CN112084096B - Cold channel sealing management method and device and terminal equipment - Google Patents
Cold channel sealing management method and device and terminal equipment Download PDFInfo
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- CN112084096B CN112084096B CN202011001861.3A CN202011001861A CN112084096B CN 112084096 B CN112084096 B CN 112084096B CN 202011001861 A CN202011001861 A CN 202011001861A CN 112084096 B CN112084096 B CN 112084096B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
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- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
- G06F11/3006—Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system is distributed, e.g. networked systems, clusters, multiprocessor systems
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3051—Monitoring arrangements for monitoring the configuration of the computing system or of the computing system component, e.g. monitoring the presence of processing resources, peripherals, I/O links, software programs
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/32—Monitoring with visual or acoustical indication of the functioning of the machine
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- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The invention is suitable for the technical field of machine room management, and particularly relates to a cold channel closed management method, a cold channel closed management device and terminal equipment, wherein the method comprises the following steps: acquiring cold channel image data in a target machine room, output cold quantity of an air conditioner at a current load rate and monitoring data corresponding to each cabinet monitoring point; establishing a three-dimensional monitoring data cloud picture of a target machine room; if the monitoring data of the cabinet monitoring points exceed the preset monitoring range, taking the cabinet monitoring points with the monitoring data exceeding the preset monitoring range as abnormal monitoring points; determining the abnormal reason of the abnormal monitoring point according to the cold channel image data, the three-dimensional monitoring data cloud picture or the first cold quantity data; and according to the abnormal reason, the alarm information is generated, the abnormal monitoring points can be captured in time and the abnormal reason can be determined, so that operation and maintenance personnel can be informed in time, further loss of cold quantity is avoided, and energy-saving operation of the cabinet is ensured.
Description
Technical Field
The invention belongs to the technical field of machine room management, and particularly relates to a cold channel sealing management method, a cold channel sealing management device and terminal equipment.
Background
At present, a data center machine room generally adopts a cold channel sealing method to improve energy conservation, a cold channel sealing system is based on a principle of separating cold air from hot air and flowing the cold air in order, cold air blown out by an air conditioner enters a sealed cold pool channel, equipment at the front end of a cabinet sucks cold air, and after the equipment is cooled, hot air is formed and is discharged to a hot channel from the rear end of the cabinet.
However, in the operation process of the machine room, the cold flow is lost and cannot be noticed due to poor tightness of the cold channel, and the energy saving performance is greatly reduced.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method, an apparatus, and a terminal device for cold aisle containment management, so as to solve the problem that in the prior art, the cold energy of a data center room is lost and the energy saving performance is greatly compromised.
A first aspect of an embodiment of the present invention provides a cold aisle containment management method, including:
acquiring cold channel image data in a target machine room, output cold quantity of an air conditioner at a current load rate and monitoring data corresponding to each cabinet monitoring point, wherein the monitoring data comprises cold quantity data;
establishing a three-dimensional monitoring data cloud picture of the target machine room based on the position information of each cabinet monitoring point in the target machine room;
if the monitoring data of the cabinet monitoring points exceed a preset monitoring range, taking the cabinet monitoring points with the monitoring data exceeding the preset monitoring range as abnormal monitoring points;
determining the abnormal reason of the abnormal monitoring point according to the cold channel image data, the three-dimensional monitoring data cloud picture or the first cold quantity data; the first cold quantity data comprises cold quantity data of the abnormal monitoring point and output cold quantity of the air conditioner under the current load rate;
and generating alarm information according to the abnormal reason.
A second aspect of an embodiment of the present invention provides a cold aisle containment management apparatus, including:
the data acquisition module is used for acquiring cold channel image data in a target machine room, the output cold quantity of the air conditioner at the current load rate and monitoring data corresponding to each cabinet monitoring point, wherein the monitoring data comprises cold quantity data;
the three-dimensional cloud picture creating module is used for creating a three-dimensional monitoring data cloud picture of the target machine room based on the position information of each cabinet monitoring point in the target machine room;
the abnormal monitoring point determining module is used for taking the cabinet monitoring point with the monitoring data exceeding the preset monitoring range as an abnormal monitoring point if the monitoring data of the cabinet monitoring point exceeds the preset monitoring range;
the abnormal reason acquisition module is used for determining the abnormal reason of the abnormal monitoring point according to the cold channel image data, the three-dimensional monitoring data cloud picture or the first cold data; the first cold quantity data comprises cold quantity data of the abnormal monitoring point and output cold quantity of the air conditioner under the current load rate;
and the alarm module is used for generating alarm information according to the abnormal reason.
A third aspect of the embodiments of the present invention provides a terminal device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the steps of the cold aisle containment management method when executing the computer program.
A fourth aspect of embodiments of the present invention provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the computer program implements the steps of the cold aisle containment management method as described above.
Compared with the prior art, the embodiment of the invention has the following beneficial effects: in the embodiment, cold channel image data in a target machine room, the output cold quantity of an air conditioner under the current load rate and monitoring data corresponding to each cabinet monitoring point are obtained; establishing a three-dimensional monitoring data cloud picture of a target machine room; if the monitoring data of the cabinet monitoring points exceed the preset monitoring range, taking the cabinet monitoring points with the monitoring data exceeding the preset monitoring range as abnormal monitoring points; determining the abnormal reason of the abnormal monitoring point according to the cold channel image data, the three-dimensional monitoring data cloud picture or the first cold quantity data; and according to abnormal reason generation alarm information, this application can in time catch unusual monitoring point and confirm abnormal reason to in time inform the operation and maintenance personnel, avoid the further loss of cold volume, guarantee the energy-conserving operation of rack.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only 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 inventive exercise.
Fig. 1 is a schematic flow chart of a cold aisle containment management method according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a cold aisle containment management apparatus according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a terminal device according to an embodiment of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
In order to explain the technical means of the present invention, the following description will be given by way of specific examples.
In one embodiment, as shown in fig. 1, fig. 1 shows an implementation flow of a cold channel sealing management method, which includes:
s101: acquiring cold channel image data in a target machine room, output cold quantity of an air conditioner at a current load rate and monitoring data corresponding to each cabinet monitoring point, wherein the monitoring data comprises cold quantity data;
s102: establishing a three-dimensional monitoring data cloud picture of the target machine room based on the position information of each cabinet monitoring point in the target machine room;
s103: if the monitoring data of the cabinet monitoring points exceed a preset monitoring range, taking the cabinet monitoring points with the monitoring data exceeding the preset monitoring range as abnormal monitoring points;
s104: determining the abnormal reason of the abnormal monitoring point according to the cold channel image data, the three-dimensional monitoring data cloud picture or the first cold quantity data; the first cold quantity data comprises cold quantity data of the abnormal monitoring point and output cold quantity of the air conditioner under the current load rate;
s105: and generating alarm information according to the abnormal reason.
The main flow body of the embodiment is terminal equipment, the terminal equipment collects output cold quantity of the air conditioner under the current load rate and monitoring data corresponding to each cabinet monitoring point through a moving loop monitoring system, and cold channel image data of the cold channel are collected through a camera.
Specifically, the present embodiment may arrange at least one cabinet monitoring point in one cabinet. The monitoring data corresponding to each cabinet monitoring point comprises temperature and humidity data and cold data.
In this embodiment, the preset monitoring range includes a preset temperature and humidity monitoring range and a preset cooling capacity monitoring range, and if the temperature and humidity data corresponding to the first equipment cabinet monitoring point exceeds the preset temperature and humidity monitoring range, or the cooling capacity data corresponding to the first equipment cabinet monitoring point exceeds the preset cooling capacity monitoring range, the first equipment cabinet monitoring point is taken as an abnormal monitoring point.
As can be seen from the above embodiments, in this embodiment, the cold channel image data in the target machine room, the output cold capacity of the air conditioner at the current load rate, and the monitoring data corresponding to the monitoring points of each cabinet are obtained; when the monitoring data of the cabinet monitoring points exceed the preset monitoring range, taking the cabinet monitoring points with the monitoring data exceeding the preset monitoring range as abnormal monitoring points; and then, according to the image data of the cold channel, the cloud picture of the three-dimensional monitoring data or the first cold capacity data, determining the abnormal reason of the abnormal monitoring point and giving an alarm, so that operation and maintenance personnel can be informed of the alarm information in time, further loss of cold capacity is avoided, and energy-saving operation of the cabinet is ensured.
In one embodiment, the three-dimensional monitoring data cloud picture comprises a three-dimensional cold data cloud picture and a three-dimensional temperature and humidity data cloud picture; s102 in fig. 1 includes:
s201: establishing a machine room three-dimensional model of the target machine room;
s202: acquiring position information of each cabinet monitoring point in the target machine room;
s203: and displaying the monitoring data corresponding to each cabinet monitoring point on the three-dimensional model of the machine room according to the position information of each cabinet monitoring point to form a three-dimensional cold data cloud picture and a three-dimensional temperature and humidity data cloud picture.
In this embodiment, the initially established machine room three-dimensional model of the target machine room is a model established according to the positions and the real layout of the cabinets in the target machine room. And after the monitoring data corresponding to each cabinet monitoring point is imported into the machine room three-dimensional model, a three-dimensional cold quantity data cloud picture and a three-dimensional temperature and humidity data cloud picture are formed.
Further, the embodiment can also perform alarm display on the abnormal monitoring point at the corresponding position of the three-dimensional model of the machine room. Specifically, the three-dimensional cold data cloud picture can represent the size of the cold data through different colors; similarly, the three-dimensional temperature and humidity data cloud picture can also express the size of the temperature and humidity data through different colors, and when abnormal monitoring points exist, the alarm can be displayed by flashing preset color circle points at the abnormal monitoring points.
Further, when the user wants to check the abnormal reason of the alarm, the user only needs to click the dot, and the terminal device obtains the identification information of the dot and displays the corresponding abnormal reason according to the identification information.
Specifically, the identification information may be a coordinate position or a number of the abnormal monitoring point corresponding to the dot.
By the display method, a user can conveniently check the cold quantity distribution and the temperature and humidity distribution of the whole data machine room, and can quickly locate when abnormal monitoring points exist, so that the problem of cold quantity leakage is solved in time, and the energy conservation of the data machine room is improved.
Furthermore, if a plurality of abnormal monitoring points exist in the target machine room, the abnormal monitoring points are sorted according to the abnormal reasons, and the abnormality is correspondingly displayed in the machine room three-dimensional model according to the sorting result, and the specific process is as follows:
1) Assigning an evaluation parameter for each abnormal reason, and setting an importance parameter for each cabinet monitoring point; and respectively endows the abnormal reasons and the importance of the cabinet monitoring points with weights. For example, the weight of the abnormality cause is 0.7, and the weight of the importance parameter of the cabinet monitoring point accounts for 0.3;
2) Weighting and summing the evaluation parameter and the importance parameter of at least one abnormal reason of the cabinet monitoring point to obtain the abnormal grade of the cabinet monitoring point;
3) According to the abnormal level, the machine room three-dimensional model adopts dot flashing alarm of different colors, and alarm information can be directly sent to a handheld terminal of a corresponding operation and maintenance worker when the abnormal level is high, so that the operation and maintenance worker can timely handle abnormal events.
In this embodiment, the specific implementation process of S104 in fig. 1 includes:
s301: monitoring whether a first early warning area exists in the three-dimensional temperature and humidity data cloud picture; the first early warning area is an area with temperature and humidity data larger than a preset temperature and humidity threshold value;
s302: if the first early warning area exists in the three-dimensional temperature and humidity data cloud picture, acquiring an area in a preset range around the first early warning area as an auxiliary judgment area;
s303: if the area of the first early warning area is smaller than or equal to a first preset area threshold value, and the difference value between the temperature and humidity average value of the first early warning area and the temperature and humidity average value of the auxiliary judgment area is larger than a first preset difference value, judging that the abnormality of the abnormal monitoring point is caused by the fact that a cold channel is not closed or the cold energy of a cabinet is leaked;
s304: and if the area of the first early warning area is larger than a first preset area threshold value, and the difference value between the temperature and humidity average value of the first early warning area and the temperature and humidity average value of the auxiliary judgment area is smaller than or equal to a first preset difference value, judging that the abnormal reason of the abnormal monitoring point is air conditioner cold output abnormality.
In this embodiment, the auxiliary judgment area is an area on the periphery of the first warning area, and the radiation area of the air conditioner corresponding to the first warning area may be set as the auxiliary judgment area of the first warning area.
Specifically, when the abnormal reason is that the cold channel is not closed or the cabinet cold quantity leaks, the air conditioner outputs the normal cold quantity, so that except the temperature and humidity of the leakage point are abnormal, other parts of the cold channel corresponding to the air conditioner and the cabinet are in a normal state, the area of the early warning area of the abnormal reason is small, the temperature and humidity difference between the early warning area and the auxiliary judgment area is large, and the abnormal reason can be determined by judging the area of the first early warning area and the temperature and humidity difference between the area of the first early warning area and the auxiliary judgment area.
On the other hand, when the abnormality cause is the abnormal air conditioner cooling output, the abnormal air conditioner cooling output may cause the temperature and humidity phenomenon corresponding to the abnormality cause to include: the cold channel and the cabinet area corresponding to the air conditioner are both in a high temperature state, and the area of the early warning area is large; and if the auxiliary judgment area is an area corresponding to the air conditioner except the early warning area, the auxiliary judgment area is smaller, and the temperature and humidity value of the auxiliary judgment area is not greatly different from the temperature and humidity value of the early warning area. The embodiment determines whether the reason of the abnormality is the abnormal output of the cooling capacity of the air conditioner through the phenomenon.
In one embodiment, the specific implementation flow of S104 in fig. 1 includes:
s401: judging whether the output cold quantity of the air conditioner under the current load rate is greater than a preset total cold quantity threshold value or not;
s402: if the output cold quantity of the air conditioner at the current load rate is larger than the preset total cold quantity threshold value, judging whether the cold quantity data of the abnormal monitoring point is smaller than a preset cabinet cold quantity threshold value;
s403: and if the cold quantity data of the abnormal monitoring point is smaller than the preset cabinet cold quantity threshold value, judging that the abnormal reason of the abnormal monitoring point is the cabinet cold quantity leakage.
In an embodiment, the specific implementation flow of S104 in fig. 1 further includes:
s501: if the output cold quantity of the air conditioner under the current load rate is less than or equal to the preset total cold quantity threshold value, adjusting the output cold quantity of the air conditioner under the current load rate;
s502: and if the output cold quantity of the adjusted air conditioner at the current load rate is less than or equal to the preset total cold quantity threshold value, judging that the abnormal reason of the abnormal monitoring point is the cold quantity output abnormality of the air conditioner.
In an embodiment, the specific implementation flow of S104 in fig. 1 further includes:
and judging that the abnormal reason is that the cold channel is not closed based on the cold channel image data.
In this embodiment, after it is determined that there is an abnormal monitoring point, it may be determined whether the cold aisle has an unsealed condition such as dropping of an inner sealing plate, opening of a door or a window, and the like by identifying image data of the cold aisle. And (5) checking the cold quantity leakage condition caused by the unclosed cold channel.
Secondly, whether the output cold quantity of the air conditioner under the current load is larger than a preset total cold quantity threshold value or not can be checked, if so, the positive pressure can be maintained in the cold channel, and the cold quantity output of the air conditioner has no problem; if the output cold quantity is smaller than or equal to the preset total cold quantity threshold value, the abnormal reason is that the output cold quantity of the air conditioner is abnormal. And if the adjusted output cold quantity of the air conditioner is larger than the preset total cold quantity threshold value, continuously judging whether the cold quantity data corresponding to the abnormal monitoring point is larger than the preset cabinet cold quantity threshold value.
If the detected cold quantity data corresponding to the abnormal cabinet monitoring point is smaller than or equal to the preset cabinet cold quantity threshold value, the abnormal reason is that the cabinet cold quantity is leaked.
The method can accurately acquire the abnormal reasons of the abnormal monitoring points, thereby' medicine is taken for the case, the abnormality is timely and quickly processed, and the further leakage of cold quantity is avoided.
In an embodiment, the method for closed management of a cold aisle further includes:
s601: acquiring the total cold quantity of the historical cold channel in the target machine room within a preset time period, calculating the predicted value of the total cold quantity of the cold channel at the current moment according to the total cold quantity of the historical cold channel in the target machine room within the preset time period, and taking the predicted value of the total cold quantity of the cold channel at the current moment as the preset threshold value of the total cold quantity at the current moment;
s602: acquiring historical cold quantity data of abnormal monitoring points in a preset time period, calculating a cold quantity data predicted value of the abnormal monitoring points at the current time according to the historical cold quantity data of the abnormal monitoring points in the preset time period, and taking the cold quantity data predicted value of the abnormal monitoring points at the current time as a preset cabinet cold quantity threshold value at the current time.
In this embodiment, the preset time period may be the same time period as the current time. And acquiring the total cold capacity of the cold channel in the historical time period, thereby predicting the predicted value of the total cold capacity of the cold channel at the current moment. For example, if the time period at the current time is 7.
In this embodiment, when the preset cabinet cooling capacity threshold value at the current time is calculated, the cooling capacity data prediction value at the current time can be calculated through the cooling capacity data of the abnormal monitoring point in the historical time period. And the cold quantity data prediction value at the current moment can be calculated through the cold quantity data of all the cabinet monitoring points with the same type as the abnormal monitoring points in the historical time period.
In this embodiment, after the total cold capacity prediction value of the cold passageway at the current time is calculated according to the total cold capacity of the historical cold passageway in the target machine room within the preset time period, the total cold capacity prediction value of the cold passageway at the current time may be multiplied by a first preset adjustment coefficient to obtain a preset total cold capacity threshold value.
Similarly, after the cold quantity data predicted value of the abnormal monitoring point at the current moment is calculated according to the historical cold quantity data of the abnormal monitoring point in the preset time period, the cold quantity data predicted value at the current moment can be multiplied by a second preset adjusting coefficient to obtain the preset cabinet cold quantity threshold value at the current moment.
Specifically, the same type mentioned in this embodiment is the same device model and/or the same device placement position.
In this embodiment, when the preset total cooling capacity threshold value and the preset cabinet cooling capacity threshold value are calculated through the above S601-S602, the cooling capacity judgment process at each time needs to acquire the preset total cooling capacity threshold value and the preset cabinet cooling capacity threshold value at that time. Therefore, the preset value is more suitable for the actual running condition, and the accuracy of determining the abnormal reason is improved.
In an embodiment of the invention, at least two methods of determining the abnormal reason of the abnormal monitoring point according to the cold channel image data, determining the abnormal reason of the abnormal monitoring point according to the first cold data and determining the abnormal reason of the abnormal monitoring point according to the three-dimensional monitoring data cloud picture can be integrated to obtain a final abnormal reason judgment result. Thereby further improving the accuracy of the closed monitoring of the cold channel.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by functions and internal logic of the process, and should not limit the implementation process of the embodiments of the present invention in any way.
In one embodiment, as shown in fig. 2, fig. 2 shows a structure of a cold aisle containment management device 100, which includes:
the data acquisition module 110 is configured to acquire cold channel image data in a target machine room, output cold of an air conditioner at a current load rate, and monitoring data corresponding to monitoring points of each cabinet, where the monitoring data includes cold data;
a three-dimensional cloud graph creating module 120, configured to create a three-dimensional monitoring data cloud graph of the target machine room based on location information of each cabinet monitoring point in the target machine room;
an abnormal monitoring point determining module 130, configured to, if there is monitoring data of the cabinet monitoring point exceeding a preset monitoring range, take the cabinet monitoring point whose monitoring data exceeds the preset monitoring range as an abnormal monitoring point;
an abnormal reason acquisition module 140, configured to determine an abnormal reason of the abnormal monitoring point according to the cold channel image data, the three-dimensional monitoring data cloud map, or the first cold data; the first cold quantity data comprises cold quantity data of the abnormal monitoring point and output cold quantity of the air conditioner under the current load rate;
and the alarm module 150 is configured to generate alarm information according to the abnormality.
In one embodiment, the three-dimensional monitoring data cloud picture comprises a three-dimensional cold data cloud picture and a three-dimensional temperature and humidity data cloud picture; the three-dimensional cloud map creation module 120 includes:
the three-dimensional model establishing module is used for establishing a machine room three-dimensional model of the target machine room;
the position information acquisition module is used for acquiring the position information of each cabinet monitoring point in the target machine room;
and the data import module is used for displaying the monitoring data corresponding to each cabinet monitoring point on the three-dimensional model of the machine room according to the position information of each cabinet monitoring point to form a three-dimensional cold data cloud picture and a three-dimensional temperature and humidity data cloud picture.
In one embodiment, the anomaly cause obtaining module 140 includes:
the early warning area judging unit is used for monitoring whether a first early warning area exists in the three-dimensional temperature and humidity data cloud picture; the first early warning area is an area with temperature and humidity data larger than a preset temperature and humidity threshold value;
an auxiliary judgment area obtaining unit, configured to obtain, if the first early warning area exists in the cloud image of the three-dimensional temperature and humidity data, an area within a preset range around the first early warning area as an auxiliary judgment area;
a fourth anomaly reason determining unit, configured to determine that an anomaly reason of the anomaly monitoring point is that the cold channel is not closed or the cabinet cold energy is leaked, if the area of the first early warning area is smaller than or equal to a first preset area threshold value, and a difference between the temperature and humidity average value of the first early warning area and the temperature and humidity average value of the auxiliary judgment area is greater than a first preset difference value;
and the fifth abnormal reason determining unit is used for judging that the abnormal reason of the abnormal monitoring point is the abnormal output of the air conditioner cold energy if the area of the first early warning area is larger than a first preset area threshold value and the difference value between the temperature and humidity average value of the first early warning area and the temperature and humidity average value of the auxiliary judging area is smaller than or equal to a first preset difference value.
In one embodiment, the anomaly cause obtaining module 140 includes:
the first output cold quantity judging unit is used for judging whether the output cold quantity of the air conditioner under the current load rate is larger than a preset total cold quantity threshold value or not;
the total cold quantity judging unit is used for judging whether the cold quantity data of the abnormal monitoring point is smaller than a preset cabinet cold quantity threshold value or not if the output cold quantity of the air conditioner under the current load rate is larger than the preset total cold quantity threshold value;
and the first abnormal reason determining unit is used for judging that the abnormal reason of the abnormal monitoring point is the cabinet cold leakage if the cold quantity data of the abnormal monitoring point is smaller than the preset cabinet cold quantity threshold value.
In one embodiment, the abnormality cause acquisition module 140 further includes:
the second output cold quantity judging unit is used for adjusting the output cold quantity of the air conditioner under the current load rate if the output cold quantity of the air conditioner under the current load rate is less than or equal to the preset total cold quantity threshold value;
and the second abnormal reason determining unit is used for judging that the abnormal reason of the abnormal monitoring point is the abnormal output of the air conditioner cold energy if the adjusted output cold energy of the air conditioner at the current load rate is less than or equal to the preset total cold energy threshold value.
In one embodiment, the anomaly cause obtaining module 140 further includes:
and the third abnormal reason determining unit is used for determining that the abnormal reason is that the cold channel is not closed based on the cold channel image data.
In one embodiment, the cold aisle containment management device 100 further comprises:
the preset total cold threshold value acquisition module is used for acquiring the historical total cold of the cold channel in the target machine room within a preset time period, calculating the predicted value of the total cold of the cold channel at the current moment according to the historical total cold of the cold channel in the target machine room within the preset time period, and taking the predicted value of the total cold of the cold channel at the current moment as the preset total cold threshold value at the current moment;
and the preset cabinet cold threshold value acquisition module is used for acquiring historical cold data of an abnormal monitoring point in a preset time period, calculating a cold data predicted value of the abnormal monitoring point at the current moment according to the historical cold data of the abnormal monitoring point in the preset time period, and taking the cold data predicted value of the abnormal monitoring point at the current moment as the preset cabinet cold threshold value at the current moment.
Fig. 3 is a schematic diagram of a terminal device according to an embodiment of the present invention. As shown in fig. 3, the terminal device 3 of this embodiment includes: a processor 30, a memory 31 and a computer program 32 stored in said memory 31 and executable on said processor 30. The processor 30, when executing the computer program 32, implements the steps in the various method embodiments described above, such as the steps 101 to 105 shown in fig. 1. Alternatively, the processor 30, when executing the computer program 32, implements the functions of each module/unit in the above-described device embodiments, such as the functions of the modules 110 to 150 shown in fig. 2.
The computer program 32 may be divided into one or more modules/units, which are stored in the memory 31 and executed by the processor 30 to accomplish the present invention. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of the computer program 32 in the terminal device 3. The terminal device 3 may be a desktop computer, a notebook, a palm computer, a cloud server, or other computing devices. The terminal device may include, but is not limited to, a processor 30, a memory 31. It will be understood by those skilled in the art that fig. 3 is only an example of the terminal device 3, and does not constitute a limitation to the terminal device 3, and may include more or less components than those shown, or combine some components, or different components, for example, the terminal device may also include an input-output device, a network access device, a bus, etc.
The Processor 30 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 31 may be an internal storage unit of the terminal device 3, such as a hard disk or a memory of the terminal device 3. The memory 31 may also be an external storage device of the terminal device 3, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the terminal device 3. Further, the memory 31 may also include both an internal storage unit and an external storage device of the terminal device 3. The memory 31 is used for storing the computer program and other programs and data required by the terminal device. The memory 31 may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the description of each embodiment has its own emphasis, and reference may be made to the related description of other embodiments for parts that are not described or recited in any embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the technical solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus/terminal device and method may be implemented in other ways. For example, the above-described embodiments of the apparatus/terminal device are merely illustrative, and for example, the division of the modules or units is only one type of logical function division, and other division manners may be available in actual implementation, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be through some interfaces, indirect coupling or communication connection of devices or units, and may be in an electrical, mechanical or other form.
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 place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit may be implemented in the form of hardware, or may also be implemented in the form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, read-Only Memory (ROM), random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; 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; such modifications and substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein.
Claims (9)
1. A cold channel sealing management method is characterized by comprising the following steps:
acquiring cold channel image data, output cold quantity of an air conditioner under the current load rate and monitoring data corresponding to each cabinet monitoring point in a target machine room, wherein the monitoring data comprises cold quantity data and temperature and humidity data;
establishing a three-dimensional monitoring data cloud picture of the target machine room based on the position information, the monitoring data and the machine room three-dimensional model of each cabinet monitoring point in the target machine room;
if the monitoring data of the cabinet monitoring points exceed a preset monitoring range, taking the cabinet monitoring points with the monitoring data exceeding the preset monitoring range as abnormal monitoring points;
determining the abnormal reason of the abnormal monitoring point according to the cold channel image data, the three-dimensional monitoring data cloud picture or the first cold quantity data; the first cold capacity data comprise cold capacity data of the abnormal monitoring point and output cold capacity of the air conditioner under the current load rate;
generating alarm information according to the abnormal reason;
the three-dimensional monitoring data cloud picture comprises a three-dimensional temperature and humidity data cloud picture;
the determining the abnormal reason of the abnormal monitoring point according to the cold channel image data, the three-dimensional monitoring data cloud picture or the first cold data comprises the following steps:
monitoring whether a first early warning area exists in the three-dimensional temperature and humidity data cloud picture; the first early warning area is an area with temperature and humidity data larger than a preset temperature and humidity threshold value;
if the first early warning area exists in the three-dimensional temperature and humidity data cloud picture, acquiring an area in a preset range around the first early warning area as an auxiliary judgment area;
if the area of the first early warning area is smaller than or equal to a first preset area threshold value, and the difference value between the temperature and humidity average value of the first early warning area and the temperature and humidity average value of the auxiliary judgment area is larger than a first preset difference value, judging that the abnormality of the abnormal monitoring point is caused by the fact that a cold channel is not closed or the cold energy of a cabinet is leaked;
and if the area of the first early warning area is larger than the first preset area threshold value, and the difference value between the temperature and humidity average value of the first early warning area and the temperature and humidity average value of the auxiliary judgment area is smaller than or equal to the first preset difference value, judging that the abnormal reason of the abnormal monitoring point is abnormal air conditioner cold output.
2. The cold aisle containment management method of claim 1, wherein the three-dimensional monitoring data cloud further comprises a three-dimensional cold data cloud; the establishing of the three-dimensional monitoring data cloud picture of the target machine room based on the position information of each cabinet monitoring point in the target machine room comprises the following steps:
establishing a machine room three-dimensional model of the target machine room;
acquiring position information of each cabinet monitoring point in the target machine room;
and displaying the monitoring data corresponding to each cabinet monitoring point on the three-dimensional model of the machine room according to the position information of each cabinet monitoring point to form a three-dimensional cold quantity data cloud picture and a three-dimensional temperature and humidity data cloud picture.
3. The cold aisle containment management method according to claim 1, wherein the determining of the abnormality reason of the abnormality monitoring point according to the cold aisle image data, the three-dimensional monitoring data cloud picture or the first cold data includes:
judging whether the output cold quantity of the air conditioner under the current load rate is greater than a preset total cold quantity threshold value or not;
if the output cold quantity of the air conditioner under the current load rate is larger than the preset total cold quantity threshold value, judging whether the cold quantity data of the abnormal monitoring point is smaller than a preset cabinet cold quantity threshold value;
and if the cold quantity data of the abnormal monitoring point is smaller than the preset cabinet cold quantity threshold value, judging that the abnormal reason of the abnormal monitoring point is the cabinet cold quantity leakage.
4. The cold aisle containment management method according to claim 3, wherein the determining of the reason for the abnormality of the abnormal monitoring point according to the cold aisle image data, the three-dimensional monitoring data cloud map or the first cold data further comprises:
if the output cold quantity of the air conditioner under the current load rate is less than or equal to the preset total cold quantity threshold value, adjusting the output cold quantity of the air conditioner under the current load rate;
and if the output cold quantity of the adjusted air conditioner at the current load rate is less than or equal to the preset total cold quantity threshold value, judging that the abnormal reason of the abnormal monitoring point is the cold quantity output abnormality of the air conditioner.
5. The cold aisle containment management method according to claim 1, wherein the determining of the abnormal reason of the abnormal monitoring point according to the cold aisle image data, the three-dimensional monitoring data cloud map or the first cold data further comprises:
and judging that the abnormal reason is that the cold channel is not closed based on the cold channel image data.
6. The cold aisle containment management method of claim 3, further comprising:
acquiring the total cold quantity of the historical cold channel in the target machine room within a preset time period, calculating the predicted value of the total cold quantity of the cold channel at the current moment according to the total cold quantity of the historical cold channel in the target machine room within the preset time period, and taking the predicted value of the total cold quantity of the cold channel at the current moment as the preset threshold value of the total cold quantity at the current moment;
acquiring historical cold quantity data of abnormal monitoring points in a preset time period, calculating a cold quantity data predicted value of the abnormal monitoring points at the current time according to the historical cold quantity data of the abnormal monitoring points in the preset time period, and taking the cold quantity data predicted value of the abnormal monitoring points at the current time as a preset cabinet cold quantity threshold value at the current time.
7. A cold aisle containment management device, comprising:
the data acquisition module is used for acquiring cold channel image data in a target machine room, the output cold quantity of the air conditioner under the current load rate and monitoring data corresponding to each cabinet monitoring point, wherein the monitoring data comprises cold quantity data and temperature and humidity data;
the three-dimensional cloud picture creating module is used for creating a three-dimensional monitoring data cloud picture of the target machine room based on the position information, the monitoring data and the machine room three-dimensional model of each cabinet monitoring point in the target machine room;
the abnormal monitoring point determining module is used for taking the cabinet monitoring point with the monitoring data exceeding the preset monitoring range as an abnormal monitoring point if the monitoring data of the cabinet monitoring point exceeds the preset monitoring range;
the abnormal reason acquisition module is used for determining the abnormal reason of the abnormal monitoring point according to the cold channel image data, the three-dimensional monitoring data cloud picture or the first cold quantity data; the first cold quantity data comprises cold quantity data of the abnormal monitoring point and output cold quantity of the air conditioner under the current load rate;
the alarm module is used for generating alarm information according to the abnormal reason;
the three-dimensional monitoring data cloud picture comprises a three-dimensional temperature and humidity data cloud picture;
the abnormality cause acquisition module includes:
the early warning area judging unit is used for monitoring whether a first early warning area exists in the three-dimensional temperature and humidity data cloud picture; the first early warning area is an area with temperature and humidity data larger than a preset temperature and humidity threshold value;
an auxiliary judgment area obtaining unit, configured to obtain, if the first early warning area exists in the cloud image of the three-dimensional temperature and humidity data, an area within a preset range around the first early warning area as an auxiliary judgment area;
a fourth anomaly reason determining unit, configured to determine that an anomaly reason of the anomaly monitoring point is that the cold channel is not closed or the cabinet cold energy leaks, if the area of the first early warning area is smaller than or equal to a first preset area threshold value, and a difference between the temperature and humidity average value of the first early warning area and the temperature and humidity average value of the auxiliary judgment area is greater than a first preset difference value;
and a fifth abnormality reason determining unit, configured to determine that the abnormality reason of the abnormality monitoring point is an air-conditioning cold output abnormality if the area of the first early warning area is greater than a first preset area threshold, and a difference between the temperature and humidity average value of the first early warning area and the temperature and humidity average value of the auxiliary judgment area is smaller than or equal to a first preset difference.
8. A terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor realizes the steps of the method according to any of claims 1 to 6 when executing the computer program.
9. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 6.
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| CN113657834A (en) * | 2021-08-20 | 2021-11-16 | 深圳市易流科技股份有限公司 | Monitoring method, device, equipment and storage medium based on video and temperature |
| CN114459533A (en) * | 2021-12-20 | 2022-05-10 | 广西交控智维科技发展有限公司 | Monitoring method and device for rail transit machine room |
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