipitation indices of all forward influence points. Determine the air pressure influence coefficient of the target point according to the ratio between the forward influence coefficient and the reverse influence coefficient.

[0009] Furthermore, the acquisition process of the air extraction coefficient includes: Take the mean value of the vacuum pump power data at all sampling moments in the extraction stage at the current moment as the current extraction power; take the negative correlation mapping value of the Euclidean distance between the target point and the vacuum pipeline air extraction port as the extraction distance weight; determine the air extraction coefficient of the target point according to the product of the extraction distance weight and the current extraction power.

[0010] Furthermore, the acquisition process of the local extraction efficiency includes: In the extraction stage at the current moment, for each monitoring point, the vacuum degree monitoring values at all sampling moments are arranged in chronological order and then curve-fitted to obtain a vacuum degree monitoring curve; the tangent slopes at each sampling moment on the vacuum degree monitoring curve are normalized to determine the vacuum degree change rate; the normalized value of the vacuum pump power data at each sampling moment is used as a reference power parameter; according to the ratio between the vacuum degree change rate and the reference power parameter, the reference extraction efficiency is determined. The ratio between the normalized value of the gas flow rate data at each sampling moment and the reference power parameter is negatively correlated and mapped to determine the exhaust path obstruction. The product of the gas precipitation residue degree and the exhaust path obstruction at each sampling moment is negatively correlated and mapped to determine the reference compensation weight at each monitoring point at each sampling moment; the product of the reference compensation weight and the reference extraction efficiency is used as the weighted extraction efficiency at each monitoring point at each sampling moment. According to the cumulative value of the weighted extraction efficiencies at all sampling moments in the extraction stage where each monitoring point is located at the current moment, the local extraction efficiency of each monitoring point in the extraction stage where it is located at the current moment is determined.

[0011] Further, the process of obtaining the vacuum pump power adjustment coefficient includes: The ratio between the negatively correlated mapped value of the local extraction efficiency and the vacuum degree monitoring value of each monitoring point at the current moment is used as the local power demand coefficient of each monitoring point at the current moment; according to the mean value of the local power demand coefficients of all monitoring points at the current moment, the overall power demand coefficient is determined. The product of the negatively correlated mapped value of the adjustment influence intensity and the overall power demand coefficient is positively correlated and mapped to determine the vacuum pump power adjustment coefficient at the current moment.

[0012] Further, the process of performing real-time adjustment of the vacuum pump power according to the vacuum pump power adjustment coefficient includes: The vacuum pump power adjustment coefficient is used as the proportional gain coefficient of a PID controller to perform real-time adjustment of the vacuum pump power.

[0013] This application also provides an energy-saving vacuum glass, and the energy-saving vacuum glass is produced by using a production method of an energy-saving vacuum glass according to any one of the above.

[0014] This application has the following beneficial effects: This application first preliminarily determines the adjustment influence intensity based on the change delay between the vacuum pump power and the vacuum degree; then, after dividing the extraction stage based on the vacuum pump power, it analyzes the temperature data characteristics and position distributions of different monitoring points within the current extraction stage, calculates the corresponding gas evolution legacy index; further analyzes the change characteristics of the vacuum degree data of different monitoring points and combines with the gas evolution legacy index to evaluate the local extraction efficiency; finally, comprehensively evaluates the vacuum pump power adjustment coefficient at the current moment according to the local extraction efficiency, the vacuum degree data, and the adjustment influence intensity, so as to perform more accurate real-time adjustment of the vacuum pump power according to the vacuum pump power adjustment coefficient, reduce the influence of gas evolution after the temperature rises, and make the air flow extraction effect better. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0016] Figure 1 Flow chart of an energy-saving vacuum glass production method provided by an embodiment of the present invention; Figure 2 Schematic diagram of air extraction and sealing of a vacuum glass provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0017] In order to further elaborate on the technical means and effects adopted by the present invention to achieve the intended invention purpose, the following, in combination with the accompanying drawings and preferred embodiments, details the specific embodiments, structures, features, and effects of an energy-saving vacuum glass and its production method proposed according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment, and the specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form. In addition, the terms "first" and "second" are only used for descriptive purposes and cannot be understood as implying or indicating relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of such features.

[0018] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which the present invention belongs.

[0019] The following specifically describes the specific solutions of an energy-saving vacuum glass and its production method provided by the present invention in combination with the accompanying drawings.

[0020] An embodiment of the present application provides an energy-saving vacuum glass production method. Please refer to Figure 1 , which shows a flowchart of an energy-saving vacuum glass production method provided by an embodiment of the present invention. The method includes: Step S101: During the vacuum extraction process of producing vacuum glass, collect the gas flow data at the air extraction port of the vacuum pipeline, the vacuum pump power data, and the vacuum degree monitoring values and temperature data at each monitoring point in the vacuum furnace cavity at each sampling moment; determine the adjustment influence intensity according to the change delay situation in time sequence between the vacuum degree monitoring values at each monitoring point and the vacuum pump power data.

[0021] Before the vacuum extraction process, pre-treatment for the production of vacuum glass is required. Specifically: First, select Low-E glass as the substrate, and use a fully automatic glass cutting machine to cut the substrate into the production target size; then use an ultrasonic cleaning machine (including a pure water circulation system) to remove surface oil stains, dust, and impurities, which specifically includes ultrasonic cleaning, multi-stage pure water rinsing, and hot air high-pressure drying steps; use a wind pressure adjustable toughening furnace (supporting the Low-E film protection mode) to toughen the glass substrate to improve mechanical strength; use a PLC to control the cleaning parameters (such as water temperature, cleaning time) and the temperature curve of the toughening furnace (680 - 720 °C) to ensure that the surface cleanliness of the substrate reaches the ISO2 standard. Use a fully automatic support placement machine of the vision positioning system to place cylindrical or linear supports with a diameter of 0.3 - 1.0 mm and a height of 0.1 - 0.5 mm on the substrate to ensure that the glass does not collapse during vacuum pumping, maintain the hollow sandwich structure, and place another glass plate on the supports; use a CNC glass drilling machine to achieve high-precision drilling of the glass substrate with a hole diameter of 2 - 4 mm to reserve an exhaust channel for vacuum pumping; position the opposite side of the glass substrate on the workbench, place the support points and sealing solder in place, align and position the glass, and assemble the opposite side of the glass substrate; coat the edge of the glass with lead-free flexible metal solder (such as Sn-Ag-Cu alloy) or low-melting-point glass powder, and heat it at 350 - 450 °C in a pre-sealing furnace for 15 - 60 minutes to remove moisture and organic substances, form a preliminary seal, and perform pre-treatment for the production of vacuum glass.

[0022] Then, the assembled glass pairs (including support points, Low-E films, exhaust holes, and solder sealing strips) are positioned and loaded onto the working platform of the vacuum furnace; ensure that the solder sealing strips are completely aligned, and a vacuum pump pipe opening is reserved at the exhaust hole. Further, close the vacuum furnace door. After ensuring good sealing of the vacuum furnace, start the vacuum pump group to start evacuating. In a specific implementation manner of the embodiment of the present invention, during the vacuum extraction process of producing vacuum glass, monitoring points are evenly arranged at equal intervals at the placement position of the vacuum glass in the vacuum furnace cavity. The interval between the monitoring points is set to 2 cm. A vacuum gauge and a thermocouple sensor are set at each monitoring point position. The vacuum degree monitoring value of each monitoring point at each sampling moment is collected through the vacuum gauge, and the temperature data of each monitoring point at each sampling moment is collected through the thermocouple sensor. A mass flowmeter is set at the air extraction port of the vacuum pipeline to collect the gas flow data at each sampling moment, and the vacuum pump power data of the vacuum pump at each sampling moment is collected through the vacuum pump control system. In a specific implementation manner of the embodiment of the present invention, the sampling frequency is set to collect once per second, which can be adjusted according to the specific implementation environment, and the collection methods or collection tools of various data can also be selected according to the specific implementation environment, and will not be further elaborated here.

[0023] After the regulation of the vacuum pump power, the faster the change response of the vacuum degree monitoring value, the stronger the adjustment intensity of the vacuum pump power adjustment on the vacuum degree. Therefore, first, the determination of the adjustment influence intensity is preliminarily carried out based on the change delay situation in time series between the vacuum degree monitoring values of each monitoring point and the vacuum pump power data.

[0024] Preferably, in some possible implementation manners of the embodiment of the present invention, the process of obtaining the adjustment influence intensity includes: The mean value of the vacuum degree monitoring values of all monitoring points at each sampling moment is used as the average vacuum degree at each sampling moment; the average vacuum degrees at all sampling moments are arranged in chronological order and then curve-fitted to obtain an average vacuum degree change curve; the vacuum pump power data at all sampling moments are curve-fitted to obtain a vacuum pump power change curve; after matching the vacuum pump power change curve and the average vacuum degree change curve through the dynamic time warping algorithm, an optimal alignment path is obtained; on the optimal alignment path, all the vacuum pump power data matched to each average vacuum degree data on the average vacuum degree change curve are used as the corresponding matching data. It should be noted that curve fitting and the dynamic time warping algorithm are well-known technical means to those skilled in the art and will not be further defined and elaborated here.

[0025] Among all the matched data in the optimal alignment path, each vacuum degree data is usually directly affected by the matched vacuum pump power data. That is, there is a certain delay between the two matched data in the optimal alignment path. The greater the corresponding delay, the faster the influence rate of the power adjustment on the vacuum degree, and the stronger the corresponding adjustment intensity. Therefore, further according to this feature, the difference between the index value of the sampling time of each vacuum degree average data in the time series and the index value of the sampling time of the corresponding each matched data in the time series is used as the matching delay amount of each matched data. Considering that each data on one curve may correspond to multiple data on another curve, further, the average value of the matching delay amounts of all the matched data corresponding to each vacuum degree average data is used as the corresponding local delay amount. Finally, the overall delay size is determined by integrating the local delay amounts of all the vacuum degree average data, and the average value of all the local delay amounts corresponding to all the vacuum pump average data is subjected to a negative correlation mapping to determine the corresponding adjustment influence intensity. In a specific implementation manner of the embodiment of the present invention, the negative correlation mapping method for subjecting the average value of all the local delay amounts corresponding to all the vacuum pump average data to a negative correlation mapping includes: calculating the normalized value after linearly normalizing the average value of all the local delay amounts corresponding to all the vacuum pump average data, and subtracting the normalized value from the real number 1 to obtain the corresponding negative correlation mapping result, that is, the adjustment influence intensity.

[0026] Step S102: Divide at least two extraction stages according to the change situation of the change trend of the vacuum pump power data; in the extraction stage where the current moment is located, determine the gas evolution remaining degree of each monitoring point according to the position distribution of each monitoring point relative to the air extraction port, the rising situation of the temperature data in the time series, and the corresponding vacuum pump power data.

[0027] The thermal vacuum process has typical non-linear, segmented and phased characteristics during the vacuum pumping process of vacuum glass. The physical characteristics and control requirements in different stages are different, and it is often divided into multiple extraction stages. If all the data are analyzed as a whole, it is easy to cover up the phased abnormal characteristics and reduce the monitoring sensitivity and control response accuracy. To finely control the vacuum pumping process at the current moment, it is first necessary to perform time series segmentation, and independently analyze, extract features and control the stage to which the current moment belongs. Among them, the vacuum pump power data can directly reflect the operation result of the extraction stage. Therefore, at least two extraction stages are divided according to the change situation of the change trend of the vacuum pump power data.

[0028] Preferably, in some possible implementation manners of the embodiments of the present invention, the obtaining process in the extraction stage includes: taking the sampling moments corresponding to the inflection points on the vacuum pump power change curve as interval points, and dividing all sampling moments into at least two extraction stages. An inflection point refers to the position where the curvature changes on the fitted curve, that is, the time point when the change rate of the operating power of the vacuum pump changes significantly, and it can represent the transition point of the operating state of the vacuum pump.

[0029] During the vacuum extraction process, since trace water vapor, adsorbed gas, and processing residual gas (such as CO2, O2, N2) on the glass surface and in the interlayer dissipate slowly at room temperature, it is necessary to increase the temperature in the vacuum furnace, enhance the kinetic energy of gas molecules, and increase the dissipation rate to facilitate the rapid release of the residual gas in the interlayer. In addition, the increase in temperature can promote the uniform flow of gas in the furnace, eliminate the retention of gas in dead areas, and improve the vacuum uniformity. Therefore, it is necessary to analyze and evaluate the gas precipitation caused by the temperature change characteristics at different monitoring points as one of the influencing parameters for adjusting the vacuum extraction power. The higher the temperature, the faster the residual gas in the glass and the interlayer is precipitated by heat. At the same time, during the actual vacuum pumping process, the faster the temperature increases, the gas suddenly precipitates rapidly, forming an instantaneous gas precipitation peak. Especially in the position far from the air extraction port in the vacuum furnace, it is easy to cause local gas accumulation. At this time, the air extraction system fails to respond in time, resulting in the existence of residual gas locally.

[0030] In addition, during the vacuum extraction process, the gas in the vacuum furnace moves towards the air extraction port. For a certain monitoring point in the vacuum furnace, the actual amount of remaining gas is also affected by the monitoring points between the air extraction port of the vacuum pipeline and the current monitoring point and other monitoring points. For the monitoring points between the air extraction port of the vacuum pipeline and the current monitoring point, under the influence of the air pressure pushing of these monitoring points, the gas at the current monitoring point will be blocked, thereby reducing the degree of being extracted, and the corresponding degree of gas retention will relatively increase. For other monitoring points that are further back relative to the current monitoring point, the gas at these monitoring points will also push the current monitoring point during the process of being pumped away. Since the current monitoring point is more forward (relative to the air extraction port of the vacuum pipeline), the gas at the current monitoring point will be more smoothly extracted under the influence of air pressure pushing, thereby increasing the degree of being extracted, and the corresponding degree of gas retention will relatively decrease. Therefore, further in the extraction stage where the current moment is located, according to the position distribution of each monitoring point relative to the air extraction port, the sequential increase of temperature data, and the corresponding vacuum pump power data, determine the degree of gas precipitation and retention at each monitoring point.

[0031] Preferably, in some possible implementation manners of the embodiments of the present invention, the obtaining process of the degree of gas precipitation and retention includes: Arrange all temperature data of each monitoring point in the extraction stage at the current moment in chronological order and perform curve fitting to obtain the corresponding local temperature data curve; on the local temperature data curve, determine the self-temperature precipitation index of each monitoring point by multiplying the mean value of the tangent slopes at all sampling moments by the mean value of the temperature data. Since the higher the temperature and the faster the temperature increase rate, the faster the gas precipitation, and the greater the corresponding influence of the remaining precipitated gas; therefore, the larger the self-temperature precipitation index, the more obvious the retention trend of the gas precipitated at the corresponding monitoring point, and the greater the degree of gas precipitation remaining.

[0032] Successively take each monitoring point as the target point; take the other monitoring points outside the target point as the reference influence points; determine the air pressure influence coefficient of the target point according to the position distribution of each reference influence point relative to the target point and the vacuum pipeline air extraction port and the corresponding self-temperature precipitation index; preferably, in some possible implementation manners of the embodiments of the present invention, the process of obtaining the air pressure influence coefficient includes: In the three-dimensional space corresponding to the vacuum furnace cavity, take the line segment pointing from each target point to the vacuum pipeline air extraction port as the reference line segment; take the plane passing through the target point and perpendicular to the reference line segment as the reference plane of the target point; on both sides of the reference plane, take all the reference influence points on the side with the vacuum pipeline air extraction port as the reverse influence points of the target point; take the other reference influence points outside the reverse influence points as the forward influence points of the target point; take the negative correlation mapping value of the Euclidean distance between each reference influence point and the target point as the distance influence weight; determine the corresponding weighted temperature precipitation index according to the product of the distance influence weight of each reference influence point and the corresponding self-temperature precipitation index; determine the reverse influence coefficient according to the cumulative value of the weighted temperature precipitation indices of all reverse influence points; determine the forward influence coefficient according to the cumulative value of the weighted temperature precipitation indices of all forward influence points; determine the air pressure influence coefficient of the target point according to the ratio between the forward influence coefficient and the reverse influence coefficient. It should be noted that the position of the vacuum pipeline air extraction port is represented by the centroid. For a three-dimensional space, the implementer can also analyze it by establishing a three-dimensional coordinate system. The process of analyzing the relative position in this application depends on the relative position between the monitoring points. Therefore, the establishment of the coordinate system does not affect the analysis result and can be adjusted according to the specific implementation environment.

[0033] Since the gas path of the target point usually points to the vacuum line suction port, after obtaining the reference plane by making a plane perpendicular to the reference line segment, the subsequent positive influence points after the target point (relative to the vacuum line suction port) and the reverse influence points before the target point can be screened out with the reference plane as the boundary; since the reverse influence points are in front of the target point, during the exhaust process of the target point, the gas at the reverse influence points will hinder the pumping of the target point, while the gas at the positive influence points will promote the pumping process of the target point; in order to more accurately analyze the pumping influence of each reference influence point on the target point, the influence of each reference influence point on the target point is further quantified. The closer the reference influence point is to the target point, the greater the influence of the air pressure at the reference influence point on the target point; in addition, when the self-temperature precipitation index of the reference influence point is larger, the retention trend of the precipitated gas is more obvious, and it is easier to affect the target point; therefore, here, the distance influence weight obtained by the negative correlation mapping value of the Euclidean distance between each reference influence point and the target point is used as the weight to weight the self-temperature precipitation index of each reference influence point, so that the obtained weighted temperature precipitation index can represent its influence on the target point. In a specific implementation manner of the embodiment of the present invention, the negative correlation mapping method for the Euclidean distance includes: taking the reciprocal of the Euclidean distance between each reference influence point and the target point as the corresponding negative correlation mapping value, that is, the distance influence weight, and the mathematical calculation method can be selected according to the specific implementation environment, and no further elaboration will be made here.

[0034] After quantifying the air extraction influence of each reference influence point on the target point, it is necessary to consider that the air extraction influence of the reverse influence point on the target point presents an obstructive effect, while the air extraction influence of the forward influence point on the target point presents a promoting effect. Therefore, further synthesize the weighted temperature precipitation indexes of all reverse influence points, and determine the reverse influence coefficient representing the obstructive influence on the air extraction of the target point by the method of accumulation; synthesize the weighted temperature precipitation indexes of all forward influence points, and determine the forward influence coefficient representing the promoting influence on the air extraction of the target point by the way of accumulation; the greater the reverse influence coefficient, the greater the overall obstructive influence during the air extraction process of the target point; the greater the forward influence coefficient, the greater the overall promoting influence on the air extraction during the air extraction process of the target point; therefore, according to the ratio between the forward influence coefficient and the reverse influence coefficient, determine the air pressure influence coefficient of the target point, so that the greater the air pressure influence coefficient, the smaller the overall obstructive influence during the air extraction process of the target point, and the smaller the degree of gas precipitation residue. It should be noted that when the target point is at a specific position, the denominator may be 0, resulting in meaningless calculation. Therefore, in order to ensure the meaningfulness of the calculation result, in the embodiment of the present invention, when performing fractional operations and encountering the situation where the denominator is 0, a tuning parameter factor greater than 0 needs to be added to the denominator for addition to prevent the denominator from being 0. The value of the tuning parameter factor is set by the implementer according to the actual situation. In this application, it is set to 1 for analysis and will not be further elaborated later.

[0035] Further, determine the air extraction coefficient of the target point based on the overall magnitude of the vacuum pump power data and the proximity of the air extraction port of the vacuum pipeline at the target point during the extraction stage at the current moment; preferably, in some possible implementation manners of the embodiment of the present invention, the process of obtaining the air extraction coefficient includes: taking the average value of the vacuum pump power data at all sampling moments during the extraction stage at the current moment as the current extraction power; taking the negative correlation mapping value of the Euclidean distance between the target point and the air extraction port of the vacuum pipeline as the extraction distance weight; among them, the negative correlation mapping method for the Euclidean distance between the target point and the air extraction port of the vacuum pipeline includes: taking the reciprocal of the Euclidean distance between the target point and the air extraction port of the vacuum pipeline as the value after negative correlation mapping, that is, the extraction distance weight. The implementer can adopt other mathematical operation methods according to the specific implementation environment.

[0036] During the extraction stage at the current moment, the closer the target point is to the air extraction port of the vacuum pipeline and the greater the overall vacuum pump power data at all sampling moments, the more obvious the suction force on the target point and the lower the degree of gas precipitation residue; therefore, determine the air extraction coefficient of the target point according to the product of the extraction distance weight and the current extraction power, so that the greater the air extraction coefficient, the lower the degree of gas precipitation residue.

[0037] Finally, according to the relevant relationships, the gas evolution remaining degree of the target point at the current extraction stage is determined by analyzing the self-temperature evolution index, the air pressure influence coefficient, and the pumping coefficient of the target point; among them, both the air pressure influence coefficient and the pumping coefficient are negatively correlated with the gas evolution remaining degree; the self-temperature evolution index of the target point is positively correlated with the gas evolution remaining degree.

[0038] In a specific implementation manner of the embodiment of the present invention, the product of the air pressure influence coefficient and the pumping coefficient of the target point is used as the reference product; the ratio of the self-temperature evolution index of the target point to the reference product is used as the gas evolution remaining degree of the target point at the current extraction stage; those skilled in the art can choose other basic mathematical methods to implement, and no further limitation and elaboration will be made here.

[0039] Step S103: According to the change correlation among the vacuum pump power data, the vacuum degree monitoring value, and the gas flow data, as well as the gas evolution remaining degree, at the current extraction stage, determine the local extraction efficiency of each monitoring point; according to the local extraction efficiency, the vacuum degree monitoring value, and the adjustment influence intensity of each monitoring point, determine the vacuum pump power adjustment coefficient at the current moment; perform real-time adjustment of the vacuum pump power according to the vacuum pump power adjustment coefficient.

[0040] The vacuum degree can reflect the actual extraction process and extraction level of local gas, that is, the change characteristics of the vacuum degree of a certain monitoring point during the operation of the vacuum pump can reflect the gas extraction efficiency of this monitoring point; however, at different times, when the gas evolution remaining degrees of the current monitoring point at different times are different, the gas extraction efficiency reflected by the unit increase in the vacuum degree of this monitoring point caused by the increase in the vacuum pump power is different. Therefore, it is necessary to analyze in combination with the gas evolution remaining index at different times in the current extraction stage.

[0041] Preferably, in some possible implementation manners of the embodiment of the present invention, the process of obtaining the local extraction efficiency includes: In the extraction stage at the current moment, the vacuum monitoring values of each monitoring point at all sampling moments are arranged in chronological order and then curve-fitted to obtain a vacuum monitoring curve; the tangent slope at each sampling moment on the vacuum monitoring curve is normalized to determine the vacuum change rate; the normalized value of the vacuum pump power data at each sampling moment is used as the reference power parameter; according to the ratio between the vacuum change rate and the reference power parameter, the reference extraction efficiency is determined; the ratio between the normalized value of the gas flow data at each sampling moment and the reference power parameter is negatively correlated to determine the exhaust path obstruction. It should be noted that, unless otherwise specified, all normalization methods in this application adopt linear normalization and can be adjusted according to the specific implementation environment. Among them, the ratio between the normalized value of the gas flow data at each sampling moment and the reference power parameter is negatively correlated to determine the exhaust path obstruction. It should be noted that, unless otherwise specified, all normalization methods in this application are as follows: the opposite number of the ratio between the normalized value of the gas flow data at each sampling moment and the reference power parameter is used as the power of an exponential function with the natural constant as the base, and the output result of this exponential function is the result after negative correlation mapping, that is, the exhaust path obstruction. Those skilled in the art can choose other basic mathematical methods to implement it, and no limitation and elaboration are made here.

[0042] Regarding the reference extraction efficiency, if the vacuum rise rate corresponding to a certain monitoring point is relatively large under a relatively small vacuum pump power, it indicates that the extraction efficiency of this monitoring point is higher. Therefore, the larger the ratio between the vacuum change rate and the reference power parameter, the greater the reference extraction efficiency. Regarding the exhaust path obstruction, if the gas flow data of a certain monitoring point is relatively small under a relatively large vacuum pump power, it indicates that during the extraction stage at the current moment, the obstruction during the exhaust process is stronger, the possibility of exhaust blockage is greater, and the extraction efficiency is lower.

[0043] When the degree of gas evolution residue is greater, it indicates that the influence of the evolved gas is greater and the extraction efficiency is smaller. Therefore, further combining the reference extraction efficiency, the exhaust path obstruction, and the relationship between the degree of gas evolution residue and the overall extraction efficiency, a negative correlation mapping is performed on the product of the degree of gas evolution residue and the exhaust path obstruction at each sampling moment to determine the reference compensation weight for each monitoring point at each sampling moment. The product of the reference compensation weight and the reference extraction efficiency is used as the weighted extraction efficiency for each monitoring point at each sampling moment. In a specific implementation manner of the embodiment of the present invention, the method for performing a negative correlation mapping on the product of the degree of gas evolution residue and the exhaust path obstruction at each sampling moment is as follows: calculate the normalized value after linear normalization of the product of the degree of gas evolution residue and the exhaust path obstruction at each sampling moment, and use the difference between the real number 1 and this normalized value as the result after the negative correlation mapping, that is, the reference compensation weight for each monitoring point at each sampling moment. Those skilled in the art can choose other basic mathematical methods for implementation, which will not be limited and elaborated here.

[0044] Further, comprehensively consider the weighted extraction efficiency at all sampling moments in the extraction stage where each monitoring point is located at the current moment. According to the cumulative value of the weighted extraction efficiency at all sampling moments in the extraction stage where each monitoring point is located at the current moment, determine the local extraction efficiency of each monitoring point in the extraction stage where it is located at the current moment. When the local extraction efficiency is greater, the corresponding monitoring point is more strongly affected by the air extraction at the current moment and the vacuum extraction efficiency is higher.

[0045] After determining the local extraction efficiency corresponding to each monitoring point, further adjust the extraction power of the vacuum pump at the current moment in combination with the adjustment influence intensity and the vacuum degree monitoring values of each monitoring point at the current moment. When the overall local extraction efficiency and the vacuum degree are smaller, a greater extraction power of the vacuum pump is given to achieve the purpose of reducing the influence of gas evolution after temperature rise, improving the system response efficiency, reducing possible exhaust blockage, and improving the exhaust efficiency.

[0046] Preferably, in some possible implementation manners of the embodiments of the present invention, the process of obtaining the vacuum pump power adjustment coefficient includes: taking the ratio between the negative correlation mapping value of the local extraction efficiency and the vacuum degree monitoring value of each monitoring point at the current moment as the local power demand coefficient of each monitoring point at the current moment; determining the overall power demand coefficient according to the mean value of the local power demand coefficients of all monitoring points at the current moment; in a specific implementation manner of the embodiments of the present invention, the method for performing negative correlation mapping on the local extraction efficiency includes: linearly normalizing the local extraction efficiency to obtain the corresponding normalized value, and subtracting the normalized value from the real number 1 to obtain the value after negative correlation mapping. Those skilled in the art can select other basic mathematical methods for implementation, which will not be limited and elaborated herein.

[0047] The larger the local power demand coefficient is, it indicates that the extraction efficiency of the corresponding monitoring point at the current moment is lower and the vacuum degree monitoring value is smaller. At this time, a larger vacuum pump power is required for pumping to reduce the influence of gas precipitation after temperature rise and improve the exhaust efficiency. Therefore, the corresponding local power demand coefficient is calculated, and on this basis, combined with the local power demand coefficients of all monitoring points at the current moment, the overall power demand coefficient is determined by the method of taking the mean value, so that the greater the overall power demand coefficient is, the greater the demand for the vacuum pump power is, and the larger the vacuum pump power adjustment coefficient should be.

[0048] Moreover, when the adjustment influence intensity is smaller, the rate of influence on the vacuum pump power adjustment is smaller. Then, in order to achieve the characteristics of reducing the influence of gas precipitation after temperature rise and improving the exhaust efficiency, a larger vacuum pump power is required to compensate for the overall power demand, so as to minimize the influence of gas precipitation after temperature rise and improve the exhaust efficiency as much as possible. Therefore, in the embodiments of the present invention, further, the product between the negative correlation mapping value of the adjustment influence intensity and the overall power demand coefficient is positively correlated and mapped to determine the vacuum pump power adjustment coefficient at the current moment. In a specific implementation manner of the embodiments of the present invention, the method for performing negative correlation mapping on the adjustment influence intensity includes: taking the opposite number of the adjustment influence intensity as the power of the exponential function with the natural constant as the base, and the output result of the exponential function is the value after negative correlation mapping; among them, the method for positive correlation mapping includes: linearly normalizing the product between the negative correlation mapping value of the adjustment influence intensity and the overall power demand coefficient, and taking the sum value between the normalized value and the real number 1 as the result after positive correlation mapping, that is, the vacuum pump power adjustment coefficient at the current moment.

[0049] After determining the vacuum pump power adjustment coefficient, the vacuum pump power adjustment coefficient is used as the proportional gain coefficient of the PID controller to perform real-time adjustment of the vacuum pump power. It should be noted that the proportional gain coefficient of the PID controller is a technical term well-known to those skilled in the art, which will not be further limited and elaborated herein.

[0050] Continue the vacuum extraction process with the adaptively adjusted vacuum pump power until the target vacuum degree requirement is reached. Then, close and press the two pieces of glass together, and perform high-frequency induction heating on the sealing solder at the glass edge to melt the welding glass powder and complete the sealing of the vacuum glass. Further, use the laser plugging method to soften the plugging solder at the air extraction port and seal the air extraction port of the vacuum glass; please refer to Figure 2 , which shows a schematic diagram of the air extraction and sealing of a vacuum glass provided by an embodiment of the present invention, including a glass surface, an air extraction pipe, and a protective cap; when the temperature in the furnace cavity drops below 100 °C, open the furnace door and take out the finished vacuum glass.

[0051] In summary, an energy-saving vacuum glass production method first preliminarily determines the adjustment influence intensity based on the change delay between the vacuum pump power and the vacuum degree. Then, after dividing the extraction stage based on the vacuum pump power, analyze the temperature data characteristics and position distributions of different monitoring points within the current extraction stage, and calculate the corresponding gas evolution and remaining index. Further, analyze the change characteristics of the vacuum degree data of different monitoring points and combine with the gas evolution and remaining index to evaluate the local extraction efficiency. Finally, based on the local extraction efficiency, vacuum degree data, and adjustment influence intensity, comprehensively evaluate the vacuum pump power adjustment coefficient at the current moment, so as to perform more accurate real-time adjustment of the vacuum pump power according to the vacuum pump power adjustment coefficient, reduce the influence of gas evolution after the temperature rises, and make the air extraction effect better.

[0052] This application also provides an energy-saving vacuum glass, which is produced by using an energy-saving vacuum glass production method of any one of the above.

[0053] It should be noted that: the above sequence of the embodiments of the present invention is only for description and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0054] Each embodiment in this specification is described in a progressive manner. The same or similar parts between the embodiments can be referred to each other, and the key points of each embodiment are the differences from other embodiments.

Claims

1. An energy-saving method for producing vacuum glass, characterized in that, The method includes: During the vacuum extraction process of producing vacuum glass, collecting the gas flow data, vacuum pump power data at the air extraction port of the vacuum pipeline, and the vacuum degree monitoring values and temperature data at each monitoring point in the vacuum furnace cavity at each sampling moment; determining the adjustment influence intensity according to the change delay situation in time series between the vacuum degree monitoring values at each monitoring point and the vacuum pump power data. Dividing at least two extraction stages according to the change situation of the change trend of the vacuum pump power data; in the extraction stage where the current moment is located, determining the gas evolution remaining degree at each monitoring point according to the position distribution of each monitoring point relative to the air extraction port, the time series rise situation of the temperature data, and the corresponding vacuum pump power data. Determining the local extraction efficiency at each monitoring point according to the change correlation situation among the vacuum pump power data, the vacuum degree monitoring values, and the gas flow data, and the gas evolution remaining degree in the extraction stage where the current moment is located; determining the vacuum pump power adjustment coefficient at the current moment according to the local extraction efficiency, the vacuum degree monitoring values at each monitoring point, and the adjustment influence intensity; and performing real-time adjustment of the vacuum pump power according to the vacuum pump power adjustment coefficient.

2. The energy-saving vacuum glass production method according to claim 1, characterized in that The process of obtaining the adjustment influence intensity includes: Taking the mean value of the vacuum degree monitoring values at all monitoring points at each sampling moment as the average vacuum degree at each sampling moment; arranging the average vacuum degrees at all sampling moments in chronological order and performing curve fitting to obtain the average vacuum degree change curve; performing curve fitting on the vacuum pump power data at all sampling moments to obtain the vacuum pump power change curve. After matching the vacuum pump power change curve and the average vacuum degree change curve through the dynamic time warping algorithm, obtaining the optimal alignment path. On the optimal alignment path, taking all the vacuum pump power data matched to each average vacuum degree data on the average vacuum degree change curve as the corresponding matching data. Taking the difference between the index value of the sampling moment of each average vacuum degree data in time series and the index value of the sampling moment of the corresponding each matching data in time series as the matching delay amount of each matching data. Taking the mean value of the matching delay amounts of all the matching data corresponding to each average vacuum degree data as the corresponding local delay amount. Performing negative correlation mapping on the mean value of all the local delay amounts corresponding to all the vacuum pump average data to determine the corresponding adjustment influence intensity.

3. The energy-saving vacuum glass production method according to claim 2, characterized in that, The process of obtaining the extraction stage includes: Dividing all sampling moments into at least two extraction stages with the sampling moments corresponding to the inflection points on the vacuum pump power change curve as the interval points.

4. A method for producing energy-saving vacuum glass according to claim 1, characterized in that, The process of obtaining the gas evolution remaining degree includes: Arranging all the temperature data at each monitoring point in the extraction stage where the current moment is located in chronological order and performing curve fitting to obtain the corresponding local temperature data curve; on the local temperature data curve, determining the self-temperature evolution index at each monitoring point by multiplying the mean value of the tangent slopes at all sampling moments by the mean value of the temperature data. Take each monitoring point as the target point in sequence; take the other monitoring points outside the target point as the reference influence points; determine the air pressure influence coefficient of the target point according to the position distribution of each reference influence point relative to the target point and the vacuum pipeline air extraction port and the corresponding self-temperature precipitation index. Determine the air extraction coefficient of the target point based on the overall magnitude of the vacuum pump power data in the extraction stage at the current moment and the proximity of the air extraction port of the vacuum pipeline at the target point. Determine the degree of gas precipitation residue of the target point in the extraction stage at the current moment according to the self-temperature precipitation index of the target point, the air pressure influence coefficient, and the air extraction coefficient; among them, both the air pressure influence coefficient and the air extraction coefficient are negatively correlated with the degree of gas precipitation residue; the self-temperature precipitation index of the target point is positively correlated with the degree of gas precipitation residue.

5. The energy-saving vacuum glass production method according to claim 4, wherein The acquisition process of the air pressure influence coefficient includes: In the three-dimensional space corresponding to the vacuum furnace cavity, take the line segment from each target point pointing to the vacuum pipeline air extraction port as the reference line segment; take the plane passing through the target point and perpendicular to the reference line segment as the reference plane of the target point. On both sides of the reference plane, take all the reference influence points on the side with the vacuum pipeline air extraction port as the reverse influence points of the target point; take the other reference influence points outside the reverse influence points as the forward influence points of the target point. Take the negative correlation mapping value of the Euclidean distance between each reference influence point and the target point as the distance influence weight; determine the corresponding weighted temperature precipitation index according to the product of the distance influence weight of each reference influence point and the corresponding self-temperature precipitation index. Determine the reverse influence coefficient according to the cumulative value of the weighted temperature precipitation indices of all reverse influence points; determine the forward influence coefficient according to the cumulative value of the weighted temperature precipitation indices of all forward influence points. Determine the air pressure influence coefficient of the target point according to the ratio between the forward influence coefficient and the reverse influence coefficient.

6. A method for producing an energy-saving vacuum glass according to claim 4, characterized in that, The acquisition process of the air extraction coefficient includes: Take the mean value of the vacuum pump power data at all sampling moments in the extraction stage at the current moment as the current extraction power; take the negative correlation mapping value of the Euclidean distance between the target point and the vacuum pipeline air extraction port as the extraction distance weight; determine the air extraction coefficient of the target point according to the product of the extraction distance weight and the current extraction power.

7. A method for producing an energy-saving vacuum glass according to claim 3, characterized in that, The acquisition process of the local extraction efficiency includes: In the extraction stage at the current moment, the vacuum degree monitoring values of each monitoring point at all sampling moments are arranged in chronological order and then curve-fitted to obtain the vacuum degree monitoring curve; normalize the tangent slope of each sampling moment on the vacuum degree monitoring curve to determine the vacuum degree change rate; take the normalized value of the vacuum pump power data at each sampling moment as the reference power parameter; determine the reference extraction efficiency according to the ratio between the vacuum degree change rate and the reference power parameter. Perform negative correlation mapping on the ratio between the normalized value of the gas flow data at each sampling moment and the reference power parameter to determine the exhaust path obstruction. Perform a negative correlation mapping on the product between the gas evolution remaining degree and the exhaust path obstruction at each sampling moment to determine the reference compensation weight for each monitoring point at each sampling moment; take the product of the reference compensation weight and the reference extraction efficiency as the weighted extraction efficiency for each monitoring point at each sampling moment. Determine the local extraction efficiency for each monitoring point in the extraction stage at the current moment based on the cumulative value of the weighted extraction efficiencies at all sampling moments in the extraction stage where each monitoring point is located at the current moment.

8. A method for producing an energy-saving vacuum glass according to claim 1, characterized in that The process for obtaining the vacuum pump power adjustment coefficient includes: Take the ratio of the negative correlation mapping value of the local extraction efficiency to the vacuum degree monitoring value of each monitoring point at the current moment as the local power demand coefficient of each monitoring point at the current moment; determine the overall power demand coefficient based on the mean value of the local power demand coefficients of all monitoring points at the current moment. Perform a positive correlation mapping on the product between the negative correlation mapping value of the adjustment influence intensity and the overall power demand coefficient to determine the vacuum pump power adjustment coefficient at the current moment.

9. A method for producing an energy-saving vacuum glass according to claim 1, characterized in that, The process for performing real-time adjustment of the vacuum pump power according to the vacuum pump power adjustment coefficient includes: Use the vacuum pump power adjustment coefficient as the proportional gain coefficient of the PID controller to perform real-time adjustment of the vacuum pump power.

10. An energy-saving vacuum glass, characterized in that, Produced by using an energy-saving vacuum glass production method according to any one of claims 1-9.

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