CN116684251B - IDC fault monitoring system and method thereof - Google Patents
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Abstract
The invention relates to the technical field of machine room fault monitoring, in particular to a fault monitoring system and a fault monitoring method of IDC, wherein the fault monitoring system comprises the following steps: the mobile monitoring robot acquires a picture of a backboard where an indicator lamp of the equipment to be monitored is located in a fault monitoring process, judges the on-off condition of the indicator lamp according to the picture, acquires the equipment number to be monitored if the indicator lamp is on, generates a fault message carrying the equipment number to be monitored, and uploads the fault message to the background server; and the background server pushes the fault message to operation and maintenance personnel. The invention realizes automatic identification of the type and the state of the indicator lamp on each device in the data center machine room through the mobile monitoring robot, and overcomes the defects of long time, low efficiency, high labor cost and larger judging result error when the patrol personnel judges whether the fault occurs on each device in the data center machine room.
Description
Technical Field
The invention relates to the technical field of machine room fault monitoring, in particular to a fault monitoring system and method of IDC.
Background
The internet data center (Internet Data Center, abbreviated as IDC) refers to an application service platform which has perfect equipment (including high-speed internet access bandwidth, high-performance local area network, safe and reliable machine room environment and the like), specialized management and perfect application service platform. On the basis of the platform, IDC service providers provide clients with internet base platform services (server hosting, virtual hosts, mail caching, virtual mail, etc.) and various value added services (leased services of sites, domain name system services, load balancing systems, database systems, data backup services, etc.).
The equipment indicator light is an important content of inspection in a data center machine room. At present, most of inspection tasks in a data center machine room are manually inspected, and inspection staff periodically inspect indicator lamps on all devices in the data center machine room. However, there are a large number of devices (including power supply devices, refrigeration devices and server devices) in the data center room, and the indicator light targets are small and not easily perceived, and only relying on manual inspection has the disadvantages of low efficiency, high error rate, high labor cost and the like.
Disclosure of Invention
The invention provides a fault monitoring system and a fault monitoring method for IDC, which overcome the defects of long time, low efficiency, high labor cost and larger error of judging results when a patrol inspector judges whether faults occur on all equipment in a data center machine room.
In order to achieve the above purpose, the invention adopts the following technical scheme:
a fault monitoring system for an IDC, comprising: a mobile monitoring robot, a fixed detection terminal and a background server,
in the course of the fault monitoring process,
the mobile monitoring robot obtains a picture of a backboard where the equipment indicator lamp to be monitored is located, judges the on-off condition of the fault indicator lamp according to the picture, obtains the equipment number to be monitored if the fault indicator lamp is on, generates a fault message carrying the equipment number to be monitored, and uploads the fault message to the background server;
the background server pushes the fault message to operation and maintenance personnel;
in the course of the environmental monitoring process,
the fixed detection terminals are distributed on a first preset position in the space of the data center machine room and are used for collecting environmental parameters at the first preset position and uploading the environmental parameters to the background server;
the mobile monitoring robot moves according to a path appointed by the background server, stays for a certain time and collects environmental parameters of a second preset site when the second preset site is reached, and then uploads the collected environmental parameters to the background server;
the background server obtains the environmental parameter at the second preset site through an inverse distance weighted interpolation algorithm according to the environmental parameter at the first preset site, takes the environmental parameter as a calibration parameter, calibrates the environmental parameter at the second preset site uploaded by the mobile monitoring robot by using the calibration parameter, and generates environmental monitoring data according to the calibrated environmental parameter at the second preset site; the first preset site and the second preset site jointly form all environment monitoring points in the data center machine room space.
Further, the mobile monitoring robot comprises a control module, an image acquisition module and an image processing module, wherein the image acquisition module is connected with the control module through the image processing module;
the mobile monitoring robot is provided with a lifting mechanism, and the image acquisition module is arranged on the lifting mechanism.
Further, the mobile monitoring robot further comprises a wireless communication module, a gas detection module, a noise detection module, a temperature sensor, a humidity sensor and a PM2.5 sensor, wherein the control module is connected with the wireless communication module, the gas detection module, the noise detection module, the temperature sensor, the humidity sensor and the PM2.5 sensor.
Further, the mobile monitoring robot further comprises a driving module and a laser navigation positioning module, and the control module is connected with the driving module and the laser navigation positioning module.
Further, the control module comprises a main controller and a microcontroller, and the wireless communication module comprises a WIFI module and an NB-IoT module; the main controller is connected with the microcontroller, the WIFI module, the gas detection module, the noise detection module, the temperature sensor, the humidity sensor and the PM2.5 sensor, and the microcontroller is connected with the NB-IoT module, the laser navigation positioning module and the driving module;
wherein,
when the mobile monitoring robot is in a standby mode, the main controller and the microcontroller are both in a sleep mode;
after the mobile monitoring robot receives a monitoring task starting instruction through the microcontroller, keeping the microcontroller in a normal working mode, starting the laser navigation positioning module and the driving module to enable the mobile monitoring robot to start moving according to a path appointed by the background server, and keeping the main controller in a sleep mode at the moment;
when the mobile monitoring robot reaches a point to be monitored, waking up the main controller through the microcontroller to enable the main controller to be in a normal working mode;
after the execution of the monitoring task of one point to be monitored is finished, the main controller sends the information of the completion of the execution of the monitoring task to the microcontroller, and then the microcontroller automatically enters a sleep mode to wait for the next awakening;
after all the monitoring tasks of the points to be monitored are executed, the microcontroller sends monitoring task execution completion information to the background server through the NB-IoT module, and then automatically enters a sleep mode to wait for receiving a next monitoring task starting instruction.
Further, the mobile monitoring robot further comprises a storage module and a data reading module, and the storage module is connected with the main controller and the data reading module.
Further, the mobile monitoring robot further comprises a display module, and the display module is connected with the control module.
Further, the judging the on-off condition of the fault indicator according to the picture includes:
and carrying out color recognition on the picture, and determining the red indicator lamp as a fault indicator lamp based on a recognition result.
Further, the judging the on-off condition of the fault indicator according to the picture further includes:
performing histogram transformation on the area where the fault indicator lamp is located, and comparing the proportion of dark pixels in the area where the histogram transformation is performed with preset super parameters;
if the proportion of the dark pixels exceeds a preset super parameter, the current state of the fault indicator lamp is dark;
and if the proportion of the dark pixels does not exceed the preset super-parameters, the current state of the fault indicator lamp is on.
A fault monitoring method of an IDC, the fault monitoring method of an IDC being applied to the fault monitoring system of an IDC as described above, the fault monitoring method of an IDC comprising the steps of:
acquiring a picture of a backboard where an indicator light of equipment to be monitored is located;
judging the on-off condition of the fault indicator lamp according to the picture,
if the fault indicator lights are on, the equipment numbers to be monitored are obtained, fault messages carrying the equipment numbers to be monitored are generated, and the fault messages are uploaded to the background server.
The invention has the beneficial effects that:
1. compared with the prior art, the invention realizes automatic identification of the type and the state of the indicator lamp on each device in the data center machine room through the mobile monitoring robot, and overcomes the defects of long time, low efficiency, high labor cost and larger error of judging results when inspection staff judges whether faults occur on each device in the data center machine room.
2. The fault monitoring system of the IDC can be compatible with fault monitoring tasks and environment monitoring tasks, is convenient for managers to trace the source of fault reasons, and can reduce cost without additionally arranging the fault monitoring system in a data center machine room.
3. According to the invention, the environment parameters are collected by the mobile monitoring robot, so that the density of the monitoring sites can be increased, the environment parameters can be collected more comprehensively, the environment monitoring data can be obtained more accurately, and the environment condition in the data center machine room can be reflected more accurately.
4. According to the invention, based on the environmental parameters acquired by the fixed detection terminal, the calibration parameters at the second preset site are calculated through an inverse distance weighted interpolation algorithm; and the environmental parameters acquired by the mobile monitoring robot are calibrated by using the calibration parameters, so that the accuracy of environmental monitoring data in the machine room can be further improved.
5. When the monitoring site is required to be adjusted, the invention only needs to adjust the stay position of the mobile monitoring robot, and does not need to detach the environment sensor, thereby reducing the damage of the environment sensor; and meanwhile, the labor cost for adjusting the monitoring site can be reduced.
Drawings
Fig. 1 is a flow chart of a fault monitoring method of an IDC according to the present invention.
Detailed Description
Referring to fig. 1, the present invention relates to a fault monitoring system and method for IDC. The data center room is a standardized and specialized room formed by aggregating a large number of servers, communication devices, power supply devices, environmental devices, lighting devices and matched lines. The performance of the data center is closely related to the environment of the computer room, and in general, the environmental parameters closely related to the performance of the data center include temperature, air humidity, air volume (reflecting the circulation degree of air) and air particulate matter concentration. In order to maintain the environmental parameters such as temperature, humidity, air quantity, particulate matter concentration and the like in the machine room, the internal environment of the data center machine room is regulated by adopting equipment such as an air conditioner, a ventilating fan, a purifier and the like, so that all the environmental parameters are maintained at proper values, and the stability and reliability of the operation of a server and various equipment of the data center are facilitated.
The fault monitoring system of IDC of the invention comprises: the system comprises a fixed detection terminal, a mobile monitoring robot, a background server and a client; when fault monitoring and environment monitoring are needed, the same mobile monitoring robot can be used for executing tasks twice, namely, the first time of fault monitoring task and the second time of environment monitoring task are executed; a plurality of the mobile monitoring robots can also be used for executing tasks simultaneously. The fault monitoring system of the IDC can be compatible with a fault monitoring task and an environment monitoring task, is convenient for a manager to trace the source of the fault cause (namely, study the relation between the fault cause and the environment of a data center machine room), and can reduce the cost without additionally arranging the fault monitoring system in the data center machine room.
In the course of the fault monitoring process,
the mobile monitoring robot obtains a picture of a backboard where the equipment indicator lamp to be monitored is located, judges the on-off condition of the fault indicator lamp according to the picture, obtains the equipment number to be monitored (specifically, photographs and identifies the equipment number to be monitored through the mobile monitoring robot) if the fault indicator lamp is on, generates a fault message carrying the equipment number to be monitored, and uploads the fault message to the background server; it is emphasized that the equipment number to be monitored can facilitate maintenance personnel to quickly find out fault equipment, and maintenance efficiency is improved.
The method for judging the on-off condition of the fault indicator lamp according to the picture comprises the following steps:
performing color recognition on the picture, and determining a red indicator lamp as a fault indicator lamp based on a recognition result;
performing histogram transformation on the area where the fault indicator lamp is located, and comparing the proportion of dark pixels in the area where the histogram transformation is performed with preset super parameters;
if the proportion of the dark pixels exceeds a preset super parameter, the current state of the fault indicator lamp is dark;
if the proportion of the dark pixels does not exceed the preset super parameter, the current state of the fault indicator lamp is on;
the dark pixels and the preset super parameters can be set according to actual conditions.
The background server pushes the fault message to operation and maintenance personnel, and the purpose defined herein is to facilitate maintenance personnel to maintain fault equipment in time and reduce the influence caused by faults.
Compared with video recognition, the image recognition method and device can greatly reduce the calculated amount of image recognition, improve the calculation efficiency and enable the mobile monitoring robot to judge that the fault indicator lights are on or off. Meanwhile, the mobile monitoring robot realizes automatic identification of the type and the state of the indicator lights on each device in the data center machine room, and the defects that the patrol personnel judge that the fault indicator lights on each device in the data center machine room are long in time, low in efficiency and large in judging result error exist are avoided.
In the course of the environmental monitoring process,
the fixed detection terminals are distributed on a first preset position in the space of the data center machine room and are used for collecting environmental parameters at the first preset position and uploading the environmental parameters to the background server;
the mobile monitoring robot moves according to a path appointed by the background server, stays for a certain time and collects environmental parameters of a second preset site when the second preset site is reached, and then uploads the collected environmental parameters to the background server; it should be noted that, the residence time of the mobile monitoring robot at the second preset position ranges from 10 seconds to 60 seconds, and the purpose defined herein is to detect the environmental parameter when the mobile monitoring robot is in a static state, so that the interference caused by the motion of the mobile monitoring robot can be reduced, and the accuracy of environmental detection is further improved;
the background server obtains the environmental parameter at the second preset site through an inverse distance weighted interpolation algorithm according to the environmental parameter at the first preset site, uses the environmental parameter as a calibration parameter, calibrates the environmental parameter at the second preset site uploaded by the mobile monitoring robot by using the calibration parameter, generates environmental monitoring data according to the calibrated environmental parameter at the second preset site, and then sends the environmental monitoring data to the client; the first preset site and the second preset site jointly form all environment monitoring points in the data center machine room space; it should be noted that, the number of the first preset sites and the second preset sites is determined according to the actual situation;
it should be emphasized that the calculation formula for obtaining the environmental parameter at the second preset position by the inverse distance weighted interpolation algorithm is as follows:
f (x, y) is an environmental parameter predicted value at a second preset position point of the coordinate point (x, y);for coordinate points (+)>,/>) The method comprises the steps of (1) setting a first preset site of environmental data measured value, (n) setting the number of sample points around a predicted point participating in interpolation, d setting the distance between the predicted point and each known sample point, and k setting the weight, wherein the weight is generally 1-2, and the calculation is generally 2. Note that, the inverse distance weighted interpolation, i.e., IDW (Inverse Distance Weight), may also be referred to as a distance reciprocal multiplication method. It means that the distance reciprocal grid method is a weighted average interpolation method, and can perform interpolation in an exact or smooth way. The square parameters control how the weighting factors decrease with increasing distance from a mesh node. For a larger square, the closer data points are given a higher weight share, and for a smaller square, the weights are more evenly assigned to the data points. IDW is a basic assumption based on the "first law of geography" that two objects' similarity decreases as the distance they see increases. The method takes the distance between an interpolation point and a sample point as weight for weighted average, and the weight given by a sample which is closer to the interpolation point is larger; the method has the advantages of simplicity, easiness, intuitiveness, high efficiency, good interpolation effect under the condition of uniform distribution of known points, and the like;
the client is used for receiving, processing and displaying the environment monitoring data and the fault message sent by the background server. It should be noted that, the client refers to a program corresponding to the server, and provides local services for the client. Is generally installed on a PC, a mobile phone and a tablet personal computer, and needs to be matched with a server for operation. The main components of the client comprise a user interface, a network, a UI back end, a JS interpreter and a data store.
The invention has the beneficial effects that:
1. in the prior art, environmental sensors are generally arranged at fixed monitoring sites to collect environmental parameters, and due to the fact that the monitoring sites are fixed and the number of the monitoring sites is limited, environmental monitoring data are insufficient, and it is difficult to comprehensively and accurately reflect environmental conditions in a data center machine room. Compared with the prior art, the invention collects the environmental parameters by the mobile monitoring robot, can increase the density of the monitoring sites and collect the environmental parameters more comprehensively, thereby obtaining the environmental monitoring data more accurately and reflecting the environmental conditions in the data center machine room more accurately.
2. According to the invention, based on the environmental parameters acquired by the fixed detection terminal, the calibration parameters at the second preset site are calculated through an inverse distance weighted interpolation algorithm; and the environmental parameters acquired by the mobile monitoring robot are calibrated by using the calibration parameters, so that the accuracy of environmental monitoring data in the machine room can be further improved.
3. When the monitoring site needs to be adjusted, the environment sensor on the original monitoring site needs to be detached manually in the prior art and then is installed on a new monitoring site; the disassembly process is prone to damage to the environmental sensor. The invention only needs to adjust the stay position of the mobile monitoring robot (the stay position of the mobile monitoring robot is the position of the second preset site, the path of the mobile monitoring robot can be provided with a plurality of second preset sites, the specific path and the number of the monitoring sites are controlled by the background server), and the environmental sensor is not required to be disassembled, so that the damage of the environmental sensor is reduced; and meanwhile, the labor cost for adjusting the monitoring site can be reduced.
In summary, the mobile monitoring robot is used for collecting the environmental parameters, more monitoring sites can be added, the environmental parameters can be collected more comprehensively, and meanwhile, the environmental parameters collected by the mobile monitoring robot can be calibrated, so that the environmental monitoring data can be obtained more accurately, and the environmental conditions in a data center machine room can be reflected more accurately.
In this embodiment, the mobile monitoring robot includes a control module, a wireless communication module, and a gas detection module (the gas detection module includes one or more of a sulfur dioxide sensor, a nitrogen dioxide sensor, a carbon monoxide sensor, and a nitrogen monoxide sensor), a noise detection module, a temperature sensor, a humidity sensor, and a PM2.5 sensor, and the control module is connected to the wireless communication module, the gas detection module, the noise detection module, the temperature sensor, the humidity sensor, and the PM2.5 sensor. The mobile monitoring robot can be used for detecting the temperature of a machine room, the air humidity, the environmental noise, dust and various pollution gas information.
In this embodiment, the mobile monitoring robot further includes a driving module and a laser navigation positioning module, and the control module is connected with the driving module and the laser navigation positioning module. The driving module is used for driving the mobile monitoring robot to move, the laser navigation positioning module is used for enabling the mobile monitoring robot to carry a laser radar to scan a map in the data center machine room, and when the mobile monitoring robot moves in the data center machine room according to a specified track, the position of each point reached by the robot can be obtained by the laser radar; and comparing the received signal reflected from the target with the transmitted signal to obtain the related information of the target, thereby detecting and identifying the target.
It should be noted that the laser navigation positioning module can help the robot to autonomously cope with complex and unknown environments, so that the robot has fine environment sensing capability. Specifically, the laser navigation positioning module accurately positions the position of the robot by utilizing the non-divergence of laser to guide the robot to walk. The laser navigation positioning module has the following beneficial effects: the positioning is accurate; the running path is flexible and changeable, and can be suitable for various field environments; the volume is small and flexible, which is beneficial to reducing the volume of the mobile monitoring robot so as to lay paths; the sound and light are not interfered, and the communication is easy to control.
The endurance of the mobile monitoring robot directly influences all-weather environment monitoring of the fault monitoring system of the IDC on the data center machine room, and in this way, the invention adopts two schemes to ensure the endurance of the mobile monitoring robot;
firstly, the fault monitoring system of IDC uses 2 mobile monitoring robots at least, and each mobile monitoring robot needs to charge after the monitoring task is executed, and a plurality of mobile monitoring robots are used in turn. Of course, the battery of the mobile monitoring robot must be selected to be at least capable of satisfying the requirement that the mobile monitoring robot completely performs the monitoring task once.
Second, reduce the electric energy consumption of the mobile monitoring robot. It should be noted that, since the mobile monitoring robot is integrated with the main controller, the various detection modules and the wireless communication module, a large amount of electric energy is consumed. In addition, in order to meet the transmission requirement of large-flow detection data, a high-speed broadband wireless communication mode is adopted by the general wireless communication module, and a large amount of electric energy is consumed by the high-speed broadband wireless communication mode.
Therefore, the control module of the embodiment comprises a main controller and a microcontroller, and the wireless communication module comprises a WIFI module and an NB-IoT module; the main controller is connected with the microcontroller, the WIFI module, the gas detection module, the noise detection module, the temperature sensor, the humidity sensor and the PM2.5 sensor, and the microcontroller is connected with the NB-IoT module, the laser navigation positioning module and the driving module;
wherein,
when the mobile monitoring robot is in a standby mode, the main controller and the microcontroller are both in a sleep mode;
after the mobile monitoring robot receives a monitoring task starting instruction through the microcontroller, keeping the microcontroller in a normal working mode, starting the laser navigation positioning module and the driving module to enable the mobile monitoring robot to start moving according to a path appointed by the background server, and keeping the main controller in a sleep mode at the moment;
when the mobile monitoring robot reaches a point to be monitored (a second preset site or equipment to be monitored), waking up the main controller through the microcontroller to enable the main controller to be in a normal working mode and starting a WIFI module, a gas detection module, a noise detection module, a temperature sensor, a humidity sensor and a PM2.5 sensor;
after the monitoring task of one point to be monitored (a second preset point or equipment to be monitored) is finished, the main controller sends the finishing information of the monitoring task to the microcontroller, and then automatically enters a sleep mode to wait for being awakened next time;
after all the monitoring tasks of the points to be monitored (the second preset point or the equipment to be monitored) are executed, the microcontroller sends monitoring task execution completion information to the background server through the NB-IoT module, and then automatically enters a sleep mode to wait for receiving a next monitoring task starting instruction.
It should be noted that the number of the substrates,
the WIFI module can provide information quantity and efficiency required by mobile monitoring robot communication, realizes a wireless connection function of high-speed transmission detection data, and is low in cost.
The microcontroller is of the type MAX32652 and has the function of a low-power-consumption and expandable memory. As IoT devices become more intelligent, systems begin to require more memory and additional embedded processors, which are expensive and power hungry. MAX32652 provides an alternative for the designer to make full use of the low power consumption of embedded microcontrollers and the powerful processing power of application processors. The MAX32652 chip integrates the 3MB flash memory and the 1MB SRAM, the working frequency is up to 120 MHz, a highly integrated solution is provided for the IoT device, and higher processing capability and intelligent management can be realized. Integrated high-speed peripherals such as high-speed USB 2.0, secure Digital (SD) memory cards and controllers, thin Film Transistor (TFT) displays, and complete security engines operate with very low power consumption. In addition, the device can execute code from external memory through hyper bus or xcellubus, providing a scalable memory architecture for the designer.
The NB-IoT module is a wireless communication module based on narrowband internet of things (Narrow Band Internet of Things, NB-IoT) technology. The NB-IoT is built in the cellular network, consumes only about 180kHz bandwidth, and can be directly deployed in the GSM network, the UMTS network or the LTE network, so that the deployment cost is reduced, and smooth upgrading is realized. Compared with the short-distance communication technologies such as Bluetooth and ZigBee, the mobile cellular network has the characteristics of wide coverage, mobility, large connection number and the like, and can bring about richer application scenes. NB-IoT has the characteristics of wide coverage, many connections, low rate, low cost, low power consumption, etc.
In the above scheme, the embodiment uses the advantage of high-speed data transmission of the WIFI module and the advantage of ultra-low power consumption of the NB-IoT module, adjusts the working modes of the main controller and the microcontroller according to the monitoring task of the mobile monitoring robot, selectively opens or closes the corresponding control module, the wireless communication module and the detection module, realizes full utilization of battery electric energy, reduces the requirement on battery capacity, and thereby improves the cruising duration of the mobile monitoring robot.
In this embodiment, the mobile monitoring robot further includes a storage module and a data reading module, where the storage module is connected to the main controller and the data reading module. The data reading device is used for reading environment parameters acquired by various sensors stored in the storage module. The data reading interface of the data reading device is a USB interface, and the USB has the characteristics of convenience in use, high transmission rate, low power consumption, stable performance, and support and flexibility of an operating system.
In this embodiment, the mobile monitoring robot further includes a display module, and the display module is connected to the control module. The display module is a touch screen, the touch screen is an induction type liquid crystal display device capable of receiving input signals such as contacts, when the touch screen contacts graphic buttons on the screen, the touch feedback system on the screen can drive various connecting devices according to a preprogrammed program, and the touch screen can be used for replacing a mechanical button panel and producing vivid video and audio effects by means of a liquid crystal display picture. The touch screen has the advantages of convenience, intuitiveness, clear images, firmness, durability, space saving and the like, a user can operate and inquire the mobile monitoring robot only by lightly touching icons or characters on the display screen of the mobile monitoring robot by hands, and the keyboard and mouse operations are eliminated, so that the operability and the safety of the mobile monitoring robot are greatly improved, and the man-machine interaction is more direct.
In this embodiment, the mobile monitoring robot further includes an image acquisition module and an image processing module, where the image acquisition module is connected to the main controller through the image processing module; the method has the advantages that firstly, a worker can acquire the environmental image information in the monitoring range of the robot through the image acquired by the image acquisition module while acquiring the environmental parameter information, so that the worker can combine the environmental image information with the environmental parameter information to further acquire the environmental condition monitored by the robot; secondly, the image acquisition module can shoot a space scene around the mobile monitoring robot, extract obstacles (such as a cabinet, equipment, a wall, furniture and the like in a machine room) from the space scene, measure the distance between the point of the mobile monitoring robot and the surrounding obstacles, and extract the spatial distribution characteristics of the space local area where the mobile monitoring robot is located, so that the background server controls the robot to move according to the acquired image information of the surrounding environment of the mobile monitoring robot, and collision obstacles are avoided.
It is emphasized that the image acquisition module is also used for acquiring the picture of the backboard where the indicator lamp of the equipment to be monitored is located and the serial number of the equipment to be monitored. Further, the mobile monitoring robot is provided with a lifting mechanism, the image acquisition module is arranged on the lifting mechanism, and the purpose defined herein is that the lifting mechanism enables the image acquisition module to acquire pictures and videos of different heights.
In this embodiment, the fault monitoring system further includes: and the background server controls the working state of the machine room environment adjusting device according to the expected environment target and the environment monitoring data. Wherein, control the operating condition of computer lab environmental conditioning equipment includes: issuing an instruction to a machine room environment adjusting device installed in a machine room, wherein the instruction specifically comprises: the machine room environment adjusting devices are started/shut down, and the working modes of the machine room environment adjusting devices are switched.
The fault monitoring method of the IDC is applied to the fault monitoring system of the IDC, and comprises the following steps:
collecting environmental parameters at a first preset site through the fixed detection terminal and uploading the environmental parameters to a background server;
collecting environmental parameters at a second preset site through the mobile monitoring robot and uploading the environmental parameters to a background server;
according to the environmental parameters at the first preset position, obtaining environmental parameters at a second preset position through an inverse distance weighted interpolation algorithm, using the environmental parameters as calibration parameters, calibrating the environmental parameters at the second preset position uploaded by the mobile monitoring robot by using the calibration parameters, generating environmental monitoring data according to the calibrated environmental parameters at the second preset position, and then sending the environmental monitoring data to the client;
and receiving, processing and displaying the environment monitoring data sent by the background server through the client.
The fault monitoring method of IDC has the beneficial effects that:
compared with the prior art, the invention collects the environmental parameters by the mobile monitoring robot, can increase the density of the monitoring sites and collect the environmental parameters more comprehensively, thereby obtaining the environmental monitoring data more accurately and reflecting the environmental conditions in the data center machine room more accurately. According to the invention, based on the environmental parameters acquired by the fixed detection terminal, the calibration parameters at the second preset site are calculated through an inverse distance weighted interpolation algorithm; and the environmental parameters acquired by the mobile monitoring robot are calibrated by using the calibration parameters, so that the accuracy of environmental monitoring data in the machine room can be further improved. When the monitoring site needs to be adjusted, the environment sensor on the original monitoring site needs to be detached manually in the prior art and then is installed on a new monitoring site; the disassembly process is prone to damage to the environmental sensor. The invention only needs to adjust the stay position of the mobile monitoring robot (the stay position of the mobile monitoring robot is the position of the second preset site, the path of the mobile monitoring robot can be provided with a plurality of second preset sites, the specific path and the number of the monitoring sites are controlled by the background server), and the environmental sensor is not required to be disassembled, so that the damage of the environmental sensor is reduced; and meanwhile, the labor cost for adjusting the monitoring site can be reduced.
The above embodiments are merely illustrative of the preferred embodiments of the present invention and are not intended to limit the scope of the present invention, and various modifications and improvements made by those skilled in the art to the technical solution of the present invention should fall within the scope of protection defined by the claims of the present invention without departing from the spirit of the design of the present invention.
Claims (10)
1. A fault monitoring system for an IDC, comprising: a mobile monitoring robot, a fixed detection terminal and a background server,
in the course of the fault monitoring process,
the mobile monitoring robot obtains a picture of a backboard where the equipment indicator lamp to be monitored is located, judges the on-off condition of the fault indicator lamp according to the picture, obtains the equipment number to be monitored if the fault indicator lamp is on, generates a fault message carrying the equipment number to be monitored, and uploads the fault message to the background server;
the background server pushes the fault message to operation and maintenance personnel;
in the course of the environmental monitoring process,
the fixed detection terminals are distributed on a first preset position in the space of the data center machine room and are used for collecting environmental parameters at the first preset position and uploading the environmental parameters to the background server;
the mobile monitoring robot moves according to a path appointed by the background server, stays for a certain time and collects environmental parameters of a second preset site when the second preset site is reached, and then uploads the collected environmental parameters to the background server;
the background server obtains the environmental parameter at the second preset site through an inverse distance weighted interpolation algorithm according to the environmental parameter at the first preset site, takes the environmental parameter as a calibration parameter, calibrates the environmental parameter at the second preset site uploaded by the mobile monitoring robot by using the calibration parameter, and generates environmental monitoring data according to the calibrated environmental parameter at the second preset site; the first preset site and the second preset site jointly form all environment monitoring points in the data center machine room space.
2. The IDC fault monitoring system of claim 1, wherein the mobile monitoring robot comprises a control module, an image acquisition module, and an image processing module, the image acquisition module being connected to the control module by the image processing module;
the mobile monitoring robot is provided with a lifting mechanism, and the image acquisition module is arranged on the lifting mechanism.
3. The IDC fault monitoring system of claim 2 wherein the mobile monitoring robot further comprises a wireless communication module, a gas detection module, a noise detection module, a temperature sensor, a humidity sensor, and a PM2.5 sensor, the control module being coupled to the wireless communication module, the gas detection module, the noise detection module, the temperature sensor, the humidity sensor, and the PM2.5 sensor.
4. The IDC fault monitoring system of claim 3, wherein the mobile monitoring robot further comprises a drive module and a laser navigation positioning module, the control module being coupled to the drive module and the laser navigation positioning module.
5. The IDC fault monitoring system of claim 4, wherein the control module comprises a master controller and a microcontroller, the wireless communication module comprising a WIFI module and an NB-IoT module; the main controller is connected with the microcontroller, the WIFI module, the gas detection module, the noise detection module, the temperature sensor, the humidity sensor and the PM2.5 sensor, and the microcontroller is connected with the NB-IoT module, the laser navigation positioning module and the driving module;
wherein,
when the mobile monitoring robot is in a standby mode, the main controller and the microcontroller are both in a sleep mode;
after the mobile monitoring robot receives a monitoring task starting instruction through the microcontroller, keeping the microcontroller in a normal working mode, starting the laser navigation positioning module and the driving module to enable the mobile monitoring robot to start moving according to a path appointed by the background server, and keeping the main controller in a sleep mode at the moment;
when the mobile monitoring robot reaches a point to be monitored, waking up the main controller through the microcontroller to enable the main controller to be in a normal working mode;
after the execution of the monitoring task of one point to be monitored is finished, the main controller sends the information of the completion of the execution of the monitoring task to the microcontroller, and then the microcontroller automatically enters a sleep mode to wait for the next awakening;
after all the monitoring tasks of the points to be monitored are executed, the microcontroller sends monitoring task execution completion information to the background server through the NB-IoT module, and then automatically enters a sleep mode to wait for receiving a next monitoring task starting instruction.
6. The IDC fault monitoring system of claim 5, wherein the mobile monitoring robot further comprises a storage module and a data reading module, the storage module being connected to the master controller and the data reading module.
7. The IDC fault monitoring system of claim 6, wherein the mobile monitoring robot further comprises a display module, the display module being coupled to the control module.
8. The IDC fault monitoring system according to claim 1, wherein the determining, based on the picture, a condition that the fault indicator is on or off comprises:
and carrying out color recognition on the picture, and determining the red indicator lamp as a fault indicator lamp based on a recognition result.
9. The IDC fault monitoring system of claim 8, wherein the determining the on/off condition of the fault indicator lamp according to the picture further comprises:
performing histogram transformation on the area where the fault indicator lamp is located, and comparing the proportion of dark pixels in the area where the histogram transformation is performed with preset super parameters;
if the proportion of the dark pixels exceeds a preset super parameter, the current state of the fault indicator lamp is dark;
and if the proportion of the dark pixels does not exceed the preset super-parameters, the current state of the fault indicator lamp is on.
10. A fault monitoring method of an IDC, characterized in that the fault monitoring method of an IDC is applied to a fault monitoring system of an IDC according to any one of claims 1 to 9, the fault monitoring method of an IDC comprising the steps of:
acquiring a picture of a backboard where an indicator light of equipment to be monitored is located;
judging the on-off condition of the fault indicator lamp according to the picture,
if the fault indicator lights are on, the equipment numbers to be monitored are obtained, fault messages carrying the equipment numbers to be monitored are generated, and the fault messages are uploaded to the background server.
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| CN115271552A (en) * | 2022-09-26 | 2022-11-01 | 北京艾瑞信系统工程技术有限责任公司 | Intelligent data center inspection system |
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| CN110460782B (en) * | 2019-08-28 | 2021-07-20 | 北京海益同展信息科技有限公司 | Information acquisition device, method, inspection robot and storage medium |
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| CN112207846A (en) * | 2020-12-08 | 2021-01-12 | 北京蒙帕信创科技有限公司 | Liftable intelligent inspection robot system for machine room and inspection method |
| CN115271552A (en) * | 2022-09-26 | 2022-11-01 | 北京艾瑞信系统工程技术有限责任公司 | Intelligent data center inspection system |
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