A thermal insulation and sound insulation window sealing performance detection device and method

Abstract

The present invention relates to the technical field of sealing detection, and in particular to a device and method for detecting the sealing performance of a heat-insulating and sound-insulating window, wherein the device comprises: a fixed frame; a positioning assembly, arranged on the fixed frame; a mobile frame, moving up and down above the fixed frame; a vibration generator, arranged on the mobile frame and aligned with the center of the window assembly to be tested; a plurality of detection probes, divided into a front detection group and a rear detection group; in the front detection group, the detection probes are distributed along the circumference of the window assembly to be tested; a plurality of detection probes are divided into a plurality of groups, and the distance between the detection probes in each group and the center of the window assembly to be tested is equal; in the rear detection group, the detection probes are distributed along the circumference of the window assembly to be tested; a plurality of detection probes are divided into two groups, respectively distributed on the short side and the long side of the window assembly to be tested; the detection probes in the front detection group and the detection probes in the rear detection group are vertically staggered. The present invention can effectively solve the problem that the detection of the prior art is not convenient enough and the unqualified position cannot be determined.

Description

Technical Field

[0001] The present invention relates to the technical field of sealing detection, and in particular to a device and method for detecting the sealing performance of a heat-insulating and sound-insulating window. Background Art

[0002] In order to improve the comfort of living and working environment in buildings, building components such as windows must not only have basic airtightness, but also must have effective heat insulation and sound insulation functions to ensure the stability of indoor temperature while preventing external noise from interfering with the daily life and work of residents or staff.

[0003] Common heat-insulating and sound-insulating windows usually rely on the mutual isolation between double or multiple layers of glass to achieve the effect of sound insulation and heat insulation. The structure between the glass is as follows: Figure 1 As shown, an annular rubber sealing ring is provided between adjacent glass to create a gap between the glass, and glue is applied between the sealing ring and the glass. In the existing related technologies, there is usually a lack of convenient detection means for the sealing performance of heat-insulating and sound-insulating windows, and during the detection, only a simple pass or fail result can be obtained, and the specific unqualified position cannot be detected. Summary of the invention

[0004] The present invention provides a device and method for detecting the sealing performance of a heat-insulating and sound-insulating window, which can effectively solve the problems in the background technology that the detection is not convenient enough and the unqualified position cannot be determined.

[0005] The present invention provides a thermal insulation and sound insulation window sealing performance detection device, comprising:

[0006] Fixed frame, independent fixed setting;

[0007] A positioning assembly, arranged on a fixing frame, for fixing the relative position of the window assembly to be tested and the fixing frame;

[0008] The mobile frame moves up and down above the fixed frame;

[0009] A vibration generator is arranged on a mobile frame and is aligned with the center of the window assembly to be tested;

[0010] A plurality of detection probes are used to detect vibration of the window assembly to be tested; the plurality of detection probes are divided into a front detection group and a rear detection group;

[0011] In the front detection group, each detection probe is arranged on a fixed frame and distributed along the circumference of the window assembly to be tested; the multiple detection probes are divided into multiple groups, and the detection probes in each group are at an equal distance from the center of the window assembly to be tested;

[0012] In the rear detection group, each detection probe is arranged on a movable frame and distributed along the circumference of the window assembly to be tested; the multiple detection probes are divided into two groups, which are respectively distributed on the short side and the long side of the window assembly to be tested;

[0013] The detection probes in the front detection group and the detection probes in the rear detection group are vertically staggered.

[0014] Further, the positioning assembly includes two first abutment rods and two second abutment rods;

[0015] The axes of the two first abutment rods are parallel to the long sides of the window assembly to be tested, and they move horizontally towards and away from each other;

[0016] The axes of the two second abutment rods are parallel to the short sides of the window assembly to be tested, and they perform horizontal movements approaching and moving away from each other.

[0017] Furthermore, it also includes a plurality of elastic components, and the detection probe is installed through the elastic components;

[0018] Each elastic component includes:

[0019] The sliding seat is provided with a sliding rod extending in a direction away from the window assembly to be tested, and the sliding rod passes through the fixed frame or the movable frame; the detection probe is fixedly installed on the sliding seat;

[0020] The spring is mounted on the slide rod.

[0021] Furthermore, in each elastic component, a plurality of sliding rods are provided.

[0022] The present invention also provides a method for detecting the sealing performance of a heat-insulating and sound-insulating window, using the above-mentioned heat-insulating and sound-insulating window sealing performance detection device, the steps comprising:

[0023] S10: In the front detection group, the detection probes are divided into three groups: A, B, and C. The four detection probes in group A are distributed at the four corners of the window assembly to be tested, the four detection probes in group B are distributed on the two short sides of the window assembly to be tested, and the four detection probes in group C are distributed on the long sides of the window assembly to be tested;

[0024] In the rear detection group, the detection probes are divided into two groups, D and E. The six detection probes in group D are distributed on the two short sides of the window assembly to be tested, and the six detection probes in group E are distributed on the two long sides of the window assembly to be tested;

[0025] S20: placing the window assembly to be tested on the positioning assembly, and then moving the movable frame downward so that the vibration generator and the detection probe are both attached to the window assembly to be tested;

[0026] S30: The vibration generator vibrates within a set time, records the vibration data received by each detection probe, and obtains the maximum peak value of the vibration data received by each detection probe;

[0027] S40: judging the maximum peak value of each detection probe, and screening out suspicious data that may be inaccurate;

[0028] S50: removing the vibration data of the detection probes of all suspicious data, and then establishing a screening model according to the remaining vibration data, and finding abnormal points on the same side of the vibration generator and abnormal segments on different sides of the vibration generator through the screening model, and determining the unqualified segment and the bubble segment according to the corresponding relationship between the abnormal points and the abnormal segments;

[0029] S60: Replace the new window assembly to be tested and return to S20.

[0030] Furthermore, in step S40, the specific steps of screening suspicious data are:

[0031] According to groups A to E, the median and standard deviation of all the maximum peaks in each group were calculated, and the mean values ​​were recorded as midA0, midB0, ... midE0; the standard deviations were σA0, σB0, ... σE0;

[0032] According to groups A to G, the credible intervals of each group are established, which are (midA0-k·σA0, midA0+k·σA0), (midB0-k·σB0, midB0+k·σB0)…(midE0-k·σE0, midE0+k·σE0), k is the suspicious coefficient, taking 0<k<1;

[0033] It is determined whether the maximum peak value of each detection probe is within the corresponding credible interval. If not, the maximum peak value of the corresponding detection probe is recorded as suspicious data.

[0034] Furthermore, in step S50, the screening model is established as follows:

[0035] Take the maximum peak values ​​of each detection probe recorded in the most recent few tests, remove all suspicious data, and then divide them into groups A to G to find the average value and standard deviation of the maximum peak values ​​of all records in each group. The average values ​​are recorded as avgA, avgB...avgE; the standard deviations are σA, σB...σE;

[0036] According to groups A to G, the screening intervals of each group are established, which are (avgA-σA, avgA+σA), (avgB-σB, avgB+σB)…(avgE-σE, avgE+σE);

[0037] It is determined whether the maximum peak value of each detection probe in this detection is within the corresponding screening interval. If not, the corresponding detection probe position is recorded as an abnormal point.

[0038] Furthermore, in step S50, the specific steps for determining the unqualified segment and the bubble segment are:

[0039] On the same side of the vibration generator, directly use the determined abnormal point;

[0040] On different sides of the vibration generator, the sections on both sides of the abnormal point are recorded as abnormal sections;

[0041] If the abnormal point corresponds to an abnormal segment, the abnormal segment is recorded as a failed segment;

[0042] If the abnormal point does not correspond to the abnormal segment, it is determined whether both ends of each abnormal segment are abnormal points. If so, the abnormal segment is recorded as a bubble segment.

[0043] Furthermore, in step S50, the frequency of unqualified segments Ndis and the frequency of bubble segments Nbub are also set;

[0044] When an unqualified segment appears in this test, compare it with the previous tests to see if there is an unqualified segment in the same position. If so, add 1 to the unqualified segment frequency Ndis.

[0045] When an unqualified segment appears in this test, compare it with the previous tests to see if there is a bubble segment at the same position. If so, add 1 to the bubble segment frequency Nbub.

[0046] When the value of the unqualified segment frequency Ndis or the bubble segment frequency Nbub exceeds the set threshold, an alarm is issued;

[0047] When the values ​​of the unqualified segment frequency number Ndis and the bubble segment frequency number Nbub do not change after a set number of multiple tests, the values ​​of Ndis and Nbub are cleared.

[0048] Furthermore, in step S20, before placing the window assembly to be tested on the positioning assembly, an air flow is first used to blow the surface of the window assembly to clean it.

[0049] The technical solution of the present invention can achieve the following technical effects:

[0050] 1. The present invention divides the detection probes into multiple groups (A~E groups) and arranges the probes according to different parts of the window assembly, thereby ensuring comprehensive coverage and detection of various key areas of the window assembly, and then by detecting the vibration conduction capacity of each area of ​​the window assembly, it is determined whether there is unqualified sealing in each area of ​​the window assembly, thereby quickly and accurately finding the unqualified areas.

[0051] 2. The entire detection process of the present invention, from the placement of the window components, the fitting of the probe, the collection of data to the judgment of abnormalities, is an automated operation, which greatly improves the efficiency of the detection and reduces the possible errors and time costs of manual intervention. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0053] Figure 1 It is a structural schematic diagram of a heat-insulating and sound-insulating window assembly in the background technology;

[0054] Figure 2 It is a schematic diagram of the structure of the thermal insulation and sound insulation window sealing performance detection device of the present invention during detection;

[0055] Figure 3 This is a schematic diagram of the structure of the heat-insulating and sound-insulating window sealing performance detection device of the present invention when it is opened (the positioning component is hidden);

[0056] Figure 4 This is a front view of the thermal insulation and sound insulation window sealing performance detection device of the present invention when it is opened (the positioning component is hidden);

[0057] Figure 5 For the present invention Figure 4 A magnified image of point A;

[0058] Figure 6 It is a structural schematic diagram of the positioning component in the present invention;

[0059] Figure 7 This is a schematic diagram of the distribution of detection probes of the front detection group in the present invention;

[0060] Figure 8 This is a schematic diagram of the distribution of detection probes of the rear detection group in the present invention;

[0061] Reference numerals

[0062] 1. Fixed frame; 2. Positioning assembly; 3. Moving frame; 4. Vibration generator; 5. Detection probe; 6. Elastic assembly; 61. Sliding seat; 62. Sliding rod; 63. Spring. DETAILED DESCRIPTION

[0063] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0064] In the description of the present invention, it should be noted that the orientations or positional relationships indicated by “center”, “up”, “down”, “left”, “right”, “vertical”, “horizontal”, “inside” and “outside”, etc., are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention.

[0065] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0066] The present invention relates to a device for detecting the sealing performance of a heat-insulating and sound-insulating window. Figures 2~4 As shown, including:

[0067] A fixing frame 1 is independently fixed and can be usually fixedly mounted on the ground or other fixing brackets;

[0068] The positioning assembly 2 is arranged on the fixing frame 1 and is used to fix the relative position of the window assembly to be tested and the fixing frame 1, so as to ensure that each detection probe 5 can be attached to the same position of the window assembly to be tested each time;

[0069] The mobile frame 3 moves up and down above the fixed frame 1;

[0070] A vibration generator 4 is arranged on the mobile frame 3 and is aligned with the center of the window assembly to be tested;

[0071] Multiple detection probes 5 are used to detect the vibration of the window assembly to be tested; the multiple detection probes 5 are divided into a front detection group and a rear detection group, the front detection group and the vibration generator 4 are on the same side of the window assembly to be tested, and the rear detection group and the vibration generator 4 are on different sides of the window assembly to be tested;

[0072] In the front detection group, each detection probe 5 is arranged on the fixing frame 1 and is distributed along the circumference of the window assembly to be tested; the multiple detection probes 5 are divided into multiple groups, and the distance between the detection probes 5 in each group and the center of the window assembly to be tested is equal;

[0073] In the rear detection group, each detection probe 5 is arranged on the mobile frame 3 and distributed along the circumference of the window assembly to be tested; the multiple detection probes 5 are divided into two groups, which are respectively distributed on the short side and the long side of the window assembly to be tested;

[0074] The detection probes 5 in the front detection group and the detection probes 5 in the rear detection group are vertically staggered.

[0075] The specific working principle of this detection device is as follows: when detecting the window assembly to be tested, first place it on the positioning assembly 2, and when it is placed, one side of the window assembly to be tested has already abutted against the detection probe 5 of the rear detection group; then the moving frame 3 descends, so that the vibration generator 4 and the detection probe 5 of the front detection group also abut against the window assembly to be tested; then the vibration generator 4 will start to generate a sinusoidal wave vibration of a set value. Once a gap appears between the sealing ring and the glass of the window assembly to be tested due to glue leakage, bubbles, etc. (that is, the window assembly is not sealed tightly), it will affect the transmission of the vibration wave, so that the transmission of the vibration on the window assembly to be tested is detected by the detection probe 5, and the unqualified sealing of the window assembly to be tested can be inferred.

[0076] Preferably, two first abutment rods and two second abutment rods are provided in the positioning assembly 2, such as Figure 6 As shown; the axes of the two first abutment rods are parallel to the long side of the window assembly to be tested, and they move horizontally towards and away from each other under the drive of the screw motor; the axes of the two second abutment rods are parallel to the short side of the window assembly to be tested, and they move horizontally towards and away from each other under the drive of the screw motor. This structure can make the window assembly to be tested more casual when placed. After the window assembly to be tested is placed, the two first abutment rods and the two second abutment rods are close to each other to push the window assembly to the most central position, so that the relative positions of the window assembly to be tested, the vibration generator 4 and the detection probe 5 are aligned. During detection, the two first abutment rods and the two second abutment rods are further away from the window assembly to be tested to avoid affecting the vibration of the window assembly to be tested.

[0077] In order to ensure the detection accuracy of each detection probe, a plurality of elastic components 6 are preferably provided in the detection device, and the detection probe 5 is installed through the elastic components 6; each elastic component 6 is as follows: Figure 5 As shown, including:

[0078] The sliding seat 61 is provided with a sliding rod 62 extending in a direction away from the window assembly to be tested, and the sliding rod 62 passes through the fixed frame 1 or the movable frame 3; the detection probe 5 is fixedly mounted on the sliding seat 61;

[0079] The spring 63 is sleeved on the slide bar 62 .

[0080] The working principle of the elastic component 6 is as follows: if the detection probe 5 is simply fixed on the fixed frame 1 and the movable frame 3, due to the errors in manufacturing and installation, it will be difficult to ensure that the abutting surfaces of the detection probe 5 are in the same plane. When contacting the window assembly to be measured, some detection probes 5 will produce greater pressure on the window assembly to be measured, while others will produce less pressure, thereby affecting the detection accuracy of the detection probe 5; while through the elastic component 6, when the detection probe 5 abuts against the window assembly to be measured, the sliding seat 61 will move a certain distance to compress the spring 63, and the detection probe 5 will be pressed against the window assembly to be measured by the force after the spring 63 is deformed, so that each detection probe 5 can be ensured to be fitted, and even if there is a slight installation error that causes the installation heights of each detection probe 5 to be different, this error can be ignored for the thrust generated by the deformation of each spring 63, thereby ensuring that the adhesion force of each detection probe 5 to the window assembly to be measured is consistent, thereby improving the credibility of the data detected by the detection probe 5.

[0081] In each elastic component 6 , a plurality of slide bars 62 are preferably provided, so that the detection probe 5 will not be skewed, rotated, or other problems when sliding, and the detection accuracy of the detection probe 5 is further ensured.

[0082] The present invention also relates to a method for detecting the sealing performance of a heat-insulating and sound-insulating window, using the above-mentioned heat-insulating and sound-insulating window sealing performance detection device, the steps comprising:

[0083] S10: within the previous detection group, e.g. Figure 7 As shown, the detection probes 5 are divided into three groups, A, B, and C. The four detection probes 5 in group A are distributed at the four corners of the window assembly to be tested (such as A1, A2, A3, and A4), the four detection probes 5 in group B are distributed on the two short sides of the window assembly to be tested (such as B1, B2, B3, and B4), and the four detection probes 5 in group C are distributed on the long sides of the window assembly to be tested (such as C1, C2, C3, and C4);

[0084] After testing the group, Figure 8 As shown, the detection probes 5 are divided into two groups, D and E. The six detection probes 5 in group D are distributed on the two short sides of the window assembly to be tested (such as D1, D2, D3, D4, D5, and D6), and the six detection probes 5 in group E are distributed on the two long sides of the window assembly to be tested (such as E1, E2, E3, E4, E5, and E6);

[0085] Since the vibration is transmitted from the center of the glass on one side of the vibration generator 4 to the outside, and then transmitted to the glass on the other side through the rubber sealing ring, under this grouping, the detection data of each detection probe 5 in the group will be closer, so it will be easier to distinguish once an abnormal item occurs.

[0086] S20: placing the window assembly to be tested on the positioning assembly 2, and then the moving frame 3 moves downward so that the vibration generator 4 and the detection probe 5 are both in contact with the window assembly to be tested.

[0087] S30: the vibration generator 4 emits sinusoidal wave vibration within a set time, records the vibration waveform data received by each detection probe 5, and obtains the maximum peak value of the waveform of the vibration data received by each detection probe 5.

[0088] S40: Determine the maximum peak value of each detection probe 5 and filter out suspicious data that may be inaccurate. Such suspicious data is usually too large or too small compared to other data in the same group, and needs to be marked to avoid affecting subsequent calculations.

[0089] S50: Remove the vibration data of the detection probe 5 of all suspicious data, and then establish a screening model based on the remaining vibration data. At this time, the values ​​used by the screening model are closer to normal values, so that abnormal values ​​can be effectively screened out later. After the screening model is established, the data of all detection probes 5 can be input into the screening model, and then the abnormal points on the same side of the vibration generator 4 and the abnormal segments on different sides of the vibration generator 4 are found according to the screening model, and the unqualified segments and bubble segments are determined according to the corresponding relationship between the abnormal points and the abnormal segments.

[0090] S60: If other window components need to be tested, replace the new window component to be tested and return to S20 to perform a new round of testing.

[0091] Preferably, in step S40, the specific steps of screening suspicious data are:

[0092] Since each time a window component is inspected, the inspection data of the window component may change due to changes in production conditions, when screening suspicious data, it is mainly necessary to make judgments based on the corresponding conditions of its own data;

[0093] According to groups A to E, the median and standard deviation of all the maximum peak values ​​in each group were calculated, and the average values ​​were recorded as midA0, midB0...midE0; the standard deviations were σA0, σB0...σE0; according to groups A to G, the credible intervals of each group were established, which were (midA0-k·σA0, midA0+k·σA0), (midB0-k·σB0, midB0+k·σB0)...(midE0-k·σE0, midE0+k·σE0), k was an artificially set suspicious coefficient, taking 0<k<1, and the larger the value of k, the smaller the screening sensitivity;

[0094] It is determined whether the maximum peak value of each detection probe 5 is within the corresponding credible interval. If not, it means that the data there is a large gap with other data in the same group, and the maximum peak value of the corresponding detection probe 5 is recorded as suspicious data.

[0095] Preferably, in step S50, establishing the screening model is specifically as follows:

[0096] Since the suspicious data that may appear during the test has been screened out in step S40, this simple screening is only based on one test, and therefore does not take into account the quality fluctuations that may exist in the entire production line. Therefore, it is necessary to reconstruct a judgment standard by combining multiple test results;

[0097] Take the maximum peak value of each detection probe 5 recorded in the most recent detections (for example, take the detection data of the most recent 10 times including this detection), and after eliminating all suspicious data, the remaining data is the data of relatively normal values. At this time, the average value and standard deviation of the maximum peak value of all records in each group can be obtained according to groups A to G. The average values ​​are recorded as avgA, avgB...avgE; the standard deviations are σA, σB...σE; then the screening intervals of each group are established according to groups A to G, which are (avgA-σA, avgA+σA), (avgB-σB, avgB+σB)...(avgE-σE, avgE+σE);

[0098] It is determined whether the maximum peak value of each detection probe 5 in this detection is within the corresponding screening interval. If not, the corresponding detection probe 5 position is recorded as an abnormal point.

[0099] In step S50, the specific steps for determining the unqualified segment and the bubble segment are:

[0100] On the same side of the vibration generator 4, directly use the determined abnormal point; for example, if the detection probe 5 numbered A1 detects abnormal data, then A1 is recorded as the abnormal point; there can be multiple abnormal points;

[0101] On different sides of the vibration generator 4, the sections on both sides of the abnormal point are recorded as abnormal sections; for example, if the detection probe 5 numbered D1 detects abnormal data, D1-D2 and D1-E6 are recorded as abnormal sections; there can be multiple abnormal sections, if the detection probes 5 numbered D1 and D2 both detect abnormal data, D1-D2, D2-D3 and D1-E6 are recorded as abnormal sections;

[0102] If the abnormal point corresponds to the abnormal segment, for example, A1 corresponds to D1-E6, it means that the vibration is concentrated at A1 and not transmitted to the opposite side, and D1 does not receive the vibration energy. At this time, it is very likely that the sealing rubber ring has leaked glue at the position of D1-E6, resulting in a gap between the sealing rubber ring and the glass. In this case, the abnormal segment is recorded as an unqualified segment;

[0103] If the abnormal point does not correspond to the abnormal segment, for example, it cannot correspond to D1-D2 at A1, it means that the vibration at B1 corresponding to D1-D2 can be transmitted to the opposite side, but D1 does not receive enough vibration energy. It is possible that there are bubbles in the glue between the sealing rubber ring and the glass, resulting in insufficient contact between the two. Of course, it may also be due to the influence of the lack of contact at A1. Therefore, it is determined whether the two ends of each abnormal segment are abnormal points. If so, it means that the vibration energy attenuation of this segment is obvious, which is most likely due to the influence of bubbles. The abnormal segment is recorded as a bubble segment.

[0104] In order to reflect whether the unqualified and bubbled components are individual problems of the window assembly or the overall problem of the production line, it is preferred that in step S50, the unqualified segment frequency Ndis and the bubble segment frequency Nbub are also set;

[0105] When an unqualified segment appears in this test, compare it with the previous tests to see if there is an unqualified segment in the same position. If so, add 1 to the unqualified segment frequency Ndis.

[0106] When an unqualified segment appears in this test, compare it with the previous tests to see if there is a bubble segment at the same position. If so, add 1 to the bubble segment frequency Nbub.

[0107] When the value of the unqualified segment frequency Ndis or the bubble segment frequency Nbub exceeds the set threshold, it means that unqualified and bubble problems occur frequently, which is very likely to be a problem with the production line. An alarm needs to be issued to remind personnel to repair the production line;

[0108] After a set number of multiple tests, if the values ​​of the unqualified segment frequency Ndis and the bubble segment frequency Nbub do not change (for example, if it is set to 10 times, and there are no unqualified and bubble problems after 10 consecutive tests), it means that there is no fault in the production line as a whole, and the values ​​of Ndis and Nbub can be cleared.

[0109] Preferably, in step S20 , before placing the window assembly to be tested on the positioning assembly 2 , the surface of the window assembly to be tested is first cleaned by blowing air to prevent dust and impurities from affecting the accuracy of detection by the detection probe 5 .

[0110] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A thermal insulation and sound insulation window sealing performance detection device, characterized in that: include: A fixing frame (1), independently fixedly arranged; A positioning assembly (2), arranged on the fixing frame (1), and used for fixing the relative position of the window assembly to be tested and the fixing frame (1); A movable frame (3) moves up and down above the fixed frame (1); A vibration generator (4) is arranged on the movable frame (3) and is aligned with the center of the window assembly to be tested; A plurality of detection probes (5) for detecting vibration of the window assembly to be tested; the plurality of detection probes (5) are divided into a front detection group and a rear detection group; In the front detection group, each detection probe (5) is arranged on the fixing frame (1) and is distributed along the circumference of the window assembly to be detected; the plurality of detection probes (5) are divided into a plurality of groups, and the detection probes (5) in each group are at an equal distance from the center of the window assembly to be detected; In the rear detection group, each of the detection probes (5) is arranged on the mobile frame (3) and distributed along the circumference of the window assembly to be tested; the plurality of detection probes (5) are divided into two groups, which are respectively distributed on the short side and the long side of the window assembly to be tested; The detection probe (5) in the front detection group and the detection probe (5) in the rear detection group are vertically staggered.

2. The thermal insulation and sound insulation window sealing performance detection device according to claim 1, characterized in that: The positioning assembly (2) comprises two first abutment rods and two second abutment rods; The axes of the two first contact rods are parallel to the long sides of the window assembly to be tested, and they move horizontally towards and away from each other; The axes of the two second abutment rods are parallel to the short sides of the window assembly to be tested, and they perform horizontal movement towards and away from each other.

3. The thermal insulation and sound insulation window sealing performance detection device according to claim 1, characterized in that: It also comprises a plurality of elastic components (6), and the detection probe (5) is installed via the elastic components (6); Each of the elastic components (6) comprises: The sliding seat (61) is provided with a sliding rod (62) extending in a direction away from the window assembly to be tested, and the sliding rod (62) passes through the fixed frame (1) or the movable frame (3); the detection probe (5) is fixedly mounted on the sliding seat (61); A spring (63) is sleeved on the slide bar (62).

4. The thermal insulation and sound insulation window sealing performance detection device according to claim 3, characterized in that: In each of the elastic components (6), a plurality of sliding rods (62) are provided.

5. A method for testing the sealing performance of heat-insulating and sound-insulating windows, characterized in that: Using the thermal insulation and sound insulation window sealing performance detection device as described in any one of claims 1 to 4, the steps include: S10: In the front detection group, the detection probes (5) are divided into three groups, namely, A, B, and C. The four detection probes (5) in group A are distributed at the four corners of the window assembly to be tested, the four detection probes (5) in group B are distributed at the two short sides of the window assembly to be tested, and the four detection probes (5) in group C are distributed at the long sides of the window assembly to be tested; In the rear detection group, the detection probes (5) are divided into two groups, D and E, wherein the six detection probes (5) in group D are distributed on the two short sides of the window assembly to be tested, and the six detection probes (5) in group E are distributed on the two long sides of the window assembly to be tested; S20: placing the window assembly to be tested on the positioning assembly (2), and then the moving frame (3) moves downward so that the vibration generator (4) and the detection probe (5) are both in contact with the window assembly to be tested; S30: the vibration generator (4) vibrates within a set time, records the vibration data received by each detection probe (5), and obtains the maximum peak value of the vibration data received by each detection probe (5); S40: determining the maximum peak value of each detection probe (5) and screening out suspicious data that may be inaccurate; S50: The vibration data of the detection probe (5) of all suspicious data are eliminated, and then a screening model is established based on the remaining vibration data, and the abnormal points on the same side of the vibration generator (4) and the abnormal sections on different sides of the vibration generator (4) are found through the screening model, and the unqualified sections and bubble sections are determined based on the corresponding relationship between the abnormal points and the abnormal sections; S60: Replace the new window assembly to be tested and return to S20.

6. The method for testing the sealing performance of heat-insulating and sound-insulating windows according to claim 5, characterized in that: In step S40, the specific steps of screening suspicious data are: According to groups A to E, the median and standard deviation of all the maximum peaks in each group were calculated, and the mean values ​​were recorded as midA0, midB0...midE0; the standard deviations were σA0, σB0...σE0; According to groups A to G, the credible intervals of each group are established, which are (midA0-k·σA0, midA0+k·σA0), (midB0-k·σB0, midB0+k·σB0)…(midE0-k·σE0, midE0+k·σE0), k is the suspicious coefficient, taking 0<k<1; It is determined whether the maximum peak value of each detection probe (5) is within the corresponding credible interval; if not, the maximum peak value of the corresponding detection probe (5) is recorded as suspicious data.

7. The method for testing the sealing performance of heat-insulating and sound-insulating windows according to claim 5, characterized in that: In step S50, the screening model is established as follows: Take the maximum peak values ​​of each detection probe (5) recorded in the most recent detections, remove all suspicious data, and then divide into groups A to G to find the average value and standard deviation of the maximum peak values ​​of all records in each group. The average values ​​are recorded as avgA, avgB...avgE; the standard deviations are σA, σB...σE; According to groups A to G, the screening intervals of each group are established, which are (avgA-σA, avgA+σA), (avgB-σB, avgB+σB)…(avgE-σE, avgE+σE); It is determined whether the maximum peak value of each detection probe (5) in this detection is within the corresponding screening interval. If not, the corresponding detection probe (5) position is recorded as an abnormal point.

8. The method for testing the sealing performance of heat-insulating and sound-insulating windows according to claim 7, characterized in that: In step S50, the specific steps for determining the unqualified segment and the bubble segment are: On the same side of the vibration generator (4), directly use the determined abnormal point; On different sides of the vibration generator (4), sections on both sides of the determined abnormal point are recorded as abnormal sections; If the abnormal point corresponds to an abnormal segment, the abnormal segment is recorded as a failed segment; If the abnormal point does not correspond to the abnormal segment, it is determined whether both ends of each abnormal segment are abnormal points. If so, the abnormal segment is recorded as a bubble segment.

9. The method for testing the sealing performance of heat-insulating and sound-insulating windows according to claim 8, characterized in that: In step S50, the frequency of unqualified segments Ndis and the frequency of bubble segments Nbub are also set; When an unqualified segment appears in this test, compare it with the previous tests to see if there is an unqualified segment in the same position. If so, add 1 to the unqualified segment frequency Ndis. When an unqualified segment appears in this test, compare it with the previous tests to see if there is a bubble segment at the same position. If so, add 1 to the bubble segment frequency Nbub. When the value of the unqualified segment frequency Ndis or the bubble segment frequency Nbub exceeds the set threshold, an alarm is issued; When the values ​​of the unqualified segment frequency number Ndis and the bubble segment frequency number Nbub do not change after a set number of multiple tests, the values ​​of Ndis and Nbub are cleared.

10. The method for testing the sealing performance of heat-insulating and sound-insulating windows according to claim 5, characterized in that: In step S20, before placing the window assembly to be tested on the positioning assembly (2), an air flow is first used to blow the surface of the window assembly to be tested to clean it.

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