CN117872874A - Online moisture control system and method for household paper - Google Patents
Online moisture control system and method for household paper Download PDFInfo
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- CN117872874A CN117872874A CN202311817497.1A CN202311817497A CN117872874A CN 117872874 A CN117872874 A CN 117872874A CN 202311817497 A CN202311817497 A CN 202311817497A CN 117872874 A CN117872874 A CN 117872874A
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- 238000000034 method Methods 0.000 title claims abstract description 18
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 82
- 238000007405 data analysis Methods 0.000 claims abstract description 23
- 230000032683 aging Effects 0.000 claims abstract description 17
- 238000013500 data storage Methods 0.000 claims description 9
- 238000004364 calculation method Methods 0.000 claims description 8
- 230000003044 adaptive effect Effects 0.000 claims description 6
- 238000012937 correction Methods 0.000 claims description 4
- 230000002159 abnormal effect Effects 0.000 claims description 3
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- 239000000126 substance Substances 0.000 abstract description 7
- 238000009826 distribution Methods 0.000 abstract description 6
- 239000000835 fiber Substances 0.000 abstract description 5
- 238000012545 processing Methods 0.000 abstract description 5
- 230000009286 beneficial effect Effects 0.000 abstract description 4
- 238000001514 detection method Methods 0.000 abstract description 4
- 239000000123 paper Substances 0.000 description 118
- 230000002285 radioactive effect Effects 0.000 description 3
- 238000010521 absorption reaction Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 1
- 230000006399 behavior Effects 0.000 description 1
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- 238000005516 engineering process Methods 0.000 description 1
- 238000000691 measurement method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000011087 paperboard Substances 0.000 description 1
- 238000003739 radiometry method Methods 0.000 description 1
- 229920006395 saturated elastomer Polymers 0.000 description 1
- 239000007921 spray Substances 0.000 description 1
- 238000005507 spraying Methods 0.000 description 1
- 238000009736 wetting Methods 0.000 description 1
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Abstract
The invention discloses an online water control system and method for household paper, which relate to the technical field of automatic papermaking and comprise the following steps: the intelligent device comprises a data acquisition module, an intelligent equipment module, a data analysis module and a control module; the intelligent equipment module is used for adjusting the moisture content of the paper; the data analysis module is used for judging whether the water content of the paper is in a standard range or not; the control module is used for adjusting control parameters of the intelligent equipment module; the data analysis module is arranged, so that the classification data of the paper can be judged in the actual paper processing process, and the distribution and the content of the moisture in the paper can be judged according to different fiber structures, chemical components and physical characteristics of different types of paper, thereby being beneficial to increasing the accuracy of detection results; in addition, in the long-time operation process, the influence on the stability and reliability of the control system caused by sensor aging, equipment failure, manual operation errors and the like can be referred to, and the adjusted parameters can be obtained in a self-adaptive manner.
Description
Technical Field
The invention relates to an online water control system and method for household paper, in particular to the technical field of automatic papermaking.
Background
An online moisture control system for paper making is one of key technologies for ensuring the stable moisture content and the product quality in the paper production process;
in the actual paper processing process, different types of paper have different fiber structures, chemical components and physical characteristics, so that the distribution and transmission behaviors of moisture in the paper become complex, the distribution and the content of the moisture in the paper are difficult to judge, and the accurate control of the moisture is not facilitated;
and the on-line moisture control system needs to be stably operated for a long time to ensure the continuity of the production process and the consistency of the product quality, however, the stability and reliability of the control system may be affected due to sensor aging, equipment failure, human misoperation and the like.
Disclosure of Invention
Aiming at the problem that the safety and reliability of the unmanned target ship in the prior art need to be ensured in the running process, the dangerous situations such as out-of-control, collision and the like are avoided; although the existing unmanned target ship has an automatic obstacle avoidance function, under the condition of encountering a large storm, the existing unmanned target ship can be possibly wrapped by the storm and collide with an obstacle, and the defect that the next control is difficult to carry out according to the actual situation after encountering such unexpected situations is overcome.
In order to achieve the above purpose, the present invention provides the following technical solutions:
an on-line moisture control system for household paper, comprising: the intelligent device comprises a data acquisition module, an intelligent equipment module, a data analysis module and a control module;
the intelligent equipment module is used for adjusting the moisture content of the paper;
the data acquisition module comprises a moisture scanning unit and an image acquisition unit, wherein the moisture scanning unit is used for accurately measuring the moisture content in the paper, acquiring the water content information of the paper, and the image acquisition unit is used for acquiring the image information of the paper;
the data analysis module is used for acquiring the water content information of the paper and judging whether the water content of the paper is in a standard range according to the acquired information, and specifically comprises the following steps:
the data analysis module further comprises a data storage unit, wherein the data storage unit is used for storing preset paper information, and classifying the paper according to thickness and texture according to preset classification information;
recording paper into corresponding classifications according to the image information acquired by the data acquisition module;
acquiring a water content threshold value preset for the corresponding classified paper;
acquiring the water content of the obtained paper, and marking the water content as Y;
calculating the difference value between the water content Y and the water content threshold value, obtaining the water content difference value, and marking the water content difference value as U;
a threshold value of the water content difference value is preset, the water content difference value U is compared with the threshold value of the water content difference value, and whether the water content U is larger than the threshold value of the water content difference value is judged;
if yes, marking that the water content of the paper is abnormal, and transmitting a signal to the control module;
if not, the water content of the marked paper is normal;
the control module is used for adjusting control parameters of the intelligent equipment module.
Preferably, the data analysis module is further configured to record the paper into a corresponding category according to the image information acquired by the data acquisition module, specifically:
presetting a texture density value of paper, marking as R1, presetting the thickness of the paper, and marking as W1;
according to the formula
T1＝R1×a1+W1×a2
Calculating to obtain a comparison value T1 of each paper category, wherein a1 and a2 are preset proportionality coefficients;
acquiring paper image information with the same angle as the preset image information stored by the data storage unit;
obtaining a texture density value of the obtained paper, and marking the texture density value as R2;
obtaining the thickness value of the obtained paper, and marking the thickness value as W2;
according to the formula
T2＝R2×a1+W2×a2
Calculating to obtain a comparison value T2 of the paper, wherein a1 and a2 are preset proportion coefficients;
and carrying out difference calculation on the comparison value T2 and the comparison value T1 of each paper category, arranging the calculated difference values according to the sequence from large to small, and recording the paper in the category with the smallest difference value.
Preferably, the intelligent equipment module is used for adjusting the moisture content of the paper, and specifically comprises:
the intelligent equipment comprises a preheating roller unit, a paper guide roller unit and a speed adjusting unit;
the preheating roller is used for adjusting the temperature of the paper;
the paper guide roller is used for adjusting the preheating area of the paper;
the speed adjusting unit is used for adjusting the contact time of the paper and the moisture.
Preferably, the data analysis module is further configured to adjust a control parameter of the control module, specifically:
obtaining a parameter adjustment value of the control module, and marking the parameter adjustment value as P;
and adjusting the parameters of the intelligent equipment module according to the parameter adjustment value P of the control module.
Preferably, the parameter adjustment value P of the control module is obtained in the following manner, which specifically includes:
according to the formula
P＝U×S
And calculating to obtain a parameter adjustment value P of the control module, wherein S is a correction coefficient.
Preferably, the data analysis module is further configured to automatically adjust the parameter adjustment value P of the control module according to reasons such as aging, failure, and misoperation of the device, and specifically includes:
obtaining an ageing influence value of the obtained control module, and marking the ageing influence value as F;
obtaining a fault influence value of the obtained control module, and marking the fault influence value as H;
obtaining an operation influence value of the obtained control module, and marking the operation influence value as K;
according to the formula
L＝F×b1+H×b2+K×b3
Calculating to obtain an adaptive value L of the control module parameter adjustment value P, wherein b1, b2 and b3 are preset proportion coefficients;
multiplying the obtained self-adaptive value L by the parameter adjustment value P of the control module, and calculating to obtain the actual parameter adjustment value of the control module.
Preferably, the ageing influence value F is obtained in the following manner, which is specifically:
acquiring the service time of the data acquisition module and the intelligent equipment module in unit year, and marking the service time as X;
acquiring service lives of the data acquisition module and the intelligent equipment module, and marking the service lives as Z;
according to the formula
And calculating to obtain an adaptive value L of the control module parameter adjustment value P.
Preferably, the failure affecting value H of the control module is obtained in the following manner, which specifically is:
acquiring the total times of faults generated by the data acquisition module and the intelligent equipment module before the current time period, and marking the total times as V1;
sequencing the dates generating faults according to sequence, performing difference calculation on two adjacent fault dates to obtain a fault interval, summing the fault intervals and taking an average value to obtain an average fault interval, and marking the average fault interval as V2;
according to the formula
H＝V1×c1+V2×c2
And calculating to obtain a fault influence value H of the control module.
Preferably, the operation influence value K of the control module is obtained as follows:
acquiring the working years of the operators, and marking the working years as M1;
acquiring the number of times of misoperation of an operator before the current time period, and marking the number of times as M2;
according to the formula
K＝1+M1×d1-M2×d2
And calculating to obtain a fault influence value K of the control module.
On the other hand, the invention also provides an online water control method for the household paper, which comprises the following steps:
s1: acquiring water content data of the obtained paper and a water content standard value of the corresponding classification of the paper;
s2: judging whether the water content of the paper is in a normal range or not;
s3: if the water content of the paper is not in the normal range, adjusting the water content of the paper, and if the water content of the paper is in the normal range, not adjusting the water content of the paper;
s4: and adjusting the adjusting parameters of the equipment in a self-adaptive manner according to the information of the equipment.
Compared with the prior art, the invention has the following beneficial effects:
the data analysis module is arranged, so that the classification data of the paper can be judged in the actual paper processing process, and the distribution and the content of the moisture in the paper can be judged according to different fiber structures, chemical components and physical characteristics of different types of paper, thereby being beneficial to increasing the accuracy of detection results;
in addition, in the long-time operation process, the influence on the stability and reliability of the control system caused by sensor aging, equipment failure, manual operation errors and the like can be referred to, and the adjusted parameters can be obtained in a self-adaptive manner.
Drawings
FIG. 1 is a system block diagram of the present invention;
fig. 2 is a flow chart of the method of the present invention.
Detailed Description
Referring to fig. 1 to 2:
example 1:
an on-line moisture control system for household paper, comprising: the intelligent device comprises a data acquisition module, an intelligent equipment module, a data analysis module and a control module;
the intelligent equipment module is used for adjusting the moisture content of the paper;
the data acquisition module comprises a moisture scanning unit and an image acquisition unit, wherein the moisture scanning unit is used for accurately measuring the moisture content in the paper, acquiring the moisture content information of the paper, and the image acquisition unit is used for acquiring the image information of the paper;
as an alternative embodiment, the moisture content acquisition mode of the moisture scanning unit may be a near infrared measurement method:
based on the specific absorption characteristics of moisture in the near infrared region. When near infrared light irradiates the paper, the moisture absorbs light with a specific wavelength, and other components have little influence on the light, and the moisture content in the paper can be determined by measuring the intensity of the light reflected or transmitted by the paper;
as an alternative embodiment, the moisture content acquisition mode of the moisture scanning unit may be a radiometry method:
the moisture content in the paper is measured by utilizing the principle that radioactive isotopes (such as beta rays or gamma rays) interact with substances, when the radioactive rays pass through the paper, the radioactive rays interact with the substances in the paper, the existence of the scattered and absorbed moisture influences the scattering and absorption degree of the rays, so that the intensity of the rays is changed, and the moisture content in the paper can be determined by measuring the difference of the intensity of the rays before and after the rays pass through the paper;
the data analysis module is used for acquiring the water content information of the paper and judging whether the water content of the paper is in a standard range according to the acquired information, and specifically comprises the following steps:
the data analysis module further comprises a data storage unit, wherein the data storage unit is used for storing preset paper information, and classifying the paper according to thickness and texture according to preset classification information;
recording the paper into the corresponding classification according to the image information acquired by the data acquisition module;
acquiring a water content threshold value preset for the corresponding classified paper;
acquiring the water content of the obtained paper, and marking the water content as Y;
calculating the difference value between the water content Y and the water content threshold value, obtaining the water content difference value, and marking the water content difference value as U;
a threshold value of the water content difference value is preset, the water content difference value U is compared with the threshold value of the water content difference value, and whether the water content U is larger than the threshold value of the water content difference value is judged;
if yes, the water content of the marked paper is abnormal, and a signal is transmitted to a control module;
if not, the water content of the marked paper is normal;
the control module is used for adjusting control parameters of the intelligent equipment module;
the data analysis module is also used for inputting the paper into the corresponding classification according to the image information acquired by the data acquisition module, and specifically comprises the following steps:
presetting a texture density value of paper, marking as R1, presetting the thickness of the paper, and marking as W1;
according to the formula
T1＝R1×a1+W1×a2
Calculating to obtain a comparison value T1 of each paper category, wherein a1 and a2 are preset proportionality coefficients, and a1 and a2 are 0.1826 and 0.2836 respectively;
acquiring paper image information with the same angle as the preset image information stored in the data storage unit;
obtaining a texture density value of the obtained paper, and marking the texture density value as R2; obtaining the density of paper textures through image recognition and preset paper comparison;
obtaining the thickness value of the obtained paper, and marking the thickness value as W2; obtaining the thickness of the paper through image recognition and preset paper comparison;
according to the formula
T2＝R2×a1+W2×a2
Calculating to obtain a comparison value T2 of the paper, wherein a1 and a2 are preset proportionality coefficients, and a1 and a2 are respectively 0.182 and 0.283;
performing difference calculation on the comparison value T2 and the comparison value T1 of each paper category, arranging the calculated difference values according to the sequence from large to small, and recording the paper in the category with the smallest difference value;
the classification data of the paper can be judged in the actual paper processing process, and the distribution and the content of the moisture in the paper are judged according to different fiber structures, chemical components and physical characteristics of different types of paper, so that the accuracy of the detection result is improved.
It should be further noted that, the smart device module is used for adjusting the moisture content of the paper, specifically:
the intelligent equipment comprises a preheating roller unit, a paper guide roller unit and a speed adjusting unit;
the preheating roller is used for carrying out temperature adjustment on paper: if the moisture of the paper board is too high, the temperature of the preheating roller can be increased by increasing the steam pressure of the boiler to ensure that the steam reaches a saturated state, and the moisture of the paper is changed by changing the steam pressure;
the paper guide roller is used for adjusting the preheating area of the paper; when the moisture is low, the paper guide roller can be adjusted to reduce the preheating area, and meanwhile, a spraying device (a wetting roller) on the single facer is fully utilized to spray the base paper so as to increase the moisture of the base paper to the standard requirement, and the moisture of the paper is changed by changing the parameters of the paper guide roller;
the speed adjusting unit is used for adjusting the contact time of the paper and the moisture; when the base paper is replaced, the single-sided machine should be accelerated to accumulate more paper on the bridge frame, the compound machine should be decelerated after receiving the signal, and the single-sided machine should be accelerated after finishing the paper receiving, and the moisture of the paper is changed by changing the speed of the single-sided machine.
Example 2:
on the basis of embodiment 1, the data analysis module is further configured to adjust control parameters of the control module, specifically:
acquiring a parameter adjustment value of the obtained control module, and marking the parameter adjustment value as P;
adjusting parameters of the intelligent equipment module according to the parameter adjustment value P of the control module;
it should be noted that, the parameter adjustment value P of the control module is obtained by the following manner, specifically:
according to the formula
P＝U×S
The parameter adjustment value P of the control module is obtained through calculation, wherein S is a correction coefficient, and the correction coefficient S is obtained through experience and can be the minimum adjustment parameter of the equipment through summarization of the moisture adjustment of the paper by an operator.
Example 3:
on the basis of embodiment 2, the data analysis module is further configured to automatically adjust the parameter adjustment value P of the control module according to the causes such as aging, failure, and misoperation of the device, specifically:
obtaining an ageing influence value of the obtained control module, and marking the ageing influence value as F;
obtaining a fault influence value of the obtained control module, and marking the fault influence value as H;
obtaining an operation influence value of the obtained control module, and marking the operation influence value as K;
according to the formula
L＝F×b1+H×b2+K×b3
Calculating to obtain an adaptive value L of a parameter adjustment value P of the control module, wherein b1, b2 and b3 are preset proportionality coefficients, and b1 is 0.293, b2 is 0.392 and b3 is 0.283;
multiplying the obtained self-adaptive value L by a parameter adjustment value P of the control module, and calculating to obtain an actual parameter adjustment value of the control module;
the aging influence value F is obtained by the following steps:
acquiring the service time of the data acquisition module and the intelligent equipment module in unit year, and marking the service time as X;
acquiring service lives of the data acquisition module and the intelligent equipment module, and marking the service lives as Z;
according to the formula
Calculating to obtain an adaptive value L of a control module parameter adjustment value P;
it should be further noted that, the failure impact value H of the control module is obtained by the following manner:
acquiring the total times of faults generated by a data acquisition module and an intelligent equipment module before the current time period, and marking the total times as V1;
sequencing the dates generating faults according to sequence, performing difference calculation on two adjacent fault dates to obtain a fault interval, summing the fault intervals and taking an average value to obtain an average fault interval, and marking the average fault interval as V2;
according to the formula
H＝V1×c1+V2×c2
Calculating to obtain a fault influence value H of the control module, wherein c1 and c2 are preset proportionality coefficients, and specifically c1 is 0.927 and c2 is 0.372;
it should be further noted that, the operation influence value K of the control module is obtained by the following manner:
acquiring the working years of the operators, and marking the working years as M1;
acquiring the number of times of misoperation of an operator before the current time period, and marking the number of times as M2;
according to the formula
K＝1+M1×d1-M2×d2
The fault impact value K of the control module is obtained by calculation, and it is to be noted that d1 and d2 are preset proportionality coefficients, specifically d1 is 0.467, and d2 is 0.972.
In addition, in the long-time operation process, the influence on the stability and reliability of the control system caused by sensor aging, equipment failure, manual operation errors and the like can be referred to, and the adjusted parameters can be obtained in a self-adaptive manner.
The invention also provides an online water control method for the household paper, which comprises the following steps:
s1: acquiring water content data of the obtained paper and a water content standard value of the corresponding classification of the paper;
s2: judging whether the water content of the paper is in a normal range or not;
s3: if the water content of the paper is not in the normal range, adjusting the water content of the paper, and if the water content of the paper is in the normal range, not adjusting the water content of the paper;
s4: and adjusting the adjusting parameters of the equipment in a self-adaptive manner according to the information of the equipment.
Working principle: the data analysis module is arranged, so that the classification data of the paper can be judged in the actual paper processing process, and the distribution and the content of the moisture in the paper can be judged according to different fiber structures, chemical components and physical characteristics of different types of paper, thereby being beneficial to increasing the accuracy of detection results;
in addition, in the long-time operation process, the influence on the stability and reliability of the control system caused by sensor aging, equipment failure, manual operation errors and the like can be referred to, and the adjusted parameters can be obtained in a self-adaptive manner.
The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above examples, and all technical solutions belonging to the concept of the present invention belong to the protection scope of the present invention. It should be noted that modifications and adaptations to those skilled in the art without departing from the principles of the present invention are intended to be considered as protecting the scope of the present template.
Claims (10)
1. An on-line moisture control system for household paper, comprising: the intelligent device comprises a data acquisition module, an intelligent equipment module, a data analysis module and a control module;
the intelligent equipment module is used for adjusting the moisture content of the paper;
the data acquisition module comprises a moisture scanning unit and an image acquisition unit, wherein the moisture scanning unit is used for accurately measuring the moisture content in the paper, acquiring the water content information of the paper, and the image acquisition unit is used for acquiring the image information of the paper;
the data analysis module is used for acquiring the water content information of the paper and judging whether the water content of the paper is in a standard range according to the acquired information, and specifically comprises the following steps:
the data analysis module further comprises a data storage unit, wherein the data storage unit is used for storing preset paper information, and classifying the paper according to thickness and texture according to preset classification information;
recording paper into corresponding classifications according to the image information acquired by the data acquisition module;
acquiring a water content threshold value preset for the corresponding classified paper;
acquiring the water content of the obtained paper, and marking the water content as Y;
calculating the difference value between the water content Y and the water content threshold value, obtaining the water content difference value, and marking the water content difference value as U;
a threshold value of the water content difference value is preset, the water content difference value U is compared with the threshold value of the water content difference value, and whether the water content U is larger than the threshold value of the water content difference value is judged;
if yes, marking that the water content of the paper is abnormal, and transmitting a signal to the control module;
if not, the water content of the marked paper is normal;
the control module is used for adjusting control parameters of the intelligent equipment module.
2. The online water control system of household paper according to claim 1, wherein the data analysis module is further configured to record the paper into a corresponding category according to the image information acquired by the data acquisition module, specifically:
presetting a texture density value of paper, marking as R1, presetting the thickness of the paper, and marking as W1;
according to the formula
T1＝R1×a1+W1×a2
Calculating to obtain a comparison value T1 of each paper category, wherein a1 and a2 are preset proportionality coefficients;
acquiring paper image information with the same angle as the preset image information stored by the data storage unit;
obtaining a texture density value of the obtained paper, and marking the texture density value as R2;
obtaining the thickness value of the obtained paper, and marking the thickness value as W2;
according to the formula
T2＝R2×a1+W2×a2
Calculating to obtain a comparison value T2 of the paper, wherein a1 and a2 are preset proportion coefficients;
and carrying out difference calculation on the comparison value T2 and the comparison value T1 of each paper category, arranging the calculated difference values according to the sequence from large to small, and recording the paper in the category with the smallest difference value.
3. The on-line moisture control system for household paper according to claim 1, wherein the intelligent equipment module is used for adjusting the moisture content of the paper, specifically:
the intelligent equipment comprises a preheating roller unit, a paper guide roller unit and a speed adjusting unit;
the preheating roller is used for adjusting the temperature of the paper;
the paper guide roller is used for adjusting the preheating area of the paper;
the speed adjusting unit is used for adjusting the contact time of the paper and the moisture.
4. The on-line moisture control system for household paper according to claim 1, wherein the data analysis module is further configured to adjust control parameters of the control module, specifically:
obtaining a parameter adjustment value of the control module, and marking the parameter adjustment value as P;
and adjusting the parameters of the intelligent equipment module according to the parameter adjustment value P of the control module.
5. The online water control system for household paper according to claim 4, wherein the parameter adjustment value P of the control module is obtained by the following steps:
according to the formula
P＝U×S
And calculating to obtain a parameter adjustment value P of the control module, wherein S is a correction coefficient.
6. The online water control system for household paper according to claim 5, wherein the data analysis module is further configured to automatically adjust the parameter adjustment value P of the control module according to the causes such as aging, failure, and misoperation of the device, and specifically is:
obtaining an ageing influence value of the obtained control module, and marking the ageing influence value as F;
obtaining a fault influence value of the obtained control module, and marking the fault influence value as H;
obtaining an operation influence value of the obtained control module, and marking the operation influence value as K;
according to the formula
L＝F×b1+H×b2+K×b3
Calculating to obtain an adaptive value L of the control module parameter adjustment value P, wherein b1, b2 and b3 are preset proportion coefficients;
multiplying the obtained self-adaptive value L by the parameter adjustment value P of the control module, and calculating to obtain the actual parameter adjustment value of the control module.
7. The online water control system for household paper according to claim 6, wherein the aging influence value F is obtained by the following steps:
acquiring the service time of the data acquisition module and the intelligent equipment module in unit year, and marking the service time as X;
acquiring service lives of the data acquisition module and the intelligent equipment module, and marking the service lives as Z;
according to the formula
And calculating to obtain an adaptive value L of the control module parameter adjustment value P.
8. The online water control system for household paper according to claim 6, wherein the fault influence value H of the control module is obtained by the following steps:
acquiring the total times of faults generated by the data acquisition module and the intelligent equipment module before the current time period, and marking the total times as V1;
sequencing the dates generating faults according to sequence, performing difference calculation on two adjacent fault dates to obtain a fault interval, summing the fault intervals and taking an average value to obtain an average fault interval, and marking the average fault interval as V2;
according to the formula
H＝V1×c1+V2×c2
And calculating to obtain a fault influence value H of the control module.
9. The online water control system for household paper according to claim 6, wherein the operation influence value K of the control module is obtained by the following steps:
acquiring the working years of the operators, and marking the working years as M1;
acquiring the number of times of misoperation of an operator before the current time period, and marking the number of times as M2;
according to the formula
K＝1+M1×d1-M2×d2
And calculating to obtain a fault influence value K of the control module.
10. An online moisture control method for household paper, which is applicable to the online moisture control system for household paper according to any one of claims 1 to 9, and is characterized by comprising the following steps:
s1: acquiring water content data of the obtained paper and a water content standard value of the corresponding classification of the paper;
s2: judging whether the water content of the paper is in a normal range or not;
s3: if the water content of the paper is not in the normal range, adjusting the water content of the paper, and if the water content of the paper is in the normal range, not adjusting the water content of the paper;
s4: and adjusting the adjusting parameters of the equipment in a self-adaptive manner according to the information of the equipment.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311817497.1A CN117872874A (en) | 2023-12-26 | 2023-12-26 | Online moisture control system and method for household paper |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311817497.1A CN117872874A (en) | 2023-12-26 | 2023-12-26 | Online moisture control system and method for household paper |
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| CN117872874A true CN117872874A (en) | 2024-04-12 |
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| CN202311817497.1A Pending CN117872874A (en) | 2023-12-26 | 2023-12-26 | Online moisture control system and method for household paper |
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| CN (1) | CN117872874A (en) |
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