Stacker-reclaimer remote fault diagnosis method and system based on bus communication

Abstract

The invention discloses a remote fault diagnosis method and system for a stacker-reclaimer based on bus communication, and relates to the technical field of coal conveying systems.The remote fault diagnosis method comprises the steps that a sensor and a data acquisition device are installed on the stacker-reclaimer, and operation parameters of equipment are acquired in real time; data are transmitted to an auxiliary machine central control room in a Profibus bus communication mode, a fault diagnosis platform is built on a server of the auxiliary machine central control room, fault early warning and analysis are achieved, and fault information is provided. According to the remote fault diagnosis method for the stacker-reclaimer based on bus communication, the reliability of equipment is improved, the fault occurrence rate is reduced, and stable operation of a coal conveying system is guaranteed. Remote monitoring and fault diagnosis are realized, the labor cost is effectively reduced, and the working efficiency is improved. The fault elimination time is shortened, the influence of equipment shutdown on production is reduced to the maximum extent, and the overall operation efficiency of the system is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of coal transportation systems, and in particular to a remote fault diagnosis method and system for a stacker-reclaimer based on bus communication. Background Art

[0002] The circular coal yard stacker-reclaimer is a key equipment in the coal transportation system. It is responsible for both unloading and loading coal. Its operating status directly affects the stability and reliability of the entire system.

[0003] However, the stacker-reclaimer is controlled by PLC, and other equipment in the coal handling system is controlled by DCS. The stacker-reclaimer is isolated from the coal handling system, forming an information island. The operating personnel cannot accurately monitor the operating status of the equipment in real time, and it is difficult to find potential faults in real time, which may lead to delays and expansion of faults; when the stacker-reclaimer fails, it is difficult to provide information support for maintenance personnel, which prolongs the fault handling time; at the same time, fault diagnosis is highly dependent on experienced technicians, and there are human judgment errors, which seriously affect the normal operation of the equipment and reduce the efficiency of the entire system. Summary of the invention

[0004] In view of the above-mentioned problems, the present invention is proposed.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: a remote fault diagnosis method for a stacker-reclaimer based on bus communication, comprising:

[0006] By installing sensors and data acquisition devices on the stacker-reclaimer, the operating parameters of the equipment can be collected in real time;

[0007] The Profibus bus communication method is used to transmit data to the auxiliary machine control room, and a fault diagnosis platform is built on the auxiliary machine control room server to realize fault warning and analysis and provide fault information.

[0008] As a preferred solution of the remote fault diagnosis method of the stacker-reclaimer based on bus communication described in the present invention, wherein: the sensors include a current transformer and a voltage transformer of a scraper motor for reclaiming materials, a stacking material rotation angle encoder, a reclaiming material rotation angle encoder, and a reclaiming material pitch angle encoder;

[0009] The data acquisition device includes a pile material rotation frequency converter, a material retrieving rotation frequency converter, a material retrieving pitch frequency converter, and S7-300.

[0010] As a preferred solution of the remote fault diagnosis method of the stacker and reclaimer based on bus communication described in the present invention, the operating parameters include the current, voltage / circuit breaker and contactor status of the stacking rotating motor, the current, voltage / circuit breaker and contactor status of the reclaiming rotating motor, the current, voltage, circuit breaker and contactor status of the reclaiming pitching motor, the current, voltage, circuit breaker and contactor status of the reclaiming scraper motor, the current, voltage, circuit breaker and contactor status of the stacking belt motor, the data of the stacking rotation angle encoder, the reclaiming rotation angle encoder, the reclaiming pitching angle encoder, the material level data in front of the reclaiming scraper, the material level data in the middle of the reclaiming scraper, the material level data in the rear of the reclaiming scraper, the pull rope switch status, the tear switch status, the deviation switch status, and various action instructions.

[0011] As a preferred solution of the remote fault diagnosis method of the stacker and reclaimer based on bus communication described in the present invention, wherein: the Profibus bus communication method includes a stacker rotary frequency converter, a reclaimer rotary frequency converter, a reclaimer pitch frequency converter, Siemens S7-300, IM365, CP342-5, DP bus, OLM, optical fiber transceiver, DCS server, DCS engineer station, and DCS operator station;

[0012] The data transmission includes installing a Profibus-DP communication module CP342-5 on the stacker-reclaimer PLC rack to map the I / O virtual address and the actual PLC address. After the CP342-5 reads the CPU address data, it communicates with the DCS to realize the data transmission between the DCS and the stacker-reclaimer PLC.

[0013] A master-slave communication interconnection device is configured between the stacker-reclaimer PLC and DCS, with the stacker-reclaimer PLC as a substation and the DCS as a master station, using a client / server structure.

[0014] As a preferred solution of the remote fault diagnosis method of the stacker-reclaimer based on bus communication described in the present invention, wherein: the remote fault diagnosis platform is established on the DCS server, the platform displays the operating status of the stacker-reclaimer in real time, and has trend analysis and alarm functions;

[0015] The data is divided into different working conditions through the clustering model, and then the data is input into the fault diagnosis model of the corresponding working condition to determine the equipment operation status;

[0016] The historical data of the operating parameters are collected, and the DBSCAN model is used to classify the historical data into 9 categories. When the real-time data is transmitted, the data is classified into a certain working condition and then input into the fault diagnosis model of the corresponding working condition.

[0017] As a preferred solution of the stacker-reclaimer remote fault diagnosis method based on bus communication described in the present invention, wherein: the fault diagnosis model includes a machine learning diagnosis algorithm, collects historical data, trains a support vector machine model, predicts the data of the next 1 minute, compares the predicted value with the actual value, and judges it as normal if the error is within ±15%;

[0018] The statistical diagnosis algorithm compares the difference between current data and historical data to find abnormal data points. If the error is within ±15%, it is judged as normal, and the cause and location of the fault are determined by statistical methods;

[0019] The fault diagnosis model is trained according to working conditions. According to the 9 working conditions classified by the clustering model, the fault diagnosis model is divided into 9 types, and the operation data of different working conditions are judged using different fault diagnosis models;

[0020] If one of the fault diagnosis models issues an abnormal alarm, it will be displayed on the fault warning platform. If both algorithms issue abnormal alarms, the stacker-reclaimer will be directly stopped.

[0021] As a preferred solution of the stacker-reclaimer remote fault diagnosis method based on bus communication described in the present invention, wherein: the stacker-reclaimer PLC collects a total of 197 data points, and after removing 5 output points, 192 input data points are retained;

[0022] According to the preset fault diagnosis criteria, 157 input data points were screened out and 35 key input data points were obtained;

[0023] The 35 input data points were screened using the variance selection method, with the variance threshold set to 0.02, and 5 data points with variances below the threshold were removed, leaving 30 input data points;

[0024] The 30 input data points retained after variance screening were screened using the mutual information method, the mutual information threshold was set to 0.32, 24 data points with higher mutual information values ​​were selected as the final input features, and the remaining 6 data points were removed;

[0025] The pile rotation, reclaim rotation, reclaim pitch, reclaim scraper, and reclaim belt current are used as output values, and the remaining 24 screened data points are used as input values ​​of the support vector machine model;

[0026] The genetic algorithm is used to optimize the hyperparameter kernel function parameter σ and regularization parameter C of the support vector machine model, and finally σ is 1.1032 and C is 15.7568;

[0027] The screened input data and optimized parameters are input into the trained support vector machine model to directly output the predicted fault diagnosis results.

[0028] Another object of the present invention is to provide a remote fault diagnosis system for a stacker and reclaimer based on bus communication, which can solve the problem of ensuring security and confidentiality of data transmission in existing distribution network operations by constructing a remote secure communication system for distribution network operations, and the problem that using a third-party platform is not conducive to data confidentiality.

[0029] In order to solve the above technical problems, the present invention provides the following technical solutions: a remote fault diagnosis system for a stacker and reclaimer based on bus communication, comprising: a collection unit and a prediction unit; the collection unit is used to collect the operating parameters of the equipment in real time by installing sensors and data collection devices on the stacker and reclaimer; the prediction unit is used to transmit data to the auxiliary machine control room by using the Profibus bus communication method, and to build a fault diagnosis platform on the server in the auxiliary machine control room to realize fault warning and analysis and provide fault information.

[0030] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of the stacker-reclaimer remote fault diagnosis method based on bus communication as described above are implemented.

[0031] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the stacker-reclaimer remote fault diagnosis method based on bus communication as described above.

[0032] Beneficial effects of the present invention: The remote fault diagnosis method for stacker-reclaimer based on bus communication provided by the present invention improves the reliability of the equipment, reduces the fault rate, and ensures the stable operation of the coal transportation system. It realizes remote monitoring and fault diagnosis, effectively reduces labor costs, and improves work efficiency. It shortens the fault elimination time, minimizes the impact of equipment downtime on production, and improves the overall operation efficiency of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0034] Figure 1 An overall flow chart of a remote fault diagnosis method for a stacker-reclaimer based on bus communication provided by one embodiment of the present invention.

[0035] Figure 2 An experimental simulation diagram of a stacker-reclaimer remote fault diagnosis method based on bus communication provided by one embodiment of the present invention.

[0036] Figure 3 An overall structural diagram of a remote fault diagnosis system for a stacker-reclaimer based on bus communication provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0037] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0038] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0039] Example 1

[0040] Reference Figure 1-Figure 2 , as an embodiment of the present invention, provides a remote fault diagnosis method for a stacker-reclaimer based on bus communication, comprising:

[0041] S1 collects the operating parameters of the equipment in real time by installing sensors and data acquisition devices on the stacker-reclaimer.

[0042] S2 uses Profibus communication to transmit data to the auxiliary machine control room, builds a fault diagnosis platform on the auxiliary machine control room server, implements fault warning and analysis, and provides fault information.

[0043] The sensors include current transformer and voltage transformer of material scraper motor 1, current transformer and voltage transformer of material scraper motor 2, pile material rotation angle encoder, material reclaiming rotation angle encoder, material reclaiming pitch angle encoder, front material level sensor of material reclaiming scraper, middle material level sensor of material reclaiming scraper, and rear material level sensor of material reclaiming scraper.

[0044] The material scraper motor 1 and the material scraper motor 2 are two motors with the same functions.

[0045] The data acquisition device includes a pile material rotation frequency converter, a material retrieving rotation frequency converter, a material retrieving pitch frequency converter, and S7-300.

[0046] The communication system includes a stacking rotary frequency converter, a reclaiming rotary frequency converter, a reclaiming pitch frequency converter, a Siemens S7-300 CPU, IM368, CP342-5, a DP bus, an OLM, a fiber optic transceiver, a DCS server, a DCS engineer station, and a DCS operator station.

[0047] Install Profibus-DP communication module CP342-5 on the stacker-reclaimer PLC rack to map the I / O virtual address and the actual PLC address. After reading the CPU address, CP342-5 communicates with the DCS to realize data transmission between the DCS and the stacker-reclaimer PLC.

[0048] A master-slave communication interconnection device is configured between the stacker-reclaimer PLC and DCS, with the stacker-reclaimer PLC as a substation and the DCS as a master station, using a client / server structure.

[0049] The stacking rotary inverter, reclaiming rotary inverter and reclaiming pitching inverter collect the current and voltage of the stacking rotary motor, the current and voltage of the reclaiming rotary motor, the current and voltage of the reclaiming pitching motor, and the remaining data are read through S7-300. The inverter communicates with S7-300 and transmits the data to S7-300 and CP342-5 to map the I / O virtual address and the actual PLC address. After reading the CPU address data, CP342-5 communicates with DCS, and the stacker-reclaimer S7-300 becomes the next slave station of DCS.

[0050] The collected equipment operating parameters include the current, voltage / circuit breaker and contactor status of the stacking rotating motor, the current, voltage / circuit breaker and contactor status of the reclaiming rotating motor, the current, voltage / circuit breaker and contactor status of the reclaiming pitching motor, the current, voltage / circuit breaker and contactor status of the reclaiming scraper motor, the current, voltage / circuit breaker and contactor status of the stacking belt motor, the data of the stacking rotation angle encoder, the reclaiming rotation angle encoder, the reclaiming pitching angle encoder, the left front material level data and the right front material level data of the reclaiming scraper, the left middle material level data and the right middle material level data of the reclaiming scraper, the left rear material level data and the right rear material level data of the reclaiming scraper.

[0051] The remote fault diagnosis platform is built on the DCS server. The platform can display the operating status of the stacker-reclaimer in real time and has trend analysis and alarm functions.

[0052] Fault diagnosis is divided into two parts. The data is divided into different working conditions through the clustering model, and then the data is input into the fault diagnosis model of the corresponding working condition to judge the equipment operation status.

[0053] Each parameter is input into the model, which automatically classifies it into 9 categories, a number derived by the model.

[0054] The historical data is collected and classified into 9 categories, i.e., 9 operating conditions, using the DBSCAN model. When real-time data is transmitted, the data is classified into a certain operating condition and then input into the fault diagnosis model of the corresponding operating condition.

[0055] According to the fault diagnosis model, the fault diagnosis model is divided into two parts: a diagnostic algorithm based on machine learning: collect a large amount of historical data, train the support vector machine model, predict the data for the next 1 minute, compare the predicted value with the actual value, and judge it as normal if the error is within ±15%; a diagnostic algorithm based on statistics: find out the abnormal data points by comparing the difference between the current data and the historical data, and judge it as normal if the error is within ±15%, and determine the cause and location of the fault through statistical methods.

[0056] The fault diagnosis model is trained according to different working conditions. According to the 9 working conditions classified by the clustering model, the fault diagnosis model is divided into 9 types. The operating data of different working conditions are judged using different fault diagnosis models.

[0057] The diagnostic model is divided into two parts. If one of them sends out an abnormal alarm, it will be displayed on the fault warning platform. If both algorithms send out abnormal alarms, the stacker-reclaimer will be directly stopped. The effect after improvement is shown in Figure 2, where the X-axis is the month, January to December, and the Y-axis is the downtime caused by the fault.

[0058] The stacker-reclaimer PLC collects a total of 197 data points. After removing five output points, there are a total of 192 input points. According to the preset fault diagnosis standards, 157 input points are removed, and there are a total of 35. The variance selection method is used. Since some data points have been excluded, the threshold is selected to be smaller, set to 0.02, and 5 data points are deleted again. Finally, the mutual information method is used to set the threshold to 0.32, and 6 data points are discarded again, retaining 24 inputs.

[0059] The current of pile rotation, reclaim rotation, reclaim pitch, reclaim scraper and reclaim belt is taken as output value, and the rest is taken as input value;

[0060] The hyperparameter kernel function parameter σ and regularization parameter C of the support vector machine model are optimized using a genetic algorithm, with σ being 1.1032 and C being 15.7568.

[0061] Input the value into the trained support vector machine model and directly output the predicted output value.

[0062] Example 2

[0063] Reference Figure 3 , as an embodiment of the present invention, provides a remote fault diagnosis system for a stacker-reclaimer based on bus communication, comprising:

[0064] Collection unit 100, prediction unit 200;

[0065] The collection unit 100 is used to collect the operating parameters of the equipment in real time by installing sensors and data collection devices on the stacker-reclaimer;

[0066] The prediction unit 200 is used to transmit data to the auxiliary machine control room by using the Profibus bus communication method, build a fault diagnosis platform on the auxiliary machine control room server, realize fault warning and analysis, and provide fault information.

[0067] Example 3

[0068] An embodiment of the present invention is different from the first two embodiments in that:

[0069] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program codes.

[0070] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0071] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0072] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0073] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A remote fault diagnosis method for a stacker-reclaimer based on bus communication, characterized in that: include: By installing sensors and data acquisition devices on the stacker-reclaimer, the operating parameters of the equipment can be collected in real time; The Profibus bus communication method is used to transmit data to the auxiliary machine control room, and a fault diagnosis platform is built on the auxiliary machine control room server to realize fault warning and analysis and provide fault information.

2. The remote fault diagnosis method for stacker-reclaimer based on bus communication according to claim 1, characterized in that: The sensors include a current transformer and a voltage transformer for a material scraper motor, a material pile rotation angle encoder, a material reclaiming rotation angle encoder, and a material reclaiming pitch angle encoder; The data acquisition device includes a pile material rotation frequency converter, a material retrieving rotation frequency converter, a material retrieving pitch frequency converter, and S7-300.

3. The remote fault diagnosis method for stacker-reclaimer based on bus communication according to claim 2, characterized in that: The operating parameters include the current, voltage / circuit breaker and contactor status of the stacking rotating motor, the current, voltage / circuit breaker and contactor status of the reclaiming rotating motor, the current, voltage, circuit breaker and contactor status of the reclaiming pitching motor, the current, voltage, circuit breaker and contactor status of the reclaiming scraper motor, the current, voltage, circuit breaker and contactor status of the stacking belt motor, the data of the stacking rotation angle encoder, the reclaiming rotation angle encoder, the reclaiming pitching angle encoder, the material level data in front of the reclaiming scraper, the material level data in the middle of the reclaiming scraper, the material level data in the back of the reclaiming scraper, the pull rope switch status, the tear switch status, the deviation switch status, and various action instructions.

4. The remote fault diagnosis method for stacker-reclaimer based on bus communication according to claim 3, characterized in that: The Profibus bus communication method includes a stacking rotary frequency converter, a reclaiming rotary frequency converter, a reclaiming pitch frequency converter, Siemens S7-300, IM365, CP342-5, DP bus, OLM, fiber optic transceiver, DCS server, DCS engineer station, and DCS operator station; The data transmission includes installing a Profibus-DP communication module CP342-5 on the stacker-reclaimer PLC rack to map the I / O virtual address and the actual PLC address. After the CP342-5 reads the CPU address data, it communicates with the DCS to realize the data transmission between the DCS and the stacker-reclaimer PLC. A master-slave communication interconnection device is configured between the stacker-reclaimer PLC and DCS, with the stacker-reclaimer PLC as a substation and the DCS as a master station, using a client / server structure.

5. The remote fault diagnosis method for stacker-reclaimer based on bus communication according to claim 4, characterized in that: The remote fault diagnosis platform is built on the DCS server. The platform displays the operating status of the stacker-reclaimer in real time and has trend analysis and alarm functions. The data is divided into different working conditions through the clustering model, and then the data is input into the fault diagnosis model of the corresponding working condition to determine the equipment operation status; The historical data of the operating parameters are collected, and the DBSCAN model is used to classify the historical data into 9 categories. When the real-time data is transmitted, the data is classified into a certain working condition and then input into the fault diagnosis model of the corresponding working condition.

6. The remote fault diagnosis method for stacker-reclaimer based on bus communication according to claim 5, characterized in that: The fault diagnosis model includes a machine learning diagnosis algorithm, collecting historical data, training the support vector machine model, predicting the data for the next 1 minute, comparing the predicted value with the actual value, and judging it as normal if the error is within ±15%; The statistical diagnosis algorithm compares the difference between current data and historical data to find abnormal data points. If the error is within ±15%, it is judged as normal, and the cause and location of the fault are determined by statistical methods; The fault diagnosis model is trained according to working conditions. According to the 9 working conditions classified by the clustering model, the fault diagnosis model is divided into 9 types. The operation data of different working conditions are judged using different fault diagnosis models. If one of the fault diagnosis models issues an abnormal alarm, it will be displayed on the fault warning platform. If both algorithms issue abnormal alarms, the stacker-reclaimer will be directly stopped.

7. The remote fault diagnosis method for stacker-reclaimer based on bus communication according to claim 6, characterized in that: The stacker-reclaimer PLC collects a total of 197 data points, and after removing 5 output points, 192 input data points remain; According to the preset fault diagnosis criteria, 157 input data points were screened out and 35 key input data points were obtained; The 35 input data points were screened using the variance selection method, with the variance threshold set to 0.02, and 5 data points with variances below the threshold were removed, leaving 30 input data points; The 30 input data points retained after variance screening were screened using the mutual information method, the mutual information threshold was set to 0.32, 24 data points with high mutual information values ​​were selected as the final input features, and the remaining 6 data points were removed; The pile rotation, reclaim rotation, reclaim pitch, reclaim scraper, and reclaim belt current are used as output values, and the remaining 24 screened data points are used as input values ​​of the support vector machine model; The genetic algorithm is used to optimize the hyperparameter kernel function parameter σ and regularization parameter C of the support vector machine model, and finally σ is 1.1032 and C is 15.7568; The screened input data and optimized parameters are input into the trained support vector machine model to directly output the predicted fault diagnosis results.

8. A system using the stacker-reclaimer remote fault diagnosis method based on bus communication as claimed in any one of claims 1 to 7, characterized in that: include: A collection unit (100), a prediction unit (200); The collection unit (100) is used to collect the operating parameters of the equipment in real time by installing sensors and data collection devices on the stacker-reclaimer; The prediction unit (200) is used to transmit data to the auxiliary machine control room by using the Profibus bus communication method, and to build a fault diagnosis platform on the auxiliary machine control room server to achieve fault warning and analysis and provide fault information.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the remote fault diagnosis method for a stacker-reclaimer based on bus communication as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the remote fault diagnosis method for a stacker-reclaimer based on bus communication according to any one of claims 1 to 7 are implemented.

Images