Discharging particle size monitoring method and discharging particle size control method

Abstract

The invention provides a discharging particle size monitoring method and a discharging particle size control method, and relates to the technical field of crushers, and the discharging particle size monitoring method comprises the following steps: obtaining an original image of aggregate; the original image is an image acquired by the image acquisition module for aggregate conveyed by the discharging belt at a preset frequency; based on the contours of the aggregate particles in the original image, obtaining particle size information corresponding to each aggregate particle and the particle number corresponding to each particle size information; and according to the particle size information corresponding to each aggregate particle and the particle number corresponding to each particle size information, obtaining particle size distribution information corresponding to the aggregate. According to the invention, the particle size distribution information of the aggregate can be monitored in real time in the crushing production of the aggregate by the crusher.

Description

Technical Field

[0001] The present application relates to the technical field of crushers, and in particular to a method for monitoring and controlling a discharge particle size. Background Art

[0002] During the process of crushing aggregates by the crusher, the staff is required to judge whether the aggregates meet the production requirements based on the particle size of the aggregates, and make real-time adjustments to the equipment parameters of the crusher, such as the size of the crusher's discharge port and the feeding frequency.

[0003] In the prior art, aggregate samples are generally taken manually on the discharging belt of the crusher, and the particle size of the aggregate is then manually detected; or the particle size of the aggregate on the discharging belt is monitored by naked eyes through surveillance cameras. The above methods not only require manual sampling and detection, but also make it difficult to achieve accurate manual detection results.

[0004] Therefore, a method for real-time monitoring of the particle size of aggregates during the crushing production of aggregates by a crusher needs to be studied urgently. Summary of the invention

[0005] The present application provides a method for monitoring the particle size of an output material and a method for controlling the particle size of an output material, wherein the method for monitoring the particle size of an output material can realize real-time monitoring of the particle size distribution information of an aggregate during the crushing production of the aggregate by a crusher.

[0006] In a first aspect, a method for monitoring the particle size of a discharging material is provided, which is applied to an aggregate particle size detection device, wherein the aggregate particle size detection device includes an image acquisition module located above a discharging belt of a crusher, and the method includes:

[0007] Acquire the original image of the aggregate; the original image is an image acquired by the image acquisition module at a preset frequency of the aggregate transported by the discharge belt;

[0008] Based on the contours of the aggregate particles in the original image, the particle size information corresponding to each aggregate particle and the number of particles corresponding to each particle size information are obtained;

[0009] The particle size distribution information corresponding to the aggregate is obtained according to the particle size information corresponding to each of the aggregate particles and the number of particles corresponding to each of the particle size information.

[0010] Optionally, based on the contours of the aggregate particles in the original image, obtaining the particle size information corresponding to each aggregate particle and the number of particles corresponding to each particle size information includes:

[0011] Perform clarity processing on the original image to obtain a clear image;

[0012] The aggregate particles in the clear image are extracted using morphological algorithms to obtain the aggregate area image;

[0013] The watershed algorithm is used to segment the contours of the aggregate particles in the aggregate region image, and the contours corresponding to each aggregate particle are determined;

[0014] Calculate the size of the aggregate particle outlines to obtain the particle size information corresponding to each aggregate particle;

[0015] The number of aggregate particles with the same particle size information is counted to obtain the number of particles corresponding to each particle size information.

[0016] Optionally, performing clarity processing on the original image to obtain a clear image includes:

[0017] The original image is processed by using a grayscale algorithm to obtain a grayscale image;

[0018] Processing the grayscale image using a filter function to obtain a filtered image;

[0019] The filtered image is binarized to obtain a clear image.

[0020] Optionally, the aggregate particle size detection device further includes a box, a partition and a partition cleaning device, the image acquisition module is installed on the box, the partition is located below the image acquisition module, and the partition cleaning device is used to remove dust at the bottom of the partition; before obtaining the original image of the aggregate, it also includes:

[0021] Before the image acquisition module completes the image acquisition of the aggregate, the partition cleaning device is controlled to clean the bottom of the partition.

[0022] In a second aspect, a method for controlling the particle size of a discharge material is provided, which is applied to a crusher, and the method comprises:

[0023] Based on the method in the first aspect or its implementations, the particle size distribution information corresponding to the aggregate in the historical time period is obtained to determine the trend information of the output particle size;

[0024] Based on the discharge particle size trend information, the size of the crusher's discharge port and the feeding frequency are adjusted to achieve control of the discharge particle size.

[0025] Optionally, based on the discharge particle size trend information, the size of the crusher's discharge port and the feeding frequency are adjusted to complete the discharge particle size control, including:

[0026] Determine the preset particle size distribution information according to the current size of the crusher's discharge port and the current feeding frequency, as well as the hardness and viscosity of the aggregate; the discharge particle size trend information includes the particle size distribution information corresponding to the aggregate in the future time period;

[0027] If the particle size distribution information corresponding to the aggregate in the future time period is greater than the preset particle size distribution information, then according to the particle size distribution information corresponding to the aggregate in the future time period and the preset particle size distribution information, the adjustment information corresponding to the discharge port of the crusher and the adjustment information corresponding to the feeding frequency of the crusher are determined;

[0028] According to the adjustment information corresponding to the discharge port of the crusher and the adjustment information corresponding to the feeding frequency of the crusher, the size of the discharge port and the feeding frequency of the crusher are adjusted.

[0029] In a third aspect, a device for monitoring the particle size of an aggregate is provided. The device for monitoring the particle size of an aggregate comprises an image acquisition module located above a discharging belt of a crusher. The device comprises:

[0030] An image acquisition module is used to acquire an original image of the aggregate; the original image is an image acquired by the image acquisition module at a preset frequency from the aggregate transported by the discharge belt;

[0031] A particle size information analysis module is used to obtain the particle size information corresponding to each aggregate particle and the number of particles corresponding to each particle size information based on the contours of the aggregate particles in the original image;

[0032] The particle size analysis module is used to obtain the particle size distribution information corresponding to the aggregate according to the particle size information corresponding to each of the aggregate particles and the number of particles corresponding to each of the particle size information.

[0033] In a fourth aspect, a device for controlling the particle size of a discharge material is provided, which is applied to a crusher, and the device comprises:

[0034] A discharge particle size trend information determination module, configured to obtain particle size distribution information corresponding to the aggregate based on the method in the first aspect or its various implementations, and determine the discharge particle size trend information; the discharge particle size trend information includes particle size distribution information corresponding to the aggregate in a future time period;

[0035] The discharge particle size control module is used to adjust the size of the crusher's discharge port and the feeding frequency based on the discharge particle size trend information to complete the discharge particle size control.

[0036] In a fifth aspect, a device for detecting aggregate particle size is provided, comprising:

[0037] A processor and a memory, the memory is used to store a computer program, and the processor is used to call and run the computer program stored in the memory to execute the method as described in the first aspect or its various implementations.

[0038] A sixth aspect provides a crusher, comprising:

[0039] A processor and a memory, the memory is used to store a computer program, and the processor is used to call and run the computer program stored in the memory to execute the method as described in the second aspect or its various implementations.

[0040] Through a discharge particle size monitoring method provided by the present application, the particle size of aggregates transported by a discharge belt can be detected in real time, and real-time statistics of the particle size distribution of aggregates after crushing by a crusher can be realized, so as to realize real-time monitoring of the particle size distribution information of aggregates during the crushing production of aggregates by the crusher; and through the contours of the aggregate particles in the original image, the particle size information corresponding to each aggregate particle is determined, which can reduce the mutual influence between adjacent aggregate particles, so that the calculated particle size of each aggregate particle is more accurate, so as to improve the accuracy of the analysis of the particle size distribution information of the aggregates. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0042] Figure 1 An application scenario diagram of an embodiment provided for the embodiment of the present application;

[0043] Figure 2 A flow chart of a method for monitoring the particle size of a discharge material according to an embodiment of the present application;

[0044] Figure 3 A schematic diagram of the structure of an aggregate particle size detection device according to an embodiment of the present application;

[0045] Figure 4 A flow chart of a method for controlling the particle size of a discharge material according to an embodiment of the present application;

[0046] Figure 5 A schematic diagram of a discharge particle size monitoring device according to an embodiment of the present application;

[0047] Figure 6 A schematic diagram of a device for controlling the particle size of a discharge material according to an embodiment of the present application;

[0048] Figure 7 It is a schematic block diagram of an aggregate particle size detection device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0049] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0050] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application 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 interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or server that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0051] As mentioned above, in the prior art, during the process of aggregate processing by a crusher, the accuracy of the aggregate particle size has a great influence on the control of the crusher's processing process and the quality of the finished aggregate product. The judgment of the aggregate particle size is generally carried out by sampling and screening on the processed aggregate pile, and the intermediate aggregate in the crusher production process also needs to be sampled manually on the discharging belt, or the change and distribution of the aggregate particle size is judged by the naked eye in the monitoring camera. Since the above method not only requires manual extraction and detection, which is time-consuming and laborious, but also it is difficult to achieve accurate manual detection results, therefore, in the crushing production of aggregate by a crusher, if it is necessary to monitor the change of aggregate particle size during the crushing process, and adjust the equipment parameters of the crusher in real time according to the monitoring results, it is extremely troublesome.

[0052] It should be understood that the technical solution of the present application can be applied to the following scenarios, but is not limited to:

[0053] In some possible implementations, Figure 1 An application scenario diagram provided for an embodiment of the present application, such as Figure 1 As shown, the application scenario may include an aggregate particle size detection device 110 and a crusher 120. The aggregate particle size detection device 110 may establish a connection with the crusher 120 via a wired network or a wireless network.

[0054] In one embodiment of the present application, the aggregate particle size detection device 110 can send a request message to the crusher 120, and the request message can be used to obtain the original image of the aggregate. Further, the aggregate particle size detection device 110 can receive a response message sent by the crusher 120, and the response message includes obtaining the original image of the aggregate.

[0055] also, Figure 1 An aggregate particle size detection device 110 and a crusher 120 are exemplarily provided, but other numbers of aggregate particle size detection devices and crushers may actually be included, and the present application does not impose any limitation thereto.

[0056] In some other possible implementations, the technical solution of the present application may also be implemented by the above-mentioned discharge particle size control device 110, or, the technical solution of the present application may also be implemented by the above-mentioned crusher 120, and the present application does not impose any limitation on this.

[0057] After introducing the application scenarios of the embodiments of the present application, the technical solution of the present application will be described in detail below:

[0058] Figure 2 A flow chart of a method for monitoring the particle size of a discharge material provided in an embodiment of the present application, the method can be performed as follows Figure 1 The aggregate particle size detection device 110 shown in the figure is executed, and the aggregate particle size detection device 110 includes an image acquisition module located above the discharging belt of the crusher, but is not limited thereto. Figure 2 As shown, the method may include the following steps:

[0059] S210, obtaining an original image of the aggregate; the original image is an image captured by the image acquisition module at a preset frequency on the aggregate transported by the discharge belt.

[0060] Here, the image acquisition module can be an industrial high-magnification 4K camera; by acquiring images of the aggregates transported by the discharge belt through the image acquisition module located above the discharge belt, real-time photographic sampling and monitoring of the aggregates crushed by the crusher can be achieved, greatly improving the efficiency of the analysis of aggregate particle size.

[0061] S220 , based on the contours of the aggregate particles in the original image, obtain the particle size information corresponding to each aggregate particle and the number of particles corresponding to each particle size information.

[0062] The particle size information may be the size of the particle size.

[0063] Since each aggregate particle has its own corresponding contour in the original image, when subsequently calculating the particle size information corresponding to each aggregate particle, the particle size information corresponding to each aggregate particle can be determined through the contour corresponding to each aggregate particle.

[0064] S230, obtaining particle size distribution information corresponding to the aggregate according to the particle size information corresponding to each aggregate particle and the number of particles corresponding to each particle size information.

[0065] The particle size distribution information corresponding to the aggregate may be the proportion of the aggregate in each particle size range.

[0066] Here, the aggregate particle size information can be compared with a preset particle size range threshold, the aggregate particle size information can be divided into corresponding particle size ranges, and the proportion of aggregate in each particle size range can be calculated to determine the aggregate particle size distribution information.

[0067] For example, the particle size range can be set to three categories, where the first category has a particle size range threshold of 5-10 mm, the second category has a particle size range threshold of 10-20 mm, and the third category has a particle size range threshold of 20-31.5 mm. Assuming that the particle size information of 20 aggregates is counted, of which 5 aggregates have a particle size information within the range of 5-10 mm, 10 aggregates have a particle size information within the range of 10-20 mm, and 5 aggregates have a particle size information within the range of 20-31.5 mm, it can be obtained that the aggregates of the first category have a particle size of 25%, the aggregates of the second category have a particle size of 50%, and the aggregates of the third category have a particle size of 25%.

[0068] By adopting the above method, the particle size of the aggregate transported by the discharging belt can be detected in real time, and the real-time statistics of the particle size distribution of the aggregate after being crushed by the crusher can be realized, and the particle size distribution information of the aggregate can be monitored in real time during the crushing production of the aggregate by the crusher; and the particle size information corresponding to each aggregate particle can be determined through the outline of the aggregate particles in the original image, which can reduce the mutual influence between adjacent aggregate particles, so that the calculated particle size of each aggregate particle is more accurate, so as to improve the accuracy of the analysis of the particle size distribution information of the aggregate.

[0069] In some possible embodiments, based on the contours of the aggregate particles in the original image, obtaining the particle size information corresponding to each aggregate particle and the number of particles corresponding to each particle size information may include the following steps:

[0070] S310: Perform clarity processing on the original image to obtain a clear image.

[0071] The original image is processed to obtain a clear image corresponding to the aggregate on the discharge belt in the transportation state, so as to facilitate the subsequent step of extracting the aggregate area image in the image.

[0072] S320, extracting aggregate particles from the clear image using a morphological algorithm to obtain an aggregate region image.

[0073] Here, the morphological algorithm may refer to a pre-set algorithm for identifying a clear image, which may be a combination of an OTSU algorithm and a morphological algorithm. In order to propose invalid background and features unrelated to aggregate particles, threshold segmentation may be achieved through the OTSU algorithm, and the regional image containing aggregate particles in the clear image may be extracted through the morphological algorithm to obtain an aggregate regional image; wherein the aggregate regional image may be understood as a regional image located at the edge lines of multiple aggregate particles in the clear image.

[0074] S330, using a watershed algorithm to segment the contours of the aggregate particles in the aggregate region image, and determining the contours corresponding to each aggregate particle.

[0075] Here, the watershed algorithm is used to perform contour segmentation on the aggregate particles in the aggregate area image to determine the contours corresponding to each aggregate particle, which may include: performing connected area analysis on the aggregate area image, numbering different connected areas, removing the background area portion in the connected area, and then using the watershed algorithm to mark the pixel points of all contours in the connected area to obtain the contours corresponding to each aggregate particle in the aggregate area image, so as to reduce the mutual influence between adjacent aggregates, so that the calculated particle size of each aggregate is more accurate, thereby improving the accuracy of the subsequent output statistical information characterizing the distribution of multiple sample aggregates in different particle size ranges.

[0076] S340, calculating the size of the aggregate particle profiles to obtain particle size information corresponding to each aggregate particle.

[0077] It should be noted that in the aggregate region image, the center coordinates of the contour of each aggregate particle are determined, and then the particle size information of each aggregate particle can be determined based on the distance between the center coordinates corresponding to the contour of each aggregate particle and the edge of the contour corresponding thereto.

[0078] S350, counting the number of aggregate particles having the same particle size information to obtain the number of particles corresponding to each particle size information.

[0079] Since the particle size information corresponding to each aggregate particle is obtained in step S340, the number of particles corresponding to each particle size information can be obtained by counting the number of aggregate particles having the same particle size information.

[0080] By adopting the above method, the contours of the aggregate particles in the original image can be accurately segmented, so that the particle size information determined based on the segmented contours of the aggregate particles is more accurate, so that the particle size distribution information obtained based on the particle size information corresponding to each aggregate particle and the number of particles corresponding to each particle size information is more accurate.

[0081] Furthermore, the original image is processed for clarity to obtain a clear image, which may include the following steps:

[0082] S410, processing the original image using a grayscale algorithm to obtain a grayscale image;

[0083] S420, using a filter function to process the grayscale image to obtain a filtered image;

[0084] S430, binarizing the filtered image to obtain a clear image.

[0085] The original image is processed by using a grayscale algorithm to convert the color original image into a grayscale image, and then the grayscale image is processed by a filtering function. Here, the filtering functions include mean filtering, Gaussian filtering, median filtering and bilateral filtering to obtain a clearer filtered image after filtering. Finally, the OTSU algorithm (maximum between-class variance method) is used for binarization. At this time, the black and white boundary contours of the filtered image are more prominent, that is, a clear image is obtained, so that the aggregate particles in the image can be clearly displayed, which is convenient for extracting the aggregate area image in the image.

[0086] In some possible implementations, see Figure 3 The aggregate particle size detection device also includes a box body 1, a partition 2 and a partition cleaning device 3. The image acquisition module 4 is installed on the box body 1. The partition 2 is located below the image acquisition module 4. The partition cleaning device 3 is used to remove dust at the bottom of the partition 2.

[0087] Here, a servo motor 5 and an LED light source lamp 6 are provided in the box body 1. The servo motor 5 is used to drive the partition cleaning device 3 to clean the dust at the bottom of the partition 2. The LED light source lamp 6 is used to provide a good photographing environment light for the image acquisition module 4. Among them, the partition 2 can be made of transparent glass.

[0088] An inspection port 7 and a feed port 8 are provided on the box body 1. The feed port 8 is provided with a leather curtain 9. When the aggregate particle size detection device monitors the particle size of the aggregate crushed by the crusher 10, the box body 1 is placed above the discharge belt 11, and the aggregate on the discharge belt 11 passes through the feed port 8. The leather curtain 9 is used to prevent the aggregate from passing through the feed port 8 from being too high and to prevent dust from entering the box body 1.

[0089] Accordingly, before acquiring the original image of the aggregate, the method may further include: before the image acquisition module completes image acquisition of the aggregate, controlling the partition cleaning device to clean the bottom of the partition.

[0090] By controlling the partition cleaning device to clean the bottom of the partition before the image acquisition module completes the image acquisition of the aggregate, the dust attached to the surface of the partition can be cleaned to maintain the cleanliness of the partition, thereby greatly reducing the error caused by dust in the analysis of the particle size information of the aggregate particles.

[0091] In addition, before the image acquisition module completes image acquisition of the aggregate, it can also include: controlling the image acquisition module to acquire images of the aggregate sample to obtain a sample image, comparing the sample image with a historical image corresponding to the aggregate sample, and correcting the position and / or shooting parameters of the image acquisition module based on the comparison result, so that the similarity between the sample image acquired by the corrected image acquisition module and the historical image is within a preset range.

[0092] Figure 4 A flow chart of a discharge particle size control provided in an embodiment of the present application, the method can be as follows Figure 1 The crusher 120 shown is implemented, but not limited to this. Figure 4 As shown, the method may include the following steps:

[0093] S510, based on the above method, the particle size distribution information corresponding to the aggregate in the historical time period is obtained, and the trend information of the particle size of the discharged material is determined; the trend information of the particle size of the discharged material includes the particle size distribution information corresponding to the aggregate in the future time period.

[0094] Here, the crusher may be a single-cylinder cone crusher.

[0095] Before obtaining the particle size distribution information corresponding to the aggregate in the historical time period, the method further includes: the aggregate particle size detection device stores the particle size distribution information and the original image acquisition time corresponding to the particle size distribution information in a server connected to the mainframe of the crusher, and feeds back to the host computer connected to the server through an interface, so that the host computer determines the particle size distribution information corresponding to the aggregate in the historical time period through the particle size distribution information and the original image acquisition time corresponding to the particle size distribution information. The historical time period is the time period between the time point when the image acquisition module last acquired the original image of the aggregate and the time point when the current image acquisition module acquires the original image of the aggregate.

[0096] It should be noted that the output particle size trend information may be the change curve information of the particle size distribution corresponding to the aggregate in the future time period, wherein the future time period is the time period between the time point when the current image acquisition module acquires the original image of the aggregate and the time point when the next image acquisition module acquires the original image of the aggregate.

[0097] S520: Based on the discharge particle size trend information, the size of the crusher's discharge port and the feeding frequency are adjusted to achieve control of the discharge particle size.

[0098] Here, the discharge particle size trend information can be calculated through a regression algorithm to obtain the predicted value of the crusher's discharge port and the predicted value of the feeding frequency in the future time period, so that the size of the crusher's discharge port and the feeding frequency can be adjusted respectively based on the predicted value of the discharge port and the predicted value of the feeding frequency; the discharge particle size trend information can also be input into a trained trend prediction model to obtain the predicted value of the crusher's discharge port and the predicted value of the feeding frequency in the future time period; wherein the trend prediction model is trained according to the discharge particle size trend information, the size of the discharge port and the feeding frequency.

[0099] Among them, the host computer can adjust the size of the crusher's discharge port and the feeding frequency through the PLC controller connected to it.

[0100] By adopting the above method, the particle size distribution information corresponding to the aggregate in the historical time period can be used to predict the trend information of the discharge particle size, and then the particle size trend information can be used to predict and adjust the size of the crusher's discharge port and the feeding frequency, thereby effectively improving the operating stability of the crusher under the intelligent control of the production line.

[0101] In some possible embodiments, based on the discharge particle size trend information, the size of the discharge port and the feeding frequency of the crusher are adjusted to control the discharge particle size, including:

[0102] S610: Determine preset particle size distribution information according to the current size of the crusher's discharge port and the current feeding frequency, as well as the hardness and viscosity of the aggregate.

[0103] Because the production line configuration of the crusher, that is, the current size of the discharge port and the current feeding frequency, can affect the particle size of the aggregate particles, and the hardness and viscosity of the aggregate itself also affect the particle size of the particles after being crushed by the crusher, so here according to the current size of the discharge port of the crusher and the current feeding frequency, as well as the hardness and viscosity of the aggregate, the preset particle size distribution information of the aggregate particles crushed by the crusher can be determined relatively accurately.

[0104] It should be noted that the preset particle size distribution information is the preset proportion of aggregates in the preset particle size range; for example, the preset particle size distribution information is that the preset proportion of aggregates in the preset particle size range of 20-31.5 mm is 70-85%.

[0105] S620. If the particle size distribution information corresponding to the aggregate in the future time period is greater than the preset particle size distribution information, the adjustment information corresponding to the discharge port of the crusher and the adjustment information corresponding to the feeding frequency of the crusher are determined according to the particle size distribution information corresponding to the aggregate in the future time period and the preset particle size distribution information.

[0106] Here, if the particle size distribution information corresponding to the aggregate in the future time period is greater than the preset particle size distribution information, it can be considered that the large-size aggregate is increasing, which in turn proves that the size of the crusher's discharge port is gradually increasing, and / or the feeding frequency is gradually increasing. Therefore, it is necessary to adjust the size of the crusher's discharge port and the feeding frequency. For example, the preset particle size distribution information is that the preset proportion of aggregates with a preset particle size range of 20-31.5 mm is 70-85%, and the particle size distribution information corresponding to the aggregate in the future time period is that the preset proportion of aggregates with a preset particle size range of 31-40 mm is 70-85%, which proves that the size of the crusher's discharge port is gradually increasing, and / or the feeding frequency is gradually increasing.

[0107] It should be noted that here, a regression algorithm is used to determine the adjustment information corresponding to the discharge port and the adjustment information corresponding to the feeding frequency according to the particle size distribution information corresponding to the aggregate in the future time period and the preset particle size distribution information.

[0108] S630: Adjust the size of the discharge port and the feeding frequency of the crusher according to the adjustment information corresponding to the discharge port of the crusher and the adjustment information corresponding to the feeding frequency of the crusher.

[0109] Here, according to the adjustment information corresponding to the discharge port of the crusher and the adjustment information corresponding to the feeding frequency of the crusher, the size of the discharge port and the feeding frequency of the crusher are adjusted, so that the particle size distribution information of the aggregate crushed by the crusher can be adjusted to the preset particle size distribution information, thereby ensuring that the particle size of the aggregate crushed by the crusher is uniform.

[0110] By adopting the above method, it is possible to analyze the adjustment information of the crusher's discharge port size and the feeding frequency adjustment information that need to be adjusted in the future time period, and then based on the analyzed adjustment information corresponding to the discharge port and the adjustment information corresponding to the feeding frequency of the crusher, the size of the crusher's discharge port and the feeding frequency are adjusted, so that the particle size distribution information of the aggregate after crushing by the crusher can be adjusted to the preset particle size distribution information, thereby ensuring that the particle size of the aggregate after crushing by the crusher is uniform.

[0111] Figure 5 is a schematic diagram of a discharge particle size monitoring device 700 according to an embodiment of the present invention, such as Figure 5 As shown, the device 700 is applied to an aggregate particle size detection device, and the aggregate particle size detection device includes an image acquisition module located above a discharging belt of a crusher. The device 700 includes:

[0112] The image acquisition module 710 is used to acquire the original image of the aggregate; the original image is an image acquired by the image acquisition module at a preset frequency from the aggregate transported by the discharge belt;

[0113] The particle size information analysis module 720 is used to obtain the particle size information corresponding to each aggregate particle and the number of particles corresponding to each particle size information based on the contours of the aggregate particles in the original image;

[0114] The particle size analysis module 730 is used to obtain the particle size distribution information corresponding to the aggregate according to the particle size information corresponding to each of the aggregate particles and the number of particles corresponding to each of the particle size information.

[0115] In some possible embodiments, the particle size information analysis module 730 includes:

[0116] A clarity processing unit, used for performing clarity processing on the original image to obtain a clear image;

[0117] An extraction unit, used for extracting aggregate particles in the clear image using a morphological algorithm to obtain an aggregate region image;

[0118] A contour determination unit is used to segment the contours of the aggregate particles in the aggregate region image using a watershed algorithm to determine the contours corresponding to each aggregate particle;

[0119] A size calculation unit is used to calculate the size of the aggregate particle profile to obtain the particle size information corresponding to each aggregate particle;

[0120] The number counting unit is used to count the number of aggregate particles with the same particle size information to obtain the number of particles corresponding to each particle size information.

[0121] In some possible embodiments, the definition processing unit includes:

[0122] A grayscale processing subunit is used to process the original image using a grayscale algorithm to obtain a grayscale image;

[0123] An image filtering unit, used for processing the grayscale image using a filtering function to obtain a filtered image;

[0124] The binarization unit is used to perform binarization processing on the filtered image to obtain a clear image.

[0125] In some possible embodiments, the aggregate particle size detection device further includes a box, a partition and a partition cleaning device, the image acquisition module is installed on the box, the partition is located below the image acquisition module, and the partition cleaning device is used to remove dust at the bottom of the partition; the device 700 also includes:

[0126] The dust cleaning control module is used to control the partition cleaning device to clean the bottom of the partition before the image acquisition module completes the image acquisition of the aggregate.

[0127] It should be understood that the device embodiment and the discharge particle size monitoring method embodiment may correspond to each other, and similar descriptions may refer to the discharge particle size monitoring method embodiment. To avoid repetition, no further description is given here. Specifically, Figure 5 The device 700 shown can execute the above-mentioned embodiment of the discharge particle size monitoring method, and the aforementioned and other operations and / or functions of each module in the device 700 are respectively for realizing the corresponding processes in the above-mentioned discharge particle size monitoring method, which will not be repeated here for the sake of brevity.

[0128] Figure 6 is a schematic diagram of a discharge particle size control device 800 according to an embodiment of the present invention, such as Figure 6 As shown, the device 800 is applied to a crusher, and the device 800 comprises:

[0129] The discharge particle size trend information determination module 810 is used to obtain the particle size distribution information corresponding to the aggregate in the historical time period based on the above method, and determine the discharge particle size trend information; the discharge particle size trend information includes the particle size distribution information corresponding to the aggregate in the future time period;

[0130] The discharge particle size control module 820 is used to adjust the size of the discharge port and the feeding frequency of the crusher based on the discharge particle size trend information to achieve the control of the discharge particle size.

[0131] In some possible embodiments, the discharge particle size control module 820 includes:

[0132] A preset particle size distribution information determination unit, used to determine the preset particle size distribution information according to the current size of the crusher's discharge port and the current feeding frequency, as well as the hardness and viscosity of the aggregate;

[0133] an adjustment information determining unit, for determining adjustment information corresponding to a discharge port of a crusher and adjustment information corresponding to a feeding frequency of the crusher according to the particle size distribution information corresponding to the aggregate in the future time period and the preset particle size distribution information if the particle size distribution information corresponding to the aggregate in the future time period is greater than the preset particle size distribution information;

[0134] The adjustment unit is used to adjust the size of the crusher's discharge port and the feeding frequency according to the adjustment information corresponding to the crusher's discharge port and the adjustment information corresponding to the crusher's feeding frequency.

[0135] It should be understood that the device embodiment and the discharge particle size control method embodiment may correspond to each other, and similar descriptions may refer to the discharge particle size control method embodiment. To avoid repetition, no further description is given here. Specifically, Figure 6The device 800 shown can execute the above-mentioned embodiment of the discharge particle size control method, and the above-mentioned and other operations and / or functions of each module in the device 800 are respectively for realizing the corresponding processes in the above-mentioned discharge particle size control method, which will not be repeated here for the sake of brevity.

[0136] The above describes the apparatus 700 and 800 of the embodiment of the present invention from the perspective of functional modules in conjunction with the accompanying drawings. It should be understood that the functional module can be implemented in hardware form, can be implemented by instructions in software form, or can be implemented by a combination of hardware and software modules. Specifically, the steps of the method embodiment in the embodiment of the present invention can be completed by the hardware integrated logic circuit and / or software instructions in the processor, and the steps of the method disclosed in the embodiment of the present invention can be directly embodied as a hardware decoding processor to execute, or can be executed by a combination of hardware and software modules in the decoding processor. Optionally, the software module can be located in a mature storage medium in the field such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory, and the processor reads the information in the memory and completes the steps in the above method embodiment in conjunction with its hardware.

[0137] Figure 7 It is a schematic block diagram of an aggregate particle size detection device 110 according to an embodiment of the present invention.

[0138] like Figure 7 As shown, the aggregate particle size detection device 110 may include:

[0139] The memory 1101 and the processor 1102, the memory 1101 is used to store the computer program and transmit the program code to the processor 1102. In other words, the processor 1102 can call and run the computer program from the memory 1101 to implement the method in the embodiment of the present invention.

[0140] For example, the processor 1102 may be configured to execute the above method embodiments according to instructions in the computer program.

[0141] In some embodiments of the present invention, the aggregate particle size detection device 110 may include but is not limited to:

[0142] General-purpose processor, digital signal processor (DSP), application-specific integrated circuit (ASIC), field programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, etc.

[0143] In some embodiments of the present invention, the memory 1101 includes but is not limited to:

[0144] Volatile memory and / or non-volatile memory. Among them, the non-volatile memory can be read-only memory (ROM), programmable ROM (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM) or flash memory. The volatile memory can be random access memory (RAM), which is used as an external cache. By way of example and not limitation, many forms of RAM are available, such as static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link DRAM (SLDRAM) and direct memory bus random access memory (Direct Rambus RAM, DR RAM).

[0145] In some embodiments of the present invention, the computer program may be divided into one or more modules, which are stored in the memory 1101 and executed by the processor 1102 to complete the method provided by the present invention. The one or more modules may be a series of computer program instruction segments capable of completing specific functions, and the instruction segments are used to describe the execution process of the computer program in the controller.

[0146] like Figure 7 As shown, the aggregate particle size detection device 110 may also include:

[0147] The transceiver 1103 may be connected to the processor 1102 or the memory 1101 .

[0148] The processor 1102 may control the transceiver 1103 to communicate with other devices, specifically, to send information or data to other devices, or to receive information or data sent by other devices. The transceiver 1103 may include a transmitter and a receiver. The transceiver 1103 may further include an antenna, and the number of antennas may be one or more.

[0149] It should be understood that the various components in the aggregate particle size detection device are connected via a bus system, wherein the bus system includes not only a data bus but also a power bus, a control bus and a status signal bus.

[0150] The present invention also provides a computer storage medium having a computer program stored thereon, which, when executed by a computer, enables the computer to perform the method of the above method embodiment. In other words, an embodiment of the present invention also provides a computer program product containing instructions, which, when executed by a computer, enables the computer to perform the method of the above method embodiment.

[0151] When software is used for implementation, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function according to the embodiment of the present invention is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from a website site, a computer, a server or a data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (Digital Subscriber Line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or a data center that includes one or more available media integration. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a digital video disc (Digital Video Disc, DVD)), or a semiconductor medium (e.g., a solid-state drive (Solid State Disk, SSD)), etc.

[0152] Those skilled in the art will appreciate that the modules and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0153] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the module is only a logical function division. There may be other division methods in actual implementation, such as multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or modules, which can be electrical, mechanical or other forms.

[0154] The modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. For example, each functional module in each embodiment of the present application may be integrated into a processing module, or each module may exist physically separately, or two or more modules may be integrated into one module.

[0155] The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art who is familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in this application, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A method for monitoring the particle size of a discharging material, applied to an aggregate particle size detection device, wherein the aggregate particle size detection device comprises an image acquisition module located above a discharging belt of a crusher, characterized in that: The method comprises: Acquire an original image of the aggregate; the original image is an image acquired by the image acquisition module at a preset frequency of the aggregate transported by the discharge belt; Based on the contours of the aggregate particles in the original image, obtaining the particle size information corresponding to each of the aggregate particles and the number of particles corresponding to each of the particle size information; The particle size distribution information corresponding to the aggregate is obtained according to the particle size information corresponding to each of the aggregate particles and the number of particles corresponding to each of the particle size information.

2. The method according to claim 1, characterized in that: The step of obtaining the particle size information corresponding to each of the aggregate particles and the number of particles corresponding to each of the particle size information based on the contours of each aggregate particle in the original image includes: Performing clarity processing on the original image to obtain a clear image; Extracting aggregate particles from the clear image using a morphological algorithm to obtain an aggregate region image; Using a watershed algorithm to segment the contours of the aggregate particles in the aggregate region image, and determining the contours corresponding to each of the aggregate particles; Calculating the size of the outlines of the aggregate particles to obtain particle size information corresponding to each of the aggregate particles; The number of aggregate particles having the same particle size information is counted to obtain the number of particles corresponding to each particle size information.

3. The method according to claim 2, characterized in that The process of performing definition processing on the original image to obtain a clear image includes: Processing the original image using a grayscale algorithm to obtain a grayscale image; Processing the grayscale image using a filter function to obtain a filtered image; The filtered image is binarized to obtain a clear image.

4. The method according to claim 1, characterized in that The aggregate particle size detection device further comprises a box, a partition and a partition cleaning device, the image acquisition module is mounted on the box, the partition is located below the image acquisition module, and the partition cleaning device is used to remove dust at the bottom of the partition; Before obtaining the original image of the aggregate, the method further includes: Before the image acquisition module completes image acquisition of the aggregate, the partition cleaning device is controlled to clean the bottom of the partition.

5. A method for controlling the particle size of discharged material, applied to a crusher, characterized in that: The method comprises: Based on any one of the methods of claims 1 to 4, the particle size distribution information corresponding to the aggregate in the historical time period is obtained to determine the particle size trend information of the discharged material; the particle size trend information of the discharged material includes the particle size distribution information corresponding to the aggregate in the future time period; Based on the discharge particle size trend information, the size of the discharge port and the feeding frequency of the crusher are adjusted to complete the control of the discharge particle size.

6. The method according to claim 5, characterized in that The method of adjusting the size of the discharge port and the feeding frequency of the crusher based on the discharge particle size trend information to complete the control of the discharge particle size includes: Determining preset particle size distribution information according to the current size of the discharge port of the crusher and the current feeding frequency, as well as the hardness and viscosity of the aggregate; If the particle size distribution information corresponding to the aggregate in the future time period is greater than the preset particle size distribution information, then according to the particle size distribution information corresponding to the aggregate in the future time period and the preset particle size distribution information, determining the adjustment information corresponding to the discharge port of the crusher and the adjustment information corresponding to the feeding frequency of the crusher; According to the adjustment information corresponding to the discharge port of the crusher and the adjustment information corresponding to the feeding frequency of the crusher, the size of the discharge port and the feeding frequency of the crusher are adjusted.

7. A discharge particle size monitoring device, applied to an aggregate particle size detection device, the aggregate particle size detection device comprising an image acquisition module located above a discharge belt of a crusher, characterized in that: The device comprises: An image acquisition module, used to acquire an original image of the aggregate; the original image is an image acquired by the image acquisition module at a preset frequency from the aggregate transported by the discharge belt; A particle size information analysis module, used to obtain particle size information corresponding to each of the aggregate particles and the number of particles corresponding to each of the particle size information based on the contours of the aggregate particles in the original image; The particle size analysis module is used to obtain the particle size distribution information corresponding to the aggregate according to the particle size information corresponding to each of the aggregate particles and the number of particles corresponding to each of the particle size information.

8. A device for controlling the particle size of discharged material, applied to a crusher, characterized in that: The device comprises: A discharge particle size trend information determination module, used to obtain the particle size distribution information corresponding to the aggregate in a historical time period based on any one of the methods of claims 1-4, and determine the discharge particle size trend information; the discharge particle size trend information includes the particle size distribution information corresponding to the aggregate in a future time period; The discharge particle size control module is used to adjust the size of the discharge port and the feeding frequency of the crusher based on the discharge particle size trend information to complete the control of the discharge particle size.

9. An aggregate particle size detection device, characterized in that: include: A processor and a memory, the memory being used to store a computer program, and the processor being used to call and run the computer program stored in the memory to execute the method according to any one of claims 1 to 4.

10. A crusher, characterized in that: include: A processor and a memory, the memory being used to store a computer program, and the processor being used to call and run the computer program stored in the memory to execute the method described in claim 5 or 6.

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