Sound insulation performance detection method and system based on door

Abstract

The invention relates to a door-based sound insulation performance detection method and system, and relates to the field of door and window detection technologies, and the method comprises the steps: obtaining a detection influence index of a to-be-detected sound insulation sample; establishing a historical interval taking the current time point as a rear end point and the width as historical duration on the time axis, and acquiring historical influence indexes and historical sound insulation quantities of the sound insulation samples in the historical interval; performing comparison according to the detection influence index and the historical influence index to determine the sample similarity, defining the sound insulation samples with the sample similarity greater than the demand similarity as similar samples, and determining a reasonable sound insulation range according to the historical sound insulation amount of each similar sample; the detection device is controlled to work to obtain the detected sound insulation amount, and whether the detected sound insulation amount is within the reasonable sound insulation range or not is judged; if so, outputting a normal detection signal; and if not, outputting an abnormal detection signal. The sound insulation performance detection device has the effect of improving the sound insulation performance detection operation effect of the door.

Description

Technical Field

[0001] The present application relates to the field of door and window detection technology, and in particular to a door-based sound insulation performance detection method and system. Background Art

[0002] With the development of the economy, people have higher and higher requirements for the quality of life. In daily life, if you want to have a quiet sleeping environment or an environment where you will not be disturbed, in addition to the sound insulation of the walls, the sound insulation of the door is also an important factor. Therefore, the sound insulation performance of the door needs to be tested before it leaves the factory to ensure that the sound insulation performance of the door can meet user needs.

[0003] In the related art, when testing the sound insulation performance of a door, a reverberation chamber and a soundproof cover are generally set up, and the test sample is placed in the reverberation chamber to isolate the reverberation chamber. At this time, sound is output on one side of the sample and received on the other side to determine the sound insulation performance.

[0004] In the above-mentioned related technologies, when the staff takes the samples, they may be negligent and take the samples incorrectly. At this time, the sound insulation performance data of the door corresponding to the sample that actually needs to be tested will not correspond and will be inaccurate. The staff cannot be informed of this problem in time, resulting in poor detection results. There is still room for improvement. Summary of the invention

[0005] In order to improve the sound insulation performance detection effect of doors, the present application provides a sound insulation performance detection method and system based on doors.

[0006] In a first aspect, the present application provides a method for detecting the sound insulation performance of a door, which adopts the following technical solution: A method for detecting sound insulation performance of a door, comprising: Obtaining detection influencing indicators of the sound insulation sample to be tested, wherein the detection influencing indicators include material filling rate, filling density and opening rate; A historical interval with the current time point as the end point and a width of the preset historical duration is established on the preset time axis, and the historical impact index and historical sound insulation volume of each sound insulation sample are obtained in the historical interval; The sample similarity is determined by comparing the detection impact index and the historical impact index, and the sound insulation samples with sample similarity greater than the preset requirement similarity are defined as similar samples, and the reasonable sound insulation range is determined based on the historical sound insulation volume of each similar sample; Control the operation of the preset detection device to obtain the detection sound insulation volume, and determine whether the detection sound insulation volume is within a reasonable sound insulation range; If the detected sound insulation volume is within the reasonable sound insulation range, a normal detection signal is output; If the detected sound insulation volume is not within the reasonable sound insulation range, an abnormal detection signal is output.

[0007] Optionally, the steps of comparing the detection impact index and the historical impact index to determine the sample similarity include: definition: The material filling rate, filling density and opening rate in the detection influencing indicators are as follows: , as well as ; The material filling rate, filling density and opening rate in the historical impact indicators are , as well as ; The sample similarity is ; but ,in are the preset fixed parameters used for calculation, is the calculation weight parameter of the preset material filling rate, is the calculation weight parameter of the preset filling density, is the calculation weight parameter of the preset opening ratio, and .

[0008] Optionally, after similar samples are determined, the door-based sound insulation performance testing method also includes: Count similar samples to determine the number of similar samples; Determine whether the number of similar samples is greater than the preset benchmark requirement number; If the number of similar samples is greater than the benchmark requirement, the reasonable sound insulation range is determined based on the historical sound insulation volume of each similar sample; If the number of similar samples is not greater than the benchmark requirement, two parameters are randomly selected from the material filling rate, filling density and opening rate as fixed parameters, and the other parameter is used as a variable parameter; In the historical period, the sound insulation samples whose fixed value parameters are consistent with the current fixed value parameters are defined as reference samples, and the variable parameters of the reference samples are defined as variable reference parameters; Performing difference calculation based on the change reference parameter and the current change parameter to determine the change difference, and defining the historical sound insulation volume corresponding to the positive and smallest change difference and the negative and largest change difference as the reference sound insulation volume; A geometric calculation is performed based on two reference sound insulation volumes and the corresponding change differences to determine the simulated sound insulation volume, and similar samples are generated based on the simulated sound insulation volume and the detection influence index of the current sound insulation sample to be tested, and a reasonable sound insulation range is determined based on all similar samples.

[0009] Optionally, the step of determining a reasonable sound insulation range according to the historical sound insulation volume of each similar sample includes: The historical insulation levels of similar samples are defined as similar insulation levels; Determine similar sound insulation volumes with the largest and smallest values ​​according to a preset sorting rule, and perform a difference calculation based on similar sound insulation volumes with the largest and smallest values ​​to determine a difference sound insulation volume; Determine whether the difference sound insulation volume is greater than a preset appropriate range width; If the difference sound insulation volume is not greater than the width of the appropriate range, the maximum and minimum similar sound insulation volumes are used as endpoints to construct a reasonable sound insulation range; If the difference in sound isolation is greater than the appropriate range width, an over-range signal is output.

[0010] Optionally, after the over-range signal is output, the door-based sound insulation performance detection method further includes: Randomly select two similar sound insulation volumes from all similar sound insulation volumes to perform difference calculation to determine a random difference amount, and define a range formed by the two currently selected similar sound insulation volumes as a random selection range; The randomly selected range where the random difference value is less than the appropriate range width is defined as the effective range, and the number of effective sound insulation is determined by counting the similar sound insulation values ​​existing in the effective range; The effective sound insulation number with the largest value is determined according to the sorting rules, and the effective range corresponding to the effective sound insulation number with the largest value is determined as the reasonable sound insulation range.

[0011] Optionally, after the effective sound insulation quantity is determined, the door-based sound insulation performance detection method further includes: Determine whether there are at least two effective ranges with the largest and equal effective sound insulation quantities; If there are not at least two effective ranges with the largest and identical effective sound insulation values, the reasonable sound insulation range is determined according to the effective range corresponding to the effective sound insulation value with the largest value; If there are at least two effective ranges with the largest and identical effective sound insulation amounts, the similar sound insulation amounts within the effective range are defined as the internal sound insulation amounts, and one internal sound insulation amount is randomly selected from all the internal sound insulation amounts within the same effective range as the representative sound insulation amount, and the remaining internal sound insulation amounts are defined as comparative sound insulation amounts; Calculate the representative sound insulation volume and all the comparative sound insulation volumes to determine the approximate parameter value, and define the representative sound insulation volume whose approximate parameter value is greater than the preset approximate parameter value as a qualified representative volume; Within the same effective range, count according to the qualified representative quantity to determine the qualified number of monomers, and determine the qualified number of monomers with the largest value according to the sorting rules, and determine the effective range corresponding to the qualified number of monomers with the largest value as the reasonable sound insulation range.

[0012] In a second aspect, the present application provides a door-based sound insulation performance detection system, which adopts the following technical solution: A door-based sound insulation performance detection system, comprising: An acquisition module, used to acquire detection influencing indicators of the sound insulation sample to be tested, wherein the detection influencing indicators include material filling rate, filling density and opening rate; A processing module, connected to the acquisition module and the judgment module, for storing and processing information; A judgment module, connected with the acquisition module and the processing module, for judging the information; The processing module establishes a historical interval with the current time point as the end point and a width of the preset historical length on the preset time axis, and enables the acquisition module to obtain the historical impact index and historical sound insulation volume of each sound insulation sample in the historical interval; The processing module compares the detection impact index and the historical impact index to determine the sample similarity, and defines the sound insulation samples whose sample similarity is greater than the preset required similarity as similar samples, and determines the reasonable sound insulation range according to the historical sound insulation volume of each similar sample; The processing module controls the operation of the preset detection device so that the acquisition module acquires the detected sound insulation volume, and the judgment module judges whether the detected sound insulation volume is within a reasonable sound insulation range; If the judgment module determines that the detected sound insulation volume is within a reasonable sound insulation range, the processing module outputs a normal detection signal; If the judgment module determines that the detected sound insulation volume is not within a reasonable sound insulation range, the processing module outputs an abnormal detection signal.

[0013] In a third aspect, the present application provides a computer storage medium capable of storing a corresponding program, which has the characteristics of improving the effect of the door sound insulation performance detection operation, and adopts the following technical solutions: A computer-readable storage medium stores a computer program that can be loaded by a processor and execute any of the above-mentioned door-based sound insulation performance detection methods.

[0014] In summary, the present application includes at least one of the following beneficial technical effects: When testing the sound insulation performance of doors, the test results can be analyzed to determine whether the staff is negligent in their work, thereby improving the effect of the door sound insulation performance testing operation; When there is less reference data in the historical data, more appropriate data can be automatically simulated based on the existing data to facilitate the analysis of the test results; A more appropriate sound insulation performance data analysis range can be determined based on various historical data to improve the accuracy of the detection work. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a flow chart of the method for detecting the sound insulation performance of doors.

[0016] Figure 2 It is a module flow chart of the door-based sound insulation performance detection method. DETAILED DESCRIPTION

[0017] In order to make the purpose, technical solutions and advantages of this application more clear, the following Figure 1-Figure 2 It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0018] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0019] The present application embodiment discloses a method for detecting the sound insulation performance of a door, referring to Figure 1 The method flow of the door sound insulation performance detection method includes the following steps: Step S100: obtaining detection influencing indicators of the sound insulation sample to be detected, wherein the detection influencing indicators include material filling rate, filling density and opening rate.

[0020] The detection influencing indicators are various parameter indicators on the door that can affect the sound insulation performance of the door, including material filling rate, filling density and opening rate, among which the material filling rate is the filling rate of the sound insulation material on the door, the filling density is the added density of the sound insulation material on the door, and the opening rate is the proportion of the pores between the materials filled on the door. The detection influencing indicators are manually input by the staff before the detection test.

[0021] Step S101: establishing a historical interval with the current time point as the end point and a width of a preset historical duration on a preset time axis, and obtaining a historical impact index and a historical sound insulation volume of each sound insulation sample in the historical interval.

[0022] The time axis is a coordinate axis formed by the combination of various time points, and the coordinate axis points from the time points that have passed to the time points that have not yet arrived, wherein the time points that have passed are on the left side of the coordinate axis, and the time points that have not yet arrived are on the right side of the coordinate axis; the historical duration is the duration set by the staff to obtain and analyze various types of data obtained from the door sound insulation performance test under historical circumstances, and the historical interval is established to facilitate the acquisition and analysis of data; the historical impact index is the test impact index of the sound insulation sample tested within the historical duration, and the historical insulation volume is the parameter representing the sound insulation performance of the sound insulation sample tested within the historical duration.

[0023] Step S102: Compare the detection impact index and the historical impact index to determine the sample similarity, define the sound insulation samples whose sample similarity is greater than the preset required similarity as similar samples, and determine the reasonable sound insulation range according to the historical sound insulation volume of each similar sample.

[0024] Sample similarity is a value that reflects the similarity between two sound insulation samples under test. The larger the value, the closer the benchmark parameters of the two sound insulation samples are, that is, the closer the sound insulation performance of the two sound insulation samples is. The calculation method of sample similarity is as follows: Definition: The material filling rate, filling density and opening rate in the test influencing indicators are respectively , as well as ; The material filling rate, filling density and opening rate in the historical influencing indicators are , as well as ; The sample similarity is ;but ,in are the preset fixed parameters used for calculation, is the calculation weight parameter of the preset material filling rate, is the calculation weight parameter of the preset filling density, is the calculation weight parameter of the preset opening ratio, and ; The required similarity is the minimum sample similarity set by the staff to determine that the sound insulation performance of two samples is relatively close. Similar samples are defined to distinguish the sound insulation samples with relatively similar sound insulation performance detected under historical time lengths, which is convenient for subsequent analysis; The reasonable sound insulation range is the range of sound insulation volumes that can be obtained by testing the sound insulation materials currently tested under theoretical conditions. The reasonable sound insulation range can be determined by taking the highest historical sound insulation volume and the lowest historical sound insulation volume among all similar samples as the two endpoints of the range, and can also be determined by the method of steps S300-S402.

[0025] Step S103: Control the preset detection device to operate to obtain the detection sound insulation volume, and determine whether the detection sound insulation volume is within a reasonable sound insulation range.

[0026] The detection device is a device that can detect and process sound insulation materials, for example, a device formed by a mixture of equipment such as a reverberation chamber and a sound insulation cover. The detection device is a prior art and will not be described in detail. The detected sound insulation volume is the sound insulation performance value that the currently detected sound insulation material can have. The purpose of the judgment is to find out whether the currently detected value is the sound insulation performance value of the sound insulation sample corresponding to the detection influencing index input by the user, so as to determine whether the staff has made a mistake in sampling the sound insulation sample.

[0027] Step S1031: If the detected sound insulation volume is within a reasonable sound insulation range, a normal detection signal is output.

[0028] When the detected sound insulation volume is within a reasonable sound insulation range, it indicates that there is basically no error in taking the sound insulation sample. At this time, a normal detection signal is output to identify the situation.

[0029] Step S1032: If the detected sound insulation volume is not within a reasonable sound insulation range, an abnormal detection signal is output.

[0030] When the detected sound insulation volume is not within a reasonable sound insulation range, it indicates that there is an error in the sound insulation sample taking. At this time, an abnormal detection signal is output to identify the situation so that the testing staff can be informed of the situation in time to re-sample for testing.

[0031] After similar samples are identified, the door-based sound insulation performance testing method also includes: Step S200: Count similar samples to determine the number of similar samples.

[0032] The sample similarity number is the total number of similar samples determined, which can be determined by counting the similar samples one by one.

[0033] Step S201: Determine whether the sample similarity quantity is greater than a preset benchmark requirement quantity.

[0034] The benchmark requirement number is the minimum number of similar samples set by the staff to determine a reasonable sound insulation range. Generally, the basic requirement number is 2. The purpose of the judgment is to know whether a reasonable sound insulation range can be determined at present.

[0035] Step S2011: If the number of similar samples is greater than the benchmark required number, a reasonable sound insulation range is determined based on the historical sound insulation volume of each similar sample.

[0036] When the number of similar samples is greater than the benchmark requirement, it means that there are a large number of similar samples, and the reasonable sound insulation range can be directly determined.

[0037] Step S2012: If the sample similarity quantity is not greater than the reference requirement quantity, two parameters are randomly selected from the material filling rate, filling density and opening rate as fixed value parameters, and the other parameter is used as a variable parameter.

[0038] When the number of similar samples is not greater than the benchmark requirement, it means that there are not enough similar samples available to determine a reasonable sound insulation range and further analysis is needed. Define fixed parameters and variable parameters to effectively distinguish the three parameters in the detection influencing indicators to facilitate subsequent analysis.

[0039] Step S202: in the historical interval, a sound insulation sample whose fixed value parameters are consistent with the current fixed value parameters is defined as a reference sample, and a variable parameter of the reference sample is defined as a variable reference parameter.

[0040] Reference samples are defined to identify sound insulation samples that have one inconsistent parameter in the detection influencing index, so as to facilitate subsequent analysis; at the same time, variable reference parameters are defined to distinguish different variable parameters, so as to facilitate subsequent analysis.

[0041] Step S203: performing difference calculation according to the change reference parameter and the current change parameter to determine the change difference, and defining the historical sound insulation volume corresponding to the positive and smallest change difference and the negative and largest change difference as the reference sound insulation volume.

[0042] The variation difference is the value obtained by subtracting the current variation parameter from the variation reference parameter. The two closest sound insulation samples are determined by determining the positive and smallest variation difference and the negative and largest variation difference. At this time, the corresponding historical sound insulation volume is defined as the reference sound insulation volume for distinction, which is convenient for subsequent analysis.

[0043] Step S204: Perform geometric calculation based on two reference sound insulation volumes and the corresponding variation differences to determine the simulated sound insulation volume, generate similar samples based on the simulated sound insulation volume and the detection influence index of the current sound insulation sample to be detected, and determine a reasonable sound insulation range based on all similar samples.

[0044] The simulated sound insulation volume is the volume insulation volume that the current sound insulation sample needs to achieve under theoretical conditions. It is determined by proportional calculation of two reference sound insulation volumes and the corresponding change difference. At this time, similar samples are generated based on the simulated sound insulation volume, so that samples with reference significance can be added based on existing data, so that similar samples can be increased, and thus a reasonable sound insulation range can be determined based on similar samples.

[0045] The steps to determine the reasonable sound insulation range based on the historical sound insulation volume of each similar sample include: Step S300: defining the historical sound insulation volume of similar samples as similar sound insulation volume.

[0046] Similar soundproofing levels are defined to distinguish the historical soundproofing levels of similar samples for subsequent analysis.

[0047] Step S301: Determine similar sound insulation volumes with the largest value and the smallest value according to a preset sorting rule, and perform a difference calculation based on the similar sound insulation volumes with the largest value and the smallest value to determine a difference sound insulation volume.

[0048] The sorting rule is a method set by the staff to sort the numerical values, such as the bubble method. The sorting rule can be used to determine the two similar sound insulation volumes with the largest numerical difference. At this time, the maximum similar sound insulation volume difference, i.e. the differential sound insulation volume, can be determined by calculating the difference between the two similar sound insulation volumes.

[0049] Step S302: determining whether the difference sound insulation volume is greater than a preset appropriate range width.

[0050] The width of the appropriate range is the maximum width allowed by the staff to determine the reasonable sound insulation range. The purpose of the judgment is to find out whether the reasonable sound insulation range can be directly determined by the current maximum and minimum similar sound insulation volumes.

[0051] Step S3021: If the difference sound insulation volume is not greater than the appropriate range width, the similar sound insulation volumes with the largest and smallest values ​​are used as endpoints to construct a reasonable sound insulation range.

[0052] When the difference sound insulation volume is not greater than the width of the appropriate range, it means that the current width meets the requirements. At this time, the reasonable sound insulation range can be constructed using the similar sound insulation volumes with the largest and smallest values ​​as endpoints.

[0053] Step S3022: If the difference sound insulation volume is greater than the appropriate range width, an over-range signal is output.

[0054] When the difference sound insulation volume is greater than the appropriate range width, it means that the maximum and minimum similar sound insulation volumes cannot be used directly to determine the reasonable sound insulation range. At this time, an over-range signal is output to identify the situation, so as to facilitate the subsequent determination of the reasonable sound insulation range in this situation.

[0055] After the over-range signal is output, the door-based sound insulation performance detection method also includes: Step S400: randomly selecting two similar sound insulation volumes from all similar sound insulation volumes to perform difference calculation to determine a random difference amount, and defining a range formed by the two currently selected similar sound insulation volumes as a randomly selected range.

[0056] The random difference is the difference between any two similar sound insulation volumes, and two similar sound insulation volumes of the random difference currently determined by the range are randomly selected as the range determined by the endpoints.

[0057] Step S401: define a randomly selected range whose random difference value is smaller than the appropriate range width as a valid range, and count the existing similar sound insulation amounts in the valid range to determine the effective sound insulation quantity.

[0058] The effective range is defined to distinguish the range that meets the width requirement, which is convenient for subsequent analysis; the effective sound insulation quantity is the total number of similar sound insulation quantities within the randomly selected range.

[0059] Step S402: Determine the effective sound insulation number with the largest value according to the sorting rule, and determine the effective range corresponding to the effective sound insulation number with the largest value as a reasonable sound insulation range.

[0060] The sorting rules can be used to determine the effective sound insulation quantity with the largest value, that is, the effective range defined at this time has the largest number of similar sound insulation quantities, that is, it can contain more reference values. At this time, the effective range is determined as a reasonable sound insulation range, making the determination of the reasonable sound insulation range more reasonable.

[0061] After the effective sound insulation quantity is determined, the door-based sound insulation performance testing method also includes: Step S500: Determine whether there are at least two effective ranges with the largest and identical effective sound insulation quantities.

[0062] The purpose of the judgment is to find out whether there is a unique effective range that meets the requirements, so as to determine the only reasonable sound insulation range.

[0063] Step S5001: If there are not at least two effective ranges with the same maximum effective sound insulation number, a reasonable sound insulation range is determined according to the effective range corresponding to the effective sound insulation number with the largest value.

[0064] When there are not at least two effective ranges with the largest and identical effective sound insulation numbers, it means that there is only one effective range that meets the requirements. In this case, it can be normally determined as a reasonable sound insulation range.

[0065] Step S5002: If there are at least two effective ranges with the largest and identical effective sound insulation amounts, similar sound insulation amounts within the effective range are defined as internal sound insulation amounts, and one internal sound insulation amount is randomly selected from all internal sound insulation amounts within the same effective range as a representative sound insulation amount, and the remaining internal sound insulation amounts are defined as comparative sound insulation amounts.

[0066] When there are at least two effective ranges with the largest and identical effective sound insulation amounts, it means that there are multiple effective ranges that meet the requirements and further analysis is needed. Define the internal sound insulation amount to distinguish different similar sound insulation amounts for subsequent analysis. At the same time, define the representative sound insulation amount and the comparative sound insulation amount to distinguish different internal sound insulation amounts for subsequent analysis.

[0067] Step S501: Calculate and determine a similar parameter value based on the representative sound insulation volume and all the comparison sound insulation volumes, and define the representative sound insulation volume whose similar parameter value is greater than the preset nearby parameter value as a qualified representative volume.

[0068] The similarity parameter value is a value that reflects the distance between the representative sound insulation volume and other comparative sound insulation volumes. The larger the value, the closer the representative sound insulation volume is to the other comparative sound insulation volumes. The calculation formula is: ,in is a similar parameter value, The fixed parameters used for calculation set by the staff are fixed values. represents the volume isolation, For the A relatively sound-isolating To compare the total number of sound insulation volumes; the nearest parameter value is the minimum similar parameter value set by the staff to determine that the representative sound insulation volume is not too remote and may have errors. By defining the qualified representative amount, different representative sound insulation volumes can be distinguished to facilitate subsequent analysis.

[0069] Step S502: Count the qualified representative quantity within the same effective range to determine the qualified number of monomers, and determine the qualified number of monomers with the largest value according to the sorting rules, and determine the effective range corresponding to the qualified number of monomers with the largest value as a reasonable sound insulation range.

[0070] The number of qualified monomers is the total number of qualified representative quantities determined, which can be determined by counting each qualified representative quantity one by one; the qualified number of monomers with the largest value can be determined through the sorting rules, and the possibility of error in the data within the valid range at this time is the smallest. At this time, the corresponding valid range is determined as a reasonable sound insulation range to facilitate analysis and processing of the current test results.

[0071] Reference Figure 2 Based on the same inventive concept, an embodiment of the present invention provides a door-based sound insulation performance detection system, comprising: An acquisition module, used to acquire detection influencing indicators of the sound insulation sample to be tested, wherein the detection influencing indicators include material filling rate, filling density and opening rate; A processing module, connected to the acquisition module and the judgment module, for storing and processing information; A judgment module, connected with the acquisition module and the processing module, for judging the information; The processing module establishes a historical interval with the current time point as the end point and a width of the preset historical length on the preset time axis, and enables the acquisition module to obtain the historical impact index and historical sound insulation volume of each sound insulation sample in the historical interval; The processing module compares the detection impact index and the historical impact index to determine the sample similarity, and defines the sound insulation samples whose sample similarity is greater than the preset required similarity as similar samples, and determines the reasonable sound insulation range according to the historical sound insulation volume of each similar sample; The processing module controls the operation of the preset detection device so that the acquisition module acquires the detected sound insulation volume, and the judgment module judges whether the detected sound insulation volume is within a reasonable sound insulation range; If the judgment module determines that the detected sound insulation volume is within a reasonable sound insulation range, the processing module outputs a normal detection signal; If the judgment module determines that the detected sound insulation volume is not within the reasonable sound insulation range, the processing module outputs an abnormal detection signal; A sample similarity calculation module is used to determine the sample similarity more accurately; A simulation data generation module is used to perform data simulation generation processing when the number of similar samples is small; Reasonable sound insulation range determination module, used to determine a more appropriate reasonable sound insulation range to analyze the current sound insulation performance data; Reasonable sound insulation range precision module, used to determine the reasonable sound insulation range more accurately; The effective range screening module is used to screen multiple effective ranges that meet the effective sound insulation requirements.

[0072] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device and unit described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0073] An embodiment of the present invention provides a computer-readable storage medium storing a computer program that can be loaded by a processor and executed based on a door sound insulation performance detection method.

[0074] Computer storage media include, for example, various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks or optical disks.

Claims

1. A method for detecting the sound insulation performance of a door, characterized in that: include: Obtaining the detection influencing indicators of the sound insulation sample to be tested, wherein the detection influencing indicators include material filling rate, filling density and opening rate; A historical interval with the current time point as the end point and a width of the preset historical duration is established on the preset time axis, and the historical impact index and historical sound insulation volume of each sound insulation sample are obtained in the historical interval; The sample similarity is determined by comparing the detection impact index and the historical impact index, and the sound insulation samples with sample similarity greater than the preset requirement similarity are defined as similar samples, and the reasonable sound insulation range is determined based on the historical sound insulation volume of each similar sample; Control the operation of the preset detection device to obtain the detection sound insulation volume, and determine whether the detection sound insulation volume is within a reasonable sound insulation range; If the detected sound insulation volume is within the reasonable sound insulation range, a normal detection signal is output; If the detected sound insulation volume is not within the reasonable sound insulation range, an abnormal detection signal is output.

2. The door-based sound insulation performance detection method according to claim 1, characterized in that: The steps of comparing the detection impact index and the historical impact index to determine the sample similarity include: definition: The material filling rate, filling density and opening rate in the detection influencing indicators are as follows: , as well as ; The material filling rate, filling density and opening rate in the historical impact indicators are , as well as ; The sample similarity is ; but ,in are the preset fixed parameters used for calculation, is the calculation weight parameter of the preset material filling rate, is the calculation weight parameter of the preset filling density, is the calculation weight parameter of the preset opening ratio, and .

3. The door-based sound insulation performance detection method according to claim 1, characterized in that: After similar samples are identified, the door-based sound insulation performance testing method also includes: Count similar samples to determine the number of similar samples; Determine whether the number of similar samples is greater than the preset benchmark requirement number; If the number of similar samples is greater than the benchmark requirement, the reasonable sound insulation range is determined based on the historical sound insulation volume of each similar sample; If the number of similar samples is not greater than the benchmark requirement, two parameters are randomly selected from the material filling rate, filling density and opening rate as fixed parameters, and the other parameter is used as a variable parameter; In the historical period, the sound insulation samples whose fixed value parameters are consistent with the current fixed value parameters are defined as reference samples, and the variable parameters of the reference samples are defined as variable reference parameters; Performing difference calculation based on the change reference parameter and the current change parameter to determine the change difference, and defining the historical sound insulation volume corresponding to the positive and smallest change difference and the negative and largest change difference as the reference sound insulation volume; A geometric calculation is performed based on two reference sound insulation volumes and the corresponding change differences to determine the simulated sound insulation volume, and similar samples are generated based on the simulated sound insulation volume and the detection influence index of the current sound insulation sample to be tested, and a reasonable sound insulation range is determined based on all similar samples.

4. The door-based sound insulation performance detection method according to claim 1, characterized in that: The steps to determine the reasonable sound insulation range based on the historical sound insulation volume of each similar sample include: The historical insulation levels of similar samples are defined as similar insulation levels; Determine similar sound insulation volumes with the largest and smallest values ​​according to a preset sorting rule, and perform a difference calculation based on similar sound insulation volumes with the largest and smallest values ​​to determine a difference sound insulation volume; Determine whether the difference sound insulation volume is greater than a preset appropriate range width; If the difference sound insulation volume is not greater than the width of the appropriate range, the maximum and minimum similar sound insulation volumes are used as endpoints to construct a reasonable sound insulation range; If the difference in sound isolation is greater than the appropriate range width, an over-range signal is output.

5. The door-based sound insulation performance detection method according to claim 4, characterized in that: At After the over-range signal is output, the door-based sound insulation performance detection method also includes: Randomly select two similar sound insulation volumes from all similar sound insulation volumes to perform difference calculation to determine a random difference amount, and define a range formed by the two currently selected similar sound insulation volumes as a random selection range; The randomly selected range where the random difference value is less than the appropriate range width is defined as the effective range, and the number of effective sound insulation is determined by counting the similar sound insulation values ​​existing in the effective range; The effective sound insulation number with the largest value is determined according to the sorting rules, and the effective range corresponding to the effective sound insulation number with the largest value is determined as the reasonable sound insulation range.

6. The door-based sound insulation performance detection method according to claim 5, characterized in that: After the effective sound insulation quantity is determined, the door-based sound insulation performance testing method also includes: Determine whether there are at least two effective ranges with the largest and equal effective sound insulation quantities; If there are not at least two effective ranges with the largest and identical effective sound insulation values, the reasonable sound insulation range is determined according to the effective range corresponding to the effective sound insulation value with the largest value; If there are at least two effective ranges with the largest and identical effective sound insulation amounts, the similar sound insulation amounts within the effective range are defined as the internal sound insulation amounts, and one internal sound insulation amount is randomly selected from all the internal sound insulation amounts within the same effective range as the representative sound insulation amount, and the remaining internal sound insulation amounts are defined as comparative sound insulation amounts; Calculate the representative sound insulation volume and all the comparative sound insulation volumes to determine the approximate parameter value, and define the representative sound insulation volume whose approximate parameter value is greater than the preset approximate parameter value as a qualified representative volume; Within the same effective range, count according to the qualified representative quantity to determine the qualified number of monomers, and determine the qualified number of monomers with the largest value according to the sorting rules, and determine the effective range corresponding to the qualified number of monomers with the largest value as the reasonable sound insulation range.

7. A door-based sound insulation performance detection system, characterized in that: include: An acquisition module, used to acquire detection influencing indicators of the sound insulation sample to be tested, wherein the detection influencing indicators include material filling rate, filling density and opening rate; A processing module, connected to the acquisition module and the judgment module, for storing and processing information; A judgment module, connected with the acquisition module and the processing module, for judging the information; The processing module establishes a historical interval with the current time point as the end point and a width of the preset historical length on the preset time axis, and enables the acquisition module to obtain the historical impact index and historical sound insulation volume of each sound insulation sample in the historical interval; The processing module compares the detection impact index and the historical impact index to determine the sample similarity, and defines the sound insulation samples whose sample similarity is greater than the preset required similarity as similar samples, and determines the reasonable sound insulation range according to the historical sound insulation volume of each similar sample; The processing module controls the operation of the preset detection device so that the acquisition module acquires the detected sound insulation volume, and the judgment module judges whether the detected sound insulation volume is within a reasonable sound insulation range; If the judgment module determines that the detected sound insulation volume is within a reasonable sound insulation range, the processing module outputs a normal detection signal; If the judgment module determines that the detected sound insulation volume is not within a reasonable sound insulation range, the processing module outputs an abnormal detection signal.

8. A computer-readable storage medium, characterized in that: The computer program is stored which can be loaded by a processor and execute the door-based sound insulation performance detection method as claimed in any one of claims 1 to 6.

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