CN113175980B - Embedded weighing method for detecting weight of grains in dryer in real time - Google Patents

Embedded weighing method for detecting weight of grains in dryer in real time Download PDF

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CN113175980B
CN113175980B CN202110543894.9A CN202110543894A CN113175980B CN 113175980 B CN113175980 B CN 113175980B CN 202110543894 A CN202110543894 A CN 202110543894A CN 113175980 B CN113175980 B CN 113175980B
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grains
drying
relieving
dryer
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CN113175980A (en
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杨卫国
陈家松
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Anhui Zhina Intelligent Equipment Co ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01GWEIGHING
    • G01G19/00Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P60/00Technologies relating to agriculture, livestock or agroalimentary industries
    • Y02P60/80Food processing, e.g. use of renewable energies or variable speed drives in handling, conveying or stacking
    • Y02P60/85Food storage or conservation, e.g. cooling or drying

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Abstract

The invention relates to an embedded weighing method, in particular to an embedded weighing method for detecting the weight of grains in a dryer in real time, which utilizes front-end pressure detectionThe module detects the unit area bearing pressure p of the bottom of the relieving bin, the sectional area detection module of the relieving bin detects the sectional area S of the bottom of the relieving bin, and the water content detection module detects the water content of the grains in the drying bin
Figure DDA0003072804440000011
The drying bin volume detection module detects the volume V inside the drying bin, the controller packs the detection data and sends a detection data packet to the server through the wireless communication module at intervals in the whole drying process; the technical scheme provided by the invention can effectively overcome the defect that the operation amount of the dryer cannot be effectively detected in the prior art.

Description

Embedded weighing method for detecting weight of grains in dryer in real time
Technical Field
The invention relates to an embedded weighing method, in particular to an embedded weighing method for detecting the weight of grains in a dryer in real time.
Background
Grain drying-machine is the hot-blast stoving case, adopts convolution heating device, can produce a large amount of hot-blastly in the short time, reaches the purpose of killing the worm's ovum through high temperature treatment, thoroughly solves the phenomenon of discolouring that appears among the grain drying process. The drying box body adopts a metal aluminum inner wall plate, silica gel cotton heat preservation and a corrugated color steel plate or an aluminum alloy outer wall plate, digital control and detection are adopted in the box body, so that hot air can be fully circulated, and the drying temperature can be effectively controlled.
Along with the improvement of grain seeds, the improvement of unit yield and the increase of the investment of the state on grain drying equipment, the large, medium and small-sized grain drying equipment is more and more in quantity, and whether the dryer with high matching quality, long service life, economy, practicality, good reliability and high automation degree is important.
When the dryer works, the workload of the dryer needs to be effectively detected. However, in the whole drying process of the dryer, including the processes of grain feeding, drying, cooling and grain discharging, the grains inside the dryer are in a state of continuously flowing inside the relaxing bin and the drying bin. In the normal drying process, the weight of the grains in the relieving bin can be rapidly increased in the grain feeding stage, the time lasts for about one hour, and the weight reaches the peak value after the grain feeding is finished; the weight of the grains in the relieving bin can be slowly reduced in the drying process, and the process lasts for several hours, even dozens of hours; in the grain discharging process, the weight of the grains in the relaxing bin is rapidly reduced, and the time lasts for about one hour. In addition, the grain to be dried also contains a certain amount of moisture, and how to effectively detect the operation amount of the dryer becomes a difficult problem to be solved urgently.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects in the prior art, the invention provides an embedded weighing method for detecting the weight of grains in a dryer in real time, which can effectively overcome the defect that the workload of the dryer cannot be effectively detected in the prior art.
(II) technical scheme
In order to realize the purpose, the invention is realized by the following technical scheme:
an embedded weighing method for detecting the weight of grains in a dryer in real time comprises the following steps:
s1, detecting the unit area bearing pressure p at the bottom of a relieving bin by using a front end pressure detection module, detecting the cross sectional area S at the bottom of the relieving bin by using a relieving bin sectional area detection module, and detecting the water content of grains in a drying bin by using a water content detection module
Figure GDA0004083710670000022
A drying bin volume detection module detects the internal volume V of the drying bin;
s2, the controller packs the detection data and sends a detection data packet to the server through the wireless communication module at intervals in the whole drying process;
s3, according to the moisture content of the grains in the drying bin
Figure GDA0004083710670000023
Calculating the dry weight W of the grains in the relieving bin by the unit area bearing pressure p at the bottom of the relieving bin and the cross sectional area S at the bottom of the relieving bin 1
S4, according to the moisture content of the grains in the drying bin
Figure GDA0004083710670000024
Calculating the grain dry weight W in the drying bin according to the internal volume V of the drying bin 2
S5, according to the dry weight W of the grains in the relieving bin 1 And the dry weight W of the grains in the drying bin 2 And calculating the dry weight W of the grains dried in the unit drying period, and taking the dry weight W of the grains dried in the unit drying period which tends to be stable as the workload of the dryer.
Preferably, the moisture content of the grains in the drying bin is determined in S3
Figure GDA0004083710670000025
Calculating the dry weight W of the grains in the relieving bin by the unit area bearing pressure p at the bottom of the relieving bin and the cross sectional area S at the bottom of the relieving bin 1 The method comprises the following steps:
the dry weight W of the grains inside the relaxing barn was calculated by the following formula 1
Figure GDA0004083710670000021
Wherein p is the unit area bearing pressure of the bottom of the relieving bin, S is the cross sectional area of the bottom of the relieving bin,
Figure GDA0004083710670000026
the moisture content of the grains in the drying bin.
Preferably, a stirring mechanism for stirring the grains is arranged inside the relaxing bin.
Preferably, the moisture content of the grains in the drying bin is determined in S4
Figure GDA0004083710670000037
Calculating the grain dry weight W in the drying bin according to the internal volume V of the drying bin 2 The method comprises the following steps:
estimating the wet weight W' of the grains in the drying bin according to the internal volume V of the drying bin, and calculating the dry weight W of the grains in the drying bin according to the following formula 2
Figure GDA0004083710670000031
Wherein,
Figure GDA0004083710670000032
the moisture content of the grains in the drying bin.
Preferably, the dry weight W of the grains inside the relaxation bin is determined in S5 1 And the dry weight W of the grains in the drying bin 2 Calculating the dry weight W of the grains dried in a unit drying period, comprising:
the dry weight W of the grain dried per unit drying cycle is calculated by the following formula:
W=W 1 +W 2
preferably, the step S5 of using the dry weight W of the grains to be dried in the unit drying period which tends to be stable as the working amount of the dryer includes:
and when the difference of the adjacent detection results of three consecutive times is smaller than the threshold value, taking the average value of the dry weight W of the grains dried in the four unit drying periods as the operation amount of the dryer.
Preferably, the drying device further comprises a flat electrode relatively fixedly arranged on the side wall of the drying bin and a standard resistor R connected with the flat electrode, and the water content detection module calculates the impedance R of grains in the drying bin through the following formula n Capacitive reactance C n
Figure GDA0004083710670000033
Figure GDA0004083710670000034
Wherein, U 1 Is the grain pressure drop between the plate electrodes, U 2 Is the voltage drop of a standard resistor R, alpha is U 1 And U 2 The phase difference between them, f is the frequency of the electrical signal applied to the reference resistor R.
Preferably, the water content detection module is based onResistance R of grain inside drying bin n Capacitive reactance C n Calculating the water content of the grain in the drying bin by the following formula
Figure GDA0004083710670000038
Figure GDA0004083710670000035
/>
Figure GDA0004083710670000036
Wherein A is 1 、B 1 、C 1 、D 1 And A 2 、B 2 、C 2 、D 2 Fitting parameters related to the grain species.
Preferably, the controller receives detection data of the front-end pressure detection module, the relieving bin sectional area detection module, the water content detection module and the drying bin volume detection module, generates a detection data packet together with an identity number of the internal special device and a positioning result of the positioning module by packaging, and sends the detection data packet to the server through the wireless communication module.
(III) advantageous effects
Compared with the prior art, the embedded weighing method for detecting the weight of the grains in the dryer in real time, provided by the invention, has the advantages that the embedded weighing and metering unit is utilized to detect the weight of the grains in the dryer, and meanwhile, the weight of the grains in the relieving bin and the drying bin is compensated and calculated by detecting the water content of the grains, so that the real-time detection of the current weight of the grains in the dryer is realized; and recording a plurality of grain dry weight data sets dried in unit drying periods related to time in the whole drying process, and accurately detecting the operation amount of the dryer by using the weight data characteristics in the drying operation process.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It is obvious that the drawings in the following description are only some embodiments of the invention, and that for a person skilled in the art, other drawings can be derived from them without inventive effort.
FIG. 1 is a schematic flow diagram of the present invention;
fig. 2 is a schematic structural view of a conventional dryer in the prior art.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all 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.
An embedded weighing method for real-time detection of grain weight in a dryer is disclosed, as shown in fig. 1 and 2, a front end pressure detection module is used for detecting the unit area bearing pressure p at the bottom of a relieving bin, a sectional area detection module of the relieving bin is used for detecting the sectional area S at the bottom of the relieving bin, and a water content detection module is used for detecting the water content of grain in the drying bin
Figure GDA0004083710670000052
And the drying bin volume detection module detects the internal volume V of the drying bin.
The controller packs the detection data and sends a detection data packet to the server through the wireless communication module at intervals in the whole drying process.
The controller receives detection data of the front-end pressure detection module, the relieving bin sectional area detection module, the water content detection module and the drying bin volume detection module, generates a detection data packet together with an identity number of the internal special equipment and a positioning result of the positioning module, and sends the detection data packet to the server through the wireless communication module.
In order to meet the requirement of multipoint and scattered dryer workload monitoring, a multipoint network system which takes the ID number of the internal special equipment as an index is designed and realized. The embedded weighing and metering unit is responsible for detecting the weight of grains in a single dryer and has an independent internal special equipment identity number, a positioning module, a wireless communication module and the like.
According to the moisture content of the grain in the drying bin
Figure GDA0004083710670000053
Calculating the dry weight W of grains in the relieving bin by using the unit area bearing pressure p at the bottom of the relieving bin and the cross sectional area S at the bottom of the relieving bin 1 The method specifically comprises the following steps:
the dry weight W of the grains inside the relaxing barn was calculated by the following formula 1
Figure GDA0004083710670000051
Wherein p is the unit area bearing pressure of the bottom of the relieving bin, S is the cross sectional area of the bottom of the relieving bin,
Figure GDA0004083710670000054
the moisture content of the grains in the drying bin.
The inside rabbling mechanism that is used for stirring cereal that is equipped with in the gentle storehouse. The grain evenly distributed of the inside storehouse of releiving can be guaranteed in rabbling mechanism' S setting to can reduce the unit area bearing pressure p of the storehouse bottom of releiving, the product of the cross-sectional area S of the storehouse bottom of releiving and regard as the error that detects the inside grain weight in the storehouse of releiving.
According to the water content of the grain inside the drying bin
Figure GDA0004083710670000062
Calculating grain dry weight W in drying bin by using volume V in drying bin 2 The method specifically comprises the following steps:
estimating the wet weight W' of the grain inside the drying bin according to the internal volume V of the drying bin, andcalculating the dry weight W of the grains in the drying bin by the following formula 2
Figure GDA0004083710670000061
Wherein,
Figure GDA0004083710670000063
the moisture content of the grains in the drying bin.
According to the dry weight W of the grains in the relieving bin 1 And the dry weight W of the grains in the drying bin 2 And calculating the dry weight W of the grains dried in the unit drying period, and taking the dry weight W of the grains dried in the unit drying period which tends to be stable as the workload of the dryer.
Wherein, according to the dry weight W of the grains in the relieving bin 1 And the dry weight W of the grains in the drying bin 2 Calculating the dry weight W of the grains dried in a unit drying period, comprising:
the dry weight W of the grain dried per unit drying cycle is calculated by the following formula:
W=W 1 +W 2
wherein, the dry weight W of the grain dried in the unit drying period which tends to be stable is taken as the working capacity of the dryer, and the method comprises the following steps:
and when the difference of the adjacent detection results of three consecutive times is smaller than the threshold value, taking the average value of the dry weight W of the grains dried in the four unit drying periods as the operation amount of the dryer.
When the difference between the adjacent detection results of three consecutive times is smaller than the threshold value, the moisture content of the grains in the dryer is very low, the grains are in a stable flowing state in the relieving bin and the drying bin, the average value of the dry weight W of the grains dried in the four unit drying periods is taken as the operation amount of the dryer, and the detection error can be effectively reduced.
The invention relates to an on-line intelligent solution for monitoring the operation amount of a dryer, which comprises the whole process from grain feeding, drying, cooling to grain discharging in the whole drying process, carries out whole-process monitoring on the weight of grains in the dryer, and detects the operation amount of the dryer on line by technical means of recording and analyzing process data, matching weight data characteristics in the drying operation process and the like.
The front-end detection data are sent to the server through the public network system, the server finishes the collection, analysis and calculation of the front-end detection data in the system, and finally the data of the workload of each dryer are obtained for the use of a required client terminal.
In this application technical scheme, water content detection module detects the moisture content of the inside cereal in stoving storehouse
Figure GDA0004083710670000075
The following:
the drying device also comprises a flat plate electrode which is relatively and fixedly arranged on the side wall of the drying bin and a standard resistor R connected with the flat plate electrode, and the water content detection module calculates the impedance R of grains in the drying bin through the following formula n Capacitive reactance C n
Figure GDA0004083710670000071
Figure GDA0004083710670000072
Wherein, U 1 Is the grain pressure drop between the plate electrodes, U 2 Is the voltage drop of the standard resistor R, alpha is U 1 And U 2 The phase difference between them, f is the frequency of the electrical signal applied to the reference resistor R.
The water content detection module is used for detecting the impedance R of grains in the drying bin n Capacitive reactance C n Calculating the water content of the grain in the drying bin by the following formula
Figure GDA0004083710670000076
Figure GDA0004083710670000073
Figure GDA0004083710670000074
Wherein A is 1 、B 1 、C 1 、D 1 And A 2 、B 2 、C 2 、D 2 Fitting parameters related to the grain species.
In this application technical scheme, come the moisture content to the inside cereal in stoving storehouse through set up dull and stereotyped electrode at stoving storehouse lateral wall
Figure GDA0004083710670000077
And detecting, and performing compensation calculation for the grain weight in the subsequent relieving bin and the drying bin to provide data support. Because the grain in the dryer is in the continuous flowing state in the relieving bin and the drying bin in the whole drying operation process of the dryer, the moisture content of the grain in the drying bin can be used for being greater or smaller than the moisture content of the grain in the drying bin>
Figure GDA0004083710670000081
Approximately as the moisture content of the grain inside the dryer.
In the technical scheme, because the flat plate electrode is arranged, high-power equipment such as a fan and a motor which are used in the dryer need to be electromagnetically shielded, and the magnetic field generated by the equipment during working is prevented from generating water content
Figure GDA0004083710670000082
The detection of (2) has an effect.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (8)

1. An embedded weighing method for detecting the weight of grains in a dryer in real time is characterized in that: the method comprises the following steps:
s1, detecting the unit area bearing pressure p of the bottom of a relieving bin by using a front end pressure detection module, detecting the cross sectional area S of the bottom of the relieving bin by using a relieving bin sectional area detection module, and detecting the water content of grains in a drying bin by using a water content detection module
Figure FDA0004083710660000011
A drying bin volume detection module detects the internal volume V of the drying bin;
s2, the controller packs the detection data and sends a detection data packet to a server through a wireless communication module at intervals in the whole drying process;
s3, according to the moisture content of the grains in the drying bin
Figure FDA0004083710660000012
Calculating the dry weight W of the grains in the relieving bin by the unit area bearing pressure p at the bottom of the relieving bin and the cross sectional area S at the bottom of the relieving bin 1
S4, according to the moisture content of the grains in the drying bin
Figure FDA0004083710660000013
Calculating the grain dry weight W in the drying bin according to the internal volume V of the drying bin 2
S5, according to the dry weight W of the grains in the relieving bin 1 And the dry weight W of the grains in the drying bin 2 Calculating the dry weight W of the grains dried in the unit drying period, and taking the dry weight W of the grains dried in the unit drying period which tends to be stable as the workload of the dryer;
and S5, taking the dry weight W of the grains dried in the unit drying period which tends to be stable as the working capacity of the dryer, wherein the working capacity of the dryer comprises the following steps:
and when the difference between the adjacent detection results of three consecutive times is smaller than the threshold value, taking the average value of the dry weight W of the grains dried in the four unit drying periods as the operation amount of the dryer.
2. The embedded weighing method for real-time detection of grain weight in a dryer of claim 1, wherein: according to the moisture content of the grains in the drying bin in S3
Figure FDA0004083710660000015
Calculating the dry weight W of the grains in the relieving bin by the unit area bearing pressure p at the bottom of the relieving bin and the cross sectional area S at the bottom of the relieving bin 1 The method comprises the following steps:
the dry weight W of the grain inside the relaxation bin is calculated by the following formula 1
Figure FDA0004083710660000014
Wherein p is the unit area bearing pressure of the bottom of the relieving bin, S is the cross sectional area of the bottom of the relieving bin,
Figure FDA0004083710660000021
the moisture content of the grains in the drying bin.
3. The embedded weighing method for real-time detection of grain weight in a dryer as claimed in claim 2, wherein: the inside rabbling mechanism that is used for stirring cereal that is equipped with of slow storehouse.
4. The embedded weighing method for real-time detection of grain weight in a dryer of claim 2, wherein: s4, according to the moisture content of the grains in the drying bin
Figure FDA0004083710660000022
Calculating the grain dry weight W in the drying bin according to the internal volume V of the drying bin 2 The method comprises the following steps:
estimating the wet weight W' of the grain inside the drying bin according to the internal volume V of the drying bin, and passing throughCalculating the dry weight W of the grains in the drying bin by the following formula 2
Figure FDA0004083710660000023
Wherein,
Figure FDA0004083710660000024
the moisture content of the grains in the drying bin.
5. The embedded weighing method for real-time detection of grain weight in a dryer of claim 4, wherein: in S5, according to the dry weight W of the grains in the relieving bin 1 And the dry weight W of the grains in the drying bin 2 Calculating the dry weight W of the grains dried in a unit drying period, comprising:
the dry weight W of the grain dried per unit drying cycle is calculated by the following formula:
W=W 1 +W 2
6. the embedded weighing method for real-time detection of grain weight in a dryer of claim 5, wherein: the drying device further comprises a flat plate electrode which is relatively and fixedly arranged on the side wall of the drying bin and a standard resistor R which is connected with the flat plate electrode, and the water content detection module calculates the impedance R of grains in the drying bin through the following formula n Capacitive reactance C n
Figure FDA0004083710660000025
Figure FDA0004083710660000026
Wherein, U 1 Is the grain pressure drop between the plate electrodes, U 2 Is the voltage drop of the standard resistor R, alpha is U 1 And U 2 Phase difference betweenAnd f is the frequency of the electrical signal applied to the reference resistor R.
7. The method of claim 6, wherein the weight of the grain in the dryer is detected in real time by the embedded weighing method, and the method comprises the following steps: the water content detection module is used for detecting the impedance R of grains in the drying bin n Capacitive reactance C n Calculating the water content of the grain in the drying bin by the following formula
Figure FDA0004083710660000031
Figure FDA0004083710660000032
Figure FDA0004083710660000033
Wherein, A 1 、B 1 、C 1 、D 1 And A 2 、B 2 、C 2 、D 2 Are fitting parameters related to grain species.
8. The embedded weighing method for real-time detection of grain weight in a dryer of claim 1, wherein: the controller receives detection data of the front-end pressure detection module, the relieving bin sectional area detection module, the water content detection module and the drying bin volume detection module, generates a detection data packet together with an identity number of the internal special equipment and a positioning result of the positioning module, and sends the detection data packet to the server through the wireless communication module.
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