An exhaust fault detection method and device for a data center pipeline system

Abstract

The present application provides a method and device for detecting exhaust faults in a data center pipeline system. First, through multiple automatic exhaust valve fault warning devices distributed at different pipeline positions in the pipeline system, exhaust warning data of the pipeline system is obtained by detecting exhaust faults at various positions of the pipeline system. Thus, based on the obtained exhaust warning data, the exhaust fault type of the pipeline system can be accurately detected, and further, it can be distinguished whether it is the exhaust of the automatic exhaust valve fault warning device that fails or the exhaust problem caused by abnormal air intake in the pipeline system, so as to perform targeted repair or maintenance, and further ensure the safe and stable operation of the data center pipeline system.

Description

Technical Field

[0001] This application relates to the technical field of pipeline system safety, and more particularly, to a method and device for detecting exhaust faults in a data center pipeline system. Background Art

[0002] Currently, the liquid (such as water or coolant) in the pipelines of a data center pipeline system usually dissolves a certain amount of gas. When the physical environment (such as pressure, temperature) changes, a part of the gas dissolved in the liquid will be released, and these gases should not exist in the pipeline and need to be discharged from the pipeline in a timely manner.

[0003] In order to discharge the gas out of the pipeline, the common solution is to set manual exhaust valves or automatic exhaust valves to discharge the gas in the pipeline in a timely manner. However, the exhaust valves often malfunction, and the exhaust valves in the malfunction situation cannot discharge the gas in a timely manner, thus affecting the stable operation of the pipeline system. In addition, there is another phenomenon that when the operations during equipment maintenance and equipment maintenance are improper, abnormal air intake will occur in the pipelines of the pipeline system. At this time, not only the gas needs to be discharged in a timely manner, but also the cause of the fault needs to be investigated and repaired. Therefore, how to ensure the normal discharge of the gas in the pipeline system and timely monitor the occurrence of exhaust faults is the key factor to ensure the safe and stable operation of the data center pipeline system. Summary of the Invention

[0004] The purpose of the embodiments of this application is to provide a method and device for detecting exhaust faults in a pipeline system, so as to monitor and detect the exhaust faults of the current pipeline system, thereby ensuring the safe and stable operation of the data center pipeline system.

[0005] In a first aspect, the present invention provides a method for detecting exhaust faults in a data center pipeline system, the method includes: obtaining exhaust alarm data of the pipeline system, where automatic exhaust valve fault alarm devices are arranged at different pipeline positions of the pipeline system, and the exhaust alarm data is generated when the automatic exhaust valve fault alarm device detects an exhaust fault at the corresponding position; detecting the type of exhaust fault of the pipeline system according to the exhaust alarm data of the pipeline system.

[0006] For the above-designed method for detecting exhaust faults in a data center pipeline system, in this solution, first, the exhaust alarm data of the pipeline system is obtained through multiple automatic exhaust valve fault alarm devices distributed at different pipeline positions of the pipeline system to detect the exhaust faults at each position of the pipeline system. Then, based on the obtained exhaust alarm data, the type of exhaust fault of the pipeline system can be accurately detected, and further distinguish whether it is the exhaust of the automatic exhaust valve fault alarm device that fails or the exhaust problem caused by abnormal air intake of the pipeline system, so as to perform targeted repair or maintenance, and further ensure the safe and stable operation of the data center pipeline system.

[0007] In an alternative embodiment of the first aspect, detecting the exhaust fault type of the pipeline system according to the exhaust warning data of the pipeline system includes: obtaining the quantity of the exhaust warning data; determining the exhaust fault type of the pipeline system according to the quantity of the exhaust warning data.

[0008] In an alternative embodiment of the first aspect, the determining the exhaust fault type of the pipeline system according to the quantity of the exhaust warning data includes: judging whether the quantity of the exhaust warning data is greater than a first preset quantity threshold; if the quantity of the exhaust warning data is greater than the first preset quantity threshold, determining that the exhaust fault of the pipeline system is abnormal air intake of the pipeline.

[0009] In an alternative embodiment of the first aspect, after judging whether the quantity of the exhaust warning data exceeds the first preset quantity threshold, the method further includes: if the quantity of the exhaust warning data is not greater than the first preset quantity threshold, judging whether the quantity of the exhaust warning data is less than a second preset quantity threshold; if the quantity of the exhaust warning data is less than the second preset quantity threshold, determining that the automatic exhaust valve fault warning device generating the exhaust warning data fails.

[0010] In an alternative embodiment of the first aspect, after judging whether the quantity of the exhaust warning data is less than the second preset quantity threshold, the method further includes: if the quantity of the exhaust warning data is not less than the second preset quantity threshold and not greater than the first preset quantity threshold, judging whether the automatic exhaust valve fault warning device generating the exhaust warning data is accompanied by exhaust warning data; if the automatic exhaust valve fault warning device generating the exhaust warning data is accompanied by the exhaust warning data, determining that the fault type is abnormal air intake of the pipeline; if the automatic exhaust valve fault warning device generating the exhaust warning data does not have the exhaust warning data, determining that the automatic exhaust valve fault warning device fails, and the exhaust warning data is generated by monitoring the exhaust volume of the automatic exhaust valve fault warning device per unit time.

[0011] In the embodiment of the above design, this solution differentiates different fault types of the pipeline system based on the quantity of the exhaust warning data, so as to determine whether the exhaust fault of the pipeline system is caused by abnormal air intake of the pipeline or the failure of the automatic exhaust valve fault warning device, thereby accurately detecting the exhaust fault of the pipeline system, and further improving the timeliness and accuracy of fault repair.

[0012] In an alternative embodiment of the first aspect, after determining that the exhaust fault of the pipeline system is abnormal air intake of the pipeline, the method further includes: analyzing the position of the abnormal air intake according to the positions of all the automatic exhaust valve fault warning devices generating the exhaust warning data.

[0013] In an alternative embodiment of the first aspect, the method further includes: obtaining the location information of the automatic exhaust valve fault warning device that has failed; sending the location information of the automatic exhaust valve fault warning device that has failed to a preset address.

[0014] In the above embodiment, according to the location of all automatic exhaust valve fault warning devices that generate exhaust warning data, this solution analyzes the location of abnormal air intake or sends the location information of the failed automatic exhaust valve fault warning device to a preset address, enabling maintenance staff to perform repairs quickly, thereby improving the efficiency and accuracy of fault repair.

[0015] In an alternative embodiment of the first aspect, multiple automatic exhaust valve fault warning devices are respectively arranged at the top of the riser pipe, the bend pipe of several types, and the horizontal pipe of the water system pipeline.

[0016] In an alternative embodiment of the first aspect, the method further includes obtaining exhaust warning data, which is generated by monitoring the exhaust volume of the automatic exhaust valve fault warning device per unit time.

[0017] In an alternative embodiment of the first aspect, the method further includes determining whether the quantity of the exhaust warning data is greater than a first preset quantity threshold; if so, determining that the exhaust fault of the pipeline system is abnormal air intake of the pipeline.

[0018] In a second aspect, the present invention provides an exhaust fault detection device for a water system, which includes: an acquisition module for acquiring exhaust warning data of the pipeline system, where automatic exhaust valve fault warning devices are arranged at different pipeline positions of the pipeline system, and the exhaust warning data is generated when the automatic exhaust valve fault warning device detects an exhaust fault at the corresponding position; a detection module for detecting the type of exhaust fault of the pipeline system according to the exhaust warning data of the pipeline system.

[0019] For the above-designed exhaust fault detection device of the data center pipeline system, this solution first obtains the exhaust warning data of the pipeline system by detecting the exhaust faults at various positions of the pipeline system through multiple automatic exhaust valve fault warning devices distributed at different pipeline positions of the pipeline system. Then, based on the obtained exhaust warning data, the type of exhaust fault of the pipeline system can be accurately detected, further distinguishing whether it is the exhaust of the automatic exhaust valve fault warning device that fails or the exhaust problem caused by abnormal air intake of the pipeline system, so as to perform targeted repairs or maintenance, and thus ensure the safe and stable operation of the data center pipeline system.

[0020] In an alternative embodiment of the second aspect, the detection module is specifically configured to obtain the quantity of the exhaust warning data; determine the type of exhaust fault of the pipeline system according to the quantity of the exhaust warning data.

[0021] In an alternative embodiment of the second aspect, the detection module is further specifically configured to determine whether the number of the exhaust warning data is greater than a first preset number threshold; if the number of the exhaust warning data is greater than the first preset number threshold, it is determined that the exhaust fault of the pipeline system is abnormal air intake of the pipeline.

[0022] In an alternative embodiment of the second aspect, the device further includes an analysis module, configured to analyze the position of the abnormal air intake according to the positions of all the automatic exhaust valve fault warning devices that generate the exhaust warning data.

[0023] In an alternative embodiment of the second aspect, the detection module is further specifically configured to: if the number of the exhaust warning data is not greater than the first preset number threshold, determine whether the number of the exhaust warning data is less than a second preset number threshold; if the number of the exhaust warning data is less than the second preset number threshold, it is determined that the automatic exhaust valve fault warning device that generates the exhaust warning data fails.

[0024] In an alternative embodiment of the second aspect, the detection module is further specifically configured to: if the number of the exhaust warning data is not less than the second preset number threshold and not greater than the first preset number threshold, determine whether the automatic exhaust valve fault warning device that generates the exhaust warning data is accompanied by exhaust warning data; if the automatic exhaust valve fault warning device that generates the exhaust warning data is accompanied by the exhaust warning data, it is determined that the fault type is abnormal air intake of the pipeline; if the automatic exhaust valve fault warning device that generates the exhaust warning data does not have the exhaust warning data, it is determined that the automatic exhaust valve fault warning device fails, and the exhaust warning data is generated by monitoring the exhaust volume of the automatic exhaust valve fault warning device per unit time.

[0025] In an alternative embodiment of the second aspect, the acquisition module is further configured to acquire the position information of the automatic exhaust valve fault warning device that fails; the device further includes a sending module, configured to send the position information of the automatic exhaust valve fault warning device that fails to a preset address.

[0026] In a third aspect, the present application provides an electronic device, including a memory and a processor, where the memory stores a computer program, and when the processor executes the computer program, it executes the method in the first aspect or any optional implementation manner in the first aspect.

[0027] In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it executes the method in the first aspect or any optional implementation manner in the first aspect.

[0028] Fifth aspect, the present application provides a computer program product, which, when running on a computer, causes the computer to execute the method in the first aspect or any optional implementation manner in the first aspect.

[0029] The above description is only an overview of the technical solution of the present application. In order to be able to understand the technical means of the present application more clearly, it can be implemented according to the content of the specification. And in order to make the above and other purposes, features and advantages of the present application more obvious and understandable, the specific embodiments of the present application are specifically given below. Description of the Drawings

[0030] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required to be used in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present application, and therefore should not be regarded as limiting the scope. For those of ordinary skill in the art, without creative efforts, other related drawings can also be obtained based on these drawings.

[0031] Figure 1 The first flowchart of the exhaust fault detection method for the water system provided by the embodiment of the present application;

[0032] Figure 2 The structural schematic diagram of the water system provided by the embodiment of the present application;

[0033] Figure 3 The first structural schematic diagram of the automatic exhaust valve fault warning device provided by the embodiment of the present application;

[0034] Figure 4 The second structural schematic diagram of the automatic exhaust valve fault warning device provided by the embodiment of the present application;

[0035] Figure 5 The third structural schematic diagram of the automatic exhaust valve fault warning device provided by the embodiment of the present application;

[0036] Figure 6 The second flowchart of the exhaust fault detection method for the water system provided by the embodiment of the present application;

[0037] Figure 7 The third flowchart of the exhaust fault detection method for the water system provided by the embodiment of the present application;

[0038] Figure 8 The structural schematic diagram of the exhaust fault detection device for the water system provided by the embodiment of the present application;

[0039] Figure 9 The structural schematic diagram of the electronic device provided by the embodiment of the present application.

[0040] Icons: 10 - HVAC equipment; 20 - pipeline structure; 210 - water pump; 220 - horizontal main pipeline; 230 - several-shaped bent pipeline; 240 - pipeline high point; 250 - automatic exhaust valve fault warning device; 2510 - main tank; 2520 - float switch; 2530 - automatic exhaust valve; 2540 - manual exhaust valve; 2550 - maintenance valve; 2560 - liquid level sensor; 2570 - exhaust volume monitoring unit; C - first wire; D - second wire; 800 - acquisition module; 810 - detection module; 820 - analysis module; 830 - sending module; 9 - electronic device; 901 - processor; 902 - memory; 903 - communication bus. Detailed implementation manners

[0041] The embodiments of the technical solution of the present application will be described in detail below with reference to the accompanying drawings. The following embodiments are only used to illustrate the technical solution of the present application more clearly, so they are only examples and cannot be used to limit the protection scope of the present application.

[0042] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which this application belongs; the terms used herein are only for the purpose of describing specific embodiments and are not intended to limit this application; the terms "including" and "having" and any variations thereof in the specification and claims of this application and the above drawings are intended to cover non-exclusive inclusion.

[0043] In the description of the embodiments of the present application, technical terms such as "first" and "second" are only used to distinguish different objects and cannot be understood as indicating or implying relative importance or implicitly indicating the quantity, specific order or primary-secondary relationship of the indicated technical features. In the description of the embodiments of the present application, the meaning of "a plurality" is more than two, unless otherwise specifically defined.

[0044] Referring to "embodiments" herein means that specific features, structures or characteristics described in connection with the embodiments may be included in at least one embodiment of this application. The phrase appears in various places in the specification and does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art will explicitly and implicitly understand that the embodiments described herein can be combined with other embodiments.

[0045] In the description of the embodiments of the present application, the term "and / or" is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " in this article generally represents an "or" relationship between the associated objects before and after.

[0046] In the description of the embodiments of the present application, the term "plurality" refers to two or more (including two). Similarly, "multiple groups" refers to two or more groups (including two groups), and "multiple sheets" refers to two or more sheets (including two sheets).

[0047] In the description of the embodiments of the present application, for technical terms such as "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", "axial", "radial", "circumferential", etc., the orientation or positional relationship indicated is based on the orientation or positional relationship shown in the drawings. It is only for the convenience of describing the embodiments of the present application and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it should not be construed as a limitation to the embodiments of the present application.

[0048] In the description of the embodiments of the present application, unless otherwise clearly specified and limited, technical terms such as "installation", "connection", "connection", "fixation", etc. should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or integrated; it can also be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two elements or the interaction relationship between two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the embodiments of the present application can be understood according to specific circumstances.

[0049] With the rapid development of the Internet, cloud computing, and big data, the demand for data centers is increasing. The pipe systems in both the warm water system and the liquid cooling system face the difficulty of high availability requirements. On the other hand, with the development of Internet of Things technology, data centers are gradually transforming towards intelligent operation and maintenance. The primary task of solving intelligent operation and maintenance is the ability of anomaly recognition.

[0050] The inventor of the present application found that during the refrigeration process of a data center using a pipe system, the water / cooling medium in the pipes of the water system / liquid cooling system usually dissolves gas, and a part of the dissolved gas will be released during the cyclic refrigeration process. This part of the released gas needs to be promptly discharged outside the pipe to avoid affecting the operation of the pipe system. Currently, under normal circumstances, a manual exhaust valve or an automatic exhaust valve is generally installed on the pipes of the pipe system to achieve exhaust. However, when the exhaust valve fails, the gas cannot be discharged in time. In addition, abnormal air intake caused by improper operation will also cause the exhaust valve to be unable to completely and promptly discharge the gas.

[0051] To solve the above problems, the inventor designs a method and device for detecting exhaust faults in a data center pipeline system, which can detect exhaust faults in the pipeline system of the data center and distinguish whether it is an automatic exhaust valve fault or an abnormal intake air fault, so as to achieve different alarms. In addition, for exhaust valve faults, the fault location of the exhaust valve can be determined, so as to achieve precise maintenance, thereby improving the safety and stability of the operation of the data center pipeline system.

[0052] An embodiment of the present application provides a method for detecting exhaust faults in a data center pipeline system. This method can be applied to computing devices, which include but are not limited to computers, servers, chips, and remote monitoring systems, etc. For example, Figure 1 As shown, the method for detecting exhaust faults in the data center pipeline system can be implemented in the following manner:

[0053] Step S100: Obtain the exhaust warning data of the pipeline system.

[0054] Step S110: Detect the type of exhaust fault in the pipeline system according to the exhaust warning data of the pipeline system.

[0055] In the above implementation manner, the pipeline system in this solution can be the pipeline system of a warm water system cooled by water circulation, or the pipeline system of a liquid cooling system cooled by a coolant, etc. For example, Figure 2 A pipeline system including a heating, ventilation, and air conditioning (HVAC) device 10 and a pipeline structure 20 is used for non-limiting illustration. The pipeline structure 20 has a water pump 210, a horizontal main pipeline 220, a J-shaped bend pipeline 230, and a pipeline high point 240. Water or other liquids in the pipeline are pumped into the horizontal main pipeline, the J-shaped bend pipeline, and the pipeline high point by the water pump 210 and circulated through the HVAC device to achieve refrigeration or heating.

[0056] In addition, the pipeline system designed in this solution further includes an automatic exhaust valve fault warning device 250. The number of the automatic exhaust valve fault warning devices 250 is multiple, and the multiple automatic exhaust valve fault warning devices 250 are distributed at different positions of the pipeline structure 20. For example, the multiple automatic exhaust valve fault warning devices 250 can be respectively arranged on the horizontal main pipeline 220, the J-shaped bend pipeline 230, and the pipeline high point 240. Of course, in addition to being arranged at the above positions, the automatic exhaust valve fault warning device 250 can also be arranged at other positions of the pipeline structure 20. In addition, when arranged on the main horizontal pipeline 220, a paired distribution method can be adopted to avoid false warning situations caused by a single automatic exhaust valve fault warning device 250.

[0057] Under normal working conditions, the automatic exhaust valve failure warning device 250 can automatically exhaust the gas in the pipeline structure 20 and generate exhaust warning data when the gas cannot be effectively exhausted. Specifically, the automatic exhaust valve failure warning device 250 can be such as Figure 3 or Figure 4 The shown structure includes a main tank 2510, a float switch 2520, an automatic exhaust valve 2530, a manual exhaust valve 2540, a maintenance valve 2550, a first wire C, and a second wire D. A certain volume of liquid is contained in the main tank 2510. When the automatic exhaust valve failure warning device 250 can normally exhaust gas automatically through the automatic exhaust valve 2530, the main tank 2510 is almost full of liquid, so that the float of the float switch 2520 always floats at position A. At this time, the first wire C and the second wire D cannot conduct, and the automatic exhaust valve failure warning device 250 does not generate exhaust warning data; when the automatic exhaust valve 2530 of the automatic exhaust valve failure warning device 250 fails and cannot exhaust gas normally, resulting in insufficient exhaust, due to the accumulation of gas, the liquid level in the main tank 2510 drops. When the float of the float switch 2520 falls to position B, at this time, the float switch 2520 causes the first wire C and the second wire D to conduct, and the automatic exhaust valve failure warning device 250 generates exhaust warning data.

[0058] As another possible implementation, in a pipeline environment with high pressure or strong alkali, to avoid the corrosion of the float switch 2520, etc., the automatic exhaust valve failure warning device 250 can be such as Figure 5 The shown structure, please refer to Figure 5 , in this solution, the float switch 2520, the first wire C, and the second wire D in the automatic exhaust valve failure warning device 250 are replaced with a liquid level sensor 2560, so that when the liquid level sensor 2560 detects that the liquid level is lower than the preset liquid level position, exhaust warning data is generated, so that the designed automatic exhaust valve failure warning device 250 can work in an environment with high pressure, poor water quality, and strong corrosiveness.

[0059] In addition, each automatic exhaust valve failure warning device 250 can also include an exhaust volume monitoring unit 2570. The exhaust volume monitoring unit 2570 can monitor the exhaust volume of the automatic exhaust valve failure warning device 250. When a large amount of gas enters the pipeline structure 20, the exhaust volume of the automatic exhaust valve 2530 per unit time will increase significantly. Therefore, when the exhaust volume monitored by the exhaust volume monitoring unit 2570 per unit time is greater than the preset exhaust volume threshold, the automatic exhaust valve failure warning device 250 can also generate warning data. The unit time can be per second, per minute, etc. Specifically, the exhaust volume monitoring unit 2570 can be specifically a gas flow sensor, etc., such as a thermal air flow meter.

[0060] As can be seen from the above different scenarios, the automatic exhaust valve fault warning device 250 can generate different types of warning data in different exhaust fault scenarios. Specifically, in this solution, the warning data generated by the automatic exhaust valve fault warning device 250 due to the liquid level dropping below the preset position B can be called exhaust warning data; the exhaust warning data generated when the exhaust volume monitored by the exhaust volume monitoring unit 2570 per unit time is greater than the preset exhaust volume threshold can be called exhaust warning data.

[0061] As a possible implementation manner, since the situations at different positions are different, this solution can determine the exhaust volume thresholds of the automatic exhaust valve fault warning devices at different positions according to the pipe diameter information of the pipeline, the pipeline layout, and the installation position of the automatic exhaust valve fault warning device. For example, the amount of gas to be discharged from a horizontal pipeline and a type of elbow pipeline is different, and the amount of gas to be discharged from a type of elbow pipeline and the high point of the pipeline is different. Therefore, this solution can set different exhaust volume thresholds in advance according to different positions and establish a mapping relationship between the set exhaust volume thresholds and the corresponding positions / position identifiers. Specifically, as a specific setting scenario, when the length of the pipeline where the automatic exhaust valve fault warning device is located is longer and the pipe diameter is larger, the corresponding exhaust volume threshold of the automatic exhaust valve fault warning device is larger; when the number of automatic exhaust valve fault warning devices in the area where the automatic exhaust valve fault warning device is located is larger, the exhaust volume threshold of the automatic exhaust valve fault warning device is smaller.

[0062] In addition, in addition to using the exhaust volume monitoring unit to monitor the exhaust volume to generate warning data as described above, this solution can also use a pressure gauge to monitor the exhaust pressure of the automatic exhaust valve of the automatic exhaust valve fault warning device, so as to determine whether to generate exhaust warning data based on the exhaust pressure data.

[0063] On the above basis, this solution can detect the exhaust fault of the pipeline system based on the obtained exhaust warning data of the pipeline system. For example, this solution can detect whether the exhaust fault is caused by the failure of the automatic exhaust valve fault warning device or the abnormal intake of gas in the pipeline system of the pipeline system based on the exhaust warning data of multiple automatic exhaust valve fault warning devices, so as to accurately determine the cause of the exhaust fault of the pipeline system, and then perform precise repair or maintenance, thereby improving the efficiency and accuracy of solving the exhaust fault of the pipeline system.

[0064] The exhaust fault detection method for the data center pipeline system with the above design. In this solution, first, through multiple automatic exhaust valve fault warning devices distributed at different pipeline positions of the pipeline system, the exhaust warning data of the pipeline system obtained by detecting the exhaust faults at various positions of the pipeline system is used. Based on the obtained exhaust warning data, the exhaust fault types of the pipeline system can be accurately detected. Furthermore, it can be distinguished whether the exhaust fault is caused by the exhaust of the automatic exhaust valve fault warning device or the abnormal intake air of the pipeline system, so as to perform targeted repairs or maintenance, and thus ensure the safe and stable operation of the data center pipeline system.

[0065] In an alternative implementation of this embodiment, for step S110 above, this solution can detect the exhaust fault of the pipeline system through the solution as Figure 6 shown, including:

[0066] Step S600: Obtain the quantity of the exhaust warning data.

[0067] Step S610: Determine the exhaust fault type of the pipeline system according to the quantity of the exhaust warning data.

[0068] In the above implementation, the exhaust fault type may include the automatic exhaust valve fault of the automatic exhaust valve fault warning device or the abnormal intake air of the pipeline in the pipeline system.

[0069] When there is a large amount of abnormal intake air in the pipeline of the pipeline system, it will cause the automatic exhaust valve fault warning devices at multiple pipeline positions of the pipeline structure 20 to be unable to exhaust gas in time, resulting in multiple alarms. However, when there is an automatic exhaust valve fault in only one or a small number of automatic exhaust valve fault warning devices, there will be an exhaust fault only at the position of the faulty automatic exhaust valve fault warning device. Therefore, this solution can distinguish different exhaust fault types of the pipeline system according to the quantity of the exhaust warning data.

[0070] As a possible implementation, this solution can implement determining the exhaust fault type of the water system according to the quantity of the exhaust warning data through the implementation as Figure 7 shown, including:

[0071] Step S700: Judge whether the quantity of the exhaust warning data is greater than the first preset quantity threshold; if so, go to step S710; if not, go to step S720.

[0072] Step S710: Determine that the exhaust fault of the pipeline system is abnormal intake air of the pipeline.

[0073] Step S720: Judge whether the quantity of the exhaust warning data is less than the second preset quantity threshold; if so, go to step S730; if not, go to step S740.

[0074] Step S730: Determine that the automatic exhaust valve failure warning device that generates the exhaust warning data has failed.

[0075] Step S740: Determine whether the automatic exhaust valve failure warning device that generates the exhaust warning data is accompanied by exhaust warning data. If not, go to step 750; if so, go to step 760.

[0076] Step S750: Determine that the automatic exhaust valve failure warning device has failed.

[0077] Step S760: Determine that the failure type of the pipeline system is abnormal air intake in the pipeline.

[0078] In the above embodiment, the present solution first determines whether the number of exhaust warning data, that is, the number of automatic exhaust valve failure warning devices that generate warnings, is greater than the first preset number threshold. If it is greater than the first preset number threshold, it means that exhaust failures occur simultaneously at multiple pipeline positions in the pipeline system. Therefore, the present solution can determine that the exhaust failure of the pipeline system is abnormal air intake in the pipeline. If the number of exhaust warning data is not greater than the first preset number threshold, it means that the pipeline system has not yet had the situation of simultaneous exhaust failures at multiple places. On this basis, the present solution determines whether the number of exhaust warning data is less than the second preset number threshold, where the second preset number threshold is less than the first preset number threshold. If it is less than the second preset number threshold, it means that only a small number of positions in the pipeline system have exhaust failures in the current situation. At this time, it is considered that the exhaust failure problem is caused by the automatic exhaust valve of the automatic exhaust valve failure warning device that generates the exhaust warning data.

[0079] If it is determined based on the foregoing method that the number of exhaust warning data is between the second preset number threshold and the first preset number threshold, that is, the number of exhaust warning data is greater than the second preset number threshold and less than the first preset number threshold. At this time, it is impossible to accurately determine whether it is caused by abnormal air intake or automatic exhaust valve failure. On this basis, the present solution further obtains exhaust warning data. When the exhaust failure data is generated due to the liquid level drop and is accompanied by exhaust warning data, it means that the liquid level drop is because the exhaust volume is too large to discharge the gas in time, resulting in gas backlog and causing the liquid level drop. Therefore, it is determined that the problem of excessive collective exhaust volume is caused by abnormal air intake in the pipeline system of the pipeline system. On the contrary, it is considered to be a problem of the automatic exhaust valve failure of the automatic exhaust valve failure warning device. Thus, it is determined that the problem of excessive collective exhaust volume is caused by abnormal air intake in the pipeline system of the pipeline system. Among them, the present solution can pre-set different identifiers for the exhaust warning data generated by different methods for distinction. For example, the exhaust warning data generated by the float switch or liquid level detection can be marked as type I, and the exhaust warning data generated by the exhaust volume determination can be marked as type II. Of course, the present solution can also adopt other distinction methods, such as distinguishing by the type of the sending end of the exhaust warning data.

[0080] As an example, taking the aforementioned first preset quantity threshold as 7 and the second preset quantity threshold as 3, if the quantity of exhaust warning data is greater than 7, it is directly determined that the exhaust fault of the pipeline system is abnormal air intake of the pipeline; if the quantity of exhaust warning data is less than 3, at this time, it is directly determined that the automatic exhaust valve fault warning device that generates the exhaust warning data fails; if the quantity of exhaust warning data is greater than or equal to 3 and less than or equal to 7, for example, the exhaust warning data is 6, on this basis, it is further determined whether exhaust warning data appears simultaneously. It should be noted here that the above specific numerical examples are only for facilitating the understanding of this solution, and the preset quantity thresholds in the above embodiments can be adaptively adjusted according to the actual application scenario, and they are not limited to the scope of the above examples.

[0081] In addition, the exhaust fault type of the water system can also be determined according to the quantity of exhaust warning data, including: determining whether the quantity of exhaust warning data is greater than the first preset quantity threshold; if so, the exhaust fault of the pipeline system is abnormal air intake of the pipeline.

[0082] In the above embodiment, this solution differentiates different fault types of the pipeline system based on the quantity of exhaust warning data, so as to determine whether the exhaust fault of the pipeline system is caused by abnormal air intake of the pipeline or by the failure of the automatic exhaust valve fault warning device, thereby accurately detecting the exhaust fault of the pipeline system, and further improving the timeliness and accuracy of fault repair.

[0083] In an alternative embodiment of this embodiment, if this solution determines that the exhaust fault of the water system is abnormal air intake of the water pipeline through step S710, this solution can analyze the position of the abnormal air intake according to the positions of all automatic exhaust valve fault warning devices that generate exhaust warning data; if this solution determines that the exhaust fault of the water system is abnormal air intake of the pipeline through step S770, on this basis, this solution can analyze the reason for the abnormal air intake according to the positions of all automatic exhaust valve fault warning devices that generate exhaust warning data. For example, in accordance with Figure 2 , if the positions of all automatic exhaust valve fault warning devices that generate exhaust warning data are all behind the water pump, then it indicates that abnormal air intake occurs at a certain position behind the water pump. In addition to the foregoing method, this solution can also analyze the reason for the abnormal air intake based on the positions of all automatic exhaust valve fault warning devices that generate exhaust warning data and other information detected by the building equipment management system.

[0084] In an optional implementation of this embodiment, if this solution determines that the automatic exhaust valve fault alarm device that generates the exhaust alarm data fails, this solution can obtain the location information of the automatic exhaust valve fault alarm device that fails, and then send the location information to a preset address. Among them, the location information of the automatic exhaust valve fault alarm device can be collected by a location identification device (such as GPS, etc.) installed on the automatic exhaust valve fault alarm device, and is packaged and uploaded together with the exhaust alarm data generated by the automatic exhaust valve fault alarm device. The preset address can be the email address of the maintenance staff, the mobile phone SMS address of the maintenance staff, etc., so that the maintenance staff can quickly find the location of the faulty automatic exhaust valve fault alarm device and perform maintenance, thereby improving maintenance efficiency and accuracy. It should be noted here that according to the structure of the aforementioned automatic exhaust valve fault alarm device, the maintenance staff can disconnect the connection between the main tank 2510 and the water system pipeline through the inspection valve 2550 when performing maintenance, and then discharge the gas in the main tank 2510 through the manual exhaust valve 2540, and repair the automatic exhaust valve 2550.

[0085] Figure 8 The present application provides a schematic structural block diagram of an exhaust fault detection device for a data center pipeline system. It should be understood that the device is Figures 1 to 7 Corresponding to the method embodiment executed in, it is capable of executing the steps involved in the aforementioned method. The specific functions of the device can be found in the description above. To avoid repetition, the detailed description is appropriately omitted here. The device includes at least one software function module that can be stored in a memory in the form of software or firmware or solidified in the operating system (OS) of the device. Specifically, the device includes: an acquisition module 800, which is used to obtain exhaust alarm data of the pipeline system, and automatic exhaust valve fault alarm devices are provided at different pipeline positions of the pipeline system. The exhaust alarm data is generated when the automatic exhaust valve fault alarm device detects an exhaust fault at the corresponding position; a detection module 810, which is used to detect the exhaust fault of the pipeline system according to the exhaust alarm data of the pipeline system.

[0086] The exhaust fault detection device for the data center pipeline system designed above, this scheme first detects the exhaust faults at various positions of the pipeline system through multiple automatic exhaust valve fault alarm devices distributed at different pipeline positions of the pipeline system, and obtains the exhaust alarm data of the pipeline system, so that the exhaust fault type of the pipeline system can be accurately detected based on the obtained exhaust alarm data, and then distinguish whether it is the exhaust failure of the automatic exhaust valve fault alarm device or the exhaust problem caused by abnormal air intake of the pipeline system, so as to carry out targeted repairs or maintenance, thereby ensuring the safe and stable operation of the data center pipeline system.

[0087] In an alternative embodiment of this embodiment, the detection module 810 is specifically configured to obtain the quantity of exhaust warning data; and determine the exhaust fault type of the pipeline system according to the quantity of the exhaust warning data.

[0088] In an alternative embodiment of this embodiment, the detection module 810 is further specifically configured to determine whether the quantity of the exhaust warning data is greater than a first preset quantity threshold; if the quantity of the exhaust warning data is greater than the first preset quantity threshold, it is determined that the exhaust fault of the pipeline system is abnormal air intake of the pipeline.

[0089] In an alternative embodiment of this embodiment, the device further includes an analysis module 820, configured to analyze the position of the abnormal air intake according to the positions of all automatic exhaust valve fault warning devices that generate exhaust warning data.

[0090] In an alternative embodiment of this embodiment, the detection module 810 is further specifically configured to, if the quantity of the exhaust warning data is not greater than the first preset quantity threshold, determine whether the quantity of the exhaust warning data is less than a second preset quantity threshold; if the quantity of the exhaust warning data is less than the second preset quantity threshold, it is determined that the automatic exhaust valve fault warning device that generates the exhaust warning data has a fault.

[0091] In an alternative embodiment of this embodiment, the detection module 810 is further specifically configured to, if the quantity of the exhaust warning data is not less than the second preset quantity threshold and not greater than the first preset quantity threshold, determine whether the automatic exhaust valve fault warning device that generates the exhaust warning data is accompanied by exhaust warning data. If the automatic exhaust valve fault warning device that generates the exhaust warning data is accompanied by the exhaust warning data, it is determined that the fault type is abnormal air intake of the pipeline. If the automatic exhaust valve fault warning device that generates the exhaust warning data does not have the exhaust warning data, it is determined that the automatic exhaust valve fault warning device has a fault. The exhaust warning data is generated by monitoring the exhaust volume of the automatic exhaust valve fault warning device per unit time.

[0092] In an alternative embodiment of this embodiment, the acquisition module 800 is further configured to acquire the position information of the automatic exhaust valve fault warning device that has a fault; the device further includes a sending module 830, configured to send the position information of the automatic exhaust valve fault warning device that has a fault to a preset address.

[0093] According to some embodiments of the present application, such as Figure 9As shown in the figure, the present application provides an electronic device 9, including: a processor 901 and a memory 902. The processor 901 and the memory 902 are interconnected and communicate with each other through a communication bus 903 and / or other forms of connection mechanisms (not shown). The memory 902 stores a computer program executable by the processor 901. When the computing device runs, the processor 901 executes the computer program to execute the method in any optional implementation manner, such as steps S100 to S110: obtaining exhaust warning data of the pipeline system, and detecting exhaust faults of the pipeline system according to the exhaust warning data of the pipeline system.

[0094] The present application provides a computer-readable storage medium, on which a computer program is stored. When the computer program is run by a processor, it executes the method in any of the foregoing optional implementation manners.

[0095] Among them, the storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM for short), electrically erasable programmable read-only memory (EEPROM for short), erasable programmable read-only memory (EPROM for short), programmable read-only memory (PROM for short), read-only memory (ROM for short), magnetic memory, flash memory, magnetic disk or optical disk.

[0096] The present application provides a computer program product, which, when running on a computer, causes the computer to execute the method in any optional implementation manner.

[0097] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than limiting them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some or all of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application, and they should all be covered within the scope of the claims and the description of the present application. In particular, as long as there is no structural conflict, the technical features mentioned in each embodiment can be combined in any way. The present application is not limited to the specific embodiments disclosed in the text, but includes all technical solutions that fall within the scope of the claims.

Claims

1. A method for detecting exhaust faults in a pipeline system of a data center, characterized in that, The method includes: Obtaining exhaust warning data of the pipeline system. Automatic exhaust valve fault warning devices are set at different pipeline positions of the pipeline system, and the exhaust warning data is generated when the automatic exhaust valve fault warning device detects exhaust faults at the corresponding positions; Detecting the type of exhaust fault of the pipeline system according to the exhaust warning data of the pipeline system; The detecting the type of exhaust fault of the pipeline system according to the exhaust warning data of the pipeline system includes: Obtaining the quantity of the exhaust warning data; Determining the type of exhaust fault of the pipeline system according to the quantity of the exhaust warning data; The type of exhaust fault includes the automatic exhaust valve fault of the automatic exhaust valve fault warning device or abnormal air intake of the pipeline in the pipeline system; The determining the type of exhaust fault of the pipeline system according to the quantity of the exhaust warning data includes: judging whether the quantity of the exhaust warning data is greater than a first preset quantity threshold; If the quantity of the exhaust warning data is greater than the first preset quantity threshold, it is determined that the exhaust fault of the pipeline system is abnormal air intake of the pipeline; If the quantity of the exhaust warning data is not greater than the first preset quantity threshold, it is judged whether the quantity of the exhaust warning data is less than a second preset quantity threshold; If the quantity of the exhaust warning data is less than the second preset quantity threshold, it is determined that the automatic exhaust valve fault warning device generating the exhaust warning data fails.

2. The method according to claim 1, wherein After the judging whether the quantity of the exhaust warning data is less than the second preset quantity threshold, the method further includes: If the quantity of the exhaust warning data is not less than the second preset quantity threshold and not greater than the first preset quantity threshold, Then it is judged whether the automatic exhaust valve fault warning device generating the exhaust warning data is accompanied by exhaust warning data. If the automatic exhaust valve fault warning device generating the exhaust warning data is accompanied by exhaust warning data, it is determined that the fault type is abnormal air intake of the pipeline; If the automatic exhaust valve fault warning device generating the exhaust warning data does not have exhaust warning data, it is determined that the automatic exhaust valve fault warning device fails. The exhaust warning data is generated by monitoring the exhaust volume of the automatic exhaust valve fault warning device per unit time.

3. The method according to claim 2, wherein After the determining that the exhaust fault of the pipeline system is abnormal air intake of the pipeline, the method further includes: Analyzing the pipeline position of the abnormal air intake according to the positions of all the automatic exhaust valve fault warning devices generating the exhaust warning data.

4. The method according to claim 1 or 2, characterized in that The method further includes: Obtaining the position information of the automatic exhaust valve fault warning device that fails; Sending the position information of the automatic exhaust valve fault warning device that fails to a preset address.

5. The method according to claim 1, characterized in that The multiple automatic exhaust valve fault warning devices are respectively arranged at the top of the riser pipe, at the J-shaped bend pipeline and at the horizontal pipeline of the water system pipeline.

6. The method according to claim 1, characterized in that, The method further includes obtaining exhaust warning data, and the exhaust warning data is generated by monitoring the exhaust volume of the automatic exhaust valve fault warning device per unit time.

7. The method according to claim 6, characterized in that, The method further includes: judging whether the quantity of the exhaust warning data is greater than the first preset quantity threshold; if so, it is determined that the exhaust fault of the pipeline system is abnormal air intake of the pipeline.

8. An exhaust fault detection device for a data center pipeline system, characterized in that, A method for detecting exhaust faults of a data center pipeline system according to any one of claims 1-7, the device comprising: An acquisition module for acquiring exhaust warning data of the pipeline system, wherein automatic exhaust valve fault warning devices are provided at different pipeline positions of the pipeline system, and the exhaust warning data is generated when the automatic exhaust valve fault warning device detects an exhaust fault at the corresponding position; A detection module for detecting exhaust faults of the pipeline system according to the exhaust warning data of the pipeline system; The detection module is specifically configured to obtain the quantity of the exhaust warning data; determine the exhaust fault type of the pipeline system according to the quantity of the exhaust warning data; the exhaust fault type includes an automatic exhaust valve fault of the automatic exhaust valve fault warning device or abnormal air intake of the pipeline of the pipeline system.

9. The device according to claim 8, characterized in that, The device further comprises: an analysis module for analyzing the pipeline position of abnormal air intake according to the positions of all the automatic exhaust valve fault warning devices generating the exhaust warning data, wherein the exhaust warning data is generated by monitoring the exhaust volume of the automatic exhaust valve fault warning device per unit time.

10. The device according to claim 8 or 9, characterized in that, The device further comprises: a sending module for obtaining the position information of the automatic exhaust valve fault warning device having a fault; and sending the position information of the automatic exhaust valve fault warning device having a fault to a preset address.

11. An electronic device, comprising a memory and a processor, the memory storing a computer program, characterized in that, When the processor executes the computer program, the method according to any one of claims 1 to 7 is implemented.

12. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, the method according to any one of claims 1 to 7 is implemented.

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