Equipment control method, material sorting equipment and computer readable storage medium

Abstract

The present disclosure relates to the field of material sorting, and specifically to an equipment control method, a material sorting equipment, and a computer-readable storage medium. The equipment control method includes: in the process of material sorting, respectively detecting the original grade of each material in the material to be sorted, determining the material detection grade of the material to be sorted, and the sorting detection grade of the corresponding sorting result; respectively determining the actual material grade of the material to be sorted and the actual sorting grade of the sorting result; determining the material sorting situation based on the first comparison result between the material detection grade and the actual material grade, and / or the second comparison result between the sorting detection grade and the actual sorting grade; if the material sorting situation is abnormal, determining and adjusting the abnormal mechanism in the material sorting equipment online to restore the material sorting situation to normal. It can reduce the occurrence of material sorting equipment shutdown maintenance and improve the material sorting effect.

Description

Technical Field

[0001] The present disclosure relates to the field of material sorting, and in particular to an equipment control method, a material sorting equipment and a computer-readable storage medium. Background Art

[0002] In the process of material sorting, the sorting effect of the material depends on the material sorting equipment. If the material sorting equipment has an abnormality during operation, it will affect the sorting effect, resulting in a large deviation between the actual sorting result of the material and the expected sorting result.

[0003] In the related art, when the sorting effect of the material sorting equipment does not meet the expectations, it is shut down for maintenance, and the relevant personnel use manual inspection to determine the cause of the abnormality of the material sorting equipment, and then carry out targeted maintenance. However, this method of equipment maintenance has high labor costs, low maintenance efficiency, and will also cause greater production losses due to equipment shutdown. Summary of the invention

[0004] In order to overcome the problems existing in the related art, an exemplary embodiment of the present disclosure provides an equipment control method, which is applied to material sorting equipment, and the method includes: in the process of sorting materials to be sorted, respectively detecting the original grade of each material in the materials to be sorted, determining the material detection grade of the materials to be sorted, and determining the sorting detection grade of the materials to be sorted corresponding to the sorting results; respectively determining the actual material grade of the materials to be sorted and the actual sorting grade of the sorting results; determining the material sorting situation based on a first comparison result between the material detection grade and the actual material grade, and / or a second comparison result between the sorting detection grade and the actual sorting grade; if the material sorting situation is abnormal, determining and adjusting the abnormal mechanism in the material sorting equipment online to restore the material sorting situation to normal.

[0005] In some embodiments, online determination and adjustment of abnormal mechanisms in material sorting equipment include: based on the degree of influence of multiple mechanisms in the material sorting equipment on material sorting, sequentially detecting at least one mechanism to determine the abnormal mechanism in the material sorting equipment; if it is determined that an abnormal mechanism exists in the material sorting equipment, adjusting the abnormal mechanism in the material sorting equipment online.

[0006] In some embodiments, the material sorting equipment includes a material conveying mechanism, a sorting mechanism and an image acquisition mechanism; based on the degree of influence of multiple mechanisms in the material sorting equipment on material sorting, at least one mechanism is detected in sequence to determine the abnormal mechanism in the material sorting equipment, including: detecting the operating status of the material conveying mechanism; if the operating status of the material conveying mechanism is abnormal, determining that the material conveying mechanism is an abnormal mechanism; if the operating status of the material conveying mechanism is normal, detecting the operating status of the sorting mechanism; if the operating status of the sorting mechanism is abnormal, determining that the sorting mechanism is an abnormal mechanism; if the operating status of the sorting mechanism is normal, detecting the operating status of the image acquisition mechanism; if the operating status of the image acquisition mechanism is abnormal, determining that the image acquisition mechanism is an abnormal mechanism; if the operating status of the image acquisition mechanism is normal, determining that there is no abnormal mechanism in the material sorting equipment.

[0007] In some embodiments, detecting the operating status of the material conveying mechanism includes: obtaining an operating image of the material conveying mechanism during the process of sorting the material to be sorted; analyzing the operating image to determine the actual transport direction and actual damage information of the material conveying mechanism; determining the actual material conveying speed of the material conveying mechanism during the process of sorting the material to be sorted; detecting the operating status of the material conveying mechanism based on the comparison result between the actual transport direction and the corresponding target transport direction, the comparison result between the actual material conveying speed and the corresponding target material conveying speed, and the actual damage information.

[0008] In some embodiments, the method also includes: if the absolute value of the difference between the actual transport direction and the corresponding target transport direction is greater than a first threshold, then based on the absolute value of the difference between the actual transport direction and the target transport direction, adjusting the sorting mechanism to make the material sorting condition normal; and / or if the material transmission mechanism is determined to be abnormal based on the actual damage information, then sending a first alarm notification to indicate that there is an abnormality in the material transmission mechanism.

[0009] In some embodiments, detecting the operating status of the sorting mechanism includes: predicting the operating status of the sorting mechanism; if it is predicted that the time duration that the sorting mechanism is in an idle state is greater than or equal to a preset time duration, obtaining actual power parameters of power components of the sorting mechanism during the process of sorting materials to be sorted; based on the comparison result between the actual power parameters and the target power parameters of the power components, detecting the operating status of the power components; if the operating status of the power components is abnormal, determining that the operating status of the sorting mechanism is abnormal; if the operating status of the power components is normal, obtaining actual execution parameters of the execution components of the sorting mechanism during the process of sorting materials to be sorted; based on the comparison result between the actual execution parameters and the target execution parameters of the execution components, determining the operating status of the sorting mechanism.

[0010] In some embodiments, detecting the operating status of the image acquisition mechanism includes: obtaining actual radiation source parameters and actual imaging parameters of the image acquisition mechanism during the process of sorting materials to be sorted; based on the comparison results between the actual radiation source parameters and the corresponding target radiation source parameters, and the comparison results between the actual imaging parameters and the corresponding target imaging parameters, detecting the operating status of the image acquisition mechanism, the image acquisition mechanism includes an X-ray imaging mechanism and / or a visible light imaging mechanism.

[0011] In some embodiments, online determining and adjusting abnormal mechanisms in material sorting equipment further includes: if it is determined that there is no abnormal mechanism in the material sorting equipment, sending a second alarm notification to indicate that the material sorting situation is abnormal.

[0012] In a second aspect, the present disclosure further provides a material sorting device, comprising: a material transmission mechanism, an image acquisition mechanism, a sorting mechanism, a grade analysis mechanism and an abnormality detection mechanism; the material transmission mechanism is used to transmit the material to be sorted; the image acquisition mechanism is used to collect images of the material to be sorted during the sorting process; the sorting mechanism is used to sort the material to be sorted based on the material detection grade determined by the image; the grade analysis mechanism is used to respectively determine the actual material grade of the material to be sorted and the actual sorting grade of the sorting result; the abnormality detection mechanism is used to respectively detect the original grade of each material in the material to be sorted based on the image, determine the material detection grade of the material to be sorted, and determine the sorting detection grade of the material to be sorted corresponding to the sorting result; based on the first comparison result between the material detection grade and the actual material grade, and / or the second comparison result between the sorting detection grade and the actual sorting grade, determine the material sorting situation; and if the material sorting situation is abnormal, determine and adjust the abnormal mechanism in the material sorting equipment online to restore the material sorting situation to normal.

[0013] In a third aspect, the present disclosure further provides a computer-readable storage medium, which stores the following program, and the program is used to execute the device control method provided in any one of the above aspects.

[0014] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure.

[0015] The technical solution provided by the embodiments of the present disclosure may include the following beneficial effects: According to the equipment control method provided by the present disclosure, based on the actual material grade of the material to be sorted and the corresponding actual sorting grade, the material sorting equipment is detected in the process of sorting the material, and the material detection grade and the sorting detection grade obtained by software detection are abnormal, and then it is judged whether the material sorting equipment is abnormal, which helps to timely discover whether deviations occur in the sorting process. When it is determined that there is an abnormality in the material sorting equipment, the material sorting equipment is maintained by online determination and adjustment of the abnormal mechanism in the material sorting equipment, which helps to restore the material sorting situation in time, reduce the occurrence of material sorting equipment downtime maintenance, reduce manual detection and maintenance, reduce operating costs, improve production efficiency, and help improve the sorting effect of materials. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The present disclosure may be better understood by describing exemplary embodiments of the present disclosure in conjunction with the accompanying drawings, in which:

[0017] Figure 1 This is a structural example diagram of a material sorting device shown in an exemplary embodiment of the present disclosure;

[0018] Figure 2 A schematic flow chart of a device control method according to an exemplary embodiment of the present disclosure;

[0019] Figure 3 A flowchart of another device control method shown in an exemplary embodiment of the present disclosure;

[0020] Figure 4 A flowchart of another device control method shown in an exemplary embodiment of the present disclosure;

[0021] Figure 5 A schematic diagram of a mechanism adjustment process according to an exemplary embodiment of the present disclosure;

[0022] Figure 6 A schematic diagram of another mechanism adjustment process according to an exemplary embodiment of the present disclosure;

[0023] Figure 7 A schematic diagram of another mechanism adjustment process according to an exemplary embodiment of the present disclosure;

[0024] Figure 8 It is a schematic structural diagram of another material sorting equipment shown in another exemplary embodiment of the present disclosure. DETAILED DESCRIPTION

[0025] The specific implementation methods of the present disclosure will be described below. It should be noted that in the specific description of these implementation methods, in order to provide a concise description, it is impossible for this specification to provide a detailed description of all the features of the actual implementation methods. It should be understood that in the actual implementation of any implementation method, just as in the process of any engineering project or design project, in order to achieve the specific goals of the developer and to meet system-related or business-related restrictions, various specific decisions are often made, and this will also change from one implementation method to another. In addition, it can also be understood that although the efforts made in this development process may be complex and lengthy, for ordinary technicians in the field related to the content disclosed by the present disclosure, some changes in design, manufacturing or production based on the technical content disclosed in the present disclosure are just conventional technical means, and should not be understood as insufficient content of the present disclosure.

[0026] Unless otherwise defined, the technical terms or scientific terms used in the present disclosure shall have the usual meanings understood by persons with ordinary skills in the technical field to which the present disclosure belongs. The words "first", "second" and similar words used in the present disclosure do not indicate any order, quantity or importance, but are only used to distinguish different components. Words such as "one" or "one" and the like do not indicate a quantitative limitation, but rather indicate the presence of at least one. Words such as "include" or "comprise" and the like mean that the elements or objects appearing before "include" or "comprise" cover the elements or objects listed after "include" or "comprise" and their equivalents, and do not exclude other elements or objects. Words such as "connect" or "connected" and the like are not limited to physical or mechanical connections, nor are they limited to direct or indirect connections.

[0027] In the related art, when the sorting effect of the material sorting equipment does not meet expectations, the equipment is shut down for maintenance, and relevant personnel use manual inspection to determine the cause of the abnormality of the material sorting equipment, and then perform targeted maintenance.

[0028] For example, taking the material sorting equipment as an ore sorting equipment, the material to be sorted is ore, and the process of sorting ore by the ore sorting equipment can be as follows: Figure 1As shown, it includes: feeding the ore into the material transmission mechanism (such as a belt) 110 through the feed port, and in the process of material transmission, identifying the currently transmitted ore through the material identification mechanism 120, determining the corresponding ore category, and sending the ore category to the sorting mechanism 130, so that the currently transmitted ore is sorted into the corresponding drop area through the sorting mechanism 130. However, since each mechanism in the ore sorting equipment is relatively independent, and some mechanisms can exchange data, when there is an abnormality in the ore sorting, the ore sorting equipment needs to be shut down for maintenance, so that relevant personnel can check one by one to determine the cause of the abnormal sorting effect of the material sorting.

[0029] However, this method of equipment maintenance has high labor costs, long time consumption, and low maintenance efficiency. In addition, when the material sorting equipment is shut down for too long, it will also cause additional production losses to the material sorting company.

[0030] To solve the above problems, an exemplary embodiment of the present disclosure provides an equipment control method, which is applied to material sorting equipment. Figure 2 As shown, the device control method includes:

[0031] Step S210, in the process of sorting the materials to be sorted, respectively detect the original grade of each material in the materials to be sorted, determine the material detection grade of the materials to be sorted, and determine the sorting detection grade of the materials to be sorted corresponding to the sorting result.

[0032] In order to detect whether the material sorting equipment is reliable in material sorting, the original grade of each material in the transmission process is detected during the material sorting process of the material to be sorted, so as to determine the original component content of each material, so as to obtain the material detection grade of the whole material to be sorted in the material sorting process. Among them, the material to be sorted may include but is not limited to coal, ore, metal or plastic, etc., depending on the actual material classification requirements. In some examples, the material detection grade is determined based on the original grade of multiple materials. The method may include but is not limited to any of the following methods: determining the material detection grade according to the mean of the original grades of multiple materials, determining the material detection grade according to the weighted average of the original grades of multiple materials, or determining the material detection grade according to the mean square error of the original grades of multiple materials. The specific determination method can be determined according to actual needs and is not limited here. According to the sorting situation of each material, the sorting result of the material to be sorted is determined, and then the sorting detection grade of the sorting result is determined therefrom to determine the content of each component in the sorted material. Among them, the process of determining the grade of sorting inspection is the same as the principle of determining the grade of material inspection, which will not be repeated here.

[0033] It should be noted that, in step 210, both the material detection grade and the sorting detection grade are determined by software detection. By determining the material detection grade and the corresponding sorting detection grade, it is helpful to subsequently determine whether there is any abnormality in the software algorithm of the material sorting equipment during the material sorting process.

[0034] In some examples, the material detection grade can be the result of testing the material transmitted within a specified time period to ensure the reliability of the material detection grade, thereby providing strong data support for subsequent material sorting. The specific value of the specified time period can be determined based on actual needs. For example, the specified time period can be 30 minutes or 1 hour.

[0035] Step S220, respectively determining the actual material grade of the material to be sorted and the actual sorting grade of the sorting result.

[0036] In order to determine whether the material test grade and the sorting test grade are abnormal, the actual material grade of the material to be sorted and the actual sorting grade of the sorting result are determined respectively as the test standards.

[0037] In some examples, the actual material grade of the material to be sorted and the actual sorting grade of the sorting result can be determined by X-ray fluorescence analysis. Specifically, the process of determining the actual material grade can be taken as an example, a portion of the material to be sorted is randomly extracted from the material to be sorted, and a test sample is obtained by performing pre-treatment such as crushing and grinding on the portion of the material, and the test sample is analyzed by X-ray fluorescence to obtain the actual material grade that can characterize the actual component content of the material to be sorted. For example, taking ore grade analysis as an example, the content of valuable metals such as gold, silver, and copper in the ore can be detected to obtain the corresponding actual material grade. In other examples, the randomly extracted portion of the material can be extracted from the feed port, so as to ensure the reliability of the actual material grade, reduce the deviation caused by the uneven distribution of materials in a specific batch or the high concentration area in a specific area, thereby helping to improve the overall quality and efficiency of the material sorting and analysis process. In some other examples, the actual material grade of the material to be sorted and the actual sorting grade of the sorting result can also be determined by any of the following methods: atomic absorption spectroscopy (AAS), inductively coupled plasma mass spectrometry (ICP-MS) or neutron activation analysis (NAA), etc., depending on the material type and detection requirements.

[0038] The process of determining the actual sorting grade is the same as the process of determining the actual material grade, and will not be elaborated here.

[0039] Step S230, determining the material sorting situation based on the first comparison result between the material detection grade and the actual material grade, and / or the second comparison result between the sorting detection grade and the actual sorting grade.

[0040] The actual material grade is the result of testing the entity of the material to be sorted. The material test grade is determined by software testing of the material to be sorted. In addition, the basis for subsequent material sorting by the material sorting equipment needs to be determined by the material test grade. Whether the material test grade is reliable directly affects the results of subsequent sorting by the material sorting equipment.

[0041] Therefore, in order to determine whether the material detection grade is reliable during the material sorting process of the material sorting equipment, the material detection grade is compared with the actual material grade, and then whether the material detection grade is abnormal is determined according to the first comparison result. If the material detection grade is normal, it indicates that there is no abnormality in the material grade detection process, and then it can be further determined whether the sorting detection grade is abnormal.

[0042] The actual sorting grade is the result obtained by testing the entity of the sorting result, and the sorting detection grade is determined by software testing of the sorting result. Therefore, in order to determine whether there is an abnormality in the material sorting process, the sorting detection grade is compared with the actual sorting grade, and then the reliability of the sorting detection grade is determined based on the second comparison result. If the sorting detection grade is abnormal, it indicates that there is an abnormality in the material sorting process, and then it can be determined that the material sorting is abnormal. If the sorting detection grade is normal, it indicates that there is no abnormality in the material sorting process and the material sorting is normal.

[0043] Step S240: If the material sorting condition is abnormal, the abnormal mechanism in the material sorting equipment is determined and adjusted online to restore the material sorting condition to normal.

[0044] If the material sorting situation is abnormal, it means that the material sorting situation affects the material sorting quality. In order to improve the equipment maintenance efficiency and reduce the occurrence of material sorting equipment shutdown, the abnormal mechanism in the material sorting equipment is determined without stopping the equipment operation, and the abnormal mechanism is adjusted in a targeted manner to restore the material sorting situation to normal and ensure the sorting quality of subsequent material sorting, which is beneficial to improving the material sorting effect.

[0045] According to the equipment control method provided by the present disclosure, based on the actual material grade of the material to be sorted and the corresponding actual sorting grade, the material sorting equipment is detected in the process of sorting the material, and the material detection grade and the sorting detection grade obtained by software detection are abnormal, and then it is judged whether the material sorting equipment is abnormal, which helps to timely discover whether deviations occur in the sorting process. When it is determined that there is an abnormality in the material sorting equipment, the material sorting equipment is maintained by online determination and adjustment of the abnormal mechanism in the material sorting equipment, which helps to restore the material sorting situation in time, reduce the occurrence of material sorting equipment downtime maintenance, reduce manual detection and maintenance, reduce operating costs, improve production efficiency, and help improve the sorting effect of materials.

[0046] In some embodiments, detecting whether there is any abnormality in the operation of the material sorting equipment is a periodic detection. For example, the sorting status of the material to be sorted by the material sorting equipment is detected every 30 minutes, so that when there is any abnormality in the operation of the material sorting equipment, it can be adjusted in time to reduce the occurrence of downtime maintenance, which helps to reduce maintenance costs.

[0047] In some embodiments, if the material detection grade is abnormal, it indicates that there is an abnormality in the process of detecting the material grade during the material sorting process, which in turn causes the material sorting situation to be abnormal. Therefore, in order to improve the control effectiveness of the material sorting equipment, the material grade detection process is adjusted in a targeted manner so that the adjusted material detection grade can be consistent with the actual material grade, providing a reliable data basis for the subsequent determination of whether the material sorting situation is abnormal. In some application scenarios, based on the difference between the material detection grade and the actual material grade, the material quality coefficient can be adjusted in a targeted manner when the percentage of the area of ​​a single material to the overall area of ​​the material to be sorted is obtained, so as to improve the reliability and accuracy of material grade detection.

[0048] In some embodiments, Figure 3 As shown, when it is determined that the material sorting situation is abnormal, the abnormal mechanism in the material sorting equipment can be determined and adjusted online in the following manner:

[0049] Step 310: Based on the degree of influence of multiple mechanisms in the material sorting equipment on material sorting, at least one mechanism is tested in sequence to determine an abnormal mechanism in the material sorting equipment.

[0050] Material sorting equipment operates based on the joint action of multiple mechanisms, and each mechanism has a certain influence on the material sorting effect. The greater the influence of the mechanism, the easier it is for the mechanism to affect the material sorting quality during the material transmission process; the smaller the influence of the mechanism, the less likely it is for the mechanism to affect the material sorting quality during the material transmission process. Among them, the influence of each mechanism on material sorting can be determined based on prior knowledge, statistical analysis, physical models or other methods.

[0051] When it is determined that the material sorting situation is abnormal, in order to improve the detection efficiency so that the material sorting equipment can quickly return to normal, based on the degree of influence of multiple mechanisms in the material sorting equipment on material sorting, at least one mechanism is detected in sequence, so that the abnormal mechanism in the material sorting equipment can be quickly determined, and the cause of the abnormal operating state of the material sorting equipment can be located in time, so that the abnormal mechanism can be maintained in time subsequently to reduce the impact on subsequent material sorting.

[0052] In some embodiments, the material sorting device includes a material transmission mechanism, a sorting mechanism, and an image acquisition mechanism; Figure 4 As shown, the above step 310 may include:

[0053] Step S311, detecting the operating status of the material transmission mechanism.

[0054] Based on the influence of multiple mechanisms in the material sorting equipment on material sorting, it can be determined that the influence of the material transmission mechanism on material sorting is greater than the influence of the sorting mechanism on material sorting, and the influence of the sorting mechanism on material sorting is greater than the influence of the image acquisition mechanism on material sorting.

[0055] Therefore, in order to determine whether there is any abnormality in the operation state of the material conveying mechanism, the operation state of the material conveying mechanism is preferentially detected to determine whether the abnormal material sorting is caused by the material conveying mechanism.

[0056] In some examples, the above step S311 includes the following steps:

[0057] Step a1, predicting the operating status of the sorting mechanism;

[0058] Step a2, if the predicted time length of the sorting mechanism being in the idle state is greater than or equal to the preset time length, obtaining an operation image of the material conveying mechanism in the process of sorting the material to be sorted;

[0059] Step a3, analyzing the running image to determine the actual transport direction and actual damage information of the material transport mechanism;

[0060] Step a4, determining the actual material transmission speed of the material transmission mechanism during the process of sorting the material to be sorted;

[0061] Step a5, based on the comparison result between the actual transport direction and the corresponding target transport direction, the comparison result between the actual material transport speed and the corresponding target material transport speed and the actual damage information, the operating status of the material transport mechanism is detected.

[0062] Specifically, in order to avoid affecting the normal operation of the sorting mechanism, the operating state of the sorting mechanism is predicted to determine whether the sorting mechanism needs to be operated at the next moment. If the predicted time length of the sorting mechanism in the idle state is greater than or equal to the preset time length, it indicates that when the operating state of the sorting mechanism is detected, it will not affect the normal sorting process of material sorting, and then obtain the operating image of the material transmission mechanism in the process of sorting the material to be sorted, so as to analyze the transmission body of the material transmission mechanism through the operating image. Among them, the preset time length can be understood as the minimum idle time length that will not interfere with the material sorting of the material sorting equipment. For example, the preset time length can be 200ms. In one example, the specific duration length of the preset time length can be determined by the position distance between the material position of the material to be sorted and the sorting mechanism, and the material transmission speed. In another example, the preset time length can be determined according to the detection requirements.

[0063] By analyzing the operation image, the actual transportation direction of the material transmission mechanism during operation and the actual damage information of whether the transmission body is damaged can be determined. The damage of the transmission body of the material transmission mechanism can be determined through the actual damage information. Since the transmission body of the material transmission mechanism is abnormal, it will affect the process of material transmission to the sorting mechanism, and then affect the operation of the sorting mechanism. Therefore, by determining the actual transportation direction and the actual damage information, it can be determined whether there is a problem with the transmission body of the material transmission mechanism.

[0064] By determining the actual material transmission speed of the material transmission mechanism during the material sorting process of the material to be sorted, it can be determined whether there is a problem with the configuration parameters of the material transmission mechanism. In some examples, the actual material transmission speed can be obtained based on the detection of the speed sensor. For example, taking the material transmission mechanism as a belt transmission mechanism as an example, the actual material transmission speed of the belt during operation can be detected by using an encoder on the belt power shaft. For example, if the encoder generates 100 pulses per revolution, then the number of pulses generated per second multiplied by the speed represented by each pulse (usually the encoder will indicate the speed value of each pulse) can be used to obtain the actual material transmission speed of the belt. For another example, taking the material transmission mechanism as a roller conveyor as an example, the actual material transmission speed of the roller can be determined by an encoder or laser rangefinder installed on the roller shaft.

[0065] The target transport direction can be understood as the expected transport direction when the material transport mechanism is in a certain position. By comparing the actual transport direction with the corresponding target transport direction, it can be determined whether the material transport direction of the material transport mechanism is offset according to the comparison result.

[0066] The target material transmission speed can be understood as the expected transmission speed of the material transmission mechanism for material transmission. By comparing the actual material transmission speed with the corresponding target material transmission speed, it can be determined whether the material transmission speed of the material transmission mechanism deviates according to the comparison result.

[0067] By determining the actual transport direction, it can be determined whether the actual transport direction of the material transport mechanism deviates from the expected target transport direction when the position of the material transport mechanism is constant.

[0068] Therefore, when any one or more of the comparison result between the actual transport direction and the corresponding target transport direction, the comparison result between the actual material transmission speed and the corresponding target material transmission speed, and the actual damage information is abnormal, it can be determined that the operation state of the material transmission mechanism is abnormal. When the comparison result between the actual transport direction and the corresponding target transport direction, the comparison result between the actual material transmission speed and the corresponding target material transmission speed, and the actual damage information are all normal, it can be determined that the operation state of the material transmission mechanism is normal.

[0069] Step S312: if the operating state of the material transmission mechanism is abnormal, determine that the material transmission mechanism is an abnormal mechanism.

[0070] If the operating state of the material transmission mechanism is abnormal, it indicates that the cause of the abnormal material sorting is due to the material transmission mechanism, and the material transmission mechanism is determined to be an abnormal mechanism.

[0071] Step S313: if the operating status of the material transmission mechanism is normal, then the operating status of the sorting mechanism is detected.

[0072] If the operating status of the material transmission mechanism is normal, it indicates that the cause of the abnormal material sorting is not caused by the material transmission mechanism. Therefore, it is necessary to further detect the mechanism with less influence on the material sorting, and then detect the operating status of the sorting mechanism to determine whether the operating status of the sorting mechanism is normal and whether the abnormal material sorting is caused by the sorting mechanism.

[0073] In some examples, the process of detecting the operating status of the sorting mechanism may include the following steps:

[0074] Step b1, obtaining actual power parameters of the power components of the sorting mechanism during the process of sorting the materials to be sorted;

[0075] Step b2, detecting the operating state of the power component based on the comparison result between the actual power parameter and the target power parameter of the power component;

[0076] Step b3, if the operating state of the power component is abnormal, determining that the operating state of the sorting mechanism is abnormal;

[0077] Step b4, if the operating state of the power component is normal, obtaining the actual execution parameters of the execution component of the sorting mechanism during the material sorting process of the material to be sorted;

[0078] Step b5, determining the operating status of the sorting mechanism based on the comparison result between the actual execution parameters and the target execution parameters of the execution component.

[0079] Specifically, in the sorting mechanism, the power component is a key component that affects whether the sorting mechanism can operate effectively. Therefore, in order to determine the operation status of the power component, the actual power parameters of the power component are obtained during the sorting of the materials to be sorted by the sorting mechanism. For example, if the sorting mechanism is a blowing mechanism, the power component is an air compressor, and the actual power parameter is the actual pressure data of the air compressor. If the sorting mechanism is a push plate device, the power component is a drive motor, and the actual power parameters are the actual speed, actual torque, and actual power of the drive motor.

[0080] If the operating state of the power component is abnormal, it means that the abnormality of the power component causes the sorting mechanism to be unable to sort effectively, thereby affecting the material sorting. In addition, when the operating state of the power component is abnormal, the executive component of the sorting mechanism must be abnormal. Therefore, it can be directly determined that the operating state of the sorting mechanism is abnormal. Among them, the executive component is a component in the sorting equipment that is used to directly process the material. For example, taking the sorting mechanism as a blowing mechanism as an example, the executive component is the nozzle; taking the sorting mechanism as a push plate device as an example, the executive component is the push plate.

[0081] If the operating state of the power component is normal, it indicates that there is no problem with the power component, and it can be further determined whether the executive component of the sorting mechanism affects the material sorting, thereby obtaining the actual execution parameters of the executive component of the sorting mechanism in the process of sorting the materials to be sorted. Based on the comparison results between the actual execution parameters and the target execution parameters of the executive component, the operating state of the sorting mechanism is determined. For example, if the actual execution parameters are different from the target execution parameters, it can be determined that the operating state of the sorting mechanism is abnormal. If the actual execution parameters are the same as the target execution parameters, it can be determined that the operating state of the sorting mechanism is normal.

[0082] Step S314: if the operating state of the sorting mechanism is abnormal, the sorting mechanism is determined to be an abnormal mechanism.

[0083] If the operating state of the sorting mechanism is abnormal, it indicates that the cause of the abnormal material sorting is due to the sorting mechanism, and the sorting mechanism is then determined to be an abnormal mechanism.

[0084] Step S315: If the operating status of the sorting mechanism is normal, the operating status of the image acquisition mechanism is detected.

[0085] If the operating status of the sorting mechanism is normal, it indicates that the cause of the abnormal material sorting is not caused by the sorting mechanism. Therefore, it is necessary to further detect the mechanism with a small impact on material sorting. Since the image acquisition mechanism is mainly used to collect image information of materials to provide a data basis for subsequent material processing and identification, it is more used for information collection. Therefore, when it is determined that the operating status of the material transmission mechanism and the sorting mechanism are both normal, the operating status of the image acquisition mechanism is detected to determine whether the operating status of the image acquisition mechanism is normal and whether the material sorting is abnormal due to the image acquisition mechanism.

[0086] In some examples, the process of detecting the operating status of the image acquisition mechanism may include the following steps:

[0087] Step c1, obtaining actual radiation source parameters and actual imaging parameters of the image acquisition mechanism during the process of sorting the materials to be sorted;

[0088] Step c2, based on the comparison results between the actual radiation source parameters and the corresponding target radiation source parameters, and the comparison results between the actual imaging parameters and the corresponding target imaging parameters, the operating status of the image acquisition mechanism is detected, and the image acquisition mechanism includes an X-ray imaging mechanism and / or a visible light imaging mechanism.

[0089] Specifically, the types of actual radiation source parameters and actual imaging parameters depend on the corresponding image acquisition mechanism. If the image acquisition mechanism is an X-ray imaging mechanism, the actual radiation source parameters are actual X-ray source parameters, and the actual imaging parameters are actual X-ray detector parameters. The actual X-ray source parameters may include, but are not limited to, actual voltage, actual current, actual temperature, and other parameters when the X-ray source is acquired. The actual X-ray detector parameters may be the actual gain of the X-ray detector.

[0090] If the image acquisition mechanism is a visible light imaging mechanism, the actual radiation source parameters are actual visible light source parameters, and the actual imaging parameters are actual camera parameters. The actual visible light source parameters may include, but are not limited to, actual voltage, actual current, actual temperature, and other parameters when the visible light source is acquired. The actual camera parameters may be actual gain of the camera, actual exposure time, and the like.

[0091] Based on the comparison results between the actual radiation source parameters and the corresponding target radiation source parameters, as well as the comparison results between the actual imaging parameters and the corresponding target imaging parameters, it is possible to determine whether there are abnormalities in the radiation source acquisition process and the image acquisition process, respectively, and then clarify the operating status of the image acquisition mechanism.

[0092] Step S316: if the operating state of the image acquisition mechanism is abnormal, determine that the image acquisition mechanism is an abnormal mechanism.

[0093] If the operating state of the image acquisition mechanism is abnormal, it indicates that the cause of the abnormal material sorting is due to the image acquisition mechanism, and the image acquisition mechanism is determined to be an abnormal mechanism.

[0094] Step S317: If the operating status of the image acquisition mechanism is normal, it is determined that there is no abnormal mechanism in the material sorting equipment.

[0095] If the operating status of the image acquisition mechanism is normal, it means that during the material sorting process, each mechanism in the material sorting equipment is in a normal operating state and has no impact on the material sorting effect. It can be determined that there is no abnormal mechanism in the material sorting equipment.

[0096] By determining the abnormal mechanism in the above manner, the efficiency of problem location can be improved, so that the cause of the abnormal material sorting situation can be determined in time, which in turn helps to improve the maintenance efficiency of the material sorting equipment and ensure the reliability and stability of the material sorting equipment in sorting materials.

[0097] In some other embodiments, the above step 310 may include the following steps:

[0098] Step d1, obtaining actual transport parameters of the mechanism during the process of sorting the materials to be sorted;

[0099] Step d2, based on the comparison result of the actual transport parameter and the corresponding target transport parameter, detecting the operation status of the mechanism;

[0100] Step d3, if the operating state of the mechanism is abnormal, determining the mechanism as an abnormal mechanism in the material sorting equipment;

[0101] Step d4: If the operating status of the mechanism is normal, the next mechanism is tested until the abnormal mechanism in the material sorting equipment is determined or the last mechanism is tested.

[0102] Specifically, when there are multiple mechanisms in the material sorting equipment, the detection order of each mechanism is determined in advance based on the degree of influence of each mechanism on the material sorting. Then, when it is determined that the material sorting situation is abnormal, each mechanism is detected in sequence to determine the abnormal mechanism in the material sorting equipment.

[0103] For any mechanism in the material sorting equipment, obtain its actual transportation parameters when the material sorting equipment is sorting the materials to be sorted, and then compare the obtained actual transportation parameters with the corresponding expected target transportation parameters to determine the comparison results, and then detect the operating status of the mechanism based on the comparison results of the two. If the operating status of the mechanism is abnormal, it can be determined that the mechanism is an abnormal mechanism in the material sorting equipment, and it needs to be adjusted in a targeted manner later. If the operating status of the mechanism is normal, it indicates that the mechanism has no impact on the abnormal material sorting situation, and then the next mechanism is tested until the abnormal mechanism in the material sorting equipment is determined or the last mechanism is tested to avoid missed detection.

[0104] Step 320: If it is determined that an abnormal mechanism exists in the material sorting equipment, the abnormal mechanism in the material sorting equipment is adjusted online.

[0105] If it is determined that there is an abnormal mechanism in the material sorting equipment, it can be determined that the cause of the abnormal material sorting is due to the abnormal mechanism, and then the abnormal mechanism is adjusted online so that it can quickly return to normal without human intervention, reducing the impact on subsequent material classification.

[0106] In some examples, when it is determined that the material transmission mechanism is an abnormal mechanism, the present disclosure may further include the following steps:

[0107] Step e1, if the absolute value of the difference between the actual transport direction and the corresponding target transport direction is greater than a first threshold, then based on the absolute value of the difference between the actual transport direction and the target transport direction, adjusting the sorting mechanism so that the material sorting condition is normal; and / or

[0108] Step e2: If it is determined based on the actual damage information that the material transmission mechanism is abnormal, a first alarm notification is sent to prompt that the material transmission mechanism is abnormal.

[0109] Specifically, the first threshold value can be understood as the maximum directional deviation that can autonomously adjust the transport direction. If the absolute value of the difference between the actual transport direction and the corresponding expected target transport direction is greater than the first threshold value, it indicates that the material sorting situation cannot be effectively improved by adjusting the material transmission mechanism online. Therefore, in order to reduce the number of shutdowns of the material transmission equipment, the material sorting situation can be improved by adjusting the sorting mechanism, so that the adjusted sorting mechanism can cooperate with the current actual transport direction and sort the material into the correct drop area, thereby ensuring the material sorting quality of the material sorting equipment without human intervention. Among them, the process of adjusting the sorting mechanism may include but is not limited to any one or more of the following parameters: sorting direction, sorting timing, target power parameters of the power component, target execution parameters of the execution component, etc.

[0110] In one example, if the absolute value of the difference between the actual transport direction and the corresponding target transport direction is less than or equal to a first threshold, the actual transport direction can be adjusted to be consistent with the target transport direction through autonomous adjustment, thereby reducing the impact of the transport body on the material sorting situation.

[0111] If the material transmission mechanism is determined to be abnormal based on the actual damage information, it means that the material transmission mechanism itself is severely damaged and cannot be maintained through online debugging of the equipment. Therefore, a first alarm notification is sent to prompt that there is an abnormality in the material transmission mechanism, so that relevant personnel can perform targeted maintenance on the material transmission equipment in a timely manner according to the first alarm notification to reduce production losses.

[0112] In other embodiments, Figure 3 As shown, when it is determined that the material sorting situation is abnormal, the method of online determining and adjusting the abnormal mechanism in the material sorting equipment also includes:

[0113] Step 330: If it is determined that there is no abnormal mechanism in the material sorting equipment, a second alarm notification is sent to indicate that the material sorting situation is abnormal.

[0114] If it is determined that there is no abnormal mechanism in the material sorting equipment, it means that during the material sorting process, all mechanisms in the material sorting equipment are in normal operation. However, since all mechanisms are normal, and there is an abnormality in the material sorting situation, this situation may not be able to be restored by the material sorting equipment itself through maintenance. Therefore, a second alarm notification is sent to prompt that the material sorting situation is abnormal, so that relevant personnel can know that there is an abnormality in the material sorting equipment during the material sorting process according to the second alarm notification, and timely maintain and process the software algorithm level of the material sorting equipment to ensure the reliability and stability of the material sorting equipment and reduce production losses.

[0115] In some optional implementation scenarios, taking the material detection mechanism as a belt transmission mechanism as an example, the process of detecting the material detection mechanism and adjusting it can be as follows: Figure 5 As shown: obtaining the running image of the belt transmission mechanism in the process of sorting the materials to be sorted; analyzing the running image to determine the actual transportation direction and actual damage information of the belt; determining the actual material transmission speed of the belt transmission mechanism in the process of sorting the materials to be sorted. If the comparison result between the actual material transmission speed and the corresponding target material transmission speed indicates an abnormality, the motor parameters are adjusted. If the comparison result between the actual transportation direction and the corresponding target transportation direction indicates an abnormality, the rotating shaft of the belt is controlled to adjust the actual transmission position of the belt so that the actual transmission position can be consistent with the target transportation direction. If the actual damage information indicates an abnormality, a first alarm notification is sent.

[0116] In some other optional implementation scenarios, taking the sorting mechanism as a blowing mechanism as an example, the process of detecting and adjusting the blowing mechanism can be as follows: Figure 6 As shown: the actual pressure parameter of the air compressor of the injection mechanism during the material sorting process of the material to be sorted is obtained; if the comparison result between the actual pressure parameter and the corresponding target power parameter indicates an abnormality, the actual pressure parameter is adjusted based on the adjustment target power parameter so that the actual pressure parameter can reach the target pressure parameter. If the comparison result between the actual pressure parameter and the corresponding target power parameter indicates normal, the actual execution parameter of the nozzle is determined. If the comparison result between the actual execution parameter and the corresponding target execution parameter indicates an abnormality, the actual execution parameter is adjusted based on the target execution parameter so that the actual execution parameter can reach the target execution parameter.

[0117] In some other optional implementation scenarios, taking the image acquisition mechanism as an X-ray imaging mechanism and a visible light imaging mechanism as an example, the process of detecting the image acquisition mechanism and adjusting it can be as follows: Figure 7 As shown: the actual X-ray parameters and the actual imaging parameters corresponding to the X-ray imaging mechanism, and the actual X-ray parameters and the actual imaging parameters corresponding to the visible light imaging mechanism are obtained respectively. If the comparison result between the actual radiation source parameters corresponding to the X-ray imaging mechanism and the corresponding target radiation source parameters indicates an abnormality, and / or the comparison result between the actual imaging parameters corresponding to the X-ray imaging mechanism and the corresponding target imaging parameters indicates an abnormality, the actual X-ray parameters and / or the actual imaging parameters corresponding to the X-ray imaging mechanism are adjusted online. Similarly, if the comparison result between the actual visible light parameters corresponding to the visible light imaging mechanism and the corresponding target visible light parameters indicates an abnormality, and / or the comparison result between the actual imaging parameters corresponding to the visible light imaging mechanism and the corresponding target imaging parameters indicates an abnormality, the actual visible light parameters and / or the actual imaging parameters corresponding to the visible light imaging mechanism are adjusted online.

[0118] In some other embodiments, in order to facilitate subsequent targeted maintenance of the material sorting equipment, when it is determined that there is an abnormality in the material sorting situation, each abnormal event and online automatic maintenance event is recorded so that subsequent relevant personnel can clarify the operating status of the material sorting equipment based on the recorded logs, so as to perform targeted maintenance and improve the performance of the material sorting equipment.

[0119] In some optional application scenarios, taking the material sorting equipment as an ore sorting equipment as an example, the process of executing equipment control through the ore sorting equipment may be as follows:

[0120] The ore test grade of the ore to be sorted and the sorting test grade of the corresponding sorting result are determined by the blowing device, and the actual ore grade of the ore to be sorted and the actual sorting grade of the corresponding sorting result are determined by the grade analysis mechanism (for example, X-ray fluorescence analyzer). The ore test grade is compared with the actual ore grade to determine whether the ore test grade is abnormal. If the ore test grade is abnormal, the test grade detection algorithm is adjusted based on the actual ore grade to make the ore test grade normal.

[0121] If the ore detection grade is normal, the sorting detection grade is compared with the actual sorting grade to determine whether the sorting detection grade is abnormal. If the sorting detection grade is normal, the detection is terminated. If the sorting detection grade is abnormal, the operating status of the belt transmission mechanism is detected. If the operating status of the belt transmission mechanism is abnormal, the belt transmission mechanism is adjusted online, or a first alarm notification is sent. If the operating status of the belt transmission mechanism is normal, the operating status of the blowing mechanism is detected. If the operating status of the blowing mechanism is abnormal, the blowing mechanism is adjusted online, or an alarm notification is sent. If the operating status of the blowing mechanism is normal, the operating status of the image acquisition mechanism is detected. If the operating status of the image acquisition mechanism is abnormal, the image acquisition mechanism is adjusted online, or an alarm notification is sent. If the operating status of the image acquisition mechanism is normal, a second alarm notification is sent.

[0122] Based on the same inventive concept, the present disclosure also provides a material sorting device. Figure 8 As shown, the material sorting equipment 400 may include: a material transmission mechanism 410 , an image acquisition mechanism 420 , a sorting mechanism 430 , a grade analysis mechanism 440 , and an abnormality detection mechanism 450 .

[0123] A material transmission mechanism 410, used for transmitting the material to be sorted;

[0124] An image acquisition mechanism 420 is used to acquire images of the materials to be sorted during the sorting process;

[0125] The sorting mechanism 430 is used to detect the original grade of each material in the materials to be sorted based on the image, determine the material detection grade of the materials to be sorted, sort the materials to be sorted, and determine the sorting detection grade of the materials to be sorted corresponding to the sorting results;

[0126] A grade analysis mechanism 440, used to determine the actual material grade of the material to be sorted and the actual sorting grade of the sorting result; in some application scenarios, the grade analysis mechanism may be an X-ray fluorescence analyzer;

[0127] The abnormality detection mechanism 450 is used to determine the material sorting situation based on a first comparison result between the material detection grade and the actual material grade, and / or a second comparison result between the sorting detection grade and the actual sorting grade; and to determine and adjust the abnormal mechanism in the material sorting equipment online if the material sorting situation is abnormal, so as to restore the material sorting situation to normal.

[0128] Regarding the material sorting equipment in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0129] Based on the same inventive concept, the present disclosure also provides a computer-readable storage medium, which stores the following program, and the program is used to execute the material sorting equipment of any of the aforementioned embodiments.

[0130] The present disclosure uses specific words to describe the embodiments of the present disclosure. For example, "one embodiment", "an embodiment", and / or "some embodiments" refer to a certain feature, structure or characteristic related to at least one embodiment of the present disclosure. Therefore, it should be emphasized and noted that "one embodiment" or "an embodiment" or "an alternative embodiment" mentioned twice or more in different locations in this specification does not necessarily refer to the same embodiment. In addition, certain features, structures or characteristics in one or more embodiments of the present disclosure may be appropriately combined.

[0131] In the context of the present disclosure, unless the context clearly indicates an exception, the words "a", "an", "a kind" and / or "the" do not refer to the singular, but may also include the plural. Generally speaking, the terms "include" and "comprise" only indicate the inclusion of the steps and elements that have been clearly identified, and these steps and elements do not constitute an exclusive list, and the method or device may also include other steps or elements.

[0132] Similarly, it should be noted that in order to simplify the description of the disclosure and thus help understand one or more application embodiments, in the above description of the embodiments of the disclosure, multiple features are sometimes combined into one embodiment, figure or description thereof. However, this disclosure method does not mean that the features required by the object of the disclosure are more than the features required for protection. In fact, the features of the embodiment are less than all the features of the single embodiment disclosed above.

[0133] The basic concepts have been described above. Obviously, for those skilled in the art, the above disclosure is only an example and does not constitute a limitation of the present disclosure. Although not explicitly stated herein, those skilled in the art may make various modifications, improvements and corrections to the present disclosure. Such modifications, improvements and corrections are suggested in the present disclosure, so such modifications, improvements and corrections still belong to the spirit and scope of the embodiments of the present disclosure.

Claims

1. A device control method, characterized in that: Applied to material sorting equipment, including a material transmission mechanism, a sorting mechanism and an image acquisition mechanism, the method comprises: In the process of sorting the materials to be sorted, respectively detecting the original grade of each material in the materials to be sorted, determining the material detection grade of the materials to be sorted, and determining the sorting detection grade of the materials to be sorted corresponding to the sorting result; Respectively determining the actual material grade of the material to be sorted and the actual sorting grade of the sorting result; Determine the material sorting situation based on a first comparison result between the material detection grade and the actual material grade, and / or a second comparison result between the sorting detection grade and the actual sorting grade; If the material sorting condition is abnormal, then online determining and adjusting the abnormal mechanism in the material sorting device, including: based on the influence of multiple mechanisms in the material sorting device on material sorting, sequentially detecting at least one of the mechanisms; including: detecting the operating state of the material transmission mechanism; If the operating state of the material transmission mechanism is abnormal, determining that the material transmission mechanism is an abnormal mechanism; If the operating state of the material conveying mechanism is normal, then detecting the operating state of the sorting mechanism; If the operating state of the sorting mechanism is abnormal, determining that the sorting mechanism is an abnormal mechanism; If the operating state of the sorting mechanism is normal, detecting the operating state of the image acquisition mechanism; including: Acquiring actual radiation source parameters and actual imaging parameters of the image acquisition mechanism in the process of sorting the materials to be sorted; detecting the operating state of the image acquisition mechanism based on the comparison results between the actual radiation source parameters and the corresponding target radiation source parameters, and the comparison results between the actual imaging parameters and the corresponding target imaging parameters, wherein the image acquisition mechanism includes an X-ray imaging mechanism and / or a visible light imaging mechanism; If the operating state of the image acquisition mechanism is abnormal, determining that the image acquisition mechanism is an abnormal mechanism; If the operating state of the image acquisition mechanism is normal, it is determined that there is no abnormal mechanism in the material sorting device; If it is determined that an abnormal mechanism exists in the material sorting equipment, the abnormal mechanism in the material sorting equipment is adjusted online to restore the material sorting condition to normal.

2. The device control method according to claim 1, characterized in that: The detecting the operating state of the material transmission mechanism includes: Acquire an operation image of the material conveying mechanism during the process of sorting the material to be sorted; Analyze the operation image to determine the actual transport direction and actual damage information of the material transport mechanism; Determining an actual material conveying speed of the material conveying mechanism during the material sorting process of the material to be sorted; Based on the comparison result between the actual transport direction and the corresponding target transport direction, the comparison result between the actual material transmission speed and the corresponding target material transmission speed, and the actual damage information, the operating status of the material transmission mechanism is detected.

3. The device control method according to claim 2, characterized in that: The method further comprises: If the absolute value of the difference between the actual transport direction and the corresponding target transport direction is greater than a first threshold, then based on the absolute value of the difference between the actual transport direction and the target transport direction, adjusting the sorting mechanism so that the material sorting condition is normal; and / or If it is determined based on the actual damage information that the material transmission mechanism is abnormal, a first alarm notification is sent to prompt that the material transmission mechanism is abnormal.

4. The device control method according to claim 1, characterized in that: The detecting the operating state of the sorting mechanism comprises: predicting the operating status of the sorting mechanism; If it is predicted that the time duration of the sorting mechanism being in the idle state is greater than or equal to the preset time duration, then obtaining actual power parameters of the power components of the sorting mechanism during the process of sorting the material to be sorted; detecting the operating state of the power component based on a comparison result between the actual power parameter and the target power parameter of the power component; If the operating state of the power component is abnormal, it is determined that the operating state of the sorting mechanism is abnormal; If the operating state of the power component is normal, then obtaining actual execution parameters of the execution component of the sorting mechanism during the process of sorting the material to be sorted; Based on the comparison result between the actual execution parameter and the target execution parameter of the execution component, the operation status of the sorting mechanism is determined.

5. The device control method according to any one of claims 1 to 4, characterized in that: The online determination and adjustment of abnormal mechanisms in the material sorting equipment also includes: If it is determined that there is no abnormal mechanism in the material sorting equipment, a second alarm notification is sent to prompt that the material sorting situation is abnormal.

6. A material sorting device, characterized in that: The device control method for executing any one of claims 1 to 5 comprises: a material transmission mechanism, an image acquisition mechanism, a sorting mechanism, a grade analysis mechanism and an abnormality detection mechanism; The material transmission mechanism is used to transmit the material to be sorted; The image acquisition mechanism is used to acquire images of the material to be sorted during the sorting process; The sorting mechanism is used to detect the original grade of each material in the materials to be sorted based on the image, determine the material detection grade of the materials to be sorted, sort the materials to be sorted, and determine the sorting detection grade of the materials to be sorted corresponding to the sorting result; The grade analysis mechanism is used to respectively determine the actual material grade of the material to be sorted and the actual sorting grade of the sorting result; The abnormality detection mechanism is used to determine the material sorting condition based on a first comparison result between the material detection grade and the actual material grade, and / or a second comparison result between the sorting detection grade and the actual sorting grade; and to determine and adjust the abnormal mechanism in the material sorting equipment online if the material sorting condition is abnormal, so as to restore the material sorting condition to normal.

7. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores the following program, which is used to execute the device control method according to any one of claims 1 to 5.

Images