Material blockage detection method, device and equipment

Abstract

The embodiment of the invention discloses a material blocking detection method, device and equipment. The material blocking detection method comprises the steps that image information of materials in the conveying process in conveying equipment is obtained; determining the area ratio of materials in the image information according to the image information; and the material blocking state of the conveying equipment is determined according to the area proportion. By the adoption of the technical scheme, whether the conveying equipment is blocked or not is detected in real time, the operation condition of materials in the conveying equipment is visually captured, the influence of external factors on blocking condition detection is avoided, the labor cost is saved, the stability, timeliness and accuracy of detection are improved, and the service life of the conveying equipment is prolonged.

Description

Technical Field

[0001] The present invention relates to the technical field of material blockage detection for conveying equipment, and in particular to a material blockage detection method, device and equipment. Background Art

[0002] At present, the traditional technology for monitoring the operating status of conveying equipment is to determine whether the equipment is stuck by monitoring the current level during the operation of the motor. If the current is too high, it is judged as a stall; or by opening the manhole observation port of the conveying equipment, the staff actively observes whether there is material accumulation inside to determine whether the conveying equipment is blocked.

[0003] However, in actual situations, due to the accuracy of the current monitoring sensor, the complexity of the materials and other issues, the current increase is sometimes just a momentary fluctuation of the material, and the conveying equipment does not get blocked; or due to entanglement and slippage, the conveying equipment's motor will not get blocked, the spiral shaft slips and idles, the motor current does not increase, but the material still accumulates in the spiral cavity, causing the conveying equipment to get blocked, and the blockage detection lacks accuracy. Summary of the invention

[0004] The embodiments of the present invention provide a material blockage detection method, device and equipment to improve the accuracy of material blockage detection of conveying equipment, save labor costs and extend the service life of the conveying equipment.

[0005] In a first aspect, an embodiment of the present invention provides a material blockage detection method, comprising:

[0006] Obtain image information of materials during transportation inside the conveying equipment;

[0007] Determine the area ratio of the material in the image information according to the image information;

[0008] The material blocking state of the conveying equipment is determined according to the area ratio.

[0009] Optionally, determining the area ratio of the material in the image information according to the image information includes:

[0010] determining a first number of material pixels and a second number of non-material pixels based on the image information;

[0011] The area ratio of the material is determined according to the first quantity and the second quantity.

[0012] Optionally, determining a first number of material pixels and a second number of non-material pixels based on the image information includes:

[0013] Binarizing the image information to obtain a binary image;

[0014] Strengthening the boundary edges of pixels of different colors in the binary image by an edge detection algorithm to obtain an enhanced binary image with enhanced edges;

[0015] The first number and the second number are determined according to the enhanced binary image.

[0016] Optionally, before obtaining the image information of the material during the conveying process inside the conveying equipment, the method further includes:

[0017] Obtaining the real-time current of the motor in the conveying device;

[0018] When the real-time current is greater than the current threshold, an operation of acquiring image information of the material during the conveying process inside the conveying device is performed.

[0019] Optionally, after determining the blocking state of the conveying equipment according to the area ratio, the method further includes:

[0020] The conveying speed of the conveying device is controlled according to the material blocking state.

[0021] Optionally, controlling the conveying speed of the conveying device according to the material blocking state includes:

[0022] If the material blocking state is a non-blocking state, controlling the conveying speed of the conveying device to be a first speed;

[0023] If the material blocking state is a material blocking warning state, controlling the conveying speed of the conveying device to be a second speed; the second speed is less than the first speed;

[0024] If the material blocking state is the blocked state, the conveying speed of the conveying device is controlled to be a third speed, and the third speed is lower than the second speed.

[0025] Optionally, determining the material blocking state of the conveying equipment according to the area ratio includes:

[0026] If the area ratio is less than or equal to a first threshold, determining that the material blocking state is a non-material blocking state;

[0027] If the area ratio is greater than the first threshold and less than or equal to the second threshold, the material blockage state is determined to be a material blockage warning state; and the second threshold is greater than the first threshold;

[0028] If the area ratio is greater than the second threshold, it is determined that the material blocking state is a material blocked state.

[0029] Optionally, the material blockage detection method further includes:

[0030] A warning reminder is given according to the material blocking state.

[0031] In a second aspect, an embodiment of the present invention provides a material blocking detection device, including an acquisition module, a calculation module and a material blocking state determination module;

[0032] The acquisition module is used to acquire image information of the material during the transportation process inside the conveying equipment;

[0033] The calculation module is used to determine the area ratio of the material in the image information according to the image information;

[0034] The material blocking state determining module is used to determine the material blocking state of the conveying equipment according to the area ratio.

[0035] In a third aspect, an embodiment of the present invention provides a material blocking detection device, comprising:

[0036] one or more processors;

[0037] a storage device for storing one or more programs,

[0038] When the one or more programs are executed by the one or more processors, the one or more processors implement the material blockage detection method described in any embodiment of the present invention.

[0039] This embodiment obtains image information of materials during the transportation process inside the conveying equipment, and determines the blockage state of the conveying equipment according to the area ratio of the materials in the image information, so as to realize real-time detection of whether the conveying equipment has material blockage, intuitively capture the operation of materials in the conveying equipment, avoid the influence of external factors on the detection of material blockage, save labor costs, improve the stability, timeliness and accuracy of detection, and extend the service life of transportation equipment.

[0040] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0042] Figure 1 is a structural schematic diagram of a material blockage detection system provided by an embodiment of the present invention;

[0043] Figure 2 is a flow chart of a material blockage detection method provided by an embodiment of the present invention;

[0044] Figure 3 is a flow chart of another material blockage detection method provided by an embodiment of the present invention;

[0045] Figure 4 is a flow chart of another material blockage detection method provided by an embodiment of the present invention;

[0046] Figure 5 is a flow chart of another material blockage detection method provided by an embodiment of the present invention;

[0047] Figure 6 is a flow chart of another material blockage detection method provided by an embodiment of the present invention;

[0048] Figure 7 is a flow chart of another material blockage detection method provided by an embodiment of the present invention;

[0049] Figure 8 is a flow chart of another material blockage detection method provided by an embodiment of the present invention;

[0050] Fig. 9 is a structural schematic diagram of a material blockage detection device provided by an embodiment of the present invention;

[0051] Fig.10 It is a structural schematic diagram of a material blockage detection device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0052] 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 should fall within the scope of protection of the present invention.

[0053] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0054] Figure 1 is a structural schematic diagram of a material blockage detection system provided by an embodiment of the present invention; Figure 2 This is a flow chart of a material blockage detection method provided by an embodiment of the present invention. This embodiment is applicable to monitoring whether a conveying device has material blockage. The method can be performed by a material blockage detection device, which can be implemented in the form of hardware and / or software. Figure 1 As shown, the material blockage detection system 100 provided in the embodiment of the present invention includes: a manhole observation port 1, a camera 2, a conveying equipment housing 3, materials 4, a spiral conveying shaft 5 and a spiral main motor 6.

[0055] Specifically, the spiral main motor 6 drives the spiral conveyor shaft 5 to rotate, thereby driving the material 4 at the entrance to be transported backward. In the prior art, the staff opens the manhole observation port 1 and observes with the naked eye whether the material 4 being transported inside the conveying equipment housing 3 is piled up, so as to detect whether the conveying equipment is blocked by materials. However, due to the complexity and uncertainty of the transported materials, the above method may cause the staff to be in a dangerous environment due to opening the manhole observation port 1, such as being affected by the high temperature and high pressure environment of the transported materials or the toxic and harmful gases emitted by the materials, and the safety is low; and while a lot of manpower costs are spent on detection, manual detection cannot guarantee the timeliness and accuracy of blockage detection, and being in a blockage situation for a long time may cause damage to the conveying equipment and reduce the service life of the conveying equipment.

[0056] Based on the above problems, the embodiment of the present invention provides a method for detecting blockage. Figure 1 and Figure 2 , the blockage detection method includes:

[0057] S110, acquiring image information of the material during the transportation process inside the conveying equipment.

[0058] Specifically, under the premise of ensuring that the camera 2 covers the entire width of the conveying channel inside the conveying equipment, the real-time image of a certain area inside the conveying equipment is obtained through the camera 2 to obtain image information of the material during the conveying process inside the conveying equipment.

[0059] For example, the video of the material 4 being transported inside the conveying device can be recorded by camera 2, and the video can be read frame by frame based on the OpenCV library, so as to extract a certain frame of image in the video to complete the acquisition of image information of the material being transported inside the conveying device; or, the camera 2 can take a photo of the material being transported inside the conveying device at a preset interval, and the taken photo can be used as the image information of the material at a certain moment in the process of being transported inside the conveying device. It should be noted that the method for acquiring image information can be adjusted according to actual conditions, and this embodiment does not specifically limit this.

[0060] S120: Determine the area ratio of the material in the image information according to the image information.

[0061] Specifically, the image information obtained during the equipment transportation process includes materials and non-materials. The contours of multiple materials in the image information are determined based on the contour detection technology, and the area size of the internal area of ​​each contour is obtained. The area of ​​the internal area of ​​each contour is added together to obtain the area of ​​the material in the image information. The total area of ​​the image information is calculated by the length and width of the image information, and then the area ratio of the material = the area of ​​the material / the total area.

[0062] For example, the length of the image information is 80 cm and the width is 60 cm, so the total area of ​​the image information is determined to be 4800 cm 2 The contour detection technology determines that the contour of the material includes the first contour, the second contour and the third contour. Based on computer vision and image processing technology, the area enclosed by the first contour is determined to be 1000cm 2 The area enclosed by the second contour is 1100cm 2 , the area enclosed by the third contour is 300cm 2 Therefore, the area of ​​the material = the area of ​​the area surrounded by the first contour + the area of ​​the area surrounded by the second contour + the area of ​​the area surrounded by the third contour = 2400cm 2 , then the area proportion of the material in the image information = 2400 / 4800 = 50%.

[0063] S130, determining the material blocking state of the conveying equipment according to the area ratio.

[0064] Specifically, the area ratio indicates the degree of material occupation of the conveying channel area captured by camera 2. The larger the area ratio, the more material there is in the conveying device; the smaller the area ratio, the less material there is in the conveying device. The area ratio of the material when the conveying device is blocked can be set as a threshold in advance, and the area ratio detected in real time is compared with the threshold, so as to determine the blocking state of the conveying device according to the comparison result.

[0065] This embodiment obtains image information of materials during the transportation process inside the conveying equipment, and determines the blockage state of the conveying equipment according to the area ratio of the materials in the image information, so as to realize real-time detection of whether the conveying equipment has material blockage, intuitively capture the operation of materials in the conveying equipment, avoid the influence of external factors on the detection of material blockage, save labor costs, improve the stability, timeliness and accuracy of detection, and extend the service life of transportation equipment.

[0066] Based on the above embodiments, Figure 3 is a flow chart of another material blockage detection method provided by an embodiment of the present invention. Figure 3 The material blockage detection method shown explains how to determine the area ratio of the material.

[0067] like Figure 3 As shown, the material blocking detection method comprises the following steps:

[0068] S210, acquiring image information of the material during the transportation process inside the conveying equipment.

[0069] S220. Determine a first number of material pixels and a second number of non-material pixels based on the image information.

[0070] Specifically, a machine learning or deep learning model can be trained to automatically distinguish between materials and non-materials, such as a support vector machine, a random forest, or a convolutional neural network. A large number of material and non-material images are collected and annotated as training sets, and material pixel features and non-material pixel features are extracted as training data and input into the model to complete the construction of the recognition model. The trained recognition model is used to identify material pixels and non-material pixels in the image information, and each pixel in the image is classified as material or non-material by using the different features of material pixels and non-material pixels. Then, the contours of multiple materials in the image information are determined based on the contour detection technology, and the number of pixels contained in each contour area is obtained. The number of pixels contained in each contour area is summed to obtain a first number of material pixels in the image information; the number of pixels outside each contour area is obtained, and the number of pixels outside each contour area is summed to obtain a second number of non-material pixels in the image information, and the first number of material pixels and the second number of non-material pixels in the image information are counted.

[0071] S230. Determine the area ratio of the material according to the first quantity and the second quantity.

[0072] Specifically, the sum of the first number of material pixels and the second number of non-material pixels is the number of all pixels contained in the image information. Since the area of ​​a single pixel is consistent in image information with the same resolution when the image information is decomposed into pixels, the area ratio of the material can be converted into the number ratio of material pixels. Therefore, the area ratio of the material can be calculated by the formula: first number / (first number+second number).

[0073] S240, determining the material blocking state of the conveying equipment according to the area ratio.

[0074] This embodiment determines the area ratio of the material based on the first number of material pixels and the second number of non-material pixels, thereby converting the area ratio of the material into the number ratio of material pixels. While simplifying the process of determining the material area ratio, it improves the accuracy of calculating the material area ratio, thereby improving the accuracy of blockage detection and extending the service life of transportation equipment.

[0075] Based on the above embodiments, Figure 4 is a flow chart of another material blockage detection method provided by an embodiment of the present invention. Figure 4 The material blocking detection method shown in the figure explains how to determine the first quantity and the second quantity. Figure 4 As shown, the material blocking detection method comprises the following steps:

[0076] S310, acquiring image information of the material during the transportation process inside the conveying equipment.

[0077] S320, binarizing the image information to obtain a binary image.

[0078] S330 , enhancing the boundary edges of pixels of different colors in the binary image by using an edge detection algorithm to obtain an enhanced binary image with enhanced edges.

[0079] S340 , determining a first quantity and a second quantity according to the enhanced binary image.

[0080] Specifically, the color image information can be converted into a grayscale image by making the three components of red, green and blue in the image information equal, and using Gaussian blur to reduce the noise of the grayscale image, thereby retaining the main structure, material information and non-material information in the image information, while reducing the amount of image information data, and improving the efficiency and accuracy of identifying material pixels and non-material pixels. The processed grayscale image is binarized, and a suitable grayscale threshold is selected according to the characteristics of material pixels and non-material pixels. The pixels in the grayscale image are divided into material pixels and non-material pixels based on the grayscale threshold. Pixels above the grayscale threshold are material pixels and are marked as white; pixels below the grayscale threshold are non-material pixels and are marked as black, thereby obtaining a binary image including white material areas and black non-material areas. An edge detection algorithm based on edge detection is used to detect the boundary edges between pixels of different colors in a binary image. The edge detection algorithm can be a first-order differential operator, a second-order differential operator or a Canny operator. After edge detection, the edge is sharpened to increase the contrast of edge pixels to highlight the boundary edge, improve edge connectivity and clarity, and obtain an enhanced binary image with edge enhancement. The first number and the second number are determined based on the enhanced binary image, thereby improving the detection accuracy of the material pixel number and the non-material pixel number.

[0081] S350: Determine the area ratio of the material according to the first quantity and the second quantity.

[0082] S360, determining the material blocking state of the conveying equipment according to the area ratio.

[0083] This embodiment performs image preprocessing on image information through binarization and edge detection algorithm to obtain an enhanced binary image, and determines the number of material pixels and non-material pixels based on the enhanced binary image, thereby improving the efficiency and accuracy of material pixel and non-material pixel identification and providing reliable data support for subsequent blockage detection.

[0084] Based on the above embodiments, Figure 5 is a flow chart of another material blockage detection method provided by an embodiment of the present invention. Figure 5 The material blocking detection method shown is described before obtaining image information. Figure 5 As shown, the material blocking detection method comprises the following steps:

[0085] S410, obtaining the real-time current of the motor in the conveying equipment.

[0086] Specifically, a current sensor can be used to detect the current through the motor wire and convert it into a readable electrical signal to measure the real-time current of the motor in the conveying device. Exemplarily, the current sensor can be a Hall effect sensor, a magnetic sensor, or a resistive sensor, which is not specifically limited in this embodiment.

[0087] S420: When the real-time current is greater than the current threshold, image information of the material being transported inside the conveying equipment is obtained.

[0088] Specifically, when the conveying equipment is blocked, the material cannot flow normally, causing the motor to overcome greater resistance to drive the equipment. Compared with the normal conveying situation without blockage, this additional load will increase the working current of the motor. However, due to the complexity of material transportation, the increase in current may sometimes be caused by the conveying equipment driving the stationary material to move instantly or the sudden increase of material in the conveying channel. In fact, there is no blockage. Therefore, the monitoring of the motor current of the conveying equipment is used as a pre-judgment for blockage detection based on image information. When the real-time current detected by the current sensor is less than or equal to the current threshold, it means that the conveying equipment is not blocked, and there is no need to determine the blockage detection operation based on the image information, thereby saving energy consumption; when the real-time current detected by the current sensor is greater than the current threshold, it means that the conveying equipment may be blocked, and then the image inside the conveying equipment is acquired to achieve further detection of whether the material is blocked.

[0089] S430: Determine the area ratio of the material in the image information according to the image information.

[0090] S440, determining the material blocking state of the conveying equipment according to the area ratio.

[0091] This embodiment detects the motor current of the conveying equipment, and acquires image information of the material in the conveying process inside the conveying equipment when the current is greater than a threshold value, thereby determining the material blockage condition of the conveying equipment based on the graphic information, thereby improving the response speed of detection when material blockage occurs, and avoiding energy waste caused by acquiring image information when no material blockage occurs. At the same time, the material blockage state of the conveying equipment is determined by combining motor current detection and image information, thereby improving the accuracy of material blockage detection.

[0092] Based on the above embodiments, Figure 6 is a flow chart of another material blockage detection method provided by an embodiment of the present invention. Figure 6 The blockage detection method shown in the figure is described after determining the blockage state. Figure 6 As shown, the material blocking detection method comprises the following steps:

[0093] S510: Acquire image information of the material during the transportation process inside the conveying equipment.

[0094] S520: Determine the area ratio of the material in the image information according to the image information.

[0095] S530, determining the material blocking state of the conveying equipment according to the area ratio.

[0096] S540, controlling the conveying speed of the conveying equipment according to the material blocking state.

[0097] Specifically, after determining the blockage state of the conveying equipment according to the area ratio of the material in the image information, the conveying speed of the conveying equipment is adjusted in real time based on the blockage state. When blockage is detected, the PLC controller can issue a control instruction to reduce the motor speed, thereby reducing the flow of subsequent incoming materials, gaining time for unblocking, and avoiding the situation where the material conveying speed remains at the original speed when blockage occurs, causing the blockage to become more and more serious. At the same time, if there is no blockage at the current conveying speed, the PLC controller can issue a control instruction to increase the motor speed, and appropriately speed up the conveying speed of the conveying equipment for materials to improve work efficiency.

[0098] This embodiment adjusts the conveying speed of the conveying equipment in real time based on the real-time detected blockage status, thereby avoiding the deterioration of the situation after the conveying equipment is blocked, and can improve work efficiency when no blockage occurs, thereby improving the flexibility of the conveying equipment and extending the service life of the conveying equipment.

[0099] Optionally, the conveying speed of the conveying equipment is controlled according to the blockage status, including: if the blockage status is a non-blockage status, the conveying speed of the conveying equipment is controlled to be a first speed; if the blockage status is a blockage warning status, the conveying speed of the conveying equipment is controlled to be a second speed; the second speed is less than the first speed; if the blockage status is a blocked status, the conveying speed of the conveying equipment is controlled to be a third speed, and the third speed is less than the second speed.

[0100] Specifically, the blockage status of the conveying equipment may include an unblocked state, a blockage warning state and a blocked state, wherein the unblocked state indicates that the proportion of materials in the conveying channel inside the conveying equipment is normal; the blockage warning state indicates that the proportion of materials in the conveying channel inside the conveying equipment is relatively large; the blocked state indicates that the proportion of materials in the conveying channel inside the conveying equipment is too large, and materials are continuously and closely connected. When it is detected that the blocking state of the conveying equipment is an unblocked state, the control system can issue an instruction to adjust the motor speed to the first speed. The first speed can be the maximum or normal working speed designed for the conveying equipment to ensure that when there is less material inside the conveying equipment, the material can be transported at the fastest speed, thereby improving production efficiency; when it is detected that the blocking state of the conveying equipment is a blocking warning state, the control system can issue an instruction to adjust the motor speed to the second speed, so that the conveying speed of the conveying equipment is reduced to the second speed. The second speed is lower than the first speed. The purpose is to reduce the flow rate of subsequent incoming materials and provide a time window for operators to deal with the blocking warning situation; when it is detected that the blocking state of the conveying equipment is a blocked state, the control system can issue an instruction to adjust the motor speed to the third speed, so that the conveying speed is reduced to the third speed. The third speed is the lowest of the three and aims to minimize the pressure on the blockage area while creating conditions for cleaning work.

[0101] Exemplarily, the normal working speed of the conveying equipment can be 15m / min, that is, the conveying equipment can convey the material forward 15m per minute. The first speed can be set to 20m / min, the second speed to 10m / min, and the third speed to 1m / min. When the conveying equipment is running at a normal working speed of 15m / min, when it is detected that the blocking state of the conveying equipment is not blocked, the control system can issue an instruction to increase the conveying speed of the conveying equipment from 15m / min to 20m / min to improve the transportation efficiency; when it is detected that the blocking state of the conveying equipment is a blocking warning state, the control system can issue an instruction to reduce the conveying speed of the conveying equipment from 15m / min to 10m / min to reduce the flow of subsequent incoming materials and provide a time window for operators to handle the blocking warning situation; when it is detected that the blocking state of the conveying equipment is a blocked state, the control system can issue an instruction to reduce the conveying speed of the conveying equipment from 15m / min to 1m / min to minimize the pressure on the blocked area, while creating conditions for cleaning work and avoiding the deterioration of the blocked state.

[0102] It should be noted that the above only exemplifies the values ​​of the first speed, the second speed and the third speed, and does not serve as a specific limitation on the embodiments of the present invention. Under the premise of satisfying the normal working speed, the first speed, the second speed and the third speed, the values ​​of the first speed, the second speed and the third speed can be adjusted according to actual conditions.

[0103] Based on the above embodiments, Figure 7 is a flow chart of another material blockage detection method provided by an embodiment of the present invention. Figure 7 The blockage detection method shown in the figure explains how to determine the blockage status of the conveying equipment. Figure 7 As shown, the material blocking detection method comprises the following steps:

[0104] S610: Acquire image information of the material during the transportation process inside the conveying equipment.

[0105] S620: Determine the area ratio of the material in the image information according to the image information.

[0106] S630: If the area ratio is less than or equal to the first threshold, determine that the material blocking state is a non-blocking state.

[0107] S640: If the area ratio is greater than the first threshold and less than or equal to the second threshold, determine that the material blockage state is a material blockage warning state; and the second threshold is greater than the first threshold.

[0108] S650: If the area ratio is greater than the second threshold, determine that the material blocking state is a material blocked state.

[0109] Specifically, after determining the area ratio of the material according to the image information, the blocking state of the conveying equipment is determined based on the relationship between the area ratio and the first threshold and the second threshold, wherein the second threshold is greater than the first threshold. When the detected material area ratio is less than or equal to the preset first threshold, it indicates that the material flows smoothly during the conveying process and no blockage occurs. It is determined that the current conveying equipment is in an unblocked state. In this state, the current conveying speed can be kept unchanged, or fine-tuned according to production needs to ensure that the material can be continuously and stably transported, and the transportation rate is increased. When the material area ratio is greater than the first threshold but less than or equal to the second threshold, it indicates that the material has begun to accumulate. Although it has not yet reached the level of complete blockage, it needs to attract the attention of the operator. It is determined that the current conveying equipment is in a blocking warning state. In this state, the conveying speed of the conveying equipment can be reduced to reduce the flow of subsequent incoming materials, providing a time window for the operator to handle the warning. When the material area ratio is greater than the second threshold, it indicates that the material has completely blocked the conveying channel of the conveying equipment and cannot continue to flow. It is determined that the current conveying equipment is in a blocked state. In this state, the conveying equipment can be stopped immediately to prevent further damage to the conveying equipment, and the time and location of the blockage should be recorded for subsequent analysis and processing.

[0110] Exemplarily, the first threshold value can be 40%, and the second threshold value can be 80%. When the detected material area accounts for less than or equal to 40%, it is determined that the current conveying equipment is in an unblocked state; when the detected material area accounts for more than 40% and less than or equal to 80%, it is determined that the current conveying equipment is in a blockage warning state; when the detected material area accounts for more than 80%, it is determined that the current conveying equipment is in a blocked state. It should be noted that the above only exemplifies the values ​​of the first threshold and the second threshold, and does not serve as a specific limitation on the embodiments of the present invention. On the premise that the relationship between the first threshold and the second threshold is met, the values ​​of the first threshold and the second threshold can be adjusted according to actual conditions.

[0111] This embodiment determines the blockage state of the conveying equipment by comparing the area ratio of the material with the first threshold and the second threshold, thereby improving the efficiency and flexibility of blockage detection and providing operators with timely and accurate feedback information so that they can take corresponding measures to ensure the stable operation of the conveying equipment and extend the service life of the conveying equipment.

[0112] Based on the above embodiments, Figure 8 is a flow chart of another material blockage detection method provided by an embodiment of the present invention. Figure 8 The blockage detection method shown in the figure explains how to issue a warning based on the blockage status of the conveying equipment. Figure 8 As shown, the material blocking detection method comprises the following steps:

[0113] S710: Acquire image information of materials during transportation inside the conveying equipment.

[0114] S720: Determine the area ratio of the material in the image information according to the image information.

[0115] S730. Determine the material blocking state of the conveying equipment according to the area ratio.

[0116] S740, giving a warning according to the material blocking status.

[0117] Specifically, the blocking state may include an unblocked state, a blocking warning state, and a blocked state, wherein the unblocked state may mean that the material flows smoothly during the conveying process without any blockage; the blocking warning state may mean that the material has begun to show a tendency to accumulate, and although it has not yet reached the level of complete blockage, it needs to attract the attention of the operator; the blocked state may mean that the material has blocked the conveying channel of the conveying equipment and cannot continue to flow. When the blocking state is an unblocked state, the operator may be informed through a warning that the conveying equipment is in a normal state; when the blocking state is a blocking warning state or a blocked state, the conveying equipment is in an abnormal conveying process, so a warning needs to be issued to remind the operator to troubleshoot the fault to prevent further damage to the conveying equipment. The warning may include but is not limited to at least one of a voice reminder, a buzzer reminder, a light reminder, etc., and this embodiment does not specifically limit this.

[0118] Exemplarily, the warning reminder may include a buzzer reminder and a light reminder, wherein the buzzer reminder may include an intermittent buzzer sound and a continuous buzzer sound, and the light reminder may include a green light reminder, a yellow light reminder, and a red light reminder. When the material blocking state is a non-blocked state, a green light reminder may be issued to inform the operator that the conveying equipment is in a normal state; when the material blocking state is a blocking warning state, an intermittent buzzer sound and a yellow light reminder may be issued to draw the attention of the operator to intervene in the transportation state of the conveying equipment to avoid the occurrence of a blockage; when the material blocking state is a blocked state, a continuous buzzer sound and a red light reminder may be issued to warn the operator to eliminate the fault in time to prevent the conveying equipment from being further damaged.

[0119] This embodiment issues warnings based on the material blockage status, making it easier for operators to promptly detect abnormal conditions of the conveying equipment and then take corresponding countermeasures, thereby improving the efficiency of material blockage detection and the operational safety of the conveying equipment and extending the service life of the conveying equipment.

[0120] Based on the same inventive concept, Fig. 9 is a schematic diagram of the structure of a material blocking detection device provided by an embodiment of the present invention, such as Fig. 9As shown, the material blocking detection device includes an acquisition module 810, a calculation module 820 and a material blocking state determination module 830;

[0121] An acquisition module 810 is used to acquire image information of materials during transportation inside the conveying equipment;

[0122] A calculation module 820, used to determine the area ratio of the material in the image information according to the image information;

[0123] The material blocking state determination module 830 is used to determine the material blocking state of the conveying equipment according to the area ratio.

[0124] The material blockage detection device provided in the embodiment of the present invention can execute the material blockage detection method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0125] Fig.10 The blockage detection device 80 that can be used to implement the embodiment of the present invention is shown. The blockage detection device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workbenches, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The blockage detection device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are only used as examples, and are not intended to limit the implementation of the present invention described and / or required herein.

[0126] like Fig.10 As shown, the material blocking detection device 80 includes at least one processor 81, and a memory connected to the at least one processor 81, such as a read-only memory (ROM) 82, a random access memory (RAM) 83, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 81 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 82 or the computer program loaded from the storage unit 88 to the random access memory (RAM) 83. In RAM 83, various programs and data required for the operation of the sewage discharge device 80 can also be stored. The processor 81, ROM 82 and RAM 83 are connected to each other via a bus 84. An input / output (I / O) interface 85 is also connected to the bus 84.

[0127] Multiple components in the blockage detection device 80 are connected to the I / O interface 85, including: an input unit 86, such as a keyboard, a mouse, etc.; an output unit 87, such as various types of displays, speakers, etc.; a storage unit 88, such as a disk, an optical disk, etc.; and a communication unit 89, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 89 allows the sewage discharge device 80 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0128] The processor 81 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 81 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. The processor 81 executes the various methods and processes described above, such as a material blocking detection method.

[0129] In some embodiments, the material blocking detection method can be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 88. In some embodiments, part or all of the computer program can be loaded and / or installed on the sewage discharge device 80 via the ROM 82 and / or the communication unit 89. When the computer program is loaded into the RAM 83 and executed by the processor 81, one or more steps of the material blocking detection method described above can be performed. Alternatively, in other embodiments, the processor 81 can be configured to perform the material blocking detection method in any other suitable manner (e.g., by means of firmware).

[0130] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0131] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0132] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0133] To provide interaction with a user, the systems and techniques described herein may be implemented on a material blockage detection device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which a user can provide input to the material blockage detection device. Other types of devices may also be used to provide interaction with a user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0134] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0135] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0136] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0137] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A material blockage detection method, characterized in that: include: Obtain image information of materials during transportation inside the conveying equipment; Determine the area ratio of the material in the image information according to the image information; The material blocking state of the conveying equipment is determined according to the area ratio.

2. The material blockage detection method according to claim 1, characterized in that: Determining the area ratio of the material in the image information according to the image information includes: determining a first number of material pixels and a second number of non-material pixels based on the image information; The area ratio of the material is determined according to the first quantity and the second quantity.

3. The material blockage detection method according to claim 2, characterized in that: Determining a first number of material pixels and a second number of non-material pixels based on the image information includes: Binarizing the image information to obtain a binary image; Strengthening the boundary edges of pixels of different colors in the binary image by an edge detection algorithm to obtain an enhanced binary image with enhanced edges; The first number and the second number are determined according to the enhanced binary image.

4. The material blockage detection method according to claim 1, characterized in that: Before obtaining the image information of the material during the conveying process inside the conveying equipment, it also includes: Obtaining the real-time current of the motor in the conveying device; When the real-time current is greater than the current threshold, an operation of acquiring image information of the material during the conveying process inside the conveying device is performed.

5. The material blockage detection method according to claim 1, characterized in that: After determining the blocking state of the conveying equipment according to the area ratio, the method further includes: The conveying speed of the conveying device is controlled according to the material blocking state.

6. The material blockage detection method according to claim 5, characterized in that: Controlling the conveying speed of the conveying device according to the material blocking state includes: If the material blocking state is a non-blocking state, controlling the conveying speed of the conveying device to be a first speed; If the material blocking state is a material blocking warning state, controlling the conveying speed of the conveying device to be a second speed; the second speed is less than the first speed; If the material blocking state is the blocked state, the conveying speed of the conveying device is controlled to be a third speed, and the third speed is lower than the second speed.

7. The material blockage detection method according to claim 1, characterized in that: Determining the blocking state of the conveying equipment according to the area ratio includes: If the area ratio is less than or equal to a first threshold, determining that the material blocking state is a non-blocking state; If the area ratio is greater than the first threshold and less than or equal to the second threshold, the material blockage state is determined to be a material blockage warning state; and the second threshold is greater than the first threshold; If the area ratio is greater than the second threshold, it is determined that the blocking state is a blocked state.

8. The material blockage detection method according to claim 1, characterized in that: The material blocking detection method further comprises: A warning reminder is given according to the material blocking state.

9. A material blocking detection device, characterized in that: It includes an acquisition module, a calculation module and a blockage state determination module; The acquisition module is used to acquire image information of the material during the transportation process inside the conveying equipment; The calculation module is used to determine the area ratio of the material in the image information according to the image information; The material blocking state determining module is used to determine the material blocking state of the conveying equipment according to the area ratio.

10. A material blocking detection device, characterized in that: include: one or more processors; a storage device for storing one or more programs, When the one or more programs are executed by the one or more processors, the one or more processors implement the material blockage detection method according to any one of claims 1 to 8.

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