CN110793653A - Temperature monitoring method and device - Google Patents
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- G—PHYSICS
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- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K1/00—Details of thermometers not specially adapted for particular types of thermometer
- G01K1/02—Means for indicating or recording specially adapted for thermometers
- G01K1/026—Means for indicating or recording specially adapted for thermometers arrangements for monitoring a plurality of temperatures, e.g. by multiplexing
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- G—PHYSICS
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- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K1/00—Details of thermometers not specially adapted for particular types of thermometer
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- G01K1/024—Means for indicating or recording specially adapted for thermometers for remote indication
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/4183—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by data acquisition, e.g. workpiece identification
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- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41845—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by system universality, reconfigurability, modularity
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
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Abstract
The invention discloses a temperature monitoring method and device. Wherein, the method comprises the following steps: acquiring temperature data acquired by a plurality of cabinet sensors, wherein the cabinet sensors are respectively arranged at preset positions of a cabinet, and the cabinet sensors are communicated with each other; positioning a plurality of cabinet sensors to obtain position information of the cabinet sensors; and monitoring the temperature distribution of the cabinet where the plurality of cabinet sensors are located according to the temperature data and the position information of the plurality of cabinet sensors. The invention solves the technical problems that the fault of the cabinet and the fault position cannot be effectively monitored in the related technology.
Description
Technical Field
The invention relates to the field of fault detection, in particular to a temperature monitoring method and device.
Background
Under the scene of data interaction between the remote cloud server and the actual cabinet, the cabinet infrastructure generally belongs to customers, and the remote cloud server cannot directly access and monitor the cabinet. The existing cabinets are mostly located in machine rooms, however, the design grade of the machine rooms is generally low, and a large number of machine rooms have certain potential safety hazards. For example, machine room refrigeration systems/airflow configurations suffer from varying degrees of defects, machine room monitoring systems are imperfect or even missing, etc. For the most common operation faults of the air conditioner in the machine room, the abnormal temperature conditions of the machine room and the cabinet can be caused. In order to solve the problem, a common solution is to directly mount a sensor on the ceiling of a machine room where the cabinet is located, but the sensor can be detected only after a period of time after the fault occurs, the sensor cannot be detected at the first time of the fault occurrence, and the specific fault occurrence position cannot be determined. In addition, many existing machine rooms and sensors on the ceiling are not arranged, or the number of the sensors on the ceiling is very small, so that the monitoring granularity of the cabinet monitoring system is rough, and the monitoring precision is low.
The monitoring system of the cabinet is generally not open to the monitoring system of the remote cloud server. In addition, because the interface standards of the cabinets of different customers are not uniform, no matter hardware interfaces or software communication is adopted, the monitoring system is overloaded under the condition that the number of customers is large due to the one-to-one compatible access mode. Based on the prior art, the remote cloud service end cannot accurately sense the specific position of the fault which may cause the temperature change of the cabinet, and cannot effectively and accurately monitor the cabinet.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
The embodiment of the invention provides a temperature monitoring method and a temperature monitoring device, which are used for at least solving the technical problems that the equipment cabinet cannot be subjected to faults and the fault occurrence position cannot be effectively monitored in the related technology.
According to an aspect of an embodiment of the present invention, there is provided a temperature monitoring method, including: the method comprises the steps of obtaining temperature data collected by a plurality of cabinet sensors, wherein the cabinet sensors are respectively arranged at preset positions of a cabinet, and the cabinet sensors are communicated with each other; positioning the cabinet sensors for collecting the data to acquire position information of the cabinet sensors; and monitoring the temperature distribution of the cabinet where the plurality of cabinet sensors are located according to the temperature data and the position information of the plurality of cabinet sensors.
According to another aspect of the embodiments of the present invention, there is provided another temperature monitoring method, including: the cabinet sensor collects temperature data, wherein the cabinet sensor is arranged on a preset position of a cabinet, and the cabinet sensor and the cabinet sensors arranged on other cabinets support intercommunication; positioning the cabinet sensor to acquire position information of the cabinet sensor; and sending the collected temperature data and the position information of the cabinet sensors to a monitoring server so that the monitoring server can monitor the temperature distribution of the cabinet where the cabinet sensors are located according to the temperature data and the position information sent by the cabinet sensors.
According to another aspect of the embodiments of the present invention, there is also provided a temperature monitoring apparatus, including: the system comprises a first acquisition module, a second acquisition module and a control module, wherein the first acquisition module is used for acquiring temperature data acquired by a plurality of cabinet sensors, the cabinet sensors are respectively arranged at preset positions of a cabinet, and the cabinet sensors are communicated with each other; the second acquisition module is used for positioning the plurality of cabinet sensors and acquiring the position information of the plurality of cabinet sensors; and the monitoring module is used for monitoring the temperature distribution of the cabinet where the plurality of cabinet sensors are located according to the temperature data and the position information of the plurality of cabinet sensors.
According to another aspect of the embodiments of the present invention, there is also provided another temperature monitoring apparatus, including: the system comprises an acquisition module, a temperature sensor and a control module, wherein the acquisition module is used for acquiring temperature data by a cabinet sensor, the cabinet sensor is arranged on a preset position of a cabinet, and the cabinet sensor and the cabinet sensors arranged on other cabinets support intercommunication; the positioning module is used for positioning the cabinet sensor to acquire the position information of the cabinet sensor; and the sending module is used for sending the acquired temperature data and the position information of the cabinet sensors to a monitoring server so that the monitoring server can monitor the temperature distribution of the cabinets where the plurality of cabinet sensors are located according to the temperature data and the position information sent by the plurality of cabinet sensors.
According to another aspect of the embodiments of the present invention, there is also provided a storage medium, where the storage medium includes a stored program, and when the program runs, the apparatus where the storage medium is located is controlled to execute any one of the above temperature monitoring methods.
According to another aspect of the embodiments of the present invention, there is also provided a temperature monitoring system, including: the temperature monitoring system comprises a monitoring server, a cabinet and a cabinet sensor arranged on the cabinet, wherein the cabinet sensor sends temperature data and position information to the monitoring server according to the other temperature monitoring method, and the monitoring server monitors the temperature distribution of the cabinet where the cabinet sensors are located according to any one of the temperature monitoring methods.
In the embodiment of the invention, the mode that the plurality of cabinet sensors are arranged on the cabinets of the machine room is adopted, the temperature monitoring is carried out by the temperature data collected by the plurality of cabinet sensors and the positions of the plurality of cabinet sensors, and the purpose of monitoring the faults of the cabinets according to the temperature data collected by the plurality of cabinet sensors and the positions of the plurality of cabinet sensors is achieved, so that the technical effect of effectively monitoring the faults of the machine room and the fault occurrence positions is realized, and the technical problems that the faults of the cabinets cannot be effectively monitored and the fault occurrence positions cannot be effectively monitored in the related technology are solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
fig. 1 shows a hardware configuration block diagram of a computer terminal (or mobile device) for implementing a temperature monitoring method;
FIG. 2 is a flow chart of a temperature monitoring method according to embodiment 1 of the present invention;
FIG. 3 is a flow chart of an alternative method of temperature monitoring according to embodiment 1 of the present invention;
FIG. 4 is a flowchart of another alternative temperature monitoring method according to embodiment 1 of the present invention;
FIG. 5 is a flowchart of another alternative temperature monitoring method according to embodiment 1 of the present invention;
fig. 6 is a flowchart of a method for diagnosing a machine room fault according to a preferred embodiment of embodiment 1 of the present invention;
FIG. 7 is a flowchart of another temperature monitoring method according to embodiment 2 of the present invention;
FIG. 8 is a schematic structural view of a temperature monitoring apparatus according to embodiment 3 of the present invention;
FIG. 9 is a schematic structural view of a temperature monitoring apparatus according to embodiment 4 of the present invention;
fig. 10 is a block diagram of a computer terminal according to embodiment 5 of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
First, some terms or terms appearing in the description of the embodiments of the present application are applicable to the following explanations:
BLE temperature sensor: bluetooth Low Energy is a Bluetooth Low Energy technology, the BLE temperature sensor is a temperature sensor which adopts the Bluetooth Low Energy technology to transmit data, the Bluetooth Low Energy technology is a robust wireless technology with Low cost, short distance and interoperability, and a plurality of intelligent means are utilized to reduce the power consumption to the maximum extent. Bluetooth low energy technology employs variable connection time intervals. In addition, because the BLE technology adopts a very quick connection mode, the BLE technology can be in a non-connection state at ordinary times, energy is effectively saved, two ends of a secondary link only know each other, the link is opened only when necessary, and then the link is closed in the shortest possible time after the BLE technology is used. The operating mode of BLE technology is well suited for transferring data from micro wireless sensors, or other peripherals such as remote controls using fully asynchronous communication. These devices transmit very small amounts of data, typically a few bytes, and also transmit only a few times, e.g., a few times per second or even a few times per minute.
RSSI (received Signal Strength indication), the optional portion of the radio transmission, is used to determine the connection quality and whether to increase the broadcast transmission Strength. The positioning technology is used for measuring the distance between a signal point and a receiving point through the strength of the received signal and further performing positioning calculation according to corresponding data.
Proprietary clouds: apsara Strack, can deploy complete cloud computing services in its own data center for enterprise customers.
And (3) edge calculation: the method is characterized in that a nearest-end service is provided nearby by adopting an open platform integrating network, computing, storage and application core capabilities on one side close to an object or a data source. The application program is initiated at the edge side, so that a faster network service response is generated, and the basic requirements of the industry in the aspects of real-time business, application intelligence, safety, privacy protection and the like are met. The edge computation is between the physical entity and the industrial connection, or on top of the physical entity. And the cloud computing still can access the historical data of the edge computing.
Example 1
There is also provided, in accordance with an embodiment of the present invention, a method embodiment of a temperature monitoring method, it being noted that the steps illustrated in the flowchart of the figure may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than that which is described herein.
The method provided by the embodiment 1 of the present application can be executed in a mobile terminal, a computer terminal or a similar computing device. Fig. 1 shows a hardware block diagram of a computer terminal (or mobile device) for implementing the temperature monitoring method. As shown in fig. 1, the computer terminal 10 (or mobile device 10) may include one or more (shown as 102a, 102b, … …, 102 n) processors 102 (the processors 102 may include, but are not limited to, a processing device such as a microprocessor MCU or a programmable logic device FPGA, etc.), a memory 104 for storing data, and a transmission module for communication functions. Besides, the method can also comprise the following steps: a display, an input/output interface (I/O interface), a Universal Serial Bus (USB) port (which may be included as one of the ports of the I/O interface), a network interface, a power source, and/or a camera. It will be understood by those skilled in the art that the structure shown in fig. 1 is only an illustration and is not intended to limit the structure of the electronic device. For example, the computer terminal 10 may also include more or fewer components than shown in FIG. 1, or have a different configuration than shown in FIG. 1.
It should be noted that the one or more processors 102 and/or other data processing circuitry described above may be referred to generally herein as "data processing circuitry". The data processing circuitry may be embodied in whole or in part in software, hardware, firmware, or any combination thereof. Further, the data processing circuit may be a single stand-alone processing module, or incorporated in whole or in part into any of the other elements in the computer terminal 10 (or mobile device). As referred to in the embodiments of the application, the data processing circuit acts as a processor control (e.g. selection of a variable resistance termination path connected to the interface).
The memory 104 may be used to store software programs and modules of application software, such as program instructions/data storage devices corresponding to the temperature monitoring method in the embodiment of the present invention, and the processor 102 executes various functional applications and data processing by running the software programs and modules stored in the memory 104, that is, implementing the above-mentioned vulnerability detection method for application programs. The memory 104 may include high speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include memory located remotely from the processor 102, which may be connected to the computer terminal 10 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The transmission device is used for receiving or transmitting data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider of the computer terminal 10. In one example, the transmission device includes a Network adapter (NIC) that can be connected to other Network devices through a base station to communicate with the internet. In one example, the transmission device may be a Radio Frequency (RF) module, which is used for communicating with the internet in a wireless manner.
The display may be, for example, a touch screen type Liquid Crystal Display (LCD) that may enable a user to interact with a user interface of the computer terminal 10 (or mobile device).
The hardware block diagram shown in fig. 1 may be taken as an exemplary block diagram of not only the computer terminal 10 (or mobile device) but also the server, and the computer terminal 10 (or mobile device) may be connected or electronically connected to one or more servers (e.g., a security server, a resource server, a game server, etc.) via a data network. In an alternative embodiment, the computer terminal 10 (or mobile device) may be any mobile computing device. The data network connection may be a local area network connection, a wide area network connection, an internet connection, or other type of data network connection. The computer terminal 10 (or mobile device) may execute to connect to a network service executed by a server (e.g., a secure server) or a group of servers. A web server is a network-based user service such as social networking, cloud resources, email, online payment, or other online applications.
Under the scene of miniaturized proprietary cloud or edge computing, the computer room infrastructure generally belongs to the customer, and the cloud server of the above-mentioned miniaturized proprietary cloud or edge computing can't directly visit and monitor the customer computer room, and because the computer room generally has certain potential safety hazard, needs long-range trouble in the computer room to monitor. The system comprises a miniaturized proprietary cloud, a data center of a client, a detection device (such as a sensor) and a data center of a client cabinet end, wherein the miniaturized proprietary cloud is a small-sized proprietary cloud service, the proprietary cloud service is a complete cloud computing service deployed in the data center of the client for an enterprise client, the data center of the client is provided by the cabinet, when the cabinet of the client breaks down, the fault is detected by the detection device (such as the sensor), the fault is sent to a remote proprietary cloud end, the cloud end processes the fault, and a processing instruction is sent to the data center of the client cabinet; the edge computing is that a server is adopted from one side of a data source to provide service, namely, the edge computing is directly given to the edge computing at the near end of the cabinet after the detection device finds a fault, the edge computing makes a response to a data center for processing and controlling the cabinet, the edge computing can be matched with remote cloud service for use, and under the condition of having a cloud end, the edge computing can feed back a processing result to the cloud service end.
The most common fault type in the machine room is the fault of the machine cabinet, the fault of the machine cabinet can cause the temperature of the machine room to rise, and if the fault is not processed in time, the machine cabinet is possibly paralyzed, and even the fire disaster happens to the machine room. In order to solve the above problems, in the related art, a temperature sensor is directly mounted on a ceiling of a machine room to detect the temperature of the machine room, but the detection range of a general temperature sensor is small, and each position in the machine room cannot be monitored, and once a position far away from the temperature sensor in the machine room fails, the temperature sensor cannot detect the temperature sensor, and the failure may be further worsened. In addition, a general machine room is only provided with one temperature sensor, the detection capability of the temperature of the machine room is very limited, the temperature of the whole machine room can be detected under the condition that the temperature of the whole machine room is increased after a fault occurs for a period of time, the detection cannot be carried out at the first time of the fault occurrence, the specific fault occurrence position cannot be determined, and the maintenance work of eliminating the fault by a client is not obviously facilitated.
Under the above operating environment, the present application provides an embodiment of a temperature monitoring method as shown in fig. 2. Fig. 2 is a flowchart of a temperature monitoring method according to embodiment 1 of the present invention, and as shown in fig. 2, the temperature monitoring method provided in the embodiment of the present application is implemented by some steps:
step S202, temperature data collected by a plurality of cabinet sensors are obtained, wherein the cabinet sensors are respectively arranged at preset positions of a cabinet, and the cabinet sensors are communicated with each other.
The execution subject of the above step S202 may be a server, a calculator, a controller, or the like. In this embodiment, the execution main body is a remote temperature controller.
The cabinet sensor may be a temperature sensor that detects a temperature of a specific position of the cabinet in the machine room, and the temperature sensor outputs parameter information including a temperature of the cabinet at the position. The temperature sensors are arranged at preset positions of the cabinet, and when the cabinet sensor is a temperature sensor, the temperature sensors are directly arranged on parts needing to be monitored, for example, the temperature of a central processing unit of the cabinet is monitored, and the temperature sensors are directly arranged on the central processing unit, so that the temperature of the central processing unit is monitored.
In the above embodiment, when the temperature sensor is an infrared temperature sensor, the infrared temperature sensor may not be disposed on the central processing unit, and the temperature sensor may be disposed at a position of the cabinet housing near the central processing unit, where the infrared temperature sensor may monitor the temperature of the central processing unit.
The temperature data is acquired by the temperature sensor, and according to different types of the temperature sensor, the temperature data can be transmitted through various wired electric signals or transmitted through wireless signals, and is related to a specific temperature sensor model, for example, the BLE temperature sensor transmits the temperature data through the wireless signals. For example, the parameter data is not limited to the form of the temperature data collected by the temperature sensor. For example, the temperature data collected by the temperature sensor may be transmitted in the form of a wired electrical signal or may be transmitted in the form of a wireless signal.
As an alternative embodiment of this embodiment, when there are multiple cabinet sensors, the multiple cabinet sensors support intercommunication. Data transmission and interaction can be performed between a plurality of cabinet sensors.
Step S204, positioning the cabinet sensors and acquiring the position information of the cabinet sensors.
The position information of the multiple cabinet sensors refers to actual detection positions of the cabinet sensors in the machine room, and the position information of the cabinet sensors in the physical space of the machine room is used for determining the detection positions of the cabinet sensors. The detection location may be a specific location in the machine room where a fault is likely to occur. For example, the detection position may be on a Central Processing Unit (CPU), and a CPU (central Processing unit) chip may easily generate high temperature, and if the temperature is too high, the temperature may affect itself and surrounding components, or even cause self failure, so that the temperature of the CPU needs to be monitored, and at least one temperature sensor is provided on the CPU.
In the above embodiment, the positions of the cabinet sensors may also be detection positions that are uniformly arranged, for example, in a circuit line network, since a line has a long length and a large span, when monitoring the temperature of a certain line, a plurality of cabinet sensors are uniformly distributed on the line, the temperatures of a plurality of detection positions on the line can be monitored, and when a fault occurs, the fault occurrence position can be effectively determined.
In the above embodiment, the location information includes the layout locations of the cabinet sensors in the machine room, and the layout locations of the cabinet sensors in the machine room are different due to different types of the cabinet sensors, and the layout rules of the cabinet sensors in the machine room of each client are different, the layout rules of the cabinet sensors arranged in the same machine room of the same client at different times may also be different, and there is a possibility that the layout of the cabinet sensors on some cabinets is irregular, which causes a problem that the location of the cabinet sensors is difficult to determine.
In the above embodiment, to address the above problem, the embodiment first locates the cabinet sensor, and obtains the position information of the cabinet sensor. The above-mentioned position information who obtains the rack sensor can be realized through multiple mode. For example, the cabinet sensor may be located by GPS and the location information of the cabinet sensor may be obtained. Or, the cabinet sensor may be positioned by using a signal strength indicator RSSI technology, and the position information of the cabinet sensor may be acquired.
In the above embodiment, based on the support of intercommunication among the multiple cabinet sensors, when the RSSI technology is implemented specifically, the strength of the wireless signal between the cabinet sensors is detected, so as to automatically calculate the distance between the cabinet sensors in communication with each other, and then according to a self-positioning algorithm, the spatial three-dimensional positioning is automatically performed, so as to determine the location information of the cabinet sensors, where the location information includes the specific location of the space where the cabinet sensors are located and other physical space information. Compare in above-mentioned through GPS to rack sensor location, positioning accuracy is high, and data analysis volume is little, does not receive the influence of good and bad of signal environment. For example, GPS positioning requires a good signal environment to receive GPS signals.
And S206, monitoring the temperature distribution of the cabinet where the cabinet sensors are located according to the temperature data and the position information of the cabinet sensors.
In the above embodiment, the fault of the predetermined detection position of the cabinet where the cabinet sensor is located may be monitored according to the temperature data and the position information of the plurality of cabinet sensors, and may be implemented in various ways. For example, a safety threshold may be set for temperature data collected by a cabinet sensor through an arithmetic module (or an arithmetic unit), a normal temperature range of a certain detection position is determined, the normal temperature range is used as a safety threshold of the temperature data detected at the detection position, and the arithmetic module (or the arithmetic unit) determines that a fault occurs at the detection position and gives an early warning when the certain temperature data exceeds the safety threshold.
In the above embodiment, the monitoring mode may also be that a machine room real-time temperature visual cloud picture is established through software according to the temperature data and the position information of the plurality of cabinet sensors, and the visual cloud picture has the advantages of vivid image and strong expressive force.
In the above embodiment, when the temperature visualization cloud picture is established, the temperature information of the single cabinet sensor may be in one-to-one correspondence with the preset position information of the cabinet sensor, and then the temperature information of the cabinet sensor and the preset position information of the cabinet sensor are subjected to data processing and graphical rendering on the remote cloud platform, so as to form the real-time temperature cloud picture.
In the embodiment of the invention, a mode of arranging a plurality of cabinet sensors on the cabinet of the machine room is adopted, and temperature monitoring is carried out by the temperature data collected by the plurality of cabinet sensors and the positions of the plurality of cabinet sensors, so that the purpose of monitoring the faults of the cabinet according to the temperature data collected by the plurality of cabinet sensors and the positions of the plurality of cabinet sensors is achieved, the technical effect of effectively monitoring the faults of the machine room and the fault occurrence positions is realized, and the technical problems that the faults of the cabinet cannot be effectively monitored and the fault occurrence positions cannot be effectively monitored in the related technology are solved.
Fig. 3 is a flowchart of an alternative temperature monitoring method according to embodiment 1 of the present invention, and as an alternative embodiment of this embodiment, as shown in fig. 3, the locating the cabinet sensor that collects data, and acquiring the location information of the cabinet sensor includes:
step S302, determining position information of a first cabinet sensor in a plurality of cabinet sensors, wherein the first cabinet sensor is any one of the plurality of cabinet sensors;
step S304, determining the relative position relationship between the position information of the first cabinet sensor and the position information of the other two cabinet sensors;
and S306, determining the position information of the other two cabinet sensors according to the relative position relationship and the position information of the first cabinet sensor.
In this embodiment of the application, the RSSI technology locates the cabinet sensor to obtain the location information of the cabinet sensor, and may be to determine the location information of a first cabinet sensor first, and determine the location information of two other cabinet sensors according to the location information of the first cabinet sensor and the corresponding relationship between the two other cabinet sensors and the first cabinet sensor.
In the above embodiment, the principle of the correspondence relationship between the other two cabinet sensors and the first cabinet sensor is the RSSI technology, that is, the received wireless signals interacted between the other two cabinet sensors and the first cabinet sensor are scanned, the intensity attenuation value of the wireless signals is detected, and the distance information between the other two cabinet sensors and the first cabinet sensor is determined according to the intensity attenuation value of the wireless signals.
Fig. 4 is a flowchart of another alternative temperature monitoring method according to embodiment 1 of the present invention, and as an alternative embodiment of this embodiment, as shown in fig. 4, the monitoring the temperature distribution of the cabinet where the plurality of cabinet sensors are located according to the temperature data and the location information of the plurality of cabinet sensors includes:
step S402, establishing a position-temperature distribution diagram of the cabinet according to the temperature data and the position information of the plurality of cabinet sensors, wherein different identification information is adopted in the position-temperature distribution diagram number of the cabinet to identify different temperature data;
step S404, according to the position-temperature distribution diagram of the cabinet, monitoring the pre-temperature distribution of the cabinet where the plurality of cabinet sensors are located.
In the above embodiment, according to the temperature data and the position information of the plurality of cabinet sensors, monitoring the fault of the detection position of the cabinet where the cabinet sensor is located may be performed in a plurality of manners, and may be performed in a manner of establishing a position-temperature distribution diagram of the cabinet according to the temperature data and the position information of the plurality of cabinet sensors. The position-temperature distribution diagram of the cabinet has the characteristic of strong expressive force.
In the above embodiment, different identification information is used in the number of the position-temperature distribution maps of the cabinet to identify different temperature data, and the temperature data at different positions can be represented according to different colors. For example, the color spectrum from blue to red is divided into N segments, and the range between the minimum value and the maximum value of the temperature data is also divided into N segments and corresponds to the N segments of the color spectrum. The color corresponding to the color spectrum closest to blue may be the color represented by the position-temperature distribution diagram of the cabinet when the temperature data is minimum, that is, the lower the temperature, the closer the detection position is to blue in the position-temperature distribution diagram of the cabinet; conversely, the color corresponding to the color spectrum closest to red is the color represented by the position-temperature distribution diagram of the cabinet when the temperature data is the largest, that is, the detection position with higher temperature is closer to red in the position-temperature distribution diagram of the cabinet.
In the above embodiment, the cloud images of data use different identification information to identify different data, and the density of the pattern may be used to reduce the height of the temperature data, for example, the pattern may be a square grid, and when the pattern of the square grid is used to express the temperature data, the grid may be smaller and denser, the representative temperature data is larger, and the grid is larger and sparser, and the representative temperature data is smaller.
As an alternative embodiment of this embodiment, the temperature data may include a cabinet supply air temperature for supplying air to a predetermined position of the cabinet. The air supply temperature of the cabinet determines the cooling effect of the cabinet, and under the same condition, the lower the air supply temperature of the cabinet is, the better the cooling effect is; the higher the air supply temperature of the cabinet is, the worse the cooling effect is. The temperature data is the cabinet air supply temperature, so that the temperature of the cabinet can be monitored conveniently.
Fig. 5 is a flowchart of another alternative temperature monitoring method according to embodiment 1 of the present invention, and as shown in fig. 5, in the above embodiment, in the case that the temperature data includes a cabinet supply air temperature for supplying air to a predetermined position of the cabinet, monitoring a temperature distribution of the cabinet where the plurality of cabinet sensors are located according to the temperature data and the location information of the plurality of cabinet sensors includes at least one of:
step S502, determining that the air supply temperature of the cabinet is abnormal and sending out an early warning notice of the abnormal air supply temperature of the cabinet under the condition that the air supply temperature of the cabinet exceeds the air supply temperature threshold of the cabinet;
step S504, determining the change rate of the cabinet air supply temperature according to the cabinet air supply temperature change value in the preset time period, determining the remaining time when the cabinet air supply temperature exceeds the cabinet air supply temperature threshold according to the change rate, the cabinet air supply temperature and the cabinet air supply temperature threshold, and sending out an early warning notice carrying the remaining time.
According to the temperature data, when the temperature data comprises the cabinet air supply temperature, the cabinet temperature distribution is monitored according to the cabinet air supply temperature and the position information of the cabinet sensor, multiple forms can be provided, a cabinet air supply temperature threshold value can be set for the cabinet air supply temperature detected by a cabinet sensor, if the cabinet air supply temperature is within the range of the cabinet air supply temperature threshold value, the cabinet air supply temperature is normal, if the cabinet air supply temperature is outside the range of the cabinet air supply temperature threshold value, the cabinet air supply temperature at the position is abnormal, and an early warning notice of the abnormal cabinet air supply temperature is sent.
It should be noted that the change of the cabinet supply air temperature is usually slow, not abrupt, and therefore, there is a time-based continuous temperature raising process before the cabinet supply air temperature exceeds the cabinet supply air temperature threshold. And sometimes, when the air supply temperature of the cabinet is detected to exceed the air supply temperature threshold value of the cabinet, the best time for maintaining the air supply duct of the machine room or checking the air supply duct of the machine room is missed. Therefore, in order to effectively predict and prevent the fault of the air supply duct of the machine room, the change rate of the air supply temperature of the cabinet, the air supply temperature of the cabinet and the air supply temperature threshold of the cabinet can be combined to predict the fault occurrence (namely, the air supply temperature of the cabinet exceeds the threshold), according to the current air supply temperature of the cabinet and the change rate of the air supply temperature of the cabinet, the change condition of the air supply temperature of the cabinet along with the time can be determined, compared with the air supply temperature threshold of the cabinet, the change condition according to the change rate can be determined, the current air supply temperature of the cabinet can exceed the air supply temperature threshold of the cabinet after a long time, namely, the remaining time of the air supply temperature of the cabinet exceeding the air supply temperature threshold of the cabinet is determined, and the warning notice carrying the remaining time.
As an alternative embodiment of this embodiment, the temperature data may include an air conditioner supply air temperature of an air supply outlet of an air conditioner supplying air to the cabinet. Generally, the air supply temperature of the air conditioner is different from that of the cabinet, because the air supply air ducts in the machine room are generally difficult to keep consistent, the air supply temperature of the cabinet is closer to the air supply temperature of the air conditioner from the cabinet of the air supply outlet of the air conditioner, but the air supply temperature of all the cabinets is greater than or equal to the air supply temperature of the air conditioner, so that the air supply temperature of the air conditioner really determines the cooling effect of the cabinet. Under the same condition, the lower the air supply temperature of the air conditioner is, the better the cooling effect is; the higher the air supply temperature of the air conditioner is, the worse the cooling effect is. The temperature data is used for monitoring the temperature of the air supply of the air conditioner, so that the temperature of the cabinet can be monitored conveniently.
In the above embodiment, in a case where a first air conditioner sensor that collects a temperature of air-conditioner supply air is disposed at an air supply outlet of an air conditioner that supplies air to the cabinet, the method further includes at least one of: determining that the air supply temperature of the air conditioner is abnormal and sending out an early warning notice of the abnormal air supply temperature of the air conditioner under the condition that the air supply temperature of the air conditioner exceeds an air supply temperature threshold value of the air conditioner; determining the change rate of the air supply temperature of the air conditioner according to the air supply temperature change value of the air conditioner in a preset time period, determining the remaining time when the air supply temperature of the air conditioner exceeds the air supply temperature threshold of the air conditioner according to the change rate, the air supply temperature of the air conditioner and the air supply temperature threshold of the air conditioner, and sending out an early warning notice carrying the remaining time.
According to the air conditioner air supply temperature, the cooling effect in the whole machine room is determined, when the temperature data comprise the air conditioner air supply temperature, the temperature distribution in the machine room is monitored according to the air conditioner air supply temperature and the position information of the first air conditioner sensor, various forms can be provided, an air conditioner air supply temperature threshold value can be set for the air conditioner air supply temperature detected by the first air conditioner sensor, if the air conditioner air supply temperature is within the range of the air conditioner air supply temperature threshold value, the air conditioner air supply temperature is normal, if the air conditioner air supply temperature is outside the range of the air conditioner air supply temperature threshold value, the air conditioner air supply temperature at the position is abnormal, and an early warning notice of the air conditioner air supply temperature abnormality is sent.
It should be noted that the change in the air conditioner supply air temperature is generally a slow change, not an abrupt change, and therefore, there is a temperature rise that continues for a period of time until the air conditioner supply air temperature exceeds the air conditioner supply air temperature threshold. And sometimes the best opportunity to repair the air conditioner or check for a fault has been missed when it is detected that the air conditioner supply air temperature exceeds the air conditioner supply air temperature threshold. Therefore, in order to effectively predict and prevent the air conditioner fault, the occurrence of the air conditioner fault (namely, the air conditioner air supply temperature exceeds the threshold value) can be predicted by combining the change rate of the air conditioner air supply temperature, the air conditioner air supply temperature and the air conditioner air supply temperature threshold value, the change condition of the air conditioner air supply temperature along with the time can be determined according to the current air conditioner air supply temperature and the change rate of the air conditioner air supply temperature, the change condition according to the change rate can be determined, the current air conditioner air supply temperature can exceed the air conditioner air supply temperature threshold value after a long time, namely, the residual time of the air conditioner air supply temperature exceeding the air conditioner air supply temperature threshold value is determined, and the early warning notice carrying the residual time is sent to perform early warning.
As an alternative to this embodiment, the temperature data may include an air-conditioning return air temperature at a return air inlet of an air conditioner that returns air to the cabinet. Generally, the return air temperature of the air conditioner is that after low-temperature gas is input into a machine room by the air conditioner, the low-temperature gas is changed into high-temperature gas through heat transfer with a cabinet in the machine room, and the high-temperature gas is sent out of the machine room from a return air inlet to take away heat in the machine room. Under the same condition, the lower the return air temperature of the air conditioner is, the less heat is taken away, and the worse the cooling effect is; the higher the return air temperature of the air conditioner is, the more heat is taken away, and the better the cooling effect is. The temperature data is used for monitoring the return air temperature of the air conditioner, so that the temperature of the machine room can be monitored conveniently.
In the above embodiment, in the case where the second air conditioning sensor that collects the air conditioning return air temperature is disposed at the return air inlet for the cabinet return air, the method further includes at least one of: determining that the air-conditioning return air temperature is abnormal and sending out early warning notice of the air-conditioning return air temperature abnormality under the condition that the air-conditioning return air temperature exceeds an air-conditioning return air temperature threshold value; determining the change rate of the air-conditioning return air temperature according to the air-conditioning return air temperature change value in the preset time period, determining the remaining time when the air-conditioning return air temperature exceeds the air-conditioning return air temperature threshold value according to the change rate, the air-conditioning return air temperature and the air-conditioning return air temperature threshold value, and sending an early warning notice carrying the remaining time.
According to the air conditioner return air temperature monitoring system, the air conditioner return air temperature reflects the cooling effect in the whole machine room, when the temperature data comprise the air conditioner return air temperature, the temperature distribution in the machine room is monitored according to the air conditioner return air temperature and the position information of the second air conditioner sensor, various forms can be provided, an air conditioner return air temperature threshold value can be set for the air conditioner return air temperature detected by the second air conditioner sensor, if the air conditioner return air temperature is within the range of the air conditioner return air temperature threshold value, the air conditioner return air temperature is normal, if the air conditioner return air temperature is outside the range of the air conditioner return air temperature threshold value, the air conditioner return air temperature at the position is abnormal, and an early warning notice of the air conditioner return air temperature abnormality is sent.
It should be noted that the change in the return air temperature of the air conditioner is usually slow, not abrupt, and therefore, there is a continuous temperature rise until the return air temperature exceeds the return air temperature threshold. And sometimes the best opportunity to repair the air conditioner or check for a fault has been missed when it is detected that the air conditioner return air temperature exceeds the air conditioner return air temperature threshold. Therefore, in order to effectively predict and prevent the air conditioner fault, the occurrence of the air conditioner fault (namely, the air conditioner return air temperature exceeds the threshold value) can be predicted by combining the change rate of the air conditioner return air temperature, the air conditioner return air temperature and the air conditioner return air temperature threshold value, the change condition of the air conditioner return air temperature along with the time can be determined according to the current air conditioner return air temperature and the change rate of the air conditioner return air temperature, the change condition according to the change rate can be determined, the current air conditioner return air temperature can exceed the air conditioner return air temperature threshold value after a long time, namely, the remaining time of the air conditioner return air temperature exceeding the air conditioner return air temperature threshold value is determined, and the early warning notice carrying the remaining time is sent to perform early warning.
In the above embodiment, the temperature monitoring method further includes: executing at least one of the following processing strategies according to the early warning notice: under the condition that the air supply temperature of the air conditioner is abnormal, determining a first server influenced by the air conditioner, and transferring the service on the influenced first server to other servers or stopping the service on the influenced first server; and under the condition that the air supply temperature of the cabinet is abnormal, determining a second server corresponding to the abnormal cabinet corresponding to the abnormal air supply temperature of the cabinet, and migrating the service on the second server corresponding to the abnormal cabinet to other servers or stopping the service on the second server corresponding to the abnormal cabinet.
After the early warning notice is sent out, the system can also carry out some processing strategies which are beneficial to the follow-up maintenance and inspection work. For example, when an early warning of an air conditioner air supply temperature abnormality is sent, it can be confirmed that an air conditioner fault occurs or is about to occur, once the air conditioner fault occurs, a cabinet in a machine room may also fail, and data loss may occur in a server on the cabinet, so that when the air conditioner air supply temperature abnormality is detected, a first server affected by the air conditioner is determined, a service on the affected first server is migrated to another server, or the service on the affected first server is stopped, and it is ensured that a task on the first server is not affected, and the task is not suspended due to the cabinet fault, so that loss is caused. The air conditioner supply air temperature anomaly is generally caused by a supply air conditioner anomaly.
In the above embodiment, when the warning that the cabinet air supply temperature is abnormal is given, the cabinet in the machine room may also be failed, so that data in the server on the cabinet may be lost, and therefore, the processing strategy may also be to determine a second server corresponding to the abnormal cabinet with the abnormal cabinet air supply temperature, migrate the service on the second server corresponding to the abnormal cabinet to another server, or stop the service on the second server corresponding to the abnormal cabinet. The air supply temperature of the cabinet is abnormal, and if the air supply temperature of the air conditioner is normal, the air supply duct of the machine room is possibly blocked; if the air supply temperature of the air conditioner is abnormal, the abnormal air supply temperature of the air conditioner, namely the abnormal air supply temperature of the air conditioner, is processed preferentially.
In the above embodiment, when sending the unusual early warning of air conditioner return air temperature, if rack supply air temperature is normal, then the return air wind channel that explains the computer lab takes place to block, and air conditioner return air temperature can reflect the interior temperature of computer lab to a certain extent moreover, and the temperature is higher than return air temperature in the computer lab under the normal condition in return air channel in the computer lab.
As an optional embodiment, the cabinet in the temperature monitoring method is a cabinet in a miniaturized private cloud scenario, or a cabinet in an edge computing scenario.
As a preferred implementation manner, an embodiment of the present application further provides a machine room fault diagnosis method, where in the above-mentioned scenario of proprietary cloud or edge computing, a fault easily occurs in a machine room, and temperature monitoring of the machine room is incomplete. Thus, a method for diagnosing a machine room fault is provided, and fig. 6 is a flowchart of a method for diagnosing a machine room fault according to a preferred embodiment of embodiment 1 of the present invention, which is illustrated in fig. 6 and described in detail below.
When the air supply/return temperature of the air conditioner is monitored, a normal threshold value of the air supply/return temperature of the air conditioner is preset. And real-time temperature information acquisition is carried out on the air-conditioning air supply/return inlet to obtain a real-time value of the air-conditioning air supply/return temperature. Comparing the real-time temperature value with the normal threshold value, judging whether the real-time air-conditioning air-sending/returning temperature value exceeds the normal threshold value, and if the real-time air-sending/returning temperature value does not exceed the set normal threshold value, the air-conditioning system works normally; if the real-time value of the air-conditioning air-feeding/returning temperature exceeds the set normal threshold value, the air-conditioning system works abnormally, and needs to communicate the fault condition with the operation and maintenance personnel of the heating and ventilation equipment of the machine room, so that the maintenance is convenient.
When the early warning notice is given, the change rate delta T1 of the real-time temperature of the air conditioner air supply/return air inlet is calculated to be dT1/dT1 according to the real-time temperature information of the air conditioner air supply/return air inlet, wherein T1 is the real-time temperature of the air conditioner air supply/return air inlet, and T1 is the time corresponding to the change of the air conditioner air supply/return air temperature. Predicting a temperature change trend according to the calculated change rate delta T1, calculating the remaining time exceeding the highest allowable value according to the change trend, and making a coping strategy for early warning according to the remaining time, wherein the highest allowable value is the preset highest allowable value of the air inlet of the IT cabinet. In addition, since the air conditioner fault may affect the area server list and the service on the server, after the early warning is performed, the service on the affected server may be migrated to another server, or the service may be suspended after the service is saved.
When the air inlet temperature of the IT cabinet is monitored, the normal threshold value of the air inlet temperature of the IT cabinet is preset. And real-time temperature information acquisition is carried out on the air inlet of the IT cabinet, and the real-time value of the air inlet temperature of the IT cabinet is obtained. Comparing the temperature real-time value with the normal threshold value, judging whether the air inlet temperature real-time value of the IT cabinet exceeds the normal threshold value, and if the air inlet temperature real-time value of the IT cabinet does not exceed the set normal threshold value, ensuring that the air inlet temperature of the IT cabinet is normal; and if the inlet air temperature real-time value of the IT cabinet exceeds the set normal threshold, the temperature of the server is abnormal. And then judging whether the air supply temperature of the air conditioner is abnormal or not, and informing a field inspection worker of the machine room to inspect if the temperature abnormality of the server is not caused by the abnormal air supply temperature of the air conditioner under the condition that the air supply temperature of the air conditioner is normal.
When the early warning notice is given, the change rate delta T2 of the real-time temperature of the air inlet of the IT cabinet is calculated to be dT2/dT2 according to the real-time temperature information of the air inlet of the IT cabinet, wherein T2 is the real-time temperature of the air inlet of the IT cabinet, and T2 is the time corresponding to the change of the air inlet temperature of the IT cabinet. Predicting a temperature change trend according to the calculated change rate delta T2, calculating the remaining time exceeding the highest allowable value according to the change trend, and making a coping strategy for early warning according to the remaining time, wherein the highest allowable value is the preset highest allowable value of the air inlet of the IT cabinet. In addition, since the server abnormality may continuously deteriorate, the first task is to find the location of the rack sensor that detects the failure, and perform a field check, for example, to query the location of the server corresponding to the rack sensor from the location-based management platform according to the temperature and the location. When the fault position is detected, the fault reason is confirmed, and when the fault reason is that the load is too heavy, the load is reduced.
Example 2
There is also provided, in accordance with an embodiment of the present invention, another method embodiment of a method of temperature monitoring, it being noted that the steps illustrated in the flowchart of the figure may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is depicted in the flowchart, in some cases the steps illustrated or described may be performed in an order different than presented herein.
It should be noted that another method embodiment of the temperature monitoring method provided in embodiment 2 of the present application may be executed in the computer terminal 10 (or the mobile device 10) shown in fig. 1 or a similar computing device. Fig. 7 is a flowchart of a temperature monitoring method according to embodiment 2 of the present invention, and as shown in fig. 7, the temperature monitoring method provided in the embodiment of the present application may be implemented by the following method steps:
step S702, a cabinet sensor collects temperature data, wherein the cabinet sensor is deployed at a preset position of a cabinet, and the cabinet sensor and the cabinet sensors deployed on other cabinets support intercommunication.
The cabinet sensor may be a temperature sensor that detects a temperature of a specific position of the cabinet in the machine room, and the temperature sensor outputs parameter information including a temperature of the cabinet at the position. The temperature sensors are arranged at preset positions of the cabinet, and when the cabinet sensor is a temperature sensor, the temperature sensors are directly arranged on parts needing to be monitored, for example, the temperature of a central processing unit of the cabinet is monitored, and the temperature sensors are directly arranged on the central processing unit, so that the temperature of the central processing unit is monitored.
In the above embodiment, when the temperature sensor is an infrared temperature sensor, the infrared temperature sensor may not be disposed on the central processing unit, and the temperature sensor may be disposed at a position of the cabinet housing near the central processing unit, where the infrared temperature sensor may monitor the temperature of the central processing unit.
As an alternative embodiment of this embodiment, the above-mentioned, multiple cabinet sensors support intercommunication. The plurality of cabinet sensors are communicated with each other, and data transmission and interaction can be carried out among the plurality of cabinet sensors.
Step S704, the cabinet sensor is positioned, and the position information of the cabinet sensor is obtained.
The position information of the multiple cabinet sensors refers to actual detection positions of the cabinet sensors in the machine room, and the position information of the cabinet sensors in the physical space of the machine room is used for determining the detection positions of the cabinet sensors. The detection location may be a specific location in the machine room where a fault is likely to occur. For example, the detection position may be on a CPU, a CPU chip of the CPU is prone to generate high temperature, and once the temperature is too high, the CPU chip may affect itself and surrounding components, or even cause its own failure, so that the temperature of the CPU needs to be monitored, and at least one temperature sensor is disposed on the CPU.
In the above embodiment, the positions of the cabinet sensors may also be detection positions that are uniformly arranged, for example, in a circuit line network, since a line has a long length and a large span, when monitoring the temperature of a certain line, a plurality of cabinet sensors are uniformly distributed on the line, the temperatures of a plurality of detection positions on the line can be monitored, and when a fault occurs, the fault occurrence position can be effectively determined.
In the above embodiment, the location information includes the layout positions of the cabinet sensors, and the layout positions of the cabinet sensors in the machine rooms are different due to different types of the cabinet sensors, and the layout rules of the cabinet sensors in the machine rooms of each customer are different, the layout rules of the cabinet sensors in the same machine room of the same customer and arranged at different times may also be different, and there is a possibility that the layout of the cabinet sensors on the cabinet is irregular, which causes a problem that the positions of the cabinet sensors are difficult to determine.
In the above embodiment, to address the above problem, the embodiment first locates the cabinet sensor, and obtains the position information of the cabinet sensor. The above-mentioned position information who obtains the rack sensor can be realized through multiple mode. For example, the cabinet sensor may be located by GPS and the location information of the cabinet sensor may be obtained. Or, the cabinet sensor may be positioned by using a signal strength indicator RSSI technology, and the position information of the cabinet sensor may be acquired.
In the above embodiment, based on the support of intercommunication among the multiple cabinet sensors, when the RSSI technology is implemented specifically, the strength of the wireless signal between the cabinet sensors is detected, so as to automatically calculate the distance between the cabinet sensors in communication with each other, and then according to a self-positioning algorithm, the spatial three-dimensional positioning is automatically performed, so as to determine the location information of the cabinet sensors, where the location information includes the specific location of the space where the cabinet sensors are located and other physical space information. Compare in above-mentioned through GPS to rack sensor location, positioning accuracy is high, and data analysis volume is little, does not receive the influence of good and bad of signal environment. For example, GPS positioning requires a good signal environment to receive GPS signals.
Step S706, the collected temperature data and the position information of the cabinet sensors are sent to a monitoring server, so that the monitoring server can monitor the temperature distribution of the cabinet where the cabinet sensors are located according to the temperature data and the position information sent by the cabinet sensors.
In the above embodiment, the fault of the predetermined detection position of the cabinet where the cabinet sensor is located may be monitored according to the temperature data and the position information of the plurality of cabinet sensors, and may be implemented in various ways. For example, the normal temperature range of a certain detection position can be determined by setting a threshold value for temperature data collected by a cabinet sensor through an arithmetic module (or an arithmetic unit), and the normal temperature range is used as a safety threshold value for the temperature data of the cabinet sensor arranged at the detection position.
In the above embodiment, the monitoring mode may also be that a machine room real-time temperature visual cloud picture is established through software according to the temperature data and the position information of the plurality of cabinet sensors, and the visual cloud picture has the advantages of vivid image and strong expressive force.
In the above embodiment, when the temperature visualization cloud picture is established, the temperature information of the single cabinet sensor and the preset position information of the cabinet sensor may be in one-to-one correspondence, and then the temperature information of the cabinet sensor and the preset position information of the cabinet sensor are subjected to data processing and graphical rendering on the remote cloud platform, so as to form the real-time temperature cloud picture.
In the embodiment of the invention, a mode of arranging a plurality of cabinet sensors on a cabinet of a machine room is adopted, cabinet temperature data detected by the plurality of cabinet sensors is used, position information of the cabinet sensors is determined, the temperature data and the position information are transmitted to a monitoring server, and the monitoring server monitors the temperature by using the temperature data and the positions of the plurality of cabinet sensors, so that the purpose of monitoring the faults of the cabinet according to the temperature data acquired by the plurality of cabinet sensors and the positions of the plurality of cabinet sensors is achieved, the technical effect of effectively monitoring the faults of the machine room and the fault occurrence positions is realized, and the technical problems that the faults of the cabinet cannot be effectively monitored and the fault occurrence positions cannot be effectively monitored in the related technology are solved.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the invention. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required by the invention.
Through the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation mode in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (such as a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
Example 3
According to an embodiment of the present invention, there is further provided an embodiment of a temperature monitoring apparatus for implementing the temperature monitoring method in embodiment 1, and fig. 8 is a schematic structural diagram of a temperature monitoring apparatus according to embodiment 3 of the present invention, as shown in fig. 8, the apparatus includes: a first acquisition module 82, a second acquisition module 84, and a monitoring module 86, the temperature monitoring device of which is described in detail below.
The first acquiring module 82 is configured to acquire temperature data acquired by a plurality of cabinet sensors, where the cabinet sensors are respectively disposed at predetermined positions of a cabinet, and the cabinet sensors support intercommunication; a second obtaining module 84, connected to the first obtaining module 82, configured to position the multiple cabinet sensors and obtain location information of the multiple cabinet sensors; and a monitoring module 86, connected to the second obtaining module 84, for monitoring the temperature distribution of the cabinet where the plurality of cabinet sensors are located according to the temperature data and the position information of the plurality of cabinet sensors.
In the embodiment of the present invention, a manner of setting a plurality of cabinet sensors on the cabinets of the machine room is adopted, temperature data acquired by the plurality of cabinet sensors acquired by the first acquisition module 82 and positions of the plurality of cabinet sensors acquired by the second acquisition module 84 are used, and then the monitoring module 86 performs temperature monitoring according to the above information, so as to achieve a purpose of monitoring faults of the cabinets according to the temperature data acquired by the plurality of cabinet sensors and the positions of the plurality of cabinet sensors, thereby achieving a technical effect of effectively monitoring faults of the machine room and fault occurrence positions, and further solving a technical problem that faults occurring on the cabinets and fault occurrence positions cannot be effectively monitored in the related art.
As an alternative embodiment of this embodiment, the second obtaining module 84 includes: the first determining unit is used for determining the position information of a first cabinet sensor in the plurality of cabinet sensors, wherein the first cabinet sensor is any one of the plurality of cabinet sensors; the second determining unit is used for determining the relative position relationship between the position information of the first cabinet sensor and the position information of the other two cabinet sensors; and the third determining unit is used for determining the position information of the other two cabinet sensors according to the relative position relationship and the position information of the first cabinet sensor.
As an alternative embodiment of this embodiment, the monitoring module 86 includes: the system comprises an establishing unit, a processing unit and a control unit, wherein the establishing unit is used for establishing a position-temperature distribution diagram of the cabinet according to the temperature data and the position information of a plurality of cabinet sensors, wherein different identification information is adopted in the position-temperature distribution diagram of the cabinet to identify different temperature data; and the monitoring unit is used for monitoring the temperature distribution of the cabinet where the plurality of cabinet sensors are located according to the position-temperature distribution diagram of the cabinet.
It should be noted that the first obtaining module 82, the second obtaining module 84 and the monitoring module 86 correspond to steps S202 to S206 in embodiment 1, and the two modules are the same as the corresponding steps in the implementation example and the application scenario, but are not limited to the disclosure in embodiment 1. It should be noted that the above modules may be operated in the computer terminal 10 provided in embodiment 1 as a part of the apparatus.
Example 4
According to an embodiment of the present invention, there is further provided an embodiment of a temperature monitoring apparatus for implementing the temperature monitoring method in embodiment 2, and fig. 9 is a schematic structural diagram of a temperature monitoring apparatus according to embodiment 4 of the present invention, as shown in fig. 9, the apparatus includes: an acquisition module 92, a positioning module 94, and a transmission module 96, which are described in detail below.
The acquisition module 92 is used for acquiring temperature data by using a cabinet sensor, wherein the cabinet sensor is arranged at a preset position of a cabinet, and the cabinet sensor and the cabinet sensors arranged on other cabinets are communicated with each other; a positioning module 94 connected to the collecting module 92, for positioning the cabinet sensor to obtain the position information of the cabinet sensor; and a sending module 96, connected to the positioning module 94, configured to send the collected temperature data and the location information of the cabinet sensors to the monitoring server, so that the monitoring server monitors the temperature distribution of the cabinet where the plurality of cabinet sensors are located according to the temperature data and the location information sent by the plurality of cabinet sensors.
In the embodiment of the present invention, by arranging a plurality of cabinet sensors on the cabinets of the machine room, the plurality of cabinet sensors collect the temperature data of the cabinets through the collection module 92, and determine the position information of the cabinet sensors through the positioning module 94, then the temperature data and the position information are transmitted to a monitoring server through a sending module 96, the monitoring server monitors the temperature by utilizing the temperature data and the positions of the plurality of cabinet sensors, the purpose of monitoring the faults of the cabinet according to the temperature data collected by the plurality of cabinet sensors and the positions of the plurality of cabinet sensors is achieved, thereby realizing the technical effect of effectively monitoring the faults of the machine room and the fault occurrence positions, and then the technical problem that the faults of the cabinet and the fault positions cannot be effectively monitored in the related technology is solved.
It should be noted here that the above-mentioned acquisition module 92, positioning module 94 and sending module 96 correspond to steps S702 to S706 in embodiment 2, and the two modules are the same as the corresponding steps in the implementation example and application scenario, but are not limited to the disclosure in embodiment 1. It should be noted that the above modules may be operated in the computer terminal 10 provided in embodiment 1 as a part of the apparatus.
Example 5
The embodiment of the invention can provide a computer terminal which can be any computer terminal device in a computer terminal group. Optionally, in this embodiment, the computer terminal may also be replaced with a terminal device such as a mobile terminal.
Optionally, in this embodiment, the computer terminal may be located in at least one network device of a plurality of network devices of a computer network.
In this embodiment, the computer terminal may execute the program code of the following steps in the vulnerability detection method of the application program: acquiring temperature data acquired by a plurality of cabinet sensors, wherein the cabinet sensors are respectively arranged at preset positions of a cabinet, and the cabinet sensors are communicated with each other; positioning a plurality of cabinet sensors for acquiring data to acquire position information of the plurality of cabinet sensors; and monitoring the temperature distribution of the cabinet where the plurality of cabinet sensors are located according to the temperature data and the position information of the plurality of cabinet sensors.
Alternatively, fig. 10 is a block diagram of a computer terminal according to embodiment 5 of the present invention. As shown in fig. 10, the computer terminal 100 may include: one or more processors 1002 (only one of which is shown), memory 1004, and peripheral interfaces 1006.
The memory may be used to store software programs and modules, such as program instructions/modules corresponding to the security vulnerability detection method and apparatus in the embodiments of the present invention, and the processor executes various functional applications and data processing by operating the software programs and modules stored in the memory, that is, the above-mentioned method for detecting a system vulnerability attack is implemented. The memory may include high speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory may further include memory located remotely from the processor, which may be connected to the terminal 100 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The processor can call the information and application program stored in the memory through the transmission device to execute the following steps: acquiring temperature data acquired by a plurality of cabinet sensors, wherein the cabinet sensors are respectively arranged at preset positions of a cabinet, and the cabinet sensors are communicated with each other; positioning a plurality of cabinet sensors for acquiring data to acquire position information of the plurality of cabinet sensors; and monitoring the temperature distribution of the cabinet where the plurality of cabinet sensors are located according to the temperature data and the position information of the plurality of cabinet sensors.
Optionally, the processor may further execute the program code of the following steps: locate a plurality of rack sensors, acquire the positional information of a plurality of rack sensors and include: determining position information of a first cabinet sensor in the plurality of cabinet sensors, wherein the first cabinet sensor is any one of the plurality of cabinet sensors; determining the relative position relationship between the position information of the first cabinet sensor and the position information of the other two cabinet sensors; and determining the position information of the other two cabinet sensors according to the relative position relationship and the position information of the first cabinet sensor.
Optionally, the processor may further execute the program code of the following steps: according to temperature data, and the positional information of a plurality of rack sensors, the temperature distribution to the rack of a plurality of rack sensors place is monitored and is included: establishing a position-temperature distribution diagram of the cabinet according to the temperature data and the position information of the plurality of cabinet sensors, wherein different temperature data are identified by adopting different identification information in the position-temperature distribution diagram number of the cabinet; and monitoring the temperature distribution of the cabinet where the plurality of cabinet sensors are located according to the position-temperature distribution diagram of the cabinet.
Optionally, the processor may further execute the program code of the following steps: under the condition that the temperature data comprises the cabinet air supply temperature for supplying air to the preset position of the cabinet, according to the temperature data and the position information of the plurality of cabinet sensors, the temperature distribution of the cabinet where the plurality of cabinet sensors are located is monitored by at least one of the following steps: determining that the air supply temperature of the cabinet is abnormal and sending out an early warning notice of the abnormal air supply temperature of the cabinet under the condition that the air supply temperature of the cabinet exceeds the air supply temperature threshold value of the cabinet; determining the change rate of the cabinet air supply temperature according to the cabinet air supply temperature change value in the preset time period, determining the remaining time when the cabinet air supply temperature exceeds the cabinet air supply temperature threshold according to the change rate, the cabinet air supply temperature and the cabinet air supply temperature threshold, and sending out an early warning notice carrying the remaining time.
Optionally, the processor may further execute the program code of the following steps: in the case that a first air conditioner sensor for collecting the air supply temperature of the air conditioner is arranged at an air supply outlet of the air conditioner for supplying air to the cabinet, the method further comprises at least one of the following steps: determining that the air supply temperature of the air conditioner is abnormal and sending out an early warning notice of the abnormal air supply temperature of the air conditioner under the condition that the air supply temperature of the air conditioner exceeds an air supply temperature threshold value of the air conditioner; determining the change rate of the air supply temperature of the air conditioner according to the air supply temperature change value of the air conditioner in a preset time period, determining the remaining time when the air supply temperature of the air conditioner exceeds the air supply temperature threshold of the air conditioner according to the change rate, the air supply temperature of the air conditioner and the air supply temperature threshold of the air conditioner, and sending out an early warning notice carrying the remaining time.
Optionally, the processor may further execute the program code of the following steps: under the condition that a second air conditioner sensor for collecting the return air temperature of the air conditioner is deployed at the return air inlet of the air conditioner for supplying air to the cabinet, the method further comprises at least one of the following steps: determining that the air-conditioning return air temperature is abnormal and sending out early warning notice of the air-conditioning return air temperature abnormality under the condition that the air-conditioning return air temperature exceeds an air-conditioning return air temperature threshold value; determining the change rate of the air-conditioning return air temperature according to the air-conditioning return air temperature change value in the preset time period, determining the remaining time when the air-conditioning return air temperature exceeds the air-conditioning return air temperature threshold value according to the change rate, the air-conditioning return air temperature and the air-conditioning return air temperature threshold value, and sending an early warning notice carrying the remaining time.
Optionally, the processor may further execute the program code of the following steps: the method further comprises the following steps: executing at least one of the following processing strategies according to the early warning notice: under the condition that the air supply temperature of the air conditioner is abnormal, determining a first server influenced by the air conditioner, and transferring the service on the influenced first server to other servers or stopping the service on the influenced first server; and under the condition that the air supply temperature of the cabinet is abnormal, determining a second server corresponding to the abnormal cabinet corresponding to the abnormal air supply temperature of the cabinet, and migrating the service on the second server corresponding to the abnormal cabinet to other servers or stopping the service on the second server corresponding to the abnormal cabinet.
Optionally, the processor may further execute the program code of the following steps: the cabinet is a cabinet in a miniaturized private cloud scene or a cabinet in an edge computing scene.
The embodiment of the invention provides a scheme of a fault detection method. The mode that sets up a plurality of rack sensors on the rack of computer lab is adopted, through the temperature data to a plurality of rack sensor collection, and the position at a plurality of rack sensor places, carry out temperature monitoring, reached the purpose of monitoring the trouble of rack according to the temperature data of a plurality of rack sensor collection and the position of a plurality of rack sensor, thereby realized effectively monitoring computer lab trouble and trouble position's technological effect, and then solved the trouble that can't take place to the rack among the correlation technique, and the trouble position carries out the technical problem of effective monitoring.
Optionally, the processor may further execute the program code of the following steps: the cabinet sensor collects temperature data, wherein the cabinet sensor is arranged on a preset position of the cabinet, and the cabinet sensor and the cabinet sensors arranged on other cabinets support intercommunication; positioning the cabinet sensor to acquire position information of the cabinet sensor; and sending the collected temperature data and the position information of the cabinet sensors to a monitoring server so that the monitoring server can monitor the temperature distribution of the cabinet where the cabinet sensors are located according to the temperature data and the position information sent by the cabinet sensors.
It can be understood by those skilled in the art that the structure shown in fig. 10 is only an illustration, and the computer terminal may also be a terminal device such as a smart phone (e.g., an Android phone, an iOS phone, etc.), a tablet computer, a palmtop computer, a Mobile Internet Device (MID), a PAD, and the like. Fig. 10 is a diagram illustrating a structure of the electronic device. For example, the computer terminal 100 may also include more or fewer components (e.g., network interfaces, display devices, etc.) than shown in FIG. 10, or have a different configuration than shown in FIG. 10.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by a program instructing hardware associated with the terminal device, where the program may be stored in a computer-readable storage medium, and the storage medium may include: flash disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.
Example 6
The embodiment of the invention also provides a storage medium. Optionally, in this embodiment, the storage medium may be configured to store a program code executed by the obstacle monitoring method provided in embodiment 1.
Optionally, in this embodiment, the storage medium may be located in any one of computer terminals in a computer terminal group in a computer network, or in any one of mobile terminals in a mobile terminal group.
Optionally, in this embodiment, the storage medium is configured to store program code for performing the following steps: acquiring temperature data acquired by a plurality of cabinet sensors, wherein the cabinet sensors are respectively arranged at preset positions of a cabinet, and the cabinet sensors are communicated with each other; positioning a plurality of cabinet sensors for acquiring data to acquire position information of the plurality of cabinet sensors; and monitoring the temperature distribution of the cabinet where the plurality of cabinet sensors are located according to the temperature data and the position information of the plurality of cabinet sensors.
Optionally, in this embodiment, the storage medium is configured to store program code for performing the following steps: locate a plurality of rack sensors, acquire the positional information of a plurality of rack sensors and include: determining position information of a first cabinet sensor in the plurality of cabinet sensors, wherein the first cabinet sensor is any one of the plurality of cabinet sensors; determining the relative position relationship between the position information of the first cabinet sensor and the position information of the other two cabinet sensors; and determining the position information of the other two cabinet sensors according to the relative position relationship and the position information of the first cabinet sensor.
Optionally, in this embodiment, the storage medium is configured to store program code for performing the following steps: according to temperature data, and the positional information of a plurality of rack sensors, the temperature distribution to the rack of a plurality of rack sensors place is monitored and is included: establishing a position-temperature distribution diagram of the cabinet according to the temperature data and the position information of the plurality of cabinet sensors, wherein different temperature data are identified by adopting different identification information in the position-temperature distribution diagram number of the cabinet; and monitoring the temperature distribution of the cabinet where the plurality of cabinet sensors are located according to the position-temperature distribution diagram of the cabinet.
Optionally, in this embodiment, the storage medium is configured to store program code for performing the following steps: under the condition that the temperature data comprises the cabinet air supply temperature for supplying air to the preset position of the cabinet, according to the temperature data and the position information of the plurality of cabinet sensors, the temperature distribution of the cabinet where the plurality of cabinet sensors are located is monitored by at least one of the following steps: determining that the air supply temperature of the cabinet is abnormal and sending out an early warning notice of the abnormal air supply temperature of the cabinet under the condition that the air supply temperature of the cabinet exceeds the air supply temperature threshold value of the cabinet; determining the change rate of the cabinet air supply temperature according to the cabinet air supply temperature change value in the preset time period, determining the remaining time when the cabinet air supply temperature exceeds the cabinet air supply temperature threshold according to the change rate, the cabinet air supply temperature and the cabinet air supply temperature threshold, and sending out an early warning notice carrying the remaining time.
Optionally, in this embodiment, the storage medium is configured to store program code for performing the following steps: in the case that a first air conditioner sensor for collecting the air supply temperature of the air conditioner is arranged at an air supply outlet of the air conditioner for supplying air to the cabinet, the method further comprises at least one of the following steps: determining that the air supply temperature of the air conditioner is abnormal and sending out an early warning notice of the abnormal air supply temperature of the air conditioner under the condition that the air supply temperature of the air conditioner exceeds an air supply temperature threshold value of the air conditioner; determining the change rate of the air supply temperature of the air conditioner according to the air supply temperature change value of the air conditioner in a preset time period, determining the remaining time when the air supply temperature of the air conditioner exceeds the air supply temperature threshold of the air conditioner according to the change rate, the air supply temperature of the air conditioner and the air supply temperature threshold of the air conditioner, and sending out an early warning notice carrying the remaining time.
Optionally, in this embodiment, the storage medium is configured to store program code for performing the following steps: under the condition that a second air conditioner sensor for collecting the return air temperature of the air conditioner is deployed at the return air inlet of the air conditioner for supplying air to the cabinet, the method further comprises at least one of the following steps: determining that the air-conditioning return air temperature is abnormal and sending out early warning notice of the air-conditioning return air temperature abnormality under the condition that the air-conditioning return air temperature exceeds an air-conditioning return air temperature threshold value; determining the change rate of the air-conditioning return air temperature according to the air-conditioning return air temperature change value in the preset time period, determining the remaining time when the air-conditioning return air temperature exceeds the air-conditioning return air temperature threshold value according to the change rate, the air-conditioning return air temperature and the air-conditioning return air temperature threshold value, and sending an early warning notice carrying the remaining time.
Optionally, in this embodiment, the storage medium is configured to store program code for performing the following steps: the method further comprises the following steps: executing at least one of the following processing strategies according to the early warning notice: under the condition that the air supply temperature of the air conditioner is abnormal, determining a first server influenced by the air conditioner, and transferring the service on the influenced first server to other servers or stopping the service on the influenced first server; and under the condition that the air supply temperature of the cabinet is abnormal, determining a second server corresponding to the abnormal cabinet corresponding to the abnormal air supply temperature of the cabinet, and migrating the service on the second server corresponding to the abnormal cabinet to other servers or stopping the service on the second server corresponding to the abnormal cabinet.
Optionally, in this embodiment, the storage medium is configured to store program code for performing the following steps: the cabinet is a cabinet in a miniaturized private cloud scene or a cabinet in an edge computing scene.
Optionally, in this embodiment, the storage medium is configured to store program code for performing the following steps: the cabinet sensor collects temperature data, wherein the cabinet sensor is arranged on a preset position of the cabinet, and the cabinet sensor and the cabinet sensors arranged on other cabinets support intercommunication; positioning the cabinet sensor to acquire position information of the cabinet sensor; and sending the collected temperature data and the position information of the cabinet sensors to a monitoring server so that the monitoring server can monitor the temperature distribution of the cabinet where the cabinet sensors are located according to the temperature data and the position information sent by the cabinet sensors.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be 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 an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical 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 can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (12)
1. A method of temperature monitoring, comprising:
the method comprises the steps of obtaining temperature data collected by a plurality of cabinet sensors, wherein the cabinet sensors are respectively arranged at preset positions of a cabinet, and the cabinet sensors are communicated with each other;
positioning the cabinet sensors to obtain position information of the cabinet sensors;
and monitoring the temperature distribution of the cabinet where the plurality of cabinet sensors are located according to the temperature data and the position information of the plurality of cabinet sensors.
2. The method of claim 1, wherein locating the plurality of cabinet sensors, obtaining location information for the plurality of cabinet sensors comprises:
determining location information of a first cabinet sensor of the plurality of cabinet sensors, wherein the first cabinet sensor is any one of the plurality of cabinet sensors;
determining the relative position relationship between the position information of the first cabinet sensor and the position information of the other two cabinet sensors;
and determining the position information of the other two cabinet sensors according to the relative position relationship and the position information of the first cabinet sensor.
3. The method of claim 2, wherein monitoring the temperature distribution of the cabinet in which the plurality of cabinet sensors are located according to the temperature data and the location information of the plurality of cabinet sensors comprises:
establishing a position-temperature distribution diagram of the cabinet according to the temperature data and the position information of the plurality of cabinet sensors, wherein different temperature data are identified by adopting different identification information in the position-temperature distribution diagram of the cabinet;
and monitoring the temperature distribution of the cabinet where the plurality of cabinet sensors are located according to the position-temperature distribution diagram of the cabinet.
4. The method of claim 1, wherein in the event that the temperature data includes a cabinet supply air temperature to supply air to a predetermined location of the cabinet, monitoring a temperature distribution of the cabinet in which the plurality of cabinet sensors are located based on the temperature data and the location information of the plurality of cabinet sensors comprises at least one of:
determining that the air supply temperature of the cabinet is abnormal and sending out an early warning notice of the abnormal air supply temperature of the cabinet under the condition that the air supply temperature of the cabinet exceeds the air supply temperature threshold value of the cabinet;
determining the change rate of the cabinet air supply temperature according to the cabinet air supply temperature change value in a preset time period, determining the remaining time when the cabinet air supply temperature exceeds the cabinet air supply temperature threshold according to the change rate, the cabinet air supply temperature and the cabinet air supply temperature threshold, and sending out an early warning notice carrying the remaining time.
5. The method of claim 1, wherein, in the event that an air conditioner supply outlet of an air conditioner supplying air to the cabinet is deployed with a first air conditioner sensor that collects a temperature of the air conditioner supply air, the method further comprises at least one of:
determining that the air supply temperature of the air conditioner is abnormal and sending out early warning notice of the abnormal air supply temperature of the air conditioner under the condition that the air supply temperature of the air conditioner exceeds an air supply temperature threshold value of the air conditioner;
determining the change rate of the air supply temperature of the air conditioner according to the air supply temperature change value of the air conditioner in a preset time period, determining the residual time when the air supply temperature of the air conditioner exceeds the air supply temperature threshold of the air conditioner according to the change rate, the air supply temperature of the air conditioner and the air supply temperature threshold of the air conditioner, and sending out an early warning notice carrying the residual time.
6. The method of claim 1, wherein in the case of a second air conditioning sensor deployed at a return air inlet of an air conditioner supplying air to the cabinet that collects the air conditioning return air temperature, the method further comprises at least one of:
under the condition that the air-conditioning return air temperature exceeds an air-conditioning return air temperature threshold value, determining that the air-conditioning return air temperature is abnormal, and sending an early warning notice of the air-conditioning return air temperature abnormality;
determining the change rate of the air-conditioning return air temperature according to the change value of the air-conditioning return air temperature in a preset time period, determining the remaining time of the air-conditioning return air temperature exceeding the air-conditioning return air temperature threshold according to the change rate, the air-conditioning return air temperature and the air-conditioning return air temperature threshold, and sending out an early warning notice carrying the remaining time.
7. The method of any of claims 4 to 6, wherein the method further comprises: executing at least one of the following processing strategies according to the early warning notice:
under the condition that the air supply temperature of the air conditioner is abnormal, determining an affected first server, and transferring the service on the affected first server to other servers or stopping the service on the affected first server;
and under the condition that the air supply temperature of the cabinet is abnormal, determining a second server corresponding to the abnormal cabinet corresponding to the abnormal air supply temperature of the cabinet, and migrating the service on the second server corresponding to the abnormal cabinet to other servers or stopping the service on the second server corresponding to the abnormal cabinet.
8. The method of any of claims 1-6, wherein the enclosure is an enclosure in a miniaturized private cloud scenario or an enclosure in an edge computing scenario.
9. A method of temperature monitoring, comprising:
the cabinet sensor collects temperature data, wherein the cabinet sensor is arranged on a preset position of a cabinet, and the cabinet sensor and the cabinet sensors arranged on other cabinets support intercommunication;
positioning the cabinet sensor to acquire position information of the cabinet sensor;
and sending the collected temperature data and the position information of the cabinet sensors to a monitoring server so that the monitoring server can monitor the temperature distribution of the cabinet where the cabinet sensors are located according to the temperature data and the position information sent by the cabinet sensors.
10. A temperature monitoring device comprising:
the system comprises a first acquisition module, a second acquisition module and a control module, wherein the first acquisition module is used for acquiring temperature data acquired by a plurality of cabinet sensors, the cabinet sensors are respectively arranged at preset positions of a cabinet, and the cabinet sensors are communicated with each other;
the second acquisition module is used for positioning the plurality of cabinet sensors and acquiring the position information of the plurality of cabinet sensors;
and the monitoring module is used for monitoring the temperature distribution of the cabinet where the plurality of cabinet sensors are located according to the temperature data and the position information of the plurality of cabinet sensors.
11. A storage medium comprising a stored program, wherein the program, when executed, controls an apparatus in which the storage medium is located to perform the temperature monitoring method of any one of claims 1 to 9.
12. A temperature monitoring system comprising: a monitoring server and a cabinet, and a cabinet sensor deployed on the cabinet, wherein the cabinet sensor sends temperature data and location information to the monitoring server according to the method of claim 9, and the monitoring server monitors the temperature distribution of the cabinet where the plurality of cabinet sensors are located according to the method of any one of claims 1 to 8.
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| CN114615160A (en) * | 2022-03-11 | 2022-06-10 | 以萨技术股份有限公司 | Real-time display and early warning method and system for monitoring state of machine room server |
| CN115541054A (en) * | 2022-09-29 | 2022-12-30 | 浪潮商用机器有限公司 | A cabinet temperature alarm method, device, equipment, and storage medium |
| CN115903945A (en) * | 2022-10-18 | 2023-04-04 | 中国人民解放军军事科学院军事科学信息研究中心 | Air conditioner control system, control method, control device and storage medium for machine room |
| CN115903945B (en) * | 2022-10-18 | 2023-12-01 | 中国人民解放军军事科学院军事科学信息研究中心 | Air conditioner control system, control method, control device and storage medium of machine room |
| CN116448260A (en) * | 2023-04-28 | 2023-07-18 | 惠达卫浴股份有限公司 | A temperature display system and low power consumption method |
| CN116400764A (en) * | 2023-05-29 | 2023-07-07 | 中国雄安集团数字城市科技有限公司 | Control method and device for machine room environment |
| CN116400764B (en) * | 2023-05-29 | 2023-10-27 | 中国雄安集团数字城市科技有限公司 | Control method and device for machine room environment |
| CN116610482A (en) * | 2023-07-18 | 2023-08-18 | 山东理工大学 | A method for intelligent monitoring of electrical equipment operating status |
| CN116610482B (en) * | 2023-07-18 | 2023-10-17 | 山东理工大学 | Intelligent monitoring method for operation state of electrical equipment |
| CN116872685A (en) * | 2023-09-05 | 2023-10-13 | 徐州徐工挖掘机械有限公司 | Remote diagnosis method, system, platform and storage medium for vehicle air conditioning system |
| CN116872685B (en) * | 2023-09-05 | 2023-11-21 | 徐州徐工挖掘机械有限公司 | Remote diagnosis method, system, platform and storage medium for vehicle air conditioning system |
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