Heater maintenance method, device and system

Abstract

The embodiment of the invention provides a heater maintenance method, device and system, and relates to the field of equipment maintenance. The method comprises the following steps: acquiring monitoring data of a target part of the heater, determining a damaged area of the target part according to the monitoring data, determining a gluing path according to the structure of the target part, and gluing the damaged area according to the gluing path. The damage detection and the gluing repair of the heater do not need to be manually carried out, and automatic damage identification and automatic gluing repair can be realized through the intelligent monitoring equipment and the intelligent robot, so that the maintenance precision and the maintenance efficiency of the heater can be improved.

Description

Technical Field

[0001] The present application relates to the field of equipment maintenance, and in particular to a heater maintenance method, device and system. Background Art

[0002] In high-temperature working environments, some parts of the heater (such as bolted parts, etc.) are susceptible to thermal stress cycles, vibrations, and material fatigue, which may lead to damaged areas with cracks or other potential hazards, threatening equipment safety and energy efficiency. Therefore, it is necessary to promptly detect problems with the heater and perform maintenance through operations such as gluing.

[0003] At present, the maintenance of heaters is mainly manual inspection and repair. This method relies on the experience and visual judgment of technicians and is easily affected by human factors, which may lead to missing of small cracks or potential hidden dangers. In addition, manual repair has poor accuracy, is time-consuming, and has low maintenance efficiency. Summary of the invention

[0004] The embodiments of the present application provide a heater maintenance method, device and system to solve the technical problem of low heater maintenance efficiency.

[0005] In a first aspect, an embodiment of the present application provides a heater maintenance method, comprising:

[0006] Acquiring monitoring data of a target portion of the heater, wherein the monitoring data includes at least one of thermal imaging data, acoustic wave data, and optical data;

[0007] Determine the damaged area of ​​the target part according to the monitoring data;

[0008] The gluing path is determined according to the structure of the target part, and the gluing operation is performed on the damaged area according to the gluing path.

[0009] In a possible implementation, determining the damaged area of ​​the target part according to the monitoring data includes:

[0010] Inputting the monitoring data into a pre-trained damage detection model, wherein the data set for training the damage detection model includes thermal imaging data, acoustic wave data, and optical data characterizing heater damage;

[0011] The detection result output by the damage detection model is obtained, wherein the detection result includes the location and damage degree of the damaged area.

[0012] In a possible implementation, determining the glue coating path according to the structure of the target part includes:

[0013] Acquire a three-dimensional model corresponding to the target part;

[0014] Based on the position of the damaged area of ​​the target part in the three-dimensional model, a glue coating path is generated by a preset path planning algorithm.

[0015] In a possible implementation manner, before performing the gluing operation on the damaged area according to the gluing path, the method further includes:

[0016] Acquiring environmental information around the target part;

[0017] Determine whether there is an obstacle on the gluing path according to the environmental information, and if so, modify the gluing path according to the position of the obstacle.

[0018] In a possible implementation, performing a gluing operation on the damaged area according to the gluing path includes:

[0019] Acquiring damage degree and stress information of the damaged area;

[0020] The colloid outflow speed is determined according to the damage degree and the stress information, and based on the colloid outflow speed, a preset glue coating device is controlled to output the colloid to form a glue coating layer on the damaged area.

[0021] In a possible implementation, performing a gluing operation on the damaged area according to the gluing path further includes:

[0022] Acquiring an image including the adhesive layer formed on the damaged area;

[0023] Determine the glue coating quality of the glue coating layer in the image by using a preset image processing algorithm;

[0024] The gluing operation of the gluing device on the damaged area is adjusted according to the gluing quality.

[0025] In a possible implementation, performing a gluing operation on the damaged area according to the gluing path further includes:

[0026] The glue coating layer formed on the damaged area is heated, and the temperature change of the glue coating layer is monitored by a preset temperature sensor, so as to control the heating time and temperature of the glue coating layer according to the temperature change.

[0027] In a possible implementation, it further includes:

[0028] After applying glue to the damaged area according to the glue application path, acquiring monitoring data of the target part again;

[0029] A maintenance strategy for the target part is formulated based on the monitoring data acquired before the gluing operation, the monitoring data acquired after the gluing operation, and the operation data corresponding to the gluing operation.

[0030] In a second aspect, an embodiment of the present application provides a heater maintenance device, comprising:

[0031] An acquisition module, used to acquire monitoring data of a target part of the heater, wherein the monitoring data includes at least one of thermal imaging data, acoustic wave data and optical data;

[0032] A damage determination module, used to determine the damage area of ​​the target part according to the monitoring data;

[0033] The gluing processing module is used to determine the gluing path according to the structure of the target part, and perform gluing operation on the damaged area according to the gluing path.

[0034] In a third aspect, an embodiment of the present application provides a heater maintenance system, comprising:

[0035] A monitoring device, used to monitor the target part of the heater by means of a thermal imager and / or an ultrasonic device, so as to identify a damaged area in the target part based on the monitored thermal image data and / or ultrasonic wave data;

[0036] A cleaning device, used for cleaning the attachments in the damaged area when the damaged area is identified;

[0037] A mechanical arm equipped with a glue coating device for outputting colloid;

[0038] The controller is used to control the movement of the mechanical arm and control the glue coating device to output the glue to form a glue coating layer on the damaged area.

[0039] In a fourth aspect, an embodiment of the present application provides an electronic device, comprising: a processor, and a memory communicatively connected to the processor;

[0040] The memory stores computer-executable instructions;

[0041] The processor executes the computer-executable instructions stored in the memory, so that the processor executes the above first aspect and / or various possible implementations of the first aspect.

[0042] In a fifth aspect, an embodiment of the present application provides a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the first aspect above and / or various possible implementations of the first aspect.

[0043] In a sixth aspect, an embodiment of the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the above first aspect and / or various possible implementation methods of the first aspect.

[0044] The heater maintenance method, device and system provided in the embodiments of the present application obtain monitoring data of the target part of the heater, can determine the damaged area of ​​the target part based on the monitoring data, and then determine the gluing path based on the structure of the target part, and perform gluing operations on the damaged area according to the gluing path. The detection of heater damage and gluing repair do not require manual work, and can be automatically identified through intelligent monitoring equipment and intelligent robots. Automatic gluing repair can improve the accuracy and efficiency of heater maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0046] Figure 1 It is a flow chart of a heater maintenance method provided in an embodiment of the present application;

[0047] Figure 2 It is a schematic diagram of a process for determining a gluing path provided in an embodiment of the present application;

[0048] Figure 3 It is a schematic diagram of a process for modifying a gluing path provided in an embodiment of the present application;

[0049] Figure 4 It is a schematic diagram of a process of gluing operation provided in an embodiment of the present application;

[0050] Figure 5 is a structural schematic diagram of a heater maintenance device provided in an embodiment of the present application;

[0051] Figure 6 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application.

[0052] The above drawings have shown clear embodiments of the present application, which will be described in more detail later. These drawings and text descriptions are not intended to limit the scope of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0053] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0054] The terms "comprises", "includes" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, product or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, product or device. In the absence of further restrictions, it is not excluded that there are other identical or equivalent elements in the process, method, product or device including the elements. For example, if the words first, second, etc. are used to indicate names, they do not indicate any particular order.

[0055] At present, the inspection and maintenance of heaters mostly rely on manual inspection and manual repair, which has many defects. First, manual inspection relies on the experience and visual judgment of technicians, which is not only time-consuming, but also easily affected by human factors, and may miss small cracks or potential hidden dangers. The manual repair process is also time-consuming and labor-intensive, and each bolt mouth needs to be processed one by one, especially on large equipment, which undoubtedly increases the overall time cost of maintenance. Second, manual repair can be completed by manually applying colloid, but the uniformity and quality control of the glue are not ideal, and it is difficult to achieve long-term stable effects. The amount and thickness of the manually applied adhesive are not easy to standardize, which may lead to uneven thickness of the protective layer, affecting its sealing and durability.

[0056] To solve the above problems, the present application provides a heater maintenance method, device and system.

[0057] The technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems are described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0058] The application scenarios involved above are only partial examples, and those skilled in the art can expand the application in specific business scenarios, and the embodiments of the present application do not impose specific restrictions on this. It should be noted that the above application scenarios are only shown to facilitate understanding of the spirit and principles of the present application, and the implementation methods of the present application are not subject to any restrictions in this regard. On the contrary, the implementation methods of the present application can be applied to any applicable scenario.

[0059] Figure 1 Schematic diagram of a heater maintenance method provided in an embodiment of the present application. Figure 1 As shown, the method includes:

[0060] Step S101, acquiring monitoring data of a target part of a heater.

[0061] The target part may include a bolt interface of a heater and other parts that are prone to hidden dangers. The monitoring data includes at least one of thermal imaging data, acoustic wave data and optical data.

[0062] Specifically, high-sensitivity infrared thermal imagers and ultrasonic flaw detection technology can be used to conduct online real-time monitoring of parts such as the main heater bolt interface to obtain thermal imaging data and acoustic wave data of the part. Real-time image data of parts such as the main heater bolt interface can also be collected through visual sensors such as cameras.

[0063] Step S102, determining the damaged area of ​​the target part according to the monitoring data.

[0064] The damaged area may be cracks existing at the target location or potential hazards that may cause sparks.

[0065] Specifically, for thermal imaging data, it can be analyzed in combination with the thermal imaging data of the part under standard conditions to identify the abnormal temperature area in the monitored thermal imaging data, and further determine whether there are cracks or other safety hazards in the area; for acoustic wave data, the reflection time, frequency and amplitude changes of the acoustic wave signal reflected from the target part can be analyzed to determine the size, location and severity of the cracks; for optical data (i.e., image data), cracks or other safety hazards in the image can be identified through image processing algorithms.

[0066] It is understandable that the monitoring data may include a combination of multiple data among thermal imaging data, acoustic wave data and optical data. For example, the monitoring data may include thermal imaging data and acoustic wave data at the same time.

[0067] In some possible implementations, the monitoring data may be input into a pre-trained damage detection model; and the detection results output by the damage detection model are obtained, the detection results including the location of the damaged area and the degree of damage.

[0068] Among them, the data set for training the damage detection model contains thermal imaging data, acoustic wave data, and optical data that characterize heater damage.

[0069] For example, the thermal imaging data, acoustic wave data, and optical data monitored for the target part of the heater of the same type as the heater to be maintained can be acquired in advance, and the data reflecting the damaged area (such as cracks or potential hazards, etc.) can be annotated, and the damage detection model can be trained using the annotated data and machine learning algorithms. In this way, after the monitoring data of a specific detection point on the heater is input into the damage detection model, the model can output the probability of the detection point having a crack or ignition hazard.

[0070] Step S103, determining a gluing path according to the structure of the target part, and performing a gluing operation on the damaged area according to the gluing path.

[0071] The gluing operation can be completed by a gluing robot. The gluing robot can include a mechanical arm equipped with a gluing tool, and can use the gluing tool to apply colloid on the damaged area under the control of a preset instruction.

[0072] Specifically, the gluing path can be planned according to information such as the structure of the bolt interface and the crack location at that location, and then a robotic arm equipped with a gluing head can be used to move along the planned gluing path. When the gluing head moves to the position corresponding to the damaged area, the gluing head is controlled to flow out the colloid to form a gluing layer at the damaged area.

[0073] In some possible implementations, before applying glue to the damaged area, the process may further include: cleaning the damaged area with a preset cleaning tool. The cleaning tool may include a high-pressure particle airflow and a special chemical solvent. The attached matter may be oxides, dirt, and old glue residue.

[0074] In some possible implementations, the colloid used for coating can be a high-performance high-temperature resistant sealant. The colloid contains special fillers and can be cured at high temperatures to form a high-strength, high-toughness protective layer that effectively blocks crack propagation and electric spark penetration.

[0075] In the above embodiment, by acquiring monitoring data of the target part of the heater, the damaged area of ​​the target part can be determined according to the monitoring data, and then the gluing path can be determined according to the structure of the target part, and the gluing operation can be performed on the damaged area according to the gluing path. The detection of heater damage and gluing repair do not need to be performed manually, and automatic damage identification and automatic gluing repair can be achieved through intelligent monitoring equipment and intelligent robots, thereby improving the accuracy and efficiency of heater maintenance.

[0076] In one embodiment, Figure 2 As shown, the glue application path is determined according to the structure of the target part, including:

[0077] Step S201, obtaining a three-dimensional model corresponding to the target part.

[0078] The three-dimensional model may be pre-established according to the structure of the target part.

[0079] For example, the target part may be a heater bolt interface. Before the gluing operation is performed, the interface may be accurately measured using 3D scanning technology to construct a three-dimensional model of the part.

[0080] Step S202, based on the position of the damaged area of ​​the target part in the three-dimensional model, a glue coating path is generated by a preset path planning algorithm.

[0081] Specifically, based on the constructed three-dimensional model and the position of the damaged area in the three-dimensional model, a preset path planning algorithm can be used to design a gluing path so that the gluing tool that outputs the colloid can move along the path to cover the part of the damaged area that needs to be glued. The path planning algorithm can be an A* algorithm or an RRT algorithm. The A* algorithm (also known as the A star algorithm) is a heuristic search algorithm. The RRT (Rapid Random Tree) algorithm is a path planning algorithm based on random sampling.

[0082] In some possible implementations, the position of the damaged area in the three-dimensional model can be determined by 3D scanning and modeling the target part, or the position of the damaged area can be located based on the sound wave data of the target part and converted into the position in the three-dimensional model.

[0083] In one embodiment, Figure 3 As shown, before applying glue to the damaged area according to the glue application path, the following steps are also included:

[0084] Step S301, obtaining environmental information around the target part.

[0085] Step S302, determining whether there is an obstacle on the gluing path according to the environmental information, and if so, modifying the gluing path according to the position of the obstacle.

[0086] Specifically, environmental information around the target part of the heater can be obtained through devices such as cameras or radars. If there are obstacles or restricted areas such as other equipment components on the gluing path, the gluing path can be dynamically adjusted so that the adjusted path can avoid other equipment components or restricted areas around the target part, thereby improving the safety of the gluing operation.

[0087] In one embodiment, Figure 4 As shown, the damaged area is glued according to the glue coating path, including:

[0088] Step S401, obtaining the damage degree and stress information of the damaged area.

[0089] In some possible implementations, the thermal imaging data, acoustic wave data, and optical data of the target part can be analyzed to determine whether the damaged area of ​​the part is a crack or other type of potential danger point, and the degree of damage can be evaluated based on parameters such as the size of the part and the crack width.

[0090] In some possible implementations, the detection data of the target part may also be processed by a damage detection model, and parameters representing the damage degree and stress information may be output after being processed by the model.

[0091] Step S402, determining the colloid outflow speed according to the damage degree and stress information, and controlling a preset glue coating device to output the colloid based on the colloid outflow speed to form a glue coating layer on the damaged area.

[0092] The gluing device may be a robotic arm or an intelligent robot equipped with a gluing head.

[0093] For example, if the glue coating operation is completed by an intelligent robot, the pumping system and the robot's mechanical arm movement speed can be adjusted to control the amount of colloid output by the glue coating head on the mechanical arm at a certain position. Through the coordinated work of the pressure sensor and the speed encoder, the colloid outflow rate is kept constant, thereby obtaining a uniform and consistent glue coating layer.

[0094] Optionally, the intelligent robot can also adjust the gluing strategy dynamically through pre-programming or machine learning algorithms according to parameters such as the size of the target part and the depth of the crack. The adjustment of the gluing strategy can take into account the actual conditions of different areas. For example, a thicker gluing layer may be required in the stress concentration area, while the smooth and continuous part can be appropriately thinned to save materials and ensure the reinforcement effect.

[0095] Optionally, for high stress areas formed during the design or use of the heater, the ability of the area to resist crack formation can be enhanced in advance by applying glue.

[0096] In one embodiment, Figure 4 As shown, the damaged area is glued according to the glue coating path, and further includes:

[0097] Step S403, acquiring an image including the adhesive layer formed on the damaged area.

[0098] Step S404, determining the glue coating quality of the glue coating layer in the image by using a preset image processing algorithm.

[0099] Step S405, adjusting the gluing operation of the gluing device on the damaged area according to the gluing quality.

[0100] Specifically, the image of the damaged area of ​​the target part after the glue coating operation can be obtained through a camera or other image acquisition device, and the uniformity and thickness of the glue coating layer can be identified through an image processing algorithm. The glue coating quality is evaluated based on the uniformity and thickness of the glue coating layer. If the glue coating quality does not meet the preset standard, the action of the glue coating head can be adjusted to ensure that the glue coating quality meets the standard. For example, the glue coating head can be controlled to move to the glue coating layer that does not meet the quality standard and re-apply it, or the glue outflow speed of the glue coating head can be accelerated or reduced to make the glue coating layer formed subsequently meet the standard.

[0101] In some possible implementations, the glue coating quality is determined by an image processing algorithm, or a standard glue coating image in which the uniformity and thickness of the glue coating layer meet the requirements can be obtained in advance by computer simulation or other means. The glue coating quality is evaluated by comparing the difference between the standard glue coating image and the image after the glue coating operation captured by the equipment.

[0102] In some possible implementations, performing a gluing operation on the damaged area according to the gluing path further includes:

[0103] The glue coating layer formed on the damaged area is heated, and the temperature change of the glue coating layer is monitored by a preset temperature sensor to control the heating time and temperature of the glue coating layer according to the temperature change.

[0104] Specifically, after the damaged area is coated with glue to form a glue layer, a local heat source can be used to quickly and evenly heat it to a preset temperature to accelerate the curing process of the glue. In addition, the temperature change can be monitored by a built-in temperature sensor to control the heating time and temperature to prevent overheating and damage to the heater body.

[0105] In one embodiment, the heater maintenance method may further include:

[0106] After gluing the damaged area according to the gluing path, the monitoring data of the target part is obtained again; based on the monitoring data obtained before the gluing operation, the monitoring data obtained after the gluing operation and the operation data corresponding to the gluing operation, a maintenance strategy for the target part is formulated.

[0107] Specifically, after the gluing operation is completed, the target parts such as the bolt interface of the heater can be monitored again by equipment such as thermal imagers and ultrasonic devices to obtain thermal imaging data and acoustic wave data after gluing, and the maintenance effect of the gluing operation can be verified based on the data obtained again.

[0108] In some possible implementations, the data obtained by monitoring the target part of the heater before and after the gluing operation and the gluing operation data can also be entered into a designated database, which can be used to track the maintenance effect of the heater in the long term, so as to facilitate the formulation of subsequent maintenance strategies by reading the monitoring data and gluing operation data in the database, and provide data support for the health management of the heater. The monitoring data and gluing operation data in the database can also be used to optimize the damage detection model and path planning related algorithms, thereby improving the intelligent level of heater maintenance.

[0109] According to another aspect of the present application, a heater maintenance system is provided. The heater maintenance system comprises:

[0110] The monitoring device is used to monitor the target part of the heater through a thermal imager and / or an ultrasonic device to identify the damaged area in the target part based on the monitored thermal imaging data and / or acoustic wave data.

[0111] The cleaning device is used to clean the attachments in the damaged area when the damaged area is identified.

[0112] The mechanical arm is equipped with a glue coating device for outputting colloid.

[0113] The controller is used to control the movement of the mechanical arm and control the glue coating device to output the glue to form a glue coating layer on the damaged area.

[0114] Among them, the monitoring device can use a high-sensitivity infrared thermal imager and ultrasonic flaw detection technology to perform online real-time monitoring of the main heater bolt interface and automatically identify cracks or potential ignition hazards.

[0115] After identifying cracks or potential hazards, the cleaning device can use high-pressure particulate airflow and special chemical solvents to remove oxides, dirt and old glue residues at the bolt interface to ensure the adhesion of subsequent glue coating.

[0116] The glue coating device can accurately apply the preset colloid according to the preset path and the glue coating amount controlled by the algorithm under the control of the controller. The colloid can be a high-temperature resistant sealing graphite glue. The colloid contains special fillers and can be cured at high temperature to form a high-strength and high-toughness protective layer, effectively blocking crack expansion and electric spark penetration.

[0117] The heater maintenance system of the embodiment of the present application can be used for part or all of the steps in any of the above-mentioned heater maintenance method embodiments.

[0118] The heater maintenance system of the embodiment of the present application can realize a fully automated process from detection to repair, greatly improving efficiency and accuracy. The high-temperature resistant sealing graphite glue and intelligent gluing technology adopted can significantly extend the service life of the heater and reduce safety hazards.

[0119] Figure 5 This is a schematic diagram of the structure of a heater maintenance device provided in an embodiment of the present application. Figure 5 As shown, the heater maintenance device 500 may include:

[0120] The acquisition module 501 is used to acquire monitoring data of a target part of the heater, wherein the monitoring data includes at least one of thermal imaging data, acoustic wave data and optical data.

[0121] The damage determination module 502 is used to determine the damage area of ​​the target part according to the monitoring data.

[0122] The gluing processing module 503 is used to determine a gluing path according to the structure of the target part, and perform a gluing operation on the damaged area according to the gluing path.

[0123] In one embodiment, the damage determination module 502 may include:

[0124] The data input unit can be used to input the monitoring data into a pre-trained damage detection model, and the data set for training the damage detection model includes thermal imaging data, acoustic wave data and optical data that characterize heater damage.

[0125] The model output unit can be used to obtain the detection result output by the damage detection model, and the detection result includes the position and damage degree of the damaged area.

[0126] In one embodiment, the gluing processing module 503 is further used to: obtain environmental information around the target part; determine whether there is an obstacle on the gluing path according to the environmental information, and if so, modify the gluing path according to the position of the obstacle.

[0127] In one embodiment, the gluing processing module 503 may include:

[0128] The first acquisition unit can be used to acquire a three-dimensional model corresponding to the target part.

[0129] The path generation unit can be used to generate a glue coating path based on the position of the damaged area of ​​the target part in the three-dimensional model through a preset path planning algorithm.

[0130] In one embodiment, the gluing processing module 503 may include:

[0131] The second acquisition unit can be used to acquire the damage degree and stress information of the damaged area.

[0132] The glue coating unit can be used to determine the colloid outflow speed according to the damage degree and the stress information, and control the preset glue coating device to output the colloid based on the colloid outflow speed to form a glue coating layer on the damaged area.

[0133] In one embodiment, the gluing processing module 503 may include:

[0134] The third acquisition unit can be used to acquire an image including the glue coating layer formed on the damaged area.

[0135] The quality determination unit may be used to determine the glue coating quality of the glue coating layer in the image by using a preset image processing algorithm.

[0136] The gluing adjustment unit can be used to adjust the gluing operation of the gluing device on the damaged area according to the gluing quality.

[0137] In one embodiment, the glue processing module 503 is also used to: heat the glue layer formed on the damaged area, and monitor the temperature change of the glue layer through a preset temperature sensor to control the heating time and temperature of the glue layer according to the temperature change.

[0138] In one embodiment, the heater maintenance device 500 may further include:

[0139] The monitoring module can be used to obtain the monitoring data of the target part again after the glue coating operation is performed on the damaged area according to the glue coating path.

[0140] The strategy formulation module can be used to formulate a maintenance strategy for the target part based on the monitoring data obtained before the gluing operation, the monitoring data obtained after the gluing operation, and the operation data corresponding to the gluing operation.

[0141] The heater maintenance device provided in this embodiment is used to execute the technical solution in any of the aforementioned method embodiments. Its implementation principle and technical effect are similar and will not be repeated here.

[0142] It should be understood that the above-mentioned device embodiments are only illustrative, and the device of the present application can also be implemented in other ways. For example, the division of units / modules in the above-mentioned embodiments is only a logical function division, and there may be other division methods in actual implementation. For example, multiple units, modules or components can be combined, or can be integrated into another system, or some features can be ignored or not executed.

[0143] In addition, unless otherwise specified, each functional unit / module in each embodiment of the present application may be integrated into one unit / module, each unit / module may exist physically separately, or two or more units / modules may be integrated together. The above-mentioned integrated unit / module may be implemented in the form of hardware or in the form of a software program module.

[0144] Figure 6 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. Figure 6 As shown, the electronic device 60 may include:

[0145] Processor 61, memory 62, and communication interface 63;

[0146] The memory 62 is used to store executable instructions of the processor 61; the executable instructions may be computer-executable instructions;

[0147] The processor 61 is configured to execute the technical solution in any of the aforementioned method embodiments by executing the executable instructions.

[0148] Optionally, the memory 62 may be independent or integrated with the processor 61 .

[0149] Optionally, when the memory 62 is a device independent of the processor 61, the electronic device 60 may further include:

[0150] The bus 64 , the memory 62 and the communication interface 63 are connected to the processor 61 via the bus 64 and communicate with each other. The communication interface 63 is used to communicate with other devices.

[0151] Optionally, the communication interface 63 may be implemented by a transceiver. The communication interface is used to implement communication between the database access device and other devices (such as a client, a read-write library, and a read-only library). The memory may include a random access memory (RAM) and may also include a non-volatile memory (non-volatile memory), such as at least one disk storage.

[0152] The bus 64 may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, only one line is used in the figure, but it does not mean that there is only one bus or one type of bus.

[0153] The above-mentioned processor can be a general-purpose processor, including a central processing unit CPU, a network processor (NP), etc.; it can also be a digital signal processor DSP, an application-specific integrated circuit ASIC, a field programmable gate array FPGA or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

[0154] The electronic device is used to execute the technical solution in any of the aforementioned method embodiments, and its implementation principle and technical effect are similar and will not be repeated here.

[0155] An embodiment of the present application also provides a readable storage medium, which may be a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the technical solution provided by any of the aforementioned method embodiments is implemented.

[0156] An embodiment of the present application also provides a computer program product, including a computer program, which is used to implement the technical solution provided by any of the aforementioned method embodiments when executed by a processor.

[0157] In the above embodiments, the description of each embodiment has its own emphasis. For the part not described in detail in a certain embodiment, please refer to the relevant description of other embodiments. The technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, all possible combinations of the technical features in the above embodiments are not described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0158] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0159] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, 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 a number of instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the various embodiments of the present application. 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, and other media that can store program codes.

[0160] Those skilled in the art can understand that all or part of the steps of implementing the above-mentioned method embodiments can be completed by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, the steps of the above-mentioned method embodiments are executed; and the aforementioned storage medium includes: ROM, RAM, disk or optical disk and other media that can store program codes.

[0161] Finally, it should be noted that those skilled in the art will readily conceive of other embodiments of the present invention after considering the specification and practicing the invention disclosed herein. The present invention is intended to cover any variations, uses or adaptations of the present invention, which follow the general principles of the present invention and include common knowledge or customary technical means in the art not disclosed by the present invention, are not limited to the precise structure described above and shown in the drawings, and may be modified and changed in various ways without departing from the scope thereof. The scope of the present invention is limited only by the appended claims.

Claims

1. A heater maintenance method, characterized in that: include: Acquiring monitoring data of a target portion of the heater, wherein the monitoring data includes at least one of thermal imaging data, acoustic wave data, and optical data; Determine the damaged area of ​​the target part according to the monitoring data; The gluing path is determined according to the structure of the target part, and the gluing operation is performed on the damaged area according to the gluing path.

2. The heater maintenance method according to claim 1, characterized in that: Determining the damaged area of ​​the target part according to the monitoring data includes: Inputting the monitoring data into a pre-trained damage detection model, wherein the data set for training the damage detection model includes thermal imaging data, acoustic wave data, and optical data characterizing heater damage; The detection result output by the damage detection model is obtained, wherein the detection result includes the location and damage degree of the damaged area.

3. The heater maintenance method according to claim 1 or 2, characterized in that: The step of determining the gluing path according to the structure of the target part comprises: Acquire a three-dimensional model corresponding to the target part; Based on the position of the damaged area of ​​the target part in the three-dimensional model, a glue coating path is generated by a preset path planning algorithm.

4. The heater maintenance method according to claim 1 or 2, characterized in that: Before performing the gluing operation on the damaged area according to the gluing path, the method further includes: Acquiring environmental information around the target part; Determine whether there is an obstacle on the gluing path according to the environmental information, and if so, modify the gluing path according to the position of the obstacle.

5. The heater maintenance method according to claim 1 or 2, characterized in that: The step of applying glue to the damaged area according to the gluing path includes: Acquiring damage degree and stress information of the damaged area; The colloid outflow speed is determined according to the damage degree and the stress information, and based on the colloid outflow speed, a preset glue coating device is controlled to output the colloid to form a glue coating layer on the damaged area.

6. The heater maintenance method according to claim 5, characterized in that: The step of applying glue to the damaged area according to the gluing path further includes: Acquiring an image including the adhesive layer formed on the damaged area; Determine the glue coating quality of the glue coating layer in the image by using a preset image processing algorithm; The gluing operation of the gluing device on the damaged area is adjusted according to the gluing quality.

7. The heater maintenance method according to claim 5, characterized in that: The step of applying glue to the damaged area according to the gluing path further includes: The glue coating layer formed on the damaged area is heated, and the temperature change of the glue coating layer is monitored by a preset temperature sensor, so as to control the heating time and temperature of the glue coating layer according to the temperature change.

8. The heater maintenance method according to claim 1 or 2, characterized in that: Also includes: After applying glue to the damaged area according to the glue application path, acquiring monitoring data of the target part again; A maintenance strategy for the target part is formulated based on the monitoring data acquired before the gluing operation, the monitoring data acquired after the gluing operation, and the operation data corresponding to the gluing operation.

9. A heater maintenance device, characterized in that: include: An acquisition module, used to acquire monitoring data of a target part of the heater, wherein the monitoring data includes at least one of thermal imaging data, acoustic wave data and optical data; A damage determination module, used to determine the damage area of ​​the target part according to the monitoring data; The gluing processing module is used to determine the gluing path according to the structure of the target part, and perform gluing operation on the damaged area according to the gluing path.

10. A heater maintenance system, characterized in that: include: A monitoring device, used to monitor the target part of the heater by means of a thermal imager and / or an ultrasonic device, so as to identify a damaged area in the target part based on the monitored thermal image data and / or ultrasonic wave data; A cleaning device, used for cleaning the attachments in the damaged area when the damaged area is identified; A mechanical arm equipped with a glue coating device for outputting colloid; The controller is used to control the movement of the mechanical arm and control the glue coating device to output the glue to form a glue coating layer on the damaged area.

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