CN117330265B - Mattress elasticity testing method and system - Google Patents

Mattress elasticity testing method and system Download PDF

Info

Publication number
CN117330265B
CN117330265B CN202311632545.XA CN202311632545A CN117330265B CN 117330265 B CN117330265 B CN 117330265B CN 202311632545 A CN202311632545 A CN 202311632545A CN 117330265 B CN117330265 B CN 117330265B
Authority
CN
China
Prior art keywords
elastic
mattress
value
abnormal
signal
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202311632545.XA
Other languages
Chinese (zh)
Other versions
CN117330265A (en
Inventor
张蓉
曹柳娜
陈兴慧
刘维嘉
高东辉
王震
赵灵杰
刘大宇
徐惠
蒋叶
张童
周晴杰
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Suzhou Product Quality Supervision And Inspection Institute Suzhou Quality And Technical Supervision Comprehensive Inspection And Testing Center Suzhou Quality Certification Center
Original Assignee
Suzhou Product Quality Supervision And Inspection Institute Suzhou Quality And Technical Supervision Comprehensive Inspection And Testing Center Suzhou Quality Certification Center
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Suzhou Product Quality Supervision And Inspection Institute Suzhou Quality And Technical Supervision Comprehensive Inspection And Testing Center Suzhou Quality Certification Center filed Critical Suzhou Product Quality Supervision And Inspection Institute Suzhou Quality And Technical Supervision Comprehensive Inspection And Testing Center Suzhou Quality Certification Center
Priority to CN202311632545.XA priority Critical patent/CN117330265B/en
Publication of CN117330265A publication Critical patent/CN117330265A/en
Application granted granted Critical
Publication of CN117330265B publication Critical patent/CN117330265B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M5/00Investigating the elasticity of structures, e.g. deflection of bridges or air-craft wings
    • G01M5/0041Investigating the elasticity of structures, e.g. deflection of bridges or air-craft wings by determining deflection or stress
    • G01M5/005Investigating the elasticity of structures, e.g. deflection of bridges or air-craft wings by determining deflection or stress by means of external apparatus, e.g. test benches or portable test systems
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing systems specially adapted for manufacturing

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Computation (AREA)
  • Geometry (AREA)
  • General Engineering & Computer Science (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Investigating Strength Of Materials By Application Of Mechanical Stress (AREA)

Abstract

The invention discloses a mattress elasticity test method and system, comprising the following steps: obtaining elastic performance data of a mattress test area; releasing mechanical pressing, obtaining rebound time data, and calculating to obtain an elastic representation value of a mattress test area; based on the elastic representation value of the mattress test area, comparing the elastic representation value with a corresponding threshold value, judging the elastic state of the test area, and obtaining an elastic representation signal; based on the elastic performance signal of each test area, counting the whole performance value of the mattress, and analyzing the mattress elastic signal; based on mattress elastic signals, performing elastic quality grade division on the mattress; according to the invention, through analyzing and testing the area and then the whole body, the accuracy of the mattress elasticity test can be effectively improved, the distribution state of mattress elasticity and the layout of the mattress elasticity state can be judged, the quality judgment according to the using characteristics of the mattress is facilitated, and the comprehensiveness of the test is further improved.

Description

Mattress elasticity testing method and system
Technical Field
The invention relates to the technical field of mattress testing, in particular to a mattress elasticity testing method and system.
Background
Chinese patent CN110514373B discloses a mattress elasticity test method. The method comprises the following steps of: a. static pressure is carried out on a mattress material sample; b. recording stress relaxation change in the static pressure process to obtain a trend equation: epsilon=at+b; wherein, the parameter t represents static pressure time, epsilon represents stress relaxation, a represents slope, and b represents stress relaxation at the time of 0; d. the stress relaxation changes delta epsilon i in more than one static pressure time period delta ti are weighted and summed and averaged to obtain a weighted average delta, namely: where i represents an i-th period Δti, n represents n Δti time points, and fi represents a weight of a stress relaxation change Δεi; e. judging the elasticity of the mattress according to the obtained delta value, wherein the delta value and the elasticity of the mattress are in monotonically decreasing relation;
in the prior art, when the mattress is subjected to elasticity test, only the change relation between the mattress elasticity and time is represented, and the elastic distribution condition of the mattress cannot be locally and effectively analyzed, so that the overall performance condition of the mattress elasticity is analyzed, and the use value of the mattress is effectively and accurately judged.
Disclosure of Invention
The invention aims to provide a mattress elasticity test method and system, which solve the following technical problems: the elastic distribution condition of the mattress can not be locally and effectively analyzed, so that the overall elastic performance condition of the mattress is analyzed, and the use value of the mattress is effectively and accurately judged.
The aim of the invention can be achieved by the following technical scheme:
a method for testing the elasticity of a mattress, comprising the steps of:
step 1: obtaining elastic performance data of a mattress test area, wherein the elastic performance data comprises collapse difference values;
step 2: releasing mechanical pressing, obtaining rebound time data, and calculating to obtain an elastic representation value of a mattress test area, wherein the rebound time data comprises recovery time of a test center sub-area and recovery average time of a test non-center sub-area;
step 3: comparing the elastic representation value of the test area of the mattress with a corresponding threshold value, and judging the elastic state of the test area to obtain an elastic representation signal, wherein the elastic representation signal comprises an abnormal signal of the test area and a normal signal of the test area;
step 4: based on the elastic performance signal of each test area, counting the whole performance value of the mattress, and analyzing the mattress elastic signal;
the mattress overall performance value comprises abnormal point number values and abnormal distribution values, and the mattress elastic signals comprise duty ratio qualified signals, duty ratio unqualified signals, scattered qualified signals and scattered unqualified signals;
step 5: based on mattress elastic signals, performing elastic quality grade division on the mattress;
the elastic quality level comprises an elastic quality priority signal, an elastic quality middle level signal and an elastic quality difference level signal.
As a further scheme of the invention: in step 1, the mattress is first divided into i test areas in the form of a grid, and then each test area is divided into nine test sub-areas in the form of a nine-grid.
As a further scheme of the invention: the elastic performance data is obtained by the following steps:
obtaining the collapse depth of the test center subarea, marking as a middle collapse depth ZTz, and testing the minimum collapse depth and collapse angle corresponding to the non-center subarea, marking as a non-middle minimum collapse depth ZTlx and a non-middle collapse angle DTl respectively;
by the formulaCalculating to obtain each non-middle partCollapse value ZTl for the cardiac subregion.
As a further scheme of the invention: in step 2, releasing the mechanical pressing, obtaining the recovery time of the test center sub-area and the recovery average time of the test non-center sub-area, and marking the recovery time as middle-area recovery time TZz and non-middle-area recovery average time TZj respectively;
acquiring a middle-zone collapse depth ZTz and a non-middle-zone collapse mean value ZTlj;
by the formulaCalculating to obtain an elastic performance value ZBTi of each mattress test area; wherein a1 and a2 are weight coefficients.
As a further scheme of the invention: in step 3, if the elastic representation value of the mattress test area is greater than or equal to the elastic representation threshold value of the mattress test area, generating a test area abnormal signal;
and if the elastic representation value of the mattress test area is smaller than the elastic representation threshold value of the mattress test area, generating a test area normal signal.
As a further scheme of the invention: in step 4, obtaining an abnormal signal of the test area, and marking the test area as an abnormal area;
constructing a two-dimensional coordinate system by taking the central point of the mattress as the origin of coordinates, acquiring the central point of each abnormal region, marking the central point as an elastic abnormal point, and correspondingly marking the elastic abnormal point in the two-dimensional coordinate system;
based on a two-dimensional coordinate system, firstly counting the number of elastic outliers, and marking the number as the number of the elastic outliers;
then, presetting an analysis area by taking the origin of coordinates as a center, and counting the number of elastic outliers positioned in the analysis area;
all elastic abnormal points are connected end to end along the clockwise direction, an elastic abnormal point closed area is constructed, and the area of the elastic abnormal point closed area is calculated;
and multiplying the obtained elastic abnormal point closed area by the number of the elastic abnormal points in the analysis area to obtain an abnormal distribution value.
As a further scheme of the invention: if the number value of the elastic abnormal points is larger than or equal to the threshold value of the number of the elastic abnormal points, generating a duty ratio disqualification signal, and if the number value of the elastic abnormal points is smaller than the threshold value of the number of the elastic abnormal points, generating a duty ratio qualification signal;
if the abnormal distribution value is equal to or greater than the abnormal distribution threshold, a dispersion pass signal is generated, and if the abnormal distribution value is less than the abnormal distribution threshold, a dispersion fail signal is generated.
As a further scheme of the invention: in step 5, when the duty ratio qualified signal and the dispersion qualified signal are obtained at the same time, generating an elastic quality priority signal;
generating an elastic quality intermediate signal when the duty ratio disqualified signal and the dispersion qualified signal or the duty ratio qualified signal and the dispersion disqualified signal are obtained simultaneously;
and generating an elastic quality difference signal when the duty ratio disqualified signal and the dispersion disqualified signal are obtained simultaneously.
As a further scheme of the invention: the method also comprises the following steps:
calculating the difference value between the collapse depth ZTz of the middle region and the collapse value ZTl of each non-central sub-region to obtain a first collapse intermediate value, and summing all the first collapse intermediate values to obtain a mean value to obtain a first collapse difference value;
performing difference calculation on the collapse values ZTl of each non-central subarea between adjacent subareas to obtain a second collapse intermediate value, and summing all the second collapse intermediate values to obtain a mean value to obtain a second collapse difference value;
adding and summing the obtained first collapse difference value and the second collapse difference value to obtain an abnormal dispersion value of each mattress test area;
if the abnormal dispersion value is greater than or equal to the abnormal dispersion threshold value, marking the test area as an abnormal dispersion area;
if the abnormal dispersion value is smaller than the abnormal dispersion threshold value, marking the test area as a normal dispersion area;
obtaining the number of the elastic abnormal points, obtaining the central point of each abnormal dispersion area, marking the central point as the abnormal dispersion points, correspondingly marking the central points in a two-dimensional coordinate system, counting the number of the abnormal dispersion points based on the two-dimensional coordinate system, and marking the central points as the number of the abnormal dispersion points;
adding and summing the elastic abnormal point number value and the scattered abnormal point number value to obtain an abnormal number total value;
generating a usability low signal if the total value of the abnormal number is greater than or equal to the total threshold value of the abnormal number;
and if the total value of the abnormal number is smaller than the total threshold value of the abnormal number, generating a high-usability signal.
A mattress elasticity testing system, the testing system comprising:
region acquisition module: obtaining elastic performance data of a mattress test area, wherein the elastic performance data comprises collapse difference values;
the area analysis module: releasing mechanical pressing, obtaining rebound time data, and calculating to obtain an elastic representation value of a mattress test area;
the regional elasticity judging module: based on the elastic representation value of the mattress test area, comparing the elastic representation value with a corresponding threshold value, judging the elastic state of the test area, and obtaining an elastic representation signal;
mattress elasticity analysis module: based on the elastic performance signal of each test area, counting the whole performance value of the mattress, and analyzing the mattress elastic signal;
mattress grade division module: based on mattress elastic signals, performing elastic quality grade division on the mattress;
and the regional dispersion judging module is used for: when an elastic quality intermediate signal is obtained, calculating an abnormal dispersion value of each mattress test area based on elastic performance data;
a mattress value estimation module: based on the number of the elastic abnormal points, the number of the abnormal dispersion areas is obtained, and the use value of the mattress is judged.
The invention has the beneficial effects that:
the invention obtains the elastic performance data of the mattress test area; releasing mechanical pressing, obtaining rebound time data, and calculating to obtain an elastic representation value of a mattress test area; based on the elastic representation value of the mattress test area, comparing the elastic representation value with a corresponding threshold value, judging the elastic state of the test area, and obtaining an elastic representation signal; based on the elastic performance signal of each test area, counting the whole performance value of the mattress, and analyzing the mattress elastic signal; based on mattress elastic signals, performing elastic quality grade division on the mattress; according to the embodiment of the invention, the mattress is divided into areas, the elasticity state of each test area is analyzed and judged by taking the collapse difference value and the rebound time as parameters, and then the overall elasticity condition of the mattress is analyzed according to the abnormal condition of each test area, so that the elasticity of the mattress is graded; the accuracy of the mattress elasticity test can be effectively improved through the analysis test of the area and then the whole body, and the distribution state of the mattress elasticity can be judged, and as most of the mattress using areas are positioned at the central position, the using probability of the edge positions is lower, so that the layout of the mattress elasticity state is beneficial to quality judgment according to the using characteristics of the mattress, and the comprehensiveness of the test is further improved; even the use of the mattress can be judged according to the elasticity grade obtained by the test, so that the use quality of the mattress is improved;
according to the invention, when an elastic quality intermediate signal is obtained, based on elastic performance data, an abnormal dispersion value of each mattress test area is calculated, based on the number of elastic abnormal points, the number of the abnormal dispersion areas is obtained, and the use value of the mattress is judged; according to the embodiment of the invention, the use value of the mattress with the elastic quality intermediate signal is further analyzed and judged by judging the elastic dispersion uniformity degree of each test area and then combining the elastic abnormal point number value with the dispersion abnormal point number value, so that the use quality of the mattress is further improved.
Drawings
The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a block flow diagram of a method for testing elasticity of a mattress according to an embodiment of the present invention;
FIG. 2 is a block flow diagram of a method for testing elasticity of a mattress according to a second embodiment of the present invention;
fig. 3 is a system block diagram of a mattress elasticity testing system according to a second embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
FIG. 1 is a block flow diagram of a method for testing elasticity of a mattress according to an embodiment of the present invention, which is performed by a mattress elasticity testing system;
as shown in fig. 1, the invention is a mattress elasticity testing method, comprising the following steps:
step 1: obtaining elastic performance data of a mattress test area;
the test area is divided in the following way: firstly, dividing a mattress into i test areas in a grid mode, and dividing each test area into nine test subareas in a nine-grid mode; i=1, 2, 3., i is a positive integer;
the elastic performance data includes collapse differences;
in some embodiments, the mattress is divided into i test areas in a grid form, and each test area is divided into nine test sub-areas in a nine-grid form; mechanically pressing the test subarea positioned at the center by preset pressure;
obtaining the collapse depth of the test center sub-region, namely the middle region collapse depth ZTz, and testing the minimum collapse depth and collapse angle (the inclination angle between the top surface of the center region and the top surface of the non-center sub-region) corresponding to the non-center sub-region, namely the non-middle region minimum collapse depth ZTlx and the non-middle region collapse angle DTl;
by the formulaCalculating a collapse value ZTl of each non-central sub-region;
step 2: releasing mechanical pressing, obtaining rebound time data, and calculating to obtain an elastic representation value of a mattress test area;
the rebound time data comprise recovery time of the test center sub-area and recovery average time of the test non-center sub-area;
in some embodiments, the mechanical press is released, and the recovery time of the test center sub-area and the recovery average time of the test non-center sub-area are obtained and marked as a middle recovery time TZz and a non-middle recovery average time TZj respectively (the non-middle recovery average time is obtained by adding and summing each non-middle recovery time to obtain an average value);
obtaining a middle-zone collapse depth ZTz and a non-middle-zone collapse mean ZTlj (the non-middle-zone collapse mean is obtained by adding and summing the collapse values of each non-center sub-zone and taking the mean value;
by the formulaCalculating to obtain an elastic performance value ZBTi of each mattress test area; wherein, a1 and a2 are weight coefficients, a1+a2=1, preferably, a1 takes a value of 0.76 and a2 takes a value of 0.34;
wherein, the values of a1 and a2 represent the ratio of the influence of the recovery state of the central area and the recovery state of the non-central area on the elastic representation value of the mattress test area;
step 3: based on the elastic representation value of the mattress test area, comparing the elastic representation value with a corresponding threshold value, judging the elastic state of the test area, and obtaining an elastic representation signal;
the elastic performance signal comprises a test area abnormal signal and a test area normal signal;
in some embodiments, the resulting spring performance value of the mattress test area is compared to a spring performance threshold value of the mattress test area;
if the elastic representation value of the mattress test area is more than or equal to the elastic representation threshold value of the mattress test area, generating a test area abnormal signal;
if the elastic representation value of the mattress test area is smaller than the elastic representation threshold value of the mattress test area, generating a test area normal signal;
step 4: based on the elastic performance signal of each test area, counting the whole performance value of the mattress, and analyzing the mattress elastic signal;
the mattress overall performance value comprises abnormal point number values and abnormal distribution values, and the mattress elastic signals comprise duty ratio qualified signals, duty ratio unqualified signals, scattered qualified signals and scattered unqualified signals;
in some embodiments, a test area anomaly signal is obtained and the test area is marked as an anomaly area;
constructing a two-dimensional coordinate system by taking the central point of the mattress as the origin of coordinates, acquiring the central point of each abnormal region, marking the central point as an elastic abnormal point, and correspondingly marking the elastic abnormal point in the two-dimensional coordinate system;
based on a two-dimensional coordinate system, firstly counting the number of elastic outliers, and marking the number as the number of the elastic outliers;
then, taking the origin of coordinates as a center, presetting an analysis area (the rectangular area of the analysis area occupies between 1/3 and 1/4 of the rectangular area of the whole area of the mattress), and counting the number of elastic abnormal points positioned in the analysis area;
all elastic abnormal points are connected end to end along the clockwise direction, an elastic abnormal point closed area is constructed, and the area of the elastic abnormal point closed area is calculated;
multiplying the obtained elastic abnormal point closed area by the number of the elastic abnormal points in the analysis area to obtain an abnormal distribution value;
comparing the obtained elastic abnormal point number value and the abnormal distribution value with corresponding threshold values respectively;
if the number value of the elastic abnormal points is larger than or equal to the threshold value of the number of the elastic abnormal points, generating a duty ratio disqualification signal, and if the number value of the elastic abnormal points is smaller than the threshold value of the number of the elastic abnormal points, generating a duty ratio qualification signal;
if the abnormal distribution value is larger than or equal to the abnormal distribution threshold value, generating a scattered qualified signal, and if the abnormal distribution value is smaller than the abnormal distribution threshold value, generating a scattered unqualified signal;
the proportion unqualified signals indicate that the number of abnormal areas is large for the whole mattress area, the standard of the mattress elastic quality is not met, the proportion unqualified signals indicate that the number of abnormal areas is small for the whole mattress area, and the standard of the mattress elastic quality is met; the scattered qualified signals indicate that the abnormal areas are distributed and scattered in the whole mattress area, the number of the abnormal areas is small in the central area of the mattress, the scattered qualified signals indicate that the abnormal areas are distributed and concentrated in the whole mattress area, and the number of the abnormal areas is large in the central area of the mattress;
step 5: based on mattress elastic signals, performing elastic quality grade division on the mattress;
the elastic quality level comprises an elastic quality priority signal, an elastic quality middle level signal and an elastic quality difference level signal;
in some embodiments, the duty ratio qualified signals, the duty ratio unqualified signals, the scattered qualified signals and the scattered unqualified signals are obtained and subjected to cross processing;
when the duty ratio qualified signals and the dispersion qualified signals are obtained at the same time, generating elastic quality priority signals;
generating an elastic quality intermediate signal when the duty ratio disqualified signal and the dispersion qualified signal or the duty ratio qualified signal and the dispersion disqualified signal are obtained simultaneously;
generating an elastic quality difference signal when the duty ratio disqualified signal and the dispersion disqualified signal are obtained simultaneously;
when the elastic quality signal is obtained, the mattress has good elastic quality and high use value, the batch of mattresses can be normally used, when the elastic quality signal is obtained, the mattress has poor elastic quality and low use value, the batch of mattresses cannot be normally used, and when the elastic quality signal is obtained, the mattress has unstable elastic quality, and further analysis and judgment are needed for the mattress, and whether the mattress can be used or not;
the technical scheme of the embodiment of the invention comprises the following steps: obtaining elastic performance data of a mattress test area; releasing mechanical pressing, obtaining rebound time data, and calculating to obtain an elastic representation value of a mattress test area; based on the elastic representation value of the mattress test area, comparing the elastic representation value with a corresponding threshold value, judging the elastic state of the test area, and obtaining an elastic representation signal; based on the elastic performance signal of each test area, counting the whole performance value of the mattress, and analyzing the mattress elastic signal; based on mattress elastic signals, performing elastic quality grade division on the mattress; according to the embodiment of the invention, the mattress is divided into areas, the elasticity state of each test area is analyzed and judged by taking the collapse difference value and the rebound time as parameters, and then the overall elasticity condition of the mattress is analyzed according to the abnormal condition of each test area, so that the elasticity of the mattress is graded; the accuracy of the mattress elasticity test can be effectively improved through the analysis test of the area and then the whole body, and the distribution state of the mattress elasticity can be judged, and as most of the mattress using areas are positioned at the central position, the using probability of the edge positions is lower, so that the layout of the mattress elasticity state is beneficial to quality judgment according to the using characteristics of the mattress, and the comprehensiveness of the test is further improved; even the use of the mattress can be judged according to the elasticity grade obtained by the test, so that the use quality of the mattress is improved.
Example two
Fig. 2 is a flow chart of a mattress elasticity testing method according to a second embodiment of the invention, which further includes the following steps;
step 6: when an elastic quality intermediate signal is obtained, calculating an abnormal dispersion value of each mattress test area based on elastic performance data;
in some embodiments, the middle region collapse depth ZTz and the collapse value ZTl of each non-central sub-region are subjected to difference calculation to obtain a first collapse intermediate value, and all the first collapse intermediate values are summed to obtain a mean value to obtain a first collapse difference value;
performing difference calculation on the collapse values ZTl of each non-central subarea between adjacent subareas to obtain a second collapse intermediate value, and summing all the second collapse intermediate values to obtain a mean value to obtain a second collapse difference value;
in other embodiments, the resulting first collapse difference is summed with the second collapse difference to yield an outlier for each mattress test area;
comparing the outlier dispersion value for each mattress test area with an outlier dispersion threshold;
if the abnormal dispersion value is greater than or equal to the abnormal dispersion threshold value, marking the test area as an abnormal dispersion area;
if the abnormal dispersion value is smaller than the abnormal dispersion threshold value, marking the test area as a normal dispersion area;
step 7: based on the number of the elastic abnormal points, the number of the abnormal dispersion areas is obtained, and the use value of the mattress is judged;
in some embodiments, obtaining the number of elastic outliers, obtaining the central point of each abnormal dispersion area, marking the central point as a dispersion outlier, correspondingly marking the central point in a two-dimensional coordinate system, counting the number of the dispersion outliers based on the two-dimensional coordinate system, and marking the central point as the number of the dispersion outliers;
adding and summing the elastic abnormal point number value and the scattered abnormal point number value to obtain an abnormal number total value;
comparing the obtained total value of the abnormal number with a total threshold value of the abnormal number;
generating a usability low signal if the total value of the abnormal number is greater than or equal to the total threshold value of the abnormal number;
if the total value of the abnormal number is smaller than the total threshold value of the abnormal number, generating a usability high signal;
the technical scheme of the embodiment of the invention comprises the following steps: when an elastic quality intermediate signal is obtained, calculating an abnormal dispersion value of each mattress test area based on elastic performance data, obtaining the number of the abnormal dispersion areas based on the number of elastic abnormal points, and judging the use value of the mattress; according to the embodiment of the invention, the use value of the mattress with the elastic quality intermediate signal is further analyzed and judged by judging the elastic dispersion uniformity degree of each test area and then combining the elastic abnormal point number value with the dispersion abnormal point number value, so that the use quality of the mattress is further improved.
Example III
Fig. 3 is a system block diagram of a mattress elasticity testing system according to a second embodiment of the present invention, where the mattress elasticity testing system includes:
region acquisition module: obtaining elastic performance data of a mattress test area, wherein the elastic performance data comprises collapse difference values;
the area analysis module: releasing mechanical pressing, obtaining rebound time data, and calculating to obtain an elastic representation value of a mattress test area;
the regional elasticity judging module: based on the elastic representation value of the mattress test area, comparing the elastic representation value with a corresponding threshold value, judging the elastic state of the test area, and obtaining an elastic representation signal;
mattress elasticity analysis module: based on the elastic performance signal of each test area, counting the whole performance value of the mattress, and analyzing the mattress elastic signal;
mattress grade division module: based on mattress elastic signals, performing elastic quality grade division on the mattress;
and the regional dispersion judging module is used for: when an elastic quality intermediate signal is obtained, calculating an abnormal dispersion value of each mattress test area based on elastic performance data;
a mattress value estimation module: based on the number of the elastic abnormal points, the number of the abnormal dispersion areas is obtained, and the use value of the mattress is judged.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas with a large amount of data collected for software simulation to obtain the latest real situation, and preset parameters in the formulas are set by those skilled in the art according to the actual situation.
The foregoing describes one embodiment of the present invention in detail, but the description is only a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. All equivalent changes and modifications within the scope of the present invention are intended to be covered by the present invention.

Claims (8)

1. A method for testing the elasticity of a mattress, comprising the steps of:
step 1: obtaining elastic performance data of a mattress test area, wherein the elastic performance data comprises collapse difference values;
firstly, dividing a mattress into i test areas in a grid mode, and dividing each test area into nine test subareas in a nine-grid mode;
the elastic performance data is obtained by the following steps:
obtaining the collapse depth of the test center subarea, marking as a middle collapse depth ZTz, and testing the minimum collapse depth and collapse angle corresponding to the non-center subarea, marking as a non-middle minimum collapse depth ZTlx and a non-middle collapse angle DTl respectively;
by the formulaCalculating a collapse value ZTl of each non-central sub-region;
step 2: releasing mechanical pressing, obtaining rebound time data, and calculating to obtain an elastic representation value of a mattress test area, wherein the rebound time data comprises recovery time of a test center sub-area and recovery average time of a test non-center sub-area;
step 3: comparing the elastic representation value of the test area of the mattress with a corresponding threshold value, and judging the elastic state of the test area to obtain an elastic representation signal, wherein the elastic representation signal comprises an abnormal signal of the test area and a normal signal of the test area;
step 4: based on the elastic performance signal of each test area, counting the whole performance value of the mattress, and analyzing the mattress elastic signal;
the mattress overall performance value comprises abnormal point number values and abnormal distribution values, and the mattress elastic signals comprise duty ratio qualified signals, duty ratio unqualified signals, scattered qualified signals and scattered unqualified signals;
step 5: based on mattress elastic signals, performing elastic quality grade division on the mattress;
the elastic quality level comprises an elastic quality priority signal, an elastic quality middle level signal and an elastic quality difference level signal.
2. The method according to claim 1, wherein in step 2, the mechanical pressing is released, and the recovery time of the test center sub-area and the recovery average time of the test non-center sub-area are obtained, and are respectively marked as a middle-area recovery time TZz and a non-middle-area recovery average time TZj;
acquiring a middle-zone collapse depth ZTz and a non-middle-zone collapse mean value ZTlj;
by the formulaCalculating to obtain an elastic performance value ZBTi of each mattress test area; wherein a1 and a2 are weight coefficients.
3. The method according to claim 1, wherein in step 3, if the elastic representation value of the mattress test area is equal to or greater than the elastic representation threshold value of the mattress test area, an abnormal signal of the test area is generated;
and if the elastic representation value of the mattress test area is smaller than the elastic representation threshold value of the mattress test area, generating a test area normal signal.
4. The method according to claim 1, wherein in step 4, an abnormal signal of the test area is obtained, and the test area is marked as an abnormal area;
constructing a two-dimensional coordinate system by taking the central point of the mattress as the origin of coordinates, acquiring the central point of each abnormal region, marking the central point as an elastic abnormal point, and correspondingly marking the elastic abnormal point in the two-dimensional coordinate system;
based on a two-dimensional coordinate system, firstly counting the number of elastic outliers, and marking the number as the number of the elastic outliers;
then, presetting an analysis area by taking the origin of coordinates as a center, and counting the number of elastic outliers positioned in the analysis area;
all elastic abnormal points are connected end to end along the clockwise direction, an elastic abnormal point closed area is constructed, and the area of the elastic abnormal point closed area is calculated;
and multiplying the obtained elastic abnormal point closed area by the number of the elastic abnormal points in the analysis area to obtain an abnormal distribution value.
5. The method of claim 4, wherein if the number of elastic outliers is greater than or equal to the threshold number of elastic outliers, generating a duty-cycle fail signal, and if the number of elastic outliers is less than the threshold number of elastic outliers, generating a duty-cycle fail signal;
if the abnormal distribution value is equal to or greater than the abnormal distribution threshold, a dispersion pass signal is generated, and if the abnormal distribution value is less than the abnormal distribution threshold, a dispersion fail signal is generated.
6. The method according to claim 1, wherein in step 5, when the duty ratio qualified signal and the dispersion qualified signal are obtained at the same time, an elasticity quality priority signal is generated;
generating an elastic quality intermediate signal when the duty ratio disqualified signal and the dispersion qualified signal or the duty ratio qualified signal and the dispersion disqualified signal are obtained simultaneously;
and generating an elastic quality difference signal when the duty ratio disqualified signal and the dispersion disqualified signal are obtained simultaneously.
7. The method of testing the elasticity of a mattress of claim 1, further comprising the steps of:
calculating the difference value between the collapse depth ZTz of the middle region and the collapse value ZTl of each non-central sub-region to obtain a first collapse intermediate value, and summing all the first collapse intermediate values to obtain a mean value to obtain a first collapse difference value;
performing difference calculation on the collapse values ZTl of each non-central subarea between adjacent subareas to obtain a second collapse intermediate value, and summing all the second collapse intermediate values to obtain a mean value to obtain a second collapse difference value;
adding and summing the obtained first collapse difference value and the second collapse difference value to obtain an abnormal dispersion value of each mattress test area;
if the abnormal dispersion value is greater than or equal to the abnormal dispersion threshold value, marking the test area as an abnormal dispersion area;
if the abnormal dispersion value is smaller than the abnormal dispersion threshold value, marking the test area as a normal dispersion area;
obtaining the number of the elastic abnormal points, obtaining the central point of each abnormal dispersion area, marking the central point as the abnormal dispersion points, correspondingly marking the central points in a two-dimensional coordinate system, counting the number of the abnormal dispersion points based on the two-dimensional coordinate system, and marking the central points as the number of the abnormal dispersion points;
adding and summing the elastic abnormal point number value and the scattered abnormal point number value to obtain an abnormal number total value;
generating a usability low signal if the total value of the abnormal number is greater than or equal to the total threshold value of the abnormal number;
and if the total value of the abnormal number is smaller than the total threshold value of the abnormal number, generating a high-usability signal.
8. A mattress elasticity test system for performing the method of any one of the preceding claims 1-7, the test system comprising:
region acquisition module: obtaining elastic performance data of a mattress test area, wherein the elastic performance data comprises collapse difference values;
firstly, dividing a mattress into i test areas in a grid mode, and dividing each test area into nine test subareas in a nine-grid mode;
the elastic performance data is obtained by the following steps:
obtaining the collapse depth of the test center subarea, marking as a middle collapse depth ZTz, and testing the minimum collapse depth and collapse angle corresponding to the non-center subarea, marking as a non-middle minimum collapse depth ZTlx and a non-middle collapse angle DTl respectively;
by the formulaCalculating a collapse value ZTl of each non-central sub-region;
the area analysis module: releasing mechanical pressing, obtaining rebound time data, and calculating to obtain an elastic representation value of a mattress test area;
the regional elasticity judging module: based on the elastic representation value of the mattress test area, comparing the elastic representation value with a corresponding threshold value, judging the elastic state of the test area, and obtaining an elastic representation signal;
mattress elasticity analysis module: based on the elastic performance signal of each test area, counting the whole performance value of the mattress, and analyzing the mattress elastic signal;
mattress grade division module: based on mattress elastic signals, performing elastic quality grade division on the mattress;
and the regional dispersion judging module is used for: when an elastic quality intermediate signal is obtained, calculating an abnormal dispersion value of each mattress test area based on elastic performance data;
a mattress value estimation module: based on the number of the elastic abnormal points, the number of the abnormal dispersion areas is obtained, and the use value of the mattress is judged.
CN202311632545.XA 2023-12-01 2023-12-01 Mattress elasticity testing method and system Active CN117330265B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202311632545.XA CN117330265B (en) 2023-12-01 2023-12-01 Mattress elasticity testing method and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202311632545.XA CN117330265B (en) 2023-12-01 2023-12-01 Mattress elasticity testing method and system

Publications (2)

Publication Number Publication Date
CN117330265A CN117330265A (en) 2024-01-02
CN117330265B true CN117330265B (en) 2024-02-09

Family

ID=89277800

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202311632545.XA Active CN117330265B (en) 2023-12-01 2023-12-01 Mattress elasticity testing method and system

Country Status (1)

Country Link
CN (1) CN117330265B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117740281B (en) * 2024-02-19 2024-04-26 苏州市产品质量监督检验院(苏州市质量技术监督综合检验检测中心、苏州市质量认证中心) Mattress spring compression test system

Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB1445561A (en) * 1972-04-24 1976-08-11 Watkin B C Mattresses
US5148706A (en) * 1991-05-29 1992-09-22 France Bed Co., Ltd. Apparatus for selecting mattress
KR20110125453A (en) * 2010-05-13 2011-11-21 (주)금성토탈퍼니처 Surface compression test for durability test of mattress
JP2013099496A (en) * 2011-10-12 2013-05-23 Earthfullcoordination Co Ltd Mattress
CN106197908A (en) * 2016-06-27 2016-12-07 南京林业大学 Measure the device of sping mattress load sinkage
CN207133025U (en) * 2017-09-19 2018-03-23 江苏沃荷乳胶科技有限公司 A kind of device for being used to detect latex bed mattress elasticity
CN112461655A (en) * 2020-11-13 2021-03-09 大自然科技股份有限公司 Method for judging mattress elasticity index
KR20210155080A (en) * 2020-06-15 2021-12-22 한국생산기술연구원 Trampoline device capable of measuring momentum and a method for deriving a three-dimensional position using the same
CN215640003U (en) * 2021-06-04 2022-01-25 东莞市铨兴乳胶制品有限公司 Elasticity testing arrangement for slow resilience latex mattress
CN114235596A (en) * 2022-02-23 2022-03-25 武汉联乐床具有限公司 Mattress comprehensive test equipment
CN216770961U (en) * 2022-02-18 2022-06-17 重庆市计量质量检测研究院 Mattress elasticity detection device
CN218546074U (en) * 2022-10-14 2023-02-28 广东居家每刻家居科技有限公司 Elasticity detection device
CN116151035A (en) * 2023-04-17 2023-05-23 浙江想能睡眠科技股份有限公司 Personalized mattress design method, system and medium based on big data

Patent Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB1445561A (en) * 1972-04-24 1976-08-11 Watkin B C Mattresses
US5148706A (en) * 1991-05-29 1992-09-22 France Bed Co., Ltd. Apparatus for selecting mattress
KR20110125453A (en) * 2010-05-13 2011-11-21 (주)금성토탈퍼니처 Surface compression test for durability test of mattress
JP2013099496A (en) * 2011-10-12 2013-05-23 Earthfullcoordination Co Ltd Mattress
CN106197908A (en) * 2016-06-27 2016-12-07 南京林业大学 Measure the device of sping mattress load sinkage
CN207133025U (en) * 2017-09-19 2018-03-23 江苏沃荷乳胶科技有限公司 A kind of device for being used to detect latex bed mattress elasticity
KR20210155080A (en) * 2020-06-15 2021-12-22 한국생산기술연구원 Trampoline device capable of measuring momentum and a method for deriving a three-dimensional position using the same
CN112461655A (en) * 2020-11-13 2021-03-09 大自然科技股份有限公司 Method for judging mattress elasticity index
CN215640003U (en) * 2021-06-04 2022-01-25 东莞市铨兴乳胶制品有限公司 Elasticity testing arrangement for slow resilience latex mattress
CN216770961U (en) * 2022-02-18 2022-06-17 重庆市计量质量检测研究院 Mattress elasticity detection device
CN114235596A (en) * 2022-02-23 2022-03-25 武汉联乐床具有限公司 Mattress comprehensive test equipment
CN218546074U (en) * 2022-10-14 2023-02-28 广东居家每刻家居科技有限公司 Elasticity detection device
CN116151035A (en) * 2023-04-17 2023-05-23 浙江想能睡眠科技股份有限公司 Personalized mattress design method, system and medium based on big data

Also Published As

Publication number Publication date
CN117330265A (en) 2024-01-02

Similar Documents

Publication Publication Date Title
CN117330265B (en) Mattress elasticity testing method and system
CN109426655A (en) Data analysing method, device, electronic equipment and computer readable storage medium
US20220398714A1 (en) Printing Solder Point Quality Identification And Maintenance Suggestion System And Method Thereof
Morss et al. Influence of added observations on analysis and forecast errors: Results from idealized systems
KR20190096271A (en) Data processing method, data processing device, and data processing program
CN114800486A (en) Industrial robot fault diagnosis method and system based on statistical characteristics
CN113269805B (en) Rainfall event guided remote sensing rainfall inversion training sample self-adaptive selection method
CN109829000B (en) Consistency processing method and device for river annual runoff data
CN114077774A (en) Optical proximity correction method and system, mask, equipment and storage medium
CN117473253A (en) Power acquisition data quality assessment method
JP2020047846A (en) Data processing method, data processor, data processing system and data processing program
JP2009110262A (en) Filter device, filtering method for filter device and filtering program
CN111175608A (en) Power distribution network harmonic responsibility quantitative division method based on accelerated independent component analysis
CN111258863B (en) Data anomaly detection method, device, server and computer readable storage medium
CN108021774B (en) Data processing method and device
CN115201609A (en) Voltage fluctuation consistency fault diagnosis method
CN115293188A (en) Fault diagnosis method and device for reciprocating mechanical equipment
CN114019139A (en) Detection method for soil heavy metal abnormal data of agricultural land
CN112783885A (en) Method for eliminating abnormal values of photovoltaic output data
Salvadori Linear combinations of order statistics to estimate the quantiles of generalized pareto and extreme values distributions
CN113012120B (en) Gray value validity analysis method and device, electronic equipment and storage medium
CN117434413A (en) Software detection method based on synchronous input/output control of multiple semiconductors
CN111260203B (en) Data processing method and device, computer storage medium and electronic equipment
CN114089717B (en) Intermittent process quality related fault detection method based on multidirectional weighted elastic network
CN117169900B (en) Accurate sensing system, method, equipment and medium based on thick film circuit

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant