Visual detection and identification system applied to loading of granary grain transporting vehicle

Abstract

The invention discloses a visual detection and identification system applied to loading of a granary grain transporting vehicle, relates to the technical field of grain transporting control, solves the technical problems that in the prior art, identification and detection cannot be carried out in a sampling stage, and the sampling efficiency is reduced, and particularly relates to a visual detection and identification system applied to loading of the granary grain transporting vehicle by a loading state evaluation unit. Estimating whether the current state of the grain transporting vehicle meets the actual transportation requirement or not through loading state evaluation; after the loading state evaluation is completed, the loading information analysis unit analyzes the loading information of the granary grain transport vehicle, sampling is carried out on the grain transport vehicle after the loading information is determined, and the sampling identification and detection unit carries out identification and detection when the grain transport vehicle carries out loading and sampling.

Description

Technical Field

[0001] The present invention relates to the field of grain transport control technology, and in particular to a visual detection and recognition system applied to the loading of grain transport vehicles in granaries. Background Art

[0002] Grain trucks are special vehicles used to transport grain. Grain truck visual inspection is the process of using machine vision technology to detect and analyze information related to grain trucks. It mainly involves various types of cameras, such as industrial cameras, CCD cameras or CMOS cameras, which are responsible for collecting image information of grain trucks and related objects. These cameras can be installed in different positions of grain trucks, such as the front, rear, both sides of the carriage, the top, etc., as well as on related facilities such as harvesters and grain storage facilities, to obtain images of different angles and ranges.

[0003] However, in the prior art, it is impossible to evaluate the loading status of the grain transport vehicle during the grain transport stage, which reduces the low-loss performance of transportation, and the loading information cannot be divided, so that grain sampling cannot be effectively performed; in addition, identification and detection cannot be performed during the sampling stage, which reduces the sampling efficiency.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to solve the above-mentioned problems and to propose a visual detection and recognition system for loading grain trucks in grain silos.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A visual inspection and recognition system applied to grain truck loading in a grain warehouse includes a visual inspection platform, which is communicatively connected to a loading status evaluation unit, a loading information analysis unit, and a sampling and recognition inspection unit;

[0008] The loading status evaluation unit evaluates the loading status of the grain transport truck in the granary, and infers whether the current status of the grain transport truck meets the actual transportation demand through the loading status evaluation;

[0009] After completing the loading status assessment, the loading information analysis unit analyzes the loading information of the grain truck in the granary, and samples the grain truck after determining the loading information. The sampling identification and detection unit performs identification and detection when the grain truck is loaded and sampled.

[0010] As a preferred embodiment of the present invention, the operation process of the loading status evaluation unit is as follows:

[0011] According to the deformation bearing weight of each type of grain, the grain is divided into hard grain and soft grain, and the loading proportion of hard grain in the grain stacking position above the soft grain in the loading area of ​​the granary grain transport vehicle is obtained. At the same time, the maximum deviation value of the loss proportion of hard grain and soft grain corresponding to the increase of transportation time in the loading area of ​​the granary grain transport vehicle is obtained, and it is compared with the loading proportion threshold and the maximum deviation threshold respectively.

[0012] As a preferred embodiment of the present invention, if the loading amount ratio of hard grain in the grain stacking position above the soft grain in the loading area of ​​the grain storage truck exceeds the loading amount ratio threshold, or the maximum deviation value of the loss amount ratio of hard grain and soft grain corresponding to the increase of transportation time in the loading area of ​​the grain storage truck exceeds the maximum deviation threshold, a loading position re-planning signal is generated and sent to the visual inspection platform;

[0013] If the loading proportion of hard grain in the grain stacking position above the soft grain in the loading area of ​​the grain silo transport vehicle does not exceed the loading proportion threshold, and the maximum deviation value of the corresponding loss proportion of hard grain and soft grain in the loading area of ​​the grain silo transport vehicle with increasing transportation time does not exceed the maximum deviation threshold, a loading position unchanged signal is generated and sent to the visual inspection platform.

[0014] As a preferred embodiment of the present invention, the operation process of the loading information analysis unit is as follows:

[0015] The granary grain transport truck area is divided into several sub-areas through monitoring cameras, and the distribution position of grain in each sub-area in the granary grain transport truck is obtained. The grain type in each distribution position is marked according to the shape of different types of grain, and the grain type is bound to the distribution position. The depth and height of the granary grain transport truck are combined with the position of the sub-area to identify the type of grain loaded in the sub-area, and divided into single-type areas and compound-type areas based on the identification; according to each type of sub-area, the loading capacity of each sub-area is calibrated through the height identification of the loading truck, and sent to the visual inspection platform in a unified manner.

[0016] As a preferred embodiment of the present invention, the operation process of the sampling identification detection unit is as follows:

[0017] The increase span of the ratio of the sampling amounts of different types of grains sampled in real time at the sampling points in the single-type area during the sampling process is obtained, and the deviation value between the current grain type loading height and the actual sampling height in the composite type area during the sampling process is obtained. The increase span of the ratio of the sampling amounts of different types of grains sampled in real time at the sampling points in the single-type area during the sampling process and the deviation value between the current grain type loading height and the actual sampling height in the composite type area during the sampling process are compared with the ratio increase span threshold and the height deviation threshold, respectively.

[0018] As a preferred embodiment of the present invention, if the increase span of the ratio of the sampling amount of different types of grains sampled in real time during sampling at the sampling point in a single type area exceeds the ratio increase span threshold, or the deviation value between the current grain type loading height and the actual sampling height in the composite type area during sampling exceeds the height deviation threshold, a sampling deviation signal is generated and sent to the visual inspection platform;

[0019] If the increase span of the ratio of the sampling quantities of different types of grains sampled in real time at the sampling point in the single-type area during the sampling process does not exceed the ratio increase span threshold, and the deviation value between the current grain type loading height and the actual sampling height in the composite type area during the sampling process does not exceed the height deviation threshold, a sampling accuracy signal is generated and sent to the visual inspection platform.

[0020] Compared with the prior art, the present invention has the following beneficial effects:

[0021] 1. In the present invention, the loading status of the grain transport vehicle in the granary is evaluated, and the loading status evaluation is used to infer whether the current status of the grain transport vehicle meets the actual transportation demand, so as to avoid the decrease in loading quality caused by abnormal loading status, the deformation or defects of the loaded objects, and the increase in the loss of various types of grain transportation;

[0022] Loading information analysis is performed on grain trucks in granaries. By accurately identifying the type of grain, loading volume, and distribution in the trucks, it is convenient to improve the targeted sampling and increase the efficiency of sampling in grain truck transportation.

[0023] 2. In the present invention, identification and detection are carried out when the grain truck is loaded and sampled to ensure the efficiency and accuracy of the grain truck sampling. By monitoring the sampling process to determine whether sampling abnormalities occur, automatic control from grain truck identification to sampling machine operation is achieved, which greatly improves the efficiency and safety of grain storage. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0025] Figure 1 It is a system principle block diagram of the present invention;

[0026] Figure 2 The present invention is a flow chart of the method. DETAILED DESCRIPTION

[0027] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0028] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0029] See also Figure 1 As shown, a visual inspection and recognition system applied to loading of grain transport vehicles in a granary includes a visual inspection platform, which is communicatively connected to a loading state evaluation unit, a loading information analysis unit, and a sampling and recognition detection unit;

[0030] See also Figure 2 As shown, the visual inspection platform generates a loading state evaluation signal and sends the loading state evaluation signal to the loading state evaluation unit. After receiving the loading state evaluation signal, the loading state evaluation unit evaluates the loading state of the grain transport vehicle in the granary, and infers whether the current state of the grain transport vehicle meets the actual transportation demand through the loading state evaluation, so as to avoid the decrease of loading quality caused by abnormal loading state, the deformation or defect of the loaded object, and the increase of the loss of various types of grain transportation;

[0031] Grains are divided into hard grains and soft grains according to the deformation bearing weight of each type of grain, and the loading ratio of hard grain in the grain stacking position above the soft grain in the loading area of ​​the granary grain transport vehicle is obtained. At the same time, the maximum deviation value of the loss ratio of hard grain and soft grain corresponding to the increase of transportation time in the loading area of ​​the granary grain transport vehicle is obtained, and the loading ratio of hard grain in the grain stacking position above the soft grain in the loading area of ​​the granary grain transport vehicle and the maximum deviation value of the loss ratio of hard grain and soft grain corresponding to the increase of transportation time in the loading area of ​​the granary grain transport vehicle are compared with the loading ratio threshold and the ratio maximum deviation threshold respectively:

[0032] If the loading volume ratio of hard grain in the grain stacking position above the soft grain in the loading area of ​​the grain storage truck exceeds the loading volume ratio threshold, or the maximum deviation value of the loss volume ratio of hard grain and soft grain in the loading area of ​​the grain storage truck as the transportation time increases exceeds the maximum deviation threshold, it is inferred that the loading state assessment of the grain storage truck is abnormal, and a loading position re-planning signal is generated and sent to the visual inspection platform. After receiving the loading position re-planning signal, the visual inspection platform adjusts the loading plan of the grain storage truck;

[0033] If the loading proportion of hard grain in the grain stacking position above the soft grain in the loading area of ​​the grain storage truck does not exceed the loading proportion threshold, and the maximum deviation value of the loss proportion of hard grain and soft grain in the loading area of ​​the grain storage truck with the increase of transportation time does not exceed the maximum deviation threshold, it is inferred that the loading state assessment of the grain storage truck is normal, and a loading position unchanged signal is generated and sent to the visual inspection platform; after the visual inspection platform receives the loading position unchanged signal, the grain storage truck is loaded according to the current loading order;

[0034] After completing the loading status assessment, a loading information analysis signal is generated and sent to the loading information analysis unit. The loading information analysis unit receives the loading information analysis signal and performs loading information analysis on the grain truck in the granary. By accurately identifying the type, loading amount and distribution of grain in the grain truck, it is convenient to improve the pertinence of sampling and improve the efficiency of sampling in the grain truck.

[0035] The granary grain truck area is divided into several sub-areas through monitoring cameras, and the distribution position of grain in each sub-area in the granary grain truck is obtained. The grain type in each distribution position is marked according to the shape of different types of grain, and the grain type is bound to the distribution position. The depth and height of the granary grain truck are combined with the sub-area position to identify the type of grain loaded in the sub-area, and the area is divided into a single type area and a composite type area according to the identification; the loading capacity of each sub-area is calibrated according to the height identification of the grain loading truck according to each type of sub-area, and sent to the visual inspection platform in a unified manner;

[0036] The visual inspection platform generates a sampling identification detection signal and sends it to the sampling identification detection unit. After receiving the sampling identification detection signal, the sampling identification detection unit performs identification detection when the grain truck is loaded and sampled to ensure the efficiency and accuracy of grain truck sampling. By monitoring the sampling process to determine whether there is any sampling abnormality, the automatic control from grain truck identification to sampling machine operation is realized, which greatly improves the efficiency and safety of grain storage.

[0037] The increase span of the sampling amount ratio of different types of grain sampled in real time at the sampling point in the single type area during the sampling process is obtained, and the deviation value between the current grain type loading height and the actual sampling height in the composite type area during the sampling process is obtained. The increase span of the sampling amount ratio of different types of grain sampled in real time at the sampling point in the single type area during the sampling process and the deviation value between the current grain type loading height and the actual sampling height in the composite type area during the sampling process are compared with the ratio increase span threshold and the height deviation threshold respectively:

[0038] If the increase span of the ratio of the sampling amount of different types of grain sampled in real time at the sampling point in the single-type area during the sampling process exceeds the ratio increase span threshold, or the deviation value between the current grain type loading height and the actual sampling height in the composite type area during the sampling process exceeds the height deviation threshold, it is inferred that the sampling identification detection of the grain vehicle is abnormal, and a sampling deviation signal is generated and sent to the visual detection platform. After receiving the sampling deviation signal, the visual detection platform controls the sampling mechanism to stop running and classifies the sampled grain into types;

[0039] If the increase span of the ratio of the sampling quantities of different types of grain sampled in real time at the sampling point in the single-type area during the sampling process does not exceed the ratio increase span threshold, and the deviation value between the current grain type loading height and the actual sampling height in the composite type area during the sampling process does not exceed the height deviation threshold, it is inferred that the sampling and identification detection of the grain truck is normal, and a sampling accuracy signal is generated and sent to the visual inspection platform. After the visual inspection platform receives the sampling accuracy signal, the sampling mechanism is controlled to continue operating.

[0040] When the present invention is in use, the loading status assessment unit performs loading status assessment on the grain silo grain transport vehicle, and infers whether the current status of the grain transport vehicle meets the actual transportation demand through the loading status assessment; after completing the loading status assessment, the loading information analysis unit performs loading information analysis on the grain silo grain transport vehicle, and samples the grain transport vehicle after determining the loading information, and the sampling identification and detection unit performs identification and detection when the grain vehicle is loaded and sampled.

[0041] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A visual inspection and recognition system for loading grain in a grain storage truck, characterized in that: It includes a visual inspection platform, which is communicatively connected with a loading status evaluation unit, a loading information analysis unit, and a sampling identification detection unit; The loading status evaluation unit evaluates the loading status of the grain transport truck in the granary, and infers whether the current status of the grain transport truck meets the actual transportation demand through the loading status evaluation; After completing the loading status assessment, the loading information analysis unit analyzes the loading information of the grain truck in the granary, and samples the grain truck after determining the loading information. The sampling identification and detection unit performs identification and detection when the grain truck is loaded and sampled.

2. The visual detection and recognition system for loading grain in a grain storage truck according to claim 1 is characterized in that: The operation process of the loading status evaluation unit is as follows: According to the deformation bearing weight of each type of grain, the grain is divided into hard grain and soft grain, and the loading proportion of hard grain in the grain stacking position above the soft grain in the loading area of ​​the granary grain transport vehicle is obtained. At the same time, the maximum deviation value of the loss proportion of hard grain and soft grain corresponding to the increase of transportation time in the loading area of ​​the granary grain transport vehicle is obtained, and it is compared with the loading proportion threshold and the maximum deviation threshold respectively.

3. The visual detection and recognition system for loading grain in a grain storage truck according to claim 2 is characterized in that: If the loading volume ratio of hard grain in the grain stacking position above the soft grain in the loading area of ​​the grain storage truck exceeds the loading volume ratio threshold, or the maximum deviation value of the loss volume ratio of hard grain and soft grain corresponding to the increase of transportation time in the loading area of ​​the grain storage truck exceeds the maximum deviation threshold, a loading position re-planning signal is generated and sent to the visual inspection platform; If the loading proportion of hard grain in the grain stacking position above the soft grain in the loading area of ​​the grain silo transport vehicle does not exceed the loading proportion threshold, and the maximum deviation value of the corresponding loss proportion of hard grain and soft grain in the loading area of ​​the grain silo transport vehicle with increasing transportation time does not exceed the maximum deviation threshold, a loading position unchanged signal is generated and sent to the visual inspection platform.

4. The visual detection and recognition system for loading grain in a grain storage truck according to claim 1 is characterized in that: The operation process of the loading information analysis unit is as follows: The granary grain transport truck area is divided into several sub-areas through monitoring cameras, and the distribution position of grain in each sub-area in the granary grain transport truck is obtained. The grain type in each distribution position is marked according to the shape of different types of grain, and the grain type is bound to the distribution position. The depth and height of the granary grain transport truck are combined with the position of the sub-area to identify the type of grain loaded in the sub-area, and divided into single-type areas and compound-type areas based on the identification; according to each type of sub-area, the loading capacity of each sub-area is calibrated through the height identification of the loading truck, and sent to the visual inspection platform in a unified manner.

5. The visual detection and recognition system for loading grain in a grain storage truck according to claim 1 is characterized in that: The operation process of the sampling identification detection unit is as follows: The increase span of the ratio of the sampling amounts of different types of grains sampled in real time at the sampling points in the single-type area during the sampling process is obtained, and the deviation value between the current grain type loading height and the actual sampling height in the composite type area during the sampling process is obtained. The increase span of the ratio of the sampling amounts of different types of grains sampled in real time at the sampling points in the single-type area during the sampling process and the deviation value between the current grain type loading height and the actual sampling height in the composite type area during the sampling process are compared with the ratio increase span threshold and the height deviation threshold, respectively.

6. The visual detection and recognition system for loading grain in a grain storage truck according to claim 5 is characterized in that: If the increase span of the ratio of the sampling amount of different types of grains sampled in real time during sampling at the sampling point in a single type area exceeds the ratio increase span threshold, or the deviation value between the current grain type loading height and the actual sampling height in the composite type area exceeds the height deviation threshold during sampling, a sampling deviation signal is generated and sent to the visual inspection platform; If the increase span of the ratio of the sampling quantities of different types of grains sampled in real time at the sampling point in the single-type area during the sampling process does not exceed the ratio increase span threshold, and the deviation value between the current grain type loading height and the actual sampling height in the composite type area during the sampling process does not exceed the height deviation threshold, a sampling accuracy signal is generated and sent to the visual inspection platform.

Images