CN115290386B - Sampling identification processing method, device, equipment and storage medium - Google Patents

Sampling identification processing method, device, equipment and storage medium Download PDF

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CN115290386B
CN115290386B CN202210921930.5A CN202210921930A CN115290386B CN 115290386 B CN115290386 B CN 115290386B CN 202210921930 A CN202210921930 A CN 202210921930A CN 115290386 B CN115290386 B CN 115290386B
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information
sampling
pipeline
preset
vehicle
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CN115290386A (en
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李宏典
李晓南
唐开梁
刘惊山
曹东亮
李海杰
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Hangzhou Liangtai Intelligent Technology Co ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N1/00Sampling; Preparing specimens for investigation
    • G01N1/02Devices for withdrawing samples
    • G01N1/10Devices for withdrawing samples in the liquid or fluent state
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/60Type of objects
    • G06V20/62Text, e.g. of license plates, overlay texts or captions on TV images
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N1/00Sampling; Preparing specimens for investigation
    • G01N1/02Devices for withdrawing samples
    • G01N1/10Devices for withdrawing samples in the liquid or fluent state
    • G01N2001/1031Sampling from special places
    • 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
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

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Abstract

The application relates to a sampling identification processing method, a device, equipment and a storage medium, which relate to the technical field of flow rate control and comprise the following steps: acquiring vehicle information and sampling information, judging whether license plate information accords with preset license plate information, generating voice broadcasting information when the license plate information does not accord with the preset license plate information, determining whether a vehicle enters a preset sampling position according to the vehicle size information and the sampling image information when the license plate information accords with the preset license plate information, determining a grain area based on the sampling image information if the vehicle enters the preset sampling position, judging whether the sampling position information is in the grain area, generating an abnormal alarm instruction when the sampling position information is not in the grain area, controlling preset alarm equipment to perform alarm response, and generating a grain sampling instruction when the sampling position information is in the grain area, and controlling the sampling equipment to sample grains. The sampling device has the effect of improving the sampling efficiency of the sampling machine.

Description

Sampling identification processing method, device, equipment and storage medium
Technical Field
The application relates to the technical field of grain sampling, in particular to a sampling identification processing method, a sampling identification processing system and a storage medium.
Background
At present, when the sampling machine is controlled to sample samples in the market, the sampling is mainly realized by manually controlling the position of the sampling machine or manually inputting truck parameters or IC card identification and other non-intelligent modes. The intelligent sample automatic identification and full-automatic sample automatic identification technology has the defects of manual cheating, low efficiency, high labor cost and the like, and is an urgent problem to be solved in the prior art in order to liberate productivity and improve the sample automatic identification efficiency. The intelligent degree of the existing sampler in the market is low, so that the problem of low sampling efficiency of the sampler exists.
Disclosure of Invention
In order to improve sampling efficiency of a sampling machine, the application provides a sampling identification processing method, a device, equipment and a storage medium.
In a first aspect, the present application provides a method for identifying and processing a sample, which adopts the following technical scheme:
a method of identifying and processing a skewer, comprising:
acquiring vehicle information and sampling information, wherein the vehicle information comprises vehicle size information and license plate information, and the sampling information comprises sampling image information and sampling position information;
judging whether the license plate information accords with preset license plate information or not;
if the license plate information does not accord with the preset license plate information, generating voice broadcasting information;
If the license plate information accords with the preset license plate information, determining whether a vehicle enters a preset sampling position according to the vehicle size information and the sampling image information, if the vehicle enters the preset sampling position, determining a grain area based on the sampling image information, and judging whether the sampling position information is in the grain area;
if the sampling position information is not in the grain area, generating an abnormal alarm instruction, and controlling preset alarm equipment to perform alarm response;
and if the sampling position information is in the grain area, generating a grain sampling instruction, and controlling the sampling equipment to sample grains.
By adopting the technical scheme, when the grain is sampled, whether license plate information corresponding to the vehicle information accords with preset license plate information is judged by acquiring the vehicle information, if the license plate information does not accord with the preset license plate information, the current vehicle is not the sampled vehicle, so voice broadcasting report information is generated, staff is informed that the current vehicle is abnormal, the effect of screening the sampled vehicle is achieved, if the license plate information accords with the preset sampling position, the vehicle is determined to enter the preset sampling position according to the vehicle size information and the sampled image information, when the vehicle enters the preset sampling position, a grain area is determined according to the sampled image information, and whether the sampled position information is in the grain area is judged, when the sampled position information is in the grain area, grain sampling instructions are generated, the sampled equipment is controlled to sample the grain, when the sampled position is not in the grain area, abnormal alarm instructions are generated, the staff is controlled to respond to the alarm, and the staff is informed that the sampled is abnormal, so that the effect of improving the sampling efficiency of the sampled machine is achieved.
In another possible implementation, the method further includes:
when the sampling instruction is detected, sampling pipe information is acquired;
determining sampling main pipeline information and sampling auxiliary pipeline information based on the sampling pipeline information, wherein the sampling auxiliary pipeline information is pipeline information which is positioned at different positions of the pipeline of the sampling main pipeline information and is communicated with the pipeline of the sampling main pipeline information;
dividing the information of the sampling main pipeline into intervals according to the pipeline connection points of the information of the sampling main pipeline and the information of the sampling auxiliary pipeline to obtain a plurality of sampling pipeline intervals;
acquiring air pressure information of each sampling pipe section, and determining section pressure difference values of adjacent sampling pipe sections based on the air pressure information;
and judging whether the interval pressure difference value accords with a preset pressure difference range, if not, generating a pipeline switching instruction, and controlling the pipeline at the pipeline connection point corresponding to the interval pressure difference value in the sampling auxiliary pipeline information to be opened.
By adopting the technical scheme, when monitoring sampling pipe channels of a sampling machine, sampling pipe channel information is acquired, then sampling main pipe information and sampling auxiliary pipe information are determined according to the sampling pipe channel information, then the sampling main pipe is divided according to the pipe connection points of the sampling main pipe information and the sampling auxiliary pipe information, a plurality of sampling pipe channel intervals and interval pressure difference values of adjacent sampling pipe channel intervals are obtained, then whether the interval pressure difference values accord with a preset pressure difference range or not is judged, if the interval pressure difference values do not accord with the preset pressure difference range, the current sampling main pipe is indicated to be blocked, so that a pipe switching instruction is generated, the pipe at the pipe connection point corresponding to the interval pressure difference value in the sampling auxiliary pipe information is controlled to be opened, the grain is sampled by using the pipe, and meanwhile, a maintainer performs blocking maintenance on the sampling main pipe, so that the sampling efficiency of the sampling machine is improved.
In another possible implementation manner, the generating a pipeline switching instruction controls the pipeline at the pipeline connection point corresponding to the interval differential pressure value in the skewing auxiliary pipeline information to be opened, and then further includes:
acquiring vehicle image information and current time information, wherein the vehicle image information is top image information of a grain transport vehicle;
performing time sampling analysis on the vehicle image information to generate time position information;
and matching the current time information with the time position information to obtain a real-time sampling position.
Through the technical scheme, when the sampling main pipeline is blocked, grains at the sampling position of the sampling main pipeline are not fed into the grain detection device for detection, so that the time sampling analysis is carried out on the vehicle image information by acquiring the vehicle image information and the current time information, the time position information is generated, then the current time information is matched with the time position information, the real-time sampling position is obtained, namely, the position of the current sampling main pipeline is switched to the corresponding sampling auxiliary pipeline, and the sampling is carried out on the real-time sampling position again, so that the integrity of sampling data is improved.
In another possible implementation manner, the performing time-skewing analysis on the vehicle image information to generate time-position information includes:
acquiring sampling time information, wherein the sampling time information is the time information of each sampling of the sampling main pipeline
Determining the spot position information of each sampling of the sampling main pipeline according to the vehicle image information;
and matching and binding the point position information with the sampling time information to obtain time position information.
Through adopting above-mentioned technical scheme, when detecting sample position and sample time, obtain the sample time information when the sample trunk line at every turn samples, then confirm the point location information of sample trunk line at every turn according to vehicle image information, match binding point location information and sample time information, obtain time location information to be convenient for learn the sample order to grain sample.
In another possible implementation manner, the determining, according to the vehicle image information, the point position information of each sampling of the sampling main pipe further includes:
judging whether the vehicle image in the vehicle image information meets a preset requirement or not;
If the vehicle image in the vehicle image information meets the preset requirement, a sampling coordinate system is established based on the vehicle image information, and the point position information and the sampling coordinate system are integrated to obtain sampling distribution information;
if the vehicle image in the vehicle image information does not meet the preset requirement, controlling the alarm equipment to output an alarm signal in a preset mode, wherein the preset mode comprises at least one of the following steps: and outputting a sound mode and a light output mode.
By adopting the technical scheme, when the sampling machine is subjected to sampling management, whether the vehicle image in the vehicle information meets the preset requirement is judged, when the vehicle image meets the preset requirement, namely the vehicle image information contains the complete vehicle image, then a sampling coordinate system is created according to the vehicle image information, and the point position information and the sampling coordinate system are integrated to obtain sampling distribution information, so that staff can check whether the condition of non-uniformity of the sampling exists, and when the condition of non-uniformity of the sampling does not exist, namely the vehicle image which does not appear in the vehicle image information is represented, the alarm equipment is controlled to output alarm information, and the staff is informed to adjust the position of the vehicle.
In another possible implementation manner, the acquiring the air pressure information of each sampling pipe section further includes:
calculating an average air pressure value in the sampling main pipeline based on the air pressure information;
and determining whether the average air pressure value is smaller than a preset air pressure value, and if so, generating an air pressure adjusting instruction to control an air pressure adjusting device to adjust the average air pressure value.
By adopting the technical scheme, when the average air pressure value of the sampling main pipeline is monitored, the average air pressure values of different sampling pipeline sections are calculated, then whether the average air pressure value is smaller than a preset air pressure value is judged, if so, the air pressure value of the current sampling main pipeline is too low to switch the sampling auxiliary pipeline, so that an air pressure adjusting instruction is generated, and the air pressure adjusting device is controlled to adjust the average air pressure value, so that the service life of the sampling main pipeline is prolonged.
In another possible implementation manner, air pressure information of each sampling pipe section is obtained, and a section pressure difference value of adjacent sampling pipe sections is determined based on the air pressure information, and then the method further comprises the following steps:
acquiring environmental temperature information, wherein the environmental temperature information is temperature information around the sampling auxiliary pipeline and the sampling main pipeline;
Judging whether the temperature abnormality of the environmental temperature information can cause the abnormality of the interval differential pressure value of the sampling auxiliary pipeline and the sampling main pipeline;
if the temperature abnormality of the environmental temperature information can cause the abnormality of the interval differential pressure value of the sampling auxiliary pipeline and the sampling main pipeline, generating environmental abnormality information, and controlling and displaying the environmental abnormality information.
Through adopting above-mentioned technical scheme, when the sample operation is carried out to the sample trunk line, the inside atmospheric pressure value of ambient temperature easily influences sample trunk line and sample auxiliary line changes, consequently, need monitor the ambient temperature information around sample trunk line and the sample auxiliary line, when the temperature abnormality in the ambient temperature information causes the interval pressure difference value of sample auxiliary line and sample trunk line unusual, then generate the unusual information of environment, inform the staff in time to adjust the atmospheric pressure in sample trunk line and the sample auxiliary line to reduce the circumstances that appears the pipeline jam erroneous judgement.
In a second aspect, the present application provides a device for identifying and processing samples, which adopts the following technical scheme:
an apparatus for identifying and processing samples, comprising:
the information acquisition module is used for acquiring vehicle information and sampling information, wherein the vehicle information comprises vehicle size information and license plate information, and the sampling information comprises sampling image information and sampling position information;
The information judging module is used for judging whether the license plate information accords with preset license plate information or not;
the information generation module is used for generating voice broadcasting information when the license plate information does not accord with the preset license plate information;
the logic processing module is used for determining whether a vehicle enters a preset sampling position according to the vehicle size information and the sampling image information when the license plate information accords with the preset license plate information, determining a grain area based on the sampling image information if the vehicle enters the preset sampling position, and judging whether the sampling position information is in the grain area;
the alarm generation module is used for generating an abnormal alarm instruction when the sampling position information is not in the grain area, and controlling preset alarm equipment to perform alarm response;
and the sampling control module is used for generating a grain sampling instruction when the sampling position information is in the grain area and controlling the sampling equipment to sample grains.
By adopting the technical scheme, when the grain is sampled, whether license plate information corresponding to the vehicle information accords with preset license plate information is judged by acquiring the vehicle information, if the license plate information does not accord with the preset license plate information, the current vehicle is not the sampled vehicle, so voice broadcasting report information is generated, staff is informed that the current vehicle is abnormal, the effect of screening the sampled vehicle is achieved, if the license plate information accords with the preset sampling position, the vehicle is determined to enter the preset sampling position according to the vehicle size information and the sampled image information, when the vehicle enters the preset sampling position, a grain area is determined according to the sampled image information, and whether the sampled position information is in the grain area is judged, when the sampled position information is in the grain area, grain sampling instructions are generated, the sampled equipment is controlled to sample the grain, when the sampled position is not in the grain area, abnormal alarm instructions are generated, the staff is controlled to respond to the alarm, and the staff is informed that the sampled is abnormal, so that the effect of improving the sampling efficiency of the sampled machine is achieved.
In one possible implementation, the method further includes: the device comprises a pipeline acquisition module, a pipeline determination module, a section division module, a differential pressure determination module and a differential pressure judgment module, wherein,
the pipeline acquisition module is used for acquiring sampling pipeline information after detecting the sampling instruction;
the pipeline determining module is used for determining sampling main pipeline information and sampling auxiliary pipeline information based on the sampling pipeline information, wherein the sampling auxiliary pipeline information is pipeline information which is positioned at different positions of the pipeline of the sampling main pipeline information and is communicated with the pipeline of the sampling main pipeline information;
the interval dividing module is used for dividing the sampling main pipeline information into intervals according to pipeline connection points of the sampling main pipeline information and the sampling auxiliary pipeline information to obtain a plurality of sampling pipeline intervals;
the pressure difference determining module is used for acquiring air pressure information of each sampling pipe section and determining section pressure difference values of adjacent sampling pipe sections based on the air pressure information;
the differential pressure judging module is used for judging whether the interval differential pressure value accords with a preset differential pressure range, if not, generating a pipeline switching instruction, and controlling the pipeline at the pipeline connection point corresponding to the interval differential pressure value in the sampling auxiliary pipeline information to be opened.
In another possible implementation, the apparatus further includes: an image acquisition module, an image analysis module and a data matching module, wherein,
the image acquisition module is used for acquiring vehicle image information and current time information, wherein the vehicle image information is top image information of the grain transport vehicle;
the image analysis module is used for carrying out time sampling analysis on the vehicle image information to generate time position information;
and the data matching module is used for matching the current time information with the time position information to obtain a real-time sampling position.
In another possible implementation manner, the image analysis module performs time sampling analysis on the vehicle image information, and when generating time position information, the image analysis module includes:
acquiring sampling time information, wherein the sampling time information is the time information of each sampling of the sampling main pipeline;
determining the spot position information of each sampling of the sampling main pipeline according to the vehicle image information;
and matching and binding the point position information with the sampling time information to obtain time position information.
In another possible implementation, the apparatus further includes: the device comprises an image judging module, a sampling distribution module and an alarm module, wherein,
The image judging module is used for judging whether the vehicle image in the vehicle image information meets the preset requirement or not;
the sampling distribution module is used for creating a sampling coordinate system based on the vehicle image information when the vehicle image in the vehicle image information meets the preset requirement, and integrating the point position information with the sampling coordinate system to obtain sampling distribution information;
the alarm module is used for controlling the alarm equipment to output an alarm signal in a preset mode when the vehicle image in the vehicle image information does not meet the preset requirement, and the preset mode comprises at least one of the following steps: and outputting a sound mode and a light output mode.
In another possible implementation, the apparatus further includes: the average value calculating module and the air pressure adjusting module, wherein,
the average value calculation module is used for calculating an average air pressure value in the sampling main pipeline based on the air pressure information;
the air pressure adjusting module is used for determining whether the average air pressure value is smaller than a preset air pressure value, and if so, generating an air pressure adjusting instruction and controlling the air pressure adjusting device to adjust the average air pressure value.
In another possible implementation, the apparatus further includes: temperature acquisition module, abnormality judgment module and information generation module, wherein
The temperature acquisition module is used for acquiring environmental temperature information, wherein the environmental temperature information is the temperature information around the sampling auxiliary pipeline and the sampling main pipeline;
the abnormality judging module is used for judging whether the temperature abnormality of the environmental temperature information can cause abnormality of the interval differential pressure value of the sampling auxiliary pipeline and the sampling main pipeline;
the information generation module is used for generating environment abnormality information when the temperature abnormality of the environment temperature information can cause abnormality of the interval pressure difference value of the sampling auxiliary pipeline and the sampling main pipeline, and controlling and displaying the environment abnormality information.
In a third aspect, the present application provides an electronic device, which adopts the following technical scheme:
an electronic device, the electronic device comprising:
one or more processors;
a memory;
one or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the one or more processors, the one or more applications configured to: a method of performing a skewer identification process according to any one of the possible implementations of the first aspect is shown.
In a fourth aspect, the present application provides a computer readable storage medium, which adopts the following technical scheme:
A computer-readable storage medium, comprising: a computer program is stored that can be loaded by a processor and that performs a method of implementing a skewing identification process as shown in any one of the possible implementations of the first aspect.
In summary, the present application includes at least one of the following beneficial technical effects:
1. by adopting the technical scheme, when the grain is sampled, whether license plate information corresponding to the vehicle information accords with preset license plate information is judged by acquiring the vehicle information, if the license plate information does not accord with the preset license plate information, the current vehicle is not the sampled vehicle, so voice broadcasting report information is generated, staff is informed that the current vehicle is abnormal, the screening effect of the sampled vehicle is achieved, if the vehicle is accord with the preset sampling position is determined according to the vehicle size information and the sampled image information, when the vehicle enters the preset sampling position, a grain area is determined according to the sampled image information, and whether the sampled position information is in the grain area is judged, when the sampled position information is in the grain area, grain sampling instructions are generated, grain sampling equipment is controlled to sample the grain, when the sampled position information is not in the grain area, abnormal alarm instructions are generated, the staff is controlled to respond to an alarm, and the staff is informed that the sampling abnormality exists currently, so that the effect of improving the sampling efficiency of the sampling machine is achieved;
2. By adopting the technical scheme, when the sampling machine is subjected to sampling management, whether the vehicle image in the vehicle information meets the preset requirement is judged, when the vehicle image meets the preset requirement, namely the vehicle image information contains the complete vehicle image, then a sampling coordinate system is created according to the vehicle image information, and the point position information and the sampling coordinate system are integrated to obtain sampling distribution information, so that staff can check whether the condition of non-uniformity of the sampling exists, and when the condition of non-uniformity of the sampling does not exist, namely the vehicle image which does not appear in the vehicle image information is represented, the alarm equipment is controlled to output alarm information, and the staff is informed to adjust the position of the vehicle.
Drawings
FIG. 1 is a flow chart of a method of identifying samples according to an embodiment of the present application;
FIG. 2 is a schematic diagram of a device for identifying samples according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application;
fig. 4 is intended to show a skewing coordinate system.
Detailed Description
The present application is described in further detail below in conjunction with figures 1-4.
Modifications of the embodiments which do not creatively contribute to the invention may be made by those skilled in the art after reading the present specification, but are protected by patent laws only within the scope of claims of the present application.
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of 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 apparent that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
In addition, the term "and/or" herein is merely an association relationship describing an association object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone. In this context, unless otherwise specified, the term "/" generally indicates that the associated object is an "or" relationship.
Embodiments of the present application are described in further detail below with reference to the drawings attached hereto.
The embodiment of the application provides a method for identifying and processing a sample, which is executed by electronic equipment, wherein the electronic equipment can be a server or terminal equipment, and the server can be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server for providing cloud computing service. The terminal device may be, but is not limited to, a smart phone, a tablet computer, a notebook computer, a desktop computer, etc., and the terminal device and the server may be directly or indirectly connected through wired or wireless communication, which is not limited herein, and as shown in fig. 1, the method includes:
Step S101, acquiring vehicle information and sampling information, wherein the vehicle information comprises vehicle size information and license plate information, and the sampling information comprises sampling image information and sampling position information.
Step S102, judging whether license plate information accords with preset license plate information.
Step S103, if the license plate information does not accord with the preset license plate information, generating voice broadcasting information.
Step S104, if the license plate information accords with the preset license plate information, determining whether the vehicle enters a preset sampling position according to the vehicle size information and the sampling image information, if the vehicle enters the preset sampling position, determining a grain area based on the sampling image information, and judging whether the sampling position information is in the grain area.
Step S105, if the sampling position information is not in the grain area, an abnormal alarm instruction is generated, and the preset alarm equipment is controlled to perform alarm response.
And S106, if the sampling position information is in the grain area, generating a grain sampling instruction, and controlling the sampling equipment to sample grains.
Specifically, radar measurement is carried out on vehicles with different lengths and widths, and after the measurement, image photographing identification is carried out through a camera arranged on a sampling rod, so that the size of the vehicle and the number of sampling points are determined, the quantity of sampling test grains is ensured to be sufficient, and electronic equipment carries out picture identification on the sampling points, so that the situation of damage to the vehicle is avoided;
Identifying whether the sampling position is a grain area (for example, sometimes whether grains are not placed in a truck, a awning or a rain cloth, if the grains are not judged, sampling operation is not performed, if the grains are judged, sampling is performed, and if the grains are displayed in the judgment image, judging whether the grains are displayed in the image);
and identifying the license plate of the vehicle, and controlling the broadcasting equipment to broadcast the identified license plate information after the identification. And whether to register data in the grain depot. If the voice change is not registered, the Zhe Axxx vehicle is not registered. Please register before sampling.
When the sampling point reaches the next point, the shooting device shoots, and the electronic equipment analyzes the picture to determine whether grains exist. And if the grain is sampled. And if the grain is not the grain, carrying out the next point location and the like.
In the embodiment of the application, when the grain is sampled, whether license plate information corresponding to the vehicle information accords with preset license plate information is judged by acquiring the vehicle information, if the license plate information does not accord with the preset license plate information, the current vehicle is not the sampled vehicle, so that voice broadcasting report information is generated, staff is informed that the current vehicle is abnormal, the effect of screening the sampled vehicle is achieved, if the license plate information accords with the preset sampling position, the vehicle is determined to enter the preset sampling position according to the vehicle size information and the sampled image information, when the vehicle enters the preset sampling position, a grain area is determined according to the sampled image information, and whether the sampled position information is in the grain area is judged, when the sampled position information is in the grain area, a sampled instruction is generated, the sampled equipment is controlled to sample the grain, when the sampled position is not in the grain area, an abnormal alarm instruction is generated, the staff is controlled to respond to the alarm, and the staff is informed that the sampled is abnormal, so that the sampled efficiency of the sampled sample is improved.
In one possible implementation manner of the embodiment of the present application, step S106 further includes step S10 (not shown in the figure), step S11 (not shown in the figure), step S12 (not shown in the figure), step S13 (not shown in the figure), and step S14 (not shown in the figure), where,
and S10, after the sampling instruction is detected, acquiring sampling pipe information.
In this application embodiment, the sampling pipe way information includes sampling trunk line information and sampling auxiliary line information, and wherein the sampling trunk line information includes: the length of the sampling main pipeline, the operation state of the sampling main pipeline, the service time of the sampling main pipeline and the like, and the information of the sampling auxiliary pipeline comprises: the auxiliary sampling pipeline is positioned at the height of the main sampling pipeline, the total length of the auxiliary sampling pipeline, the working state of the auxiliary sampling pipeline and the service time of the auxiliary sampling pipeline, wherein the service time of the main sampling pipeline and the service time of the auxiliary sampling pipeline respectively represent the total working time length and the single working time length of the main sampling pipeline and the total working time length and the single working time length of the auxiliary sampling pipeline.
And S11, determining sampling main pipeline information and sampling auxiliary pipeline information based on the sampling pipeline information.
The auxiliary sampling pipeline information is pipeline information which is positioned at different positions of the pipeline of the main sampling pipeline information and is communicated with the pipeline of the main sampling pipeline information.
Specifically, the sampling pipe information is split to obtain the sampling main pipe information and the sampling auxiliary pipe information, and the details of the sampling main pipe information and the sampling auxiliary pipe information in the step S10 can be specifically described with reference to the pipe information in the step S10, which is not described herein.
And S12, dividing the sampling main pipeline information into intervals according to pipeline connection points of the sampling main pipeline information and the sampling auxiliary pipeline information to obtain a plurality of sampling pipeline intervals.
In this embodiment of the present application, the position of the auxiliary sampling pipeline in the main sampling pipeline is allocated according to the air pressure difference at different positions inside the main sampling pipeline, for example: the air pressure difference between the bottom of the sampling main pipeline and 1 meter of the sampling main pipeline (namely, the position of 1 meter measured by taking the bottom of the sampling main pipeline as the starting point) is 30mmHg, the first sampling pipe passage is set, the air pressure difference between the position of 1 meter of the sampling main pipeline and the position of 2.3 meters of the sampling main pipeline is 26mmHg, and the second sampling pipe passage is set.
And S13, acquiring air pressure information of each sampling pipe section, and determining section pressure difference values of adjacent sampling pipe sections based on the air pressure information.
In this embodiment of the present application, the air pressure information is an average air pressure of each sampling pipe section, the section pressure difference value is an air pressure difference between adjacent sampling pipe sections, the air pressure information of the first sampling pipe section is 28mmHg, the air pressure information of the second sampling pipe section is 26mmHg, and then the section pressure difference value is an air pressure difference between the first sampling pipe section and the second sampling pipe section of 2mmHg, which is described in reference to step S12.
And S14, judging whether the interval pressure difference value accords with a preset pressure difference range, if not, generating a pipeline switching instruction, and controlling the pipeline at the pipeline connection point corresponding to the interval pressure difference value in the sampling auxiliary pipeline information to be opened.
In the embodiment of the present application, the preset differential pressure range includes 2-4mmHg, and when the interval differential pressure value is 5mmHg, the interval differential pressure value does not conform to the preset differential pressure range.
In one possible implementation manner of the embodiment of the present application, step S14 further includes step S141 (not shown in the figure), step S142 (not shown in the figure), and step S143 (not shown in the figure), where,
step S141, acquiring vehicle image information and current time information, wherein the vehicle image information is top image information of the grain transport vehicle.
In the embodiment of the application, the image capturing device is used for capturing an image of the top of the vehicle, obtaining a vehicle image, and sending the vehicle image to the electronic equipment in an information flow mode.
The image pickup device comprises a camera, a camera and the like.
Step S142, time sampling analysis is carried out on the vehicle image information, and time position information is generated.
Specifically, when grain sampling is performed, sampling positions at different moments are different, so that time and position information is obtained through analysis of time and vehicle images. The time position information marks the sampling point position, and binds the sampling time and the sampling point position.
And step S143, matching the current time information with the time position information to obtain the real-time sampling position.
Specifically, the current time information is sampling time when the sampling main pipeline is blocked, the sampling time is matched with time in the time position information, and a real-time sampling position matched with the sampling time in the time position information is obtained.
In one possible implementation manner of the embodiment of the present application, step S142 (not shown in the figure) further includes step Sa (not shown in the figure), step Sb (not shown in the figure), and step Sc (not shown in the figure), where,
Step Sa, obtaining sampling time information, wherein the sampling time information is the time information of each sampling of the sampling main pipeline.
And step Sb, determining the spot position information of the sampling main pipeline of each sampling according to the vehicle image information.
And step Sc, carrying out matching binding on the point position information and the sampling time information to obtain the time position information.
In one possible implementation manner of the embodiment of the present application, step Sb further includes step Sb1 (not shown in the figure), step Sb2 (not shown in the figure), and step Sb3 (not shown in the figure), wherein,
and step Sb1, judging whether the vehicle image in the vehicle image information meets the preset requirement.
And step Sb2, if the vehicle image in the vehicle image information meets the preset requirement, creating a sampling coordinate system based on the vehicle image information, and integrating the point position information with the sampling coordinate system to obtain sampling distribution information.
Step Sb3, if the vehicle image in the vehicle image information does not meet the preset requirement, controlling the alarm device to output an alarm signal in a preset mode, wherein the preset mode comprises at least one of the following: and outputting a sound mode and a light output mode.
Specifically, the preset requirement indicates that the display image of the finished vehicle is in the vehicle image information, and the definition and visibility of the vehicle image are required to satisfy a set value set by a worker.
Specifically, the origin of the sampling coordinate system is established by taking the lower left corner in the vehicle image information as the origin, the leftmost rim of the vehicle image as the Y axis, the rim closest to the sampling machine in the vehicle image as the X axis, and filling the point position of the sampling point into the sampling coordinate system to obtain sampling distribution information (as shown in the fourth drawing).
In one possible implementation manner of the embodiment of the present application, step S14 further includes step S15 (not shown in the figure), step S16 (not shown in the figure), and step S17 (not shown in the figure), where,
and S15, acquiring a pipeline spacing distance, wherein the pipeline spacing distance is the spacing distance between the sampling auxiliary pipeline and the sampling main pipeline, which corresponds to the sampling auxiliary pipeline information.
In the embodiment of the application, the pipeline spacing distance is detected through the distance sensor, and the pipeline spacing distance between the sampling main pipeline and the sampling auxiliary pipeline is obtained by installing the distance sensor in the direction opposite to the sampling main pipeline and the sampling auxiliary pipeline.
And S16, determining the pipeline azimuth information of the auxiliary sampling pipeline positioned in the main sampling pipeline based on the pipeline connection point.
And S17, analyzing the interval distance and the pipeline azimuth information to generate a position correction instruction, and controlling the correction device to correct the sampling position of the sampling auxiliary pipeline.
In this application embodiment, correcting unit includes disc and actuating lever, wherein, the disc sets firmly in the sampler directly over, and the slip track has been seted up to disc one side that is close to ground, and sliding connection has the sliding block in the slip track, actuating lever top and sliding block fixed connection, and actuating lever control sliding block slides in the slip track, actuating lever's bottom and the main pipe line fixed connection of skewing, after the actuating lever received position correction instruction, control sliding block slides in the slip track to adjust the sample position of the vice pipeline of skewing.
In one possible implementation manner of the embodiment of the present application, step S13 further includes step S131 (not shown in the figure) and step S132 (not shown in the figure), where,
and S131, calculating the average air pressure value in the sampling main pipeline based on the air pressure information.
Specifically, the average air pressure value= (interval capacity 1×interval average air pressure value 1+interval capacity 2×interval average air pressure value 2+ … … +interval capacity n×interval average air pressure value n)/the number of intervals, where interval capacity 1 represents the volume capacity of each first sampling pipe interval, interval average air pressure value 1 represents the average air pressure value of the first sampling pipe interval, and the number of intervals is the total number of sampling pipe intervals.
Step S132, determining whether the average air pressure value is smaller than a preset air pressure value, if so, generating an air pressure adjusting instruction, and controlling the air pressure adjusting device to adjust the average air pressure value.
Specifically, the air pressure adjusting device comprises an air cylinder and a sealing plate, an air hole is formed in the surface of the sampling main pipeline, the sealing plate is arranged at the air hole, the air cylinder is fixedly arranged on the surface of the sampling main pipeline, an air rod of the air cylinder is fixedly connected to one side of the sealing plate, and after the air cylinder receives an air pressure adjusting instruction, the sealing plate is controlled to slide, and the air hole is opened.
In one possible implementation manner of the embodiment of the present application, step S13 further includes:
acquiring environmental temperature information, wherein the environmental temperature information is temperature information around the sampling auxiliary pipeline and the sampling main pipeline;
judging whether temperature abnormality of the environmental temperature information can cause abnormality of an interval differential pressure value of the sampling auxiliary pipeline and the sampling main pipeline;
if the temperature abnormality of the environmental temperature information can cause the abnormality of the differential pressure value between the sampling auxiliary pipeline and the sampling main pipeline, generating environmental abnormality information and controlling and displaying the environmental abnormality information.
The foregoing embodiments describe a method for identifying a sample from the perspective of a method flow, and the following embodiments describe a device for identifying a sample from the perspective of a virtual module or a virtual unit, which are described in detail in the following embodiments.
The embodiment of the present application provides a device for identifying and processing a sample, as shown in the drawing, the device 20 for identifying and processing a sample may specifically include: an information acquisition module 21, an information judgment module 22, an information generation module 23, a logic processing module 24, an alarm generation module 25 and a sampling control module 25, wherein,
the information acquisition module 21 is configured to acquire vehicle information and sampling information, where the vehicle information includes vehicle size information and license plate information, and the sampling information includes sampling image information and sampling position information;
the information judging module 22 is configured to judge whether the license plate information accords with preset license plate information;
the information generating module 23 is configured to generate voice broadcast information when the license plate information does not conform to the preset license plate information;
the logic processing module 24 is configured to determine whether the vehicle enters a preset sampling position according to the vehicle size information and the sampling image information when the license plate information accords with the preset license plate information, determine a grain area based on the sampling image information if the vehicle enters the preset sampling position, and determine whether the sampling position information is in the grain area;
the alarm generation module 25 is used for generating an abnormal alarm instruction when the sampling position information is not in the grain area, and controlling the preset alarm equipment to perform alarm response;
And the sampling control module 26 is used for generating a grain sampling instruction when the sampling position information is in the grain area and controlling the sampling equipment to sample grains.
In one possible implementation manner of the embodiment of the present application, the apparatus 20 further includes: the device comprises a pipeline acquisition module, a pipeline determination module, a section division module, a differential pressure determination module and a differential pressure judgment module, wherein,
the pipeline acquisition module is used for acquiring sampling pipeline information after detecting the sampling instruction;
the pipeline determining module is used for determining sampling main pipeline information and sampling auxiliary pipeline information based on sampling pipeline information, wherein the sampling auxiliary pipeline information is pipeline information which is positioned at different positions of the pipeline of the sampling main pipeline information and is communicated with the pipeline of the sampling main pipeline information;
the interval dividing module is used for dividing the information of the sampling main pipeline according to the pipeline connection point of the information of the sampling main pipeline and the information of the sampling auxiliary pipeline to obtain a plurality of sampling pipeline intervals;
the differential pressure determining module is used for acquiring the air pressure information of each sampling pipe section and determining the section pressure difference value of the adjacent sampling pipe section based on the air pressure information;
the differential pressure judging module is used for judging whether the interval differential pressure value accords with a preset differential pressure range, if not, generating a pipeline switching instruction, and controlling the pipeline at the pipeline connection point corresponding to the interval differential pressure value in the sampling auxiliary pipeline information to be opened.
Another possible implementation manner of the embodiment of the present application, the apparatus 20 further includes: an image acquisition module, an image analysis module and a data matching module, wherein,
the image acquisition module is used for acquiring vehicle image information and current time information, wherein the vehicle image information is top image information of the grain transport vehicle;
the image analysis module is used for carrying out time sampling analysis on the vehicle image information and generating time position information;
and the data matching module is used for matching the current time information with the time position information to obtain the real-time sampling position.
In another possible implementation manner of the embodiment of the present application, when performing time sampling analysis on vehicle image information and generating time position information, the image analysis module includes:
acquiring sampling time information, wherein the sampling time information is the time information of each sampling of the sampling main pipeline;
determining the spot position information of each sampling of the main sampling pipeline according to the vehicle image information;
and matching and binding the point position information and the sampling time information to obtain the time position information.
Another possible implementation manner of the embodiment of the present application, the apparatus 20 further includes: the device comprises an image judging module, a sampling distribution module and an alarm module, wherein,
The image judging module is used for judging whether the vehicle image in the vehicle image information meets the preset requirement or not;
the sampling distribution module is used for creating a sampling coordinate system based on the vehicle image information when the vehicle image in the vehicle image information meets the preset requirement, and integrating the point position information with the sampling coordinate system to obtain sampling distribution information;
the alarm module is used for controlling the alarm equipment to output an alarm signal in a preset mode when the vehicle image in the vehicle image information does not meet the preset requirement, wherein the preset mode comprises at least one of the following steps: and outputting a sound mode and a light output mode.
Another possible implementation manner of the embodiment of the present application, the apparatus 20 further includes: a distance acquisition module, an azimuth determination module and a position correction module, wherein,
the distance acquisition module is used for acquiring the pipeline spacing distance, wherein the pipeline spacing distance is the spacing distance between the sampling auxiliary pipeline and the sampling main pipeline, which corresponds to the sampling auxiliary pipeline information;
the azimuth determining module is used for determining pipeline azimuth information of the sampling auxiliary pipeline positioned on the sampling main pipeline based on the pipeline connection point;
the position correction module is used for analyzing the interval distance and the pipeline azimuth information, generating a position correction instruction, and controlling the correction device to correct the sampling position of the sampling auxiliary pipeline.
Another possible implementation manner of the embodiment of the present application, the apparatus 20 further includes: the average value calculating module and the air pressure adjusting module, wherein,
the average value calculation module is used for calculating an average air pressure value in the sampling main pipeline based on the air pressure information;
and the air pressure adjusting module is used for determining whether the average air pressure value is smaller than a preset air pressure value, and if so, generating an air pressure adjusting instruction and controlling the air pressure adjusting device to adjust the average air pressure value.
Another possible implementation manner of the embodiment of the present application, the apparatus 20 further includes: temperature acquisition module, abnormality judgment module and information generation module, wherein
The temperature acquisition module is used for acquiring environmental temperature information, wherein the environmental temperature information is the temperature information around the sampling auxiliary pipeline and the sampling main pipeline;
the abnormality judging module is used for judging whether the temperature abnormality of the environmental temperature information can cause abnormality of the interval differential pressure value of the sampling auxiliary pipeline and the sampling main pipeline;
the information generation module is used for generating environment abnormality information when the temperature abnormality of the environment temperature information can cause abnormality of the interval pressure difference value of the sampling auxiliary pipeline and the sampling main pipeline, and controlling and displaying the environment abnormality information.
In an embodiment of the present application, as shown in fig. 3, an electronic device 300 shown in fig. 3 includes: a processor 301 and a memory 303. Wherein the processor 301 is coupled to the memory 303, such as via a bus 302. Optionally, the electronic device 300 may also include a transceiver 304. It should be noted that, in practical applications, the transceiver 304 is not limited to one, and the structure of the electronic device 300 is not limited to the embodiment of the present application.
The processor 301 may be a CPU (Central Processing Unit ), general purpose processor, DSP (Digital Signal Processor, data signal processor), ASIC (Application Specific Integrated Circuit ), FPGA (Field Programmable Gate Array, field programmable gate array) or other programmable logic device, transistor logic device, hardware components, or any combination thereof. Which may implement or perform the various exemplary logic blocks, modules, and circuits described in connection with this disclosure. Processor 301 may also be a combination that implements computing functionality, e.g., comprising one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.
Bus 302 may include a path to transfer information between the components. Bus 302 may be a PCI (Peripheral Component Interconnect, peripheral component interconnect Standard) bus or an EISA (Extended Industry Standard Architecture ) bus, or the like. Bus 302 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in fig. 3, but not only one bus or one type of bus.
The Memory 303 may be, but is not limited to, a ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, a RAM (Random Access Memory ) or other type of dynamic storage device that can store information and instructions, an EEPROM (Electrically Erasable Programmable Read Only Memory ), a CD-ROM (Compact Disc Read Only Memory, compact disc Read Only Memory) or other optical disk storage, optical disk storage (including compact discs, laser discs, optical discs, digital versatile discs, blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
The memory 303 is used for storing application program codes for executing the present application and is controlled to be executed by the processor 301. The processor 301 is configured to execute the application code stored in the memory 303 to implement what is shown in the foregoing method embodiments.
Among them, electronic devices include, but are not limited to: mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and the like, and stationary terminals such as digital TVs, desktop computers, and the like. But may also be a server or the like. The electronic device shown in fig. 3 is merely an example and should not be construed to limit the functionality and scope of use of the disclosed embodiments.
The present application provides a computer readable storage medium having a computer program stored thereon, which when run on a computer, causes the computer to perform the corresponding method embodiments described above. Compared with the related art, in the embodiment of the application, when the grain is sampled, whether license plate information corresponding to the vehicle information accords with preset license plate information is judged by acquiring the vehicle information, if the license plate information does not accord with the preset license plate information, the current vehicle is not judged to belong to the sampled vehicle, so that voice broadcasting information is generated, staff is informed that the current vehicle is abnormal, the effect of screening the sampled vehicle is achieved, if the vehicle accords with the preset sampled position is determined according to the vehicle size information and the sampled image information, when the vehicle enters the preset sampled position, a grain area is determined according to the sampled image information, whether the sampled position information is in the grain area is judged, when the sampled position information is in the grain area, grain sampled instructions are generated, the sampled equipment is controlled to sample grains, abnormal alarm instructions are generated, the staff is controlled to respond to the alarm, and the staff is informed that the sampled is abnormal, so that the effect of improving the sampled efficiency of the sample is achieved.
It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited in order and may be performed in other orders, unless explicitly stated herein. Moreover, at least some of the steps in the flowcharts of the figures may include a plurality of sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, the order of their execution not necessarily being sequential, but may be performed in turn or alternately with other steps or at least a portion of the other steps or stages.
The foregoing is only a partial embodiment of the present application and it should be noted that, for a person skilled in the art, several improvements and modifications can be made without departing from the principle of the present application, and these improvements and modifications should also be considered as the protection scope of the present application.

Claims (9)

1. The method for identifying and processing the samples is characterized by comprising the following steps:
acquiring vehicle information and sampling information, wherein the vehicle information comprises vehicle size information and license plate information, and the sampling information comprises sampling image information and sampling position information;
Judging whether the license plate information accords with preset license plate information or not;
if the license plate information does not accord with the preset license plate information, generating voice broadcasting information;
if the license plate information accords with the preset license plate information, determining whether a vehicle enters a preset sampling position according to the vehicle size information and the sampling image information, if the vehicle enters the preset sampling position, determining a grain area based on the sampling image information, and judging whether the sampling position information is in the grain area;
if the sampling position information is not in the grain area, generating an abnormal alarm instruction, and controlling preset alarm equipment to perform alarm response;
if the sampling position information is in the grain area, generating a grain sampling instruction, and controlling sampling equipment to sample grains;
the method further comprises the steps of:
when the sampling instruction is detected, sampling pipe information is acquired;
determining sampling main pipeline information and sampling auxiliary pipeline information based on the sampling pipeline information, wherein the sampling auxiliary pipeline information is pipeline information which is positioned at different positions of the pipeline of the sampling main pipeline information and is communicated with the pipeline of the sampling main pipeline information;
Dividing the information of the sampling main pipeline into intervals according to the pipeline connection points of the information of the sampling main pipeline and the information of the sampling auxiliary pipeline to obtain a plurality of sampling pipeline intervals;
acquiring air pressure information of each sampling pipe section, and determining section pressure difference values of adjacent sampling pipe sections based on the air pressure information;
judging whether the interval pressure difference value accords with a preset pressure difference range, if not, generating a pipeline switching instruction, and controlling the pipeline at a pipeline connection point corresponding to the interval pressure difference value in the sampling auxiliary pipeline information to be opened;
the auxiliary sampling pipeline information comprises the height of the auxiliary sampling pipeline positioned at the main sampling pipeline;
the position of the auxiliary sampling pipeline in the main sampling pipeline is distributed according to the air pressure differences at different positions inside the main sampling pipeline.
2. The method of claim 1, wherein generating the pipe switch command controls the opening of the pipe at the pipe connection point corresponding to the interval differential pressure value in the skewing sub-pipe information, and further comprising:
acquiring vehicle image information and current time information, wherein the vehicle image information is top image information of a grain transport vehicle;
Performing time sampling analysis on the vehicle image information to generate time position information;
and matching the current time information with the time position information to obtain a real-time sampling position.
3. The method of claim 2, wherein said performing a time-skewing analysis on said vehicle image information to generate time-location information comprises:
acquiring sampling time information, wherein the sampling time information is the time information of each sampling of the sampling main pipeline;
determining the spot position information of each sampling of the sampling main pipeline according to the vehicle image information;
and matching and binding the point position information with the sampling time information to obtain time position information.
4. The method of claim 3 wherein said determining spot location information for each of said skewing main tubing skewing based on said vehicle image information further comprises:
judging whether the vehicle image in the vehicle image information meets a preset requirement or not;
if the vehicle image in the vehicle image information meets the preset requirement, a sampling coordinate system is established based on the vehicle image information, and the point position information and the sampling coordinate system are integrated to obtain sampling distribution information;
If the vehicle image in the vehicle image information does not meet the preset requirement, controlling the alarm equipment to output an alarm signal in a preset mode, wherein the preset mode comprises at least one of the following steps: and outputting a sound mode and a light output mode.
5. The method of claim 1, wherein said obtaining barometric pressure information for each of said sampling pipe intervals further comprises:
calculating an average air pressure value in the sampling main pipeline based on the air pressure information;
and determining whether the average air pressure value is smaller than a preset air pressure value, and if so, generating an air pressure adjusting instruction to control an air pressure adjusting device to adjust the average air pressure value.
6. The method of claim 1 wherein obtaining air pressure information for each of said sampling tube lane segments and determining a segment differential pressure value for adjacent ones of said sampling tube lane segments based on said air pressure information further comprises:
acquiring environmental temperature information, wherein the environmental temperature information is temperature information around the sampling auxiliary pipeline and the sampling main pipeline;
judging whether the temperature abnormality of the environmental temperature information can cause the abnormality of the interval differential pressure value of the sampling auxiliary pipeline and the sampling main pipeline;
If the temperature abnormality of the environmental temperature information can cause the abnormality of the interval differential pressure value of the sampling auxiliary pipeline and the sampling main pipeline, generating environmental abnormality information, and controlling and displaying the environmental abnormality information.
7. A skewer identification processing device, comprising:
the information acquisition module is used for acquiring vehicle information and sampling information, wherein the vehicle information comprises vehicle size information and license plate information, and the sampling information comprises sampling image information and sampling position information;
the information judging module is used for judging whether the license plate information accords with preset license plate information or not;
the information generation module is used for generating voice broadcasting information when the license plate information does not accord with the preset license plate information;
the logic processing module is used for determining whether a vehicle enters a preset sampling position according to the vehicle size information and the sampling image information when the license plate information accords with the preset license plate information, determining a grain area based on the sampling image information if the vehicle enters the preset sampling position, and judging whether the sampling position information is in the grain area;
the alarm generation module is used for generating an abnormal alarm instruction when the sampling position information is not in the grain area, and controlling preset alarm equipment to perform alarm response;
The sampling control module is used for generating a grain sampling instruction when the sampling position information is in the grain area and controlling the sampling equipment to sample grains;
the pipeline acquisition module is used for acquiring sampling pipeline information after detecting the sampling instruction;
the pipeline determining module is used for determining sampling main pipeline information and sampling auxiliary pipeline information based on the sampling pipeline information, wherein the sampling auxiliary pipeline information is pipeline information which is positioned at different positions of the pipeline of the sampling main pipeline information and is communicated with the pipeline of the sampling main pipeline information;
the interval dividing module is used for dividing the sampling main pipeline information into intervals according to pipeline connection points of the sampling main pipeline information and the sampling auxiliary pipeline information to obtain a plurality of sampling pipeline intervals;
the pressure difference determining module is used for acquiring the air pressure information of each sampling pipe section and determining the section pressure difference value of the adjacent sampling pipe section based on the air pressure information;
the differential pressure judging module is used for judging whether the interval differential pressure value accords with a preset differential pressure range, if not, generating a pipeline switching instruction, and controlling the pipeline at the pipeline connection point corresponding to the interval differential pressure value in the sampling auxiliary pipeline information to be opened;
The auxiliary sampling pipeline information comprises the height of the auxiliary sampling pipeline positioned at the main sampling pipeline, and the positions of the auxiliary sampling pipeline positioned at the main sampling pipeline are distributed according to the air pressure differences at different positions inside the main sampling pipeline.
8. An electronic device, comprising:
one or more processors;
a memory;
one or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the one or more processors, the one or more applications configured to: performing the skewer identification treatment method according to any one of claims 1 to 6.
9. A computer readable storage medium having stored thereon a computer program, characterized in that the program when executed by a processor implements the skewer identification processing method according to any one of claims 1 to 6.
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