CN118518813B - Clothing flame retardant property detection method and system and electronic equipment - Google Patents
Clothing flame retardant property detection method and system and electronic equipment Download PDFInfo
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Abstract
The application relates to a method, a system and electronic equipment for detecting flame retardant property of clothing, and relates to the technical field of flame retardant testing of clothing, wherein the method comprises the following steps: after a clothing sample to be tested is placed in a test bin, receiving flame retardant grade information input by a user; obtaining a first flame retardant value and a second flame retardant value based on the flame retardant grade information; receiving a test environment instruction; matching environmental parameters based on the test environmental instructions; adjusting the temperature and the humidity in the test bin based on the environmental parameters; respectively acquiring images of a clothing sample to be tested when the first burning time length and the second burning time length are burnt; inputting the image into a pre-trained combustion analysis model to obtain morphological change data and flame propagation data in the combustion process; monitoring smoke data of the first combustion duration and the second combustion duration through a smoke sensor; and outputting a flame retardant performance report based on the morphology change data, the flame propagation data, and the smoke data of the first and second burn periods.
Description
Technical Field
The application relates to the technical field of flame retardant testing of clothing, in particular to a method and a system for detecting flame retardant performance of clothing and electronic equipment.
Background
With the progress of material science and the improvement of safety standard, the requirements for detecting the flame retardant property of clothing are more and more strict. Most of traditional flame-retardant testing methods are static tests, and it is difficult to comprehensively evaluate the flame-retardant effect of materials in actual complex environments.
How to realize the detection of the flame retardant property of the clothing in various complex environments is a technical problem which needs to be overcome by the person skilled in the art.
Disclosure of Invention
In order to solve the technical problems at least in departments, the application provides a method and a system for detecting flame retardant property of clothing and electronic equipment.
In a first aspect, the method for detecting flame retardant property of clothing provided by the application adopts the following technical scheme.
A method for detecting flame retardant property of clothing, comprising:
after a clothing sample to be tested is placed in a test bin, receiving flame retardant grade information input by a user;
obtaining a first flame retardant value and a second flame retardant value based on the flame retardant grade information; the first flame retardant value is the lower limit value of the flame retardant grade information; the second flame retardant value is the upper limit value of the flame retardant grade information;
Receiving a test environment instruction; matching environmental parameters based on the test environmental instructions; adjusting the temperature and humidity in the test bin based on the environmental parameters;
When the temperature and the humidity of the test bin reach the environmental parameters, controlling the combustion source to burn; controlling the combustion source to adjust a first fire level and a first fire distance based on the first flame retardation value and matching a first combustion duration; controlling the combustion source to adjust a second fire level and a second fire distance based on the second flame retardation value and matching a second combustion duration;
The combustion speed and the combustion direction are respectively adjusted by controlling the movement of a servo motor connected with the combustion source in the first combustion duration and the second combustion duration so as to simulate different fire source conditions;
Respectively acquiring images of the clothing sample to be tested when the first burning time length and the second burning time length are burnt; inputting the image into a pre-trained combustion analysis model to obtain morphological change data and flame propagation data in the combustion process;
Monitoring smoke data of the first combustion duration and the second combustion duration through a smoke sensor; and
And outputting a flame retardant performance report based on the morphological change data, the flame propagation data and the smoke data of the first burning duration and the second burning duration.
Optionally, after the temperature and humidity of the test bin reach the environmental parameters and the combustion source is controlled to burn, the method further comprises:
setting a plurality of temperature and humidity change situations through a temperature change model and a humidity change model so as to simulate fire environments in different stages; controlling the temperature and the humidity in the test bin respectively based on the set temperature change situation and the set humidity change situation;
The configuration method of the temperature change model and the humidity change model comprises the following steps:
Acquiring a plurality of historical fire data; the historical fire data comprise temperature data, humidity data and corresponding time stamps of various stages of fire development; the various stages include: initial stage, development stage, full-period and decay stage;
cleaning and arranging the historical fire data to remove abnormal values and fill up missing data;
Identifying a temperature change curve and a humidity change curve of each stage of fire development;
the temperature change curves of all the stages are respectively matched with corresponding temperature change models, and the humidity change curves of all the stages are respectively matched with corresponding humidity change models;
adding random disturbance items to each temperature change model and each humidity change model respectively to simulate natural fluctuation of environmental parameters;
Determining parameters of each temperature change model and each humidity change model by using a maximum likelihood estimation method through historical data;
And checking the confidence coefficient of the temperature change model and the humidity change model through cross verification, and obtaining the temperature change model and the humidity change model when the confidence coefficient is larger than a preset value.
Optionally, the matching of the temperature change curves of each stage to the corresponding temperature change model and the matching of the humidity change curves of each stage to the corresponding humidity change model respectively include:
matching a temperature initial change model; the initial temperature change model is as follows: Wherein, the method comprises the steps of, As the initial temperature at the beginning of the period,In order to be at the peak temperature,Is the growth rate constant; is the current temperature; t is the time length of the current stage;
matching a humidity initial change model; the humidity initial change model is as follows: Wherein, the method comprises the steps of, Is the initial humidity at the initial stage; Peak humidity; is the humidity rising speed; is the humidity drop rate; is the turning point moment; h is the current humidity;
matching a temperature development period change model; the temperature development period change model is as follows: ; is the initial temperature of the development period; Is a proportionality constant;
matching a humidity development period change model; the humidity development period change model is as follows: ； initial humidity for development period; Is a constant;
matching a full-life temperature change model; the full-life temperature change model is as follows: ; wherein, Is the temperature in the stable period;
matching a humidity full-life change model; the humidity full-life change model is as follows: ; wherein, Initial humidity for full bloom; n is the rate constant of humidity decrease;
matching a temperature decay period change model; the temperature decay period change model is as follows: ; wherein, Is the final temperature at the end of the fire; is the decay constant;
matching a humidity decay period change model; the humidity decay period change model is as follows: wherein, Is the final humidity at the end of the fire; a. b is a constant.
Optionally, adjusting the temperature in the test bin based on the environmental parameter includes:
Acquiring a temperature actual value fed back by a temperature sensor;
Calculating an error based on the actual temperature value and the target temperature value;
and calculating a control output through a PID algorithm and converting the control output into control information executed by the heating component.
Optionally, after monitoring the smoke data of the first combustion duration and the second combustion duration by the smoke sensor, the method further comprises:
monitoring the smoke concentration value in real time;
and when the smoke concentration value is larger than a preset safety value, controlling the combustion source to stop combustion and starting a fire extinguishing system in the test bin.
Optionally, outputting a flame retardant performance report based on the morphological change data, the flame propagation data, and the smoke data of the first combustion duration and the second combustion duration includes:
respectively analyzing the morphological changes of the clothing sample under the first burning time period and the second burning time period; the morphological changes include; melting, shrinking and carbonizing;
respectively analyzing whether the clothing sample forms a continuous combustion surface under the first combustion duration and the second combustion duration;
respectively analyzing the peak time and the concentration of the smoke concentration of the clothing sample under the first burning duration and the second burning duration based on the smoke data;
the flame retardant performance of the garment sample at the first and second burn durations is comprehensively scored based on the morphology change, flame propagation, and smoke data.
Optionally, analyzing the morphological changes of the clothing samples respectively includes:
Acquiring an image sequence of a clothing sample in a combustion process;
preprocessing the image sequence, including gray scale conversion, noise removal, and edge enhancement;
Identifying a melting region by adopting an image segmentation technology, and calculating the area and the position of the melting region;
comparing the sizes of the garment samples before and after combustion, and determining the shrinkage degree of the samples;
Identifying a carbonized region using a threshold segmentation or a machine learning classifier;
Estimating a rate of morphological changes by comparing differences between successive image frames;
analyzing the time sequence of melting, shrinkage and carbonization phenomena, and drawing a change curve;
The degree of morphological change is statistically analyzed, including the average value and standard deviation of the melting area, shrinkage ratio and carbonization area;
the location and extent of melting, shrinkage and carbonization phenomena are identified.
Optionally, analyzing whether the clothing sample forms a continuous combustion surface, respectively, includes: acquiring an image sequence of a clothing sample in a combustion process;
Identifying flame boundaries and combustion areas of each frame in the video by adopting an image segmentation technology;
Tracking the propagation path of the flame on the sample by using a tracking algorithm, and recording the propagation speed and direction of the flame;
The flame propagation path is analyzed, the starting and ending points of combustion are determined, and the total area covered by the flame is determined to determine whether a continuous combustion surface is formed.
In a second aspect, the application provides a clothing flame retardant property detection system, which adopts the following technical scheme.
A garment flame retardant property detection system, comprising:
A first processing module for: after a clothing sample to be tested is placed in a test bin, receiving flame retardant grade information input by a user;
a second processing module for: obtaining a first flame retardant value and a second flame retardant value based on the flame retardant grade information; the first flame retardant value is the lower limit value of the flame retardant grade information; the second flame retardant value is the upper limit value of the flame retardant grade information;
A third processing module for: receiving a test environment instruction; matching environmental parameters based on the test environmental instructions; adjusting the temperature and humidity in the test bin based on the environmental parameters;
A fourth processing module for: when the temperature and the humidity of the test bin reach the environmental parameters, controlling the combustion source to burn; controlling the combustion source to adjust a first fire level and a first fire distance based on the first flame retardation value and matching a first combustion duration; controlling the combustion source to adjust a second fire level and a second fire distance based on the second flame retardation value and matching a second combustion duration;
A fifth processing module for: the combustion speed and the combustion direction are respectively adjusted by controlling the movement of a servo motor connected with the combustion source in the first combustion duration and the second combustion duration so as to simulate different fire source conditions;
A sixth processing module for: respectively acquiring images of the clothing sample to be tested when the first burning time length and the second burning time length are burnt; inputting the image into a pre-trained combustion analysis model to obtain morphological change data and flame propagation data in the combustion process;
A seventh processing module, configured to: monitoring smoke data of the first combustion duration and the second combustion duration through a smoke sensor;
An eighth processing module for: and outputting a flame retardant performance report based on the morphological change data, the flame propagation data and the smoke data of the first burning duration and the second burning duration.
In a third aspect, the application discloses an electronic device comprising a memory and a processor, the memory having stored thereon a computer program to be loaded by the processor and to perform any of the methods described above.
In a fourth aspect, the present application discloses a computer readable storage medium storing a computer program capable of being loaded by a processor and performing any of the methods described above.
Drawings
FIG. 1 is a flow chart of a method for detecting flame retardant property of a garment according to an embodiment of the application;
FIG. 2 is a system block diagram of a method for detecting flame retardant performance of a garment according to an embodiment of the application;
In the figure, 201, a first processing module; 202. a second processing module; 203. a third processing module; 204. a fourth processing module; 205. a fifth processing module; 206. 207, seventh processing module; 208. and an eighth processing module.
Detailed Description
The application is further illustrated by the following description of the embodiments in conjunction with the accompanying figures 1-2:
first, what needs to be described here is: in the description of the present application, terms such as "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," "outer," and the like are used for convenience of description only as regards orientation or positional relationship as shown in the accompanying drawings, and do not denote or imply that the apparatus or element in question must have a particular orientation, be constructed and operated in a particular orientation, and thus should not be construed as limiting the present application; moreover, the numerical terms such as the terms "first," "second," "third," etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. In addition, unless explicitly stated or limited otherwise, the terms "mounted," "connected," and "connected" should be construed broadly, and may be, for example, a fixed connection, a releasable connection, an interference fit, a transition fit, or an integral connection; can be directly connected or indirectly connected through an intermediate medium; the specific meaning of the above terms in the present application will be understood by those skilled in the art according to the specific circumstances.
The embodiment of the application discloses a method for detecting flame retardant property of clothing. Referring to fig. 1, as an embodiment of a method for detecting flame retardant property of clothing, a method for detecting flame retardant property of clothing includes the steps of:
step S101, after a clothing sample to be tested is placed in a test bin, receiving flame retardant grade information input by a user.
Step S102, obtaining a first flame retardant value and a second flame retardant value based on the flame retardant grade information; the first flame retardant value is the lower limit value of the flame retardant grade information; and the second flame retardant value is the upper limit value of the flame retardant grade information.
Step S103, receiving a test environment instruction; matching environmental parameters based on the test environmental instructions; and adjusting the temperature and the humidity in the test bin based on the environmental parameters.
Step S104, when the temperature and the humidity of the test bin reach the environmental parameters, controlling combustion of a combustion source; controlling the combustion source to adjust a first fire level and a first fire distance based on the first flame retardation value and matching a first combustion duration; and controlling the combustion source to adjust a second fire level and a second fire distance based on the second flame retardation value and matching a second combustion duration.
Step 105, in the first combustion duration and the second combustion duration, the combustion speed and the combustion direction are respectively adjusted by controlling the movement of the servo motor connected with the combustion source so as to simulate different fire source conditions.
Step S106, respectively acquiring images of the clothing sample to be tested when the clothing sample burns in the first burning time period and the second burning time period; inputting the images into a pre-trained combustion analysis model to obtain morphological change data and flame propagation data in the combustion process.
Step S107, monitoring smoke data of the first combustion duration and the second combustion duration through a smoke sensor.
And S108, outputting a flame retardant performance report based on the morphological change data, the flame propagation data and the smoke data of the first combustion duration and the second combustion duration.
Specifically, the system automatically acquires a corresponding flame-retardant value range through flame-retardant grade information input by a user; by matching the test environment instruction, the system can accurately adjust the temperature and humidity in the test bin, simulate the target environment condition, ensure the environment consistency of the flame retardant property test, and further improve the reliability of the result; the fire level, the fire source distance and the burning time length are adjusted based on the flame retardant value, so that different fire source conditions are simulated, the burning speed and the burning direction are controlled through the servo motor, the testing flexibility is improved, and the performance of the material under various fire scenes can be evaluated; by setting the first combustion duration and the second combustion duration to respectively correspond to the lower limit and the upper limit of the flame retardant value, the flame retardant performance of the material under the condition from slight fire to severe fire can be comprehensively evaluated; the images in the combustion process are processed by utilizing a pre-trained combustion analysis model, so that the morphological change and flame propagation data can be objectively and rapidly extracted, the subjectivity of manual interpretation is reduced, and the analysis efficiency and accuracy are improved; the smoke data is monitored through the smoke sensor, and the morphological change and flame propagation data are combined, so that multi-dimensional flame retardant performance evaluation is provided, and the comprehensiveness and depth of the report are enhanced.
As a specific embodiment of the method for detecting flame retardant performance of clothing, after the temperature and humidity of the test bin reach the environmental parameters and the combustion source is controlled to burn, the method further comprises:
setting a plurality of temperature and humidity change situations through a temperature change model and a humidity change model so as to simulate fire environments in different stages; controlling the temperature and the humidity in the test bin respectively based on the set temperature change situation and the set humidity change situation;
The configuration method of the temperature change model and the humidity change model comprises the following steps:
Acquiring a plurality of historical fire data; the historical fire data comprise temperature data, humidity data and corresponding time stamps of various stages of fire development; the various stages include: initial stage, development stage, full-period and decay stage;
cleaning and arranging the historical fire data to remove abnormal values and fill up missing data;
Identifying a temperature change curve and a humidity change curve of each stage of fire development;
the temperature change curves of all the stages are respectively matched with corresponding temperature change models, and the humidity change curves of all the stages are respectively matched with corresponding humidity change models;
adding random disturbance items to each temperature change model and each humidity change model respectively to simulate natural fluctuation of environmental parameters;
Determining parameters of each temperature change model and each humidity change model by using a maximum likelihood estimation method through historical data;
And checking the confidence coefficient of the temperature change model and the humidity change model through cross verification, and obtaining the temperature change model and the humidity change model when the confidence coefficient is larger than a preset value.
Specifically, the change rule of the temperature and the humidity in each stage of fire development is identified through cleaning, arrangement and analysis of historical fire data; determining model parameters by using a maximum likelihood estimation method, and checking the confidence coefficient of the model through cross verification; adding random disturbance items into the model to simulate natural fluctuation of environmental parameters; by setting a plurality of temperature and humidity change situations and simulating environmental conditions in different fire development stages, the flame retardant performance of the garment can be comprehensively evaluated from the initial stage to the decay stage, and the testing limitation under a single condition is avoided. And automatically controlling the temperature and the humidity in the test bin based on the established temperature change model and humidity change model.
According to the specific embodiment, the temperature change model and the humidity change model based on the historical fire data are constructed and applied, so that the fire environment is accurately simulated, and the comprehensiveness of the flame retardant performance detection of the garment is remarkably improved.
As a specific implementation mode of the clothing flame retardant property detection method, the method for respectively matching the temperature change curves of all stages with the corresponding temperature change models and respectively matching the humidity change curves of all stages with the corresponding humidity change models comprises the following steps:
matching a temperature initial change model; the initial temperature change model is as follows: Wherein, the method comprises the steps of, As the initial temperature at the beginning of the period,In order to be at the peak temperature,Is the growth rate constant; is the current temperature; t is the time length of the current stage;
matching a humidity initial change model; the humidity initial change model is as follows: Wherein, the method comprises the steps of, Is the initial humidity at the initial stage; Peak humidity; is the humidity rising speed; is the humidity drop rate; is the turning point moment; h is the current humidity;
matching a temperature development period change model; the temperature development period change model is as follows: ; is the initial temperature of the development period; Is a proportionality constant;
matching a humidity development period change model; the humidity development period change model is as follows: ； initial humidity for development period; Is a constant;
matching a full-life temperature change model; the full-life temperature change model is as follows: ; wherein, Is the temperature in the stable period;
matching a humidity full-life change model; the humidity full-life change model is as follows: ; wherein, Initial humidity for full bloom; n is the rate constant of humidity decrease;
matching a temperature decay period change model; the temperature decay period change model is as follows: ; wherein, Is the final temperature at the end of the fire; is the decay constant;
matching a humidity decay period change model; the humidity decay period change model is as follows: ; wherein, Is the final humidity at the end of the fire; a. b is a constant.
Specifically, the temperature initial change model and the humidity initial change model can accurately capture the rapid change characteristics of the temperature and the humidity at the initial stage of a fire, particularly the exponential increase of the temperature and the rising and falling of the humidity. The temperature development period change model and the humidity development period change model reflect the trend of gradual temperature rise and gradual humidity drop in the fire development through the application of logarithmic and exponential functions. The temperature full-period change model and the humidity full-period change model can simulate the characteristics of temperature stability and rapid humidity reduction when the fire reaches the highest intensity. The temperature decay period change model and the humidity decay period change model accurately depict the recovery process of temperature and humidity after fire disaster is ended through exponential decay and a secondary growth function.
By testing under the temperature and humidity change environments of different fire development stages, the flame retardant performance of the garment can be evaluated from multiple dimensions of initial reaction, development adaptation, full-life resistance, decay recovery and the like.
As a specific embodiment of the method for detecting flame retardant performance of clothing, adjusting the temperature in the test bin based on the environmental parameter includes:
Acquiring a temperature actual value fed back by a temperature sensor;
Calculating an error based on the actual temperature value and the target temperature value;
and calculating a control output through a PID algorithm and converting the control output into control information executed by the heating component.
As one embodiment of the method for detecting flame retardant performance of clothing, after monitoring the smoke data of the first combustion duration and the second combustion duration by the smoke sensor, the method further includes:
monitoring the smoke concentration value in real time;
and when the smoke concentration value is larger than a preset safety value, controlling the combustion source to stop combustion and starting a fire extinguishing system in the test bin.
As one embodiment of the method for detecting flame retardant performance of clothing, outputting a flame retardant performance report based on the morphological change data, flame propagation data and smoke data of the first combustion duration and the second combustion duration, including:
respectively analyzing the morphological changes of the clothing sample under the first burning time period and the second burning time period; the morphological changes include; melting, shrinking and carbonizing;
respectively analyzing whether the clothing sample forms a continuous combustion surface under the first combustion duration and the second combustion duration;
respectively analyzing the peak time and the concentration of the smoke concentration of the clothing sample under the first burning duration and the second burning duration based on the smoke data;
the flame retardant performance of the garment sample at the first and second burn durations is comprehensively scored based on the morphology change, flame propagation, and smoke data.
As one embodiment of a method for detecting flame retardant performance of clothing, the method for analyzing morphological changes of clothing samples respectively includes:
Acquiring an image sequence of a clothing sample in a combustion process;
preprocessing the image sequence, including gray scale conversion, noise removal, and edge enhancement;
Identifying a melting region by adopting an image segmentation technology, and calculating the area and the position of the melting region;
comparing the sizes of the garment samples before and after combustion, and determining the shrinkage degree of the samples;
Identifying a carbonized region using a threshold segmentation or a machine learning classifier;
Estimating a rate of morphological changes by comparing differences between successive image frames;
analyzing the time sequence of melting, shrinkage and carbonization phenomena, and drawing a change curve;
The degree of morphological change is statistically analyzed, including the average value and standard deviation of the melting area, shrinkage ratio and carbonization area;
the location and extent of melting, shrinkage and carbonization phenomena are identified.
Specifically, through the whole monitoring of the combustion process and the acquisition of an image sequence, the preprocessing means such as gray level conversion, noise removal, edge enhancement and the like are combined to eliminate the ambient light interference, reduce the image noise and enhance the contrast of key features. The melting area is automatically identified by adopting an image segmentation technology, the area and the position of the melting area are calculated, and the melting degree of the heated material can be accurately measured. By comparing the sizes of the clothing samples before and after combustion, the shrinkage degree of the samples can be accurately measured, and the carbonization region is identified by using a threshold segmentation or machine learning classifier, so that the detection efficiency is improved. By comparing the differences between successive image frames, the rate of morphological changes can be estimated. The time sequence of melting, shrinkage and carbonization phenomena is analyzed, a change curve is drawn, and the state evolution of the material in the combustion process can be intuitively displayed. The high-precision identification and quantitative analysis of the form change of the clothing sample in the combustion process are realized.
As one embodiment of a method for detecting flame retardant performance of clothing, analyzing whether clothing samples form continuous combustion surfaces, respectively, includes: acquiring an image sequence of a clothing sample in a combustion process;
Identifying flame boundaries and combustion areas of each frame in the video by adopting an image segmentation technology;
Tracking the propagation path of the flame on the sample by using a tracking algorithm, and recording the propagation speed and direction of the flame;
The flame propagation path is analyzed, the starting and ending points of combustion are determined, and the total area covered by the flame is determined to determine whether a continuous combustion surface is formed.
The application also provides a clothing flame retardant property detection system, which comprises:
a first processing module 201, configured to: after a clothing sample to be tested is placed in a test bin, receiving flame retardant grade information input by a user;
A second processing module 202 for: obtaining a first flame retardant value and a second flame retardant value based on the flame retardant grade information; the first flame retardant value is the lower limit value of the flame retardant grade information; the second flame retardant value is the upper limit value of the flame retardant grade information;
A third processing module 203, configured to: receiving a test environment instruction; matching environmental parameters based on the test environmental instructions; adjusting the temperature and humidity in the test bin based on the environmental parameters;
A fourth processing module 204 for: when the temperature and the humidity of the test bin reach the environmental parameters, controlling the combustion source to burn; controlling the combustion source to adjust a first fire level and a first fire distance based on the first flame retardation value and matching a first combustion duration; controlling the combustion source to adjust a second fire level and a second fire distance based on the second flame retardation value and matching a second combustion duration;
A fifth processing module 205, configured to: the combustion speed and the combustion direction are respectively adjusted by controlling the movement of a servo motor connected with the combustion source in the first combustion duration and the second combustion duration so as to simulate different fire source conditions;
A sixth processing module 206, configured to: respectively acquiring images of the clothing sample to be tested when the first burning time length and the second burning time length are burnt; inputting the image into a pre-trained combustion analysis model to obtain morphological change data and flame propagation data in the combustion process;
a seventh processing module 207 for: monitoring smoke data of the first combustion duration and the second combustion duration through a smoke sensor;
an eighth processing module 208, configured to: and outputting a flame retardant performance report based on the morphological change data, the flame propagation data and the smoke data of the first burning duration and the second burning duration.
The embodiment of the application also discloses electronic equipment.
Specifically, the device comprises a memory and a processor, wherein the memory stores a computer program which can be loaded by the processor and execute any one of the clothing flame retardant property detection methods.
The embodiment of the application also discloses a computer readable storage medium. Specifically, the computer readable storage medium stores a computer program capable of being loaded by a processor and executing any one of the clothing flame retardant property detection methods described above, the computer readable storage medium including, for example: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
It should be noted that: although the present application has been described in detail with reference to the above embodiments, it should be understood by those skilled in the art that the present application may be modified or equivalent thereto without departing from the spirit and scope of the application, and all such modifications and improvements thereof are intended to be included within the scope of the appended claims.
Claims (8)
1. A method for detecting flame retardant properties of a garment, comprising:
after a clothing sample to be tested is placed in a test bin, receiving flame retardant grade information input by a user;
obtaining a first flame retardant value and a second flame retardant value based on the flame retardant grade information; the first flame retardant value is the lower limit value of the flame retardant grade information; the second flame retardant value is the upper limit value of the flame retardant grade information;
Receiving a test environment instruction; matching environmental parameters based on the test environmental instructions; adjusting the temperature and humidity in the test bin based on the environmental parameters;
When the temperature and the humidity of the test bin reach the environmental parameters, controlling the combustion source to burn; controlling the combustion source to adjust a first fire level and a first fire distance based on the first flame retardation value and matching a first combustion duration; controlling the combustion source to adjust a second fire level and a second fire distance based on the second flame retardation value and matching a second combustion duration;
The combustion speed and the combustion direction are respectively adjusted by controlling the movement of a servo motor connected with the combustion source in the first combustion duration and the second combustion duration so as to simulate different fire source conditions;
Respectively acquiring images of the clothing sample to be tested when the first burning time length and the second burning time length are burnt; inputting the image into a pre-trained combustion analysis model to obtain morphological change data and flame propagation data in the combustion process;
Monitoring smoke data of the first combustion duration and the second combustion duration through a smoke sensor; and
Outputting a flame retardant performance report based on the morphological change data, flame propagation data and smoke data of the first combustion duration and the second combustion duration;
After the temperature and humidity of the test bin reach the environmental parameters and the combustion source is controlled to burn, the method further comprises:
setting a plurality of temperature and humidity change situations through a temperature change model and a humidity change model so as to simulate fire environments in different stages; controlling the temperature and the humidity in the test bin respectively based on the set temperature change situation and the set humidity change situation;
The configuration method of the temperature change model and the humidity change model comprises the following steps:
Acquiring a plurality of historical fire data; the historical fire data comprise temperature data, humidity data and corresponding time stamps of various stages of fire development; the various stages include: initial stage, development stage, full-period and decay stage;
cleaning and arranging the historical fire data to remove abnormal values and fill up missing data;
Identifying a temperature change curve and a humidity change curve of each stage of fire development;
the temperature change curves of all the stages are respectively matched with corresponding temperature change models, and the humidity change curves of all the stages are respectively matched with corresponding humidity change models;
adding random disturbance items to each temperature change model and each humidity change model respectively to simulate natural fluctuation of environmental parameters;
Determining parameters of each temperature change model and each humidity change model by using a maximum likelihood estimation method through historical data;
The confidence degrees of the temperature change model and the humidity change model are checked through cross verification, and when the confidence degrees are larger than a preset value, the temperature change model and the humidity change model are obtained; the method for respectively matching the temperature change curves of each stage with the corresponding temperature change model and respectively matching the humidity change curves of each stage with the corresponding humidity change model comprises the following steps:
matching a temperature initial change model; the initial temperature change model is as follows: Wherein, the method comprises the steps of, As the initial temperature at the beginning of the period,In order to be at the peak temperature,Is the growth rate constant; is the current temperature; t is the time length of the current stage;
matching a humidity initial change model; the humidity initial change model is as follows: Wherein, the method comprises the steps of, Is the initial humidity at the initial stage; Peak humidity; is the humidity rising speed; is the humidity drop rate; is the turning point moment; h is the current humidity;
matching a temperature development period change model; the temperature development period change model is as follows: is the initial temperature of the development period; Is a proportionality constant;
matching a humidity development period change model; the humidity development period change model is as follows: ； initial humidity for development period; Is a constant;
matching a full-life temperature change model; the full-life temperature change model is as follows: ; wherein, Is the temperature in the stable period;
matching a humidity full-life change model; the humidity full-life change model is as follows: ; wherein, Initial humidity for full bloom; n is the rate constant of humidity decrease;
matching a temperature decay period change model; the temperature decay period change model is as follows: ; wherein, Is the final temperature at the end of the fire; is the decay constant;
matching a humidity decay period change model; the humidity decay period change model is as follows: ; wherein, Is the final humidity at the end of the fire; a. b is a constant.
2. The method of claim 1, wherein adjusting the temperature within the test bin based on the environmental parameter comprises:
Acquiring a temperature actual value fed back by a temperature sensor;
Calculating an error based on the actual temperature value and the target temperature value;
and calculating a control output through a PID algorithm and converting the control output into control information executed by the heating component.
3. The method of claim 2, wherein after monitoring the smoke data of the first and second durations of combustion by the smoke sensor, the method further comprises:
monitoring the smoke concentration value in real time;
and when the smoke concentration value is larger than a preset safety value, controlling the combustion source to stop combustion and starting a fire extinguishing system in the test bin.
4. A method of detecting flame retardant properties of a garment according to claim 3, wherein outputting a flame retardant property report based on the morphological change data, flame propagation data and smoke data of the first and second durations of combustion comprises:
respectively analyzing the morphological changes of the clothing sample under the first burning time period and the second burning time period; the morphological changes include; melting, shrinking and carbonizing;
respectively analyzing whether the clothing sample forms a continuous combustion surface under the first combustion duration and the second combustion duration;
respectively analyzing the peak time and the concentration of the smoke concentration of the clothing sample under the first burning duration and the second burning duration based on the smoke data;
the flame retardant performance of the garment sample at the first and second burn durations is comprehensively scored based on the morphology change, flame propagation, and smoke data.
5. The method for detecting flame retardant property of clothing according to claim 4, wherein the analysis of the morphological changes of the clothing sample respectively comprises:
Acquiring an image sequence of a clothing sample in a combustion process;
preprocessing the image sequence, including gray scale conversion, noise removal, and edge enhancement;
Identifying a melting region by adopting an image segmentation technology, and calculating the area and the position of the melting region;
comparing the sizes of the garment samples before and after combustion, and determining the shrinkage degree of the samples;
Identifying a carbonized region using a threshold segmentation or a machine learning classifier;
Estimating a rate of morphological changes by comparing differences between successive image frames;
analyzing the time sequence of melting, shrinkage and carbonization phenomena, and drawing a change curve;
The degree of morphological change is statistically analyzed, including the average value and standard deviation of the melting area, shrinkage ratio and carbonization area;
the location and extent of melting, shrinkage and carbonization phenomena are identified.
6. The method for detecting flame retardant property of clothing according to claim 5, wherein analyzing whether the clothing sample forms a continuous combustion surface comprises: acquiring an image sequence of a clothing sample in a combustion process;
Identifying flame boundaries and combustion areas of each frame in the video by adopting an image segmentation technology;
Tracking the propagation path of the flame on the sample by using a tracking algorithm, and recording the propagation speed and direction of the flame;
The flame propagation path is analyzed, the starting and ending points of combustion are determined, and the total area covered by the flame is determined to determine whether a continuous combustion surface is formed.
7. A garment flame retardant property detection system, comprising:
A first processing module for: after a clothing sample to be tested is placed in a test bin, receiving flame retardant grade information input by a user;
a second processing module for: obtaining a first flame retardant value and a second flame retardant value based on the flame retardant grade information; the first flame retardant value is the lower limit value of the flame retardant grade information; the second flame retardant value is the upper limit value of the flame retardant grade information;
A third processing module for: receiving a test environment instruction; matching environmental parameters based on the test environmental instructions; adjusting the temperature and humidity in the test bin based on the environmental parameters;
A fourth processing module for: when the temperature and the humidity of the test bin reach the environmental parameters, controlling the combustion source to burn; controlling the combustion source to adjust a first fire level and a first fire distance based on the first flame retardation value and matching a first combustion duration; controlling the combustion source to adjust a second fire level and a second fire distance based on the second flame retardation value and matching a second combustion duration;
A fifth processing module for: the combustion speed and the combustion direction are respectively adjusted by controlling the movement of a servo motor connected with the combustion source in the first combustion duration and the second combustion duration so as to simulate different fire source conditions;
A sixth processing module for: respectively acquiring images of the clothing sample to be tested when the first burning time length and the second burning time length are burnt; inputting the image into a pre-trained combustion analysis model to obtain morphological change data and flame propagation data in the combustion process;
A seventh processing module, configured to: monitoring smoke data of the first combustion duration and the second combustion duration through a smoke sensor;
An eighth processing module for: outputting a flame retardant performance report based on the morphological change data, flame propagation data and smoke data of the first combustion duration and the second combustion duration;
after the temperature and the humidity of the test bin reach the environmental parameters and the combustion source is controlled to burn, the method further comprises the following steps:
setting a plurality of temperature and humidity change situations through a temperature change model and a humidity change model so as to simulate fire environments in different stages; controlling the temperature and the humidity in the test bin respectively based on the set temperature change situation and the set humidity change situation;
The configuration method of the temperature change model and the humidity change model comprises the following steps:
Acquiring a plurality of historical fire data; the historical fire data comprise temperature data, humidity data and corresponding time stamps of various stages of fire development; the various stages include: initial stage, development stage, full-period and decay stage;
cleaning and arranging the historical fire data to remove abnormal values and fill up missing data;
Identifying a temperature change curve and a humidity change curve of each stage of fire development;
the temperature change curves of all the stages are respectively matched with corresponding temperature change models, and the humidity change curves of all the stages are respectively matched with corresponding humidity change models;
adding random disturbance items to each temperature change model and each humidity change model respectively to simulate natural fluctuation of environmental parameters;
Determining parameters of each temperature change model and each humidity change model by using a maximum likelihood estimation method through historical data;
The confidence degrees of the temperature change model and the humidity change model are checked through cross verification, and when the confidence degrees are larger than a preset value, the temperature change model and the humidity change model are obtained;
The method for respectively matching the temperature change curves of each stage with the corresponding temperature change model and respectively matching the humidity change curves of each stage with the corresponding humidity change model comprises the following steps:
matching a temperature initial change model; the initial temperature change model is as follows: Wherein, the method comprises the steps of, As the initial temperature at the beginning of the period,In order to be at the peak temperature,Is the growth rate constant; is the current temperature; t is the time length of the current stage;
matching a humidity initial change model; the humidity initial change model is as follows: Wherein, the method comprises the steps of, Is the initial humidity at the initial stage; Peak humidity; is the humidity rising speed; is the humidity drop rate; is the turning point moment; h is the current humidity;
matching a temperature development period change model; the temperature development period change model is as follows: ； is the initial temperature of the development period; Is a proportionality constant;
matching a humidity development period change model; the humidity development period change model is as follows: ； initial humidity for development period; Is a constant;
matching a full-life temperature change model; the full-life temperature change model is as follows: ; wherein, Is the temperature in the stable period;
matching a humidity full-life change model; the humidity full-life change model is as follows: ; wherein, Initial humidity for full bloom; n is the rate constant of humidity decrease;
matching a temperature decay period change model; the temperature decay period change model is as follows: ; wherein, Is the final temperature at the end of the fire; is the decay constant;
matching a humidity decay period change model; the humidity decay period change model is as follows: ; wherein, Is the final humidity at the end of the fire; a. b is a constant.
8. An electronic device comprising a memory and a processor, the memory having stored thereon a computer program for loading and executing by the processor the method of any of claims 1 to 5.
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| CN113771454B (en) * | 2021-08-24 | 2023-09-15 | 四川豪尔泰服饰有限公司 | Flame-retardant composite fabric and preparation method thereof |
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| CN102433631A (en) * | 2011-09-15 | 2012-05-02 | 际华三五零九纺织有限公司 | Production of 40 from an Avermenta flame-retardant fibersMethod for siro spinning |
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