Method and device for processing adhered objects on belt conveyor and electronic equipment
Through the periodic judgment of the X-ray recognition system and the target time interval, the problem of low recognition accuracy of adhesion particles on the belt conveyor belt in traditional intelligent dry selection machines is solved, and higher recognition accuracy and more accurate adhesion positioning is achieved.
Patent Information
- Application Number
- CN202510113879.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-24
- Publication Date
- 2025-03-04
- Estimated Expiration
- 2045-01-24
AI Technical Summary
The particle recognition accuracy of the belt conveyors in traditional intelligent drying machine is low, and it is impossible to accurately identify adherents.
The X-ray image information on the belt conveyor is obtained through the X-ray recognition system, and it is determined whether the particle size size of the particles is less than the preset lower feeding particle size threshold, and the initial adhesive is determined. Based on the total belt length, belt speed and belt speed fluctuations, the target time interval of the initial adhesive enters the X-ray recognition system next time, and a second judgment is made to confirm the final adhesive.
The identification accuracy of adhesion particles on the belt conveyor belt is improved, the problem of low identification accuracy of adhesions is solved, and more accurate identification is achieved through periodic judgment of the target time interval.
Smart Images

Figure CN119559028A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of identification technology, and in particular to a method, device, and electronic equipment for processing objects adhered to a belt conveyor. Background Art
[0002] Traditional intelligent dry sorting machines identify objects and locate their positions through material absorption, and cannot directly identify adhesions like traditional images. When some ore with mud enters the intelligent dry sorting machine, the mud will adhere to the belt conveyor together with small particles. These small particles are difficult to accurately identify, resulting in low accuracy in the current identification of adhesions adhered to the belt conveyor belt in the intelligent dry sorting machine. Summary of the Invention
[0003] The object of the present invention is to provide a method, device and electronic equipment for processing particles adhered to a belt conveyor, so as to solve the technical problem of low accuracy in identifying particles adhered to the belt of the belt conveyor.
[0004] In a first aspect, the present application provides a method for treating adhesions on a belt conveyor, the method comprising: Acquiring X-ray image information on the belt conveyor during the sorting process through an X-ray recognition system, and determining the particle size of each particle on the belt conveyor based on the X-ray image information; Determining whether the particle size is smaller than a preset lower limit particle size threshold; If the particle size is smaller than the preset lower limit particle size threshold of the feed, determining the first particle smaller than the preset lower limit particle size threshold of the feed as an initial adhesion; determining a target time interval for the next entry of the initially adhered object into the X-ray recognition system based on the total length, belt speed, and belt speed fluctuation of the belt conveyor; within the target time interval, determining again whether there is a second particle similar to the initial adhesion at a corresponding position of the initial adhesion on the belt; If there is a second particle similar to the initial adhesion, the second particle is determined as the final adhesion, and information of the final adhesion is sent to the data processing end; wherein the information of the final adhesion includes the corresponding position of the final adhesion on the belt.
[0005] In one possible implementation, determining the target time interval for the initial adhesion to enter the X-ray recognition system next time based on the total belt length, belt speed, and belt speed fluctuation of the belt conveyor includes: Based on the total belt length, belt speed, and belt speed fluctuation of the belt conveyor, the target time interval for the initial adhesion to enter the X-ray recognition system next time is determined by the following formula: [t1*k1,t2*k2], t1=L / (v0+Δv), t2=L / (v0-Δv); Wherein, L is the total length of the belt, v0 is the belt speed, Δv is the belt speed fluctuation, [t1*k1, t2*k2] is the target time interval, k1 and k2 are preset adjustment coefficients, and the preset adjustment coefficients are used to expand the cleaning range, k1 is less than 1 and k2 is greater than 1.
[0006] In a possible implementation, before acquiring X-ray image information on the belt conveyor during the sorting process through the X-ray recognition system, the method further includes: Correcting the belt on the belt conveyor and obtaining the strength fluctuation ranges at different points of the belt after correction; Parameters are adjusted according to the intensity fluctuation ranges at different points to identify particles smaller than a preset minimum particle size.
[0007] In a possible implementation, after determining the target time interval for the initial adhesion to enter the X-ray recognition system next time, the method further includes: Determining the target recognition process entering the target time interval as the first round of judgment process; If a third particle identical to the initial adhesion is detected before the initial adhesion enters the time period corresponding to the first round of judgment process, the third particle is determined to be a contamination particle on the identification light path, and it is determined that the contamination particle is to be cleared, and an alarm for light path contamination is issued.
[0008] In a possible implementation, after determining the target identification process entering the target time interval as the first round of judgment process, the method further includes: If non-similar particles that are dissimilar to the initial adhesions exist at the corresponding position of the initial adhesions on the belt within the time period corresponding to the first round of judgment process, it is determined to wait for a second round of judgment process after the first round of judgment process, and a judgment round for each initial adhesion is set.
[0009] In a possible implementation, after sending the information of the final adhesion to the data processing end, the method further includes: mobilizing a cleaning device to a corresponding position of the final adhered object on the belt through the data processing terminal; The final adhesions are cleared away by the cleaning device based on a preset blowing time.
[0010] In one possible implementation, the cleaning equipment includes a rubber scraper, a brush, and an intelligent cleaning device; The intelligent cleaning device is equipped with a blowing unit and multiple fixed cleaning units. The fixed cleaning units are used to regularly open the corresponding blowing units according to the particle position and movement time; alternatively, the intelligent cleaning device uses a slide rail sliding adjustment method to control a single cleaning unit to perform cleaning at a fixed position.
[0011] In a second aspect, the present application provides a device for processing adhesions on a belt conveyor, comprising: an acquisition module, configured to acquire X-ray image information on the belt conveyor during the sorting process through an X-ray recognition system, and determine the particle size of each particle on the belt conveyor based on the X-ray image information; The first judgment module is used to judge whether the particle size is smaller than a preset lower limit particle size threshold of the feed; a first determining module, configured to determine a first particle smaller than the preset feed lower limit particle size threshold as an initial adhesion if the particle size is smaller than the preset feed lower limit particle size threshold; a second determining module, configured to determine a target time interval for the next entry of the initially adhered object into the X-ray recognition system based on the total length, belt speed, and belt speed fluctuation of the belt conveyor; a second determining module, configured to determine again within the target time interval whether there is a second particle similar to the initial adhesion at a corresponding position of the initial adhesion on the belt; The sending module is configured to determine a second particle similar to the initial adhesion object as a final adhesion object if the second particle exists, and send information of the final adhesion object to a data processing terminal; wherein the information of the final adhesion object includes a corresponding position of the final adhesion object on the belt.
[0012] In a third aspect, the present application provides an electronic device comprising a memory and a processor, wherein the memory stores a computer program that can be run on the processor, and when the processor executes the computer program, the method described in the first aspect is implemented.
[0013] In a fourth aspect, the present application further provides a computer-readable storage medium, which stores computer-executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to execute the method described in the first aspect above.
[0014] This application brings the following beneficial effects: The present application provides a method, apparatus, and electronic device for processing adhesions on a belt conveyor. The method, apparatus, and electronic device are capable of acquiring X-ray image information of the belt conveyor during a sorting process through an X-ray recognition system, and determining the particle size of each particle on the belt conveyor based on the X-ray image information; determining whether the particle size is less than a preset lower feed particle size threshold; if the particle size is less than the preset lower feed particle size threshold, determining a first particle that is less than the preset lower feed particle size threshold as an initial adhesion; determining a target time interval for the initial adhesion to next enter the X-ray recognition system based on the total belt length, belt speed, and belt speed fluctuation of the belt conveyor; and, within the target time interval, again determining whether a second particle similar to the initial adhesion exists at a corresponding position on the belt of the initial adhesion; if a second particle similar to the initial adhesion exists, determining the second particle as a final adhesion, and transmitting information about the final adhesion to a data processing end; wherein the information about the final adhesion includes the corresponding position of the final adhesion on the belt. In this solution, X-ray image information obtained by the X-ray recognition system is used to determine whether the particle size of each particle on the belt conveyor is smaller than a preset lower feed particle size threshold. If such suspected initial adhesion exists, then within the target time interval determined based on the total belt length, belt speed, and belt speed fluctuation of the belt conveyor, the next time the initial adhesion enters the X-ray recognition system, it is again determined whether a second particle similar to the initial adhesion exists at the corresponding position on the belt of the initial adhesion. By using the target time interval and the two judgment processes, adhesions adhered to the belt of the belt conveyor can be more accurately identified, thereby improving the recognition accuracy of particles adhered to the belt of the belt conveyor and solving the technical problem of low recognition accuracy of particles adhered to the belt of the belt conveyor.
[0015] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS
[0016] In order to more clearly illustrate the specific implementation methods of the present application or the technical solutions in the prior art, the following is a brief introduction to the drawings required for use in the specific implementation methods or the description of the prior art. Obviously, the drawings described below are some implementation methods of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.
[0017] Figure 1 A schematic flow chart of a method for treating adhesions on a belt conveyor provided in an embodiment of the present application; Figure 2 Another schematic flow chart of a method for treating adhesions on a belt conveyor provided in an embodiment of the present application; Figure 3 A schematic structural diagram of a device for processing adhered matter on a belt conveyor provided in an embodiment of the present application; Figure 4 A schematic structural diagram of an electronic device provided in an embodiment of the present application is shown. DETAILED DESCRIPTION
[0018] To make the purpose, technical solutions, and advantages of the embodiments of this application more clear, the technical solutions of this application will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described are part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.
[0019] The terms "including," "having," and any variations thereof, as used in the embodiments of this application, are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or apparatus comprising a series of steps or units is not limited to the listed steps or units but may optionally include other steps or units not listed, or may optionally include other steps or units inherent to the process, method, product, or apparatus.
[0020] Currently, traditional X-ray intelligent dry sorters identify objects and locate their positions through absorption, and are unable to directly identify attachments like traditional imaging. When ore containing mud enters the intelligent dry sorter, the mud, along with small particles, adheres to the conveyor belt. Traditional belt cleaners, such as brushes and rubber belts, are ineffective at removing the mud, making some attachments difficult to clean. Adding flushing water to the entire belt results in significant water waste. Furthermore, flushing water entering the belt can cause problems such as slippage and equipment corrosion, leading to equipment downtime in severe cases. Currently, it is not possible to accurately identify and remove stubborn attachments in X-ray-based intelligent dry sorters.
[0021] Based on this, the embodiments of the present application provide a method, device and electronic equipment for processing adhesions on a belt conveyor. This method can solve the technical problems of low recognition accuracy of particles adhered to the belt of the belt conveyor and inability to remove them at a fixed point.
[0022] The embodiments of the present invention are further described below with reference to the accompanying drawings.
[0023] Figure 1 This is a flow chart of a method for treating adhesions on a belt conveyor provided in an embodiment of the present application. Figure 1As shown, the method includes: Step S110 , obtaining X-ray image information on the belt conveyor during the sorting process through an X-ray recognition system, and determining the particle size of each particle on the belt conveyor according to the X-ray image information.
[0024] The X-ray recognition system is the dry sorter's built-in X-ray recognition system, which detects and locates adherents. In addition to the analysis required for normal sorting, the sorting process also includes the ability to screen and locate adherents.
[0025] Step S120 , determining whether the particle size is smaller than a preset lower limit particle size threshold of the feed.
[0026] As a possible real-time method, empirical analysis of common feed particle sizes can be used to set a lower feed limit, or a preset feed size threshold. For example, if a machine with a feed size of +50mm may contain some particles between 50 and 30mm, the lower limit could be set to 30mm. X-ray image data is used to count the size of each particle and determine whether the particle size is below this lower limit.
[0027] Step S130 : If the particle size is smaller than the preset lower limit particle size threshold of the feed material, the first particle smaller than the preset lower limit particle size threshold of the feed material is determined as an initial adhesion.
[0028] In an optional embodiment, as Figure 2 As shown in FIG, if the particle size is smaller than the lower limit of the feed, the object is included in the database of suspected adhesions.
[0029] Step S140 : determining a target time interval for the next entry of the initial adhesion object into the X-ray recognition system based on the total length of the belt, the belt speed, and the belt speed fluctuation of the belt conveyor.
[0030] Exemplarily, this step may specifically include the following steps: according to the total length of the belt conveyor, the belt speed, and the belt speed fluctuation, the target time interval for the initial adhesion to enter the X-ray recognition system next time is determined by the following formula: [t1*k1,t2*k2], t1=L / (v0+Δv), t2=L / (v0-Δv); Where L is the total length of the belt, v0 is the belt speed, Δv is the belt speed fluctuation, [t1*k1, t2*k2] is the target time interval, k1 and k2 are preset adjustment coefficients, and the preset adjustment coefficients are used to expand the cleaning range. k1 is less than 1 and k2 is greater than 1.
[0031] It can be seen from this that according to the total belt length L, belt speed v0 and belt speed fluctuation Δv, the reasonable time interval t1=L / (v0+Δv) and t2=L / (v0-Δv) for the adhesion to enter the identification system next time are calculated. The setting interval is [t1*k1,t2*k2], where k1 and k2 are adjustment coefficients used to expand the cleaning range. Generally, k1 is less than 1 and k2 is greater than 1.
[0032] Step S150 : Within the target time interval, it is determined again whether there is a second particle similar to the initial adhesion at a corresponding position on the belt.
[0033] For subsequent cycle judgment, such as Figure 2 As shown, within the above-mentioned time period, it is determined again whether there are similar particles at this position based on many aspects such as particle shape and X-ray absorption capacity. If such particles exist, the following step S160 is executed.
[0034] Step S160: If there is a second particle similar to the initial adhesion, the second particle is determined as the final adhesion, and information of the final adhesion is sent to the data processing end.
[0035] The information of the final adhered object includes the corresponding position of the final adhered object on the belt. For example, if such a particle exists, the particle is recorded as an adhered particle and its corresponding position is sent to the processing center.
[0036] In an embodiment of the present application, as a method for positioning and identifying adhesions on a belt conveyor, a material distributor can also be used as a material distributor. The X-ray image information obtained by the X-ray recognition system is used to determine whether the particle size of each particle on the belt conveyor is smaller than a preset lower limit particle size threshold for feeding. If such a suspected initial adhesion exists, then within the target time interval determined based on the total length of the belt, the belt speed, and the belt speed fluctuation of the belt conveyor, the next time the initial adhesion enters the X-ray recognition system, it is determined again whether there is a second particle similar to the initial adhesion at the corresponding position on the belt. By using the target time interval, through these two judgment processes, adhesions adhered to the belt of the belt conveyor can be more accurately identified, thereby improving the recognition accuracy of particles adhered to the belt of the belt conveyor.
[0037] The above steps are described in detail below.
[0038] In some embodiments, before step S110, the method may further include the following steps: The belt on the belt conveyor is corrected, and the intensity fluctuation range of different points on the belt after correction is obtained; the parameters are adjusted according to the intensity fluctuation range of different points to identify particles smaller than the preset minimum particle size.
[0039] like Figure 2 As shown, the clean belt is corrected, the intensity fluctuation range of different points after correction is recorded, and the parameters are adjusted to increase the sensitivity of object recognition, thereby increasing the recognition system's ability to recognize objects with small particle size and small radiation absorption amplitude.
[0040] In some embodiments, after step S140, the method may further include the following steps: The target identification process that enters the target time interval is determined as the first round of judgment process; if a third particle that is identical to the initial adhesion is detected before the initial adhesion enters the time period corresponding to the first round of judgment process, the third particle is determined to be a contamination particle on the identification light path, and it is determined that the contamination particle is cleared and an alarm for light path contamination is issued.
[0041] The time interval in step S140 is set, and the next identification after entering this interval is recorded as the first round of identification. If the same object is found before the time period corresponding to the first round of identification, this object may be contamination on the identification light path. It is removed from the list of suspected adhesions and an alarm for light path contamination is issued, thereby improving the timeliness of light path contamination processing.
[0042] In some embodiments, after determining the target identification process entering the target time interval as the first round of judgment process, the method may further include the following steps: If non-similar particles that are not similar to the initial adhesions exist at the corresponding position of the initial adhesions on the belt within the time period corresponding to the first round of judgment process, it is determined to wait for the second round of judgment process after the first round of judgment process, and the judgment round for each initial adhesion is set.
[0043] For example, if a non-similar particle, such as a normal feed particle, is present at this location during the time period corresponding to the first round of identification, the system can wait for the second round of identification. To increase accuracy and flexibility, the number of identification rounds can be set for each suspected object. This increases the accuracy and flexibility of identifying objects attached to the belt conveyor.
[0044] In some embodiments, after step S160, the method may further include the following steps: maneuvering the cleaning device to the corresponding position of the final adhesion on the belt through the data processing end; and clearing the final adhesion through the cleaning device based on a preset blowing time.
[0045] like Figure 2As shown, the intelligent powerful cleaning device removes the debris. After receiving the debris's location information, the processing center maneuvers the intelligent powerful cleaning device to the designated location (or selectively activates the corresponding cleaning point) and performs the cleaning operation according to the set spraying time. This method improves the efficiency of final debris removal.
[0046] In some embodiments, the cleaning equipment includes a rubber scraper, a brush, and an intelligent cleaning device; The intelligent cleaning device is equipped with a blowing unit and multiple fixed cleaning units. The fixed cleaning units are used to regularly open the corresponding blowing units according to the particle position and movement time; alternatively, the intelligent cleaning device uses a slide rail sliding adjustment method to control a single cleaning unit to perform cleaning at a fixed position.
[0047] For example, the cleaning equipment described above consists of a traditional sweeper and an intelligent cleaning device. Traditional sweepers often consist of a rubber scraper, brush, and other components. Two intelligent cleaning devices are available: one is to install multiple fixed cleaning units, which activate the corresponding blowing units at a fixed time based on the object's position and movement time, achieving intelligent cleaning. The other is to use a sliding rail system, with a single cleaning unit responsible for a fixed area, using a sliding adjustment method to achieve fixed cleaning. This approach improves the utilization rate of the cleaning equipment and, in turn, its effectiveness in removing debris from belt conveyors.
[0048] Figure 3 A schematic diagram of the structure of a device for processing adhesions on a belt conveyor is provided. Figure 3 As shown, the device 300 for processing adhesions on a belt conveyor includes: An acquisition module 301 is configured to acquire 3-ray image information on the belt conveyor during the sorting process through a 3-ray recognition system, and determine the particle size of each particle on the belt conveyor based on the 3-ray image information; The first judgment module 302 is used to judge whether the particle size is smaller than a preset lower limit particle size threshold of the feed; A first determining module 303 is configured to determine a first particle smaller than the preset feed lower limit particle size threshold as an initial adhesion if the particle size is smaller than the preset feed lower limit particle size threshold; A second determining module 304 is configured to determine a target time interval for the initial adhesion to enter the three-ray recognition system next time based on the total belt length, belt speed, and belt speed fluctuation of the belt conveyor; A second determination module 305 is configured to determine again whether there is a second particle similar to the initial adhesion at a corresponding position of the initial adhesion on the belt within the target time interval; The sending module 306 is configured to determine the second particle as the final adhesion if there is a second particle similar to the initial adhesion, and send information about the final adhesion to the data processing end; wherein the information about the final adhesion includes the corresponding position of the final adhesion on the belt.
[0049] The device for processing adhesions on a belt conveyor provided in an embodiment of the present application has the same technical features as the method for processing adhesions on a belt conveyor provided in the above embodiment, and therefore can also solve the same technical problems and achieve the same technical effects.
[0050] An electronic device provided in an embodiment of the present application is Figure 4 As shown, the electronic device 400 includes a processor 402 and a memory 401 , wherein the memory stores a computer program that can be run on the processor, and the processor implements the steps of the method provided in the above embodiment when executing the computer program.
[0051] See also Figure 4 The electronic device further includes: a bus 403 and a communication interface 404, a processor 402, a communication interface 404 and a memory 401 connected via the bus 403; the processor 402 is used to execute executable modules stored in the memory 401, such as computer programs.
[0052] Memory 401 may include high-speed random access memory (RAM) and may also include non-volatile memory, such as at least one disk drive. Communication between the system network element and at least one other network element is achieved via at least one communication interface 404 (which may be wired or wireless), and may utilize the Internet, a wide area network, a local area network, a metropolitan area network, or the like.
[0053] The bus 403 may be an ISA bus, a PCI bus, or an EISA bus. The bus may be divided into an address bus, a data bus, a control bus, and the like. For ease of representation, Figure 4 Only one bidirectional arrow is used in the diagram, but this does not mean that there is only one bus or one type of bus.
[0054] Among them, the memory 401 is used to store programs, and the processor 402 executes the program after receiving the execution instruction. The method executed by the device defined by the process disclosed in any embodiment of the present application can be applied to the processor 402 or implemented by the processor 402.
[0055] The processor 402 may be an integrated circuit chip with signal processing capabilities. During implementation, each step of the above method can be completed by an integrated logic circuit of hardware in the processor 402 or by instructions in the form of software. The above-mentioned processor 402 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The various methods, steps, and logic block diagrams disclosed in the embodiments of the present application can be implemented or executed. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc. The steps of the method disclosed in conjunction with the embodiments of the present application can be directly embodied as being executed by a hardware decoding processor, or can be executed by a combination of hardware and software modules in the decoding processor. The software module can be located in a storage medium well-known in the art, such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, etc. The storage medium is located in memory 401, and processor 402 reads the information in memory 401 and, in conjunction with its hardware, completes the steps of the above method.
[0056] Corresponding to the above-mentioned method for processing adhesions on a belt conveyor, an embodiment of the present application further provides a computer-readable storage medium, which stores computer-executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to execute the steps of the above-mentioned method for processing adhesions on a belt conveyor.
[0057] The device for processing adhesions on a belt conveyor provided in the embodiment of the present application can be specific hardware on the device or software or firmware installed on the device. The implementation principle and technical effects of the device provided in the embodiment of the present application are the same as those of the aforementioned method embodiment. For the sake of brief description, any matters not mentioned in the device embodiment can be referred to the corresponding content in the aforementioned method embodiment. Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working processes of the systems, devices, and units described above can all refer to the corresponding processes in the aforementioned method embodiment, and will not be repeated here.
[0058] In the embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units 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 communication interface, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.
[0059] For another example, the flowcharts and block diagrams in the accompanying drawings show the possible architectures, functions and operations of the devices, methods and computer program products according to multiple embodiments of the present application. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of code, and the module, program segment or a part of code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in an order different from that marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of the boxes in the block diagram and / or flowchart, can be implemented with a dedicated hardware-based system that performs the specified function or action, or can be implemented with a combination of dedicated hardware and computer instructions.
[0060] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.
[0061] In addition, each functional unit in the embodiments provided in the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
[0062] If the functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, or the portion that contributes to the prior art, or the portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method for handling adhesions on a belt conveyor described in each embodiment of this application. The aforementioned storage medium includes various media that can store program code, such as a USB flash drive, a mobile hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.
[0063] It should be noted that similar numbers and letters represent similar items in the following figures. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. In addition, the terms "first", "second", "third", etc. are only used to distinguish the description and are not to be understood as indicating or implying relative importance.
[0064] Finally, it should be noted that the above-described embodiments are only specific implementation methods of the present application, which are used to illustrate the technical solutions of the present application, rather than to limit them. The scope of protection of the present application is not limited thereto. Although the present application has been described in detail with reference to the above-mentioned embodiments, those skilled in the art should understand that any person skilled in the art can modify or easily conceive of changes to the technical solutions described in the above-mentioned embodiments within the technical scope disclosed in the present application, or perform equivalent replacements for some of the technical features thereof. However, these modifications, changes, or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present application. They should all be included in the scope of protection of the present application. Therefore, the scope of protection of the present application should be based on the scope of protection of the claims.
Claims
1. A method for treating adhesions on a belt conveyor, characterized in that: The method comprises: Acquire X-ray image information on the belt conveyor during the sorting process through an X-ray recognition system, and determine the particle size of each particle on the belt conveyor according to the X-ray image information; Determine whether the particle size is smaller than a preset lower limit particle size threshold; If the particle size is smaller than the preset lower limit particle size threshold of the feed material, the first particle smaller than the preset lower limit particle size threshold of the feed material is determined as an initial adhesion; Determining a target time interval for the next entry of the initial adhesion object into the X-ray recognition system according to the total belt length, belt speed, and belt speed fluctuation of the belt conveyor; within the target time interval, determining again whether there are second particles similar to the initial adhesion at a corresponding position of the initial adhesion on the belt; If there is a second particle similar to the initial adhesion, the second particle is determined as the final adhesion, and the information of the final adhesion is sent to the data processing end; wherein the information of the final adhesion includes the corresponding position of the final adhesion on the belt.
2. The method according to claim 1, characterized in that The step of determining a target time interval for the initial adhesion to enter the X-ray recognition system next time according to the total belt length, belt speed, and belt speed fluctuation of the belt conveyor comprises: According to the total belt length, belt speed and belt speed fluctuation of the belt conveyor, the target time interval for the initial adhesion to enter the X-ray recognition system next time is determined by the following formula: [t1*k1,t2*k2], t1=L / (v0+Δv), t2=L / (v0-Δv); Among them, L is the total length of the belt, v0 is the belt speed, Δv is the belt speed fluctuation, [t1*k1, t2*k2] is the target time interval, k1 and k2 are preset adjustment coefficients, and the preset adjustment coefficients are used to expand the cleaning range, k1 is less than 1 and k2 is greater than 1.
3. The method according to claim 1, characterized in that Before obtaining the X-ray image information on the belt conveyor during the sorting process through the X-ray recognition system, the method further includes: Correcting the belt on the belt conveyor and obtaining the intensity fluctuation range of different points of the belt after correction; The parameters are adjusted according to the intensity fluctuation ranges at different points to identify particles smaller than a preset minimum particle size.
4. The method according to claim 3, characterized in that After determining the target time interval for the initial adhesion to enter the X-ray recognition system next time, the method further includes: Determine the target recognition process entering the target time interval as the first round of judgment process; If a third particle identical to the initial adhesion is detected before the initial adhesion enters the time period corresponding to the first round of judgment process, the third particle is determined as a contamination particle on the identification light path, and it is determined that the contamination particle is to be cleared and an alarm of light path contamination is issued.
5. The method according to claim 4, characterized in that After determining the target identification process entering the target time interval as the first round of judgment process, the method further includes: If non-similar particles that are not similar to the initial adhesions exist at the corresponding positions of the initial adhesions on the belt within the time period corresponding to the first round of judgment process, it is determined to wait for a second round of judgment process after the first round of judgment process, and a judgment round for each of the initial adhesions is set.
6. The method according to claim 1, characterized in that After sending the information of the final adhesion to the data processing end, the method further includes: The cleaning device is moved to a corresponding position of the final adhered object on the belt through the data processing end; The final adhesions are removed by the cleaning device based on a preset blowing time.
7. The method according to claim 6, characterized in that The cleaning equipment includes a rubber scraper, a brush, and an intelligent cleaning device; The intelligent cleaning device is equipped with a blowing unit and multiple fixed cleaning units, and the fixed cleaning units are used to regularly open the corresponding blowing units according to the particle positions and movement time; alternatively, the intelligent cleaning device uses a slide rail sliding adjustment method to control a single cleaning unit to perform cleaning at a fixed position.
8. A device for processing adhesions on a belt conveyor, characterized in that: include: An acquisition module, used for acquiring X-ray image information on the belt conveyor during the sorting process through an X-ray recognition system, and determining the particle size of each particle on the belt conveyor according to the X-ray image information; A first judgment module is used to judge whether the particle size is smaller than a preset lower limit particle size threshold of the feed; A first determination module is used to determine the first particle smaller than the preset feed lower limit particle size threshold as an initial adhesion if the particle size is smaller than the preset feed lower limit particle size threshold; A second determination module is used to determine a target time interval for the initial adhesion to enter the X-ray recognition system next time according to the total belt length, belt speed and belt speed fluctuation of the belt conveyor; A second judgment module is used to judge again whether there are second particles similar to the initial adhesion at the corresponding position of the initial adhesion on the belt within the period of the target time interval; The sending module is used for determining the second particle similar to the initial adhesion object as the final adhesion object if the second particle exists, and sending the information of the final adhesion object to the data processing end; wherein the information of the final adhesion object includes the corresponding position of the final adhesion object on the belt.
9. An electronic device comprising a memory and a processor, wherein the memory stores a computer program that can be run on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.
10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to execute the method according to any one of claims 1 to 7.
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