CN115290386A - Sampling identification processing method, device, equipment and storage medium - Google Patents
Sampling identification processing method, device, equipment and storage medium Download PDFInfo
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- G01N1/00—Sampling; Preparing specimens for investigation
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Abstract
The application relates to a sampling identification processing method, a sampling identification processing device, sampling identification processing equipment and a storage medium, which relate to the technical field of flow rate control and comprise the following steps: the method comprises the steps of obtaining vehicle information and sampling information, judging whether the license plate information accords with preset license plate information or not, generating voice broadcast information when the license plate information does not accord with the preset license plate information, determining whether a vehicle enters a preset sampling position or not according to vehicle size information and sampling image information when the license plate information accords with the preset license plate information, determining a grain region based on the sampling image information if the vehicle enters the preset sampling position, judging whether the sampling position information is in the grain region or not, generating an abnormal alarm instruction when the sampling position information is not in the grain region, controlling preset alarm equipment to give an alarm response, generating a grain sampling instruction when the sampling position information is in the grain region, and controlling the sampling equipment to sample grains. This application has the effect that improves the sample efficiency of sample machine.
Description
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
In the current market, when a sampling machine is controlled to sample, sampling is mainly realized in a non-intelligent mode of manually controlling the position of the sampling machine, manually inputting truck parameters or IC card identification and the like. The intelligent full-automatic sampling machine has the defects of artificial cheating, low efficiency, high labor cost and the like, and how to realize the intelligent full-automatic sampling identification and full-automatic sampling technology is an urgent problem to be solved at present in order to liberate productivity and improve sampling efficiency. The intelligent degree of the existing sample machine in the market is low, so that the problem of low sample efficiency of the sample machine exists.
Disclosure of Invention
In order to improve the 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 sample identification processing, which adopts the following technical scheme:
a method of sample identification processing, comprising:
the method comprises the steps of obtaining vehicle information and sample information, wherein the vehicle information comprises vehicle size information and license plate information, and the sample information comprises sample image information and sample 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 broadcast 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 region, generating an abnormal alarm instruction, and controlling preset alarm equipment to give an alarm response;
if the sampling position information is in the grain region, grain sampling instructions are generated, and sampling equipment is controlled to perform sampling on grains.
By adopting the technical scheme, when grain is sampled, whether the license plate information corresponding to the vehicle information accords with the preset license plate information is judged by obtaining the vehicle information, if not, the current vehicle does not belong to the sampling vehicle, therefore, voice broadcast information is generated, workers are informed that the current vehicle is abnormal, the effect of screening the sampling vehicle is achieved, if yes, whether the vehicle enters the preset sampling position is determined according to the vehicle size information and the sampling image information, when the vehicle enters the preset sampling position, a grain area is determined according to the sampling image information, whether the sampling position information is in the grain area is judged, when the vehicle is in the grain area, a grain sampling instruction is generated, sampling equipment is controlled to sample the grain, when the vehicle is not in the grain area, an abnormal alarm instruction is generated, alarm equipment is controlled to give an alarm response, the workers are informed that sampling abnormality exists currently, and therefore, the effect of improving the sampling efficiency of a sampling machine is achieved.
In another possible implementation manner, the method further includes:
when a sampling instruction is detected, acquiring sampling pipeline information;
determining main sampling pipeline information and auxiliary sampling pipeline information based on the sampling pipeline information, wherein the auxiliary sampling pipeline information is pipeline information which is located at different positions of a pipeline of the main sampling pipeline information and is communicated with the pipeline of the main sampling pipeline information;
carrying out interval division on the main sampling pipeline information according to the pipeline connecting points of the main sampling pipeline information and the auxiliary sampling pipeline information to obtain a plurality of sampling pipeline intervals;
acquiring air pressure information of each sampling pipeline interval, and determining an interval pressure difference value between adjacent sampling pipeline intervals 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 opening of a pipeline at a pipeline connecting point corresponding to the interval pressure difference value in the sampling auxiliary pipeline information.
Through adopting above-mentioned technical scheme, when the sample pipeline of sampler monitored, acquire sample pipeline information, then confirm sample trunk line information and the vice pipeline information of sample according to sample trunk line information, then carry out the interval division to the sample trunk line according to the pipeline connecting point of sample trunk line information and the vice pipeline information of sample, obtain the interval pressure difference value between a plurality of sample pipeline intervals and adjacent sample pipeline interval, then judge whether the interval pressure difference value accords with the preset pressure difference scope, if do not accord with, it blocks up to show current sample trunk line emergence, consequently, generate the pipeline switching instruction, the pipeline of the pipeline connecting point department that corresponds with the interval pressure difference value in the vice pipeline information of control sample is opened, use this pipeline to carry out the sample to grain, maintenance personal blocks up the sample trunk line simultaneously and maintains, thereby improve the sample efficiency of sample machine.
In another possible implementation manner, the generating a tube switching instruction to control opening of a tube at a tube connection point corresponding to the interval pressure difference value in the sampling secondary tube information further includes:
acquiring vehicle image information and current time information, wherein the vehicle image information is top image information of a grain transport vehicle;
carrying out 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 above-mentioned technical scheme, when the jam takes place for the sample trunk line, the grain of sample trunk line sample position does not enter into grain detection device and detects, consequently through obtaining vehicle image information and current time information, and carry out time sample analysis to vehicle image information, generate time position information, then match current time information and time position information, obtain real-time sample position, the position of current sample trunk line sample promptly, when switching to the vice pipeline of sample that corresponds, carry out the sample to real-time sample position again, thereby the integrality of sample data has been improved.
In another possible implementation manner, the time-sampling analysis of the vehicle image information to generate time-position information includes:
obtaining sampling time information, wherein the sampling time information is the time information of each sampling of the main sampling pipeline
Determining the position information of the sampling point of the main sampling pipeline each time according to the vehicle image information;
and matching and binding the point position information and the sampling time information to obtain time position information.
Through adopting above-mentioned technical scheme, when examining skewering position and skewering time, the skewering time information when acquireing the skewering trunk line at every turn, then confirm the point position information of skewering trunk line skewering at every turn according to vehicle image information, bind point position information and skewering time information with the matching, obtain time position information to be convenient for learn the skewering order to grain skewering.
In another possible implementation manner, the determining, according to the vehicle image information, point position information of the main sampling pipe sampling at each time further includes:
judging whether a vehicle image in the vehicle image information meets a preset requirement or not;
if the vehicle images in the vehicle image information meet preset requirements, 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 an alarm device to output an alarm signal in a preset mode, wherein the preset mode comprises at least one of the following modes: sound output mode and light output mode.
By adopting the technical scheme, when the sampling machine is subjected to sampling management, whether the vehicle images in the vehicle information meet the preset requirement is judged, when the vehicle images meet the preset requirement, the vehicle images contain complete vehicle images, then the sampling coordinate system is established 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 whether uneven sampling exists or not is checked by workers, when the sampling distribution information does not meet the requirement, the vehicle images which do not complete in the vehicle image information are shown, and therefore the alarm device is controlled to output alarm information and inform the workers of adjusting the vehicle positions.
In another possible implementation manner, the acquiring air pressure information of each of the sampling tube sections further includes:
calculating an average air pressure value in the main sampling pipeline based on the air pressure information;
and 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 an air pressure adjusting device to adjust the average air pressure value.
Through adopting above-mentioned technical scheme, when monitoring the average value atmospheric pressure value of sample trunk line, calculate the average value atmospheric pressure value between different sample trunk lines, then judge whether average value atmospheric pressure value is less than preset atmospheric pressure value, if be less than, then the atmospheric pressure value that indicates current sample trunk line is crossed lowly, can't switch over the sample auxiliary tube way, consequently generate atmospheric pressure adjustment command, control atmospheric pressure adjusting device adjusts average value to help improving the life of sample trunk line.
In another possible implementation manner, obtaining air pressure information of each sample tube section, and determining a section pressure difference value of adjacent sample tube sections based on the air pressure information, and then 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 the abnormal temperature of the environmental temperature information can cause the abnormal interval differential pressure values of the sampling auxiliary pipeline and the sampling main pipeline;
and if the abnormal temperature of the environmental temperature information can cause the abnormal interval pressure difference value of the sampling auxiliary pipeline and the sampling main pipeline, generating environmental abnormal information, and controlling and displaying the environmental abnormal information.
Through adopting above-mentioned technical scheme, when the sample trunk line carries out the sample operation, ambient temperature easily influences the inside atmospheric pressure value change of sample trunk line and sample accessory line, consequently need monitor the ambient temperature information around sample trunk line and the sample accessory line, the interval pressure difference value that causes sample accessory line and sample trunk line unusually in the temperature among the ambient temperature information is unusual, then environmental anomaly information is generated, inform the staff in time to adjust the atmospheric pressure in sample trunk line and the sample accessory line, thereby the condition of pipeline blockage erroneous judgement appears in the reduction.
In a second aspect, the present application provides a device for sample identification processing, which adopts the following technical solutions:
an apparatus for sample identification processing, comprising:
the system comprises an information acquisition module, a data acquisition module and a data processing module, wherein the information acquisition module is used for acquiring vehicle information and sampling information, 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 judgment module is used for judging whether the license plate information accords with preset license plate information;
the information generation module is used for generating voice broadcast 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 generating module is used for generating an abnormal alarm instruction when the sampling position information is not in the grain region, and controlling preset alarm equipment to give an alarm response;
and the sampling control module is used for generating grain sampling instructions when the sampling position information is in the grain region, and controlling the sampling equipment to sample grains.
By adopting the technical scheme, when grain is sampled, whether the license plate information corresponding to the vehicle information accords with the preset license plate information is judged by obtaining the vehicle information, if not, the current vehicle does not belong to the sampling vehicle, therefore, voice broadcast information is generated, workers are informed that the current vehicle is abnormal, the effect of screening the sampling vehicle is achieved, if yes, whether the vehicle enters the preset sampling position is determined according to the vehicle size information and the sampling image information, when the vehicle enters the preset sampling position, a grain area is determined according to the sampling image information, whether the sampling position information is in the grain area is judged, when the vehicle is in the grain area, a grain sampling instruction is generated, sampling equipment is controlled to sample the grain, when the vehicle is not in the grain area, an abnormal alarm instruction is generated, alarm equipment is controlled to give an alarm response, the workers are informed that sampling abnormality exists currently, and therefore, the effect of improving the sampling efficiency of a sampling machine is achieved.
In one possible implementation, the method further includes: a pipeline acquisition module, a pipeline determination module, an interval division module, a pressure difference determination module and a pressure difference judgment module, wherein,
the pipeline acquisition module is used for acquiring sampling pipeline information after a sampling instruction is detected;
the pipeline determining module is used for determining main sampling pipeline information and auxiliary sampling pipeline information based on the sampling pipeline information, wherein the auxiliary sampling pipeline information is pipeline information which is located at different positions of a pipeline of the main sampling pipeline information and is communicated with the pipeline of the main sampling pipeline information;
the interval dividing module is used for carrying out interval division on the main sampling pipeline information according to the pipeline connecting points of the main sampling pipeline information and the auxiliary sampling 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 pipeline section and determining a section pressure difference value of the adjacent sampling pipeline section based on the air pressure information;
and 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 opening of a pipeline at a pipeline connecting point corresponding to the interval differential pressure value in the sampling auxiliary pipeline information.
In another possible implementation manner, 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 and 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, when performing time sampling analysis on the vehicle image information to generate time position information, includes:
obtaining sampling time information, wherein the sampling time information is the time information of each sampling of the main sampling pipeline;
determining the position information of the sampling point of the main sampling pipeline each time according to the vehicle image information;
and matching and binding the point position information and the sampling time information to obtain time and position information.
In another possible implementation manner, the apparatus further includes: 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 a preset requirement or not;
the sampling distribution module is used for creating a sampling coordinate system based on the vehicle image information when a vehicle image in the vehicle image information meets a 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 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 modes: sound output mode and light output mode.
In another possible implementation manner, the apparatus further includes: a mean value calculating module and an air pressure adjusting module, wherein,
the mean value calculating module is used for calculating a mean 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 or not, if so, generating an air pressure adjusting instruction, and controlling an air pressure adjusting device to adjust the average air pressure value.
In another possible implementation manner, the apparatus further includes: a temperature acquisition module, an abnormality judgment module and an information generation module, wherein
The temperature acquisition module is used for acquiring environmental temperature information, wherein the environmental temperature information is temperature information around the sampling auxiliary pipeline and the sampling main pipeline;
the abnormity judging module is used for judging whether the abnormal temperature of the environment temperature information can cause the abnormal interval differential pressure value of the sampling auxiliary pipeline and the sampling main pipeline;
and the information generation module is used for generating environment abnormal information and controlling and displaying the environment abnormal information when the abnormal temperature of the environment temperature information can cause the abnormal interval pressure difference value of the sampling auxiliary pipeline and the sampling main pipeline.
In a third aspect, the present application provides an electronic device, which adopts the following technical solutions:
an electronic device, comprising:
one or more processors;
a memory;
one or more application programs, wherein the one or more application programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs configured to: a method of performing a sample identification process according to any one of the possible implementations of the first aspect.
In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solutions:
a computer-readable storage medium, comprising: there is stored a computer program that can be loaded by a processor and that executes a method of carrying out a sample 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 grain is sampled, whether the license plate information corresponding to the vehicle information accords with the preset license plate information is judged by obtaining the vehicle information, if not, the current vehicle does not belong to a sampling vehicle, therefore, voice broadcast information is generated, workers are informed that the current vehicle is abnormal, the effect of screening the sampling vehicle is achieved, if yes, whether the vehicle enters the preset sampling position is determined according to the vehicle size information and the sampling image information, when the vehicle enters the preset sampling position, a grain area is determined according to the sampling image information, and whether the sampling position information is in the grain area is judged, when the vehicle is in the grain area, a grain sampling instruction is generated, sampling equipment is controlled to sample the grain, when the vehicle is not in the grain area, an abnormal alarm instruction is generated, alarm equipment is controlled to give an alarm response, the workers are informed that sampling abnormality exists currently, and therefore, the effect of improving the sampling efficiency of a sampling machine is achieved;
2. by adopting the technical scheme, when the sampling machine is subjected to sampling management, whether the vehicle images in the vehicle information meet the preset requirement is judged, when the vehicle images meet the preset requirement, the vehicle images contain complete vehicle images, then the sampling coordinate system is established 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 whether uneven sampling exists or not is checked by workers, when the sampling distribution information does not meet the requirement, the vehicle images which do not complete in the vehicle image information are shown, and therefore the alarm device is controlled to output alarm information and inform the workers of adjusting the vehicle positions.
Drawings
Fig. 1 is a schematic flow chart of a method of sample identification processing according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of an apparatus for sample identification processing 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 with reference to figures 1-4.
A person skilled in the art, after reading the present description, may make modifications to the embodiments as required, without inventive contribution, but fall within the scope of the claims of the present application.
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, 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 some embodiments of the present application, but not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making any creative effort belong to the protection scope of the present application.
In addition, the term "and/or" herein is only one kind of association relationship describing an associated object, and means that there may be three kinds of relationships, for example, a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter associated objects are in an "or" relationship, unless otherwise specified.
The embodiments of the present application will be described in further detail with reference to the drawings attached hereto.
The embodiment of the application provides a method for sampling identification processing, which is executed by electronic equipment, wherein the electronic equipment can be a server or terminal equipment, the server can be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, and a cloud server for providing cloud computing service. The terminal device may be a smart phone, a tablet computer, a notebook computer, a desktop computer, and the like, but is not limited thereto, the terminal device and the server may be directly or indirectly connected through a wired or wireless communication manner, and an embodiment of the present application is not limited thereto, as shown in fig. 1, the method includes:
step S101, vehicle information and sampling information are obtained, the vehicle information comprises vehicle size information and license plate information, and the sampling information comprises sampling image information and sampling position information.
And S102, judging whether the license plate information accords with preset license plate information.
And step S103, if the license plate information does not accord with the preset license plate information, generating voice broadcast information.
And step S104, if the license plate information accords with 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.
And S105, if the sampling position information is not in the grain region, generating an abnormal alarm instruction, and controlling preset alarm equipment to perform alarm response.
And step S106, if the sampling position information is in the grain region, generating grain sampling instructions, and controlling the sampling equipment to perform sampling on the grains.
Specifically, radar measurement is carried out on vehicles with different lengths and widths, image photographing identification is carried out through a camera arranged on a sampling rod after measurement, the size of the vehicle and the number of sampling points are determined, the sufficient sampling grain testing amount is ensured, the electronic equipment carries out image identification on the sampling points, and the vehicle is prevented from being damaged;
identifying whether the sampling position is a grain region (for example, sometimes the sampling position is not grain, is a canopy or a rain cloth, if the sampling position is not grain, the sampling operation is not performed, if the sampling position is grain, the sampling operation is performed, and if the sampling position is grain, the sampling operation is performed;
and identifying the license plate of the vehicle, and controlling the broadcasting equipment to broadcast the identified license plate information after identification. And whether to register data in the grain depot. If the voice is not registered, "Zhe Axxxxxx vehicle is not registered. Please register before sample ".
When the sampling point reaches a bottom point, the shooting device shoots, and the electronic equipment analyzes the picture to determine whether grain exists. If the grain is the grain, the sampling is carried out. If not, the next point location is carried out, and so on.
In the embodiment of the application, when grain is sampled, whether the license plate information corresponding to the vehicle information accords with the preset license plate information is judged through obtaining the vehicle information, if not, the current vehicle does not belong to a sampling vehicle, therefore, voice broadcast information is generated, workers are informed that the current vehicle is abnormal, the effect of screening the sampling vehicle is achieved, if yes, whether the vehicle enters the preset sampling position is determined according to the vehicle size information and the sampling image information, when the vehicle enters the preset sampling position, a grain area is determined according to the sampling image information, whether the sampling position information is in the grain area is judged, when the vehicle is in the grain area, a grain sampling instruction is generated, sampling equipment is controlled to sample the grain, when the vehicle is not in the grain area, an abnormal alarm instruction is generated, alarm equipment is controlled to give an alarm response, workers are informed that sampling abnormality exists currently, and therefore, the effect of improving the sampling efficiency of a sampling machine is achieved.
In a possible implementation manner of the embodiment of the present application, the step S106 further includes a step S10 (not shown in the figure), a step S11 (not shown in the figure), a step S12 (not shown in the figure), a step S13 (not shown in the figure), and a step S14 (not shown in the figure), wherein,
and step S10, acquiring sampling pipeline information after the sampling command is detected.
In this application embodiment, the sample pipeline information includes sample trunk line information and the vice pipeline information of sample, and wherein the sample trunk line information includes: length of sample trunk line, the running state of sample trunk line and the live time of sample trunk line etc. the vice pipeline information of sample includes: the auxiliary sampling pipeline is located 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 and the single working time of the main sampling pipeline, the total working time and the single working time of the auxiliary sampling pipeline.
And S11, determining the sampling main pipeline information and the sampling auxiliary pipeline information based on the sampling pipeline information.
Wherein, the sample auxiliary pipeline information is the pipeline information that is located the pipeline different positions of sample main pipeline information and is linked together with the pipeline of sample main pipeline information.
Specifically, information splitting is performed on the sampling pipeline information to obtain sampling main pipeline information and sampling auxiliary pipeline information, and the explanation of the pipeline information in step S10 can be specifically referred to, which is not described herein again.
And S12, carrying out interval division on the main sampling pipeline information according to the pipeline connecting points of the main sampling pipeline information and the auxiliary sampling pipeline information to obtain a plurality of sampling pipeline intervals.
In the embodiment of the application, the position of the secondary sampling pipeline on the primary sampling pipeline is distributed according to the air pressure difference of different positions inside the primary sampling pipeline, for example: the atmospheric pressure difference between main sampling pipeline bottom and main sampling pipeline 1 meter (is the 1 meter position of taking the main sampling pipeline bottom to measure by the starting point) is 30mmHg, sets up to first sampling pipeline interval, and the atmospheric pressure difference between main sampling pipeline 1 meter to main sampling pipeline 2.3 meter position is 26mmHg, sets up to second sampling pipeline interval.
And S13, acquiring air pressure information of each sampling pipeline section, and determining section pressure difference values of adjacent sampling pipeline sections based on the air pressure information.
In the embodiment of the present application, the air pressure information is an average air pressure of each sampling tube section, and the section pressure difference value is an air pressure difference between adjacent sampling tube sections, and as illustrated in the reference step S12, the air pressure information of the first sampling tube section is 28mmHg, the air pressure information of the second sampling tube section is 26mmHg, and then the section pressure difference value is an air pressure difference 2mmHg between the first sampling tube section and the second sampling tube section.
And S14, judging whether the interval differential pressure value accords with a preset differential pressure range, if not, generating a pipeline switching instruction, and controlling the opening of a pipeline at a pipeline connecting point corresponding to the interval differential pressure value in the sampling auxiliary pipeline information.
In the embodiment of the present application, the predetermined 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 predetermined differential pressure range.
In a possible implementation manner of the embodiment of the present application, step S14 further includes step S141 (not shown), step S142 (not shown), and step S143 (not shown), wherein,
and 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 top of the vehicle is subjected to image shooting through the image shooting device to obtain the vehicle image, and the vehicle image is sent to the electronic equipment in an information flowing mode.
The camera device includes a camera, a camera head, and the like.
In step S142, time sampling analysis is performed on the vehicle image information to generate time-position information.
Specifically, since the sampling positions at different times are different when the grain sampling is performed, the time-position information is obtained by analyzing the time and the vehicle image. The time position information marks the position of the sampling point, and simultaneously binds the sampling time with the position of the sampling point.
And step S143, matching the current time information with the time position information to obtain a real-time sampling position.
Specifically, the current time information is sampling time when the main sampling pipeline is blocked, and the sampling time is matched with time in the time position information to obtain a real-time sampling position matched with the sampling time in the time position information.
In a 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), wherein,
and step Sa, obtaining sampling time information, wherein the sampling time information is the time information of the main sampling pipeline in each sampling process.
And step Sb, determining the position information of the sampling point of the main sampling pipeline every time according to the vehicle image information.
And step Sc, matching and binding the point position information and the sampling time information to obtain time position information.
In a possible implementation manner of the embodiment of the present application, step Sb further includes step Sb1 (not shown), step Sb2 (not shown), and step Sb3 (not shown), wherein,
and step Sb1, judging whether the vehicle image in the vehicle image information meets a preset requirement or not.
And step Sb2, if the vehicle images in the vehicle image information meet the preset requirements, 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.
And step Sb3, 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 modes: sound output mode and light output mode.
Specifically, the preset requirement indicates that there is a finished vehicle in the display image of the vehicle image information, and at the same time, the definition and visibility of the vehicle image need to satisfy a set value, which is set by the worker.
Specifically, the origin of the sampling coordinate system is set up by using the lower left corner in the vehicle image information as the origin, the leftmost vehicle edge in the vehicle image as the Y-axis, and the vehicle edge closest to the sampling machine in the vehicle image as the X-axis, and the point positions of the sampling points are filled into the sampling coordinate system, so as to obtain sampling distribution information (as shown in fig. four).
In a 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), wherein,
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 corresponding to the sampling auxiliary pipeline information.
In this application embodiment, the pipeline spacing is detected through distance sensor, through installing distance sensor in the main sampling pipeline just to the position with the auxiliary sampling pipeline, obtains the pipeline spacing between main sampling pipeline and the auxiliary sampling pipeline.
And S16, determining the pipeline position information of the sampling auxiliary pipeline positioned on the sampling main pipeline based on the pipeline connecting points.
And S17, analyzing the spacing distance and the pipeline azimuth information, generating a position correction command, 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, and wherein, the disc sets firmly directly over the sample machine, and the disc has been close to ground one side and has been seted up the slip track, and sliding connection has the sliding block in the slip track, actuating lever top and sliding block fixed connection, and the sliding block of actuating lever control slides in the slip track, the bottom and the sample trunk line fixed connection of actuating lever, after the actuating lever received the position correction instruction, the control sliding block slides in the slip track to adjust the sample position of the sample auxiliary pipeline.
In a 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), wherein,
and S131, calculating the average air pressure value in the main sampling 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+ \8230) } 8230, + interval capacity n × (interval average air pressure value n)/number of intervals, where the interval capacity 1 represents the volume capacity of each first sampling pipeline interval, the interval average air pressure value 1 represents the average air pressure value of the first sampling pipeline interval, and the number of intervals is the total number of the sampling pipeline intervals.
Step S132, determining whether the average air pressure value is smaller than a preset air pressure value, and if so, generating an air pressure adjustment command to control the air pressure adjustment device to adjust the average air pressure value.
Specifically, atmospheric pressure adjusting device includes cylinder and closing plate, and the sample trunk line surface is seted up there is the gas pocket, and the closing plate sets up in gas pocket department, and the cylinder is fixed to be set up on sample trunk line surface, and the gas pole fixed connection of cylinder is in closing plate one side, and after the cylinder received atmospheric pressure adjustment instruction, the control closing plate slided, and the gas pocket is opened.
In a possible implementation manner of the embodiment of the present application, after step S13, the method 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 the abnormal temperature of the environmental temperature information causes abnormal interval pressure difference values of the sampling auxiliary pipeline and the sampling main pipeline;
and if the abnormal temperature of the environmental temperature information causes the abnormal interval pressure difference value of the sampling auxiliary pipeline and the sampling main pipeline, generating environmental abnormal information and controlling and displaying the environmental abnormal information.
The above embodiments describe a method of skewing identification processing from the perspective of a method flow, and the following embodiments describe an apparatus of skewing identification processing from the perspective of a virtual module or virtual unit, and are described in detail in the following embodiments.
The embodiment of the present application provides a device for processing sample identification, and as shown in the figure, the device 20 for processing sample identification 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 judgment module 22 is used for judging whether the license plate information accords with the 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 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 conforms to the preset license plate information, determine a grain area based on the sampling image information if the vehicle enters the preset sampling position, and judge whether the sampling position information is in the grain area;
the alarm generating module 25 is used for generating an abnormal alarm instruction when the sampling position information is not in the grain region, and controlling the preset alarm equipment to perform alarm response;
and the sampling control module 26 is used for generating grain sampling instructions and controlling the sampling equipment to sample grains when the sampling position information is in the grain region.
In a possible implementation manner of the embodiment of the present application, the apparatus 20 further includes: a pipeline acquisition module, a pipeline determination module, an interval division module, a pressure difference determination module and a pressure difference judgment module, wherein,
the pipeline acquisition module is used for acquiring sampling pipeline information after a sampling instruction is detected;
the sampling main pipeline information processing module is used for processing the sampling main pipeline information and the sampling auxiliary pipeline information according to the sampling main pipeline information;
the section dividing module is used for carrying out section division on the main sampling pipeline information according to the pipeline connecting points of the main sampling pipeline information and the auxiliary sampling pipeline information to obtain a plurality of sampling pipeline sections;
the pressure difference determining module is used for acquiring air pressure information of each sampling pipeline section and determining the section pressure difference value of the adjacent sampling pipeline sections based on the air pressure information;
and 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 opening of a pipeline at a pipeline connecting point corresponding to the interval differential pressure value in the sampling auxiliary pipeline information.
In 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 system comprises an image acquisition module, a data processing module and a data processing module, wherein the image acquisition module is used for acquiring vehicle image information and current time information, and 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 and 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 of the embodiment of the application, the image analysis module performs time sampling analysis on the vehicle image information to generate time position information, and the time position information includes:
obtaining sampling time information, wherein the sampling time information is the time information of each sampling time of the main sampling pipeline;
determining the position information of sampling points of the main sampling pipeline each time according to the vehicle image information;
and matching and binding the point position information and the sampling time information to obtain time position information.
In another possible implementation manner of the embodiment of the present application, the apparatus 20 further includes: 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 images in the vehicle image information meet 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 modes: sound output mode and light output mode.
In another possible implementation manner of the embodiment of the present application, the apparatus 20 further includes: a distance acquisition module, an orientation determination module, and a position correction module, wherein,
the distance acquisition module is used for acquiring a pipeline spacing distance, wherein the pipeline spacing distance is the spacing distance between the sampling auxiliary pipeline and the sampling main pipeline corresponding to the sampling auxiliary pipeline information;
the position determining module is used for determining the pipeline position information of the sampling auxiliary pipeline positioned on the sampling main pipeline based on the pipeline connecting point;
and the position correction module is used for analyzing the spacing 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.
In another possible implementation manner of the embodiment of the present application, the apparatus 20 further includes: a mean value calculating module and an air pressure adjusting module, wherein,
the mean value calculation module is used for calculating a mean air pressure value in the main sampling 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 or not, 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 manner of the embodiment of the present application, the apparatus 20 further includes: a temperature acquisition module, an abnormality judgment module and an information generation module, wherein
The temperature acquisition module is used for acquiring environmental temperature information, and the environmental temperature information is temperature information around the sampling auxiliary pipeline and the sampling main pipeline;
the abnormity judging module is used for judging whether the abnormal temperature of the environment temperature information can cause abnormal interval pressure difference values of the sampling auxiliary pipeline and the sampling main pipeline;
and the information generation module is used for generating environment abnormal information and controlling and displaying the environment abnormal information when the temperature abnormality of the environment temperature information can cause the abnormal interval pressure difference value of the sampling auxiliary pipeline and the sampling main pipeline.
In an embodiment of the present application, an electronic device is provided, as shown in fig. 3, where the 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 bus 302. Optionally, the electronic device 300 may also include a transceiver 304. It should be noted that the transceiver 304 is not limited to one in practical applications, 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), a general-purpose Processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or other Programmable logic device, transistor logic device, hardware component, or any combination thereof. Which may implement or perform the various illustrative logical blocks, modules, and circuits described in connection with the disclosure. The processor 301 may also be a combination of computing functions, e.g., comprising one or more microprocessors in combination, a DSP and a microprocessor in combination, or the like.
The Memory 303 may be 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) or other optical Disc storage, optical Disc storage (including Compact Disc, laser Disc, optical Disc, digital versatile Disc, blu-ray Disc, etc.), a magnetic Disc storage medium or other magnetic storage device, 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, but is not limited to these.
The memory 303 is used for storing application program codes for executing the scheme of the application, and the processor 301 controls the execution. The processor 301 is configured to execute application program code stored in the memory 303 to implement the aspects illustrated 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 fixed terminals such as digital TVs, desktop computers, and the like. But also a server, etc. The electronic device shown in fig. 3 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
The present application provides a computer-readable storage medium, on which a computer program is stored, which, when running on a computer, enables the computer to execute the corresponding content in the foregoing method embodiments. Compared with the prior art, in the embodiment of the application, when grain is sampled, whether the license plate information corresponding to the vehicle information accords with the preset license plate information is judged through obtaining the vehicle information, if not, the current vehicle does not belong to a sampling vehicle, therefore, voice broadcast information is generated, workers are informed that the current vehicle is abnormal, the effect of screening the sampling vehicle is achieved, if yes, whether the vehicle enters the preset sampling position is determined according to the vehicle size information and the sampling image information, when the vehicle enters the preset sampling position, a grain area is determined according to the sampling image information, whether the sampling position information is in the grain area is judged, when the vehicle enters the grain area, a grain sampling instruction is generated, sampling equipment is controlled to sample the grain, and when the vehicle does not exist in the grain area, an abnormal alarm instruction is generated, alarm equipment is controlled to give an alarm response, the workers are informed that sampling abnormality exists currently, and therefore, the effect of improving the sampling efficiency of a sampling machine 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, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and may be performed in other orders unless otherwise indicated herein. Moreover, at least a portion of the steps in the flow chart of the figure may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of execution is not necessarily sequential, but may be performed alternately or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
The foregoing is only a partial embodiment of the present application, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present application, and these modifications and decorations should also be regarded as the protection scope of the present application.
Claims (10)
1. A sample identification processing method is characterized by comprising the following steps:
the method comprises the steps of obtaining 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, voice broadcast information is generated;
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 region, generating an abnormal alarm instruction, and controlling preset alarm equipment to give an alarm response;
if the sampling position information is in the grain region, grain sampling instructions are generated, and sampling equipment is controlled to sample grains.
2. The method of claim 1, further comprising:
when a sampling instruction is detected, acquiring sampling pipeline information;
determining main sampling pipeline information and auxiliary sampling pipeline information based on the sampling pipeline information, wherein the auxiliary sampling pipeline information is pipeline information which is located at different positions of a pipeline of the main sampling pipeline information and is communicated with the pipeline of the main sampling pipeline information;
carrying out interval division on the main sampling pipeline information according to the pipeline connecting points of the main sampling pipeline information and the auxiliary sampling pipeline information to obtain a plurality of sampling pipeline intervals;
acquiring air pressure information of each sampling pipeline section, and determining a section differential pressure value of the adjacent sampling pipeline 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 opening of a pipeline at a pipeline connecting point corresponding to the interval pressure difference value in the sampling auxiliary pipeline information.
3. The method according to claim 2, wherein the generating of the tube switching instruction controls opening of the tube at the tube connection point corresponding to the interval differential pressure value in the skewing sub-tube information, and thereafter further comprises:
acquiring vehicle image information and current time information, wherein the vehicle image information is top image information of the grain transport vehicle;
performing time sampling analysis on the vehicle image information to generate time and position information;
and matching the current time information with the time position information to obtain a real-time sampling position.
4. The method of claim 3, wherein the time-sampling analysis of the vehicle image information to generate time-location information comprises:
sampling time information is obtained, wherein the sampling time information is the time information of the main sampling pipeline in each sampling;
determining the position information of the sampling point of the main sampling pipeline each time according to the vehicle image information;
and matching and binding the point position information and the sampling time information to obtain time and position information.
5. The method according to claim 4, wherein said determining point position information of the main skewer tube skewers each time from the vehicle image information further comprises:
judging whether a vehicle image in the vehicle image information meets a preset requirement or not;
if the vehicle images in the vehicle image information meet preset requirements, 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 an alarm device to output an alarm signal in a preset mode, wherein the preset mode comprises at least one of the following modes: sound output mode and light output mode.
6. The method according to claim 2, wherein said obtaining air pressure information for each of said skewing tube intervals further comprises:
calculating an average air pressure value in the main sampling pipeline based on the air pressure information;
and 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 an air pressure adjusting device to adjust the average air pressure value.
7. The method according to claim 2, wherein obtaining air pressure information for each of said skewing tube intervals and determining interval pressure values adjacent said skewing tube intervals based on said air pressure information, and thereafter further comprising:
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 abnormal temperature of the environmental temperature information can cause the abnormal interval differential pressure values of the sampling auxiliary pipeline and the sampling main pipeline;
and if the abnormal temperature of the environmental temperature information can cause the abnormal interval pressure difference value of the sampling auxiliary pipeline and the sampling main pipeline, generating environmental abnormal information and controlling and displaying the environmental abnormal information.
8. A sample identification processing device, comprising:
the system comprises an information acquisition module, a data acquisition module and a data processing module, wherein the information acquisition module is used for acquiring vehicle information and sampling information, 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 judgment 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 broadcast 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 generating module is used for generating an abnormal alarm instruction when the sampling position information is not in the grain region, and controlling preset alarm equipment to give an alarm response;
and the sampling control module is used for generating a grain sampling instruction when the sampling position information is in the grain region, and controlling the sampling equipment to sample grains.
9. 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 programs configured to: performing a skewing identification processing method according to any one of claims 1 to 7.
10. A computer-readable storage medium on which a computer program is stored, the program, when executed by a processor, implementing a sample identification processing method according to any one of claims 1 to 7.
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