Air-cooled island cleaning method, device, equipment and storage medium

Abstract

The application provides an air-cooled island cleaning method, device, equipment and storage medium. The method comprises: a processor applied to a power plant cooling system, the power plant cooling system further comprising a memory, an air-cooled island and a cleaning robot, the air-cooled island comprising a plurality of heat dissipation areas, the heat dissipation area comprising a plurality of heat dissipation fins, and the cleaning robot being used for cleaning the heat dissipation area; the method comprises: acquiring an actual temperature value and a theoretical temperature value of the heat dissipation fin; acquiring a dirt parameter of the heat dissipation fin according to the actual temperature value and the theoretical temperature value; and cleaning the heat dissipation area where the heat dissipation fin is located according to the dirt parameter of the heat dissipation fin. In this way, it can be effectively judged whether the heat dissipation fin needs to be cleaned.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of air-cooled island air cooling heat dissipation, and more particularly, to an air-cooled island cleaning method, device, equipment and storage medium. BACKGROUND

[0002] With the gradual strengthening of national energy saving and environmental protection policy, in order to save water, air-cooled units are widely used to replace traditional wet cooling units. At present, air cooling is a mode mainly used by thermal power generating units.

[0003] The large area and compact structure of the air-cooled heat dissipation fin easily cause dust and willow catkin and other substances to deposit, increase the thermal resistance and affect the overall heat exchange efficiency, cause the unit back pressure to rise, the air-cooled fan power consumption rate to increase and other problems. Especially during the high load period in summer, the unit back pressure rising is the main factor to reduce the unit load carrying capacity, which directly affects the stability of the power grid. Therefore, the direct air-cooled heat dissipation fin needs to be flushed regularly.

[0004] In the prior art, the flushing of the air-cooled heat dissipation fin is mainly based on experience and regular flushing, which cannot effectively determine whether the air-cooled heat dissipation fin needs to be cleaned. SUMMARY

[0005] According to the embodiments of the present application, an air-cooled island cleaning scheme is provided.

[0006] In the first aspect of the present application, an air-cooled island cleaning method is provided. The method comprises:

[0007] A processor applied to a power plant cooling system, the power plant cooling system further comprising a database, an air-cooled island and a cleaning robot, the air-cooled island comprising a plurality of heat dissipation areas, the heat dissipation area comprising a plurality of heat dissipation fins, and the cleaning robot being used for cleaning the heat dissipation area;

[0008] The method comprises:

[0009] Obtaining the actual temperature value and the theoretical temperature value of the heat dissipation fin;

[0010] Obtaining the dirt parameter of the heat dissipation fin according to the actual temperature value and the theoretical temperature value;

[0011] According to the dirt parameter of the heat dissipation fin, it is determined whether the heat dissipation area where the heat dissipation fin is located needs to be cleaned.

[0012] In one possible implementation, a temperature detection device is arranged on the heat dissipation fin, and the temperature detection device is used to detect the temperature of the heat dissipation fin and send a temperature detection signal;

[0013] The actual temperature value in the obtaining the actual temperature value and the theoretical temperature value of the heat dissipation fin comprises:

[0014] acquire the temperature detection signal and store actual temperature value embodied by the temperature detection signal into a database, the actual temperature value being associated with test time.

[0015] In a possible implementation, the power plant cooling system further comprises a power plant SIS subsystem;

[0016] The acquiring of the actual temperature value and the theoretical temperature value of the heat sink comprises:

[0017] acquiring three-dimensional data of multiple heat sinks;

[0018] acquiring power plant SIS subsystem data, the power plant SIS subsystem data comprising unit load data, exhaust steam amount data, vacuum unit data and fan operation data;

[0019] establishing a physical model according to the three-dimensional data of the multiple heat sinks and the power plant SIS subsystem data, the physical model comprising an air-cooled heat sink physical model, a cooling fan cold-end performance model and an exhaust steam distribution flow model;

[0020] acquiring the theoretical temperature value of the heat sink according to the physical model and storing the theoretical temperature value into a database, the theoretical temperature value being associated with actual temperature value at the same time.

[0021] In a possible implementation, the acquiring of the fouling parameter of the heat sink according to the actual temperature value and the theoretical temperature value comprises:

[0022] acquiring actual temperature value and theoretical temperature value associated with the same time in the database;

[0023] obtaining coefficient K according to actual temperature value divided by theoretical temperature value;

[0024] obtaining the fouling parameter of the heat sink according to coefficient K-1.

[0025] In a possible implementation, the cleaning of the heat sink according to the fouling parameter of the heat sink comprises:

[0026] when the fouling parameter of the heat sink reaches a preset first fouling threshold value, recording a first integral for the heat sink;

[0027] when the fouling parameter of the heat sink reaches a preset second fouling threshold value, recording a second integral for the heat sink;

[0028] when the sum of the integrals of all heat sinks in the heat dissipation area is greater than or equal to an integral threshold value, controlling the cleaning robot to clean the heat dissipation area.

[0029] In a possible implementation, when the dirt parameter of the heat dissipation fin reaches a preset third dirt threshold, the cleaning robot is controlled to clean the heat dissipation area where the heat dissipation fin is located.

[0030] In a possible implementation, the third dirt threshold is greater than the second dirt threshold, the second dirt threshold is greater than the first dirt threshold, and the second integral is greater than the first integral.

[0031] According to the above technical solution, the air cooling island cleaning method disclosed by the application can be applied to a power plant cooling system. The air cooling island is divided into a plurality of heat dissipation areas, each heat dissipation area contains a plurality of heat dissipation fins, a temperature detection device is installed on each heat dissipation fin, the temperature detection device detects the temperature of the heat dissipation fin and sends a temperature detection signal, the actual temperature value of the heat dissipation fin presented by the temperature detection signal of the heat dissipation fin is collected, the three-dimensional data of the heat dissipation fin and the SIS subsystem data of the power plant are collected, a physical model is established according to the three-dimensional data of the heat dissipation fin and the SIS subsystem data of the power plant, the theoretical temperature value of the heat dissipation fin is obtained according to the physical model, the dirt parameter of the heat dissipation fin is obtained according to the actual temperature value and the theoretical temperature value at the same time, and the heat dissipation area where the heat dissipation fin is located is cleaned according to the dirt parameter of the heat dissipation fin. The method can effectively determine whether the heat dissipation fin of the air cooling island needs to be cleaned, avoids economic losses caused by the judgment of whether the heat dissipation fin of the air cooling island needs to be cleaned by the staff according to experience, improves the heat dissipation efficiency of the power plant, and reduces the cost of heat dissipation consumption.

[0032] In a second aspect of the application, an air cooling island cleaning device is provided. The device comprises:

[0033] a data acquisition module configured to acquire the actual temperature value and the theoretical temperature value of the heat dissipation fin;

[0034] a data processing module configured to acquire the dirt parameter of the heat dissipation fin according to the actual temperature value and the theoretical temperature value;

[0035] a data execution module configured to clean the heat dissipation fin according to the dirt parameter of the heat dissipation fin.

[0036] In a third aspect of the application, an electronic device is provided. The electronic device comprises a memory and a processor, the memory stores a computer program, and the processor implements the method described above when executing the program.

[0037] In a fourth aspect of the application, a computer readable storage medium is provided, which stores a computer program, and the program is executed by a processor to implement the method according to the first aspect of the application.

[0038] It is to be understood that the description in the summary is not intended to identify key or essential features of embodiments of the application, nor is it intended to limit the scope of the application. Other features, aspects, and advantages of the application will become apparent from the following description, when taken in conjunction with the accompanying drawings. BRIEF DESCRIPTION OF DRAWINGS

[0039] The above and other features, aspects, and advantages of the present embodiments will become more apparent with reference to the following detailed description when considered in conjunction with the accompanying drawings. In the drawings, like reference numerals refer to like elements, wherein:

[0040] Figure 1 A flow chart of an air-cooled island cleaning method according to an embodiment of the present application is shown;

[0041] Figure 2 A block diagram of an air-cooled island cleaning device according to an embodiment of the present application is shown;

[0042] Figure 3 A structural diagram of a terminal device or server suitable for implementing embodiments of the present application is shown.

[0043] Legend of reference numerals: 1, data acquisition module; 2, data processing module; 301, CPU; 302, ROM; 303, RAM; 304, bus; 305, I / O interface; 306, input part; 307, output part; 308, storage part; 309, communication part; 310, drive; 311, removable medium; 4, data execution module. DETAILED DESCRIPTION

[0044] In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the scope of protection of the present application.

[0045] Techniques, methods, and apparatus known to those of ordinary skill in the relevant art can not be discussed in detail herein. However, where appropriate, such techniques, methods, and apparatus can be considered as part of the description of the present application.

[0046] In the prior art, when the power plant produces electric energy, a large amount of heat is generated, the temperature of the heat dissipation fin is increased, and the air cooling fan cools the heat dissipation fin, so that the heat dissipation fin is kept at a temperature value and dynamically balanced. However, the heat dissipation fin is exposed to the outdoor, and the area of the heat dissipation fin is large and the structure is compact, so that dust and willow catkins and other substances are easily deposited, the thermal resistance is increased, the overall heat exchange efficiency is affected, the temperature of the heat dissipation fin is increased during operation, and if the heat dissipation fin is not cleaned in time, the energy consumption of the heat dissipation fin is greater than the economic benefits brought by the heat dissipation of the heat dissipation fin, and even the heat dissipation fin is damaged due to the high temperature.

[0047] In the embodiment of the present application, a kind of air cooling island cleaning method can be applied in power plant cooling system, air cooling island is divided into multiple heat dissipation regions, each heat dissipation region contains multiple heat dissipation fins, temperature detection device is installed on heat dissipation fin, the temperature of heat dissipation fin is detected and temperature detection signal is sent, the actual temperature of heat dissipation fin is collected by heat dissipation fin temperature detection signal, the theoretical temperature value of heat dissipation fin is obtained by establishing the physical model of air cooling island, the dirt parameter of heat dissipation fin is obtained according to actual temperature value and theoretical temperature value, the heat dissipation region where heat dissipation fin is located is cleaned according to the dirt parameter of heat dissipation fin, whether the heat dissipation fin of air cooling island needs to be cleaned can be effectively judged, the heat dissipation efficiency of power plant is improved and the cost of heat dissipation consumption is reduced.

[0048] Figure 1 The flow chart of the air cooling island cleaning method of the embodiment of the present application is shown.

[0049] Step S100, the actual temperature value and the theoretical temperature value of the heat dissipation fin are obtained;

[0050] When the heat dissipation fin is running, the heat dissipation fin is running and the temperature of the heat dissipation fin is increased due to heat dissipation, the actual temperature value of the heat dissipation fin is the temperature of the heat dissipation fin when it is running in real environment, and the theoretical temperature value of the heat dissipation fin is the temperature of the heat dissipation fin when it is not polluted by environment, i.e. the dirt parameter of the heat dissipation fin is 0.

[0051] Step S110, the actual temperature value of the heat dissipation fin is obtained;

[0052] In the specific implementation process, the actual temperature value of the heat dissipation fin is the temperature value of the heat dissipation fin in the actual working process, a temperature detection device is arranged on each heat dissipation fin, the temperature detection device can detect the actual temperature of the heat dissipation fin and send temperature detection signal, the processing center receives the temperature detection signal of each heat dissipation fin and stores the temperature value embodied by the temperature detection signal in the database, and each actual temperature value data in the database is marked with the time of the actual temperature value data.

[0053] Step S120, the theoretical temperature value of the heat dissipation fin is obtained;

[0054] The theoretical temperature value of the heat dissipation fin is the temperature of the heat dissipation fin running without the influence of the fouling parameter, the theoretical temperature value of the heat dissipation fin is obtained through a physical model, and the theoretical temperature value of the heat dissipation fin is stored in a database, each theoretical temperature value data in the database is marked with the time of the theoretical temperature value data, and the theoretical temperature value is associated with the actual temperature value with respect to time.

[0055] In step S121, three-dimensional data of the plurality of heat dissipation fins is obtained.

[0056] The three-dimensional data of the heat dissipation fin is the overall mechanical structure, circuit structure, size structure and power structure of the heat dissipation fin, which can be obtained by measuring the heat dissipation fin.

[0057] In step S122, power plant SIS subsystem data is obtained, and the power plant SIS subsystem data includes unit load data, exhaust steam quantity data, vacuum unit data and fan operation data.

[0058] In the power plant cooling system, a power plant SIS subsystem is further included, and the power plant SIS subsystem includes sensors, logic operators and final execution elements, i.e. detection units, control units and execution units. The SIS system can monitor the dangers occurring or latent in the production process, issue alarm information or directly execute the predetermined program, immediately enter the operation, prevent the occurrence of accidents, reduce the harm and influence caused by the accidents, obtain the data of the power plant SIS subsystem, the unit load data is the load data of the unit when running, the exhaust steam quantity data is the data of the overheat steam with thermal potential energy flowing at high speed, the vacuum unit data is the running data of the unit, the fan operation data is the data when the fan is running, the environmental data of the environment where the heat dissipation fin is located is obtained, the environmental data includes but is not limited to air temperature, air humidity and wind speed around the heat dissipation fin, and the above data is stored in the database in real time, the actual temperature value data and the theoretical temperature value data are associated according to time, and the air temperature data, the air humidity data and the wind speed data in the power plant SIS subsystem are stored in the database, and the actual temperature value and the theoretical temperature value are associated according to time.

[0059] In step S123, a physical model is established according to the three-dimensional data of the plurality of heat dissipation fins and the power plant SIS subsystem data, and the physical model includes an air-cooled heat dissipation fin physical model, a cooling fan cold end performance model and an exhaust steam distribution flow model.

[0060] The three-dimensional data of the plurality of heat dissipation fins and the unit load data, the exhaust steam quantity data, the vacuum unit data and the fan operation data in the power plant SIS subsystem are acquired, and a physical model related to the air cooling island is established based on the above data. The physical model includes an air cooling fin physical model, a cooling fan cold end performance model and an exhaust steam distribution flow model. The air cooling island heat dissipation physical model is a plurality of heat dissipation region physical models formed by the mutual combination of all the heat dissipation fins of the air cooling island. The plurality of heat dissipation region physical models form an air cooling island heat dissipation fin whole model. The cooling fan cold end model is a physical model of the fan dissipating heat from the air cooling island heat dissipation fin. The exhaust steam distribution flow model is a flow model of the high-speed flowing superheated steam with thermal potential energy in the air cooling island pipeline.

[0061] In step S124, the theoretical temperature value of the heat dissipation fin is acquired based on the physical model.

[0062] In the acquired physical model, the temperature of the heat dissipation fin without the fouling parameter is acquired by simulating the working condition of the heat dissipation fin on the air cooling island without fouling in the physical model. The temperature is the theoretical temperature value data.

[0063] In step S200, the fouling parameter of the heat dissipation fin is acquired based on the actual temperature value and the theoretical temperature value.

[0064] The actual temperature value and the theoretical temperature value at the same time in the database are collected, and the fouling parameter of the single heat dissipation fin at the time is calculated. The fouling parameter is calculated by dividing the actual temperature value by the theoretical temperature value, and then the coefficient K is obtained. Since the actual temperature value of the heat dissipation fin is greater than the theoretical temperature value of the heat dissipation fin, K is greater than 1, and then K-1 obtains the fouling parameter of the heat dissipation fin. The fouling parameter is greater than 0 and the minimum value is 0.

[0065] It can be understood that the above calculated fouling parameter is only the fouling parameter of a certain heat dissipation fin at a certain time. The actual temperature value and the theoretical temperature value of the heat dissipation fin can be different or the same at different times, which is specifically explained as follows:

[0066] In a specific environment, at 11:30, the air temperature is 30 degrees Celsius, the humidity is 49% RH, the wind speed is 18 m / s, the theoretical temperature is calculated to be 60 degrees Celsius, the actual temperature value is 65 degrees Celsius at this time, and the fouling parameter is calculated to be 0.083.

[0067] At 11:35, the air temperature is 31 degrees Celsius, the humidity is 50% RH, the wind speed is 10 m / s, the theoretical temperature value is calculated to be 61 degrees Celsius, the actual temperature value is 65 degrees Celsius at this time, and the fouling parameter is calculated to be 0.065.

[0068] In step S300, the heat dissipation region where the heat dissipation fin is located is cleaned based on the fouling parameter of the heat dissipation fin.

[0069] Step S301, when the dirt parameter of the heat sink reaches a preset first dirt threshold, a first score is recorded for the heat sink;

[0070] The first dirt parameter threshold is half of the value of the second dirt threshold in actual production and life.

[0071] Step S302, when the dirt parameter of the heat sink reaches a preset second dirt threshold, a second score is recorded for the heat sink;

[0072] The second dirt threshold is a value that ensures that the economic benefits brought by the heat dissipation of the heat sink are equal to the economic losses brought by the consumption of the operation of the heat sink. If the dirt parameter of the heat sink is greater than the second dirt threshold, the economic benefits generated by the operation of the heat sink are less than the operation consumption generated by the operation of the heat sink, and it can be considered that the heat sink continues to operate, and the heat sink continues to operate will bring negative benefits.

[0073] Step S303, when the dirt parameter of the heat sink reaches a preset third dirt threshold, the cleaning robot is controlled to clean the heat dissipation area where the heat sink is located;

[0074] In the specific process, the third dirt threshold is that the number of dust is too large in the process of operation of the heat sink, which may block the heat sink, and the temperature of the heat sink is too high, which may be damaged. Therefore, if it is not cleaned in time when the dirt parameter of the heat sink reaches the third dirt threshold, the heat sink may be damaged, so the heat sink needs to be cleaned in time. At the same time, because the cleaning start-up cost of the heat sink is relatively high, the economic loss caused by cleaning a single heat sink is large, in order to reduce the economic loss, the heat dissipation area where the heat sink is located needs to be cleaned.

[0075] Step S304, when the sum of the first score and the second score of all heat sinks in the heat dissipation area is greater than or equal to the score threshold, the cleaning robot is controlled to clean the heat dissipation area;

[0076] In the heat dissipation area, the dirt parameters of each heat sink are different. When the dirt parameter of the heat sink is less than the first dirt threshold, the economic benefits of the heat sink continue to run is greater than the operation consumption; when the dirt parameter of the heat sink is between the first dirt threshold and the second dirt threshold, the economic benefits of the heat sink continue to run is slightly greater than the operation consumption; when the dirt parameter of the heat sink is greater than the second dirt threshold, the economic benefits of the heat sink continue to run is less than the operation consumption. According to the industry experience in the industry, the best score threshold in the whole heat dissipation area is determined. If the sum of the scores represented by the dirt parameters of all heat sinks in the heat dissipation area is greater than the score threshold, it can be considered that the economic benefits of the heat dissipation area continue to run is less than the operation consumption, and the whole heat dissipation area needs to be cleaned.

[0077] In a specific case, the air cooling island of a power plant includes 9 heat dissipation areas, which are marked as A1-A9; each heat dissipation area includes 9 heat dissipation fins, which are marked as B1-B9; the first dirtiness threshold is set as 0.2, the second dirtiness threshold is set as 0.4, the third dirtiness threshold is set as 0.6, the first integral is set as 1, the second integral is set as 2, and the integral threshold is set as 13;

[0078] The dirtiness parameter of the heat dissipation fin B2 in the heat dissipation area A1 is 0.61, so the dirtiness parameter of the heat dissipation fin B2 in the heat dissipation area A1 is greater than the third dirtiness threshold, at this time, if the heat dissipation fin is not cleaned in time, the heat dissipation fin may be damaged, regardless of the size of the dirtiness parameters of the remaining heat dissipation fins in the heat dissipation area A1, the heat dissipation area A1 needs to be cleaned;

[0079] In the heat dissipation area A3, the dirtiness parameters of the heat dissipation fins B1-B9 are 1, 0, 2, 1, 1, 1, 2, 1, and 1, respectively; the sum of the integrals of the dirtiness parameters of all the heat dissipation fins in the heat dissipation area A3 is 10, which is less than the integral threshold 13, so it can be determined that the running efficiency of the heat dissipation area A3 is in the economic running efficiency, and the heat dissipation area A3 does not need to be cleaned;

[0080] In the heat dissipation area A9, the dirtiness parameters of the heat dissipation fins B1-B9 are 2, 1, 1, 2, 1, 1, 2, 2, and 1, respectively; the sum of the integrals of the dirtiness parameters of all the heat dissipation fins in the heat dissipation area A3 is 13, which is equal to the integral threshold 13, so it can be determined that the running efficiency of the heat dissipation area A9 is not in the economic running efficiency, and the heat dissipation area A9 needs to be cleaned, at this time, the cleaning robot is controlled to go to the heat dissipation area A9 to perform automatic cleaning.

[0081] It should be noted that, for the foregoing method embodiments, in order to simply describe, they are all expressed as a series of action combinations, but those skilled in the art should know that the present application is not limited by the action sequence described, because according to the present application, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should know that the embodiments described in the specification all belong to optional embodiments, and the actions and modules involved are not necessarily required by the present application.

[0082] The above is the introduction of the method embodiment, and the scheme described in the present application will be further described through the device embodiment.

[0083] Figure 2 A block diagram of an air cooling island cleaning device according to an embodiment of the present application is shown.

[0084] As shown in Figure 2 , the device includes:

[0085] The data acquisition module 1 is configured to acquire an actual temperature value and a theoretical temperature value of the heat dissipation fin.

[0086] The data processing module 2 is configured to acquire a fouling parameter of the heat dissipation fin according to the actual temperature value and the theoretical temperature value.

[0087] The data execution module 4 is configured to clean the heat dissipation fin according to the fouling parameter of the heat dissipation fin.

[0088] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the described modules can refer to the corresponding process in the foregoing method embodiments, which will not be described herein.

[0089] Figure 3 A structural schematic diagram of an electronic device suitable for implementing the embodiments of the present application is shown.

[0090] As shown in Figure 3 , the electronic device includes a central processing unit (CPU) 301, which can perform various appropriate actions and processes according to programs stored in a read-only memory (ROM) 302 or programs loaded from a storage portion 308 into a random access memory (RAM) 303. In the RAM 303, various programs and data required for the operation of the system 300 are also stored. The CPU 301, the ROM 302, and the RAM 303 are connected to each other through a bus 304. An input / output (I / O) interface 305 is also connected to the bus 304.

[0091] The following components are connected to the I / O interface 305: an input portion 306 including a keyboard, a mouse, and the like; an output portion 307 including a cathode ray tube (CRT), a liquid crystal display (LCD), and the like, and a speaker, and the like; a storage portion 308 including a hard disk, and the like; and a communication portion 309 including a network interface card such as a LAN card, a modem, and the like. The communication portion 309 performs communication processing via a network such as the Internet. A drive 310 is also connected to the I / O interface 305 as necessary. A removable medium 311 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, and the like is mounted on the drive 310 as necessary, so that a computer program read therefrom is installed in the storage portion 308 as necessary.

[0092] In particular, according to the embodiments of the present application, the above-mentioned data acquisition module 1, data processing module 2, and data execution module 4 can be implemented by the CPU 301 executing the programs stored in the ROM 302 or the programs loaded from the storage portion 308 into the RAM 303. Figure 1The described processes can be implemented as computer software programs. For example, embodiments of the present application include a computer program product which includes a computer program tangibly embodied on a machine readable medium, the computer program including program code for executing the methods illustrated in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via the communication portion 309 and / or installed from the removable media 311. When the computer program is executed by the central processing unit (CPU) 301, the above-described functions defined in the system of the present application are executed.

[0093] It should be noted that the computer readable medium shown in the present application can be a computer readable signal medium or a computer readable storage medium or any combination of the two. The computer readable storage medium may, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or apparatus, or any combination of the above. More specific examples of the computer readable storage medium can include, but are not limited to, an electrical connection having one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, the computer readable storage medium can be any tangible medium that contains or stores a program that can be used by or in connection with an instruction execution system, device or apparatus. In the present application, the computer readable signal medium can include a data signal carried in a baseband or as a part of a carrier wave, which carries computer readable program code. Such a propagated data signal can take on many forms, including but not limited to an electromagnetic signal, an optical signal or any suitable combination of the above. The computer readable signal medium can also be any computer readable medium that can send, propagate or transfer a program for use by or in connection with an instruction execution system, device or apparatus. The program code contained on the computer readable medium can be transmitted using any suitable medium, including but not limited to wireless, wire line, optical fiber cable, RF, etc., or any suitable combination of the above.

[0094] The computer program product of the present application can be a computer program embodied on a non-transitory computer readable medium. When the computer program runs on a computer, a series of operational steps are performed by a processor (CPU). Each operational step is represented by a combination of a hardware logic and a computer instruction. When the computer program runs, the combination of the hardware logic and the computer instruction performs the operational steps of the present application. The computer program product of the present application can be a computer program embodied on a non-transitory computer readable medium. When the computer program runs on a computer, a series of operational steps are performed by a processor (CPU). Each operational step is represented by a combination of a hardware logic and a computer instruction. When the computer program runs, the combination of the hardware logic and the computer instruction performs the operational steps of the present application.

[0095] The units or modules described in the embodiments of the present application can be implemented by software or hardware. The described units or modules can also be arranged in a processor, for example, a processor can be described as: a processor includes a data acquisition module, a data processing module, and a data execution module. In some cases, the names of these units or modules do not constitute a limitation on the units or modules themselves, for example, the data acquisition module can also be described as "a module for acquiring actual temperature values and theoretical temperature values of the heat sink when the heat sink is running".

[0096] As another aspect, the present application also provides a computer readable storage medium, which can be included in the electronic device described in the above embodiments, or can exist separately without being assembled into the electronic device. The computer readable storage medium stores one or more programs, and the programs are used by one or more processors to execute the heat sink object processing method described in the present application.

[0097] The above description is merely preferred embodiments of the present application and a description of the principles of the technology used. Those skilled in the art should understand that the scope of the application described in the present application is not limited to the technical solutions formed by the specific combinations of the above technical features, and should also cover other technical solutions formed by any combinations of the above technical features or their equivalent features without departing from the above application concept. For example, the above features can be replaced with technical features with similar functions applied in the present application (but not limited to) to form technical solutions.

Claims

1. A method for cleaning an air-cooled island, characterized in that, include: A processor is used in a power plant cooling system, which also includes a database, an air-cooled island, and a cleaning robot. The air-cooled island includes multiple heat dissipation areas, each heat dissipation area includes multiple heat sinks, and the cleaning robot is used to clean the heat dissipation areas. The method includes: Obtain the actual temperature value and the theoretical temperature value of the heat sink; The dirt parameters of the heat sink are obtained based on the actual temperature value and the theoretical temperature value; Determine whether the heat dissipation area where the heat sink is located needs to be cleaned based on the dirt parameters of the heat sink. Includes a temperature detection device disposed on the heat sink, the temperature detection device being used to detect the temperature of the heat sink and send a temperature detection signal; The step of obtaining the actual temperature value and the theoretical temperature value of the heat sink includes obtaining the actual temperature value, which includes: The temperature detection signal is acquired and the actual temperature value reflected by the temperature detection signal is stored in the database, wherein the actual temperature value is associated with the test time; The power plant cooling system also includes the power plant SIS subsystem; The step of obtaining the theoretical temperature value in obtaining the actual temperature value and the theoretical temperature value of the heat sink includes: Obtain 3D data of multiple heat sinks; Acquire the power plant SIS subsystem data, which includes unit load data, exhaust steam volume data, vacuum unit data, and fan operation data; A physical model is established based on the three-dimensional data of the multiple heat sinks and the power plant SIS subsystem data. The physical model includes a physical model of the air-cooled heat sink, a cold-end performance model of the cooling fan, and a waste steam distribution flow model. The theoretical temperature value of the heat sink is obtained according to the physical model and stored in the database. The theoretical temperature value is associated with the actual temperature value at the same time. The process of obtaining the dirt parameters of the heat sink based on the actual temperature value and the theoretical temperature value includes: Retrieve the actual and theoretical temperature values ​​associated with the same time period from the database; The coefficient K is obtained by dividing the actual temperature value by the theoretical temperature value; The contamination parameters of the heat sink are obtained based on the coefficient K-1; Cleaning the heat sink according to its dirt parameters includes: When the dirt parameter of the heat sink reaches a preset first dirt threshold, the heat sink is integrated first. When the contamination parameter of the heat sink reaches a preset second contamination threshold, a second integral is recorded for the heat sink. When the sum of the integrals of all heat sinks in the heat dissipation area is greater than or equal to the integral threshold, the cleaning robot is controlled to clean the heat dissipation area. When the dirt parameter of the heat sink reaches the preset third dirt threshold, the cleaning robot is controlled to clean the heat dissipation area where the heat sink is located. The third dirt threshold is greater than the second dirt threshold, the second dirt threshold is greater than the first dirt threshold, and the second integral is greater than the first integral.

2. An air-cooled island cleaning device, characterized in that, The apparatus comprising the method of claim 1, wherein the method is: The data acquisition module (1) is used to acquire the actual temperature value and the theoretical temperature value of the heat sink; Data processing module (2) is used to obtain the dirt parameters of the heat sink based on the actual temperature value and the theoretical temperature value; The data execution module (4) is used to clean the heat sink according to the dirt parameters of the heat sink.

3. An electronic device, characterized in that, It includes a memory and a processor, wherein the memory stores a computer program, and the processor executes the program to implement the method as described in claim 1.

4. A computer-readable storage medium, characterized in that, It stores a computer program that, when executed by a processor, implements the method as described in claim 1.

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