CN115578350A - Liquid leakage detection method and system - Google Patents
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Abstract
The invention provides a method and a system for detecting leakage, wherein the method comprises the following steps: periodically acquiring image data of a target pipeline based on an image acquisition device; acquiring an image data change value according to the image data of the target pipeline in the current image acquisition period and the image data of the target pipeline in the last image acquisition period; and determining a liquid leakage detection result of the target pipeline according to the image data change value. According to the invention, through adopting a non-contact scheme of the image acquisition device, multidimensional image data acquisition is carried out on the surface of the liquid cooling pipeline to form multidimensional image data on the surface of the pipeline, and then the multidimensional image data acquired in real time is compared with the multidimensional image data acquired last time to judge whether the pipeline has a liquid leakage risk according to the comparison result, so that liquid leakage detection and identification can be carried out before liquid leakage is formed, the accuracy and the real-time performance of the detection of the liquid leakage of the pipeline are improved, and the liquid leakage is prevented from directly dripping on a running circuit board.
Description
Technical Field
The invention relates to the technical field of image recognition, in particular to a liquid leakage detection method and system.
Background
With the rapid development of industry upgrading and electronic information industry, various industries, such as banking, internet Technology (IT), short video, and high-speed rail, have higher and higher requirements on server performance and storage capacity. The improvement of the operational performance of the server brings about the increase of power consumption, the heat dissipation requirement is higher and higher, if the heat dissipation is not timely, a series of problems such as restarting, alarming and even downtime of the server can be caused, and the server is particularly used in a cabinet or a machine room.
In order to improve the heat dissipation performance of the whole server and reduce the dissipation power of the server and the power consumption of a server fan, the scheme of the liquid cooling type server is used rapidly, and low-temperature cold liquid flowing in a liquid cooling pipeline is used for conducting heat inside the server, so that the temperature is reduced. However, due to the pipeline, the risk that the server is abnormal due to liquid leakage in the pipeline often exists, once the leakage liquid drops are splashed on the circuit board, the short circuit and the damage of the server which is working are possibly caused, and even the problems of fire and the like are caused due to the short circuit.
At present, most of common server leakage detection schemes are detection belts with impedance, when low-temperature cold liquid flows through a pipeline, if leakage exists, leakage can drip on the detection belts, the impedance of the detection belts changes, and the leakage detection is realized by judging the change of the impedance of the detection belts through circuit design. However, in the existing leakage detection scheme of the liquid cooling pipeline of the server, the risk that leakage directly drops on the circuit board still exists, and when the leakage quantity is small or large, the detection real-time performance is poor and the leakage detection is inaccurate. Therefore, a method and a system for detecting leakage are needed to solve the above problems.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a leakage detection method and a leakage detection system.
The invention provides a leakage detection method, which comprises the following steps:
periodically acquiring image data of a target pipeline based on an image acquisition device;
acquiring an image data change value according to the image data of the target pipeline in the current image acquisition period and the image data of the target pipeline in the last image acquisition period;
and determining a leakage detection result of the target pipeline according to the image data change value.
According to the liquid leakage detection method provided by the invention, before the image data of the target pipeline is periodically acquired based on the image acquisition device, the method further comprises the following steps:
determining a plurality of segmented pipe regions in the target pipe;
arranging corresponding image acquisition devices in each segmented pipeline region;
the image data of the target pipeline is periodically acquired based on the image acquisition device, and the method comprises the following steps:
and based on each image acquisition device and a preset image acquisition period, acquiring image data of each corresponding segmented pipeline region to obtain the image data of each segmented pipeline region.
According to the liquid leakage detection method provided by the invention, the step of acquiring the image data of each corresponding segmented pipeline area based on each image acquisition device and a preset image acquisition period to obtain the image data of each segmented pipeline area comprises the following steps:
and acquiring multi-dimensional images of the corresponding segmented pipeline regions based on the acquisition azimuth information of each image acquisition device to obtain multi-dimensional image data of each segmented pipeline region in the current image acquisition period.
According to the liquid leakage detection method provided by the invention, before acquiring the multi-dimensional image data of each corresponding segmented pipeline region in the current image acquisition cycle based on the acquisition azimuth information of each image acquisition device and acquiring the multi-dimensional image data of each segmented pipeline region, the method further comprises the following steps:
determining image acquisition azimuth information of each image acquisition device in a last image acquisition period;
acquiring acquisition azimuth adjustment information of each image acquisition device according to the image acquisition azimuth information;
and adjusting the image acquisition direction of each corresponding image acquisition device through the acquisition direction adjustment information, so that the image acquisition devices after the image acquisition direction adjustment acquire multi-dimensional image data of the corresponding segmented pipeline region in the current image acquisition period.
According to the liquid leakage detection method provided by the invention, the adjustment of the image acquisition direction of each corresponding image acquisition device through the acquisition direction adjustment information comprises the following steps:
and adjusting the image acquisition position of each image acquisition device by presetting an acquisition position adjustment period and the acquisition position adjustment information, wherein the image acquisition position at least comprises the lower area position and the side area position of the surface of the target pipeline.
According to the liquid leakage detection method provided by the invention, the step of obtaining the image data change value according to the image data of the target pipeline in the current image acquisition cycle and the image data of the target pipeline in the last image acquisition cycle comprises the following steps:
acquiring first image data and second image data corresponding to a target segmented pipeline region in the target pipeline, wherein the first image data is image data acquired in the target segmented pipeline region in a current image acquisition period, and the second image data is image data acquired in the target segmented pipeline region in a previous image acquisition period;
when the acquisition direction information of the first image data and the second image data is determined to be the same, comparing pixel value data of the first image data and the second image data to acquire a pixel change value between the first image data and the second image data.
According to the liquid leakage detection method provided by the invention, the step of determining the liquid leakage detection result of the target pipeline according to the image data change value comprises the following steps:
and comparing the image data change value with a preset pixel change threshold value, and judging to know that the target pipeline has a liquid leakage condition if the image data change value is greater than or equal to the preset pixel change threshold value.
According to the liquid leakage detection method provided by the invention, the step of determining the liquid leakage detection result of the target pipeline according to the image data change value comprises the following steps:
and under the condition that the image data change value is determined to be larger than or equal to the preset pixel change threshold, generating corresponding pipeline leakage degree risk grade information according to the difference value between the image data change value and the preset pixel change threshold.
According to the liquid leakage detection method provided by the invention, after the liquid leakage detection result of the target pipeline is determined according to the image data change value, the method further comprises the following steps:
acquiring a corresponding target image acquisition device based on the image data with the leakage condition;
and determining a leakage area of the target pipeline according to the target image acquisition device.
According to the liquid leakage detection method provided by the invention, after the liquid leakage detection result of the target pipeline is determined according to the image data change value, the method further comprises the following steps:
acquiring an application scene type corresponding to the target pipeline;
generating a corresponding pipeline leakage detection signal when the target pipeline is determined to have a leakage condition;
and performing leakage detection on other pipelines under the same application scene type based on the pipeline leakage detection signal.
According to the liquid leakage detection method provided by the invention, after the image data acquisition is performed on each corresponding segmented pipeline region based on each image acquisition device and a preset image acquisition period to obtain the image data of each segmented pipeline region, the method further comprises the following steps:
and generating a simulated pipeline leakage display interface corresponding to the target pipeline according to the image data of each segmented pipeline area.
The present invention also provides a leakage detection system, comprising:
the image acquisition module is used for periodically acquiring image data of the target pipeline based on the image acquisition device;
the image data processing module is used for acquiring an image data change value according to the image data of the target pipeline in the current image acquisition period and the image data of the target pipeline in the last image acquisition period;
and the pipeline leakage judging module is used for determining the leakage detection result of the target pipeline according to the image data change value.
The invention also provides an electronic device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the program to realize the leakage detection method.
The present invention also provides a non-transitory computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method of leak detection as described in any of the above.
According to the method and the system for detecting the leakage, provided by the invention, the multidimensional image data acquisition is carried out on the surface of the liquid cooling pipeline by adopting a non-contact scheme of the image acquisition device to form the multidimensional image data on the surface of the pipeline, and then the multidimensional image data acquired in real time is compared with the multidimensional image data acquired last time to judge whether the pipeline has leakage risks according to the comparison result, so that the leakage detection identification can be carried out before the leakage is formed, the accuracy and the real-time performance of the leakage detection of the pipeline are improved, and the leakage is prevented from being directly dripped onto a running circuit board.
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In order to more clearly illustrate the technical solutions of the present invention or the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a schematic flow chart of a method for detecting leakage according to the present invention;
FIG. 2 is a schematic view of a pipeline leakage detection of a plurality of image capturing devices according to the present invention;
FIG. 3 is a schematic layout diagram of a multi-dimensional image capturing device according to the present invention;
FIG. 4 is a schematic view of a leak detection in an image capture state according to the present invention;
FIG. 5 is a schematic structural view of a liquid leakage detection system according to the present invention;
fig. 6 is a schematic structural diagram of an electronic device provided in the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
At present, most of common server leakage detection schemes are detection belts with impedance, when low-temperature cold liquid flows through a pipeline, if leakage exists, leakage can drip on the detection belts, so that the impedance of the detection belts changes, through circuit design, the impedance change of the detection belts is compared with a set value on a circuit, the change of the impedance of the detection belts is judged to realize leakage detection, and then after a leakage detection signal is detected through a base board Management Controller (BMC for short), operation such as power failure and the like is performed, alarm information is recorded, and data is stored in a control server. However, in the conventional leakage detection method, leakage detection can be performed only after the leaked liquid drops to the detection belt in the pipeline, and still there is a risk that the leaked liquid directly drops to the circuit board.
The invention utilizes the image acquisition device to carry out non-contact detection on the leakage condition of the pipeline, solves the problems of timeliness and accuracy existing in the line impedance change of the existing leakage detection belt, avoids the problems of server mainboard circuit short circuit, server system damage, data loss and the like caused by the fact that the leakage of the liquid cooling pipeline directly drips on the server circuit mainboard, greatly improves the timeliness and accuracy of the leakage detection of the liquid cooling server, saves cable connection, is convenient to assemble, and improves the working stability and the protection performance of the liquid cooling server.
Fig. 1 is a schematic flow chart of a liquid leakage detection method provided by the present invention, and as shown in fig. 1, the present invention provides a liquid leakage detection method, including:
In the present invention, a liquid cooling pipe of the server will be described. Specifically, in an embodiment, an image acquisition device, such as a camera, is disposed in the area below the liquid cooling pipeline, and periodically acquires an image below the liquid cooling pipeline, so as to acquire image data of the pipeline.
Preferably, in an embodiment, the liquid cooling pipeline is divided into a plurality of segmented pipeline regions (which can be divided according to actual needs, or divided equidistantly), an image acquisition device is arranged below each segmented pipeline region, each image acquisition device acquires an image of the outer surface of the lower part of the pipeline in a detection region of the image acquisition device, and when liquid leakage risks exist in image data acquired by the image acquisition device in a certain segmented pipeline region, the liquid leakage position can be quickly positioned.
Preferably, in an embodiment, the device for acquiring an image of the outer surface of the target pipeline may perform the setting of the acquisition orientation according to actual detection requirements, for example, the acquisition orientation of the image acquisition device is adjusted to the side surface of the target pipeline (the process of generating liquid drops when liquid leakage occurs on the side surface of the pipeline is relatively slow compared with the process of forming liquid drops when liquid leakage occurs below the pipeline), so as to further detect the possible liquid leakage risk of the target pipeline. It should be noted that, in this embodiment, if the acquisition orientation of the image acquisition device is adjusted, in the subsequent step, the image data of the current image acquisition cycle needs to be compared with the image data of the same acquisition orientation and the latest image acquisition cycle.
Optionally, in an embodiment, a preset acquisition orientation adjustment period may be further set, and the acquisition orientation of the image acquisition device is automatically adjusted, so that the intelligent degree of leakage detection is improved, and the target pipeline is subjected to omnibearing leakage detection.
102, acquiring an image data change value according to the image data of the target pipeline in the current image acquisition period and the image data of the target pipeline in the last image acquisition period.
In the invention, when leakage exists on the surface of a target pipeline, the characteristic that the outer surface of the pipeline is uneven due to the fact that the leakage leaks to the outer surface of the pipeline to form dripping liquid is utilized, image data can be obtained in real time through an image acquisition device (the image data initially obtained by the image acquisition device presents an arc shape with a certain rule), the image data is transmitted to a Programmable Gate Array (FPGA for short) in real time, after the image data is subjected to logic processing through the FPGA, the image data is compared with the image data of the previous time (the last period and the same acquisition direction), and whether the leakage occurs in the target pipeline is judged according to the change condition of pixel values in the image data in two periods.
And 103, determining a leakage detection result of the target pipeline according to the image data change value.
In the invention, when the image data change value exceeds the preset change threshold value, the current leakage risk of the target pipeline is judged and known, the leakage alarm indicator lamp can be lightened at the moment, the leakage risk data is transmitted to the BMC in real time, and whether the operation such as shutdown or alarm of the whole server machine is carried out or not is determined by the BMC according to the actual leakage detection result, so that the occurrence of short circuit and other serious accidents of the server mainboard caused by leakage is avoided. It should be noted that, in the present invention, the leakage detection result includes a leakage detection risk level of the target pipeline, and for a case with a higher risk level, the BMC selects a corresponding operation.
According to the liquid leakage detection method provided by the invention, the multidimensional image data acquisition is carried out on the surface of the liquid cooling pipeline by adopting the non-contact scheme of the image acquisition device to form the multidimensional image data on the surface of the pipeline, and then the multidimensional image data acquired in real time is compared with the multidimensional image data acquired last time to judge whether the pipeline has liquid leakage risk according to the comparison result, so that the liquid leakage detection identification can be carried out before the liquid leakage is formed, the accuracy and the real-time performance of the liquid leakage detection of the pipeline are improved, and the liquid leakage is prevented from directly dropping on a circuit board in operation.
On the basis of the above embodiment, before the periodically acquiring image data of the target pipeline based on the image acquisition device, the method further includes:
determining a plurality of segmented pipe regions in the target pipe;
arranging corresponding image acquisition devices in each segmented pipeline region;
the image data of the target pipeline is periodically acquired based on the image acquisition device, and the method comprises the following steps:
and based on each image acquisition device and a preset image acquisition period, acquiring image data of each corresponding segmented pipeline region to obtain the image data of each segmented pipeline region.
Fig. 2 is a schematic diagram of the detection of the pipe leakage of the multiple image acquisition devices according to the present invention, which can be seen with reference to fig. 2, in the present invention, the liquid cooling pipe of the server has multiple segmented pipe areas, each segmented pipe area is provided with one or more image acquisition devices (specifically, the number of image acquisition devices in the area can be determined according to the length of the segmented pipe in the segmented pipe area), each image acquisition device acquires multi-dimensional image data and transmits the image data to the FPGA, the FPGA processes the image data to form simulated multi-dimensional image data of the target pipe, and uploads the simulated multi-dimensional image data to the BMC, and then the BMC sends the processed image data to the host server (disposed in the cabinet or the machine room), so that the leakage information of the liquid cooling pipe can be checked through the BMC web and the host server. As shown in fig. 2, the liquid cooling pipeline in the present invention does not need to be matched with other modules for liquid leakage detection in a non-contact manner, and in the main board 1 of fig. 2 (i.e. the main board circuit topology with liquid leakage detection), the liquid cooling pipeline includes image acquisition devices 1 to n (for acquiring image data of the outer side of the surface of the liquid cooling pipeline in the current segmented pipeline region), an alarm indicator, an FPGA, a Joint Test Action Group (JTAG) interface, a crystal oscillator, a power conversion module, a BMC, and a BMC Flash.
Specifically, in the present invention, referring to fig. 2, the image acquisition device is configured to measure image data of an outer surface of the liquid cooling pipe in real time, and the FPGA is configured to process the image data transmitted by the image acquisition device and form a simulated liquid cooling pipe; the alarm indicator lamp is used for displaying whether the liquid cooling pipeline leaks or not; the JTAG interface is used for debugging and burning codes; the clock signal is generated by a crystal oscillator; the BMC module is communicated with the FPGA through a General-purpose input/output (GPIO) signal, an Inter-Integrated Circuit (IIC) signal and a Power _ EN signal to perform related function control; the BMC Flash is used for storing BMC codes; the power supply conversion module is used for converting a power supply signal to supply power. It should be noted that, in the invention, a plurality of image acquisition devices are placed on the circuit board right below the liquid cooling pipeline of the server, and the number of the image acquisition devices to be started can be obtained through debugging, for example, if a small number of image acquisition devices are arranged, the image acquisition range of each image acquisition device needs to be increased; on the contrary, if more image acquisition devices are needed to acquire the leaked liquid images below one section of liquid cooling pipeline, the acquisition range of each image acquisition device can be reduced to improve the detection precision of the leaked liquid, so that the positioning of the leaked liquid position can be quickly realized.
On the basis of the above embodiment, the acquiring image data of each corresponding segmented pipeline region based on each image acquisition device and a preset image acquisition period to obtain image data of each segmented pipeline region includes:
and acquiring multi-dimensional images of the corresponding segmented pipeline regions based on the acquisition azimuth information of each image acquisition device to obtain multi-dimensional image data of each segmented pipeline region in the current image acquisition period.
Fig. 3 is a layout schematic diagram of the multi-dimensional image acquisition device provided by the present invention, which can be referred to as fig. 3, in the present invention, an image acquisition device, for example, a pipeline lower portion or a pipeline side surface, is arranged at a corresponding position of each segmented pipeline region according to an actual leakage detection requirement (based on previous experience, image acquisition is performed on an acquisition position where there is a high leakage probability), so as to acquire multi-dimensional image data of all segmented pipeline regions of a target pipeline, and then, a leakage region is quickly located according to an installation position of the image acquisition device provided with leakage risk image data.
On the basis of the above embodiment, before acquiring the multi-dimensional image data of each segmented pipeline region in the current image acquisition cycle by performing the multi-dimensional image acquisition on each corresponding segmented pipeline region based on the acquisition azimuth information of each image acquisition device, the method further includes:
determining image acquisition azimuth information of each image acquisition device in the last image acquisition period;
acquiring acquisition azimuth adjustment information of each image acquisition device according to the image acquisition azimuth information;
and adjusting the image acquisition direction of each corresponding image acquisition device through the acquisition direction adjustment information, so as to acquire the multi-dimensional image data of the corresponding segmented pipeline region in the current image acquisition period through the image acquisition device after the image acquisition direction adjustment.
In the invention, when multi-dimensional image acquisition is performed on a plurality of segmented pipeline regions of a target pipeline, a default acquisition direction can be set for image acquisition directions of image acquisition devices corresponding to all the segmented pipeline regions, for example, a part of the image acquisition devices are set to acquire images below the pipeline, and the other part of the image acquisition devices are set to acquire images on the side surface of the pipeline. In the process of detecting leakage of the liquid cooling pipeline, the image acquisition direction of the image acquisition device in the current acquisition period can be adjusted according to the image acquisition direction information of the previous period of the image as time goes on, for example, the image acquisition device in a certain segmented pipeline region is used for acquiring the image under the pipeline before the current image acquisition period arrives, the acquisition direction of the image acquisition device is adjusted to the side surface of the pipeline for acquiring the image aiming at the segmented pipeline region, because the leakage condition of the pipeline can occur at a plurality of positions on the surface of the pipeline, compared with the area under the pipeline, the process of forming liquid drops in other regions (such as the side surface) on the surface of the pipeline is slow, and if only the image acquisition is carried out on the area under the pipeline, other leakage conditions can not be found more timely. Therefore, the real-time performance of the leakage detection is further accelerated by adjusting the image acquisition direction of the image acquisition device on the surface of the pipeline.
On the basis of the above embodiment, the adjusting the image capturing orientation of each corresponding image capturing device by the capturing orientation adjustment information includes:
and adjusting the image acquisition positions of each image acquisition device by presetting an acquisition position adjustment period and acquisition position adjustment information, wherein the image acquisition positions at least comprise the lower region position and the side region position of the surface of the target pipeline.
In the invention, in order to improve the omnibearing leakage detection of the surface of the pipeline, the acquisition direction of the image acquisition device can be automatically adjusted by setting a preset acquisition direction adjustment period. Specifically, in an embodiment, when the leakage occurs initially in the pipeline, the liquid drop formation process on the surface of the pipeline is relatively slow, so that, for the image acquisition device in a certain sectional pipeline area, after long-time image acquisition is performed on the same image acquisition orientation (such as under the pipeline surface), the situation that leakage occurs on the side surface of the pipeline may exist, since leakage occurs on the side surface and the leakage flows relatively slowly under the pipeline, the acquisition orientation adjustment period can be preset, the image acquisition orientation is periodically adjusted, so that the image acquisition device cannot always acquire images in the same orientation, and the problem that the leakage risk cannot be timely found due to incomplete leakage detection is avoided.
On the basis of the foregoing embodiment, the acquiring an image data change value according to image data of the target pipeline in a current image acquisition cycle and image data of the target pipeline in a previous image acquisition cycle includes:
acquiring first image data and second image data corresponding to a target segmented pipeline region in the target pipeline, wherein the first image data is image data acquired in the target segmented pipeline region in a current image acquisition period, and the second image data is image data acquired in the target segmented pipeline region in a previous image acquisition period;
comparing pixel value data of the first image data and the second image data when the acquisition orientation information of the first image data and the acquisition orientation information of the second image data are determined to be the same, and acquiring a pixel change value between the first image data and the second image data.
In the present invention, fig. 4 is a schematic diagram of liquid Leakage detection in an image acquisition state provided by the present invention, which can refer to fig. 4, when a liquid cooling pipe is in a normal condition, cold liquid in the liquid cooling pipe cools down the inside of a server, no liquid Leakage occurs in the liquid cooling pipe, an image acquisition device acquires an image data value (i.e., an image pixel value) on the outer surface of the liquid cooling pipe, and transmits the image data to an FPGA in real time, the FPGA compares the image data with previous image data after processing the image data, and acquires a change condition of the pixel value in the image data acquired in two image periods, and determines that no liquid Leakage occurs if the comparison result is within a preset threshold range, does not record the image data, does not need to turn on an alarm indicator lamp, and uploads a high level of a Leakage signal to a GPIO, and determines that no liquid Leakage is output after a high level signal is recognized, and does not perform any operation, and at the high level of a Leakage _ GE1_ N signal is uploaded to a cabinet or a host server of a machine room, and the host does not take over a master control function after the host is disconnected, and the system operates normally.
Further, as shown in fig. 2, when the cold liquid in the liquid cooling pipe cools the inside of the server, if the liquid cooling pipe above the motherboard 1 leaks, firstly, a droplet shape is slowly formed on the outer surface of the liquid cooling pipe (as shown in fig. 4), the image acquisition device acquires an image data value of the Leakage on the outer surface of the liquid cooling pipe, and transmits the image data to the FPGA in real time, the FPGA compares the processed data with the previous image data, when a part of data values in the image data is not within a preset threshold range (a preset pixel change threshold), that is, when the image pixel value acquired in the current period has a larger change amplitude than the image pixel value in the same previous acquisition orientation, the occurrence of the Leakage is determined, the GPIO is recorded, the alarm indicator is turned on, and a low level signal of a Leakage detection signal is sent to the BMC, and the occurrence of the Leakage is determined, executing server alarm, recording information such as alarm logs and Leakage positions, displaying the Leakage positions on a BMC web simulation pipeline, controlling an FPGA to perform operations such as Power-down of a server through a Power _ EN signal according to the Leakage risk degree, simultaneously uploading a high level of a Leakage _ GE1_ N signal to a host server of a cabinet or a machine room, displaying the Leakage positions on the simulation pipeline of the host server, taking over a main control function after the host server judges, and sending Leakage detection signals Leakage _ DET2_ N to Leakage _ DETn _ N to servers of the same type (servers of the same application scene type, such as being arranged in the same machine room and having the same server model number) when determining that the Leakage detection signals Leakage _ DET2_ N are sent to the servers of the same type, so that other servers also execute Leakage detection on the liquid cooling pipelines of the servers (for example, the liquid cooling pipelines at the mainboard 1 are areas of the image acquisition device 2 where Leakage occurs, the image acquisition devices of other servers are controlled to perform leakage detection on the same area in a centralized manner or adjust the corresponding acquisition directions), if leakage occurs, the same operation is executed, the leakage detection result is returned to the host server of the cabinet or the machine room, the summarized data is recorded, and later-stage pipeline upgrading is facilitated.
On the basis of the above embodiment, the determining a detection result of liquid leakage of the target pipeline according to the image data variation value includes:
and comparing the image data change value with a preset pixel change threshold value, and judging to know that the target pipeline has a liquid leakage condition if the image data change value is greater than or equal to the preset pixel change threshold value.
In the invention, when the outer surface of the pipeline has a liquid leakage condition, the image data acquired by an image acquisition device presents an irregular characteristic due to the existence of water drop-shaped liquid leakage on the outer surface of the pipeline, the FPGA processes the image data and compares the processed image data with the image data of the previous time to acquire the pixel value change condition between the image data of the same segmented pipeline area in the same acquisition direction, when the pixel value change value is greater than or equal to a preset pixel change threshold value, namely the image data change value is not within the preset threshold value range, the occurrence of liquid leakage is judged, at the moment, an alarm indicator lamp can be lightened, and the GPIO signal for detecting the liquid leakage is uploaded to the BMC. When the BMC receives the leakage detection abnormal signal, the BMC performs server alarming, leakage log recording, shutdown and other operations, uploads the leakage signal to a cabinet or a machine room host, the host takes over a master control function, issues the leakage detection signal to other servers, performs leakage detection, returns a leakage detection result, performs data statistics, and executes the same operation if other servers have leakage.
When the liquid cooling pipeline works normally, the liquid cooling pipeline transmits cold liquid to cool the inside of the server, if no liquid leakage exists in the liquid cooling pipeline, no water drop leakage exists on the outer surface of the liquid cooling pipeline at the moment, the change of the image data value is regular (for example, the change range of the pixel value is small in a multi-dimensional image of each acquisition period), the image data acquired by the image acquisition device is compared with the previous image data, the image data value is obtained within a preset threshold range, no liquid leakage is judged, GPIO (general purpose input/output) signal for liquid leakage detection is uploaded to BMC, no processing is carried out, and the server works normally.
On the basis of the above embodiment, the determining a detection result of the leakage of the target pipeline according to the image data variation value includes:
and under the condition that the image data change value is determined to be larger than or equal to the preset pixel change threshold, generating corresponding pipeline leakage degree risk grade information according to the difference value between the image data change value and the preset pixel change threshold.
In the present invention, when a liquid leakage condition occurs in the liquid cooling pipeline, as shown in fig. 4, the liquid leakage drops below the pipeline gradually increase with the passage of time, when the image acquisition device acquires an image of the region, the pixel values in the acquired multidimensional image also change correspondingly, and if the change value between the pixel value in the image data acquired in one image acquisition period and the image data acquired in the previous period is much greater than the preset pixel change threshold, it indicates that the current liquid leakage condition is a high risk. It should be noted that, corresponding risk grade division standards can be set according to the actual leakage detection requirements of the server liquid cooling pipeline, that is, corresponding leakage risk grade intervals are divided according to the difference value between the image data change value and the preset pixel change threshold value, so that the leakage degree of the pipeline at the moment can be determined according to the drain risk grade area.
On the basis of the above embodiment, after determining the detection result of the leakage of the target pipeline according to the image data variation value, the method further includes:
acquiring a corresponding target image acquisition device based on the image data with the leakage condition;
and determining a leakage area of the target pipeline according to the target image acquisition device.
In the invention, one or more image acquisition devices are arranged in each segmented pipeline area, so that when the leakage condition exists in the multi-dimensional image data acquired by any one image acquisition device, the leakage area of the target pipeline can be determined according to the source of the image data, thereby quickly realizing the positioning of the leakage position of the pipeline.
On the basis of the above embodiment, after determining the detection result of the leakage of the target pipeline according to the image data variation value, the method further includes:
acquiring an application scene type corresponding to the target pipeline;
when the target pipeline is determined to have a liquid leakage condition, generating a corresponding pipeline liquid leakage detection signal;
and performing leakage detection on other pipelines under the same application scene type based on the pipeline leakage detection signal.
In the invention, for a plurality of same servers in the same cabinet or machine room, the liquid cooling pipelines in the servers also have the same application scene, namely, the liquid cooling pipelines all provide cooling for the servers with the same model. Therefore, when the liquid cooling pipeline in a certain server is determined to have a liquid leakage condition, a corresponding pipeline liquid leakage detection signal can be generated at the moment, corresponding liquid leakage detection is performed on the liquid cooling pipelines of other servers, for example, the image acquisition direction is adjusted, and the image acquisition period is shortened, so that the liquid leakage risk of corresponding pipeline areas in other servers can be found in advance.
On the basis of the above embodiment, after the acquiring of the image data of each corresponding segmented pipeline region based on each image acquisition device and a preset image acquisition period to obtain the image data of each segmented pipeline region, the method further includes:
and generating a simulated pipeline leakage display interface corresponding to the target pipeline according to the image data of each segmented pipeline area.
In the invention, the corresponding leakage area position in the image is displayed on the BMC web and the simulation pipeline on the host service according to the image data, so that the maintenance of an operation and maintenance engineer is facilitated.
The present invention provides a liquid leakage detection system, which can be referred to in correspondence with the above-described liquid leakage detection method.
Fig. 5 is a schematic structural diagram of the liquid leakage detection system provided by the present invention, and as shown in fig. 5, the present invention provides a liquid leakage detection system, which includes an image acquisition module 501, an image data processing module 502, and a pipeline liquid leakage judgment module 503, where the image acquisition module 501 is configured to periodically acquire image data of a target pipeline based on an image acquisition device; the image data processing module 502 is configured to obtain an image data change value according to image data of the target pipeline in a current image acquisition period and image data of the target pipeline in a previous image acquisition period; the pipeline leakage judging module 503 is configured to determine a leakage detection result of the target pipeline according to the image data change value.
In the present invention, a liquid cooling pipe of the server will be described. Specifically, in an embodiment, an image acquisition device, such as a camera, is disposed in the area below the liquid cooling pipe, and the image acquisition module 501 is configured to periodically acquire an image below the liquid cooling pipe to obtain image data of the pipe.
Preferably, in an embodiment, the image capturing module 501 includes a plurality of image capturing devices, divides the liquid cooling pipeline into a plurality of segment pipeline regions (which may be divided according to actual needs, or may be divided at equal intervals), sets an image capturing device below each segment pipeline region, and captures an image of an outer surface below the pipeline in a detection region of the image capturing device.
Preferably, in an embodiment, the plurality of image capturing devices in the image capturing module 501 may perform capturing orientation setting according to actual detection requirements, for example, the capturing orientation of the image capturing device is adjusted to the side surface of the target pipeline (the process of generating liquid drops when liquid leakage occurs on the side surface of the pipeline is relatively slow compared to the process of forming liquid drops when liquid leakage occurs below the pipeline), and the possible liquid leakage risk of the target pipeline may be further detected. It should be noted that, in this embodiment, if the acquisition orientation of the image acquisition device is adjusted, in the subsequent step, the image data of the current image acquisition cycle needs to be compared with the image data of the same acquisition orientation and the latest image acquisition cycle.
Optionally, in an embodiment, a preset acquisition orientation adjustment period may be further set, and the acquisition orientation of each image acquisition device in the image acquisition module 501 is automatically adjusted, so that the intelligent degree of liquid leakage detection is improved, and the target pipeline is subjected to all-dimensional liquid leakage detection.
Further, in the present invention, when a liquid leakage occurs on the surface of the target pipeline, the image data processing module 502 utilizes the degree of liquid leakage to the outer surface of the pipeline to form liquid drops, which results in the characteristic that the outer surface of the pipeline is not flat, based on the image data acquired in real time by the image acquisition device (the image data initially acquired by the image acquisition device presents an arc shape with a certain rule), after performing logic processing by the FPGA, the image data is compared with the previous image data (in the previous period and in the same acquisition orientation), and whether liquid leakage occurs in the target pipeline is determined according to the change of the pixel values in the image data in the two periods.
Further, when it is determined that the image data change value exceeds the preset change threshold value, the pipeline leakage determining module 503 determines that the target pipeline has a leakage risk, and at this time, may light the leakage alarm indicator lamp, and transmit the leakage risk data to the BMC in real time, so as to determine whether to perform operations such as shutdown or alarm of the entire server through the BMC according to an actual leakage detection result, so as to avoid occurrence of a short circuit of the server motherboard and other serious accidents caused by leakage. It should be noted that, in the present invention, the leakage detection result includes a leakage detection risk level of the target pipeline, and for a case with a higher risk level, the BMC selects a corresponding operation.
According to the leakage detection system provided by the invention, the multidimensional image data acquisition is carried out on the surface of the liquid cooling pipeline by adopting the non-contact scheme of the image acquisition device to form the multidimensional image data on the surface of the pipeline, and then the multidimensional image data acquired in real time is compared with the multidimensional image data acquired last time to judge whether the pipeline has leakage risk according to the comparison result, so that leakage detection identification can be carried out before leakage is formed, the accuracy and the real-time performance of pipeline leakage detection are improved, and the leakage is prevented from directly dripping on a circuit board in operation.
On the basis of the embodiment, the system further comprises a pipeline region dividing module and an installation module, wherein the pipeline region dividing module is used for determining a plurality of segmented pipeline regions in the target pipeline; the installation module is used for arranging corresponding image acquisition devices in each segmented pipeline area;
the image acquisition module is further configured to:
and based on each image acquisition device and a preset image acquisition period, acquiring image data of each corresponding segmented pipeline region to obtain the image data of each segmented pipeline region.
On the basis of the above embodiment, the image acquisition module is further configured to:
and acquiring multi-dimensional images of the corresponding segmented pipeline regions based on the acquisition azimuth information of each image acquisition device to obtain multi-dimensional image data of each segmented pipeline region in the current image acquisition period.
On the basis of the embodiment, the system further comprises an acquisition orientation acquisition module, an orientation information processing module and an orientation adjustment module, wherein the acquisition orientation acquisition module is used for determining image acquisition orientation information of each image acquisition device in the last image acquisition period; the direction information processing module is used for acquiring acquisition direction adjustment information of each image acquisition device according to the image acquisition direction information; the direction adjusting module is used for adjusting the image acquisition direction of each corresponding image acquisition device through the acquisition direction adjusting information so as to acquire the multi-dimensional image data of the corresponding segmented pipeline region in the current image acquisition period through the image acquisition device after the image acquisition direction adjustment.
On the basis of the above embodiment, the orientation adjustment module is specifically configured to:
and adjusting the image acquisition position of each image acquisition device by presetting an acquisition position adjustment period and the acquisition position adjustment information, wherein the image acquisition position at least comprises the lower area position and the side area position of the surface of the target pipeline.
On the basis of the above embodiment, the image data processing module includes a first processing unit and a second processing unit, where the first processing unit is configured to obtain first image data and second image data corresponding to a target segmented pipe region in the target pipe, where the first image data is image data acquired in the target segmented pipe region in a current image acquisition cycle, and the second image data is image data acquired in the target segmented pipe region in a previous image acquisition cycle; the second processing unit is used for comparing pixel value data of the first image data and the second image data when the acquisition direction information of the first image data and the second image data is determined to be the same, and acquiring a pixel change value between the first image data and the second image data.
On the basis of the above embodiment, the pipeline leakage judging module is specifically configured to:
and comparing the image data change value with a preset pixel change threshold value, and judging to know that the target pipeline has a liquid leakage condition if the image data change value is greater than or equal to the preset pixel change threshold value.
On the basis of the above embodiment, the pipeline leakage judging module is further configured to:
and under the condition that the image data change value is determined to be larger than or equal to the preset pixel change threshold, generating corresponding pipeline leakage degree risk grade information according to the difference value between the image data change value and the preset pixel change threshold.
On the basis of the embodiment, the system further comprises a target device determining module and a leakage area positioning module, wherein the target device determining module is used for acquiring a corresponding target image acquisition device based on image data with leakage; and the liquid leakage area positioning module is used for determining a liquid leakage area of the target pipeline according to the target image acquisition device.
On the basis of the embodiment, the system further comprises a pipeline type determining module, a leakage detection signal generating module and a batch detection module, wherein the pipeline type determining module is used for acquiring the application scene type corresponding to the target pipeline; the liquid leakage detection signal generation module is used for generating a corresponding pipeline liquid leakage detection signal when the target pipeline is determined to have a liquid leakage condition; and the batch detection module is used for detecting leakage of other pipelines under the same application scene type based on the pipeline leakage detection signal.
On the basis of the above embodiment, the system further includes a simulated pipeline interface display module, configured to generate a simulated pipeline leakage display interface corresponding to the target pipeline according to the image data of each segmented pipeline region.
The system provided by the present invention is used for executing the above method embodiments, and for the specific processes and details, reference is made to the above embodiments, which are not described herein again.
Fig. 6 is a schematic structural diagram of an electronic device provided in the present invention, and as shown in fig. 6, the electronic device may include: a Processor (Processor) 601, a communication Interface (Communications Interface) 602, a Memory (Memory) 603 and a communication bus 604, wherein the Processor 601, the communication Interface 602 and the Memory 603 complete communication with each other through the communication bus 604. The processor 601 may call logic instructions in the memory 603 to perform a method of leak detection, the method comprising: periodically acquiring image data of a target pipeline based on an image acquisition device; acquiring an image data change value according to the image data of the target pipeline in the current image acquisition period and the image data of the target pipeline in the last image acquisition period; and determining a liquid leakage detection result of the target pipeline according to the image data change value.
In addition, the logic instructions in the memory 603 may be implemented in the form of software functional units and stored in a computer readable storage medium when the logic instructions are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In another aspect, the present invention also provides a computer program product comprising a computer program stored on a non-transitory computer-readable storage medium, the computer program comprising program instructions which, when executed by a computer, enable the computer to perform the method for detecting leakage provided by the above methods, the method comprising: periodically acquiring image data of a target pipeline based on an image acquisition device; acquiring an image data change value according to the image data of the target pipeline in the current image acquisition period and the image data of the target pipeline in the last image acquisition period; and determining a liquid leakage detection result of the target pipeline according to the image data change value.
In still another aspect, the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored, the computer program being implemented by a processor to perform the leakage detection method provided by the above embodiments, the method including: periodically acquiring image data of a target pipeline based on an image acquisition device; acquiring an image data change value according to the image data of the target pipeline in the current image acquisition period and the image data of the target pipeline in the last image acquisition period; and determining a liquid leakage detection result of the target pipeline according to the image data change value.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one position, or may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment may be implemented by software plus a necessary general hardware platform, and may also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (14)
1. A method of detecting a leak, comprising:
periodically acquiring image data of a target pipeline based on an image acquisition device;
acquiring an image data change value according to the image data of the target pipeline in the current image acquisition period and the image data of the target pipeline in the last image acquisition period;
and determining a liquid leakage detection result of the target pipeline according to the image data change value.
2. The method of claim 1, wherein prior to periodically acquiring image data of the target pipeline based on the image acquisition device, the method further comprises:
determining a plurality of segmented pipe regions in the target pipe;
arranging corresponding image acquisition devices in each segmented pipeline area;
the image data of the target pipeline is periodically acquired based on the image acquisition device, and the method comprises the following steps:
and based on each image acquisition device and a preset image acquisition period, acquiring image data of each corresponding segmented pipeline region to obtain the image data of each segmented pipeline region.
3. The method according to claim 2, wherein the acquiring image data of each corresponding segmented pipeline region based on each image acquisition device and a preset image acquisition period to obtain image data of each segmented pipeline region comprises:
and acquiring multi-dimensional images of the corresponding segmented pipeline regions based on the acquisition azimuth information of each image acquisition device to obtain multi-dimensional image data of each segmented pipeline region in the current image acquisition period.
4. The method of claim 3, wherein before the acquiring orientation information of each image acquisition device is used to acquire the multi-dimensional image of each corresponding segmented pipeline region, and the multi-dimensional image data of each segmented pipeline region in the current image acquisition cycle is obtained, the method further comprises:
determining image acquisition azimuth information of each image acquisition device in a last image acquisition period;
acquiring acquisition azimuth adjustment information of each image acquisition device according to the image acquisition azimuth information;
and adjusting the image acquisition direction of each corresponding image acquisition device through the acquisition direction adjustment information, so as to acquire the multi-dimensional image data of the corresponding segmented pipeline region in the current image acquisition period through the image acquisition device after the image acquisition direction adjustment.
5. The method according to claim 4, wherein the adjusting the image capturing orientation of each corresponding image capturing device by the capturing orientation adjustment information includes:
and adjusting the image acquisition positions of each image acquisition device by presetting an acquisition position adjustment period and acquisition position adjustment information, wherein the image acquisition positions at least comprise the lower region position and the side region position of the surface of the target pipeline.
6. The method for detecting liquid leakage according to claim 4, wherein the obtaining of the image data change value according to the image data of the target pipeline in the current image acquisition cycle and the image data of the target pipeline in the last image acquisition cycle comprises:
acquiring first image data and second image data corresponding to a target segmented pipeline region in the target pipeline, wherein the first image data is image data acquired in the target segmented pipeline region in a current image acquisition period, and the second image data is image data acquired in the target segmented pipeline region in a previous image acquisition period;
when the acquisition direction information of the first image data and the second image data is determined to be the same, comparing pixel value data of the first image data and the second image data to acquire a pixel change value between the first image data and the second image data.
7. The method according to any one of claims 1 to 6, wherein the determining a detection result of the leakage of the target pipeline according to the image data variation value comprises:
and comparing the image data change value with a preset pixel change threshold value, and if the image data change value is greater than or equal to the preset pixel change threshold value, judging that the target pipeline has a liquid leakage condition.
8. The method according to claim 7, wherein the determining the detection result of the leakage of the target pipeline according to the image data variation value comprises:
and under the condition that the image data change value is determined to be larger than or equal to the preset pixel change threshold, generating corresponding pipeline leakage degree risk grade information according to the difference value between the image data change value and the preset pixel change threshold.
9. The method according to any one of claims 2 to 6, wherein after determining the detection result of the leakage of the target pipe based on the image data variation value, the method further comprises:
acquiring a corresponding target image acquisition device based on the image data with the liquid leakage condition;
and determining a leakage area of the target pipeline according to the target image acquisition device.
10. The method of claim 1, wherein after determining the detection result of the target pipe for the leakage based on the image data variation value, the method further comprises:
acquiring an application scene type corresponding to the target pipeline;
generating a corresponding pipeline leakage detection signal when the target pipeline is determined to have a leakage condition;
and performing leakage detection on other pipelines under the same application scene type based on the pipeline leakage detection signal.
11. The method according to any one of claims 2 to 6, wherein after the step of acquiring image data of each corresponding segmented pipeline region based on each image acquisition device and a preset image acquisition period to obtain image data of each segmented pipeline region, the method further comprises:
and generating a simulated pipeline leakage display interface corresponding to the target pipeline according to the image data of each segmented pipeline area.
12. A leak detection system, comprising:
the image acquisition module is used for periodically acquiring image data of the target pipeline based on the image acquisition device;
the image data processing module is used for acquiring an image data change value according to the image data of the target pipeline in the current image acquisition period and the image data of the target pipeline in the last image acquisition period;
and the pipeline leakage judging module is used for determining the leakage detection result of the target pipeline according to the image data change value.
13. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of detecting a liquid leak according to any one of claims 1 to 11 when executing the computer program.
14. A non-transitory computer-readable storage medium having stored thereon a computer program, wherein the computer program, when executed by a processor, implements the leak detection method as claimed in any one of claims 1 to 11.
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| CN117523501B (en) * | 2024-01-04 | 2024-03-15 | 四川省铁路建设有限公司 | Control method and system for pipeline inspection robot |
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