Thermal power plant ash pile state judgment method, device and equipment
By constructing a 3D model of ash piles using a multi-camera system and deep learning algorithms, the safety hazards and real-time issues of ash pile status monitoring in thermal power plants have been resolved. This has enabled high-precision, real-time reconstruction and monitoring of ash pile morphology, supporting safe production and intelligent transformation of thermal power plants.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- GUODIAN TAIZHOU LONGYUAN ENVIRONMENTAL PROTECTION CO LTD
- Filing Date
- 2026-01-06
- Publication Date
- 2026-05-19
AI Technical Summary
Traditional methods for monitoring the condition of ash and slag piles in thermal power plants have safety hazards and insufficient real-time performance. Manual observation is easily obscured by smoke and dust, and optical and laser scanning instruments cannot meet the dual requirements of real-time performance and safety in smoke and dust environments.
A multi-camera system is used to acquire images of ash piles. A 3D model is constructed through preprocessing and foreground extraction. Combined with adaptive filtering and deep learning algorithms, high-precision, real-time monitoring and dynamic modeling of ash pile status are achieved.
It achieves high-precision and rapid reconstruction and real-time monitoring in complex dusty environments, replacing manual inspections and traditional instruments, and providing technical support for unmanned monitoring and intelligent transformation.
Smart Images
Figure CN122066643A_ABST
Abstract
Description
Technical Field
[0001] This disclosure relates to the field of three-dimensional reconstruction, and in particular to the field of determining the state of ash and slag heaps in thermal power plants. Background Technology
[0002] During long-term operation, thermal power plant boilers generate a large amount of slag, which continuously accumulates in the slag bins, exhibiting characteristics such as high temperature, easy collapse, and dynamic volume changes. Traditional ash pile condition monitoring mainly relies on manual observation or laser / optical measurement equipment. Manual observation not only poses environmental risks such as high temperature and high dust, but is also easily obscured by smoke and dust, leading to inaccurate judgments and significant safety hazards. Although existing optical and laser scanning instruments can achieve a certain degree of three-dimensional measurement, they often suffer from visual failure and data delays in industrial environments filled with smoke and dust, making it difficult to meet the dual requirements of real-time performance and safety in thermal power plants.
[0003] Therefore, how to accurately and effectively determine the state of ash piles has become an urgent problem to be solved. Summary of the Invention
[0004] This disclosure provides a method, apparatus, equipment, and storage medium for determining the state of ash and slag piles in thermal power plants.
[0005] According to a first aspect of this disclosure, a method for determining the condition of ash and slag piles in thermal power plants is provided. The method includes: Acquire images of the ash pile; The acquired image is preprocessed to obtain a preprocessed image; The foreground of the preprocessed image is extracted to obtain a foreground image of the ash pile. Based on the foreground ash pile image, construct a three-dimensional model of the ash pile; Based on the three-dimensional model of the ash pile, determine the current state of the ash pile.
[0006] In addition to the aspects and any possible implementations described above, a further implementation is provided in which acquiring the image of the ash pile includes: The acquisition of images captured by cameras around the ash pile, wherein the cameras include multiple cameras, which are respectively set in a first layer area and a second layer area. The first layer area is centered on the center of the ash pile and has a radius of a first preset length. The second layer area is centered on the center of the ash pile and has a radius of a second preset length. The first layer area is located above the second layer area, and the second preset length is greater than the first preset length.
[0007] In addition to the aspects and any possible implementations described above, a further implementation is provided, wherein preprocessing the acquired image to obtain a preprocessed image includes: The acquired image is filtered and denoised to obtain the preprocessed image, which includes the edge of the ash pile and the texture of the ash pile.
[0008] In addition to the aspects described above and any possible implementations, a further implementation is provided, wherein the method further includes: Determine whether the current state has reached the preset state of the ash pile; If the current state reaches the preset state, then the warning method for the preset state is determined; Issue warnings according to the described warning method.
[0009] In addition to the aspects described above and any possible implementations, a further implementation is provided, wherein the method further includes: Based on the three-dimensional model of the ash pile, determine the volume and height of the ash pile; The volume and height of the ash pile are compared with the ash pile scheduling volume threshold and the ash pile scheduling height threshold, respectively. Based on the comparison results, a scheduling reminder for the ash and slag pile is issued.
[0010] In addition to the aspects and any possible implementations described above, a further implementation is provided, which constructs a three-dimensional model of the ash pile based on the foreground ash pile image, including: Determine the current quantity of the foreground ash image; Determine whether the current quantity is greater than the preset quantity; If the current quantity is greater than the preset quantity, then determine whether the foreground ash image is continuous; If the foreground ash image is continuous, then the three-dimensional model is constructed.
[0011] According to a second aspect of this disclosure, a device for determining the condition of ash and slag piles in thermal power plants is provided. The device includes: The acquisition module is used to acquire images of the ash pile; The preprocessing module is used to preprocess the acquired image to obtain a preprocessed image; The extraction module is used to extract the foreground from the preprocessed image to obtain a foreground ash pile image; A construction module is used to construct a three-dimensional model of the ash pile based on the foreground ash pile image; The determination module is used to determine the current state of the ash pile based on the three-dimensional model of the ash pile.
[0012] In addition to the aspects and any possible implementations described above, a further implementation is provided, wherein the acquisition module is specifically used for: The acquisition of images captured by cameras around the ash pile, wherein the cameras include multiple cameras, which are respectively set in a first layer area and a second layer area. The first layer area is centered on the center of the ash pile and has a radius of a first preset length. The second layer area is centered on the center of the ash pile and has a radius of a second preset length. The first layer area is located above the second layer area, and the second preset length is greater than the first preset length.
[0013] According to a third aspect of this disclosure, an electronic device is provided. The electronic device includes a memory and a processor, wherein the memory stores a computer program, and the processor executes the program to implement the method described above.
[0014] According to a fourth aspect of this disclosure, a computer-readable storage medium is provided having a computer program stored thereon that, when executed by a processor, implements the method according to a first aspect of this disclosure.
[0015] In this disclosure, after acquiring the collected image of the ash pile, the collected image can be preprocessed to obtain a preprocessed image. Then, the foreground of the preprocessed image is extracted and the background is blurred to obtain a foreground image of the ash pile. Based on the foreground image of the ash pile, a three-dimensional model of the ash pile can be constructed. Then, based on the three-dimensional model of the ash pile, the current state of the ash pile can be determined. In this way, high-precision and rapid reconstruction and real-time monitoring of the ash pile morphology in complex dust environments can be achieved. This technology combines high-precision and high-real-time three-dimensional imaging and reconstruction, replacing manual inspection and optical and laser scanning instruments, realizing unmanned monitoring and dynamic modeling of the ash pile, and providing technical support for the safe production and intelligent transformation of thermal power plants.
[0016] It should be understood that the description in the Summary of the Invention is not intended to limit the key or essential features of the embodiments of this disclosure, nor is it intended to restrict the scope of this disclosure. Other features of this disclosure will become readily apparent from the following description. Attached Figure Description
[0017] The above and other features, advantages, and aspects of the embodiments of this disclosure will become more apparent from the accompanying drawings and the following detailed description. The drawings are provided for a better understanding of the invention and are not intended to limit the scope of this disclosure. In the drawings, the same or similar reference numerals denote the same or similar elements, wherein: Figure 1 A flowchart of a method for determining the state of ash piles in thermal power plants according to an embodiment of the present disclosure is shown. Figure 2 A schematic diagram of an image of an ash pile captured by a camera according to an embodiment of the present disclosure is shown; Figure 3 A flowchart of another method for determining the state of ash and slag piles in thermal power plants according to an embodiment of the present disclosure is shown; Figure 4 A block diagram of a thermal power plant ash pile status determination device according to an embodiment of the present disclosure is shown; Figure 5 A block diagram of an exemplary electronic device capable of implementing embodiments of the present disclosure is shown. Detailed Implementation
[0018] To make the objectives, technical solutions, and advantages of the embodiments of this disclosure clearer, the technical solutions of the embodiments of this disclosure will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this disclosure, and not all embodiments. Based on the embodiments of this disclosure, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this disclosure.
[0019] Furthermore, the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this article generally indicates that the preceding and following related objects have an "or" relationship.
[0020] Figure 1 A flowchart of a method 100 for determining the state of a thermal power plant ash pile according to an embodiment of the present disclosure is shown. Method 100 may include: Step 110: Acquire images of the ash pile; Step 120: Preprocess the acquired image to obtain a preprocessed image; Step 130: Extract the foreground from the preprocessed image to obtain a foreground ash pile image; Step 140: Construct a three-dimensional model of the ash pile based on the foreground ash pile image; Step 150: Determine the current state of the ash pile based on the three-dimensional model of the ash pile. The current state includes, but is not limited to, whether the ash pile has collapsed, is too high, or is unstable.
[0021] After acquiring images of the ash pile, the images can be preprocessed to obtain preprocessed images. Then, the foreground of the preprocessed images is extracted and the background is blurred to obtain a foreground image of the ash pile. Based on the foreground image of the ash pile, a three-dimensional model of the ash pile can be constructed. Then, based on the three-dimensional model of the ash pile, the current state of the ash pile can be determined. In this way, high-precision and rapid reconstruction and real-time monitoring of the ash pile morphology in complex dust environments can be achieved. This technology combines high-precision and high-real-time three-dimensional imaging and reconstruction, replacing manual inspection and optical and laser scanning instruments, realizing unmanned monitoring and dynamic modeling of the ash pile, and providing technical support for the safe production and intelligent transformation of thermal power plants.
[0022] In some embodiments, acquiring images of the ash pile includes: The acquisition of images captured by cameras around the ash pile, wherein the cameras include multiple cameras, which are respectively set in a first layer area and a second layer area. The first layer area is centered on the center of the ash pile and has a radius of a first preset length. The second layer area is centered on the center of the ash pile and has a radius of a second preset length. The first layer area is located above the second layer area, and the second preset length is greater than the first preset length.
[0023] like Figure 2 As shown, two rings of cameras can be arranged around the ash pile to dynamically capture images of the ash pile.
[0024] In some embodiments, preprocessing the acquired image to obtain a preprocessed image includes: The acquired image is filtered and denoised to obtain the preprocessed image, which includes the edge of the ash pile and the texture of the ash pile.
[0025] Specifically, adaptive bilateral filtering denoising can be performed on the slag heap image to reduce smoke and dust interference while preserving the edges and texture details of the slag heap.
[0026] In some embodiments, the method further includes: Determine whether the current state has reached the preset state of the ash pile; If the current state reaches the preset state, then the warning method for the preset state is determined; Issue warnings according to the described warning method.
[0027] If the current state of the ash pile reaches a preset state, the warning method for that preset state is determined, and then the warning is issued according to that warning method. In this way, different warning methods can be used for different preset states to ensure accurate warnings.
[0028] In some embodiments, the method further includes: Based on the three-dimensional model of the ash pile, determine the volume and height of the ash pile; The volume and height of the ash pile are compared with the ash pile scheduling volume threshold and the ash pile scheduling height threshold, respectively. Based on the comparison results, a scheduling reminder for the ash and slag pile is issued.
[0029] Based on the three-dimensional model of the ash pile, the volume and height of the ash pile can be determined. Then, these values are compared with the ash pile scheduling volume threshold and the ash pile scheduling height threshold, respectively. If the volume of the ash pile reaches the ash pile scheduling volume threshold and / or the height of the ash pile reaches the ash pile scheduling height threshold, it indicates that the ash pile needs to be scheduled. Therefore, a timely ash pile scheduling reminder can be issued to remind staff to remove the ash pile in a timely manner.
[0030] In some embodiments, constructing a three-dimensional model of the ash pile based on the foreground ash pile image includes: Determine the current quantity of the foreground ash image; Determine whether the current quantity is greater than the preset quantity; If the current quantity is greater than the preset quantity, then determine whether the foreground ash image is continuous; If the foreground ash image is continuous, then the three-dimensional model is constructed.
[0031] After obtaining the current quantity of foreground ash images, it can be determined whether the current quantity is greater than a preset quantity. If the current quantity is greater than the preset quantity, it means that there are enough foreground ash images. It can then be determined whether the foreground ash images are continuous. If the foreground ash images are continuous, it means that the foreground ash pile images are also continuous and have not changed drastically. Therefore, these foreground ash pile images can be used to construct the three-dimensional model to ensure the accuracy of the three-dimensional model.
[0032] The following will combine Figure 2 and Figure 3 The method for determining the state of ash and slag piles in thermal power plants according to the present invention further includes: Images of the slag heap were acquired from 12-view cameras positioned above and in the middle of the slag heap, such as... Figure 2As shown, adaptive bilateral filtering is performed on the slag heap image to reduce smoke and dust interference while preserving the edges and texture details of the slag heap. The denoised slag heap image is then input into the DeepLabV3+ semantic segmentation model optimized by transfer learning to segment the foreground image of the slag heap. The segmented multi-view foreground image is then input into the 3DGStream three-dimensional reconstruction algorithm, which dynamically generates a high-precision three-dimensional model of the slag heap through neural transformation caching and adaptive Gaussian augmentation mechanism.
[0033] Secondly, this application provides a system for determining the state of ash and slag piles in thermal power plants, such as... Figure 3 As shown, it includes: The image acquisition module uses a dual-layer camera system ("top six, middle six") to acquire images of the slag heap. The smoke and dust denoising module is used to perform an adaptive bilateral filtering algorithm to reduce smoke and dust interference and enhance details; The foreground segmentation module is used to input the denoised image into the DeepLabV3+ model and output the foreground slag heap image; The 3D reconstruction module is used to perform dynamic 3D reconstruction of segmented multi-view images using the 3DGStream algorithm.
[0034] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that this disclosure is not limited to the described order of actions, because according to this disclosure, some steps can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily essential to this disclosure.
[0035] The above is an introduction to the method embodiments. The following describes the solution described in this disclosure further through device embodiments.
[0036] Figure 4 A block diagram of a thermal power plant ash pile condition determination device 400 according to an embodiment of the present disclosure is shown. Figure 4 As shown, the device 400 includes: Acquisition module 410 is used to acquire images of the ash pile; Preprocessing module 420 is used to preprocess the acquired image to obtain a preprocessed image; Extraction module 430 is used to extract the foreground from the preprocessed image to obtain a foreground ash pile image; The construction module 440 is used to construct a three-dimensional model of the ash pile based on the foreground ash pile image; The determination module 450 is used to determine the current state of the ash pile based on the three-dimensional model of the ash pile.
[0037] In some embodiments, the acquisition module 410 is specifically used for: The acquisition of images captured by cameras around the ash pile, wherein the cameras include multiple cameras, which are respectively set in a first layer area and a second layer area. The first layer area is centered on the center of the ash pile and has a radius of a first preset length. The second layer area is centered on the center of the ash pile and has a radius of a second preset length. The first layer area is located above the second layer area, and the second preset length is greater than the first preset length.
[0038] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the described module can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.
[0039] According to embodiments of the present disclosure, the present disclosure also provides an electronic device and a non-transitory computer-readable storage medium storing computer instructions.
[0040] Figure 5 A schematic block diagram of an electronic device 800 that can be used to implement embodiments of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the present disclosure described and / or claimed herein.
[0041] Device 800 includes a computing unit 801, which can perform various appropriate actions and processes based on a computer program stored in read-only memory (ROM) 802 or a computer program loaded from storage unit 808 into random access memory (RAM) 803. RAM 803 may also store various programs and data required for the operation of device 800. The computing unit 801, ROM 802, and RAM 803 are interconnected via bus 804. Input / output (I / O) interface 805 is also connected to bus 804.
[0042] Multiple components in device 800 are connected to I / O interface 805, including: input unit 806, such as keyboard, mouse, etc.; output unit 807, such as various types of monitors, speakers, etc.; storage unit 808, such as disk, optical disk, etc.; and communication unit 809, such as network card, modem, wireless transceiver, etc. Communication unit 809 allows device 800 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.
[0043] The computing unit 801 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the computing unit 801 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 801 performs the various methods and processes described above, such as method 100. For example, in some embodiments, method 100 may be implemented as a computer software program tangibly contained in a machine-readable medium, such as storage unit 808. In some embodiments, part or all of the computer program may be loaded and / or installed on device 800 via ROM 802 and / or communication unit 809. When the computer program is loaded into RAM 803 and executed by the computing unit 801, one or more steps of method 100 described above may be performed. Alternatively, in other embodiments, the computing unit 801 may be configured to perform method 100 by any other suitable means (e.g., by means of firmware).
[0044] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.
[0045] The program code used to implement the methods of this disclosure may be written in any combination of one or more programming languages. This program code may be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing apparatus, such that when executed by the processor or controller, the program code causes the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The program code may be executed entirely on a machine, partially on a machine, as a standalone software package partially on a machine and partially on a remote machine, or entirely on a remote machine or server.
[0046] 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.
[0047] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device for displaying information to the user (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor); and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the computer. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).
[0048] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as a data server), or computing systems that include middleware components (e.g., an application server), or computing systems that include frontend components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., a communication network). Examples of communication networks include local area networks (LANs), wide area networks (WANs), and the Internet.
[0049] Computing systems can include clients and servers. Clients and servers are generally located far apart and typically interact via communication networks. Client-server relationships are created by computer programs running on the respective computers and having a client-server relationship with each other. Servers can be cloud servers, servers in distributed systems, or servers incorporating blockchain technology.
[0050] It should be understood that the various forms of processes shown above can be used to rearrange, add, or delete steps. For example, the steps described in this disclosure can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution disclosed in this disclosure can be achieved, and this is not limited herein.
[0051] The specific embodiments described above do not constitute a limitation on the scope of protection of this disclosure. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this disclosure should be included within the scope of protection of this disclosure.
Claims
1. A method for determining the state of ash and slag piles in thermal power plants, characterized in that, include: Acquire images of the ash pile; The acquired image is preprocessed to obtain a preprocessed image; The foreground of the preprocessed image is extracted to obtain a foreground image of the ash pile. Based on the foreground ash pile image, construct a three-dimensional model of the ash pile; Based on the three-dimensional model of the ash pile, determine the current state of the ash pile.
2. The method as described in claim 1, characterized in that, The acquisition of images of the ash pile includes: The acquisition of images captured by cameras around the ash pile, wherein the cameras include multiple cameras, which are respectively set in a first layer area and a second layer area. The first layer area is centered on the center of the ash pile and has a radius of a first preset length. The second layer area is centered on the center of the ash pile and has a radius of a second preset length. The first layer area is located above the second layer area, and the second preset length is greater than the first preset length.
3. The method as described in claim 1, characterized in that, The step of preprocessing the acquired image to obtain a preprocessed image includes: The acquired image is filtered and denoised to obtain the preprocessed image, which includes the edge of the ash pile and the texture of the ash pile.
4. The method as described in claim 1, characterized in that, The method further includes: Determine whether the current state has reached the preset state of the ash pile; If the current state reaches the preset state, then the warning method for the preset state is determined; Issue warnings according to the described warning method.
5. The method as described in claim 1, characterized in that, The method further includes: Based on the three-dimensional model of the ash pile, determine the volume and height of the ash pile; The volume and height of the ash pile are compared with the ash pile scheduling volume threshold and the ash pile scheduling height threshold, respectively. Based on the comparison results, a scheduling reminder for the ash and slag pile is issued.
6. The method according to any one of claims 1 to 5, characterized in that, Based on the foreground ash pile image, a three-dimensional model of the ash pile is constructed, including: Determine the current quantity of the foreground ash image; Determine whether the current quantity is greater than the preset quantity; If the current quantity is greater than the preset quantity, then determine whether the foreground ash image is continuous; If the foreground ash image is continuous, then the three-dimensional model is constructed.
7. A device for determining the state of ash and slag piles in thermal power plants, characterized in that, include: The acquisition module is used to acquire images of the ash pile; The preprocessing module is used to preprocess the acquired image to obtain a preprocessed image; The extraction module is used to extract the foreground from the preprocessed image to obtain a foreground ash pile image; A construction module is used to construct a three-dimensional model of the ash pile based on the foreground ash pile image; The determination module is used to determine the current state of the ash pile based on the three-dimensional model of the ash pile.
8. The apparatus as claimed in claim 7, characterized in that, The acquisition module is specifically used for: The acquisition of images captured by cameras around the ash pile, wherein the cameras include multiple cameras, which are respectively set in a first layer area and a second layer area. The first layer area is centered on the center of the ash pile and has a radius of a first preset length. The second layer area is centered on the center of the ash pile and has a radius of a second preset length. The first layer area is located above the second layer area, and the second preset length is greater than the first preset length.
9. An electronic device, characterized in that, include: Memory and processor The memory stores a computer program, and when the processor executes the program, it implements the method as described in any one of claims 1-6.
10. A computer-readable storage medium, characterized in that, When the instructions in the storage medium are executed by the processor corresponding to the electronic device, the electronic device is able to implement the method for determining the state of ash and slag piles in thermal power plants as described in any one of claims 1-6.