A method and system for early warning of sticking failure of a rotary air preheater in a thermal power plant

Abstract

The present disclosure provides a thermal power plant rotary air preheater sticking fault early warning method and system to solve the problem that the air preheater rotating speed measuring device in the related art detects sticking with a lag, and even cannot detect it out. The system comprises a detection device, a motor, a speed reducer, a current measuring device and a processor, wherein the current measuring device is connected with the motor; the processor is connected with the current measuring device, used to acquire current data from the current measuring device, and perform calculation based on the current data.

Description

Technical Field

[0001] This disclosure relates to the field of intelligent fault diagnosis technology, and in particular to a method and system for early warning of jamming faults in rotary air preheaters of thermal power plants. Background Technology

[0002] Rotary air preheaters are important auxiliary equipment in power plant boilers, used to recover heat from flue gas and heat the primary and secondary air entering the furnace. The core component of the air preheater consists of hundreds or thousands of corrugated plate heat exchange elements tightly packed in various compartments. When the motor drives the main shaft to rotate, the heat exchange elements flow sequentially through the high-temperature flue gas side and the low-temperature air side, transferring the heat of the flue gas to the air, completing the heat exchange process.

[0003] like Figure 1 As shown, the air preheater currently has proximity sensors installed at fixed positions as measuring devices for the spindle speed. Typically, three proximity sensors are installed on the spindle at a 60-degree angle. When the air preheater speed is stable, the three proximity sensors sequentially detect the protruding detection blocks on the spindle, emitting pulse signals at a fixed frequency. Because the air preheater is designed for a relatively low speed, typically around 1.0 r / min, when localized, small-scale friction occurs, or if the jamming occurs between two proximity sensors, the drive motor's output is sufficient to overcome this small frictional force, resulting in minimal change in the air preheater spindle speed. This means that the existing system cannot detect air preheater jamming. Only when severe jamming occurs can the abnormal pulse frequency of the proximity switch indicate a fault, by which time the optimal handling time has been missed, and the air preheater faces a significant risk of shutdown. Therefore, early detection and handling of air preheater jamming faults are crucial for ensuring the stable operation of the unit. Summary of the Invention

[0004] This invention provides a method and system for early warning of jamming faults in rotary air preheaters of thermal power plants, which solves the problem that the detection of jamming by air preheater speed measuring devices is delayed or even difficult in related technologies.

[0005] In a first aspect, embodiments of the present invention provide a jamming fault early warning system for rotary air preheaters in thermal power plants, applied in rotary air preheaters. The system includes: a detection device, a motor, a reducer, a current measuring device, and a processor.

[0006] The current measuring device is connected to the motor;

[0007] The processor is connected to a current measuring device to acquire current data from the current measuring device and to perform calculations based on the current data.

[0008] In one possible implementation, the system provided by the embodiments of the present invention further includes: a rotational speed calculation device;

[0009] The rotational speed calculation device is connected to the detection device;

[0010] The processor is connected to the speed calculation device to obtain speed data from the speed calculation device and perform calculations based on the speed data.

[0011] In one possible implementation, the system provided by the embodiments of the present invention further includes: a storage device;

[0012] The storage device is connected to the processor and is used to provide the processor with historical data.

[0013] Secondly, embodiments of the present invention provide a method for early warning of jamming faults in rotary air preheaters of thermal power plants, applied to the system mentioned in the first aspect, including:

[0014] Acquire current data using a current measuring device;

[0015] Determine whether a rotary air preheater has malfunctioned based on current data and predicted current.

[0016] In one possible implementation, the method provided by the embodiments of the present invention further includes:

[0017] Historical data can be obtained through storage devices;

[0018] The predicted current is determined based on historical data.

[0019] In one possible implementation, the method provided by the embodiments of the present invention further includes:

[0020] Speed ​​data is obtained through a speed calculation device;

[0021] Determining whether a rotary air preheater has malfunctioned based on current data and predicted current includes:

[0022] Determine whether a rotary air preheater has malfunctioned based on current data, predicted current, rotational speed data, and rated rotational speed.

[0023] In one possible implementation, the method provided by the embodiments of the present invention determines whether a rotary air preheater has malfunctioned based on current data, predicted current, rotational speed data, and rated rotational speed, including:

[0024] Based on current data, predicted current, rotational speed data, and rated rotational speed, a predictive model is used to determine whether a rotary air preheater has malfunctioned.

[0025] In one possible implementation, the prediction model in the method provided by the embodiments of the present invention is trained by the following method:

[0026] Obtain multiple training sample data containing annotations;

[0027] Using each training sample data in multiple training sample data as input, the current prediction result corresponding to each training sample data is compared with the labeled result of the training sample data. Based on the difference between the current prediction result corresponding to each training sample data and the labeled result of the training sample data, a prediction model is trained and generated. The current prediction result corresponding to each training sample data is the current prediction value in each training sample data, and the labeled result is the current prediction value pre-labeled in the training sample data.

[0028] Thirdly, embodiments of the present invention provide a fault early warning device for jamming of a rotary air preheater in a thermal power plant, comprising:

[0029] Acquisition unit, used to acquire current data through a current measuring device;

[0030] The processing unit is used to determine whether the rotary air preheater has malfunctioned based on current data and predicted current.

[0031] In one possible implementation, the acquisition unit and processing unit in the apparatus provided by the embodiments of the present invention are further configured to:

[0032] The acquisition unit is also used to acquire historical data through a storage device;

[0033] The processing unit is also used to determine the predicted current based on historical data.

[0034] In one possible implementation, the device provided in this embodiment of the invention is further configured to acquire rotational speed data via a rotational speed calculation device;

[0035] The processing unit is also used to determine whether the rotary air preheater has malfunctioned based on current data, predicted current, speed data, and rated speed.

[0036] In one possible implementation, the processing unit in the apparatus provided by the embodiments of the present invention is further configured to:

[0037] Based on current data, predicted current, rotational speed data, and rated rotational speed, a predictive model is used to determine whether a rotary air preheater has malfunctioned.

[0038] In one possible implementation, the prediction model in the apparatus provided by the embodiments of the present invention is trained by the following method:

[0039] Obtain multiple training sample data containing annotations;

[0040] Using each training sample data in multiple training sample data as input, the current prediction result corresponding to each training sample data is compared with the labeled result of the training sample data. Based on the difference between the current prediction result corresponding to each training sample data and the labeled result of the training sample data, a prediction model is trained and generated. The current prediction result corresponding to each training sample data is the current prediction value in each training sample data, and the labeled result is the current prediction value pre-labeled in the training sample data.

[0041] Fourthly, embodiments of the present invention provide an electronic device, including: at least one processor, at least one memory, and computer program instructions stored in the memory, which, when executed by the processor, implement the method provided in the first aspect of the present invention.

[0042] Fifthly, embodiments of the present invention provide a computer-readable storage medium having computer program instructions stored thereon, which, when executed by a processor, implement the method provided in the first aspect of the present invention.

[0043] The present invention provides a fault early warning system for jamming in a rotary air preheater of a thermal power plant, comprising: a detection device, a motor, a reducer, a current measuring device, and a processor. The current measuring device is connected to the motor; the processor is connected to the current measuring device and is used to acquire current data from the current measuring device and perform calculations based on the current data. Compared with related technologies, this system solves the problem of delayed or even impossible detection of jamming by the air preheater speed measuring device. Utilizing big data modeling and artificial intelligence algorithms, it provides real-time diagnosis and early warning of jamming phenomena during air preheater operation, exhibiting significant reliability and high accuracy. Attached Figure Description

[0044] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used 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 those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0045] Figure 1 A schematic diagram of a fault early warning system for a rotary air preheater in a thermal power plant is provided in the background section of this invention.

[0046] Figure 2 A schematic diagram of a jamming fault early warning system for a rotary air preheater in a thermal power plant is provided in the background section of this invention.

[0047] Figure 3This is a schematic diagram of a fault early warning system for a rotary air preheater in a thermal power plant, provided by an embodiment of the present invention.

[0048] Figure 4 A flowchart illustrating a method for early warning of jamming faults in a rotary air preheater of a thermal power plant, provided by an embodiment of the present invention;

[0049] Figure 5 This is a schematic diagram of a specific process for a method for early warning of jamming faults in a rotary air preheater of a thermal power plant, provided by an embodiment of the present invention.

[0050] Figure 6 This is a schematic diagram illustrating the specific principle of a method for early warning of jamming faults in a rotary air preheater of a thermal power plant, provided by an embodiment of the present invention.

[0051] Figure 7 This is a schematic diagram of the structure of a fault early warning device for a rotary air preheater in a thermal power plant, provided in an embodiment of the present invention.

[0052] Figure 8 This is a schematic diagram of a fault early warning device for a rotary air preheater in a thermal power plant, provided in an embodiment of the present invention. Detailed Implementation

[0053] To better understand the above-mentioned objectives, features, and advantages of this disclosure, the solutions disclosed herein will be further described below. It should be noted that, unless otherwise specified, the embodiments and features described herein can be combined with each other.

[0054] Numerous specific details are set forth in the following description in order to provide a full understanding of this disclosure, but this disclosure may also be implemented in other ways different from those described herein; obviously, the embodiments in the specification are only some, and not all, of the embodiments of this disclosure.

[0055] The following are explanations of some of the words that appear in the text:

[0056] 1. In the embodiments of this invention, the term "and / or" describes the relationship between associated objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. The character " / " generally indicates that the preceding and following associated objects have an "or" relationship.

[0057] The application scenarios described in the embodiments of this invention are for the purpose of more clearly illustrating the technical solutions of the embodiments of this invention, and do not constitute a limitation on the technical solutions provided by the embodiments of this invention. Those skilled in the art will understand that with the emergence of new application scenarios, the technical solutions provided by the embodiments of this invention are also applicable to similar technical problems. In the description of this invention, unless otherwise stated, "multiple" means two or more.

[0058] Rotary air preheaters are important auxiliary equipment in power plant boilers, used to recover heat from flue gas and heat the primary and secondary air entering the furnace. The core component of the air preheater consists of hundreds or thousands of corrugated plate heat exchange elements tightly packed in various compartments. When the motor drives the main shaft to rotate, the heat exchange elements flow sequentially through the high-temperature flue gas side and the low-temperature air side, transferring the heat of the flue gas to the air, completing the heat exchange process.

[0059] The overall structure of the air preheater is as follows Figure 2 As shown, to prevent leakage between flue gas and air, a sophisticated sealing device is installed between different compartments of the air preheater. The main causes of jamming due to improper sealing include: friction between the radial sealing plate and the sector plate; friction between the axial sealing plate and the arc plate; improper adjustment of the dynamic and static clearances causing friction between the sector plate and the casing; and friction between the rotor sealing plate and the casing. In addition, the presence of many solid impurities in the flue gas, coupled with the significant temperature fluctuations of the medium on the metal materials, makes the surface coating prone to peeling, which also increases the risk of air preheater jamming. Solid foreign objects embedded between the rotor side and the casing, causing friction during rotation, are also a major cause of air preheater jamming.

[0060] like Figure 1 As shown, the air preheater currently has proximity sensors installed at fixed positions as measuring devices for the spindle speed. Typically, three proximity sensors are installed on the spindle at a 60-degree angle. When the air preheater speed is stable, the three proximity sensors sequentially detect the protruding detection blocks on the spindle, emitting pulse signals at a fixed frequency. Because the air preheater is designed for a relatively low speed, typically around 1.0 r / min, when localized, small-scale friction occurs, or if the jamming occurs between two proximity sensors, the drive motor's output is sufficient to overcome this small frictional force, resulting in minimal change in the air preheater spindle speed. This means that the existing system cannot detect air preheater jamming. Only when severe jamming occurs can the abnormal pulse frequency of the proximity switch indicate a fault, by which time the optimal handling time has been missed, and the air preheater faces a significant risk of shutdown. Therefore, early detection and handling of air preheater jamming faults are crucial for ensuring the stable operation of the unit.

[0061] Therefore, there is an urgent need for a fault early warning system and corresponding method for the jamming of rotary air preheaters in thermal power plants, to solve the problem that the air preheater speed measuring device is slow to detect jamming, or even difficult to detect.

[0062] like Figure 3 As shown, the rotary air preheater jamming fault early warning system of this disclosure embodiment is applied to the rotary air preheater. The system includes: a detection device, a speed calculation device 3, a current measurement device 4, a processor 5, a storage device 6, a motor 7, and a reducer 8.

[0063] The detection device includes a detection block 1 and a proximity sensor 2. The proximity sensor 2 is a device capable of sensing the approach of an object. It utilizes the sensitivity of a displacement sensor to approaching objects to identify their proximity and output a corresponding signal. The detection block 1 is mounted on the outer side of the air preheater main shaft 9 and is a protruding metal plate. When the detection block 1 rotates to the position of the proximity sensor 2, it triggers an electrical signal. The main shaft 9 rotates continuously, generating regular pulse signals. These signals are then processed by the speed calculation device 3 to determine the rotational speed of the shaft. The air preheater main shaft 9 is a steel shaft, with the heat exchange elements arranged around it. One end of the reducer 8 is connected to the motor 7, and the other end is connected to the air preheater main shaft 9. The reducer 8 receives the torque transmitted from the reducer 8, thereby driving the heat exchange elements to rotate at a uniform speed.

[0064] The current of motor 7 during operation is measured in real time by current measuring device 4. The results from speed calculation device 3 and data from current sensor 4 are both transmitted to processor 5. Processor 5 can receive signals, perform logical judgments, and output results. When performing logical operations, processor 5 needs to call historical data from storage device 6.

[0065] like Figure 4 As shown, the method for early warning of jamming faults in rotary air preheaters of thermal power plants according to embodiments of this disclosure is applied to, for example... Figure 3 The systems mentioned include:

[0066] Step S401: Obtain current data through a current measuring device.

[0067] In practice, the current of the motor 7 during operation is measured in real time by the current measuring device 4, and the measured current data is then obtained through the current measuring device. Similarly, in this step, the speed data is also obtained through the speed calculation device. Specifically, when the detection block 1 rotates to the position close to the sensor 2, an electrical signal is triggered, and the main shaft 9 rotates continuously, thus obtaining a regular pulse signal. The speed data is then calculated by the speed calculation device 3.

[0068] Step S402 determines whether the rotary air preheater has malfunctioned based on current data and predicted current.

[0069] In practice, historical data is first obtained through a storage device, and then the predicted current is determined based on the historical data. Then, by comparing the current data with the prediction circuit, and by comparing the rotational speed data with the rated speed, it is determined whether the rotary air preheater has malfunctioned.

[0070] like Figure 5 As shown, the method for early warning of jamming faults in rotary air preheaters of thermal power plants in this embodiment of the invention will be described in detail, and the specific steps are as follows.

[0071] Step S501: Obtain historical data through the storage device.

[0072] In practice, historical data such as unit load, total coal consumption, total water consumption, and flue gas oxygen consumption are obtained through storage devices.

[0073] Step S502: Determine the predicted current and rated speed based on historical data.

[0074] In practice, due to the fluctuations in load during normal operation, the air preheater current exhibits a regular upward or downward trend. Therefore, after obtaining historical data and inputting it into the early warning model, the model can output the predicted value I of the air preheater current under this operating condition through a series of calculations. 预测 Usually according to |I 预测 -I 实际 |>20%×I 额定 If the signal is strong, it indicates that the equipment is jammed; otherwise, it indicates that the equipment is operating normally.

[0075] Step S503: Obtain current data through a current measuring device and obtain speed data through a speed calculation device.

[0076] Step S504: Determine whether the rotary air preheater has malfunctioned based on current data, predicted current, rotational speed data, and rated rotational speed.

[0077] In practical implementation, through data analysis, representative characteristic parameters are extracted from the data. This invention selects "air preheater operating current" as the core characteristic parameter and "inlet and outlet flue gas temperature, inlet and outlet primary air temperature, inlet and outlet secondary air temperature, total air volume, and total coal volume" as basic characteristic parameters. After selecting the characteristic parameters, more than half of the data is extracted from the historical database of air preheater normal operation parameters as the training dataset for the model, and the remaining part is used as the application dataset for the model. Then, using machine learning algorithms, the relationship between basic parameters such as unit load, total air volume, total coal volume, air preheater inlet and outlet flue gas temperature, and air preheater inlet and outlet primary / secondary air temperature, and the core parameter of actual air preheater operating current is established. This enables the output of the predicted value I of the air preheater current based on real-time unit basic parameters. 预测 The actual operating current of the air preheater is I.实际 Then, use the training dataset to train and iterate the model output, and use the test dataset to test the model output results. Optimize and adjust the model based on the test results. If |I 预测 -I 实际 |>20%×I 额定 If so, it is determined that the equipment is jammed.

[0078] Conversely, if the value is not found, the equipment is considered to be operating normally. Of course, other values ​​can also be selected to determine whether the equipment is jammed.

[0079] Preferably, the processor performs jamming judgment based on both the rotational speed and current parameters. The processor retrieves the unit's basic operating parameters under the same operating conditions from the storage device and uses the "air preheater jamming early warning model" to obtain the predicted value of the air preheater current under that load condition.

[0080] 1) When the speed value output by the speed calculation device is greater than 80% × rated speed, and the difference between the actual current value measured by the current measuring device and the predicted value obtained by the "prediction model" is less than 20% × I rated speed, the model outputs "Air preheater is operating normally".

[0081] 2) When the speed value output by the speed calculation device is greater than 80% × rated speed, but the difference between the actual current value measured by the current measurement device and the predicted value obtained by the "prediction model" is greater than 20% × I rated speed, the model outputs "air preheater slightly stuck".

[0082] 3) When the speed value output by the speed calculation device is greater than 80% × rated speed, but the difference between the actual current value measured by the current measurement device and the predicted value obtained by the "prediction model" is greater than 30% × I rated speed, the model outputs "moderate jamming of air preheater".

[0083] 4) When the speed value output by the speed calculation device is greater than 80% × rated speed, but the difference between the actual current value measured by the current measurement device and the predicted value obtained by the "prediction model" is greater than 40% × I rated speed, the model outputs "Air preheater is severely stuck".

[0084] 5) When the speed calculation device outputs a speed value < 80% × rated speed, but the difference between the actual current value measured by the current measurement device and the predicted value obtained by the "prediction model" is < 20% × I_rated, the model outputs "Air preheater slightly stuck".

[0085] 6) When the speed calculation device outputs a speed value < 80% × rated speed, but the difference between the actual current value measured by the current measurement device and the predicted value obtained by the "prediction model" is > 20% × I_rated, the model outputs "Air preheater severely jammed".

[0086] The specific logic is as follows: Figure 6 As shown.

[0087] The machine learning algorithms used in this invention include, but are not limited to, the following methods:

[0088] Logistic regression, Random Forests Model, Support Vector Machines, Gradient Boosting Classifier, k-Nearest Neighbor (KNN) classification algorithm, Gaussian Naive Bayes, dimensionality reduction (PCA, Isomap), data classification (SVC, K-Means), linear regression, etc.

[0089] like Figure 7 As shown, this embodiment of the invention provides a fault early warning device for jamming of a rotary air preheater in a thermal power plant, comprising:

[0090] Acquisition unit 701 is used to acquire current data through a current measuring device;

[0091] Processing unit 702 is used to determine whether the rotary air preheater has malfunctioned based on current data and predicted current.

[0092] In one possible implementation, the acquisition unit 701 and the processing unit 702 in the apparatus provided by the embodiments of the present invention are further configured to:

[0093] The acquisition unit 701 is also used to acquire historical data through a storage device;

[0094] The processing unit 702 is also used to determine the predicted current based on historical data.

[0095] In one possible implementation, the acquisition unit 701 in the apparatus provided by the present invention is further configured to acquire rotational speed data through a rotational speed calculation device;

[0096] The processing unit 702 is also used to determine whether the rotary air preheater has malfunctioned based on current data, predicted current, speed data and rated speed.

[0097] In one possible implementation, the processing unit 702 in the apparatus provided by the embodiments of the present invention is further configured to:

[0098] Based on current data, predicted current, rotational speed data, and rated rotational speed, a predictive model is used to determine whether a rotary air preheater has malfunctioned.

[0099] In one possible implementation, the prediction model in the apparatus provided by the embodiments of the present invention is trained by the following method:

[0100] Obtain multiple training sample data containing annotations;

[0101] Using each training sample data in multiple training sample data as input, the current prediction result corresponding to each training sample data is compared with the labeled result of the training sample data. Based on the difference between the current prediction result corresponding to each training sample data and the labeled result of the training sample data, a prediction model is trained and generated. The current prediction result corresponding to each training sample data is the current prediction value in each training sample data, and the labeled result is the current prediction value pre-labeled in the training sample data.

[0102] In addition, combined Figures 1-7 The method and apparatus for early warning of jamming faults in rotary air preheaters of thermal power plants described in this application embodiment can be implemented by a device for early warning of jamming faults in rotary air preheaters of thermal power plants. Figure 8 This paper illustrates a schematic diagram of the hardware structure of an electronic device for early warning of jamming faults in rotary air preheaters of thermal power plants, provided in an embodiment of this application.

[0103] The following is a detailed reference. Figure 8 It shows a schematic diagram of a structure suitable for implementing the electronic device 800 in the embodiments of this disclosure. Figure 8 The electronic device shown is merely an example and should not be construed as limiting the functionality and scope of the embodiments disclosed herein.

[0104] like Figure 8 As shown, the electronic device 800 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 801, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 802 or a program loaded from a storage device 808 into a random access memory (RAM) 803 to implement the voice control method as described in the embodiments of this disclosure. The RAM 803 also stores various programs and data required for the operation of the electronic device 800. The processing device 801, ROM 802, and RAM 803 are interconnected via a bus 804. An input / output (I / O) interface 805 is also connected to the bus 804.

[0105] Typically, the following devices can be connected to I / O interface 805: input devices 806 including, for example, touchscreens, touchpads, keyboards, mice, cameras, microphones, accelerometers, gyroscopes, etc.; output devices 807 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; storage devices 808 including, for example, magnetic tapes, hard disks, etc.; and communication devices 809. Communication device 809 allows electronic device 800 to communicate wirelessly or wiredly with other devices to exchange data. Although Figure 6 An electronic device 800 with various devices is shown; however, it should be understood that it is not required to implement or possess all of the devices shown. More or fewer devices may be implemented or possessed alternatively.

[0106] In particular, according to embodiments of this disclosure, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of this disclosure include a computer program product comprising a computer program carried on a non-transitory computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts, thereby implementing the voice control method as described above. In such embodiments, the computer program can be downloaded and installed from a network via a communication device 809, or installed from a storage device 808, or installed from a ROM 802. When the computer program is executed by the processing device 801, it performs the functions defined in the methods of embodiments of this disclosure.

[0107] It should be noted that the computer-readable medium described in this disclosure can be a computer-readable signal medium or a computer-readable storage medium, or any combination thereof. A computer-readable storage medium can be, for example,—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this disclosure, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in connection with an instruction execution system, apparatus, or device. In this disclosure, a computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium can be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to: wires, optical fibers, RF (radio frequency), etc., or any suitable combination thereof.

[0108] In some implementations, clients and servers can communicate using any currently known or future-developed network protocol such as HTTP (Hypertext Transfer Protocol) and can interconnect with digital data communication (e.g., communication networks) of any form or medium. Examples of communication networks include local area networks (“LANs”), wide area networks (“WANs”), the Internet (e.g., the Internet of Things), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future-developed networks.

[0109] The aforementioned computer-readable medium may be included in the aforementioned electronic device; or it may exist independently and not assembled into the electronic device.

[0110] The aforementioned computer-readable medium carries one or more programs that, when executed by the electronic device, cause the electronic device to:

[0111] Obtain the first upgrade data corresponding to the system side. The first upgrade data includes an upgrade file package and an upgrade list. The upgrade list is used to determine the unit to be upgraded in the system side and the upgrade file in the upgrade file package corresponding to the unit to be upgraded.

[0112] Send the first upgrade data to the system.

[0113] An upgrade command is sent to the system, which instructs the system to perform a firmware upgrade based on the first upgrade data.

[0114] Optionally, when one or more of the above-described procedures are executed by the electronic device, the electronic device may also perform other steps described in the above embodiments.

[0115] Computer program code for performing the operations of this disclosure can be written in one or more programming languages ​​or a combination thereof, including but not limited to object-oriented programming languages ​​such as Java, Smalltalk, and C++, as well as conventional procedural programming languages ​​such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0116] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0117] The units described in the embodiments of this disclosure can be implemented in software or hardware. The names of the units are not, in some cases, intended to limit the specific unit.

[0118] The functions described above in this document can be performed, at least in part, by one or more hardware logic components. For example, exemplary types of hardware logic components that can be used, without limitation, include: Field Programmable Gate Arrays (FPGAs), Application-Specific Integrated Circuits (ASICs), Application Standard Products (ASSPs), System-on-Chip (SoCs), Complex Programmable Logic Devices (CPLDs), and so on.

[0119] In the context of this disclosure, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0120] The present invention provides an early warning system for jamming faults in rotary air preheaters used in thermal power plants, comprising: a detection device, a motor, a reducer, a current measuring device, and a processor. The current measuring device is connected to the motor; the processor is connected to the current measuring device and is used to acquire current data from the current measuring device and perform calculations based on the current data. Compared with related technologies, this invention solves the problem of delayed or even impossible detection of jamming by the air preheater speed measuring device. Utilizing big data modeling and artificial intelligence algorithms, it provides real-time diagnosis and early warning of jamming phenomena during air preheater operation, exhibiting significant reliability and high accuracy.

[0121] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied 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.

[0122] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0123] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0124] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0125] Although preferred embodiments of this application have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of this application.

[0126] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A method for early warning of jamming faults in rotary air preheaters of thermal power plants, characterized in that, include: Acquire current data using a current measuring device; Based on the current data and predicted current, determine whether the rotary air preheater has malfunctioned; The method further includes: acquiring historical data through a storage device; determining the predicted current based on the historical data, wherein the historical data includes unit load, total coal consumption, total water consumption, and flue gas oxygen content; The method further includes: acquiring rotational speed data through a rotational speed calculation device; determining whether the rotary air preheater has malfunctioned based on the current data and predicted current includes: determining whether the rotary air preheater has malfunctioned based on the current data, predicted current, rotational speed data, and rated rotational speed; The step of determining whether the rotary air preheater has malfunctioned based on the current data, predicted current, rotational speed data, and rated rotational speed includes: determining whether the rotary air preheater has malfunctioned based on the current data, predicted current, rotational speed data, and rated rotational speed using a prediction model; When the speed value output by the speed calculation device is greater than 80% × rated speed, and the difference between the actual current value measured by the current measurement device and the predicted current is less than 20% × I rated current, the model outputs that the air preheater is operating normally. When the speed value output by the speed calculation device is greater than 80% × rated speed, but the difference between the actual current value measured by the current measurement device and the predicted current is greater than 20% × I rated current, the model output air preheater is slightly stuck. When the speed value output by the speed calculation device is greater than 80% × rated speed, but the difference between the actual current value measured by the current measurement device and the predicted current is greater than 30% × I rated current, the model output shows moderate jamming of the air preheater. When the speed calculation device outputs a speed value > 80% × rated speed, but the difference between the actual current value measured by the current measurement device and the predicted current is > 40% × I rated current, the model output air preheater is severely jammed. When the speed value output by the speed calculation device is less than 80% × rated speed, but the difference between the actual current value measured by the current measurement device and the predicted current is less than 20% × I rated current, the model output air preheater is slightly stuck. When the speed calculation device outputs a speed value < 80% × rated speed, but the difference between the actual current value measured by the current measuring device and the predicted current is > 20% × I_rated, the model outputs that the air preheater is severely jammed. The aforementioned early warning method for jamming faults in rotary air preheaters of thermal power plants is applied to an early warning system for jamming faults in rotary air preheaters of thermal power plants. It includes a detection device, a motor, and a reducer. The system further includes a current measuring device and a processor, wherein the current measuring device is connected to the motor; the processor is connected to the current measuring device and is used to acquire current data from the current measuring device and perform calculations based on the current data.

2. The method as described in claim 1, characterized in that, The prediction model is trained using the following method: Obtain multiple training sample data with annotations; Using each of the multiple training sample data as input, the current prediction result corresponding to each training sample data is compared with the annotation result of the training sample data. The prediction model is trained and generated based on the difference between the current prediction result corresponding to each training sample data and the annotation result of the training sample data. The current prediction result corresponding to each training sample data is a value representing the current prediction in each training sample data, and the annotation result is a value representing the current prediction in the training sample data beforehand.

3. A fault early warning device for jamming in a rotary air preheater of a thermal power plant, characterized in that, include: Acquisition unit, used to acquire current data through a current measuring device; The processing unit is used to determine whether the rotary air preheater has malfunctioned based on the current data and the predicted current; the processing unit is also used to determine the predicted current based on historical data, including unit load, total coal consumption, total water consumption, and flue gas oxygen content. The acquisition unit is also used to acquire rotational speed data through the rotational speed calculation device; The processing unit is also used to determine whether the rotary air preheater has malfunctioned based on current data, predicted current, speed data, and rated speed. The processing unit is also used to: determine whether the rotary air preheater has malfunctioned based on current data, predicted current, speed data and rated speed, using a predictive model; When the speed value output by the speed calculation device is greater than 80% × rated speed, and the difference between the actual current value measured by the current measurement device and the predicted current is less than 20% × I rated current, the model outputs that the air preheater is operating normally. When the speed value output by the speed calculation device is greater than 80% × rated speed, but the difference between the actual current value measured by the current measurement device and the predicted current is greater than 20% × I rated current, the model output air preheater is slightly stuck. When the speed value output by the speed calculation device is greater than 80% × rated speed, but the difference between the actual current value measured by the current measurement device and the predicted current is greater than 30% × I rated current, the model output shows moderate jamming of the air preheater. When the speed calculation device outputs a speed value > 80% × rated speed, but the difference between the actual current value measured by the current measurement device and the predicted current is > 40% × I rated current, the model output air preheater is severely jammed. When the speed value output by the speed calculation device is less than 80% × rated speed, but the difference between the actual current value measured by the current measurement device and the predicted current is less than 20% × I rated current, the model output air preheater is slightly stuck. When the speed calculation device outputs a speed value less than 80% × rated speed, but the difference between the actual current value measured by the current measurement device and the predicted current is greater than 20% × I rated current, the model output air preheater is severely jammed.

4. An electronic device, characterized in that, include: At least one processor, at least one memory, and computer program instructions stored in the memory, which, when executed by the processor, implement the method as described in any one of claims 1-2.

5. A computer-readable storage medium having computer program instructions stored thereon, characterized in that, The method as described in any one of claims 1-2 is implemented when the computer program instructions are executed by the processor.

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