CN113850244B - Coal conveying quantity monitoring method, device and equipment based on image recognition and storage medium - Google Patents
Coal conveying quantity monitoring method, device and equipment based on image recognition and storage medium Download PDFInfo
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Abstract
The invention relates to the technical field of data monitoring, and discloses a coal transportation amount monitoring method, device, equipment and storage medium based on image recognition. The method comprises the steps of acquiring a current coal conveying image corresponding to a coal conveying belt, carrying out image processing on the current coal conveying image to obtain a target coal conveying image, calibrating the target coal conveying image according to coal block state calibration information in a historical coal conveying image to obtain target image information, inputting the target image information into a preset coal conveying quantity prediction model to obtain the current coal conveying quantity, acquiring the actual coal conveying quantity through an electronic belt scale, and monitoring the coal conveying quantity according to the actual coal conveying quantity and the current coal conveying quantity. According to the method, the target image information corresponding to the target coal conveying image is obtained according to the calibration result, then the current coal conveying amount is obtained according to the collected current coal conveying image, and the coal conveying amount on the coal conveying belt is accurately monitored according to the actual coal conveying amount and the current coal conveying amount.
Description
Technical Field
The invention relates to the technical field of data monitoring, in particular to a coal conveying quantity monitoring method, device, equipment and storage medium based on image recognition.
Background
In recent years, with the rapid development of the coal industry in China, the utilization rate of coal is higher and higher. The fuel is the main production raw material of a power generation enterprise, the cost of the fuel accounts for about 70% of the total cost of the power generation enterprise, and the fuel cost control and the operational benefits of the power generation enterprise are directly influenced by the level of fuel management. Under the condition of following the principle of economic blending combustion, in order to improve blending efficiency and accurately blend various coal quantities strictly according to blending instructions, the current coal conveying quantity of the belt needs to be accurately measured. Most power plants generally adopt a belt weigher to measure the coal conveying quantity, but when the belt weigher is in an abnormal condition, the measurement mode can cause large errors.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention mainly aims to provide a coal conveying quantity monitoring method, a coal conveying quantity monitoring device, coal conveying equipment and a storage medium based on image recognition, and aims to solve the technical problem that the coal conveying quantity on a coal conveying belt cannot be accurately monitored in the prior art.
In order to achieve the above object, the present invention provides a coal transportation amount monitoring method based on image recognition, which comprises:
acquiring a current coal conveying image corresponding to a coal conveying belt, and performing image processing on the current coal conveying image to obtain a target coal conveying image;
calibrating the target coal conveying image according to coal block state calibration information in the historical coal conveying image to obtain target image information;
inputting the target image information into a preset coal conveying quantity prediction model to obtain the current coal conveying quantity;
and acquiring the actual coal conveying amount through an electronic belt scale, and monitoring the coal conveying amount according to the actual coal conveying amount and the current coal conveying amount.
Optionally, the step of acquiring a current coal conveying image corresponding to the coal conveying belt, and performing image processing on the current coal conveying image to obtain a target coal conveying image specifically includes:
acquiring a current coal conveying image corresponding to a coal conveying belt, and preprocessing the current coal conveying image to obtain a processed current coal conveying image;
acquiring pixel information corresponding to all pixel points in the processed current coal conveying image;
and extracting the region of interest of the processed current coal conveying image according to the pixel information to obtain a target coal conveying image.
Optionally, the step of calibrating the target coal conveying image according to the coal briquette state calibration information in the historical coal conveying image to obtain target image information specifically includes:
acquiring a historical coal conveying image in a preset time period, and performing image processing on the historical coal conveying image to obtain a processed historical coal conveying image;
acquiring coal block width information and coal block height information in the processed historical coal conveying image;
calibrating the target coal conveying image according to the coal block width information and the coal block height information to obtain target width information and target height information;
and determining target image information according to the target width information and the target height information.
Optionally, the step of calibrating the target coal conveying image according to the coal block width information and the coal block height information to obtain target width information and target height information specifically includes:
acquiring actual width information and actual height information corresponding to the historical coal conveying image;
acquiring shooting central point position information corresponding to the historical coal conveying image, and determining angle information of each area in the historical coal conveying image according to the central point position information;
and calibrating the target coal conveying image according to the angle information, the coal block width information and the coal block height information to obtain target width information and target height information.
Optionally, the step of determining the target image information according to the target width information and the target height information specifically includes:
classifying the target width information through a preset width classification rule to obtain different types of target width information;
acquiring target height information corresponding to each piece of target width information in the different types of target width information;
determining the height information of the target coal briquette according to the target height information;
acquiring target coal block width information corresponding to each target width information in the different types of target width information;
and determining target image information according to the height information of the target coal briquette and the width information of the target coal briquette.
Optionally, the step of determining the target image information according to the target width information and the target height information specifically includes:
classifying the target height information through a preset height classification rule to obtain different types of target height information;
acquiring target width information corresponding to each target height information in the different types of target height information;
determining the width information of the target coal briquette according to the target width information;
acquiring target coal block height information corresponding to each target height information in the different types of target height information;
and determining target image information according to the target coal block width information and the target coal block height information.
Optionally, the step of collecting an actual coal conveying amount by an electronic belt scale and monitoring the coal conveying amount according to the actual coal conveying amount and the current coal conveying amount specifically includes:
collecting the actual coal conveying amount through an electronic belt scale;
and when the difference value between the actual coal conveying amount and the current coal conveying amount does not meet a preset condition, controlling the coal conveying belt to stop running and carrying out early warning.
In addition, in order to achieve the above object, the present invention further provides a coal transportation amount monitoring device based on image recognition, including:
the image processing module is used for acquiring a current coal conveying image corresponding to the coal conveying belt and carrying out image processing on the current coal conveying image to obtain a target coal conveying image;
the information acquisition module is used for calibrating the target coal conveying image according to coal block state calibration information in the historical coal conveying image to obtain target image information;
the coal conveying quantity obtaining module is used for inputting the target image information into a preset coal conveying quantity prediction model to obtain the current coal conveying quantity;
and the coal conveying quantity monitoring module is used for acquiring the actual coal conveying quantity through an electronic belt scale and monitoring the coal conveying quantity according to the actual coal conveying quantity and the current coal conveying quantity.
In addition, in order to achieve the above object, the present invention further provides a coal transportation amount monitoring device based on image recognition, including: the coal conveying system comprises a memory, a processor and a coal conveying quantity monitoring program based on image recognition, wherein the coal conveying quantity monitoring program based on image recognition is stored in the memory and can run on the processor, and is configured to realize the coal conveying quantity monitoring method based on image recognition.
In addition, in order to achieve the above object, the present invention further provides a storage medium having a coal transportation amount monitoring program based on image recognition stored thereon, wherein the coal transportation amount monitoring program based on image recognition is executed by a processor to implement the coal transportation amount monitoring method based on image recognition as described above.
The method comprises the steps of acquiring a current coal conveying image corresponding to a coal conveying belt, carrying out image processing on the current coal conveying image to obtain a target coal conveying image, calibrating the target coal conveying image according to coal block state calibration information in a historical coal conveying image to obtain target image information, inputting the target image information into a preset coal conveying quantity prediction model to obtain the current coal conveying quantity, acquiring the actual coal conveying quantity through an electronic belt scale, and monitoring the coal conveying quantity according to the actual coal conveying quantity and the current coal conveying quantity. According to the method, the target coal conveying image is calibrated according to the coal block state calibration information in the historical coal conveying image to obtain the target image information, the target image information corresponding to the target coal conveying image can be obtained according to the calibration result, then the target image information is input into the preset coal conveying amount prediction model to obtain the current coal conveying amount, the current coal conveying amount can be obtained according to the collected current coal conveying image, and then the coal conveying amount on the coal conveying belt is accurately monitored according to the actual coal conveying amount and the current coal conveying amount.
Drawings
FIG. 1 is a schematic structural diagram of a coal transportation monitoring device based on image recognition and used in a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a coal transportation monitoring method based on image recognition according to a first embodiment of the present invention;
FIG. 3 is a schematic flow chart of a coal transportation monitoring method based on image recognition according to a second embodiment of the present invention;
FIG. 4 is a schematic flow chart of a coal transportation monitoring method based on image recognition according to a third embodiment of the present invention;
fig. 5 is a block diagram of a coal transportation monitoring apparatus according to a first embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a coal transportation monitoring device based on image recognition in a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 1, the coal transportation amount monitoring apparatus based on image recognition may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a Wireless interface (e.g., a Wireless-Fidelity (Wi-Fi) interface). The Memory 1005 may be a Random Access Memory (RAM) or a Non-Volatile Memory (NVM), such as a disk Memory. The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the configuration shown in fig. 1 does not constitute a limitation of the coal transportation monitoring apparatus based on image recognition, and may include more or less components than those shown, or some components in combination, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a storage medium, may include therein an operating system, a network communication module, a user interface module, and a coal transportation amount monitoring program based on image recognition.
In the coal transportation monitoring device based on image recognition shown in fig. 1, the network interface 1004 is mainly used for data communication with a network server; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 of the coal transportation amount monitoring device based on image recognition may be disposed in the coal transportation amount monitoring device based on image recognition, and the coal transportation amount monitoring device based on image recognition calls a coal transportation amount monitoring program based on image recognition stored in the memory 1005 through the processor 1001 and executes the coal transportation amount monitoring method based on image recognition provided by the embodiment of the present invention.
The embodiment of the invention provides a coal transportation amount monitoring method based on image recognition, and referring to fig. 2, fig. 2 is a schematic flow diagram of a first embodiment of the coal transportation amount monitoring method based on image recognition.
In this embodiment, the coal transportation amount monitoring method based on image recognition includes the following steps:
step S10: acquiring a current coal conveying image corresponding to a coal conveying belt, and performing image processing on the current coal conveying image to obtain a target coal conveying image;
it should be noted that the execution main body of this embodiment may be the coal transportation monitoring device based on image recognition and having the functions of image processing, network communication and program running, or may be another device capable of implementing the same or similar functions, which is not limited in this embodiment.
It is understood that the current coal conveying image refers to an image corresponding to the coal conveying belt acquired at the current moment, and the current coal conveying image needs to contain the complete coal conveying belt and the coal blocks conveyed on the coal conveying belt.
It should be understood that image processing refers to processing of the current coal conveyor image to obtain an image containing only the coal conveyor belt and the coal pieces transported on the coal conveyor belt.
Further, in order to obtain an accurate target coal conveying image, in the present embodiment, the step S10 includes: acquiring a current coal conveying image corresponding to a coal conveying belt, and preprocessing the current coal conveying image to obtain a processed current coal conveying image; acquiring pixel information corresponding to all pixel points in the processed current coal conveying image; and extracting the region of interest of the processed current coal conveying image according to the pixel information to obtain a target coal conveying image.
In image analysis, the quality of image quality directly affects the accuracy of the design and effect of the recognition algorithm, and therefore, preprocessing is required before image analysis (feature extraction, segmentation, matching, recognition, and the like). The main purposes of image preprocessing are to eliminate irrelevant information in images, recover useful real information, enhance the detectability of relevant information, and simplify data to the maximum extent, thereby improving the reliability of feature extraction, image segmentation, matching and recognition. In this embodiment, the image preprocessing may include denoising the current coal conveying image, which may reduce noise of the current coal conveying image, and may further include other operations of preprocessing the current coal conveying image, which is not specifically limited in this embodiment.
In the embodiment, the current coal conveying image is preprocessed, and then the region of interest of the processed current coal conveying image is extracted, so that a relatively accurate target coal conveying image can be obtained.
In the specific implementation, the interested region can be extracted according to the pixel information corresponding to all pixel points in the processed current coal conveying image, the pixel information refers to the pixel coordinate values of all pixel points, namely the positions of the pixel points in the processed current coal conveying image, the specific interested region extraction method can be that the pixel range of the interested region is preset according to the actual situation, then all the pixel points in the pixel range in the processed current coal conveying image are extracted, and the target coal conveying image can be obtained according to all the extracted pixel points.
Step S20: calibrating the target coal conveying image according to coal block state calibration information in the historical coal conveying image to obtain target image information;
it should be noted that the coal block state calibration information refers to proportional information of the coal block state in the historical coal transportation image corresponding to the coal block state in the actual situation, for example: the ratio between the height of the coal in the historical coal conveying image and the height of the coal in the actual situation, the ratio between the width of the coal in the historical coal conveying image and the width of the coal in the actual situation, and other calibration information may also be included, which is not specifically limited in this embodiment.
It can be understood that the calibration refers to labeling the corresponding relationship between the coal briquette state in the target coal conveying image and the coal briquette state in the actual situation, and the target image information refers to the coal briquette state information in the target coal conveying image and may include coal briquette height information, coal briquette width information and the like in the target coal conveying image.
Step S30: inputting the target image information into a preset coal conveying quantity prediction model to obtain the current coal conveying quantity;
it should be noted that the preset coal conveying amount prediction model is a preset model which can be used for predicting the coal conveying amount, and specifically, the preset coal conveying amount prediction model can be obtained by training image information of a historical coal conveying image as a preset sample.
Step S40: and acquiring the actual coal conveying amount through an electronic belt scale, and monitoring the coal conveying amount according to the actual coal conveying amount and the current coal conveying amount.
Further, in this embodiment, the step S40 includes: collecting the actual coal conveying amount through an electronic belt scale; and when the difference value between the actual coal conveying amount and the current coal conveying amount does not meet a preset condition, controlling the coal conveying belt to stop running and carrying out early warning.
It should be noted that the electronic belt scale is an automatic weighing apparatus that continuously weighs bulk materials on a coal conveying belt without subdividing the quality or interrupting the movement of the coal conveying belt, and the electronic belt scale can collect the actual coal conveying amount corresponding to the coal conveying belt at the current moment.
It can be understood that the preset condition is a preset condition, and can be set according to the actual situation, and this embodiment is not limited to this specifically.
In a specific implementation, the preset condition may be set to a range, and when a difference between an actual coal conveying amount and a current coal conveying amount exceeds the range, it is indicated that there is an error in the actual coal conveying amount or the current coal conveying amount, and at this time, an early warning needs to be sent out to notify a manager to detect the electronic belt scale, detect whether the electronic belt scale is abnormal, and avoid that the coal conveying belt is damaged due to an overweight coal conveying amount corresponding to the coal conveying belt.
According to the method, a target coal conveying image is obtained by collecting a current coal conveying image corresponding to a coal conveying belt and carrying out image processing on the current coal conveying image, then the target coal conveying image is calibrated according to coal block state calibration information in a historical coal conveying image to obtain target image information, then the target image information is input into a preset coal conveying quantity prediction model to obtain the current coal conveying quantity, then an electronic belt scale is used for collecting the actual coal conveying quantity, and the coal conveying quantity is monitored according to the actual coal conveying quantity and the current coal conveying quantity. According to the method, the target coal conveying image is calibrated according to coal block state calibration information in a historical coal conveying image to obtain target image information, the target image information corresponding to the target coal conveying image can be obtained according to a calibration result, then the target image information is input into a preset coal conveying amount prediction model to obtain the current coal conveying amount, the current coal conveying amount can be obtained according to the collected current coal conveying image, and then the coal conveying amount on a coal conveying belt is accurately monitored according to the actual coal conveying amount and the current coal conveying amount.
Referring to fig. 3, fig. 3 is a schematic flow chart of a coal transportation monitoring method based on image recognition according to a second embodiment of the present invention.
Based on the first embodiment described above, in the present embodiment, the step S20 includes:
step S201: acquiring a historical coal conveying image in a preset time period, and performing image processing on the historical coal conveying image to obtain a processed historical coal conveying image;
it should be noted that the preset time period is a preset time period, and can be set according to actual conditions, and the angle of the camera when the historical coal conveying image is acquired is the same as the angle of the camera when the current coal conveying image is acquired.
It should be understood that the image processing procedure in this embodiment is the same as the image processing procedure in the first embodiment described above, and after the image processing is performed on the historical coal conveying image, an image containing the coal conveying belt and the coal blocks on the coal conveying belt, that is, a processed historical coal conveying image, can be obtained.
Step S202: acquiring coal block width information and coal block height information in the processed historical coal conveying image;
the coal width information refers to the width of the coal in the processed historical coal conveying image, that is, the width on the coal conveying belt, and the coal height information refers to the height of the coal in the processed historical coal conveying image, that is, the height on the coal conveying belt.
In a specific implementation, images can be shot above the coal conveying belt and processed to obtain coal block width information, and images can be shot on the front side of the coal conveying belt and processed to obtain coal block height information.
Step S203: calibrating the target coal conveying image according to the coal block width information and the coal block height information to obtain target width information and target height information;
the target width information is coal width information in an actual situation corresponding to the target coal conveying image, and the target height information is coal height information in an actual situation corresponding to the target coal conveying image.
Step S204: and determining target image information according to the target width information and the target height information.
It should be understood that the target image information may include target width information and target height information.
Further, in order to accurately determine the target image information, in this embodiment, the step S204 includes: classifying the target width information through a preset width classification rule to obtain different types of target width information; acquiring target height information corresponding to each piece of target width information in the different types of target width information; determining the height information of the target coal briquette according to the target height information; acquiring target coal block width information corresponding to each target width information in the different types of target width information; and determining target image information according to the height information of the target coal briquette and the width information of the target coal briquette.
The preset width classification rule is a preset rule for classifying according to the width, and can be set according to the width of the coal conveying belt, for example: the target width information is 1-2 cm and is a first category, the target width information is 2-3 cm and is a second category, and other ranges can be set.
It can be understood that for each piece of target width information, there is corresponding target height information, and for all pieces of target height information acquired in the same category, average processing may be performed to obtain target coal briquette height information.
In a specific implementation, the target coal briquette width information may be determined according to each target width information in different types of target width information, and specifically, each target width information may be subjected to average value processing. The target image information can be determined according to the height information and the width information of the target coal blocks, and the target image information of different types is different.
Similarly, in order to accurately determine the target image information, in this embodiment, the step S204 includes: classifying the target height information through a preset height classification rule to obtain different types of target height information; acquiring target width information corresponding to each target height information in the different types of target height information; determining the width information of the target coal briquette according to the target width information; acquiring target coal block height information corresponding to each target height information in the different types of target height information; and determining target image information according to the target coal block width information and the target coal block height information.
It can be understood that the method for determining the target image information in the present embodiment is consistent with the above method, and the present embodiment will not be described in detail herein.
In the embodiment, the target width information is classified according to the preset width classification rule or the target height information is classified according to the preset height classification rule, and the target coal block width information and the target coal block height information are obtained according to the classification result, so that accurate target image information can be obtained.
In the embodiment, a historical coal conveying image in a preset time period is obtained, the historical coal conveying image is subjected to image processing to obtain a processed historical coal conveying image, then coal block width information and coal block height information in the processed historical coal conveying image are obtained, then a target coal conveying image is calibrated according to the coal block width information and the coal block height information to obtain target width information and target height information, and then target image information is determined according to the target width information and the target height information. According to the method, the target coal conveying image is calibrated according to the coal block width information and the coal block height information to obtain the target width information and the target height information, then the target image information is determined according to the target width information and the target height information, the target coal conveying image can be calibrated according to the coal block width information and the coal block height information of the historical coal conveying image, and the target width information and the target height information are obtained according to the calibration result, so that the target image information can be more accurate.
Referring to fig. 4, fig. 4 is a schematic flow chart of a coal transportation monitoring method based on image recognition according to a third embodiment of the present invention.
Based on the foregoing embodiments, in this embodiment, the step S203 includes:
step S2031: acquiring actual width information and actual height information corresponding to the historical coal conveying image;
step S2032: acquiring shooting central point position information corresponding to the historical coal conveying image, and determining angle information of each area in the historical coal conveying image according to the central point position information;
it can be understood that, for the acquired historical coal conveying image, a shooting central point exists, and the farther away from the shooting central point, the smaller coal blocks on the shot image look, but the size of the coal blocks is unchanged in practical situations.
In the specific implementation, the historical coal conveying image can be divided into regions according to the actual situation, the smaller the region is, the more accurate the region is, then the angle information between each region and the shooting central point is obtained, and different calibration methods can be set for different angle information.
Step S2033: and calibrating the target coal conveying image according to the angle information, the coal block width information and the coal block height information to obtain target width information and target height information.
It should be understood that the target coal conveying image set for different angle information should have different proportions from the actual scene, so that the target coal conveying image can be calibrated according to the angle information, the coal block width information and the coal block height information to obtain the target width information and the target height information.
In the embodiment, the target width information and the target height information are obtained by obtaining the actual width information and the actual height information corresponding to the historical coal conveying image, then obtaining the position information of the shooting central point corresponding to the historical coal conveying image, determining the angle information of each area in the historical coal conveying image according to the position information of the central point, and then calibrating the target coal conveying image according to the angle information, the coal block width information and the coal block height information. The method and the device determine the angle information of each area in the historical coal conveying image according to the position information of the central point, calibrate the target coal conveying image according to the angle information, the width information of the coal blocks and the height information of the coal blocks, and calibrate the target coal conveying image according to the position of the shooting central point, so that the target width information and the target height information can be accurately obtained, and the coal conveying amount on the coal conveying belt can be accurately monitored.
In addition, an embodiment of the present invention further provides a storage medium, where the storage medium stores a coal transportation monitoring program based on image recognition, and the coal transportation monitoring program based on image recognition is executed by a processor to implement the coal transportation monitoring method based on image recognition as described above.
Referring to fig. 5, fig. 5 is a block diagram illustrating a coal transportation monitoring apparatus according to a first embodiment of the present invention.
As shown in fig. 5, the coal transportation monitoring apparatus based on image recognition according to the embodiment of the present invention includes:
the image processing module 10 is configured to acquire a current coal conveying image corresponding to the coal conveying belt, and perform image processing on the current coal conveying image to obtain a target coal conveying image;
the information acquisition module 20 is configured to calibrate the target coal conveying image according to coal briquette state calibration information in the historical coal conveying image, and obtain target image information;
the coal conveying amount obtaining module 30 is configured to input the target image information into a preset coal conveying amount prediction model to obtain a current coal conveying amount;
and the coal conveying quantity monitoring module 40 is used for acquiring the actual coal conveying quantity through an electronic belt scale and monitoring the coal conveying quantity according to the actual coal conveying quantity and the current coal conveying quantity.
According to the method, a target coal conveying image is obtained by collecting a current coal conveying image corresponding to a coal conveying belt and carrying out image processing on the current coal conveying image, then the target coal conveying image is calibrated according to coal block state calibration information in a historical coal conveying image to obtain target image information, then the target image information is input into a preset coal conveying quantity prediction model to obtain the current coal conveying quantity, then an electronic belt scale is used for collecting the actual coal conveying quantity, and the coal conveying quantity is monitored according to the actual coal conveying quantity and the current coal conveying quantity. According to the method, the target coal conveying image is calibrated according to coal block state calibration information in a historical coal conveying image to obtain target image information, the target image information corresponding to the target coal conveying image can be obtained according to a calibration result, then the target image information is input into a preset coal conveying amount prediction model to obtain the current coal conveying amount, the current coal conveying amount can be obtained according to the collected current coal conveying image, and then the coal conveying amount on a coal conveying belt is accurately monitored according to the actual coal conveying amount and the current coal conveying amount.
Based on the first embodiment of the coal transportation amount monitoring device based on image recognition, the second embodiment of the coal transportation amount monitoring device based on image recognition is provided.
In this embodiment, the image processing module 10 is further configured to acquire a current coal conveying image corresponding to the coal conveying belt, and pre-process the current coal conveying image to obtain a processed current coal conveying image; acquiring pixel information corresponding to all pixel points in the processed current coal conveying image; and extracting the region of interest of the processed current coal conveying image according to the pixel information to obtain a target coal conveying image.
Further, the information obtaining module 20 is further configured to obtain a historical coal conveying image within a preset time period, and perform image processing on the historical coal conveying image to obtain a processed historical coal conveying image; acquiring coal block width information and coal block height information in the processed historical coal conveying image; calibrating the target coal conveying image according to the coal block width information and the coal block height information to obtain target width information and target height information; and determining target image information according to the target width information and the target height information.
Further, the information obtaining module 20 is further configured to obtain actual width information and actual height information corresponding to the historical coal conveying image; acquiring shooting central point position information corresponding to the historical coal conveying image, and determining angle information of each area in the historical coal conveying image according to the central point position information; and calibrating the target coal conveying image according to the angle information, the coal block width information and the coal block height information to obtain target width information and target height information.
Further, the information obtaining module 20 is further configured to classify the target width information according to a preset width classification rule, so as to obtain different types of target width information; acquiring target height information corresponding to each piece of target width information in the different types of target width information; determining the height information of the target coal briquette according to the target height information; acquiring target coal block width information corresponding to each target width information in the different types of target width information; and determining target image information according to the height information of the target coal briquette and the width information of the target coal briquette.
Further, the information obtaining module 20 is further configured to classify the target height information according to a preset height classification rule, so as to obtain different types of target height information; acquiring target width information corresponding to each target height information in the different types of target height information; determining the width information of the target coal briquette according to the target width information; acquiring target coal block height information corresponding to each target height information in the different types of target height information; and determining target image information according to the target coal block width information and the target coal block height information.
Further, the coal conveying amount monitoring module 40 is further configured to collect an actual coal conveying amount through an electronic belt scale; and when the difference value between the actual coal conveying amount and the current coal conveying amount does not meet a preset condition, controlling the coal conveying belt to stop running and carrying out early warning.
Other embodiments or specific implementation manners of the coal transportation amount monitoring device based on image recognition can refer to the above method embodiments, and are not described herein again.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., a rom/ram, a magnetic disk, an optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (8)
1. The coal conveying quantity monitoring method based on image recognition is characterized by comprising the following steps of:
acquiring a current coal conveying image corresponding to a coal conveying belt, and performing image processing on the current coal conveying image to obtain a target coal conveying image;
calibrating the target coal conveying image according to coal block state calibration information in the historical coal conveying image to obtain target image information;
inputting the target image information into a preset coal conveying quantity prediction model to obtain the current coal conveying quantity;
acquiring actual coal conveying quantity through an electronic belt scale, and monitoring the coal conveying quantity according to the actual coal conveying quantity and the current coal conveying quantity;
the step of calibrating the target coal conveying image according to the coal block state calibration information in the historical coal conveying image to obtain target image information specifically comprises the following steps:
acquiring a historical coal conveying image in a preset time period, and performing image processing on the historical coal conveying image to obtain a processed historical coal conveying image;
acquiring coal block width information and coal block height information in the processed historical coal conveying image;
calibrating the target coal conveying image according to the coal block width information and the coal block height information to obtain target width information and target height information;
determining target image information according to the target width information and the target height information;
the step of determining the target image information according to the target width information and the target height information specifically includes:
classifying the target width information through a preset width classification rule to obtain different types of target width information;
acquiring target height information corresponding to each piece of target width information in the different types of target width information;
determining the height information of the target coal briquette according to the target height information;
acquiring target coal block width information corresponding to each target width information in the different types of target width information;
and determining target image information according to the height information of the target coal briquette and the width information of the target coal briquette.
2. The image-recognition-based coal conveying amount monitoring method according to claim 1, wherein the step of acquiring a current coal conveying image corresponding to a coal conveying belt, and performing image processing on the current coal conveying image to obtain a target coal conveying image specifically comprises:
acquiring a current coal conveying image corresponding to a coal conveying belt, and preprocessing the current coal conveying image to obtain a processed current coal conveying image;
acquiring pixel information corresponding to all pixel points in the processed current coal conveying image;
and extracting the region of interest of the processed current coal conveying image according to the pixel information to obtain a target coal conveying image.
3. The image-recognition-based coal conveying amount monitoring method according to claim 1, wherein the step of calibrating the target coal conveying image according to the coal block width information and the coal block height information to obtain target width information and target height information specifically comprises:
acquiring actual width information and actual height information corresponding to the historical coal conveying image;
acquiring shooting central point position information corresponding to the historical coal conveying image, and determining angle information of each area in the historical coal conveying image according to the central point position information;
and calibrating the target coal conveying image according to the angle information, the coal block width information and the coal block height information to obtain target width information and target height information.
4. The coal transportation monitoring method based on image recognition as claimed in claim 1, wherein the step of determining target image information according to the target width information and the target height information specifically comprises:
classifying the target height information through a preset height classification rule to obtain different types of target height information;
acquiring target width information corresponding to each target height information in the different types of target height information;
determining the width information of the target coal briquette according to the target width information;
acquiring target coal block height information corresponding to each target height information in the different types of target height information;
and determining target image information according to the target coal block width information and the target coal block height information.
5. The coal conveying quantity monitoring method based on image recognition according to any one of claims 1 to 4, wherein the step of collecting an actual coal conveying quantity through an electronic belt scale and monitoring the coal conveying quantity according to the actual coal conveying quantity and the current coal conveying quantity specifically comprises the following steps:
collecting the actual coal conveying amount through an electronic belt scale;
and when the difference value between the actual coal conveying amount and the current coal conveying amount does not meet a preset condition, controlling the coal conveying belt to stop running and carrying out early warning.
6. A coal conveying amount monitoring device based on image recognition is characterized by comprising:
the image processing module is used for acquiring a current coal conveying image corresponding to the coal conveying belt and carrying out image processing on the current coal conveying image to obtain a target coal conveying image;
the information acquisition module is used for calibrating the target coal conveying image according to coal block state calibration information in the historical coal conveying image to obtain target image information;
the coal conveying quantity obtaining module is used for inputting the target image information into a preset coal conveying quantity prediction model to obtain the current coal conveying quantity;
the coal conveying quantity monitoring module is used for collecting the actual coal conveying quantity through an electronic belt scale and monitoring the coal conveying quantity according to the actual coal conveying quantity and the current coal conveying quantity;
the information acquisition module is further used for acquiring a historical coal conveying image in a preset time period, and performing image processing on the historical coal conveying image to acquire a processed historical coal conveying image;
the information acquisition module is further used for acquiring coal block width information and coal block height information in the processed historical coal conveying image;
the information acquisition module is further used for calibrating the target coal conveying image according to the coal block width information and the coal block height information to acquire target width information and target height information;
the information acquisition module is further used for determining target image information according to the target width information and the target height information;
the information acquisition module is further used for classifying the target width information through a preset width classification rule to acquire different types of target width information;
the information acquisition module is further used for acquiring target height information corresponding to each piece of target width information in the different types of target width information;
the information acquisition module is also used for determining the height information of the target coal briquette according to the target height information;
the information acquisition module is further used for acquiring target coal block width information corresponding to each target width information in the different types of target width information;
the information acquisition module is further used for determining target image information according to the target coal block height information and the target coal block width information.
7. A computer device, characterized in that the computer device comprises: a memory, a processor, and a coal transportation amount monitoring program based on image recognition stored on the memory and executable on the processor, the coal transportation amount monitoring program based on image recognition being configured to implement the coal transportation amount monitoring method based on image recognition according to any one of claims 1 to 5.
8. A storage medium having stored thereon a coal transportation amount monitoring program based on image recognition, the coal transportation amount monitoring program based on image recognition implementing the coal transportation amount monitoring method based on image recognition according to any one of claims 1 to 5 when executed by a processor.
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| CN202111438870.3A CN113850244B (en) | 2021-11-29 | 2021-11-29 | Coal conveying quantity monitoring method, device and equipment based on image recognition and storage medium |
| PCT/CN2022/106596 WO2023093087A1 (en) | 2021-11-29 | 2022-07-20 | Image recognition-based coal conveying amount monitoring method and apparatus, device, and storage medium |
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| CN114529824B (en) * | 2022-04-24 | 2022-06-28 | 江苏科比泰智能科技有限公司 | Image recognition-based belt monitoring system and method for adhesive tape conveyor |
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| CN110969898A (en) * | 2018-09-28 | 2020-04-07 | 杭州海康威视系统技术有限公司 | Ship height detection method, device and system |
| CN109751962A (en) * | 2019-03-11 | 2019-05-14 | 冀中能源峰峰集团有限公司 | A kind of coal body product dynamic metering device and method based on machine vision |
| CN112340387A (en) * | 2020-09-30 | 2021-02-09 | 中煤科工集团上海有限公司 | Belt conveyor intelligent control system and control method based on machine vision |
| CN113850244B (en) * | 2021-11-29 | 2022-03-29 | 深圳江行联加智能科技有限公司 | Coal conveying quantity monitoring method, device and equipment based on image recognition and storage medium |
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