CN115254666A - Online detection system is used in rock wool board production - Google Patents

Online detection system is used in rock wool board production Download PDF

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Publication number
CN115254666A
CN115254666A CN202210864191.0A CN202210864191A CN115254666A CN 115254666 A CN115254666 A CN 115254666A CN 202210864191 A CN202210864191 A CN 202210864191A CN 115254666 A CN115254666 A CN 115254666A
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module
temperature
threshold value
rock wool
management system
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范伟
王智伟
文礼
冯家玉
沈佳佳
罗宇恒
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Anhui Ruilian Energy Saving Technology Co ltd
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Anhui Ruilian Energy Saving Technology Co ltd
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B07SEPARATING SOLIDS FROM SOLIDS; SORTING
    • B07CPOSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
    • B07C5/00Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
    • B07C5/34Sorting according to other particular properties

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Abstract

The invention discloses an online detection system for rock wool board production, which relates to the technical field of rock wool board production detection.

Description

Online detection system is used in rock wool board production
Technical Field
The invention belongs to the technical field of rock wool board production and detection, and particularly relates to an online detection system for rock wool board production.
Background
The artificial inorganic fiber is processed by high-temperature melting of the rock wool board, has the characteristics of light weight, small heat conductivity coefficient, heat absorption and non-combustion, and is originally developed in buildings, and is commonly used in industrial buildings.
Disclosure of Invention
The present invention is directed to at least solving the problems of the prior art; therefore, the invention provides an online detection system for rock wool board production, which is used for solving the technical problem that the overall detection result is deviated due to the influence of external temperature on a rock wool board body in the process of detecting the heat conductivity value.
In order to achieve the above object, an embodiment according to a first aspect of the present invention provides an online detection system for rock wool board production, including a background management system, a data acquisition system, a detection and calculation module, and a threshold comparison platform, wherein an output end of the background management system is bidirectionally connected to an input end of the data acquisition system, an output end of the data acquisition system is connected to an input end of the detection and calculation module, an output end of the detection and calculation module is connected to an input end of the threshold comparison platform, an output end of the threshold comparison platform is connected to an input end of the background management system, an output end of the data acquisition system is connected to an input end of an experiment module, the experiment module includes a rock wool board temperature module, an external temperature controllable module, a heat release module, and a material thickness, and the experiment module performs simulation operations on experiment data as follows:
s1, measuring the temperature of a rock wool board to be T1, measuring the external temperature to be T2, measuring the applied temperature to be T3, and measuring the thickness of the rock wool board to be d, wherein the temperature unit is centigrade;
s1, setting the temperature of a rock wool board as T1, setting an external temperature meter as T2 and setting an application temperature meter as T3, wherein the temperature unit is in centigrade degree;
step S2, dividing one day into 24 time intervals according to the time intervals, wherein the time interval from zero to one point is a first time interval, the temperature mark measured in the time interval is Y1, and the temperature marks in all the time intervals are sequentially Y1.. Y24 in the same way;
s3, removing the values of the minimum temperature Ymin and the maximum temperature Ymin from the temperatures measured in all time periods, and then calculating the average value Ta of the temperatures in the rest time periods;
step S4, utilizing a calculation formula
Figure BDA0003757576140000021
Calculating to obtain a temperature influence factor delta, wherein the temperature of Ta can be calculated according to temperatures at different time intervals in a day;
s5, calculating the transferred heat quantity as Q, calculating the temperature difference between the external temperature T2 and the rock wool board T1 as delta T, and substituting the temperature influence factor obtained by calculation in the step S2 into a formula
Figure BDA0003757576140000022
Calculating to obtain the value of the thermal conductivity coefficient K;
the comparison mode in the step 3 is as follows:
step SS31, comparing the calculated value of the thermal conductivity coefficient K with a threshold value comparison platform, wherein the threshold value set in the threshold value comparison platform is 0.5;
step SS32, if the value of the thermal conductivity coefficient K is larger than a set threshold value of 0.5, sending an instruction to the device to send out a warning, then transmitting the instruction to a background management system, and then sending an instruction to a selection module to select unqualified rock wool boards;
and SS33, if the value of the thermal conductivity coefficient K is smaller than the set threshold value of 0.5, the qualified product threshold value module directly sends an instruction to a background management system, and the rock wool board is conveyed by using a selection module.
Preferably, the background management system comprises a temperature regulation module, a cross-sectional area control module and a selection module.
Preferably, the threshold comparison platform comprises a product threshold qualified module and a product threshold qualified module, the output end of the product threshold qualified module is connected with the input end of the background management system, the output end of the product threshold qualified module is connected with the output end of the background management system, and the output end of the product threshold qualified module is connected with the input end of the background management system.
Preferably, the selecting module is connected with the selecting device, and the selecting device is wirelessly connected with the background management system.
Compared with the prior art, the invention has the beneficial effects that: the temperature that utilizes in the experiment module to place the environment through the experiment module that sets up regulates and control the module and come to carry out different simulations to the temperature of locating the environment to calculate relative temperature influence factor, further will calculate the temperature influence factor that will calculate and bring into the formula and calculate, thereby guaranteed the precision of calculation, avoid the temperature under different environment to cause the influence to calculating last result, further cause the influence to holistic product quality.
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FIG. 1 is a schematic block diagram of a detection system of the present invention;
FIG. 2 is a functional block diagram of the background management system of the present invention;
FIG. 3 is a schematic block diagram of an experimental module of the present invention;
FIG. 4 is a functional block diagram of a threshold comparison platform of the present invention.
In the figure: 1. a background management system; 11. a temperature regulation module; 12. a cross-sectional area control module; 13. a thermal time control module; 14. a selection module; 2. a data acquisition system; 3. an experiment module; 31. a rock wool board temperature module; 32. an external controllable temperature module; 33. a heat releasing module; 34. the thickness of the material; 4. a detection calculation module; 5. a threshold comparison platform; 51. a qualified product threshold module; 52. a product threshold disqualification module; 53. and an alarm module.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Please refer to fig. 1-4, the application provides an online detection system for rock wool board production, including background management system 1, data acquisition system 2, detection calculation module 4 and threshold value comparison platform 5, which is characterized in that, the output of background management system 1 and the input of data acquisition system 2 are connected in both directions, and the output of data acquisition system 2 is connected with the input of detection calculation module 4, the output of detection calculation module 4 is connected with the input of threshold value comparison platform 5, and the output of threshold value comparison platform 5 is connected with the input of background management system 1, the output of data acquisition system 2 is connected with the input of experiment module 3, experiment module 3 includes rock wool board temperature module 31, external controllable temperature module 32, release heat module 33 and material thickness 34, the step of performing simulation operation on experiment data in experiment module 3 is as follows:
step S1, setting the temperature of the rock wool board as T1, setting the external temperature as T2 and setting the applied temperature as T3, wherein the temperature unit is centigrade degree;
s2, dividing a day into 24 time intervals according to the time intervals, wherein the time interval from zero to one point is a first time interval, the temperature measured in the time interval is marked as Y1, and the temperature marks in all the time intervals are sequentially Y1.. Y24 by analogy;
s3, removing the values of the minimum temperature Ymin and the maximum temperature Ymin from the temperatures measured in all time periods, and then calculating the average value Ta of the temperatures in the remaining time periods;
step S4, utilizing a calculation formula
Figure BDA0003757576140000041
Calculating to obtain a temperature influence factor delta, wherein the temperature of Ta can be calculated according to temperatures at different time intervals in a day;
step S5, calculating the transferred heat quantity as Q, the external temperature T2 and rockThe temperature difference between the cotton boards T1 is measured as delta T, and the temperature influence factor calculated in the step S2 is substituted into a formula
Figure BDA0003757576140000051
Calculating to obtain the value of the thermal conductivity coefficient K;
the comparison in step 3 is as follows:
step SS31, comparing the calculated value of the thermal conductivity coefficient K with a threshold value comparison platform 5, wherein the threshold value set in the threshold value comparison platform is 0.5;
step SS32, if the value of the thermal conductivity coefficient K is larger than the set threshold value of 0.5, 52 sending an instruction to 53 to send out a warning, then sending the instruction to the background management system 1, and then sending an instruction to the selection module 14 to select the unqualified rock wool boards;
and SS33, if the value of the thermal conductivity coefficient K is smaller than the set threshold value of 0.5, the product threshold value qualified module 51 directly sends an instruction to the background management system 1, and the rock wool board is conveyed by the selection module 14.
Preferably, the background management system 1 includes a temperature regulation module 11, a cross-sectional area control module 12, a cross-sectional area control module 13, and a selection module 14.
Preferably, the threshold comparison platform 5 includes qualified product threshold modules 51, 52 and 53, an output end of the qualified product threshold module 51 is connected with an input end of the background management system 1, an output end of the qualified product threshold module 51 is connected with 52, an output end of 52 is connected with 53, and an output end of 53 is connected with an input end of the background management system 1.
Preferably, the selecting module 14 is connected with a selecting device, and the selecting device is wirelessly connected with the background management system 1.
Part of data in the formula is obtained by removing dimension and taking the value to calculate, and the formula is obtained by simulating a large amount of collected data through software and is closest to a real situation; the preset parameters and the preset threshold values in the formula are set by those skilled in the art according to actual conditions or obtained through simulation of a large amount of data.
The working principle of the invention is as follows: the data acquisition system 2 is used for collecting acquired data and conveying the data to the experiment module 3 for analog calculation, the temperature regulation and control module 11 is used for simulating the influence caused by different environmental temperatures, the calculation results of the influence caused by the temperatures in different environments are further brought into the detection calculation module 4 for calculation, so that the calculation results under the influence of different temperatures are adapted, the calculation results are conveyed to the threshold value comparison platform 5 to be compared with the set threshold value, when the calculated heat conductivity coefficient value is higher than the set threshold value, the heat conductivity of the detected rock wool board is larger, the unqualified signals which do not meet the production requirements can be transmitted to the warning module 53 to further send a warning, the unqualified signals are transmitted to the background management system 1, the selection module 14 is used for selecting and rejecting the unqualified rock wool boards, and if the calculation results meet the set threshold value, the signals are transmitted to the background management system 1 to be further conveyed to the next step of operation.
Although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted for elements thereof without departing from the spirit and scope of the present invention.

Claims (4)

1. The utility model provides an online detecting system is used in rock wool board production, includes backstage management system, data acquisition system, detects calculation module and threshold value contrast platform, a serial communication port, be two way connection between backstage management system's the output and the input of data acquisition system, and data acquisition system's output is connected with the input that detects calculation module, the output that detects calculation module is connected with the input of threshold value contrast platform, and threshold value contrast platform output is connected with backstage management system's input, data acquisition system's output is connected with the input of experiment module, the experiment module includes rock wool board temperature module, external controllable temperature module, release heat module and material thickness, and the concrete operating procedure that carries out analog operation to experimental data in the experiment module divide into following several steps, and concrete operating procedure is as follows:
s1, setting the temperature of a rock wool board as T1, setting an external temperature meter as T2 and setting an application temperature meter as T3, wherein the temperature unit is in centigrade degree;
s2, dividing a day into 24 time intervals according to the time intervals, wherein the time interval from zero to one point is a first time interval, the temperature measured in the time interval is marked as Y1, and the temperature marks in all the time intervals are sequentially Y1.. Y24 by analogy;
s3, removing the values of the minimum temperature Ymin and the maximum temperature Ymin from the temperatures measured in all time periods, and then calculating the average value Ta of the temperatures in the rest time periods;
step S4, utilizing a calculation formula
Figure FDA0003757576130000011
Calculating to obtain a temperature influence factor delta, wherein the temperature of Ta can be calculated according to temperatures at different time intervals in a day;
s5, calculating the transferred heat quantity as Q, calculating the temperature difference between the external temperature T2 and the rock wool board T1 as delta T, and substituting the temperature influence factor obtained by calculation in the step S2 into a formula
Figure FDA0003757576130000012
Calculating to obtain the value of the thermal conductivity coefficient K;
the comparison in step 3 is as follows:
step SS31, comparing the calculated value of the thermal conductivity coefficient K with a threshold value comparison platform, wherein the threshold value set in the threshold value comparison platform is 0.5;
step SS32, if the value of the thermal conductivity coefficient K is larger than a set threshold value of 0.5, sending an instruction to the device to send out a warning, then transmitting the instruction to a background management system, and then sending an instruction to a selection module to select unqualified rock wool boards;
and SS33, if the value of the thermal conductivity coefficient K is smaller than the set threshold value of 0.5, the qualified product threshold value module directly sends an instruction to a background management system, and the rock wool board is conveyed by using the selecting module.
2. The online detection system for rock wool board production of claim 1 wherein, the background management system includes a temperature regulation module, a cross-sectional area control module and a selection module.
3. The on-line detection system is used in production of rock wool board of claim 1, characterized in that, threshold value contrast platform includes qualified module of product threshold value and, and the output of qualified module of product threshold value and the input of backstage management system are connected, the output of qualified module of product threshold value with be connected, the output be connected with the input of backstage management system.
4. The on-line detection system for rock wool board production of claim 5, wherein select the module and select equipment connection, and select between equipment and backstage management system for wireless connection.
CN202210864191.0A 2022-07-21 2022-07-21 Online detection system is used in rock wool board production Pending CN115254666A (en)

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Citations (9)

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US20090073403A1 (en) * 2007-09-19 2009-03-19 Asml Netherlands B.V. Methods of characterizing similarity or consistency in a set of entities
US20150352598A1 (en) * 2013-02-07 2015-12-10 Areva Nc Method for the Sorting of Contaminated Matter in Continuous Flow and Corresponding Device (As Amended)
CN108043749A (en) * 2018-01-16 2018-05-18 南通市第人民医院 A kind of Pharmacy's classification of drug screening plant
WO2019164400A1 (en) * 2018-02-25 2019-08-29 Duurabel B.V. System and method for measuring a condition of a building envelope
CN110610020A (en) * 2019-07-30 2019-12-24 中国水利水电科学研究院 Snowquilt-soil-unconsolidated rock stratum continuous body hydrothermal coupling calculation method
WO2020048761A1 (en) * 2018-09-06 2020-03-12 Electricite De France Method and system for controlling and regulating a system for heating premises
RU2735847C1 (en) * 2019-07-18 2020-11-09 Частное образовательное учреждение дополнительного профессионального образования Технический учебный центр "Спектр" Method for controlling penetration depth during arc automatic welding
CN113113509A (en) * 2021-04-07 2021-07-13 安徽晶天新能源科技有限责任公司 Glue coating quality point-division detection process for solar silicon wafer processing
CN113283085A (en) * 2021-05-27 2021-08-20 复旦大学 Simulation method and system of gate switch

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090073403A1 (en) * 2007-09-19 2009-03-19 Asml Netherlands B.V. Methods of characterizing similarity or consistency in a set of entities
US20150352598A1 (en) * 2013-02-07 2015-12-10 Areva Nc Method for the Sorting of Contaminated Matter in Continuous Flow and Corresponding Device (As Amended)
CN108043749A (en) * 2018-01-16 2018-05-18 南通市第人民医院 A kind of Pharmacy's classification of drug screening plant
WO2019164400A1 (en) * 2018-02-25 2019-08-29 Duurabel B.V. System and method for measuring a condition of a building envelope
WO2020048761A1 (en) * 2018-09-06 2020-03-12 Electricite De France Method and system for controlling and regulating a system for heating premises
RU2735847C1 (en) * 2019-07-18 2020-11-09 Частное образовательное учреждение дополнительного профессионального образования Технический учебный центр "Спектр" Method for controlling penetration depth during arc automatic welding
CN110610020A (en) * 2019-07-30 2019-12-24 中国水利水电科学研究院 Snowquilt-soil-unconsolidated rock stratum continuous body hydrothermal coupling calculation method
CN113113509A (en) * 2021-04-07 2021-07-13 安徽晶天新能源科技有限责任公司 Glue coating quality point-division detection process for solar silicon wafer processing
CN113283085A (en) * 2021-05-27 2021-08-20 复旦大学 Simulation method and system of gate switch

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