Noise vibration detection device and detection method of wall breaking machine

Abstract

The invention provides a vibration noise detection device and method of a wall breaking machine, and mainly relates to the field of vibration noise detection. A vibration noise detection device of a wall breaking machine comprises a positioning mechanism arranged in a detection chamber and a plurality of noise detection mechanisms, coaxial placement and height adjustment of the wall breaking machine are achieved through clamping and positioning of the positioning mechanism, and the wall breaking machine can be located at the detection height on different workbenches. At least four noise detection mechanisms are arranged, each noise detection mechanism comprises a supporting arm, a supporting cavity is formed in the inner side of the front end of each supporting arm, a telescopic arm is arranged on each supporting cavity in a sliding mode, and a sound level meter and a distance sensor are arranged at the front end of each telescopic arm. The invention has the following beneficial effects: the invention creatively provides a structure and a method for respectively detecting noise by a plurality of workbenches, so that the noise intensity of the wall breaking machine in the daily use process can be more reasonably represented.

Description

Technical Field

[0001] This invention mainly relates to the field of vibration and noise detection, specifically a noise and vibration detection device and method for a blender. Background Technology

[0002] A high-speed blender is a kitchen appliance that integrates multiple functions. In daily life, a high-speed blender can be used to make soy milk, fruit and vegetable juice, rice paste, etc., and can also be used to grind powder and make cold drinks such as smoothies, greatly enriching daily diet and saving time in food preparation.

[0003] Because high-speed blenders operate at high speeds, they generate significant vibrations from the machine itself, the motor, and the high-speed rotation of the blades. These vibrations, combined with the sound of crushing food, result in high noise levels. This noise level causes considerable consumer hesitation when choosing a high-speed blender, leading to numerous returns. Our research revealed that consumers often misunderstand the issue due to different usage scenarios and the types of food being processed. The noise level of the same blender can vary considerably depending on the work surface, making it difficult for consumers to apply official noise data to their specific needs. This leads to misunderstandings during the selection process and subsequent returns. Currently, the sound pressure level (SPL) ratings used to indicate noise intensity for blenders are mostly the no-load SPL. The no-load SPL is lower than that used when making harder foods like soy milk, but higher than that used when making softer foods like fruit and vegetable juices. Furthermore, this SPL is measured on a standard countertop, which is a 0.1m thick plywood template. This measurement has a significant error compared to the actual SPL value in daily use, and therefore cannot accurately represent the noise intensity of the blender in everyday use, which can mislead consumers. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a noise and vibration detection device and method for a blender. It creatively proposes a structure and method for detecting noise on multiple workbenches, which can more reasonably characterize the noise intensity of the blender during daily use.

[0005] To achieve the above objectives, the present invention employs the following technical solution:

[0006] A vibration and noise detection device for a high-speed blender includes a positioning mechanism and several noise detection mechanisms installed in the detection chamber. The positioning mechanism is used to position the worktable for testing the high-speed blender. Through the clamping and positioning of the positioning mechanism, the high-speed blender can be coaxially placed and its height adjusted, so that the high-speed blender can be at the detection height on different worktables, which facilitates standardized testing.

[0007] The positioning mechanism is used to position testing platforms of different materials. The positioning mechanism includes a lifting platform with several lifting cylinders at its bottom. Each lifting cylinder contains a lifting cylinder. Side clamping mechanisms are provided on both sides of the lifting platform, and end clamping mechanisms are provided at both ends. A pair of side sliding holes are provided on both sides of the top surface of the lifting platform, and a pair of end sliding holes are provided at both ends. The side clamping mechanism includes a longitudinal lead screw and a longitudinal slide rail located on the bottom surface of the lifting platform. The threads at both ends of the longitudinal lead screw rotate in opposite directions. The end clamping mechanism includes a longitudinal drive motor and a side clamping seat that slides on the longitudinal slide rail. The side clamping seat is connected to a fixed side clamping plate via a connecting rod passing through a side sliding hole. The end clamping mechanism includes a transverse lead screw and a transverse slide rail disposed on the bottom surface of the lifting platform. The transverse lead screw and transverse slide rail are arranged alternately with the longitudinal lead screw and longitudinal slide rail. The threads at both ends of the transverse lead screw have opposite directions. A transverse drive motor is disposed at one end of the transverse lead screw. The end clamping seat is slidably disposed on the transverse slide rail. The end clamping seat is connected to a fixed end clamping plate via a connecting rod passing through an end sliding hole.

[0008] By setting up side clamping mechanisms and end clamping mechanisms respectively, coaxial positioning and relative clamping fixation of the worktable can be achieved, ensuring the stability of the worktable and making the test data more accurate.

[0009] At least four noise detection mechanisms are provided, and each of the four noise detection mechanisms includes a support arm. The front end of the support arm has a support chamber. A telescopic arm is slidably arranged in the support chamber. An adjusting screw is rotatably arranged in the support arm. An adjusting servo motor is arranged at the rear end of the adjusting screw. A screw nut that cooperates with the adjusting screw is arranged on the adjusting screw. A sound level meter and a distance sensor are arranged at the front end of the telescopic arm.

[0010] The noise detection mechanism is used to detect noise from a blender that has been started. The front end of the noise detection mechanism has a length adjustment device, which allows adjustment of the distance between the mechanism and the blender to ensure a consistent detection distance for each test.

[0011] Preferably, the multiple noise detection mechanisms are distributed in the same plane, and the extension lines of the multiple support arms converge at a common point. The location of the common point of the multiple support arms is the placement position of the blender. Through positioning and height adjustment by the positioning mechanism, it is ensured that the blender can always be placed at the location of the common point.

[0012] Preferably, the noise detection mechanism has seven units, and the sound level meters of the seven noise detection mechanisms are respectively located directly above, 45 degrees to the left and above, 45 degrees to the right and above, to the left and to the right, 30 degrees to the left and below, and 30 degrees to the right and below the left and below, respectively, at the common point of the extension lines of the multiple support arms.

[0013] Preferably, the sound level meter 3 is located 1 meter away from the blender.

[0014] Preferably, the side clamping plates and the end clamping plates are staggered so that they do not interfere with each other when positioning the worktable.

[0015] Preferably, the lifting platform is used to fix workbenches of different materials and thicknesses, and the testing blender is placed in the center of the workbench.

[0016] A method for detecting vibration and noise in a high-speed blender, using the aforementioned vibration and noise detection device to detect the vibration and noise of the blender, with the specific steps as follows:

[0017] S1: Mark the center of the workbench and place the workbench on the top surface of the lifting platform. Clamp and position the workbench using the side clamping mechanism and the end clamping mechanism, and use the lifting platform to raise the workbench surface to the detection height, then place the blender for testing at the center position marked on the workbench.

[0018] S2: Adjust the distance between the sound level meter and the blender so that the straight-line distance between the sound level meter and the blender is 1m;

[0019] S3: First, start the sound level meter for 30 seconds and record the average ambient noise level (L) when the blender is not running. 环境 Then, the blender was started for 10-20 seconds under no-load conditions, and the average value of the sound level meter was recorded as L. k1 L k2 ···L kN The blender was started and processed under different loads: soybeans, rice, apples, carrots, ice, and kudzu root. The average values ​​of each sound level meter under each load were recorded as follows:

[0020] Soybeans: L d1 L d2 ···L dN ;

[0021] Rice: L m1 L m2 ···L mN ;

[0022] Apple: L p1 L p2 ···L pN ;

[0023] Carrot: L h1 L h2 ···L hN ;

[0024] Ice cubes: L b1 L b2 ···LbN ;

[0025] Kudzu root: L g1 L g2 ···L gN ;

[0026] S4: Calculate the average value of the sound level readings obtained from the sound level meters to obtain the average value under no-load conditions. Average value under soybean load Average value under load rice Average value under load Apple Average value under load of carrots Average value under load of ice Average value under load of kudzu

[0027] S5: Apply background noise correction to the average sound level under the above no-load and load conditions:

[0028] When the average sound level is equal to the average ambient noise level L 环境 When the difference ΔL is less than 15dB, the average measured sound level is corrected using the following formula:

[0029]

[0030] in, The average sound level is obtained under no-load or various load conditions, with a correction value ΔL. 修正 Calculated using the following formula:

[0031] ΔL 修正 = -10 × log 10 (1-10 -0.1×ΔL )

[0032] The corrected sound level value under no-load conditions is obtained from the above formula. The corrected sound level value under soybean load is The corrected sound level value under load of rice is The corrected sound level value under Apple load is The corrected sound level value under carrot load is Corrected sound level value under ice load The corrected sound level value under soybean load is

[0033] When the average sound level is equal to the average ambient noise level L 环境 When the difference ΔL is not less than 15dB, no correction is required.

[0034] S6: Calculate the weighted average sound level under load conditions. The specific formula is as follows:

[0035]

[0036] Among them, w d The weight corresponding to the use of a high-speed blender for processing beans, w m The weight corresponding to the processing of grains using a high-speed blender, w p The weights corresponding to the use of a high-speed blender for processing fruits, w h The weight corresponding to the use of a high-speed blender for processing vegetables, w b The weight corresponding to the use of a high-speed blender for processing ice cubes and cold drinks, w g Weights corresponding to the use of cell wall breakers for processing traditional Chinese medicine products;

[0037] S7: Switch between workbenches of different materials and board thicknesses to obtain the vibration and noise values ​​of the blender on workbenches of different materials and board thicknesses.

[0038] The workbenches are selected based on common kitchen workbenches and dining tables on the market. After testing, the vibration and noise levels of the blender under various workbench materials and board thicknesses are compiled into a table for consumers' reference.

[0039] Preferably, in S6, w d w m w p w h w b and w g The corresponding weights are determined by the frequency with which the blender of that type processes that product category during use.

[0040] Preferably, in step S7, the blender is started and processed under the conditions of loading soybeans, rice, apples, carrots, ice cubes and kudzu root respectively. The processing time for each type is determined according to the actual situation and the time is different.

[0041] Compared with the prior art, the beneficial effects of the present invention are:

[0042] This invention provides a structure capable of limiting and positioning a workbench, adaptable to various common dining tables and kitchen workbenches on the market. By positioning the workbench, workbenches of different sizes can be brought to the same height, allowing blenders placed on them to be tested for vibration and noise at the same location. Simultaneously, this invention provides a noise monitoring mechanism that works in conjunction with the positioning mechanism. The distance between the noise monitoring mechanism and the blender is adjustable, thus accommodating blenders of different specifications. This ensures that the distance between each sound level meter used for noise detection and the blender remains at a standard distance, meeting the noise detection needs of different blenders and resulting in more accurate test results.

[0043] This invention provides a method for detecting the noise of a high-speed blender under different usage environments using a mechanism that rapidly adapts to different work surfaces. The noise detection results are more accurate, allowing consumers to refer to the noise intensity in their specific usage environment based on their needs, making the noise data more valuable. Furthermore, this method not only provides noise data under no-load conditions but also offers a method for calculating noise under load conditions based on the frequency of actual use of similar blender products, thus more closely reflecting real-world usage and providing consumers with more intuitive data. Attached Figure Description

[0044] Appendix Figure 1 This is a reference diagram showing the usage state of the present invention;

[0045] Appendix Figure 2 This is a schematic diagram of the first structure of the positioning mechanism of the present invention;

[0046] Appendix Figure 3 This is a schematic diagram of the second structure of the positioning mechanism of the present invention;

[0047] Appendix Figure 4 This is a schematic diagram of the noise monitoring mechanism of the present invention.

[0048] The following are the labels in the attached diagram: 1. Positioning mechanism; 11. Lifting platform; 111. Lifting cylinder; 112. Lifting cylinder; 113. Side sliding hole; 114. End sliding hole; 12. Side clamping mechanism; 121. Longitudinal lead screw; 122. Longitudinal slide rail; 123. Longitudinal drive motor; 124. Side clamping seat; 125. Side clamping plate; 13. End clamping mechanism; 131. Transverse lead screw; 132. Transverse slide rail; 133. Transverse drive motor; 134. End clamping seat; 135. End clamping plate; 2. Noise detection mechanism; 21. Support arm; 22. Support chamber; 23. Lead screw nut; 24. Adjusting lead screw; 25. Adjusting servo motor; 26. Telescopic arm; 3. Sound level meter; 4. Gantry frame. Detailed Implementation

[0049] The present invention will be further described in conjunction with the accompanying drawings and specific embodiments. It should be understood that these embodiments are for illustrative purposes only and are not intended to limit the scope of the invention. Furthermore, it should be understood that after reading the teachings of this invention, those skilled in the art can make various alterations or modifications to the invention, and these equivalent forms also fall within the scope defined in this application.

[0050] As shown in the figure, the vibration and noise detection device for a high-speed blender according to the present invention includes a positioning mechanism 1 and several noise detection mechanisms 2 disposed in the detection chamber. The positioning mechanism 1 is used to position the detection platform of different materials. The selection of the worktable is determined according to the style, material, and thickness of commonly used kitchen worktables, dining tables, etc. By creating different detection environments to meet the application scenarios of the high-speed blender, the noise monitoring of the high-speed blender is made more comprehensive, thereby obtaining richer sound pressure level data during the use of the high-speed blender, providing consumers with more accurate data references for selecting high-speed blenders.

[0051] The outer wall of the testing room in this invention is soundproofed, with the background noise level required to be below 35dB. During testing, after the staff positions the positioning mechanism 1 and places the blender in place before leaving the testing room, the operator outside remotely starts the blender to test the noise level.

[0052] Noise detection units 2 are distributed around the blender being tested. The distance between the noise detection units 2 and the blender is adjustable, so that a constant distance can be maintained. By averaging the detection data from multiple noise detection units 2, the sound pressure level data of the blender under the current operating conditions can be more accurately characterized.

[0053] Specifically, the positioning mechanism 1 includes a lifting platform 11, the top surface of which serves as the placement position for different workbenches. Several lifting cylinders 111 are installed at the bottom of the lifting platform 11, each containing a lifting cylinder 112. The lifting cylinders 111 guide the lifting motion of the lifting platform 11. The lifting cylinders 112 are either hydraulic cylinders or electric actuators. Multiple lifting cylinders 112 operate synchronously to complete the positioning action of the lifting platform 11.

[0054] In this embodiment, a sinkhole is located in the middle of the testing chamber. The lifting cylinder 112 and the lifting sleeve 111 are installed in the sinkhole. When the lifting cylinder 112 is in the retracted state, the lifting platform 11 is flush with the ground. The height of the lifting platform 11 can be increased by the lifting action of the lifting cylinder 112, so that the worktable on the lifting platform 11 is always at a height of 1.2m.

[0055] The center of the top surface of the lifting platform 11 is marked with a circle and a positioning circle. The diameter of the positioning circle is adapted to the bottom surface of the blender, which can be used to position the blender. The position of the center is determined by the support legs of the worktable; the center of the circle is the point where the center lines of the support legs meet.

[0056] The lifting platform 11 is equipped with side clamping mechanisms 12 on both sides and end clamping mechanisms 13 at both ends. The side clamping mechanisms 12 clamp and position the support legs of the worktable on both sides, and the end clamping mechanisms 13 clamp and position the support legs of the worktable at both ends, so that the centers of different worktables are always in the same axial position.

[0057] A pair of side sliding holes 113 are provided on both sides of the top surface of the lifting platform 11, and a pair of end sliding holes 114 are provided at both ends of the top surface of the lifting platform 11. The side clamping mechanism 12 includes a longitudinal lead screw 121 and a pair of longitudinal slide rails 122 provided on the bottom surface of the lifting platform 11. The longitudinal slide rails 122 are linear guide rails, and the longitudinal lead screw 121 is provided between the two longitudinal slide rails 122. The threads at both ends of the longitudinal lead screw 121 turn in opposite directions, and a longitudinal drive motor 123 is provided at one end of the longitudinal lead screw 121. Side clamping seats 124 are slidably provided at both ends of the longitudinal slide rails 122, and side clamping plates 125 are connected and fixed on the side clamping seats 124 through connecting rods passing through the side sliding holes 113. Driven by the longitudinal drive motor 123, the side clamping seats 124 on both sides can be moved in opposite directions, thereby clamping the two sides of the worktable through the two side clamping plates 125.

[0058] The end clamping mechanism 13 includes a transverse lead screw 131 and a pair of transverse slide rails 132 disposed on the bottom surface of the lifting platform 11. The transverse slide rails 132 are linear guide rails and are positioned between the two transverse slide rails 132 via the transverse lead screw 131. The transverse lead screw 131 and transverse slide rails 132 are staggered with the longitudinal lead screw 121 and longitudinal slide rails 122. The transverse lead screw 131 and transverse slide rails 132 are positioned below the longitudinal lead screw 121 and longitudinal slide rails 122, and their operation does not interfere with each other. The threads at both ends of the transverse lead screw 131 have opposite directions. A transverse drive motor 133 is disposed at one end of the transverse lead screw 131. End clamping seats 134 are slidably disposed at both ends of the transverse slide rails 132. The end clamping seats 134 are connected to and fixed end clamping plates 135 via connecting rods passing through end sliding holes 114. Driven by the transverse drive motor 133, the end clamping seats 134 on both sides can move in opposite directions, thereby clamping the two ends of the worktable through the two end clamping plates 135.

[0059] More specifically, the width of the side clamping plate 125 is slightly larger than the maximum width between the two support legs in the width direction of the worktable, and the width of the end clamping plate 135 is slightly larger than the maximum width between the two support legs in the length direction of the worktable. The side clamping plate 125 and the end clamping plate 135 are staggered, and the height of the side clamping plate 125 is higher than the height of the end clamping plate 135, so that there will be no interference between the end clamping plate 135 and the side clamping plate 125 during the positioning and machining operation of the worktable.

[0060] At least four noise detection mechanisms 2 are provided, and the four noise detection mechanisms 2 are distributed in the same plane. The extension lines of multiple support arms 21 have a common point. After the blender is positioned, the common point of the extension lines of multiple support arms 21 is located on the axis inside the blender.

[0061] A gantry frame 4 is installed horizontally above the lifting platform 11, and the gantry frame 4 is securely installed to the floor of the testing chamber. The length or width of the gantry frame 4 is parallel to that of the lifting platform 11. Each of the four noise detection mechanisms 2 includes a support arm 21, one end of which is fixed to the gantry frame 4. The front of the support arm 21 is a C-shaped structure with an open bottom, and the inner side of the front end of the support arm 21 is a support chamber 22. A telescopic arm 26 is slidably installed inside the support chamber 22, and the telescopic arm 26 is in sliding contact with the support chamber 22 inside the support arm 21. An adjusting screw 24 is rotatably installed inside the support arm 21, and an adjusting servo motor 25 is installed at the rear end of the adjusting screw 24. A screw nut 23 that cooperates with the adjusting screw 24 is installed on the adjusting screw 24, and the end of the telescopic arm 26 is fixedly connected to the screw nut 23. When the adjusting servo motor 25 drives the adjusting screw 24 to rotate, the telescopic arm 26 is driven to extend and retract relative to the support arm 21 under the cooperation of the adjusting screw 24 and the screw nut 23. The front end of the telescopic arm 26 is equipped with a sound level meter 3 and a distance sensor. The distance sensor is an infrared sensor. When the distance sensor detects that the distance between it and the blender is not the standard distance, the distance between the sound level meter 3 and the blender is adjusted to the standard distance by extending and retracting the telescopic arm 26, so as to ensure the accuracy of noise detection of the blender.

[0062] Specifically, the noise detection mechanism 2 comprises seven units, with the sound level meters 3 of each unit located directly above the common point of the extended lines of the multiple support arms 21, at 45 degrees to the left and above, 45 degrees to the right and above, to the left and right sides, at 30 degrees to the left and below, and at 30 degrees to the right and below. According to the national standard GB / T4214.1-2017, when testing the blender, the sound level meters 3 are 1 meter away from the blender, and the seven sound level meters 3 are distributed within the same plane to detect the noise data of the blender at different heights and angles.

[0063] A method for detecting vibration and noise in a high-speed blender, using the aforementioned vibration and noise detection device to detect the vibration and noise of the blender, with the specific steps as follows:

[0064] S1: The center of the workbench is marked by physical means. Specifically, the center point of the workbench surface is determined by connecting the four support legs. A positioning ring, slightly larger than the diameter of the blender's base, is drawn on the top surface of the workbench based on the dimensions of the blender's base. This ring is used for placing the blender during testing. The workbench is then placed on top of the lifting platform 11. The side clamping mechanism 12 and end clamping mechanism 13 clamp and position the workbench. The lifting platform 11 is then used to raise the workbench surface to the testing height, placing the blender at the center of the marked position on the workbench.

[0065] S2: The distance sensor detects the distance between the sound level meter 3 and the blender, and the controller drives the telescopic arm 26 to extend and retract, thereby compensating for the distance between the sound level meter 3 and the blender. Finally, the distance between the sound level meter 3 and the blender is determined so that the straight-line distance between the sound level meter 3 and the blender is 1m.

[0066] S3: First, start the sound level meter for 30 seconds and record the average ambient noise level (L) when the blender is not running. 环境 Then, the blender was started for 10-20 seconds under no-load conditions, and the average value of the sound level meter 3 was recorded as L. k1 L k2 ···L kN The blender was started and processed under different loads: soybeans, rice, apples, carrots, ice, and kudzu root. The average values ​​of each sound level meter 3 under each load were recorded as follows:

[0067] Soybeans: L d1 L d2 ···L dN ;

[0068] Rice: L m1 L m2 ···L mN ;

[0069] Apple: L p1 L p2 ···L pN ;

[0070] Carrot: L h1 L h2 ···L hN ;

[0071] Ice cubes: L b1 L b2 ···L bN ;

[0072] Kudzu root: L g1 L g2 ···L gN ;

[0073] Soybeans represent processed soy products. Use a 1:8 ratio of soybeans to water, adding water to the standard water level. Soybeans should be approximately 4-5mm in diameter and do not need to be soaked beforehand. Rice represents processed grains. Use a 1:10 ratio of rice to water, adding water to the standard water level. Apples represent processed fruits. Select 300-600g of apples, cut into 2cm cubes, and add 150-300ml of water. Carrots represent processed vegetables. Select 300-600g of carrots, cut into 2cm cubes, and add 150-300ml of water. Ice represents processed cold drinks. Select 300-600g of 2cm cubes of ice and blend into a smoothie without adding water. Kudzu root represents processed traditional Chinese medicine. Select 150-300g of 3mm thick kudzu root slices, wash them, and grind them into kudzu root powder using a high-speed blender.

[0074] The processing time for each product category is determined based on the actual situation and varies. Since the processing time for soy milk and rice paste products is relatively long, and they are only used for simmering afterward, the sound level meter 3 only records the noise data for the first 3 minutes, representing the soybean load of soy products and the rice load of grains, and calculates the average value.

[0075] It should be noted that the average values ​​of each sound level meter 3 under both no-load and load conditions mentioned above are automatically calculated by the controller:

[0076]

[0077] Among them, L 平均 The average noise level of the blender detected by each sound level meter 3 under no-load or load conditions; L i Let N be the data value of each sound level meter during the detection process, and N be the total number of data points during the entire detection time.

[0078] S4: Calculate the average value of the values ​​obtained from the multiple sound level meters 3 to obtain the average value under no-load conditions. Average value under soybean load Average value under load rice Average value under load Apple Average value under load of carrots Average value under load of ice Average value under load of kudzu

[0079] S5: Apply background noise correction to the average sound level under the above no-load and load conditions:

[0080] When the average sound level is equal to the average ambient noise level L 环境 When the difference ΔL is less than 15dB, the average measured sound level is corrected using the following formula:

[0081]

[0082] in, The average sound level is obtained under no-load or various load conditions, with a correction value ΔL. 修正 Calculated using the following formula:

[0083] ΔL 修正 = -10 × log 10 (1-10 -0.1×ΔL )

[0084] The corrected sound level value under no-load conditions is obtained from the above formula. The corrected sound level value under soybean load is The corrected sound level value under load of rice is The corrected sound level value under Apple load is The corrected sound level value under carrot load is Corrected sound level value under ice load The corrected sound level value under soybean load is

[0085] When the average sound level is equal to the average ambient noise level L 环境 When the difference ΔL is not less than 15dB, no correction is required.

[0086] S6: Calculate the weighted average sound level under load conditions. The specific formula is as follows:

[0087]

[0088] Among them, w d The weight corresponding to the use of a high-speed blender for processing beans, w m The weight corresponding to the processing of grains using a high-speed blender, w p The weights corresponding to the use of a high-speed blender for processing fruits, w h The weight corresponding to the use of a high-speed blender for processing vegetables, w b The weight corresponding to the use of a high-speed blender for processing ice cubes and cold drinks, w g Weights corresponding to the use of cell wall breakers for processing traditional Chinese medicine products; w d w m w p w h w b and w g The corresponding weights are determined by the frequency with which the blender products of this category process products during use. We obtained these weights through a survey of consumers who use blenders of this category.

[0089] S7: Switch between workbenches of different materials and thicknesses to obtain vibration and noise values ​​of the blender on workbenches of different materials and thicknesses. Finally, these values ​​are compiled into a table according to the different materials and thicknesses of the workbenches, allowing consumers to select according to their actual usage and providing them with more accurate noise data references.

[0090] Example 1:

[0091] This example demonstrates noise testing for a 900W, 1.2L all-in-one blender manufactured by our company.

[0092] In this embodiment, the sound level meters are arranged in the aforementioned distribution manner, i.e., the noise monitoring mechanism 2 has seven sound level meters 3. The seven sound level meters 3 of the noise detection mechanism 2 are respectively: sound level meter D directly above the common point of the extension line of the support arm 21; sound level meter C at a 45-degree angle to the left and above; sound level meter E at a 45-degree angle to the right and above; sound level meter B on the left and to the right; sound level meter F on the right and to the left; sound level meter A at a 30-degree angle to the left and below; and sound level meter G at a 30-degree angle to the right and below. When testing the blender, the sound level meters 3 are 1 meter away from the blender, and the seven sound level meters 3 are distributed in the same plane to detect the noise data of the blender at different heights and angles.

[0093] In this example, workbenches are selected from wood, marble, tempered glass, and stainless steel, with thicknesses ranging from 5mm to 40mm. The data for this example includes 5mm, 10mm, 20mm, and 40mm thick wooden workbenches, a 20mm thick marble workbench, a 5mm thick tempered glass workbench, and a 5mm thick stainless steel workbench.

[0094] After completing the positioning and placement of the blender according to step S1, adjust the distance between each sound level meter 3 and the blender according to step S2 so that the straight-line distance between the sound level meter 3 and the blender is 1m.

[0095] S3: First, start the sound level meter for 30 seconds and record the average ambient noise level (L) when the blender is not running. 环境 Then, the blender was started for 20 seconds under no-load conditions, and the average value of 7 sound level meters was recorded. The blender was started and processed under load conditions of soybeans, rice, apples, carrots, ice cubes and kudzu root respectively.

[0096] Soybeans represent processed soy products. Use a 1:8 ratio of soybeans to water, adding water to the standard water level. Soybeans should be approximately 4-5mm in diameter and do not need to be soaked beforehand. Rice represents processed grains. Use a 1:10 ratio of rice to water, adding water to the standard water level. Apples represent processed fruits. Select 600g of apples, cut into 2cm cubes, and add 300ml of water. Carrots represent processed vegetables. Select 600g of carrots, cut into 2cm cubes, and add 300ml of water. Ice cubes represent processed cold drinks. Blend 600g of 2cm cubes of ice into a smoothie without adding water. Kudzu root represents processed traditional Chinese medicine. Select 300g of 3mm thick kudzu root slices, wash them, and grind them into kudzu root powder using a high-speed blender. When making soy milk and rice paste, the sound level meter 3 only records the noise data for the first 3 minutes, representing the soybean load (soybean product) and the rice load (grain product), and calculates the average value.

[0097] S4: Calculate the average value of the values ​​obtained from the seven sound level meters 3 above to obtain the average value under no-load conditions. Average value under soybean load Average value under load rice Average value under load Apple Average value under load of carrots Average value under load of ice Average value under load of kudzu

[0098] Record the average value of each sound level meter 3 under each load. The specific values ​​are shown in the table below:

[0099] Table 1: Average Sound Pressure Level Records of the Blender under Different Working Environments in Step S4 of Example 1

[0100]

[0101] S5: The average background noise value detected in step S3 is L 环境 The average sound level is 29.5 dB. Since the average sound level is greater than the background noise, no background noise correction is needed.

[0102] S6: Calculate the weighted average sound level under load conditions. The specific formula is as follows:

[0103]

[0104] Among them, w d The weight corresponding to the use of a high-speed blender for processing beans, w m The weight corresponding to the processing of grains using a high-speed blender, w pThe weights corresponding to the use of a high-speed blender for processing fruits, w h The weight corresponding to the use of a high-speed blender for processing vegetables, w b The weight corresponding to the use of a high-speed blender for processing ice cubes and cold drinks, w g Weights corresponding to the use of cell wall breakers for processing traditional Chinese medicine products; w d w m w p w h w b and w g The corresponding weights are determined by the frequency with which the blender in this category processes products of that category during use. These weights were obtained through a consumer survey of blenders in this category. Data from a survey of 1.1L-1.5L blenders shows that these blenders are used for processing beans 42.4% of the time, grains 21.3%, fruits 16.8%, vegetables 11.5%, ice and cold drinks 4.1%, and traditional Chinese medicine 1.3%. Other applications, such as minced meat processing, are not considered. Blenders are not recommended for use with fresh meat and ready-to-eat products.

[0105] The weighted average sound pressure level under load, calculated using the above formula, is:

[0106] Table 2: Weighted average sound pressure level records for each workbench environment in Example 1

[0107]

[0108] The above data can more accurately reflect the sound pressure level of this blender under different working environments, thus providing consumers with more accurate noise data.

[0109] Example 2:

[0110] This example demonstrates noise testing for an 800W, 1.2L all-in-one blender manufactured by our company, featuring a thickened soundproof cover.

[0111] The arrangement of the sound level meter in this embodiment is the same as in Example 1.

[0112] In this example, workbenches are selected from wood, marble, tempered glass, and stainless steel, with thicknesses ranging from 5mm to 40mm. The data for this example includes 5mm, 10mm, 20mm, and 40mm thick wooden workbenches, a 20mm thick marble workbench, a 5mm thick tempered glass workbench, and a 5mm thick stainless steel workbench.

[0113] After completing the positioning and placement of the blender according to step S1, adjust the distance between each sound level meter 3 and the blender according to step S2 so that the straight-line distance between the sound level meter 3 and the blender is 1m.

[0114] S3: First, start the sound level meter for 30 seconds and record the average ambient noise level (L) when the blender is not running. 环境 Then, the blender was started for 20 seconds under no-load conditions, and the average value of 7 sound level meters was recorded. The blender was started and processed under load conditions of soybeans, rice, apples, carrots, ice cubes and kudzu root respectively.

[0115] Soybeans represent processed soy products. Use a 1:8 ratio of soybeans to water, adding water to the standard water level. Soybeans should be approximately 4-5mm in diameter and do not need to be soaked beforehand. Rice represents processed grains. Use a 1:10 ratio of rice to water, adding water to the standard water level. Apples represent processed fruits. Select 600g of apples, cut into 2cm cubes, and add 300ml of water. Carrots represent processed vegetables. Select 600g of carrots, cut into 2cm cubes, and add 300ml of water. Ice cubes represent processed cold drinks. Blend 600g of 2cm cubes of ice into a smoothie without adding water. Kudzu root represents processed traditional Chinese medicine. Select 300g of 3mm thick kudzu root slices, wash them, and grind them into kudzu root powder using a high-speed blender. When making soy milk and rice paste, the sound level meter 3 only records the noise data for the first 3 minutes, representing the soybean load (soybean product) and the rice load (grain product), and calculates the average value.

[0116] S4: Calculate the average value of the values ​​obtained from the seven sound level meters 3 above to obtain the average value under no-load conditions. Average value under soybean load Average value under load rice Average value under load Apple Average value under load of carrots Average value under load of ice Average value under load of kudzu

[0117] Record the average value of each sound level meter 3 under each load. The specific values ​​are shown in the table below:

[0118] Table 3: Average Sound Pressure Level Records of the Blender Detected Under Different Working Environments in Step S4 of Example 2

[0119]

[0120]

[0121] S5: The average background noise value detected in step S3 is L 环境 The value is 29.5 dB. The average measured sound level is corrected using the following formula:

[0122]

[0123] in, The average sound level is obtained under no-load or various load conditions, with a correction value ΔL. 修正 Calculated using the following formula:

[0124] ΔL 修正 = -10 × log 10 (1-10 -0.1×ΔL )

[0125] The corrected sound level value under no-load conditions is obtained from the above formula. The corrected sound level value under soybean load is The corrected sound level value under load of rice is The corrected sound level value under Apple load is The corrected sound level value under carrot load is Corrected sound level value under ice load The corrected sound level value under soybean load is

[0126] The average sound level and the average ambient noise level L in the table above 环境 If the difference ΔL is not less than 15dB, no correction is required.

[0127] The corrected data is as follows:

[0128] Table 4: Record of average sound pressure level correction values ​​of the blender under different workbench usage environments in step S5 of Example 2 (Note: Data marked "uncorrected" does not require correction).

[0129]

[0130] S6: Calculate the weighted average sound level under load conditions. The specific formula is as follows:

[0131]

[0132] Among them, w d The weight corresponding to the use of a high-speed blender for processing beans, w m The weight corresponding to the processing of grains using a high-speed blender, w p The weights corresponding to the use of a high-speed blender for processing fruits, w h The weight corresponding to the use of a high-speed blender for processing vegetables, w bThe weight corresponding to the use of a high-speed blender for processing ice cubes and cold drinks, w g Weights corresponding to the use of cell wall breakers for processing traditional Chinese medicine products; w d w m w p w h w b and w g The corresponding weights are determined by the frequency with which the blender in this category processes products of that category during use. These weights were obtained through a survey of consumers using blenders of this category. In Example 2, the blender belongs to the same product category as the one in Example 1, with the only functional innovation being noise reduction. Therefore, the weights for each type of food in this blender are the same as in Example 1: 42.4% for processing beans, 21.3% for grains, 16.8% for fruits, 11.5% for vegetables, 4.1% for ice and cold drinks, and 1.3% for traditional Chinese medicine. Other applications, such as minced meat processing, are not considered; blenders are not recommended for use with fresh meat and ready-to-eat products.

[0133] The weighted average sound pressure level under load, calculated using the above formula, is:

[0134] Table 5: Weighted average sound pressure level records for each workbench environment in Example 2

[0135]

[0136] This blender features a thickened soundproof cover and a noise-absorbing structure at the bottom of the main unit, resulting in a low sound pressure level during operation. The above data more intuitively demonstrates the sound pressure level of this blender on different workbenches, providing consumers with more accurate data references.

[0137] Example 3:

[0138] This example demonstrates noise testing for a 400W, 0.66L portable blender / soy milk maker manufactured by our company.

[0139] The arrangement of the sound level meter in this embodiment is the same as in Example 1.

[0140] In this example, consistent with Example 1, workbenches are selected from wood, marble, tempered glass, and stainless steel, with thicknesses ranging from 5mm to 40mm. This example uses data for 5mm, 10mm, 20mm, and 40mm thick wooden workbenches, a 20mm thick marble workbench, a 5mm thick tempered glass workbench, and a 5mm thick stainless steel workbench.

[0141] After completing the positioning and placement of the blender according to step S1, adjust the distance between each sound level meter 3 and the blender according to step S2 so that the straight-line distance between the sound level meter 3 and the blender is 1m.

[0142] S3: First, start the sound level meter for 30 seconds and record the average ambient noise level (L) when the blender is not running. 环境 Then, the blender was started for 20 seconds under no-load conditions, and the average value of 7 sound level meters was recorded. The blender was started and processed under load conditions of soybeans, rice, apples, carrots, ice cubes and kudzu root respectively.

[0143] Soybeans represent processed soy products. Use a 1:8 ratio of soybeans to water, adding water to the standard water level. Soybeans should be approximately 4-5mm in diameter and do not need to be soaked beforehand. Rice represents processed grains. Use a 1:10 ratio of rice to water, adding water to the standard water level. Apples represent processed fruits. Select 300g of apples, cut into 2cm cubes, and add 150ml of water. Carrots represent processed vegetables. Select 300g of carrots, cut into 2cm cubes, and add 1500ml of water. Ice represents processed cold drinks. Blend 300g of 2cm cubes of ice into a smoothie without adding water. Kudzu root represents processed traditional Chinese medicine. Select 150g of 3mm thick kudzu root slices, wash them, and grind them into kudzu root powder using a high-speed blender. When making soy milk and rice paste, the sound level meter 3 only records the noise data for the first 3 minutes, representing the soybean load (soybean product) and the rice load (grain product), and calculates the average value.

[0144] S4: Calculate the average value of the values ​​obtained from the seven sound level meters 3 above to obtain the average value under no-load conditions. Average value under soybean load Average value under load rice Average value under load Apple Average value under load of carrots Average value under load of ice Average value under load of kudzu

[0145] Record the average value of each sound level meter 3 under each load. The specific values ​​are shown in the table below:

[0146] Table 6: Average Sound Pressure Level Records of the Blender Detected Under Different Working Environments in Step S4 of Example 3

[0147]

[0148] S5: The average background noise value detected in step S3 is L 环境The value is 29.5 dB. The average measured sound level is corrected using the following formula:

[0149]

[0150] in, The average sound level is obtained under no-load or various load conditions, with a correction value ΔL. 修正 Calculated using the following formula:

[0151] ΔL 修正 = -10 × log 10 (1-10 -0.1×ΔL )

[0152] The corrected sound level value under no-load conditions is obtained from the above formula. The corrected sound level value under soybean load is The corrected sound level value under load of rice is The corrected sound level value under Apple load is The corrected sound level value under carrot load is Corrected sound level value under ice load The corrected sound level value under soybean load is

[0153] The average sound level and the average ambient noise level L in the table above 环境 If the difference ΔL is not less than 15dB, no correction is required.

[0154] The corrected data is as follows:

[0155] Table 7: Record of average sound pressure level correction values ​​for blender under different workbench usage environments in step S5 of Example 3 (Note: Data with "correction" after it are corrected data).

[0156]

[0157]

[0158] S6: Calculate the weighted average sound level under load conditions. The specific formula is as follows:

[0159]

[0160] Among them, w d The weight corresponding to the use of a high-speed blender for processing beans, w m The weight corresponding to the processing of grains using a high-speed blender, w p The weights corresponding to the use of a high-speed blender for processing fruits, w h The weight corresponding to the use of a high-speed blender for processing vegetables, w bThe weight corresponding to the use of a high-speed blender for processing ice cubes and cold drinks, w g Weights corresponding to the use of cell wall breakers for processing traditional Chinese medicine products; w d w m w p w h w b and w g The corresponding weights are determined by the frequency with which the blender in this category processes products of that category during use. These weights were obtained through a consumer survey of blenders in this category. Data from a survey of small blenders (500-800ml) shows that these blenders are used for processing beans 44.2% of the time, grains 5.6%, fruits 25.5%, vegetables 16.3%, ice and cold drinks 7.6%, and traditional Chinese medicine 0.4%. Other applications, such as minced meat processing, are not considered. Blenders are not recommended for use with fresh meat and ready-to-eat products.

[0161] The weighted average sound pressure level under load, calculated using the above formula, is:

[0162] Table 8: Weighted average sound pressure level records for each workbench environment in Example 3

[0163]

[0164] This blender has a smaller capacity, lower power, and lower motor speed, so its noise level is lower than that of the large household blender in Example 1. However, due to the lack of noise reduction structures, its noise level is higher than that of Example 2.

[0165] The data above shows that the thicker the workbench, the lower the sound pressure level of the vibration noise. Wooden workbenches are more effective at reducing noise, followed by marble workbenches. Tempered glass and stainless steel workbenches are the least effective at reducing the vibration noise of the blender.

[0166] The above data on the worktable can provide consumers with a reference, allowing them to decide which function and model of blender to purchase based on their own usage environment.

[0167] To make it easier for consumers to choose, the sound pressure level of the most frequently used food (such as making soy milk) and the actual sound pressure level of the food with the highest sound pressure level (ice cubes) can be marked. This will further help consumers to more intuitively distinguish the noise intensity of the blender in actual use and provide more detailed reference data for their purchase.

Claims

1. A vibration and noise detection device for a blender, comprising a positioning mechanism (1) disposed in a detection chamber and a plurality of noise detection mechanisms (2), characterized in that: The positioning mechanism (1) is used to position the testing platform of different materials. The positioning mechanism (1) includes a lifting platform (11). The bottom of the lifting platform (11) is provided with several lifting cylinders (111). Each lifting cylinder (111) has a lifting cylinder (112). Side clamping mechanisms (12) are provided on both sides of the lifting platform (11). End clamping mechanisms (13) are provided at both ends of the lifting platform (11). A pair of side sliding holes are opened on both sides of the top surface of the lifting platform (11). 113), a pair of end sliding holes (114) are opened at both ends of the top surface of the lifting platform (11). The side clamping mechanism (12) includes a longitudinal lead screw (121) and a longitudinal slide rail (122) set on the bottom surface of the lifting platform (11). The threads at both ends of the longitudinal lead screw (121) are turned in opposite directions. A longitudinal drive motor (123) is set at one end of the longitudinal lead screw (121). A side clamping seat (124) is slidably set on the longitudinal slide rail (122). 4) The fixed side clamping plate (125) is connected by a connecting rod passing through the side sliding hole (113). The end clamping mechanism (13) includes a transverse lead screw (131) and a transverse slide rail (132) set on the bottom surface of the lifting platform (11). The transverse lead screw (131) and the transverse slide rail (132) are arranged alternately with the longitudinal lead screw (121) and the longitudinal slide rail (122). The threads at both ends of the transverse lead screw (131) are turned in opposite directions. One end of the transverse lead screw (131) is provided with A transverse drive motor (133) is provided, and an end clamping seat (134) is slidably set on the transverse slide rail (132). The end clamping seat (134) is connected to a fixed end clamping plate (135) through a connecting rod passing through an end sliding hole (114). At least four noise detection mechanisms (2) are provided. Each of the four noise detection mechanisms (2) includes a slidingly engaged support arm (21) and a telescopic arm (26). A sound level meter (3) and a distance sensor are provided at the front end of the telescopic arm (26).

2. The vibration and noise detection device for a blender according to claim 1, characterized in that: The support arm (21) has a support chamber (22) on the inner side of its front end. A telescopic arm (26) is slidably arranged in the support chamber (22). An adjusting screw (24) is rotatably arranged in the support arm (21). An adjusting servo motor (25) is arranged at the rear end of the adjusting screw (24). A screw nut (23) that cooperates with the adjusting screw (24) is arranged on the adjusting screw (24).

3. The vibration and noise detection device for a blender according to claim 1, characterized in that: Multiple noise detection mechanisms (2) are distributed in the same plane, and the extension lines of multiple support arms (21) coincide.

4. The vibration and noise detection device for a blender according to claim 3, characterized in that: The noise detection mechanism (2) has seven units, and the sound level meters (3) of the seven noise detection mechanisms (2) are respectively located directly above the common point of the extension lines of the multiple support arms (21), 45 degrees to the left and above, 45 degrees to the right and above, to the left and to the right, 30 degrees to the left and below, and 30 degrees to the right and below.

5. The vibration and noise detection device for a blender according to claim 1, characterized in that: The sound level meter (3) is 1 meter away from the blender.

6. The vibration and noise detection device for a blender according to claim 1, characterized in that: The side clamping plate (125) and the end clamping plate (135) are arranged alternately.

7. The vibration and noise detection device for a blender according to claim 1, characterized in that: The lifting platform (11) is used to fix workbenches of different materials and thicknesses, and the testing blender is placed in the center of the workbench.

8. A method for detecting vibration and noise in a blender, characterized in that, The vibration and noise of the blender are detected using the vibration and noise detection device as described in any one of claims 1-7. The specific steps are as follows: S1: Mark the center of the workbench and place the workbench on the top surface of the lifting platform (11). Use the side clamping mechanism (12) and the end clamping mechanism (13) to clamp and position the workbench. Use the lifting of the lifting platform (11) to make the workbench surface at the detection height and place the detection blender at the center of the workbench mark. S2: Adjust the distance between the sound level meter (3) and the blender so that the straight-line distance between the sound level meter (3) and the blender is 1m; S3: First, start the sound level meter (3) for 30 seconds and record the average ambient noise level (L) when the blender is not running. 环境 Then, the blender was started for 10-20 seconds under no-load conditions, and the average value of the sound level meter (3) was recorded as L. k1 L k2 ···L kN The blender was started and processed under the loads of soybeans, rice, apples, carrots, ice, and kudzu root, respectively. The average values ​​of each sound level meter (3) under each load were recorded as follows: Soybeans: L d1 L d2 ···L dN ; Rice: L m1 L m2 ···L mN ; Apple: L p1 L p2 ···L pN ; Carrot: L h1 L h2 ···L hN ; Ice cubes: L b1 L b2 ···L bN ; Kudzu root: L g1 L g2 ···L gN ; S4: Calculate the average value of the values ​​obtained from the sound level meter (3) to obtain the average value under no-load conditions. Average value under soybean load Average value under load rice Average value under load Apple Average value under load of carrots Average value under load of ice Average value under load of kudzu S5: Apply background noise correction to the average sound level under the above no-load and load conditions: When the average sound level is equal to the average ambient noise level L 环境 When the difference ΔL is less than 15dB, the average measured sound level is corrected using the following formula: in, The average sound level is obtained under no-load or various load conditions, with a correction value ΔL. 修正 Calculated using the following formula: ΔL 修正 = -10×log 10 (1-10 -0.1×ΔL ) The corrected sound level value under no-load conditions is obtained from the above formula. The corrected sound level value under soybean load is The corrected sound level value under load of rice is The corrected sound level value under Apple load is The corrected sound level value under carrot load is Corrected sound level value under ice load The corrected sound level value under soybean load is When the average sound level is equal to the average ambient noise level L 环境 When the difference ΔL is not less than 15dB, no correction is required. S6: Calculate the weighted average sound level under load conditions. The specific formula is as follows: Among them, w d The weight corresponding to the use of a high-speed blender for processing beans, w m The weight corresponding to the processing of grains using a high-speed blender, w p The weights corresponding to the use of a high-speed blender for processing fruits, w h The weight corresponding to the use of a high-speed blender for processing vegetables, w b The weight corresponding to the use of a high-speed blender for processing ice cubes and cold drinks, w g Weights corresponding to the use of cell wall breakers for processing traditional Chinese medicine products; S7: Switch between workbenches of different materials and board thicknesses to obtain the vibration and noise values ​​of the blender on workbenches of different materials and board thicknesses.

9. The vibration and noise detection method for a blender according to claim 7, characterized in that: In S6, w d w m w p w h w b and w g The corresponding weights are determined by the frequency with which the blender of that type processes that product category during use.

10. The vibration and noise detection method for a blender according to claim 7, characterized in that: In step S7, the blender is started and processed under the conditions of loading soybeans, rice, apples, carrots, ice cubes and kudzu root respectively. The processing time for each type is determined according to the actual situation and the time is different.

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