Cooling fault detection method and device, plate strip steel cooling equipment and storage medium

Abstract

The invention discloses a cooling fault detection method and device, plate and strip steel cooling equipment and a storage medium, and belongs to the technical field of plate and strip steel. The method is applied to the plate and strip steel cooling equipment, the plate and strip steel cooling equipment is provided with a cooling system and an image acquisition device, the cooling system comprises a surge tank and a nozzle assembly, pressure change data of the surge tank is obtained, and the image acquisition device is controlled to shoot operation image data of the nozzle assembly; according to the pressure change data and the operation image data, first feature data of the plate and strip steel cooling equipment in the operation process is determined; and fault information is determined according to the first characteristic data. The beneficial effect of improving the qualified rate of the produced plate strip steel is achieved.

Description

Technical Field

[0001] The present invention relates to the field of plate and strip steel, and in particular to a cooling fault detection method and device, plate and strip steel cooling equipment and a storage medium. Background Art

[0002] In the process of manufacturing plate and strip steel, heating, dephosphorization, cooling, curling and other processes are required. With the development of plate and strip steel technology, higher requirements are placed on the surface quality of plate and strip steel. At present, the plate and strip steel is generally cooled by an automated cooling system. Failure of various components during the cooling process will cause the coolant to be unable to meet the cooling requirements. The machine is often shut down to determine the cause of the failure only after the surface quality has deteriorated, resulting in a low pass rate for the produced plate and strip steel.

[0003] The above contents are only used to assist in understanding the technical solution of the present invention and do not constitute an admission that the above contents are prior art. Summary of the invention

[0004] The main purpose of the present invention is to provide a cooling fault detection method, which aims to improve the qualified rate of produced plate and strip steel by improving the detection efficiency of faults. To achieve the above purpose, the present invention provides a cooling fault detection method, which is applied to plate and strip steel cooling equipment. The plate and strip steel cooling equipment is provided with a cooling system and an image acquisition device. The cooling system includes: a pressure stabilizing tank and a nozzle assembly. The cooling fault detection method includes the following steps: Acquiring pressure change data of the pressure stabilizing tank and controlling the image acquisition device to capture operation image data of the nozzle assembly; Determine first characteristic data of the plate and strip steel cooling device during operation according to the pressure change data and the operation image data; Fault information is determined according to the first characteristic data.

[0005] Optionally, the step of determining the first characteristic data of the strip steel cooling device during operation according to the pressure change data and the operation image data comprises: determining a pressure change characteristic according to the pressure change data; determining a spray characteristic of the nozzle assembly based on the operational image data; The first characteristic data is determined according to the pressure variation characteristic and the injection characteristic data.

[0006] Optionally, the pressure change characteristic comprises: a pressure change characteristic vector, and the step of determining the pressure change characteristic according to the pressure change data comprises: Standardizing the pressure change data to obtain standard pressure change data; Determine a characteristic value corresponding to a preset pressure characteristic type according to the standard pressure change data to obtain at least one characteristic value, wherein the preset pressure characteristic type includes: at least one of a pressure change direction, a pressure mean value, a pressure change waveform, and a pressure change amplitude; The at least one eigenvalue is used to determine the pressure variation eigenvector.

[0007] Optionally, the image acquisition device is an infrared camera, the injection feature is an injection feature vector, and the step of determining the injection feature of the nozzle assembly according to the operation image data includes: Extracting a feature value corresponding to a preset injection feature type from the operation image data according to image recognition, wherein the preset injection feature type includes: at least one of an injection direction, an injection speed, a geometric feature of a temperature change of the plate and strip steel, and a texture feature of the plate and strip steel; The at least one characteristic value is used to determine the injection characteristic vector.

[0008] Optionally, the image acquisition device is a visible light camera, and the step of determining the injection characteristics of the nozzle assembly according to the operation image data comprises: Determine the clarity of each area of ​​the plate and strip steel according to the running image data to obtain a plurality of clarity data; determining an amount of mist generated during operation of the nozzle assembly based on the plurality of clarity data; The spray characteristic is determined based on the mist volume.

[0009] Optionally, the first characteristic data is a first characteristic vector, and the step of determining fault information according to the first characteristic data includes: Calculating a characteristic distance according to the first characteristic vector and each second characteristic vector, wherein the second characteristic vector is a characteristic vector corresponding to a fault condition of the plate strip cooling device before the current moment; The fault information is determined according to the characteristic distance.

[0010] Optionally, before the step of determining the first characteristic data of the plate and strip steel cooling device during operation according to the pressure change data and the operation image data, the step further includes: Determine identification information corresponding to each operating time according to the control data of the plate and strip steel cooling device, and obtain a first corresponding relationship, wherein the first corresponding relationship is a corresponding relationship between the operating time and the identification information, and the identification information is the current operating status of the cooling system; Determine first identification information corresponding to the pressure change data according to the first corresponding relationship and the time corresponding to the pressure change data, and determine second identification information corresponding to the operation image data according to the first corresponding relationship and the time corresponding to the operation image data; The pressure change data and the operation image data are matched according to the time sequence, the first identification information and the second identification information.

[0011] In addition, to achieve the above-mentioned purpose, the present invention further provides a cooling fault detection device, wherein the cooling fault detection device is provided with a cooling system and an image acquisition device, wherein the cooling system comprises: a pressure stabilizing tank and a nozzle assembly, and wherein the cooling fault detection device comprises: An acquisition module, used for acquiring pressure change data of the pressure stabilizing tank and controlling the image acquisition device to capture operation image data of the nozzle assembly; A calculation module, used for determining first characteristic data of the plate and strip steel cooling device during operation according to the pressure change data and the operation image data; An identification module is used to determine fault information according to the first characteristic data.

[0012] In addition, to achieve the above-mentioned purpose, the present invention also provides a plate and strip steel cooling equipment, which includes: a memory, a processor, and a cooling fault detection program stored in the memory and executable on the processor, and the cooling fault detection program is configured to implement the steps of the cooling fault detection method described in any one of the above-mentioned items.

[0013] In addition, to achieve the above-mentioned purpose, the present invention further provides a storage medium, on which a cooling fault detection program is stored, and when the cooling fault detection program is executed by a processor, the steps of any of the above-mentioned cooling fault detection methods are implemented.

[0014] The present invention proposes a cooling fault detection method, which obtains the pressure change data and operation image data of the pressure-stabilizing tank, and determines the first characteristic data of the plate and strip steel cooling equipment during operation according to the pressure change data and the operation image data, thereby obtaining two characteristic data that can be correlated with each other, so that fault information can be located and identified during operation, thereby improving the efficiency of identifying fault problems and further improving the product yield of plate and strip steel. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a structural schematic diagram of a plate and strip steel cooling device in a hardware operating environment involved in an embodiment of the present invention; Figure 2 It is a schematic flow chart of a first embodiment of a cooling fault detection method of the present invention; Figure 3 It is a flow chart of a second embodiment of the cooling fault detection method of the present invention; Figure 4 It is a schematic flow chart of a third embodiment of a cooling fault detection method of the present invention; Figure 5 It is a flow chart of the sixth embodiment of the cooling fault detection method of the present invention.

[0016] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0017] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0018] Reference Figure 1 , Figure 1 It is a schematic diagram of the structure of the plate and strip steel cooling equipment in the hardware operating environment involved in the embodiment of the present invention.

[0019] like Figure 1 As shown, the plate and strip steel cooling equipment may include: a processor 1001, such as a central processing unit (CPU), a communication bus 1002, an interactive device 1003, a network interface 1004 and a memory 1005. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The interactive device 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the optional interactive device 1003 may also be connected to the communication bus through a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a wireless fidelity (WIreless-FIdelity, WI-FI) interface). The memory 1005 may be a high-speed random access memory (Random Access Memory, RAM), or a stable non-volatile memory (Non-Volatile Memory, NVM), such as a disk memory. The memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0020] Those skilled in the art will understand that Figure 1 The structure shown in the figure does not constitute a limitation on the plate strip cooling device, and may include more or less components than shown in the figure, or combine certain components, or arrange the components differently.

[0021] like Figure 1As shown, the memory 1005 as a storage medium may include an operating system, a data storage module, a network communication module, a user interface module, and a cooling fault detection program.

[0022] exist Figure 1 In the plate and strip steel cooling equipment shown, the network interface 1004 is mainly used for data communication with other devices; the interactive device 1003 is mainly used for data interaction with users; the processor 1001 and the memory 1005 in the plate and strip steel cooling equipment of the present invention can be set in the plate and strip steel cooling equipment, and the plate and strip steel cooling equipment calls the cooling fault detection program stored in the memory 1005 through the processor 1001, and executes the cooling fault detection method provided by the embodiment of the present invention.

[0023] The embodiment of the present invention provides a cooling fault detection method, referring to Figure 2 , Figure 2 This is a flow chart of a first embodiment of a cooling fault detection method of the present invention. In this embodiment, it is applied to a plate and strip steel cooling device, the plate and strip steel cooling device is provided with a cooling system and an image acquisition device, the cooling system includes: a pressure stabilizing tank and a nozzle assembly, and the cooling fault detection method includes the following steps: Step S1, obtaining the pressure change data of the pressure stabilizing tank and controlling the image acquisition device to capture the operation image data of the nozzle assembly; In this embodiment, preferably, the coolant is water, and of course it can also be liquid nitrogen. In addition to the pressure-surge tank and the nozzle assembly, the cooling system also includes a water pump and a water tank. The number of nozzle assemblies here is not limited, and it can include a nozzle assembly for cooling the upper surface of the plate and strip steel, and can also include a nozzle assembly for cooling the lower surface of the plate and strip steel. The pressure-surge tank includes: water and gas, and the gas here can generally be air or nitrogen. The pressure-surge tank is mainly for maintaining pressure balance. When the pressure in the cooling system changes, the gas pressure in the pressure-surge tank will also change accordingly, thereby achieving the pressure balance of the system. When the pressure of the cooling system increases, the gas volume decreases and the gas pressure increases; when the pressure of the cooling system decreases, the volume increases and the gas pressure decreases. Under normal working conditions, the pressure-surge tank can effectively ensure the water pressure during the nozzle switch of the nozzle assembly, and avoid the change of nozzle pressure caused by the water pump replenishing water. In the actual operation process, the pressure change data will fluctuate within a range that meets the requirements, that is, within the working pressure range. Specifically, the image acquisition device here captures the operating image data of the nozzle assembly. In addition to capturing the nozzle assembly, it can also capture the contact portion between the coolant and the plate and strip steel.

[0024] Step S2, determining first characteristic data of the plate and strip steel cooling device during operation according to the pressure change data and the operation image data; Specifically, corresponding features in the pressure change data and corresponding features in the operation image data are extracted as the first feature data, where the first feature data may include: pressure value, average pressure, coolant velocity and injection range.

[0025] Step S3: determining fault information according to the first characteristic data.

[0026] Since the first characteristic data actually includes the final data of completing the injection of coolant and the data of the container that directly supplies the coolant, the location of the fault can be determined through the first characteristic data to obtain fault information.

[0027] In this embodiment, by acquiring the pressure change data and the operation image data of the pressure stabilizing tank, and determining the first characteristic data of the plate and strip steel cooling equipment during operation based on the pressure change data and the operation image data, two characteristic data that can be correlated with each other are obtained, so that fault information can be located and identified during operation, thereby improving the efficiency of identifying fault problems and further improving the product yield of plate and strip steel.

[0028] Further, based on the first embodiment, a second embodiment of the cooling fault detection method of the present invention is proposed. In this embodiment, referring to Figure 3 The step of determining the first characteristic data of the plate and strip steel cooling device during operation according to the pressure change data and the operation image data comprises: Step S21, determining pressure change characteristics according to the pressure change data; Specifically, the pressure change data is counted to obtain the mean, variance, standard deviation, maximum value, minimum value, etc. of the pressure change data. In addition, when the duration corresponding to the pressure change data is greater than the preset duration, the pressure change data can be Fourier transformed to extract the corresponding spectrum data as the pressure change feature. In addition, the fluctuation characteristics of the pressure change data can also be extracted, for example: extracting the fluctuation characteristics of the nozzle switch of the nozzle assembly during the opening and closing process, and extracting the fluctuation characteristics during the operation of the water pump.

[0029] Step S22, determining the spray characteristics of the nozzle assembly according to the operation image data; Specifically, in this embodiment, the spray feature is determined not only by extracting the image of the nozzle assembly in the operation image data and extracting the image of the coolant sprayed by the nozzle assembly, but also by extracting the spray direction of the coolant included in the operation image data and the contact area of ​​the coolant on the plate and strip steel through image recognition. Optionally, different types of spray features can be extracted according to different camera types. In addition, in this embodiment, the number and type of image acquisition devices are not limited, and multiple cameras can be included, and the camera type can be an infrared camera or a visible light camera.

[0030] Step S23, determining the first characteristic data according to the pressure change characteristic and the injection characteristic data.

[0031] In this embodiment, the first characteristic data is determined based on the pressure change characteristics and the injection characteristic data, thereby ensuring the diversity of data sources and improving the dimension of the data. In the case of multiple data dimensions, the accuracy of subsequent determination of fault information can be effectively improved.

[0032] Further, the pressure change characteristic includes: a pressure change characteristic vector, and the step of determining the pressure change characteristic according to the pressure change data includes: Standardizing the pressure change data to obtain standard pressure change data; Determine a characteristic value corresponding to a preset pressure characteristic type according to the standard pressure change data to obtain at least one characteristic value, wherein the preset pressure characteristic type includes: at least one of a pressure change direction, a pressure mean value, a pressure change waveform, and a pressure change amplitude; The at least one eigenvalue is used to determine the pressure variation eigenvector.

[0033] After each inspection of the pressure stabilizing tank, the pressure data of the pressure stabilizing tank needs to be corrected. After replacing the pressure stabilizing tank, the corresponding correction coefficient needs to be set according to the parameters of the pressure stabilizing tank. Specifically, the characteristic value to be extracted from the standard pressure change data is determined according to the preset pressure characteristic type. And the corresponding pressure change characteristic vector is determined according to the preset pressure characteristic type. Preferably, the preset pressure characteristic type can include all of the following parameters: pressure change direction, pressure mean, pressure change waveform and pressure change amplitude.

[0034] In this embodiment, the characteristic value corresponding to the preset pressure characteristic type is determined by the standard pressure change data to obtain at least one characteristic value, thereby effectively reducing the amount of data for subsequent processing while obtaining the core pressure change situation, thereby improving the efficiency of subsequent fault analysis.

[0035] Further, based on the first embodiment or the second embodiment, a third embodiment of the cooling fault detection method of the present invention is proposed. In this embodiment, referring to Figure 4 , the image acquisition device is an infrared camera, the injection feature is an injection feature vector, and the step of determining the injection feature of the nozzle assembly according to the running image data includes: Step S221, extracting a feature value corresponding to a preset injection feature type from the operation image data according to image recognition, wherein the preset injection feature type includes: at least one of an injection direction, an injection speed, a geometric feature of a temperature change of the steel strip, and a texture feature of the steel strip; Step S222: determining the injection characteristic vector by using the at least one characteristic value.

[0036] If it is identified that the image acquisition device includes an infrared camera, the specific execution process of the operation image data collected by the infrared camera in step S22 is to execute step S211 and step S222 of this embodiment. Specifically, in this embodiment, the temperature change can also be determined based on the operation image data corresponding to two different times. In addition, the geometric characteristics of the temperature change of the plate and strip steel here specifically refer to the image morphology caused by the difference between the temperatures at various positions on the surface of the plate and strip steel. The texture feature is actually the texture caused by the opening and closing of the nozzle assembly and the adjustment of the injection position. For the operation of the automated cooling equipment, its texture should be the same under normal operation.

[0037] In this embodiment, feature values ​​corresponding to preset injection feature types in the operation image data are extracted according to image recognition, thereby improving the accuracy of the injection feature vector.

[0038] Further, based on the first embodiment or the second embodiment, a fourth embodiment of the cooling fault detection method of the present invention is proposed. In this embodiment, the image acquisition device is a visible light camera, and the step of determining the injection characteristics of the nozzle assembly according to the operation image data includes: Determine the clarity of each area of ​​the plate and strip steel according to the running image data to obtain a plurality of clarity data; determining an amount of mist generated during operation of the nozzle assembly based on the plurality of clarity data; The spray characteristic is determined based on the mist volume.

[0039] It should be noted that, during the cooling process, water will form water vapor. Currently, in the production process, most of the water vapor can be removed by fans. However, in the process of taking away the water vapor, part of the water vapor will be cooled, so that the water vapor will be atomized to form water mist. In this embodiment, the amount of fog in each area should be stable. When the amount of fog changes, it indicates that there are changes in the operation of the cooling equipment. Of course, in this embodiment, the operating image data can also be used to determine the direction of the water spray. In other embodiments, when the image acquisition device includes: a visible light camera and an infrared camera at the same time, the corresponding processing steps can be determined for different data, and the data can be verified with each other, for example: verification of the direction of the water spray.

[0040] In this embodiment, the clarity of each area of ​​the plate and strip steel is determined according to the operation image data to obtain a plurality of clarity data, and the amount of mist generated during the operation of the nozzle assembly is determined according to the plurality of clarity data. The mist amount is used as the injection feature, which is unique information that can be obtained by visible light compared to the extracted injection speed and injection direction, thereby increasing the data volume of the injection feature. The calculation method of the clarity data can be: extracting the clarity of each area through an image sharpness analysis algorithm.

[0041] Further, based on any of the above embodiments, a fifth embodiment of the cooling fault detection method of the present invention is proposed. In this embodiment, the first characteristic data is a first characteristic vector, and the step of determining the fault information according to the first characteristic data includes: Calculating a characteristic distance according to the first characteristic vector and each second characteristic vector, wherein the second characteristic vector is a characteristic vector corresponding to a fault condition of the plate strip cooling device before the current moment; The fault information is determined according to the characteristic distance.

[0042] In this embodiment, optionally, multiple second eigenvectors can constitute a vector space, and based on the clustering algorithm and the type of fault, the center point corresponding to each fault type is determined, and the distance between the center points of each fault type is calculated respectively to determine the fault type. The fault types here may include: impurities in the coolant, insufficient water delivery from the water pump, partial blockage of the nozzle, long valve response time, etc.

[0043] Further, based on any of the above embodiments, a sixth embodiment of the cooling fault detection method of the present invention is proposed. In this embodiment, referring to Figure 5 , before the step of determining the first characteristic data of the plate and strip steel cooling device during operation according to the pressure change data and the operation image data, it also includes: Step S201, determining identification information corresponding to each operating time according to control data of the plate and strip cooling device, and obtaining a first corresponding relationship, wherein the first corresponding relationship is a corresponding relationship between the operating time and the identification information, and the identification information is the current operating status of the cooling system; The current operation of the cooling system may be in different situations, specifically including: opening a valve to allow the nozzle to spray coolant, continuous water spray cooling, water pump water delivery, etc.

[0044] Step S202, determining first identification information corresponding to the pressure change data according to the first corresponding relationship and the time corresponding to the pressure change data, and determining second identification information corresponding to the operation image data according to the first corresponding relationship and the time corresponding to the operation image data; In this embodiment, after the first identification information and the second identification information are determined, the pressure change data and the operation image data are marked respectively.

[0045] Step S203: Match the pressure change data with the operation image data according to the time sequence, the first identification information and the second identification information.

[0046] The data corresponding to the first identification information and the second identification information are divided into the same group, and arranged and matched in the same group according to the time sequence, so as to determine that the pressure change data and the operation image data match.

[0047] In addition, an embodiment of the present invention further provides a cooling fault detection device, wherein the cooling fault detection device is provided with a cooling system and an image acquisition device, wherein the cooling system includes: a pressure stabilizing tank and a nozzle assembly, and the cooling fault detection device includes: An acquisition module, used for acquiring pressure change data of the pressure stabilizing tank and controlling the image acquisition device to capture operation image data of the nozzle assembly; A calculation module, used for determining first characteristic data of the plate and strip steel cooling device during operation according to the pressure change data and the operation image data; an identification module, configured to determine fault information according to the first characteristic data; The cooling fault detection device here can execute the steps indicated in the above embodiment.

[0048] In addition, an embodiment of the present invention also proposes a plate and strip steel cooling device, which includes: a memory, a processor, and a cooling fault detection program stored in the memory and executable on the processor, wherein the cooling fault detection program is configured to implement the steps of any of the cooling fault detection methods described above.

[0049] In addition, an embodiment of the present invention further provides a storage medium, on which a cooling fault detection program is stored. When the cooling fault detection program is executed by a processor, the steps of any one of the above cooling fault detection methods are implemented.

[0050] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or system. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the presence of other identical elements in the process, method, article or system including the element.

[0051] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0052] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes a number of instructions for enabling a terminal device (which can be a mobile phone, computer, server or network device, etc.) to execute the methods described in each embodiment of the present invention.

[0053] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A cooling fault detection method, characterized in that: Applied to a plate and strip steel cooling device, the plate and strip steel cooling device is provided with a cooling system and an image acquisition device, the cooling system comprises: a pressure stabilizing tank and a nozzle assembly, and the cooling fault detection method comprises the following steps: Acquiring pressure change data of the pressure stabilizing tank and controlling the image acquisition device to capture operation image data of the nozzle assembly; Determine first characteristic data of the plate and strip steel cooling device during operation according to the pressure change data and the operation image data; Fault information is determined according to the first characteristic data.

2. The cooling fault detection method according to claim 1, characterized in that: The step of determining the first characteristic data of the plate strip cooling device during operation according to the pressure change data and the operation image data comprises: determining a pressure change characteristic according to the pressure change data; determining a spray characteristic of the nozzle assembly based on the operational image data; The first characteristic data is determined according to the pressure variation characteristic and the injection characteristic data.

3. The cooling fault detection method according to claim 2, characterized in that: The pressure change feature includes: a pressure change feature vector, and the step of determining the pressure change feature according to the pressure change data includes: Standardizing the pressure change data to obtain standard pressure change data; Determine a characteristic value corresponding to a preset pressure characteristic type according to the standard pressure change data to obtain at least one characteristic value, wherein the preset pressure characteristic type includes: at least one of a pressure change direction, a pressure mean value, a pressure change waveform, and a pressure change amplitude; The at least one eigenvalue is used to determine the pressure variation eigenvector.

4. The cooling fault detection method according to claim 2, characterized in that: The image acquisition device is an infrared camera, the injection feature is an injection feature vector, and the step of determining the injection feature of the nozzle assembly according to the operation image data includes: Extracting a feature value corresponding to a preset injection feature type from the operation image data according to image recognition, wherein the preset injection feature type includes: at least one of an injection direction, an injection speed, a geometric feature of a temperature change of the plate and strip steel, and a texture feature of the plate and strip steel; The at least one characteristic value is used to determine the injection characteristic vector.

5. The cooling fault detection method according to claim 2, characterized in that: The image acquisition device is a visible light camera, and the step of determining the injection characteristics of the nozzle assembly according to the operation image data includes: Determine the clarity of each area of ​​the plate and strip steel according to the running image data to obtain a plurality of clarity data; determining an amount of mist generated during operation of the nozzle assembly based on the plurality of clarity data; The spray characteristic is determined based on the mist volume.

6. The cooling fault detection method according to claim 1, characterized in that: The first characteristic data is a first characteristic vector, and the step of determining fault information according to the first characteristic data includes: Calculating a characteristic distance according to the first characteristic vector and each second characteristic vector, wherein the second characteristic vector is a characteristic vector corresponding to a fault condition of the plate strip cooling device before the current moment; The fault information is determined according to the characteristic distance.

7. The cooling fault detection method according to claim 1, characterized in that: Before the step of determining the first characteristic data of the plate and strip steel cooling device during operation according to the pressure change data and the operation image data, the step further includes: Determine identification information corresponding to each operating time according to the control data of the plate and strip steel cooling device, and obtain a first corresponding relationship, wherein the first corresponding relationship is a corresponding relationship between the operating time and the identification information, and the identification information is the current operating status of the cooling system; Determine first identification information corresponding to the pressure change data according to the first corresponding relationship and the time corresponding to the pressure change data, and determine second identification information corresponding to the operation image data according to the first corresponding relationship and the time corresponding to the operation image data; The pressure change data and the operation image data are matched according to the time sequence, the first identification information and the second identification information.

8. A cooling fault detection device, characterized in that: The cooling fault detection device is provided with a cooling system and an image acquisition device, wherein the cooling system comprises: a pressure stabilizing tank and a nozzle assembly, and the cooling fault detection device comprises: An acquisition module, used for acquiring pressure change data of the pressure stabilizing tank and controlling the image acquisition device to capture operation image data of the nozzle assembly; A calculation module, used to determine first characteristic data of the plate and strip steel cooling device during operation according to the pressure change data and the operation image data; An identification module is used to determine fault information according to the first characteristic data.

9. A strip steel cooling device, characterized in that: The plate and strip steel cooling equipment comprises: a memory, a processor and a cooling fault detection program stored in the memory and executable on the processor, wherein the cooling fault detection program is configured to implement the steps of the cooling fault detection method according to any one of claims 1 to 7.

10. A storage medium, characterized in that: The storage medium stores a cooling fault detection program, and when the cooling fault detection program is executed by the processor, the steps of the cooling fault detection method according to any one of claims 1 to 7 are implemented.

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