Intelligent conveying state monitoring method and system for smelting rare earth

Abstract

The invention relates to the technical field of general control systems, in particular to an intelligent conveying state monitoring method and system for smelting rare earth. According to the method, conveying equipment abnormity analysis under magnetic interference is carried out based on the equipment operation stability evaluation result and the magnetic data of the conveyed rare earth, finally, conveying state analysis is carried out through the rare earth conveying efficiency evaluation result and the equipment operation abnormity evaluation result, and the accuracy of matching analysis of the rare earth particles and the conveying assembly is improved.

Description

Technical Field

[0001] The present invention relates to the general field of control system technology, and in particular to a method and system for monitoring the intelligent transportation status of smelting rare earth. Background Art

[0002] Rare earth is a special group of metal elements, including 17 elements in total. These elements have special magnetic and optical properties due to their unique electronic structure. Rare earth elements are widely used in many high-tech fields due to their excellent physical and chemical properties. For example, they can be used to make strong permanent magnets, catalysts, magnetic materials, fluorescent materials, laser materials, superconducting materials, etc., which plays a vital role in the development of modern science and technology. In industry, rare earth elements can improve the properties of alloys and are used to make special steels, aluminum alloys, magnesium alloys, etc.

[0003] The intelligent transportation status monitoring method for smelting rare earth mainly utilizes modern information technology and automatic control technology to monitor and manage the transportation link of rare earth metals in real time. The existing technology installs various sensors on the conveying line of rare earth metal smelting, such as temperature sensors, pressure sensors, flow sensors, displacement sensors, etc., to collect various parameters in the transportation process in real time to monitor the safety of the transportation process. However, the magnetism of rare earth will have a negative impact on the transportation status. At the same time, the existing technology cannot analyze the matching of rare earth particles and conveying components based on the characteristics of rare earth transportation, resulting in the inability to perform abnormal analysis of conveying equipment under magnetic interference based on the equipment operation stability evaluation results and the magnetic data of the transported rare earth, which reduces the accuracy of the matching analysis of rare earth particles and conveying components.

[0004] In order to solve these problems, the present application designs a method and system for monitoring the intelligent transportation status of rare earth smelting. Summary of the invention

[0005] In order to overcome the defects and shortcomings of the prior art, the present invention provides a method and system for monitoring the intelligent transportation status of smelting rare earths. Based on the characteristics of rare earth transportation, the matching of rare earth particles and transportation components is analyzed, and based on the equipment operation stability evaluation results and the magnetic data of the transported rare earths, the abnormality analysis of the transportation equipment under magnetic interference is performed. Finally, the transportation status analysis is performed based on the rare earth transportation efficiency evaluation results and the equipment operation abnormality evaluation results, thereby improving the accuracy of the matching analysis of rare earth particles and transportation components.

[0006] In order to achieve the above object, the present invention adopts the following technical solutions:

[0007] In a first aspect, the present invention provides a method for monitoring the intelligent transportation status of smelting rare earth, comprising the following steps:

[0008] S1, obtaining rare earth particle image data, magnetic data of transported rare earth and equipment operation data;

[0009] S2, evaluating the rare earth conveying efficiency based on the rare earth particle image data and the smooth state of the conveying components of the conveying equipment;

[0010] S3. Evaluate the equipment operation stability based on the equipment control operation data;

[0011] S4. Evaluate the abnormal operation of the equipment during the transportation of rare earth based on the equipment operation stability evaluation results and the magnetic data of the transported rare earth;

[0012] S5. Analyze the transportation status based on the rare earth transportation efficiency evaluation results and the equipment operation abnormality evaluation results;

[0013] S6. Issue an abnormal transportation warning based on the transportation status analysis results.

[0014] In one implementation of the present invention, obtaining rare earth particle image data, magnetic data of transported rare earth, and equipment operation data in step S1 includes the following specific steps:

[0015] S11, acquiring image data of rare earth particles to be transported through an image acquisition terminal, separating the rare earth particles from the background image to acquire contour data of the rare earth particles in the image, and storing the data in a contour storage component;

[0016] S12, obtaining magnetic field size data of the rare earth to be transported through a magnetic data acquisition terminal, and storing the data in a magnetic field size storage component;

[0017] S13. Collecting equipment operation data through the equipment operation collection terminal, wherein the equipment operation data includes equipment control instruction execution data, conveying process vibration data and equipment transmission component surface wear data, and is stored in the equipment operation data storage component.

[0018] In one implementation of the present invention, the rare earth transport efficiency is evaluated based on the rare earth particle image data and the smooth state of the transport component of the transport device in step S2, including the following specific steps:

[0019] S21, obtaining rare earth particle contour data, analyzing the roundness of each rare earth particle based on the rare earth particle contour data, and obtaining the conveying difficulty based on the weighted sum of the average value and uniformity of the roundness of the rare earth particles; comprising the following specific steps:

[0020] S211, acquiring rare earth particle contour data, and analyzing the roundness of each rare earth particle based on the rare earth particle contour data;

[0021] S212, averaging the roundness of all rare earth particles to obtain an average roundness value of the rare earth particles, and substituting the roundness of all rare earth particles into a uniformity calculation formula to obtain the uniformity of the rare earth particles, and performing a weighted summation of the average roundness value of the rare earth particles and the uniformity of the rare earth particles to obtain the transportation difficulty;

[0022] S22, analyzing the smoothness of the surface conveying component based on the wear data of the surface of the equipment transmission component, obtaining the relative height data of each point on the surface of the equipment transmission component, and obtaining the smoothness of the surface conveying component based on the inverse of the standard deviation of the relative height data of each point on the surface of the equipment transmission component. The smoother the surface of the conveying component, the easier it is for the rare earth particles to roll off the conveying module. Therefore, the smoothness of the surface conveying component and the conveying difficulty are used to comprehensively analyze the conveying efficiency of the conveying component.

[0023] S23, obtaining the conveying efficiency of the conveying component by taking the inverse of the weighted sum of the conveying difficulty and the smoothness of the surface conveying component.

[0024] In one implementation of the present invention, the step S3 of evaluating the operation stability of the equipment based on the control operation data of the equipment includes the following specific steps:

[0025] S31, extracting the equipment control instruction execution data of the conveying drive component during the test, and simultaneously obtaining the vibration data of the surface conveying component during the operation;

[0026] S32, based on the equipment control instruction execution data of the conveying drive component, the instruction execution volatility abnormality analysis is performed, wherein the instruction execution volatility abnormality analysis formula is: , where T is the test duration of the conveying drive component, ft is the speed of the drive component after the speed control instruction at time t, ftm is the standard speed corresponding to the speed control instruction at time t, and dt is the time integral;

[0027] S33, performing vibration abnormality analysis of the surface conveying assembly based on the vibration data of the surface conveying assembly during operation;

[0028] S34. The equipment operation stability evaluation result is obtained by taking the inverse of the weighted sum of the instruction execution volatility anomaly analysis result and the surface conveying component vibration anomaly analysis result, so as to analyze the equipment operation stability and the surface conveying component stability to transport rare earths during the conveying process.

[0029] In one implementation of the present invention, the abnormal operation evaluation of the equipment during the transportation of rare earth based on the equipment operation stability evaluation result and the magnetic data of the transported rare earth in step S4 includes the following specific steps:

[0030] S41. Obtaining magnetic data of the transported rare earth, and analyzing electromagnetic interference anomalies based on the magnetic data of the transported rare earth. Rare earth permanent magnet materials (such as neodymium iron boron) have high magnetic permeability and remanence, and can generate a strong magnetic field in the motor. This strong magnetic field may generate electromagnetic interference (EMI) to nearby electronic equipment, affecting the normal operation of the equipment;

[0031] S42. Obtain the electromagnetic interference anomaly and equipment operation stability evaluation results to evaluate the equipment operation anomaly during the transportation of rare earths, so as to comprehensively evaluate the equipment anomaly during the transportation of rare earths through the negative impact of the rare earth magnetic field on the equipment stability.

[0032] In one implementation of the present invention, the transport state analysis is performed based on the rare earth transport efficiency evaluation result and the equipment operation abnormality evaluation result in step S5, including the following specific contents:

[0033] S51, obtaining the equipment operation abnormality evaluation results and the transportation efficiency evaluation results obtained by analysis during the transportation of rare earths;

[0034] S52. The inverse of the equipment operation abnormality evaluation result obtained by analysis during the transportation of rare earths is normalized with the transportation efficiency evaluation result, and then a weighted sum is performed to obtain a transportation status analysis value.

[0035] In one implementation of the present invention, the abnormality warning of transportation is performed based on the transportation status analysis result in step S6, including the following specific steps:

[0036] S61, obtaining the estimated transport state analysis value during the transport process;

[0037] S62. Preset a transport status analysis threshold. When the transport status analysis value during the transport process is greater than the transport status analysis threshold, it means that the corresponding transport equipment can transport rare earths normally. If the transport status analysis value during the transport process is less than or equal to the transport status analysis threshold, it means that the corresponding transport equipment cannot transport rare earths normally, and an early warning is issued to the staff to remind them that the transport equipment needs to be maintained or replaced.

[0038] In a second aspect, the present invention also provides a smelting rare earth intelligent transportation status monitoring system, comprising:

[0039] A data acquisition module, used to acquire rare earth particle image data, magnetic data of transported rare earth, and equipment operation data;

[0040] Rare earth transport efficiency analysis module, which evaluates the rare earth transport efficiency based on rare earth particle image data and the smoothness of the transport components of the transport equipment;

[0041] Operation stability assessment module, which assesses equipment operation stability based on equipment control operation data;

[0042] Equipment operation abnormality assessment module, which assesses equipment operation abnormality during rare earth transportation based on equipment operation stability assessment results and magnetic data of transported rare earths;

[0043] The transportation status analysis module performs transportation status analysis based on the rare earth transportation efficiency evaluation results and the equipment operation abnormality evaluation results;

[0044] The abnormal transportation warning module provides abnormal transportation warning based on the transportation status analysis results.

[0045] In a third aspect, the present invention provides an electronic device comprising: a processor and a memory, wherein the memory stores a computer program that can be called by the processor, and the processor executes a method for monitoring the intelligent transportation status of smelting rare earths by calling the computer program stored in the memory.

[0046] In a fourth aspect, the present invention provides a computer-readable storage medium storing instructions, which, when executed on a computer, enable the computer to execute a method for monitoring the intelligent transportation status of smelting rare earths.

[0047] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0048] The present invention evaluates the rare earth conveying efficiency based on rare earth particle image data and the smooth state of a conveying component of a conveying device, evaluates the equipment operation stability based on the equipment control operation data, evaluates the equipment operation abnormality during the conveying of rare earth based on the equipment operation stability evaluation result and the magnetic data of the conveyed rare earth, analyzes the conveying state based on the rare earth conveying efficiency evaluation result and the equipment operation abnormality evaluation result, performs conveying abnormality warning based on the conveying state analysis result, analyzes the matching of rare earth particles and conveying components based on the characteristics of rare earth conveying, analyzes the conveying equipment abnormality under magnetic interference based on the equipment operation stability evaluation result and the magnetic data of the conveyed rare earth, and finally analyzes the conveying state through the rare earth conveying efficiency evaluation result and the equipment operation abnormality evaluation result, thereby improving the accuracy of the matching analysis between rare earth particles and conveying components. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments made with reference to the following drawings:

[0050] Figure 1 It is a schematic diagram of the overall process of the method of the present invention;

[0051] Figure 2 is a work flow chart of step S2 in the method of the present invention;

[0052] Figure 3 is a work flow chart of step S3 in the method of the present invention;

[0053] Figure 4 It is a schematic diagram of the structure of the system of the present invention. DETAILED DESCRIPTION

[0054] The technical solution of the present invention is described in detail below through the accompanying drawings and specific embodiments. It should be understood that the embodiments of the present invention and the specific features in the embodiments are detailed descriptions of the technical solution of the present invention, rather than limitations on the technical solution of the present invention. The embodiments of the present invention and the technical features in the embodiments may be combined with each other unless there is a conflict.

[0055] Example 1

[0056] like Figure 1 , Figure 2 and Figure 3 As shown, this embodiment provides a method for monitoring the intelligent transportation status of smelting rare earth, which specifically includes the following steps:

[0057] S1, obtaining rare earth particle image data, magnetic data of transported rare earth and equipment operation data;

[0058] In this embodiment, obtaining rare earth particle image data, magnetic data of transported rare earth, and equipment operation data in step S1 includes the following specific steps:

[0059] S11. Acquire image data of rare earth particles to be transported through an image acquisition terminal, separate the rare earth particles from the background image to acquire contour data of the rare earth particles in the image, the specific steps are: use an optical microscope, a scanning electron microscope (SEM) or a laser confocal microscope and other equipment to take high-resolution images of the particles, pre-process the acquired images, including adjusting brightness and contrast, removing noise, binarization, etc., to clearly identify the contours of the particles, use the contour recognition algorithm in the image analysis software (such as ImageJ, MATLAB, etc.) to detect the edges of the particles, and store them in a contour storage component;

[0060] S12, obtaining magnetic field size data of the rare earth to be transported through a magnetic data acquisition terminal, and storing the data in a magnetic field size storage component;

[0061] S13, collecting equipment operation data through the equipment operation collection terminal, wherein the equipment operation data includes equipment control instruction execution data, conveying process vibration data and equipment transmission component surface wear data, and storing in the equipment operation data storage component;

[0062] S2, evaluating the rare earth conveying efficiency based on the rare earth particle image data and the smooth state of the conveying components of the conveying equipment;

[0063] In this embodiment, the rare earth transport efficiency is evaluated based on the rare earth particle image data and the smooth state of the transport component of the transport device in step S2, including the following specific steps:

[0064] S21, obtaining rare earth particle contour data, analyzing the roundness of each rare earth particle based on the rare earth particle contour data, and obtaining the conveying difficulty based on the weighted sum of the average value and uniformity of the roundness of the rare earth particles; comprising the following specific steps:

[0065] S211, obtaining rare earth particle contour data, and analyzing the roundness of each rare earth particle based on the rare earth particle contour data, wherein the roundness calculation formula of the i-th rare earth particle is: , where Ai is the surface area of ​​the rare earth particles, and Pi is the circumference of the rare earth particles. Here, the roundness of the rare earth is used to analyze whether the rare earth particles are easy to roll off the conveying module during the conveying process, resulting in low conveying efficiency. In actual operation, the viscosity and roughness of the rare earth particles can also be comprehensively analyzed to comprehensively analyze whether the rare earth particles are easy to roll off the conveying module;

[0066] S212, averaging the roundness of all rare earth particles to obtain an average roundness value of the rare earth particles, and substituting the roundness of all rare earth particles into a uniformity calculation formula to obtain the uniformity of the rare earth particles, wherein the uniformity can be the inverse of the calculated variance or standard deviation, and the weighted sum of the average roundness value of the rare earth particles and the uniformity of the rare earth particles is obtained to obtain the transportation difficulty;

[0067] S22, analyzing the smoothness of the surface conveying component based on the wear data of the surface of the equipment transmission component, obtaining the relative height data of each point on the surface of the equipment transmission component, and obtaining the smoothness of the surface conveying component based on the inverse of the standard deviation of the relative height data of each point on the surface of the equipment transmission component. The smoother the surface of the conveying component, the easier it is for the rare earth particles to roll off the conveying module. Therefore, the smoothness of the surface conveying component and the conveying difficulty are used to comprehensively analyze the conveying efficiency of the conveying component.

[0068] S23, obtaining the conveying efficiency of the conveying component by taking the inverse of the weighted sum of the conveying difficulty and the smoothness of the surface conveying component;

[0069] S3. Evaluate the equipment operation stability based on the equipment control operation data;

[0070] In this embodiment, the device operation stability evaluation is performed based on the control operation data of the device in step S3, including the following specific steps:

[0071] S31, extracting the equipment control instruction execution data of the conveying drive component during the test, and simultaneously obtaining the vibration data of the surface conveying component during the operation;

[0072] S32, based on the equipment control instruction execution data of the conveying drive component, the instruction execution volatility abnormality analysis is performed, wherein the instruction execution volatility abnormality analysis formula is: , where T is the test duration of the conveying drive component, ft is the speed of the drive component after the speed control instruction at time t, ftm is the standard speed corresponding to the speed control instruction at time t, and dt is the time integral;

[0073] S33, performing vibration anomaly analysis of the surface conveying assembly based on the vibration data of the surface conveying assembly during operation, wherein the vibration anomaly analysis of the surface conveying assembly is: , where Nt is the average vibration number of the surface conveying assembly at time t, Djt is the vibration amplitude of the jth vibration of the surface conveying assembly at time t, and Dm is the safe vibration amplitude of the surface conveying assembly;

[0074] S34, based on the weighted sum of the abnormal analysis results of the instruction execution volatility and the abnormal analysis results of the vibration of the surface conveying component, the inverse is calculated to obtain the equipment operation stability evaluation result, so that the transportation stability of the equipment to the rare earth during the transportation process is analyzed through the stability of the equipment operation and the stability of the surface conveying component;

[0075] S4. Evaluate the abnormal operation of the equipment during the transportation of rare earth based on the equipment operation stability evaluation results and the magnetic data of the transported rare earth;

[0076] In this embodiment, the abnormal operation evaluation of the equipment during the transportation of rare earth based on the equipment operation stability evaluation result and the magnetic data of the transported rare earth in step S4 includes the following specific steps:

[0077] S41, obtaining magnetic data of the transported rare earth, and analyzing electromagnetic interference anomaly based on the magnetic data of the transported rare earth, wherein the electromagnetic interference anomaly calculation formula is: , where Hk is the magnetic field strength of rare earth, and Hm is the safe value of magnetic field strength for stable operation of conveying equipment; rare earth permanent magnet materials (such as neodymium iron boron) have high magnetic permeability and remanence, and can generate a strong magnetic field in the motor. This strong magnetic field may cause electromagnetic interference (EMI) to nearby electronic equipment, affecting the normal operation of the equipment;

[0078] S42. Obtain the obtained electromagnetic interference anomaly and equipment operation stability evaluation results to evaluate the equipment operation anomaly during the transportation of rare earths, wherein the equipment operation anomaly evaluation formula during the transportation of rare earths is: , where a is the impact factor of instruction execution volatility, It is the electromagnetic interference influencing factor, so the negative impact of the rare earth magnetic field on the equipment stability is used to comprehensively evaluate the equipment abnormality during the rare earth transportation process;

[0079] S5. Analyze the transportation status based on the rare earth transportation efficiency evaluation results and the equipment operation abnormality evaluation results;

[0080] In this embodiment, the transport state analysis is performed based on the rare earth transport efficiency evaluation result and the equipment operation abnormality evaluation result in step S5, including the following specific contents:

[0081] S51, obtaining the equipment operation abnormality evaluation results and the transportation efficiency evaluation results obtained by analysis during the transportation of rare earths;

[0082] S52, obtaining a transport state analysis value by normalizing the inverse of the equipment operation abnormality evaluation result obtained by analyzing the transport efficiency evaluation result during the transport of rare earths and performing weighted summation;

[0083] S6. Produce an abnormal transportation warning based on the transportation status analysis results;

[0084] In this embodiment, the abnormality warning of transportation is performed based on the transportation status analysis result in step S6, including the following specific steps:

[0085] S61, obtaining the estimated transport state analysis value during the transport process;

[0086] S62, preset a conveying state analysis threshold value, when the conveying state analysis value during the conveying process is greater than the conveying state analysis threshold value, it indicates that the corresponding conveying equipment can normally convey the rare earth; if the conveying state analysis value during the conveying process is less than or equal to the conveying state analysis threshold value, it indicates that the corresponding conveying equipment cannot normally convey the rare earth, and an early warning is issued to the staff to remind them that the conveying equipment needs to be maintained or replaced;

[0087] It should be noted that the setting parameters (such as weights and thresholds) in this embodiment are obtained by experiments conducted by those skilled in the art. The specific experimental method is: obtaining rare earth particle image data, magnetic data of transported rare earths, and equipment operation data in multiple historical rare earth transportation processes, and substituting them into each step in this embodiment to evaluate the transport state analysis value, and at the same time obtaining the judgment result of whether the historical transport efficiency meets the transport requirements, and importing the judgment result of whether the historical transport efficiency meets the transport requirements and the evaluation result of the transport state analysis value into the fitting software for continuous fitting, so as to obtain the values ​​of the setting parameters (such as weights and thresholds) that meet the maximum contamination risk judgment accuracy.

[0088] It should be noted that the present embodiment has the following benefits: evaluating the rare earth conveying efficiency based on the rare earth particle image data and the smooth state of the conveying component of the conveying equipment, evaluating the equipment operation stability based on the equipment control operation data, evaluating the equipment operation abnormality during the conveying of rare earth based on the equipment operation stability evaluation results and the magnetic data of the conveyed rare earth, analyzing the conveying state based on the rare earth conveying efficiency evaluation results and the equipment operation abnormality evaluation results, giving a conveying abnormality warning based on the conveying state analysis results, analyzing the matching of rare earth particles and conveying components based on the characteristics of rare earth conveying, analyzing the conveying equipment abnormality under magnetic interference based on the equipment operation stability evaluation results and the magnetic data of the conveyed rare earth, and finally analyzing the conveying state through the rare earth conveying efficiency evaluation results and the equipment operation abnormality evaluation results, thereby improving the accuracy of the matching analysis of rare earth particles and conveying components.

[0089] Example 2

[0090] like Figure 4 As shown, this embodiment provides a smelting rare earth intelligent transportation status monitoring system, including:

[0091] A data acquisition module, used to acquire rare earth particle image data, magnetic data of transported rare earth, and equipment operation data;

[0092] Rare earth transport efficiency analysis module, which evaluates the rare earth transport efficiency based on rare earth particle image data and the smoothness of the transport components of the transport equipment;

[0093] Operation stability assessment module, which assesses equipment operation stability based on equipment control operation data;

[0094] Equipment operation abnormality assessment module, which assesses equipment operation abnormality during rare earth transportation based on equipment operation stability assessment results and magnetic data of transported rare earths;

[0095] The transportation status analysis module performs transportation status analysis based on the rare earth transportation efficiency evaluation results and the equipment operation abnormality evaluation results;

[0096] The abnormal transportation warning module provides abnormal transportation warning based on the transportation status analysis results.

[0097] The above-mentioned parameters and steps for each unit module to achieve corresponding functions in the intelligent transportation status monitoring system for smelting rare earths of the present invention can refer to the parameters and steps in the embodiment of the intelligent transportation status monitoring method for smelting rare earths above, and will not be repeated here.

[0098] Example 3

[0099] An electronic device according to an embodiment of the present invention includes: a processor and a memory, wherein the memory stores a computer program that can be called by the processor, and the processor executes the method for monitoring the state of intelligent transportation of smelting rare earth by calling the computer program stored in the memory. It should be noted that all computer programs of the method for monitoring the state of intelligent transportation of smelting rare earth are implemented in C language.

[0100] Example 4

[0101] This embodiment provides a computer-readable storage medium having a rewritable computer program stored thereon;

[0102] When the computer program runs on a computer device, the computer device executes the above-mentioned method for monitoring the intelligent transportation status of smelting rare earths.

[0103] Each embodiment of the present invention is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the IoT device and medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiments.

[0104] The system and medium provided in the embodiments of the present invention correspond one-to-one to the method, and therefore, the system and medium also have similar beneficial technical effects to the corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the system and medium will not be repeated here.

[0105] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0106] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0107] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0108] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0109] Memory may include non-permanent storage in a computer-readable medium, in the form of random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of a computer-readable medium.

[0110] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0111] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0112] The above are only embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent substitution, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.

Claims

1. A method for monitoring the intelligent transportation status of rare earth smelting, characterized in that: The steps include: Step S1, obtaining rare earth particle image data, magnetic data of transported rare earth and equipment operation data; Step S2, evaluating the rare earth transport efficiency based on the rare earth particle image data and the smooth state of the transport component of the transport device; Step S3, evaluating the equipment operation stability based on the equipment control operation data; Step S4, evaluating the abnormal operation of the equipment during the transportation of rare earth based on the equipment operation stability evaluation result and the magnetic data of the transported rare earth; Step S5, analyzing the transport status based on the rare earth transport efficiency evaluation results and the equipment operation abnormality evaluation results; Step S6: issuing a warning of abnormal transportation based on the transportation status analysis result.

2. The method for monitoring the state of smelting rare earth intelligent transportation according to claim 1 is characterized in that: In step S2, the rare earth transport efficiency is evaluated based on the rare earth particle image data and the smooth state of the transport component of the transport device, including the following specific steps: S21, obtaining rare earth particle contour data, analyzing the roundness of each rare earth particle based on the rare earth particle contour data, and obtaining the conveying difficulty based on the weighted sum of the average value and uniformity of the roundness of the rare earth particles; S22, analyzing the smoothness of the surface conveying component based on the wear data of the surface of the equipment conveying component, obtaining the relative height data of each point on the surface of the equipment conveying component, and obtaining the smoothness of the surface conveying component based on the inverse of the standard deviation of the relative height data of each point on the surface of the equipment conveying component; S23, obtaining the conveying efficiency of the conveying component by taking the inverse of the weighted sum of the conveying difficulty and the smoothness of the surface conveying component.

3. The method for monitoring the intelligent transportation status of smelting rare earth according to claim 2, characterized in that: In step S3, the equipment operation stability evaluation is performed based on the control operation data of the equipment, including the following specific steps: S31, extracting the equipment control instruction execution data of the conveying drive component during the test, and simultaneously obtaining the vibration data of the surface conveying component during the operation; S32, performing abnormal analysis of instruction execution fluctuation based on the equipment control instruction execution data of the conveying drive component; S33, performing vibration abnormality analysis of the surface conveying assembly based on the vibration data of the surface conveying assembly during operation; S34, based on the weighted sum of the command execution volatility anomaly analysis result and the surface conveying component vibration anomaly analysis result, calculate the inverse and obtain the equipment operation stability assessment result.

4. The method for monitoring the state of smelting rare earth intelligent transportation according to claim 3 is characterized in that: In step S4, the abnormal operation evaluation of the equipment during the transportation of rare earth based on the equipment operation stability evaluation result and the magnetic data of the transported rare earth includes the following specific steps: S41, acquiring magnetic data of the transported rare earth, and analyzing electromagnetic interference anomalies based on the magnetic data of the transported rare earth; S42. Obtain the electromagnetic interference anomaly and equipment operation stability assessment results to conduct equipment operation anomaly assessment during rare earth transportation.

5. The method for monitoring the state of smelting rare earth intelligent transportation according to claim 4 is characterized in that: In step S5, the transportation status analysis is performed based on the rare earth transportation efficiency evaluation result and the equipment operation abnormality evaluation result, including the following specific contents: S51, obtaining the equipment operation abnormality evaluation results and the transportation efficiency evaluation results obtained by analysis during the transportation of rare earths; S52. The inverse of the equipment operation abnormality evaluation result obtained by analysis during the transportation of rare earths is normalized with the transportation efficiency evaluation result, and then a weighted sum is performed to obtain a transportation status analysis value.

6. The method for monitoring the state of smelting rare earth intelligent transportation according to claim 5 is characterized in that: In step S6, an abnormal transportation warning is performed based on the transportation status analysis result, including the following specific steps: S61, obtaining the estimated transport state analysis value during the transport process; S62. Preset a transport status analysis threshold. When the transport status analysis value during the transport process is greater than the transport status analysis threshold, it means that the corresponding transport equipment can transport rare earths normally. If the transport status analysis value during the transport process is less than or equal to the transport status analysis threshold, it means that the corresponding transport equipment cannot transport rare earths normally, and an early warning is issued to the staff to remind them that the transport equipment needs to be maintained or replaced.

7. The method for monitoring the state of smelting rare earth intelligent transportation according to claim 6 is characterized in that: The method for obtaining the transport difficulty in step S21 includes the following specific steps: S211, acquiring rare earth particle contour data, and analyzing the roundness of each rare earth particle based on the rare earth particle contour data; S212. The average roundness value of the rare earth particles is obtained based on the average roundness of all rare earth particles. At the same time, the roundness of all rare earth particles is substituted into the uniformity calculation formula to obtain the uniformity of the rare earth particles. The transportation difficulty is obtained by weighted summing the average roundness value of the rare earth particles and the uniformity of the rare earth particles.

8. The method for monitoring the state of smelting rare earth intelligent transportation according to claim 7, characterized in that: Acquiring rare earth particle image data, magnetic data of transported rare earth, and equipment operation data in step S1 includes the following specific steps: S11, acquiring image data of rare earth particles to be transported through an image acquisition terminal, separating the rare earth particles from the background image to acquire contour data of the rare earth particles in the image, and storing the data in a contour storage component; S12, obtaining magnetic field size data of the rare earth to be transported through a magnetic data acquisition terminal, and storing the data in a magnetic field size storage component; S13. Collecting equipment operation data through the equipment operation collection terminal, wherein the equipment operation data includes equipment control instruction execution data, conveying process vibration data and equipment transmission component surface wear data, and is stored in the equipment operation data storage component.

9. A system for monitoring the state of intelligent transportation of rare earth smelting, which is implemented based on the method for monitoring the state of intelligent transportation of rare earth smelting according to any one of claims 1 to 8, characterized in that: The system comprises: A data acquisition module, used to acquire rare earth particle image data, magnetic data of transported rare earth, and equipment operation data; Rare earth transport efficiency analysis module, which evaluates the rare earth transport efficiency based on rare earth particle image data and the smoothness of the transport components of the transport equipment; Operation stability assessment module, which assesses equipment operation stability based on equipment control operation data; Equipment operation abnormality assessment module, which assesses equipment operation abnormality during rare earth transportation based on equipment operation stability assessment results and magnetic data of transported rare earths; The transportation status analysis module performs transportation status analysis based on the rare earth transportation efficiency evaluation results and the equipment operation abnormality evaluation results; The abnormal transportation warning module provides abnormal transportation warning based on the transportation status analysis results.

10. An electronic device comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; characterized in that the processor executes the method for monitoring the intelligent transportation status of smelting rare earths as described in any one of claims 1 to 8 by calling the computer program stored in the memory.

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