CN212693734U - Cereal detection device that mildenes and rot based on sensor array - Google Patents
Cereal detection device that mildenes and rot based on sensor array Download PDFInfo
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- CN212693734U CN212693734U CN202021433745.4U CN202021433745U CN212693734U CN 212693734 U CN212693734 U CN 212693734U CN 202021433745 U CN202021433745 U CN 202021433745U CN 212693734 U CN212693734 U CN 212693734U
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- 235000013339 cereals Nutrition 0.000 title claims abstract description 25
- 238000001514 detection method Methods 0.000 title claims abstract description 16
- 238000005070 sampling Methods 0.000 claims abstract description 22
- 239000002912 waste gas Substances 0.000 claims abstract description 9
- 239000007789 gas Substances 0.000 claims description 23
- 230000004044 response Effects 0.000 claims description 15
- QGZKDVFQNNGYKY-UHFFFAOYSA-N Ammonia Chemical compound N QGZKDVFQNNGYKY-UHFFFAOYSA-N 0.000 claims description 10
- HSJKGGMUJITCBW-UHFFFAOYSA-N 3-hydroxybutanal Chemical compound CC(O)CC=O HSJKGGMUJITCBW-UHFFFAOYSA-N 0.000 claims description 8
- 239000000428 dust Substances 0.000 claims description 6
- 150000001335 aliphatic alkanes Chemical class 0.000 claims description 5
- 150000001412 amines Chemical class 0.000 claims description 5
- 229910021529 ammonia Inorganic materials 0.000 claims description 5
- NINIDFKCEFEMDL-UHFFFAOYSA-N Sulfur Chemical compound [S] NINIDFKCEFEMDL-UHFFFAOYSA-N 0.000 claims description 4
- 229910052717 sulfur Inorganic materials 0.000 claims description 4
- 239000011593 sulfur Substances 0.000 claims description 4
- 239000004464 cereal grain Substances 0.000 abstract description 2
- 238000012031 short term test Methods 0.000 abstract description 2
- 238000000034 method Methods 0.000 description 6
- 238000012360 testing method Methods 0.000 description 4
- 241001480061 Blumeria graminis Species 0.000 description 3
- 229920000742 Cotton Polymers 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 244000068988 Glycine max Species 0.000 description 2
- 235000010469 Glycine max Nutrition 0.000 description 2
- 240000007594 Oryza sativa Species 0.000 description 2
- 235000007164 Oryza sativa Nutrition 0.000 description 2
- 241000209140 Triticum Species 0.000 description 2
- 235000021307 Triticum Nutrition 0.000 description 2
- 230000001276 controlling effect Effects 0.000 description 2
- 229910044991 metal oxide Inorganic materials 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 239000013618 particulate matter Substances 0.000 description 2
- 235000009566 rice Nutrition 0.000 description 2
- 241000238631 Hexapoda Species 0.000 description 1
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical group [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 description 1
- 240000008042 Zea mays Species 0.000 description 1
- 235000005824 Zea mays ssp. parviglumis Nutrition 0.000 description 1
- 235000002017 Zea mays subsp mays Nutrition 0.000 description 1
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000000576 coating method Methods 0.000 description 1
- 235000005822 corn Nutrition 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000007599 discharging Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000003203 everyday effect Effects 0.000 description 1
- 235000013305 food Nutrition 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 239000012535 impurity Substances 0.000 description 1
- 229910052744 lithium Inorganic materials 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 229910052751 metal Inorganic materials 0.000 description 1
- 239000002184 metal Substances 0.000 description 1
- 150000004706 metal oxides Chemical class 0.000 description 1
- 244000005700 microbiome Species 0.000 description 1
- 229910052760 oxygen Inorganic materials 0.000 description 1
- 239000001301 oxygen Substances 0.000 description 1
- 239000002245 particle Substances 0.000 description 1
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Abstract
The application discloses a sensor array-based cereal mildew detection device, which comprises an inner part and an outer part, wherein a sampling pipe is communicated from the outer part of the device to the inner part of the device; the device is also internally provided with a system mainboard and an air pump which are communicated with the sensor array; a display screen is arranged outside the device and is electrically connected with the system mainboard; the device is also provided with a waste gas outlet outside, and the waste gas outlet is communicated with the air pump; the device is also provided with a power switch outside, and the power switch is electrically connected with the system mainboard; the device is internally provided with a rechargeable battery which is respectively and electrically connected with a charging interface and a power switch which are arranged outside the device. This application can carry out short-term test to whether cereal grain mildenes and rot.
Description
Technical Field
The application relates to the technical field of agriculture, particularly relates to a cereal mildew detection device based on sensor array.
Background
People need to take grains such as soybean, corn, wheat, rice and the like every day, and the quality of the grains is directly related to the health of people. During the storage of cereals, they are mildewed due to the influence of temperature, humidity, oxygen, microorganisms and insects. Some changes can be found through vision and smell, and some slight changes cannot be found through vision and smell, and people can only feel when the quality changes greatly, but the deteriorated cereal food eaten before causes harm to human bodies.
Therefore, a detection device capable of rapidly detecting the mildewing of the grain is urgently needed in the field.
SUMMERY OF THE UTILITY MODEL
The utility model provides a main aim at provides a cereal detection device that mildenes and rot based on sensor array can go on short-term test to whether mildenes and rot of cereal grain.
In order to achieve the above object, the present application provides the following techniques:
a sensor array-based cereal mildew detection device comprises an inner part and an outer part, wherein a sampling pipe is communicated from the outer part of the device to the inner part of the device, and a sensor array is arranged in the device and is communicated with the pipe orifice of the sampling pipe; the device is also internally provided with a system mainboard and an air pump which are communicated with the sensor array; a display screen is arranged outside the device and is electrically connected with the system mainboard; the device is also provided with a waste gas outlet outside, and the waste gas outlet is communicated with the air pump; the device is also provided with a power switch outside, and the power switch is electrically connected with the system mainboard; the device is internally provided with a rechargeable battery which is respectively and electrically connected with a charging interface and a power switch which are arranged outside the device.
Optionally, a USB interface is further disposed outside the device, and the USB interface is electrically connected to the system motherboard.
Optionally, the device is further provided with a three-way electromagnetic valve inside, an input end of the three-way electromagnetic valve is communicated with the sampling pipe, an output end of the three-way electromagnetic valve is communicated with the sensor array, another input end of the three-way electromagnetic valve is communicated with the zero gas filter, and a zero gas inlet is arranged outside the device and is communicated with the zero gas filter.
Optionally, the sampling tube is vented to the atmosphere via a single tube.
Optionally, a particulate matter filter screen is arranged at the input end of the sampling pipe; and a dust and moisture filter communicated with the three-way electromagnetic valve is arranged on the sampling pipe positioned outside the device.
Optionally, the sensor array includes ammonia and amine-based response sensors, sulfur-based group response sensors, alkane-based response sensors, and aldol-based group response sensors.
Optionally, the ammonia and amine responsive sensor is an MOS sensor W3C of type AIRSENSE.
Alternatively, the sulfur-based group response sensor may be a MOS sensor W1W of type AIRSENSE.
Optionally, the alkane responsive sensor is a MOS sensor W1S of type AIRSENSE.
Alternatively, the aldol-based group response sensing uses a MOS sensor W2S of type AIRSENSE.
Compared with the prior art, this application can bring following technological effect: through the cooperation of sensor array and system mainboard, can the accurate data that measure the detection material quality change, easy operation realizes fast, has greatly strengthened the practicality.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, serve to provide a further understanding of the application and to enable other features, objects, and advantages of the application to be more apparent. The drawings and their description illustrate the embodiments of the invention and do not limit it. In the drawings:
FIG. 1 is a schematic view of the connection structure of the device for detecting cereal mildew in the present invention;
fig. 2 is a schematic diagram of the transmission flow of the device for detecting the mildew of the grains.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but 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 application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be used. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In this application, the terms "upper", "lower", "left", "right", "front", "rear", "top", "bottom", "inner", "outer", "middle", "vertical", "horizontal", "lateral", "longitudinal", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings. These terms are used primarily to better describe the present application and its embodiments, and are not used to limit the indicated devices, elements or components to a particular orientation or to be constructed and operated in a particular orientation.
Moreover, some of the above terms may be used to indicate other meanings besides the orientation or positional relationship, for example, the term "on" may also be used to indicate some kind of attachment or connection relationship in some cases. The specific meaning of these terms in this application will be understood by those of ordinary skill in the art as appropriate.
In addition, the term "plurality" shall mean two as well as more than two.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
In example 1, as shown in fig. 1, a sensor array-based cereal mildew detection device comprises an inner part and an outer part, wherein a sampling pipe is communicated from the outer part of the device to the inner part of the device, and a sensor array is arranged in the inner part of the device and is communicated with the nozzle of the sampling pipe; the device is also internally provided with a system mainboard and an air pump which are communicated with the sensor array; a display screen is arranged outside the device and is electrically connected with the system mainboard; the device is also provided with a waste gas outlet outside, the waste gas outlet is communicated with an air pump, and the air pump is electrically connected with the system mainboard; the device is also provided with a power switch outside, and the power switch is electrically connected with the system mainboard; the device is internally provided with a rechargeable battery which is respectively and electrically connected with a charging interface and a power switch which are arranged outside the device.
Specifically, the sampling tube is made of metal, the length of the sampling tube can be referred to as 20cm, and the input end port of the sampling tube can be set to be an oblique angle so as to be conveniently inserted into the grain bag; the sensor on the sensor array is connected with the system main board through a lead and is used for detecting the gas output by the sampling pipe; the air pump is controlled by the system mainboard to provide negative pressure for the sensor array, so that the sampling pipes communicated with the sensor array collect gas for a detection target, after the gas passes through the sensor array, the sensors in the sensor array can transmit response signals to the system mainboard, and then the system mainboard processes the data and displays the processed data to a display screen for a worker to check whether the data is mildewed or not; meanwhile, the air pump pumps the gas or residual gas passing through the sensor array to a waste gas outlet for discharging; one end of the power switch is communicated with the system mainboard through a wire, and the other end of the power switch is communicated with the rechargeable battery through a wire, so that a user can manually control the switch of the whole device; the rechargeable battery is a lithium battery with the model number of 18650, is communicated with a charging interface through a wire and is connected with an external power supply through the charging interface to be charged; the zero gas filter is communicated with the sensor array through a pipeline, and a filter screen is arranged at the interface of the zero gas filter; the USB interface is used for exporting data in the system mainboard and regulating and controlling the data through external connection; the input port of the sampling pipe is provided with a particulate matter filter screen; the dust and moisture filter comprises dust filter cotton and a moisture filter, the dust filter cotton is fixed in the sampling pipe and positioned between the particle filter screen and the three-way electromagnetic valve, and the moisture filter with the aperture of 0.45um is arranged behind the dust filter cotton; the sensor selection in the sensor array comprises selecting metal oxide MOS sensors produced by Germany AIRSENSE or Japanese Figali, the sensors can have different response characteristics, sensitive sensing and outstanding performance by selecting parameters such as metal oxide surface coatings, working temperature and the like, and comprise ammonia and amine response MOS sensors W3C, sulfur group response MOS sensors W1W, alkane response MOS sensors W1S and alcohol aldehyde group response MOS sensors W2S.
Furthermore, the sensor array responds to the gas response signals volatilized by the grains, 4 sensors respond to 4 signals, and the corresponding curve relation between the sensor signals and the degree of the mildew of the grains is fitted through a PLS algorithm pre-installed in a system main board. Setting a plurality of analysis model selections in a system mainboard: the system comprises a soybean mildew analysis model, a corn mildew analysis model, a wheat mildew analysis model, a rice mildew analysis model and a custom sample mildew analysis model, wherein when the system is used, a user selects the corresponding analysis model and then starts to use the system. According to the mildew data information obtained by the analysis model, the mildew result is divided into 6 grades: grade 0 is no mildew; grade 1 is slight mildew; grade 2 is mild mildew; grade 3 is poisoning and mildewing; grade 4 is severe mildew; grade 5 is overweight mildew.
Furthermore, a hand-held handle can be fixedly connected to the exterior of the device, a rechargeable battery, a zero-air filter and the like can be installed in the handle, and the rechargeable battery, the zero-air filter and the like are correspondingly communicated with a system main board or a three-way battery valve.
Further, as shown in fig. 2, a user firstly touches and turns on a power switch, a system main board is started, a display screen shows a picture, the system main board is turned on in a self-checking mode and enters a standby state, a gas circuit is in a zero gas opening state in the standby state, a sensor automatically cleans and checks zero, namely, a gas pump works, a zero gas inlet sucks in air, a zero gas filter screens out impurities, and then screened gas flows into a sensor array to flush the internal sensor of the sensor; the user can select an analysis model on the display screen, namely the type of the detected sample, and if the corn mildew test is selected, the corn mildew analysis model is selected; clicking detection, automatically switching a gas path to sample gas inlet by the instrument, namely controlling a three-way electromagnetic valve to close a channel with a zero gas filter, starting analysis, and obtaining an analysis result, namely, a plurality of stages of mildewing after analyzing preset time; then the device defaults to return to a standby state, the sensor is automatically cleaned and zero-calibrated, and the next sample can be tested after the default time is preset. In the actual test, the data result is stored by the information of an operator, test time, a sample serial number, a test result and the like, historical data can be checked through a display screen, and the data can also be downloaded to a computer for checking; the internal data information storage capacity of the instrument exceeds 5000 pieces.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (10)
1. A sensor array-based cereal mildew detection device comprises an inner part and an outer part, and is characterized in that a sampling pipe is communicated from the outer part of the device to the inner part of the device, and a sensor array is arranged in the device and communicated with the pipe orifice of the sampling pipe; the device is also internally provided with a system mainboard and an air pump which are communicated with the sensor array; a display screen is arranged outside the device and is electrically connected with the system mainboard; the device is also provided with a waste gas outlet outside, the waste gas outlet is communicated with an air pump, and the air pump is electrically connected with the system mainboard; the device is also provided with a power switch outside, and the power switch is electrically connected with the system mainboard; the device is internally provided with a rechargeable battery which is respectively and electrically connected with a charging interface and a power switch which are arranged outside the device.
2. The sensor array-based cereal mildew detection device according to claim 1, wherein a USB interface is further provided outside said device, and said USB interface is electrically connected with a system motherboard.
3. The sensor array-based cereal mildew detection device according to claim 1 or 2, wherein a three-way solenoid valve is further arranged in the device, an input end of the three-way solenoid valve is communicated with the sampling pipe, an output end of the three-way solenoid valve is communicated with the sensor array, the other input end of the three-way solenoid valve is communicated with a zero gas filter, and a zero gas inlet is arranged outside the device and is communicated with the zero gas filter.
4. The sensor array-based device for detecting cereal mildew according to claim 3, wherein said sampling tube is single-tube vented.
5. The sensor array-based cereal mildew detection device of claim 1, 2 or 4 wherein said sampling tube is provided at its input end with a particulate filter; and a dust and moisture filter communicated with the three-way electromagnetic valve is arranged on the sampling pipe positioned outside the device.
6. The device for detecting cereal mildew according to claim 1, 2 or 4 wherein said sensor array comprises ammonia and amine based responsive sensors, sulfur based group responsive sensors, alkane based group responsive sensors and aldol based group responsive sensors.
7. The sensor array-based device of claim 6, wherein the ammonia and amine responsive sensor is a MOS sensor W3C of type AIRSENSE.
8. The sensor array-based cereal mildew detection device of claim 6 wherein the sulfur species group response sensor is MOS sensor W1W of type AIRSENSE.
9. The sensor array-based device of claim 6, wherein the alkane responsive sensor is a MOS sensor W1S of the type AIRSENSE.
10. The sensor array-based device for detecting cereal mildew according to claim 6 wherein the aldol-based group response sensor is a MOS sensor W2S of the type AIRSENSE.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202021433745.4U CN212693734U (en) | 2020-07-20 | 2020-07-20 | Cereal detection device that mildenes and rot based on sensor array |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202021433745.4U CN212693734U (en) | 2020-07-20 | 2020-07-20 | Cereal detection device that mildenes and rot based on sensor array |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN212693734U true CN212693734U (en) | 2021-03-12 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202021433745.4U Active CN212693734U (en) | 2020-07-20 | 2020-07-20 | Cereal detection device that mildenes and rot based on sensor array |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN212693734U (en) |
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- 2020-07-20 CN CN202021433745.4U patent/CN212693734U/en active Active
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