CN113175981B - Embedded weighing system for detecting weight of grains in dryer in real time - Google Patents

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

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CN113175981B
CN113175981B CN202110543942.4A CN202110543942A CN113175981B CN 113175981 B CN113175981 B CN 113175981B CN 202110543942 A CN202110543942 A CN 202110543942A CN 113175981 B CN113175981 B CN 113175981B
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bin
drying
grains
grain
dryer
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CN113175981A (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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    • G01MEASURING; TESTING
    • G01GWEIGHING
    • G01G19/00Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups

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Abstract

The invention relates to an embedded weighing system, in particular to an embedded weighing system for detecting the weight of grains in a dryer in real time, which comprises a controller, a front-end pressure detection module, a relieving bin sectional area detection module, a moisture content detection module and a controller, wherein the controller is in data communication with a server through a wireless communication module, the server is in data communication with a client terminal, the front-end pressure detection module is connected with the controller, is arranged at the bottom of the relieving bin and is used for detecting the unit area bearing pressure p at the bottom of the relieving bin, the relieving bin sectional area detection module is connected with the controller and is used for detecting the sectional area S at the bottom of the relieving bin, the moisture content detection module is connected with the controller and is used for detecting the moisture content of the grains in the drying bin
Figure DDA0003072822270000011
The drying bin volume detection module is connected with the controller and is used for detecting the internal volume V of the drying bin; 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 system for detecting weight of grains in dryer in real time
Technical Field
The invention relates to an embedded weighing system, in particular to an embedded weighing system for detecting the weight of grains in a dryer in real time.
Background
Grain drying-machine is the hot-blast stoving case, adopts convolution formula 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 handle, thoroughly solves the discoloration phenomenon 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 relieving 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 system 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 achieve the purpose, the invention is realized by the following technical scheme:
an embedded weighing system for detecting the weight of grains in a dryer in real time comprises a controller, a client terminal and a server, wherein the controller is in data communication with the server through a wireless communication module;
the device also comprises a front-end pressure detection module, a controller and a controller, wherein the front-end pressure detection module is connected with the controller and is arranged at the bottom of the relieving bin and used for detecting the unit area bearing pressure p at the bottom of the relieving bin;
the relieving bin cross-sectional area detection module is connected with the controller and is used for detecting the cross-sectional area S at the bottom of the relieving bin;
a moisture content detection module connected with the controller for detecting the moisture content of the grain inside the drying bin
Figure BDA0003072822250000021
The drying bin volume detection module is connected with the controller and is used for detecting the internal volume V of the drying bin;
the grain weight calculation module of the relieving bin is connected with the server and used for calculating the dry weight W of grains in the relieving bin according to the detection results of the front-end pressure detection module, the sectional area detection module of the relieving bin and the moisture content detection module 1
A drying bin grain weight calculation module connected with the server and used for calculating the grain dry weight W in the drying bin according to the detection results of the drying bin volume detection module and the moisture content detection module 2
And the drying machine workload statistical module is connected with the server and is used for counting the dry weight W of the grains dried by the drying machine in a unit drying period according to the calculation results of the relieving bin grain weight calculation module and the drying bin grain weight calculation module.
Preferably, the grain weight calculation module of the relaxing bin calculates the dry weight W of grains in the relaxing bin according to the following formula 1
Figure BDA0003072822250000022
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 BDA0003072822250000031
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 grain weight calculation module of the drying bin estimates the wet weight W' of the grains in the drying bin according to the internal volume V of the drying bin, and calculates the dry weight W of the grains in the drying bin according to the following formula 2
Figure BDA0003072822250000032
Wherein,
Figure BDA0003072822250000033
the moisture content of the grains in the drying bin.
Preferably, the controller sends a detection data packet to the server through the wireless communication module at intervals in the whole drying process, and the dryer workload statistic module calculates the dry weight W of the dried grains in a unit drying period according to the following formula:
W=W 1 +W 2
and the dry weight W of the grains dried in the unit drying period which tends to be stable is taken as the working capacity of the dryer.
Preferably, the step 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 comprises the following steps:
and when the operation quantity counting module of the dryer judges that the differences of the adjacent detection results of three consecutive times are 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 quantity of the dryer.
Preferably, the moisture content detection module calculates the impedance R of grains in the drying bin through the following formula n Capacitive reactance C n
Figure BDA0003072822250000034
Figure BDA0003072822250000035
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 the two, f is the frequency of the electrical signal applied to the reference resistor R.
Preferably, the moisture 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 grains in the drying bin by the following formulaRate of change
Figure BDA0003072822250000041
Figure BDA0003072822250000042
Figure BDA0003072822250000043
Wherein A is 1 、B 1 、C 1 、D 1 And A 2 、B 2 、C 2 、D 2 Are fitting parameters related to grain species.
Preferably, the dryer further comprises a positioning module installed on the dryer, the controller receives detection data of the front-end pressure detection module, the relieving bin sectional area detection module, the moisture 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, packages the detection data packet, 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 system 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 relaxing 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.
Drawings
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 embodiments or the prior art descriptions 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 diagram of the system 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 system for real-time detection of grain weight in a dryer, as shown in fig. 1 and 2, includes a controller, the controller establishing data communication with a server through a wireless communication module, the server establishing data communication with a client terminal;
the device also comprises a front-end pressure detection module, a controller and a control module, wherein the front-end pressure detection module is connected with the controller, is arranged at the bottom of the relieving bin and is used for detecting the unit area bearing pressure p at the bottom of the relieving bin;
the relieving bin cross-sectional area detection module is connected with the controller and is used for detecting the cross-sectional area S at the bottom of the relieving bin;
a moisture content detection module connected with the controller for detecting the moisture content of the grain in the drying bin
Figure BDA0003072822250000051
The drying bin volume detection module is connected with the controller and is used for detecting the internal volume V of the drying bin;
the slow-relieving bin grain weight calculation module is connected with the server and used for calculating the slow-relieving bin according to detection results of the front-end pressure detection module, the slow-relieving bin sectional area detection module and the water content detection moduleGrain dry weight W inside the bin 1
A drying bin grain weight calculation module which is connected with the server and used for calculating the grain dry weight W inside the drying bin according to the detection results of the drying bin volume detection module and the moisture content detection module 2
And the drying machine workload statistical module is connected with the server and is used for counting the dry weight W of the grains dried by the drying machine in a unit drying period according to the calculation results of the grain weight calculation module of the relieving bin and the grain weight calculation module of the drying bin.
The moisture content detection module calculates the impedance R of grains in the drying bin through the following formula n Capacitive reactance C n
Figure BDA0003072822250000061
Figure BDA0003072822250000062
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 the two, f is the frequency of the electrical signal applied to the reference resistor R.
The moisture 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 grains in the drying bin by the following formula
Figure BDA0003072822250000063
Figure BDA0003072822250000064
Figure BDA0003072822250000065
Wherein A is 1 、B 1 、C 1 、D 1 And A 2 、B 2 、C 2 、D 2 Are fitting parameters related to 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 BDA0003072822250000066
And detecting, and performing compensation calculation for the grain weight in the subsequent relieving bin and the drying bin to provide data support. Because in the whole drying operation process of the dryer, the grain inside the dryer is in the state of constantly flowing in the relieving bin and the drying bin, the moisture content of the grain inside the drying bin can be used
Figure BDA0003072822250000067
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 BDA0003072822250000068
The detection of (2) has an effect.
The grain weight calculation module of the relieving bin calculates the dry weight W of grains in the relieving bin through the following formula 1
Figure BDA0003072822250000071
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 BDA0003072822250000072
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.
The grain weight calculation module of the drying bin estimates the wet weight W' of grains in the drying bin according to the internal volume V of the drying bin and calculates the dry weight W of grains in the drying bin through the following formula 2
Figure BDA0003072822250000073
Wherein,
Figure BDA0003072822250000074
the moisture content of the grains in the drying bin.
The controller sends a detection data packet to the server through the wireless communication module at intervals in the whole drying process, and the operation amount statistical module of the dryer calculates the dry weight W of the dried grains in a unit drying period through the following formula:
W=W 1 +W 2
and the dry weight W of the grains dried in a unit drying period which tends to be stable is taken as the working capacity of the dryer.
Wherein, the dry weight W of the grain dried in a unit drying period which tends to be stable is used as the working capacity of the dryer, and the method comprises the following steps:
and when the operation quantity counting module of the dryer judges that the differences of the adjacent detection results of three consecutive times are 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 quantity of the dryer.
When the dryer work amount counting module judges that the difference of 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, and the grains are in a stable flowing state in the relaxing bin and the drying bin, and the average value of the dry weight W of the grains dried in the four unit drying periods is taken as the dryer work amount, so that the detection error can be effectively reduced.
The controller receives detection data of the front-end pressure detection module, the relieving bin sectional area detection module, the moisture content detection module and the drying bin volume detection module, the detection data are packaged together with the identity number of the internal special equipment and the positioning result of the positioning module to generate a detection data packet, and the detection data packet is sent to the server through the wireless communication module.
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.
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.
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.
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 should 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 and substitutions do not depart from the spirit and scope of the corresponding technical solutions.

Claims (9)

1. The utility model provides an bury formula weighing system that is used for grain weight in real-time detection drying-machine which characterized in that: the system comprises a controller, wherein the controller establishes data communication with a server through a wireless communication module, and the server establishes data communication with a client terminal;
the front-end pressure detection module is connected with the controller, is arranged at the bottom of the relieving bin and is used for detecting the unit area bearing pressure p at the bottom of the relieving bin;
the relieving bin cross-sectional area detection module is connected with the controller and is used for detecting the cross-sectional area S at the bottom of the relieving bin;
a moisture content detection module connected with the controller for detecting the moisture content of the grain inside the drying bin
Figure FDA0003072822240000013
The drying bin volume detection module is connected with the controller and is used for detecting the internal volume V of the drying bin;
the grain weight calculation module of the relieving bin is connected with the server and used for calculating the dry weight W of grains in the relieving bin according to the detection results of the front-end pressure detection module, the sectional area detection module of the relieving bin and the moisture content detection module 1
A drying bin grain weight calculation module connected with the server and used for calculating the grain dry weight W in the drying bin according to the detection results of the drying bin volume detection module and the moisture content detection module 2
And the drying machine workload statistical module is connected with the server and is used for counting the dry weight W of the grains dried by the drying machine in a unit drying period according to the calculation results of the relieving bin grain weight calculation module and the drying bin grain weight calculation module.
2. The embedded weighing system for real-time weighing of grain in a dryer of claim 1, wherein: the grain weight calculation module of the relieving bin calculates the dry weight W of grains in the relieving bin through the following formula 1
Figure FDA0003072822240000011
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 FDA0003072822240000012
the moisture content of the grains in the drying bin.
3. The embedded weighing system for real-time weighing of grain in a dryer of claim 2, wherein: the inside rabbling mechanism that is used for stirring cereal that is equipped with of slow storehouse.
4. The embedded weighing system for real-time weighing of grain in a dryer of claim 2, wherein: the drying bin grain weight calculation module estimates the wet weight W' of grains in the drying bin according to the internal volume V of the drying bin and calculates the dry weight W of grains in the drying bin through the following formula 2
Figure FDA0003072822240000021
Wherein,
Figure FDA0003072822240000022
the moisture content of the grains in the drying bin.
5. The embedded weighing system of claim 4, wherein the embedded weighing system is configured to measure the weight of the grain in the dryer in real time: the controller sends a detection data packet to the server through the wireless communication module at intervals in the whole drying process, and the operation amount counting module of the dryer calculates the dry weight W of the dried grains in a unit drying period through the following formula:
W=W 1 +W 2
and the dry weight W of the grains dried in a unit drying period which tends to be stable is taken as the working capacity of the dryer.
6. The embedded weighing system of claim 5, wherein the embedded weighing system is configured to measure the weight of the grain in the dryer in real time: the method for 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 comprises the following steps:
and when the dryer workload statistical module judges that the differences of the adjacent detection results of three continuous times are 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 dryer workload.
7. The embedded weighing system of claim 5, wherein the embedded weighing system is configured to measure the weight of the grain in the dryer in real time: the moisture content detection module calculates the impedance R of grains in the drying bin through the following formula n Capacitive reactance C n
Figure FDA0003072822240000031
Figure FDA0003072822240000032
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.
8. The embedded weighing system for real-time weighing of grain in a dryer of claim 7, wherein: the moisture 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 grains in the drying bin by the following formulaRate of change
Figure FDA0003072822240000033
Figure FDA0003072822240000034
Figure FDA0003072822240000035
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.
9. The embedded weighing system 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 moisture content detection module and the drying bin volume detection module, generates a detection data packet together with the identity number of the internal special equipment and the positioning result of the positioning module by packaging, and sends the detection data packet to the server through the wireless communication module.
CN202110543942.4A 2021-05-19 2021-05-19 Embedded weighing system for detecting weight of grains in dryer in real time Expired - Fee Related CN113175981B (en)

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103994908A (en) * 2014-05-26 2014-08-20 中国矿业大学(北京) Method for accurately preparing experiment test samples with different water contents
CN207675279U (en) * 2018-01-12 2018-07-31 新疆大学 Grain drying tower automatically controls continuous weight-measuring device
CN109708460A (en) * 2019-01-30 2019-05-03 深圳市森控科技有限公司 A kind of drying system and its control method and control device
CN109857053A (en) * 2019-02-20 2019-06-07 合肥智纳农业科技有限公司 A kind of energy-saving type grain drying machine control system
CN211602116U (en) * 2019-10-24 2020-09-29 江苏沃得高新农业装备有限公司 Device capable of detecting grain weight in dryer in real time

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111527192A (en) * 2017-12-28 2020-08-11 嘉士伯有限公司 Method for producing cereal extract and method for processing the extract into beverage

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103994908A (en) * 2014-05-26 2014-08-20 中国矿业大学(北京) Method for accurately preparing experiment test samples with different water contents
CN207675279U (en) * 2018-01-12 2018-07-31 新疆大学 Grain drying tower automatically controls continuous weight-measuring device
CN109708460A (en) * 2019-01-30 2019-05-03 深圳市森控科技有限公司 A kind of drying system and its control method and control device
CN109857053A (en) * 2019-02-20 2019-06-07 合肥智纳农业科技有限公司 A kind of energy-saving type grain drying machine control system
CN211602116U (en) * 2019-10-24 2020-09-29 江苏沃得高新农业装备有限公司 Device capable of detecting grain weight in dryer in real time

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