CN116071901B - Multi-element monitoring and early warning method, equipment and medium for machine room environment - Google Patents
Multi-element monitoring and early warning method, equipment and medium for machine room environment Download PDFInfo
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Abstract
The invention discloses a multi-component monitoring and early warning method, equipment and medium for a machine room environment, belongs to the technical field of data monitoring, and is used for solving the technical problems that the machine room environment and the self fault condition of computer equipment are difficult to monitor in real time, the current machine room environment monitoring robot is high in cost, the early warning efficiency for monitoring various machine room environments is difficult to effectively improve, and the running safety and stability of the computer equipment are reduced. The method comprises the following steps: acquiring environmental information in a machine room in real time to obtain the environmental information of the machine room; based on abnormal environment information in the machine room environment information, detecting own hardware of computer equipment in the machine room to obtain own hardware information; acquiring device image information of computer devices corresponding to the hardware information of the devices; and carrying out anomaly detection on the machine room running environment according to the machine room environment information and the equipment image information to obtain an environment monitoring result.
Description
Technical Field
The invention relates to the field of data monitoring, in particular to a multi-element monitoring and early warning method, equipment and medium for a machine room environment.
Background
The equipment in the existing machine room mainly comprises a server, a memory, a switch and the like, in order to ensure the normal operation of the equipment in the machine room, the operation environment of various equipment must reach the regulations, and if the operation environment index of the normal operation is not reached or exceeded, the service life of each equipment in the machine room is shortened, the operation reliability is reduced and the like. Therefore, the actual condition of the environment in the machine room will determine whether each device in the machine room can safely and reliably operate. The factors influencing the working environment of the machine room comprise elements such as temperature, water resistance, fire resistance, static resistance, humidity, cleanliness and the like, and the influence of the environment condition of the machine room on the equipment is very important besides ensuring the requirements of software and hardware of the equipment.
Most of the existing machine room environment monitoring is an intelligent detection robot, abnormal conditions in the machine room environment are found in time by utilizing inspection of the robot in the machine room, the cost is high, and the robot is difficult to normally operate in the machine room with narrow space. Meanwhile, the abnormal condition of each device in the machine room is difficult to realize rapid monitoring, so that workers cannot monitor the whole running environment of the machine room in real time easily, the early warning efficiency of the environment monitoring of the machine room is difficult to be effectively improved, and the running safety and stability of each computer device in the machine room are difficult to be ensured.
Disclosure of Invention
The embodiment of the invention provides a multi-component monitoring and early warning method, equipment and medium for a machine room environment, which are used for solving the following technical problems: the staff is difficult to carry out real-time supervision to computer lab environment and computer equipment's self fault condition, and present computer lab environment monitoring robot is with high costs, is difficult to effectual improvement to the early warning efficiency of various computer lab environment monitoring, has reduced the security and the stability of computer equipment operation.
The embodiment of the invention adopts the following technical scheme:
in one aspect, an embodiment of the present invention provides a multi-component monitoring and early warning method for a machine room environment, including: acquiring environmental information in a machine room in real time through a sensor to obtain the environmental information of the machine room; wherein, the computer lab environmental information includes at least: temperature, humidity and cleanliness; based on the abnormal environmental information in the machine room environmental information, detecting the hardware of the computer equipment in the machine room to obtain the hardware information of the computer equipment; acquiring equipment image information of computer equipment corresponding to the self hardware information through a preset cradle head camera; performing anomaly detection on the machine room operation environment according to the machine room environment information and the equipment image information to obtain an environment monitoring result; and sending the environment monitoring result to the mobile terminal in real time through a preset equipment room environment monitoring platform so as to display the environment monitoring result on screen.
According to the embodiment of the invention, through indoor environment monitoring of the machine room environment and abnormal monitoring of a plurality of computer devices in the machine room, multi-azimuth monitoring of the machine room environment is formed, and according to the acquired machine room environment information and device image information, a multi-level environment monitoring result is generated based on a preset time stamp and then is sent to a rear-end staff, so that the staff can master the actual environment information of the machine room quickly and in real time, and corresponding processing means can be made. The intelligent computer room monitoring system is beneficial to the real-time monitoring of the working personnel on the environment of the computer room and the self fault condition of the computer equipment, and the acquisition of environmental data can be realized in an omnibearing way and with small occupied area through the distributed installation of the multiple sensors, so that the cost for monitoring the environment of the computer room is reduced, the early warning efficiency for monitoring the environment of various computer rooms is effectively improved, and the running safety and stability of the computer equipment are enhanced.
In a possible implementation manner, environmental information in a machine room is obtained in real time through a sensor, so as to obtain the machine room environmental information, which specifically includes: real-time data monitoring is carried out on the indoor environment of the machine room through a plurality of temperature sensors and a plurality of humidity sensors in a preset area in the machine room, so that temperature environment information and humidity environment information based on a first time stamp are respectively obtained; detecting the concentration of dust contained in air in the indoor environment of the machine room by a plurality of air detection sensors preinstalled at the top end of the machine room to obtain cleanliness information based on the first timestamp; data packaging processing is carried out on the temperature environment information, the humidity environment information and the cleanliness information through an RS485 interface of an IIC bus and a communication protocol, so that machine room environment information based on the first timestamp is obtained; the IIC bus is connected with the temperature sensor, the humidity sensor and the air detection sensor and used for reading various data acquired in the sensor.
In a feasible implementation mode, ground water leakage detection is carried out on the indoor environment of the machine room through a plurality of water immersion sensors preset on the ground, so that water leakage warning information is obtained; noise detection is carried out on the indoor environment of the machine room through a preset noise sensor, so that noise decibel information is obtained; the method comprises the steps that through a harmful gas detection sensor preinstalled at the top end of a machine room, gas components of gas released by a standby battery pack in the indoor environment of the machine room are detected, and gas component information is obtained; based on the first timestamp, carrying out data packaging processing on the water leakage warning information, the noise decibel information and the gas component information to obtain additional machine room environment information; and performing auxiliary association on the additional machine room environment information and the machine room environment information based on the first timestamp through a communication protocol in the IIC bus to determine static machine room environment information in the indoor environment of the machine room.
According to the embodiment of the invention, the temperature, the humidity, the cleanliness, the ground water leakage, the noise decibels, the harmful gases and the like in the machine room environment are uniformly detected through the multi-medium sensor, so that the abnormal state of the indoor environment of the machine room can be found in time, and the influence of the indoor environment factors on running computer equipment is prevented.
In a possible implementation manner, before detecting the self hardware of the computer device in the machine room based on the abnormal environmental information in the machine room environmental information to obtain the self hardware information of the computer device, the method further includes: judging an information threshold value of the machine room environment information; the static machine room environment information comprises the machine room environment information and the associated additional machine room environment information; if the temperature environment information in the machine room environment information exceeds a preset temperature interval, or the humidity environment information exceeds a preset humidity interval, or the cleanliness information exceeds a preset dust particle number interval, determining the machine room environment information as first abnormal environment information; otherwise, the machine room environment information is determined to be first normal environment information; if the machine room environment information is determined to be the first normal environment information, judging an information threshold value of the additional machine room environment information; if the noise decibel information in the additional machine room environment information exceeds a preset decibel interval, or the gas component information contains harmful gas, or the water leakage warning information is identified, determining the additional machine room environment information as second abnormal environment information; otherwise, the additional machine room environment information is determined to be second normal environment information; if the machine room environment information is determined to be first normal environment information and the additional machine room environment information is second normal environment information, determining the static machine room environment information to be normal environment information; otherwise, the static machine room environment information is abnormal environment information.
In a possible implementation manner, based on abnormal environmental information in the machine room environmental information, detecting self hardware of computer equipment in the machine room to obtain self hardware information of the computer equipment, which specifically includes: if the abnormal environment information is identified, carrying out infrared thermal scanning and photographing on a plurality of computer equipment in the machine room through a preset infrared camera to obtain a thermal imaging diagram; the infrared camera and the cradle head camera are integrally installed; traversing the thermal imaging diagram through a preset rectangular sampling window; carrying out window recognition on an abnormal temperature region in the thermal imaging diagram to obtain temperature information and infrared position coordinates of the abnormal temperature region; shooting and obtaining a physical image of a plurality of computer devices in the machine room through the cradle head camera; based on an image coordinate system, carrying out position labeling on a plurality of computers in the physical image to obtain actual position coordinates of the plurality of computers; performing mutual matching processing on the infrared position coordinates and the actual position coordinates to obtain abnormal computer equipment coordinates; and carrying out data packaging on the temperature information of the abnormal temperature region and the coordinates of the abnormal computer equipment to generate self hardware information of the computer equipment with related temperature abnormality.
In a possible implementation manner, the acquiring, by the preset pan-tilt camera, the device image information of the computer device corresponding to the self hardware information specifically includes: according to the abnormal computer equipment coordinates in the hardware information, controlling the rotation of the tripod head camera so as to enable the center point coordinates of the lens in the tripod head camera and the abnormal computer equipment coordinates to coincide with each other; based on a first timestamp, acquiring the frame number of a video stream of abnormal computer equipment through a rotated cradle head camera, and obtaining a plurality of video frames of the abnormal computer equipment; extracting key frames in the video frames, and determining the key frames as equipment image information; and packaging the equipment image information and the temperature information in the hardware information of the equipment through a communication protocol in the IIC bus so as to determine the dynamic machine room environment information in the indoor environment of the machine room.
In a possible implementation manner, extracting a key frame in the video frames, and determining the key frame as device image information specifically includes: carrying out gray scale normalization processing on the video frames to obtain a plurality of continuous gray scale video frame images; according to the gradual change continuous frame characteristics, coding the continuous gray video frame images to obtain coded continuous gray video frame images; based on the brightness change gradient of the video image, performing feature comparison on the coded continuous gray video frame image and a preset reference frame image, and determining the coded gray video frames meeting a feature comparison threshold as key frames in the video frames; and determining the real-time state image of the computer equipment in the key frame as the equipment image information.
In a possible implementation manner, according to the machine room environment information and the equipment image information, abnormality detection is performed on the machine room operation environment to obtain an environment monitoring result, which specifically includes: based on a first timestamp, acquiring static environment information corresponding to the machine room environment information and dynamic environment information corresponding to the equipment image information, and determining the static environment information and the dynamic environment information as first detection information; based on a second time stamp, acquiring static environment information and dynamic environment information corresponding to the second time stamp, and determining the static environment information and the dynamic environment information as second detection information; performing anomaly detection on the machine room operation environment according to the information similarity between the first detection information and the second detection information to obtain the environment monitoring result; wherein, the environmental monitoring result includes: low-risk environment early warning information, medium-risk environment early warning information and high-risk environment early warning information.
According to the embodiment of the invention, the data similarity of the two detection information under different time stamps is compared, and according to the result of the similarity, the higher the similarity is, the fault condition of the abnormal computer equipment is not further deepened. Similarly, the lower the similarity is, the more obvious the fault change is, namely the fault problem is more serious, the early warning information needs to be processed in an urgent way, the safe and stable operation of each computer device in the machine room environment is ensured, and the dynamic monitoring of the machine room environment is completed.
In a second aspect, an embodiment of the present invention further provides a multi-component monitoring and early warning device for a machine room environment, where the device includes: at least one processor; and a memory communicatively coupled to the at least one processor; the memory stores instructions executable by the at least one processor to enable the at least one processor to perform a multi-component monitoring and early warning method for a machine room environment according to any one of the embodiments.
In a third aspect, an embodiment of the present invention further provides a non-volatile computer storage medium, where the storage medium is a non-volatile computer readable storage medium, where at least one program is stored in the non-volatile computer readable storage medium, where each program includes instructions, where the instructions, when executed by a terminal, cause the terminal to execute a multiple monitoring and early warning method for a machine room environment according to any one of the foregoing embodiments.
The invention provides a multi-component monitoring and early warning method, equipment and medium for a machine room environment, which form multi-directional monitoring on the machine room environment through indoor environment monitoring on the machine room environment and abnormal monitoring on a plurality of computer equipment in the machine room, generate multi-level environment monitoring results based on preset timestamps according to acquired machine room environment information and equipment image information, and then send the multi-level environment monitoring results to staff at the rear end to help the staff to master the actual environment information of the machine room quickly and in real time so as to make corresponding processing means. The intelligent computer room monitoring system is beneficial to the real-time monitoring of the working personnel on the environment of the computer room and the self fault condition of the computer equipment, and the acquisition of environmental data can be realized in an omnibearing way and with small occupied area through the distributed installation of the multiple sensors, so that the cost for monitoring the environment of the computer room is reduced, the early warning efficiency for monitoring the environment of various computer rooms is effectively improved, and the running safety and stability of the computer equipment are enhanced.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments described in the present invention, and other drawings may be obtained according to the drawings without inventive effort to those skilled in the art. In the drawings:
fig. 1 is a flowchart of a multi-component monitoring and early warning method for a machine room environment according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a multi-component monitoring and early warning device for a machine room environment according to an embodiment of the present invention.
Detailed Description
In order to make the technical solution of the present invention better understood by those skilled in the art, the technical solution of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, shall fall within the scope of the present invention.
The embodiment of the invention provides a multi-component monitoring and early warning method for a machine room environment, which is shown in fig. 1, and specifically comprises the following steps of S101-S104:
s101, acquiring environmental information in a machine room in real time through a sensor to obtain the machine room environmental information. Wherein, computer lab environmental information includes at least: temperature, humidity and cleanliness.
Specifically, through a plurality of temperature sensors and a plurality of humidity sensors in a preset area in the machine room, real-time data monitoring is carried out on the indoor environment of the machine room, and temperature environment information and humidity environment information based on a first time stamp are obtained respectively. Through a plurality of air detection sensors of pre-installation on computer lab top, carry out the concentration detection that relevant air contained dust to the computer lab indoor environment, obtain the cleanliness factor information based on first timestamp. The preset area comprises an upper area, a side area, a bottom area and a mutual interval area of each computer device in the machine room.
Further, through the RS485 interface of the IIC bus and a communication protocol, temperature environment information, humidity environment information and cleanliness information are subjected to data packaging processing, so that machine room environment information based on a first time stamp is obtained. The IIC bus is connected with the temperature sensor, the humidity sensor and the air detection sensor and is used for reading various data acquired in the sensor.
The water leakage warning information can be obtained by detecting ground water leakage of the indoor environment of the machine room through a plurality of water immersion sensors preset on the ground. And carrying out noise detection on the indoor environment of the machine room through a preset noise sensor to obtain noise decibel information. And (3) detecting gas components of the gas released by the standby battery pack in the indoor environment of the machine room by a harmful gas detection sensor preinstalled at the top end of the machine room to obtain gas component information.
Further, based on the first timestamp, the water leakage warning information, the noise decibel information and the gas component information are subjected to data packaging processing to obtain additional machine room environment information. And carrying out accessory association on the additional machine room environment information and the machine room environment information based on the first timestamp through a communication protocol in the IIC bus so as to determine the static machine room environment information in the indoor environment of the machine room.
In one embodiment, the machine room environment is detected in all directions by a plurality of temperature sensors, humidity sensors, air detection sensors, water immersion sensors, noise sensors, harmful gas detection sensors and the like which are pre-installed in the indoor machine room, and a plurality of data information about the machine room environment are acquired under the same time stamp. The time stamp may be set to a time representation in minutes, for example, the first time stamp may be 10:01 a.m., the second time stamp may be 10:02 a.m., etc. The air cleanliness is based on the specific number of dust particles in air, the control unit reads data monitored by the sensor in the plurality of working units according to IIC buses with fixed frequency through the control unit in the equipment room environment monitoring platform, and then data packaging is carried out on room environment information and additional room environment information together according to an RS485 interface and a communication protocol, so that static room environment information of the room environment under a first time stamp is determined.
As a possible implementation mode, UPS detection can be performed on computer equipment, an intelligent power acquisition module is adopted, ADC sampling is performed through a voltage dividing circuit, then the ADC sampling value is compared with a preset value, and the current electric energy condition is judged, wherein the current electric energy condition comprises a storage battery state, each phase voltage of an input/output end, line voltage, no-load loss, power factor, efficiency, output voltage waveform distortion degree, output voltage frequency and the like. When the detection parameters are inconsistent with the standard parameters, the control unit receives the inspection signals, reports the events through the RS485 interface and the communication protocol, and performs data packaging together with the machine room environment information and the additional machine room environment information to form the comprehensive static machine room environment information. The preset value is a voltage value at an ADC pin, and is generally set to 3.3V. The standard parameters are standard operation indexes of the electric energy in the intelligent electric power acquisition module.
S102, based on abnormal environment information in the machine room environment information, detecting own hardware of the computer equipment in the machine room to obtain own hardware information of the computer equipment.
Specifically, information threshold judgment is performed on the machine room environment information. The static machine room environment information comprises machine room environment information and associated additional machine room environment information.
If the temperature environment information in the machine room environment information exceeds a preset temperature interval, or the humidity environment information exceeds a preset humidity interval, or the cleanliness information exceeds a preset dust particle number interval, the machine room environment information is determined to be first abnormal environment information. Otherwise, the machine room environment information is determined to be the first normal environment information.
And if the machine room environment information is determined to be the first normal environment information, judging the information threshold value of the additional machine room environment information.
If the noise decibel information in the additional machine room environment information exceeds the preset decibel interval, or the gas component information contains harmful gas, or the water leakage warning information is identified, the additional machine room environment information is determined to be second abnormal environment information. Otherwise, the additional machine room environment information is determined to be the second normal environment information.
If the machine room environment information is determined to be the first normal environment information and the additional machine room environment information is determined to be the second normal environment information, the static machine room environment information is determined to be the normal environment information. Otherwise, the static machine room environment information is abnormal environment information.
In one embodiment, the temperature interval in the general machine room environment is set at about 22 ℃, the humidity interval is 45% -60% RH interval, the normal operation of the computer equipment is not facilitated due to the fact that the humidity interval is too high or too low, the dust particle number interval in the cleanliness is smaller than 18000 um dust particles, and meanwhile the decibel interval of noise is as small as possible, so that air vibration is avoided, and the normal operation of a circuit is not affected. The computer lab can release poisonous gas to the air because of the group battery charges and discharges, includes: sulfur dioxide, hydrogen sulfide, carbon monoxide, ozone, etc., which are harmful to the body, and can react with water in the air to generate corrosive substances such as acid, alkali, salt, etc., which can cause great corrosion to precision equipment such as integrated circuits, etc. Such corrosion is often destructive. The identification of harmful gases is performed to prevent the computer equipment from being affected.
Further, if abnormal environment information is identified, carrying out infrared thermal scanning and photographing on a plurality of computer devices in a machine room through a preset infrared camera to obtain a thermal imaging diagram. Wherein, infrared camera and cloud platform camera are as an organic whole installation. Traversing the thermal imaging map by presetting a rectangular sampling window. And carrying out window recognition on the abnormal temperature region in the thermal imaging diagram to obtain temperature information and infrared position coordinates of the abnormal temperature region. The preset rectangular sampling window is the size of the pixel value 3*3 and is used for traversing each pixel in the thermal imaging diagram.
Further, shooting and obtaining a physical image of a plurality of computer devices in the machine room through a cradle head camera; and (3) carrying out position labeling on a plurality of computers in the object diagram based on the image coordinate system to obtain actual position coordinates of the plurality of computers. And carrying out mutual matching processing on the infrared position coordinates and the actual position coordinates to obtain abnormal computer equipment coordinates. And packaging the temperature information of the abnormal temperature region and the coordinates of the abnormal computer equipment to generate the hardware information of the abnormal temperature computer equipment.
In one embodiment, after recognizing that the static machine room environment information in the machine room environment is problematic, generating a thermal imaging diagram by scanning all the computer equipment in the machine room, detecting whether the computer equipment is damaged or not, generating the coordinate position of the abnormal computer equipment according to the high-temperature abnormal area in the thermal imaging diagram and matching with the physical diagram, packaging the temperature information of the abnormal temperature area and the coordinates of the abnormal computer equipment uniformly, and uploading the temperature information and the coordinates of the abnormal computer equipment to an equipment machine room environment monitoring platform to generate self hardware information of the abnormal computer equipment at related temperature.
S103, acquiring equipment image information of the computer equipment corresponding to the hardware information of the computer equipment through a preset cradle head camera.
Specifically, according to the coordinates of the abnormal computer equipment in the hardware information of the camera, the rotation of the tripod head camera is controlled, so that the coordinates of the central point of the lens in the tripod head camera and the coordinates of the abnormal computer equipment are overlapped with each other. Based on the first timestamp, the frame number of the video stream is acquired for the abnormal computer equipment through the rotated cradle head camera, and a plurality of video frames of the abnormal computer equipment are obtained.
Further, key frames in the plurality of video frames are extracted, and the key frames are determined as device image information. And the device image information and the temperature information in the hardware information are subjected to data packaging through a communication protocol in the IIC bus so as to determine the dynamic machine room environment information in the indoor environment of the machine room.
And carrying out gray scale normalization processing on the plurality of video frames to obtain a plurality of continuous gray scale video frame images. And according to the gradual change continuous frame characteristics, carrying out coding treatment on the continuous gray video frame images to obtain coded continuous gray video frame images. And based on the brightness change gradient of the video image, performing feature comparison on the coded continuous gray video frame image and a preset reference frame image, and determining the coded gray video frame meeting a feature comparison threshold as a key frame in a plurality of video frames. Real-time status images of the computer device in the key frames are determined as device image information. The preset reference frame image is an image corresponding to a first frame of continuous frames in the continuous gray video frame images.
In one embodiment, according to the identified abnormal computer equipment, the abnormal computer equipment is monitored in real time, key frames in a plurality of continuous video frames are extracted, the key frames are determined to be equipment image information, namely an actual state diagram of the abnormal computer equipment with the most clear effect, the equipment image information and the temperature information of the equipment image information are packed in data, and dynamic equipment room environment information aiming at the abnormal computer equipment in the equipment room environment is formed and uploaded to an equipment room environment monitoring platform for subsequent monitoring and early warning.
S104, according to the machine room environment information and the equipment image information, abnormality detection is carried out on the machine room operation environment, and an environment monitoring result is obtained. And the environmental monitoring result is sent to the mobile terminal in real time through the equipment room environmental monitoring platform so as to display the environmental monitoring result on screen.
Specifically, based on the first timestamp, static environment information corresponding to the machine room environment information and dynamic environment information corresponding to the equipment image information are acquired, and are determined to be first detection information. Based on the second time stamp, static environment information and dynamic environment information corresponding to the second time stamp are acquired and determined to be second detection information.
Further, according to the information similarity between the first detection information and the second detection information, abnormality detection is carried out on the machine room operation environment, and an environment monitoring result is obtained. The environment monitoring result comprises the following steps: low-risk environment early warning information, medium-risk environment early warning information and high-risk environment early warning information.
In one embodiment, the first detection information and the second detection information obtained through the two time stamping are compared in terms of data similarity, and the higher the information similarity is, the higher the fault condition of the abnormal computer equipment is indicated, otherwise, the lower the information similarity is, the greater the data feature difference in the two detection information is indicated, the higher the fault condition of the abnormal computer equipment is indicated, and the higher the level of the priority processing is required, and the higher-level environment early warning information is corresponding. And finally, the environment monitoring result, the dynamic machine room environment information, the static machine room environment information and the environment early warning information with different grades are transmitted to the mobile terminal of the staff through the equipment machine room environment monitoring platform, and the machine room environment picture is updated and displayed in real time, so that the staff is helped to determine the actual abnormal environment of the machine room.
In addition, the embodiment of the invention also provides a multi-element monitoring and early warning device for a machine room environment, as shown in fig. 2, the multi-element monitoring and early warning device 200 for the machine room environment specifically comprises:
at least one processor 201. And a memory 202 communicatively coupled to the at least one processor 201; wherein the memory 202 stores instructions executable by the at least one processor 201 to enable the at least one processor 201 to perform:
acquiring environmental information in a machine room in real time through a sensor to obtain the environmental information of the machine room; wherein, computer lab environmental information includes at least: temperature, humidity and cleanliness;
based on abnormal environment information in the machine room environment information, detecting own hardware of computer equipment in the machine room to obtain own hardware information of the computer equipment;
acquiring equipment image information of computer equipment corresponding to the hardware information of the equipment through a preset cradle head camera;
performing anomaly detection on the machine room operation environment according to the machine room environment information and the equipment image information to obtain an environment monitoring result; and the environmental monitoring result is sent to the mobile terminal in real time through a preset equipment room environmental monitoring platform so as to display the environmental monitoring result on screen.
According to the embodiment of the invention, through indoor environment monitoring of the machine room environment and abnormal monitoring of a plurality of computer devices in the machine room, multi-azimuth monitoring of the machine room environment is formed, and according to the acquired machine room environment information and device image information, a multi-level environment monitoring result is generated based on a preset time stamp and then is sent to a rear-end staff, so that the staff can master the actual environment information of the machine room quickly and in real time, and corresponding processing means can be made. The intelligent computer room monitoring system is beneficial to the real-time monitoring of the working personnel on the environment of the computer room and the self fault condition of the computer equipment, and the acquisition of environmental data can be realized in an omnibearing way and with small occupied area through the distributed installation of the multiple sensors, so that the cost for monitoring the environment of the computer room is reduced, the early warning efficiency for monitoring the environment of various computer rooms is effectively improved, and the running safety and stability of the computer equipment are enhanced.
The embodiments of the present invention are described in a progressive manner, and the same and similar parts of the embodiments are all referred to each other, and each embodiment is mainly described in the differences from the other embodiments. In particular, for apparatus, non-volatile computer storage medium embodiments, the description is relatively simple, as it is substantially similar to method embodiments, with reference to the section of the method embodiments being relevant.
The devices and media provided in the embodiments of the present invention are in one-to-one correspondence with the methods, so that the devices and media also have similar beneficial technical effects as the corresponding methods, and since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the devices and media are not repeated here.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
The foregoing is merely exemplary of the present invention and is not intended to limit the present invention. Various modifications and changes may be made to the embodiments of the invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the embodiments of the present invention should be included in the scope of the present invention.
Claims (7)
1. A multi-component monitoring and early warning method for a machine room environment is characterized by comprising the following steps:
acquiring environmental information in a machine room in real time through a sensor to obtain the environmental information of the machine room; wherein, the computer lab environmental information includes at least: temperature, humidity and cleanliness;
based on the abnormal environmental information in the machine room environmental information, detecting the hardware of the computer equipment in the machine room to obtain the hardware information of the computer equipment, which specifically comprises the following steps:
if the abnormal environment information is identified, carrying out infrared thermal scanning and photographing on a plurality of computer equipment in the machine room through a preset infrared camera to obtain a thermal imaging diagram; the infrared camera and the cradle head camera are integrally arranged;
traversing the thermal imaging diagram through a preset rectangular sampling window; carrying out window recognition on an abnormal temperature region in the thermal imaging diagram to obtain temperature information and infrared position coordinates of the abnormal temperature region;
shooting and obtaining a physical image of a plurality of computer devices in the machine room through the cradle head camera; based on an image coordinate system, carrying out position labeling on a plurality of computers in the physical image to obtain actual position coordinates of the plurality of computers;
performing mutual matching processing on the infrared position coordinates and the actual position coordinates to obtain abnormal computer equipment coordinates;
packaging the temperature information of the abnormal temperature region and the coordinates of the abnormal computer equipment to generate self hardware information of the abnormal temperature computer equipment;
acquiring equipment image information of the computer equipment corresponding to the hardware information of the equipment through a preset cradle head camera, wherein the equipment image information comprises the following specific steps of:
according to the abnormal computer equipment coordinates in the hardware information, controlling the rotation of the tripod head camera so as to enable the center point coordinates of the lens in the tripod head camera and the abnormal computer equipment coordinates to coincide with each other;
based on a first timestamp, acquiring the frame number of a video stream of abnormal computer equipment through a rotated cradle head camera, and obtaining a plurality of video frames of the abnormal computer equipment;
extracting key frames in the video frames, and determining the key frames as equipment image information specifically comprises the following steps:
carrying out gray scale normalization processing on the video frames to obtain a plurality of continuous gray scale video frame images;
according to the gradual change continuous frame characteristics, coding the continuous gray video frame images to obtain coded continuous gray video frame images;
based on the brightness change gradient of the video image, performing feature comparison on the coded continuous gray video frame image and a preset reference frame image, and determining the coded gray video frame meeting a feature comparison threshold as a key frame in the video frames;
determining a real-time status image of the computer device in the key frame as the device image information; the device image information and the temperature information in the self hardware information are subjected to data packaging through a communication protocol in an IIC bus so as to determine dynamic machine room environment information in the indoor environment of the machine room;
performing anomaly detection on the machine room operation environment according to the machine room environment information and the equipment image information to obtain an environment monitoring result; and sending the environment monitoring result to the mobile terminal in real time through a preset equipment room environment monitoring platform so as to display the environment monitoring result on screen.
2. The multi-component monitoring and early warning method for the machine room environment according to claim 1, wherein the environment information in the machine room is obtained in real time by a sensor, and the method specifically comprises the following steps:
real-time data monitoring is carried out on the indoor environment of the machine room through a plurality of temperature sensors and a plurality of humidity sensors in a preset area in the machine room, so that temperature environment information and humidity environment information based on a first time stamp are respectively obtained;
detecting the concentration of dust contained in air in the indoor environment of the machine room by a plurality of air detection sensors preinstalled at the top end of the machine room to obtain cleanliness information based on the first timestamp;
data packaging processing is carried out on the temperature environment information, the humidity environment information and the cleanliness information through an RS485 interface of an IIC bus and a communication protocol, so that machine room environment information based on the first timestamp is obtained; the IIC bus is connected with the temperature sensor, the humidity sensor and the air detection sensor and used for reading various data acquired in the sensor.
3. The multi-component monitoring and early warning method for the machine room environment according to claim 2 is characterized in that ground water leakage detection is carried out on the machine room indoor environment through a plurality of water immersion sensors preset on the ground to obtain water leakage warning information;
noise detection is carried out on the indoor environment of the machine room through a preset noise sensor, so that noise decibel information is obtained;
the method comprises the steps that through a harmful gas detection sensor preinstalled at the top end of a machine room, gas components of gas released by a standby battery pack in the indoor environment of the machine room are detected, and gas component information is obtained;
based on the first timestamp, carrying out data packaging processing on the water leakage warning information, the noise decibel information and the gas component information to obtain additional machine room environment information;
and performing auxiliary association on the additional machine room environment information and the machine room environment information based on the first timestamp through a communication protocol in the IIC bus to determine static machine room environment information in the indoor environment of the machine room.
4. The multi-component monitoring and early warning method for the machine room environment according to claim 1, wherein before detecting the hardware of the computer equipment in the machine room based on the abnormal environment information in the machine room environment information to obtain the hardware information of the computer equipment, the method further comprises:
judging an information threshold value of the machine room environment information; the static machine room environment information comprises the machine room environment information and the associated additional machine room environment information;
if the temperature environment information in the machine room environment information exceeds a preset temperature interval, or the humidity environment information exceeds a preset humidity interval, or the cleanliness information exceeds a preset dust particle number interval, determining the machine room environment information as first abnormal environment information; otherwise, the machine room environment information is determined to be first normal environment information;
if the machine room environment information is determined to be the first normal environment information, judging an information threshold value of the additional machine room environment information;
if the noise decibel information in the additional machine room environment information exceeds a preset decibel interval, or the gas component information contains harmful gas, or the water leakage warning information is identified, determining the additional machine room environment information as second abnormal environment information; otherwise, the additional machine room environment information is determined to be second normal environment information;
if the machine room environment information is determined to be first normal environment information and the additional machine room environment information is second normal environment information, determining the static machine room environment information to be normal environment information; otherwise, the static machine room environment information is abnormal environment information.
5. The multi-component monitoring and early warning method for the machine room environment according to claim 1, wherein the method is characterized by performing anomaly detection on the machine room operation environment according to the machine room environment information and the equipment image information to obtain an environment monitoring result, and specifically comprises the following steps:
based on a first timestamp, acquiring static environment information corresponding to the machine room environment information and dynamic environment information corresponding to the equipment image information, and determining the static environment information and the dynamic environment information as first detection information;
based on a second time stamp, acquiring static environment information and dynamic environment information corresponding to the second time stamp, and determining the static environment information and the dynamic environment information as second detection information;
performing anomaly detection on the machine room operation environment according to the information similarity between the first detection information and the second detection information to obtain the environment monitoring result; wherein, the environmental monitoring result includes: low-risk environment early warning information, medium-risk environment early warning information and high-risk environment early warning information.
6. A multi-component monitoring and early warning device for a machine room environment, the device comprising:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform a multi-component monitoring and pre-warning method of a machine room environment according to any one of claims 1-5.
7. A non-volatile computer storage medium, characterized in that the storage medium is a non-volatile computer readable storage medium, the non-volatile computer readable storage medium storing at least one program, each of the programs comprising instructions, which when executed by a terminal, cause the terminal to perform a multi-component monitoring and pre-warning method of a machine room environment according to any one of claims 1-5.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101184226A (en) * | 2006-11-14 | 2008-05-21 | 腾讯科技（深圳）有限公司 | Method and device of inserting video key frame |
| CN110147063A (en) * | 2019-06-14 | 2019-08-20 | 上海中通吉网络技术有限公司 | Machine room monitoring system |
| CN115049988A (en) * | 2022-08-17 | 2022-09-13 | 南方电网数字电网研究院有限公司 | Edge calculation method and device for power distribution network monitoring and prejudging |
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| CN112460737A (en) * | 2020-12-28 | 2021-03-09 | 浙江肯特科技股份有限公司 | Monitoring and early warning processing system for production of warm-keeping shawl |
| JP2022134340A (en) * | 2021-03-03 | 2022-09-15 | 日本電気株式会社 | Peripheral apparatus, monitoring system, monitoring method, and program |
| CN115016362A (en) * | 2022-07-01 | 2022-09-06 | 广东瑞普科技股份有限公司 | Intelligent security monitoring method, device, equipment and storage medium for machine room |
| CN115271003B (en) * | 2022-09-30 | 2023-01-03 | 江苏云天新材料制造有限公司 | Abnormal data analysis method and system for automatic environment monitoring equipment |
-
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101184226A (en) * | 2006-11-14 | 2008-05-21 | 腾讯科技（深圳）有限公司 | Method and device of inserting video key frame |
| CN110147063A (en) * | 2019-06-14 | 2019-08-20 | 上海中通吉网络技术有限公司 | Machine room monitoring system |
| CN115049988A (en) * | 2022-08-17 | 2022-09-13 | 南方电网数字电网研究院有限公司 | Edge calculation method and device for power distribution network monitoring and prejudging |
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