CN110262323B - Machine room monitoring method and equipment - Google Patents
Machine room monitoring method and equipment Download PDFInfo
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- CN110262323B CN110262323B CN201910483420.2A CN201910483420A CN110262323B CN 110262323 B CN110262323 B CN 110262323B CN 201910483420 A CN201910483420 A CN 201910483420A CN 110262323 B CN110262323 B CN 110262323B
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0423—Input/output
- G05B19/0425—Safety, monitoring
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B19/00—Alarms responsive to two or more different undesired or abnormal conditions, e.g. burglary and fire, abnormal temperature and abnormal rate of flow
- G08B19/005—Alarms responsive to two or more different undesired or abnormal conditions, e.g. burglary and fire, abnormal temperature and abnormal rate of flow combined burglary and fire alarm systems
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
- G08B25/08—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using communication transmission lines
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/188—Capturing isolated or intermittent images triggered by the occurrence of a predetermined event, e.g. an object reaching a predetermined position
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Abstract
The embodiment of the invention provides a machine room monitoring method and equipment, which are applied to a monitoring system comprising a temperature sensing assembly, a vibration sensor, a camera, a processor and a cloud server, wherein the temperature sensing assembly, the vibration sensor, the camera and the processor are arranged in each machine room; the processor is connected with a temperature sensing assembly, a vibration sensor and a camera in the same machine room. Realized the automatic control of accidents such as conflagration and theft of computer lab, and earlier respond to with the vibration inductor based on temperature sensing subassembly, only when confirming unusually based on this, just start the camera and monitor, and combine the image data that the camera obtained to upload to the high in the clouds server and carry out the early warning, realized the automatic control to the computer lab promptly, the transmission of data volume has still been reduced simultaneously and the consumption of whole equipment has been reduced, and when reporting to the police, be in the needs that prevent the diffusion, also put into the warning computer lab with adjacent other computer labs, the diffusion of the emergence accident condition such as conflagration has been avoided as far as possible.
Description
Technical Field
The invention relates to the field of machine rooms, in particular to a machine room monitoring method and device.
Background
At present, with the continuous development of social economy, more and more computer rooms are provided, and communication equipment in the computer rooms is expensive, so that the stable operation of the computer rooms is very important, and once an accident occurs in the computer rooms, direct economic loss is huge due to the equipment in the computer rooms.
However, an accident in the machine room is generally a fire hazard because the electronic devices in the machine room are densely arranged, the pipelines and the like in the machine room are many, and a large amount of electricity is used, so that the fire hazard is easily caused by aging and overheating of electronic components and a breakdown effect caused by aging and overheating of the electronic components due to long-term operation.
The machine room is generally arranged in an unattended place, actual conditions cannot be timely and effectively mastered by monitoring in a manual mode, and rescue opportunities of the machine room are easily delayed.
Therefore, a more effective machine room monitoring scheme is currently awaited.
Disclosure of Invention
In order to solve the technical problems, the invention provides a machine room monitoring method and equipment, which realize accidental automatic monitoring of a machine room such as fire and theft, and the like.
Specifically, the present invention proposes the following specific examples:
the embodiment of the invention provides a machine room monitoring method which is applied to a monitoring system comprising a temperature sensing assembly, a vibration sensor, a camera, a processor and a cloud server, wherein the temperature sensing assembly, the vibration sensor, the camera and the processor are arranged in each machine room; the processor is connected with a temperature sensing assembly, a vibration sensor and a camera in the same machine room; the method comprises the following steps:
aiming at each machine room, acquiring monitoring data uploaded by a temperature sensor and a vibration sensor at regular time through a processor in the machine room;
judging whether the monitoring data meet a preset abnormal condition or not through the processor;
if the judgment result is yes, starting the camera to acquire image data in the machine room;
judging whether the image is abnormal or not by comparing the image data with preset normal image data through the processor;
if the judgment result is yes, synthesizing the image data, the monitoring data and the position information of the machine room to generate alarm data, and uploading the alarm data to a cloud server;
the cloud server determines other machine rooms adjacent to the machine room based on the alarm data, and the machine room and the other machine rooms are classified as alarm machine rooms so as to execute a preset alarm processing flow; the cloud server stores position information of each machine room.
In a particular embodiment, further comprising; generating a monitoring flow for monitoring the alarm processing flow while listing the machine room and the other machine rooms as alarm machine rooms to execute a preset alarm processing flow;
and generating warning information when the monitoring process meets the preset conditions.
In a specific embodiment, the preset normal image data is obtained by shooting an area where the image data is displayed with a camera which acquires the image data under the condition that the image data is determined to be normal artificially.
In a specific embodiment, the method further comprises:
and if the monitoring data do not accord with the preset abnormal condition, correlating the monitoring data with the acquisition time of the monitoring data and then storing the monitoring data in a database of the processor.
In a specific embodiment, the method further comprises:
and deleting the monitoring data of which the time difference between the acquired time and the current time exceeds a preset value in the database through the processor.
In a specific embodiment, the preset abnormal condition includes: temperature anomaly, vibration anomaly;
the monitoring data includes: temperature value, vibration value;
the step of determining whether the monitoring data meets a preset abnormal condition through the processor includes:
determining, by the processor, whether the temperature value exceeds the temperature outlier; or whether the vibration value exceeds the vibration anomaly value;
if the judgment result is yes, determining that the monitoring data conforms to a preset abnormal condition;
and if the judgment result is negative, determining that the monitoring data does not accord with the preset abnormal condition.
In a specific embodiment, the temperature outlier comprises a plurality of values, and the values of the temperature outliers are different; the vibration abnormal value also comprises a plurality of vibration abnormal values, and the numerical value of each vibration abnormal value is different;
the step of determining whether the monitoring data meets a preset abnormal condition through the processor includes:
judging whether the temperature value exceeds the temperature abnormal value with the maximum value or not by the processor; or whether the vibration value exceeds the vibration abnormal value with the largest value;
if the judgment result is yes, determining that the monitoring data conforms to a preset abnormal condition;
and if the judgment result is negative, determining that the monitoring data does not accord with the preset abnormal condition.
In a specific embodiment, different temperature abnormal intervals are formed by adjacent temperature abnormal values with different values; different vibration abnormal intervals are formed by adjacent vibration abnormal values with different numerical values; the method further comprises the following steps:
when the monitoring data are determined not to accord with the preset abnormal condition, judging whether the temperature value is in a temperature abnormal interval or not, or judging whether the vibration value is in a vibration abnormal interval or not;
if the judgment result is yes, adjusting the detection frequency of the temperature sensing assembly according to the temperature abnormal interval where the temperature value is located; and/or
Adjusting the detection frequency of the vibration sensor according to the vibration abnormal interval where the vibration value is located; the detection frequency is higher when the numerical values corresponding to the temperature abnormal interval and the vibration abnormal interval are higher.
The embodiment of the invention also provides machine room monitoring equipment which is applied to a monitoring system comprising a temperature sensing assembly, a vibration sensor, a camera, a processor and a cloud server, wherein the temperature sensing assembly, the vibration sensor, the camera and the processor are arranged in each machine room; the processor is connected with a temperature sensing assembly, a vibration sensor and a camera in the same machine room; the apparatus comprises:
the acquisition module is used for acquiring monitoring data which are uploaded by the temperature sensor and the vibration sensor at regular time through a processor in each machine room;
the judging module is used for judging whether the monitoring data meet the preset abnormal condition or not through the processor;
the starting module is used for starting the camera to acquire image data in the machine room when the judgment result is yes;
the image judging module is used for judging whether the image is abnormal or not in a mode of comparing the image data with preset normal image data through the processor;
the uploading module is used for integrating the image data, the monitoring data and the position information of the machine room to generate alarm data and uploading the alarm data to a cloud server when the judgment result is yes;
the alarm module is used for determining other machine rooms adjacent to the machine room through the cloud server based on the alarm data, and listing the machine room and the other machine rooms as alarm machine rooms to execute a preset alarm processing flow; the cloud server stores position information of each machine room.
In a specific embodiment, the method further comprises the following steps:
the monitoring module is used for generating a monitoring flow for monitoring the alarm processing flow while the machine room and the other machine rooms are listed as alarm machine rooms so as to execute a preset alarm processing flow;
and generating warning information when the monitoring process meets the preset conditions.
Therefore, the embodiment of the invention provides a machine room monitoring method and equipment, which are applied to a monitoring system comprising a temperature sensing component, a vibration sensor, a camera, a processor and a cloud server, wherein the temperature sensing component, the vibration sensor, the camera and the processor are arranged in each machine room; the processor is connected with a temperature sensing assembly, a vibration sensor and a camera in the same machine room; the method comprises the following steps: aiming at each machine room, acquiring monitoring data uploaded by a temperature sensor and a vibration sensor at regular time through a processor in the machine room; judging whether the monitoring data meet a preset abnormal condition or not through the processor; if the judgment result is yes, starting the camera to acquire image data in the machine room; judging whether the image is abnormal or not by comparing the image data with preset normal image data through the processor; if the judgment result is yes, synthesizing the image data, the monitoring data and the position information of the machine room to generate alarm data, and uploading the alarm data to a cloud server; the cloud server determines other machine rooms adjacent to the machine room based on the alarm data, and the machine room and the other machine rooms are classified as alarm machine rooms so as to execute a preset alarm processing flow; the cloud server stores position information of each machine room. Realized the automatic control of accidents such as conflagration and theft of computer lab, and earlier respond to with the vibration inductor based on temperature sensing subassembly, only when confirming unusually based on this, just start the camera and monitor, and combine the image data that the camera obtained to upload to the high in the clouds server and carry out the early warning, realized the automatic control to the computer lab promptly, the transmission of data volume has still been reduced simultaneously and the consumption of whole equipment has been reduced, and when reporting to the police, be in the needs that prevent the diffusion, also put into the warning computer lab with adjacent other computer labs, the diffusion of the emergence accident condition such as conflagration has been avoided as far as possible.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a schematic flow chart of a machine room monitoring method according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a monitoring system according to a method for monitoring a machine room provided in an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a machine room monitoring device according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a machine room monitoring device according to an embodiment of the present invention.
Detailed Description
Various embodiments of the present disclosure will be described more fully hereinafter. The present disclosure is capable of various embodiments and of modifications and variations therein. However, it should be understood that: there is no intention to limit the various embodiments of the disclosure to the specific embodiments disclosed herein, but rather, the disclosure is to cover all modifications, equivalents, and/or alternatives falling within the spirit and scope of the various embodiments of the disclosure.
The terminology used in the various embodiments of the present disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the various embodiments of the present disclosure. As used herein, the singular forms are intended to include the plural forms as well, unless the context clearly indicates otherwise. Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the various embodiments of the present disclosure belong. The terms (such as those defined in commonly used dictionaries) should be interpreted as having a meaning that is consistent with their contextual meaning in the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined in various embodiments of the present disclosure.
Example 1
The embodiment 1 of the invention discloses a machine room monitoring method which is applied to a monitoring system comprising a temperature sensing assembly, a vibration sensor, a camera, a processor and a cloud server, wherein the temperature sensing assembly, the vibration sensor, the camera and the processor are arranged in each machine room; the processor is connected with a temperature sensing assembly, a vibration sensor and a camera in the same machine room; the method comprises the following steps:
as shown in fig. 1, the method comprises the steps of:
the specific temperature sensors can be uniformly arranged in the machine room and can also be arranged in key areas, such as the arrangement positions of valuable equipment, and the like, the vibration sensor can be arranged at positions, such as a machine room door, and the like, so as to monitor theft and the like, and can also be arranged in an equipment area in the machine room, so that the stability of the position of the equipment can also be monitored.
102, judging whether the monitoring data meet a preset abnormal condition or not through the processor;
103, if the judgment result is yes, starting the camera to acquire image data in the machine room;
104, judging whether the image is abnormal or not by comparing the image data with preset normal image data through the processor;
specifically, the preset normal image data is obtained by shooting an area displayed by the image data with a camera for acquiring the image data under the condition of artificially determining the normal condition.
Specifically, for example, when a worker is on the front of the machine room and the worker determines that the machine room is normal, one or more images are shot through the camera, the images are preset normal image data, other areas are similar to the preset normal image data, the currently acquired image data are also divided into areas, for example, the front of the machine room is taken as an example, the image data in the same area are called through image recognition to be compared with the preset normal image data, and if the comparison result is that the difference is larger than the preset value, for example, smoke or flame occurs, the image is determined to be abnormal.
106, the cloud server determines other machine rooms adjacent to the machine room based on the alarm data, and the machine room and the other machine rooms are listed as alarm machine rooms to execute a preset alarm processing flow; the cloud server stores position information of each machine room.
Specifically, in consideration of the spread of a fire or the like, it is necessary to perform warning on other rooms around the fire or the like to protect property as much as possible.
Besides, in order to better monitor the alarm processing flow, the method also comprises the following steps; generating a monitoring flow for monitoring the alarm processing flow while listing the machine room and the other machine rooms as alarm machine rooms to execute a preset alarm processing flow;
and generating warning information when the monitoring process meets the preset conditions.
Specifically, in addition to processing the alarm based on the machine room, the processing flow is monitored, for example, the processing time for monitoring the alarm processing flow is too long, or the alarm processing flow is not processed for a long time, and no processing person is allocated, so that warning information can be further generated, thereby reminding and avoiding the detection omission due to errors.
Specifically, as shown in fig. 2, for the structural schematic diagram of the monitoring system that this scheme relates to, under initial state, the camera is in dormant state, in this scheme, unexpected automated monitoring such as conflagration and the theft of computer lab has been realized, specific scheme is based on temperature sensing subassembly and vibration inductor earlier and responds to, only when confirming based on the data that these two devices obtained is unusual, just start the camera and monitor, and combine the image data that the camera obtained to upload to the cloud server and carry out the early warning, realized the automated monitoring to the computer lab promptly, the transmission of data volume has still been reduced simultaneously and the consumption of whole equipment has been reduced.
All data can not be uploaded, all functional modules can not be started to work at the beginning, the data are gradually expanded, only the data meeting the requirements are uploaded, the transmission of the data volume is greatly reduced, and the long-term stable operation of the whole monitoring system is facilitated.
In a specific embodiment, the method further comprises:
and if the monitoring data do not accord with the preset abnormal condition, correlating the monitoring data with the acquisition time of the monitoring data and then storing the monitoring data in a database of the processor.
Specifically, if the monitored data is determined not to meet the preset abnormal condition, the monitored data and the acquisition time are managed and then stored, so that the monitored data can be called when needed subsequently.
In a specific embodiment, to reduce the amount of data stored, the method further comprises:
and deleting the monitoring data of which the time difference between the acquired time and the current time exceeds a preset value in the database through the processor.
Specifically, for example, monitoring data with a time difference exceeding 1 week in the database may be deleted, so that new data can be continuously acquired, and a certain data traceability is reserved.
In a specific embodiment, the preset abnormal condition includes: temperature anomaly, vibration anomaly;
the monitoring data includes: temperature value, vibration value;
the step of determining whether the monitoring data meets a preset abnormal condition through the processor includes:
determining, by the processor, whether the temperature value exceeds the temperature outlier; or whether the vibration value exceeds the vibration anomaly value;
if the judgment result is yes, determining that the monitoring data conforms to a preset abnormal condition;
and if the judgment result is negative, determining that the monitoring data does not accord with the preset abnormal condition.
The specific temperature abnormal value may be set to 60 degrees, for example, and the vibration abnormal value may be set to 10 degrees or the like, for example, as the maximum angle change of the vibration.
The specific temperature value and the vibration value are respectively and independently judged, and if one of the temperature value and the vibration value is abnormal, the judgment result is abnormal.
In a specific embodiment, the temperature outlier comprises a plurality of values, and the values of the temperature outliers are different; the vibration abnormal value also comprises a plurality of vibration abnormal values, and the numerical value of each vibration abnormal value is different;
the step of determining whether the monitoring data meets a preset abnormal condition through the processor includes:
judging whether the temperature value exceeds the temperature abnormal value with the maximum value or not by the processor; or whether the vibration value exceeds the vibration abnormal value with the largest value;
if the judgment result is yes, determining that the monitoring data conforms to a preset abnormal condition;
and if the judgment result is negative, determining that the monitoring data does not accord with the preset abnormal condition.
Specifically, a plurality of temperature abnormal values can be set, a plurality of vibration abnormal values can be set for the same vibration abnormal value, and only when the maximum temperature abnormal value or the maximum vibration value is exceeded, the preset abnormal condition is considered to be met, so that more accurate prediction can be realized
Thus, in a further scheme, different temperature abnormal intervals are formed by adjacent temperature abnormal values with different values; different vibration abnormal intervals are formed by adjacent vibration abnormal values with different numerical values; the method further comprises the following steps:
when the monitoring data are determined not to accord with the preset abnormal condition, judging whether the temperature value is in a temperature abnormal interval or not, or judging whether the vibration value is in a vibration abnormal interval or not;
if the judgment result is yes, adjusting the detection frequency of the temperature sensing assembly according to the temperature abnormal interval where the temperature value is located; and/or
Adjusting the detection frequency of the vibration sensor according to the vibration abnormal interval where the vibration value is located; the detection frequency is higher when the numerical values corresponding to the temperature abnormal interval and the vibration abnormal interval are higher.
Specifically, the temperature is taken as an example for explanation, when the abnormality is not determined, the higher the temperature is, the higher the detection frequency is, and if the subsequent temperature reaches the abnormality, the subsequent temperature can be detected as soon as possible, so that the timeliness of alarming is improved.
Example 2
The embodiment 2 further discloses a machine room monitoring device, which is applied to a monitoring system comprising a temperature sensing assembly, a vibration sensor, a camera, a processor and a cloud server, wherein the temperature sensing assembly, the vibration sensor, the camera and the processor are arranged in each machine room; the processor is connected with a temperature sensing assembly, a vibration sensor and a camera in the same machine room; as shown in fig. 3, the apparatus includes:
the acquisition module 201 is used for acquiring monitoring data which are uploaded by a temperature sensor and a vibration sensor at regular time through a processor in each machine room;
a judging module 202, configured to judge, by the processor, whether the monitoring data meets a preset abnormal condition;
the starting module 203 is used for starting the camera to acquire image data in the machine room when the judgment result is yes;
the image judging module 204 is configured to judge whether the image is abnormal or not by comparing the image data with preset normal image data through the processor;
the uploading module 205 is configured to, when the determination result is yes, synthesize the image data, the monitoring data and the location information of the machine room to generate alarm data, and upload the alarm data to a cloud server;
the alarm module 206 is configured to determine, by the cloud server, other machine rooms adjacent to the machine room based on the alarm data, and list the machine room and the other machine rooms as alarm machine rooms to execute a preset alarm processing procedure; the cloud server stores position information of each machine room.
In a specific embodiment, as shown in fig. 4, the method further includes:
the monitoring module 207 is configured to generate a monitoring flow for monitoring the alarm processing flow while listing the machine room and the other machine rooms as alarm machine rooms to execute a preset alarm processing flow;
and generating warning information when the monitoring process meets the preset conditions.
In a specific embodiment, the preset normal image data is obtained by shooting an area where the image data is displayed with a camera which acquires the image data under the condition that the image data is determined to be normal artificially.
In a specific embodiment, the apparatus further comprises:
and the storage module is used for associating the monitoring data with the acquisition time of the monitoring data and then storing the monitoring data in a database of the processor when the monitoring data does not accord with the preset abnormal condition.
In a specific embodiment, the apparatus further comprises:
and the deleting module is used for deleting the monitoring data of which the time difference between the acquired time and the current time exceeds the preset value in the database through the processor.
In a specific embodiment, the preset abnormal condition includes: temperature anomaly, vibration anomaly;
the monitoring data includes: temperature value, vibration value;
the determining module 202 is configured to:
determining, by the processor, whether the temperature value exceeds the temperature outlier; or whether the vibration value exceeds the vibration anomaly value;
if the judgment result is yes, determining that the monitoring data conforms to a preset abnormal condition;
and if the judgment result is negative, determining that the monitoring data does not accord with the preset abnormal condition.
In a specific embodiment, the temperature outlier comprises a plurality of values, and the values of the temperature outliers are different; the vibration abnormal value also comprises a plurality of vibration abnormal values, and the numerical value of each vibration abnormal value is different;
the determining module 202 is configured to:
judging whether the temperature value exceeds the temperature abnormal value with the maximum value or not by the processor; or whether the vibration value exceeds the vibration abnormal value with the largest value;
if the judgment result is yes, determining that the monitoring data conforms to a preset abnormal condition;
and if the judgment result is negative, determining that the monitoring data does not accord with the preset abnormal condition.
In a specific embodiment, different temperature abnormal intervals are formed by adjacent temperature abnormal values with different values; different vibration abnormal intervals are formed by adjacent vibration abnormal values with different numerical values; the apparatus further comprises:
a processing module to:
when the monitoring data are determined not to accord with the preset abnormal condition, judging whether the temperature value is in a temperature abnormal interval or not, or judging whether the vibration value is in a vibration abnormal interval or not;
if the judgment result is yes, adjusting the detection frequency of the temperature sensing assembly according to the temperature abnormal interval where the temperature value is located; and/or
Adjusting the detection frequency of the vibration sensor according to the vibration abnormal interval where the vibration value is located; the detection frequency is higher when the numerical values corresponding to the temperature abnormal interval and the vibration abnormal interval are higher.
Therefore, the method is applied to a monitoring system comprising a temperature sensing assembly, a vibration sensor, a camera, a processor and a cloud server, wherein the temperature sensing assembly, the vibration sensor, the camera and the processor are arranged in each machine room; the processor is connected with a temperature sensing assembly, a vibration sensor and a camera in the same machine room; the method comprises the following steps: aiming at each machine room, acquiring monitoring data uploaded by a temperature sensor and a vibration sensor at regular time through a processor in the machine room; judging whether the monitoring data meet a preset abnormal condition or not through the processor; if the judgment result is yes, starting the camera to acquire image data in the machine room; judging whether the image is abnormal or not by comparing the image data with preset normal image data through the processor; if the judgment result is yes, synthesizing the image data, the monitoring data and the position information of the machine room to generate alarm data, and uploading the alarm data to a cloud server; the cloud server determines other machine rooms adjacent to the machine room based on the alarm data, and the machine room and the other machine rooms are classified as alarm machine rooms so as to execute a preset alarm processing flow; the cloud server stores position information of each machine room. Realized the automatic control of accidents such as conflagration and theft of computer lab, and earlier respond to with the vibration inductor based on temperature sensing subassembly, only when confirming unusually based on this, just start the camera and monitor, and combine the image data that the camera obtained to upload to the high in the clouds server and carry out the early warning, realized the automatic control to the computer lab promptly, the transmission of data volume has still been reduced simultaneously and the consumption of whole equipment has been reduced, and when reporting to the police, be in the needs that prevent the diffusion, also put into the warning computer lab with adjacent other computer labs, the diffusion of the emergence accident condition such as conflagration has been avoided as far as possible.
Those skilled in the art will appreciate that the figures are merely schematic representations of one preferred implementation scenario and that the blocks or flow diagrams in the figures are not necessarily required to practice the present invention.
Those skilled in the art will appreciate that the modules in the devices in the implementation scenario may be distributed in the devices in the implementation scenario according to the description of the implementation scenario, or may be located in one or more devices different from the present implementation scenario with corresponding changes. The modules of the implementation scenario may be combined into one module, or may be further split into a plurality of sub-modules.
The above-mentioned invention numbers are merely for description and do not represent the merits of the implementation scenarios.
The above disclosure is only a few specific implementation scenarios of the present invention, however, the present invention is not limited thereto, and any variations that can be made by those skilled in the art are intended to fall within the scope of the present invention.
Claims (8)
1. A machine room monitoring method is characterized by being applied to a monitoring system comprising a temperature sensing assembly, a vibration sensor, a camera, a processor and a cloud server, wherein the temperature sensing assembly, the vibration sensor, the camera and the processor are arranged in each machine room; the processor is connected with a temperature sensing assembly, a vibration sensor and a camera in the same machine room; the method comprises the following steps:
aiming at each machine room, acquiring monitoring data uploaded by a temperature sensor and a vibration sensor in the same machine room at regular time through a processor in the machine room;
judging whether the monitoring data meet a preset abnormal condition or not through the processor;
if the judgment result is yes, starting the camera to acquire image data in the machine room;
judging whether the image is abnormal or not by comparing the image data with preset normal image data through the processor;
if the judgment result is yes, synthesizing the image data, the monitoring data and the position information of the machine room to generate alarm data, and uploading the alarm data to a cloud server;
the cloud server determines other machine rooms adjacent to the machine room based on the alarm data, and the machine room and the other machine rooms are classified as alarm machine rooms so as to execute a preset alarm processing flow; the cloud server stores position information of each machine room;
also includes; generating a monitoring flow for monitoring the alarm processing flow while listing the machine room and the other machine rooms as alarm machine rooms to execute a preset alarm processing flow;
and generating warning information when the monitoring process meets the preset conditions.
2. The machine room monitoring method according to claim 1, wherein the preset normal image data is obtained by shooting an area where the image data is displayed with a camera that obtains the image data under a condition that the camera is determined to be normal manually.
3. The machine room monitoring method of claim 1, further comprising:
and if the monitoring data do not accord with the preset abnormal condition, correlating the monitoring data with the acquisition time of the monitoring data and then storing the monitoring data in a database of the processor.
4. A machine room monitoring method as claimed in claim 3, further comprising:
and deleting the monitoring data of which the time difference between the acquired time and the current time exceeds a preset value in the database through the processor.
5. The machine room monitoring method according to claim 1, wherein the predetermined abnormal condition comprises: temperature anomaly, vibration anomaly;
the monitoring data includes: temperature value, vibration value;
the step of determining whether the monitoring data meets a preset abnormal condition through the processor includes:
determining, by the processor, whether the temperature value exceeds the temperature outlier; or whether the vibration value exceeds the vibration anomaly value;
if the judgment result is yes, determining that the monitoring data conforms to a preset abnormal condition;
and if the judgment result is negative, determining that the monitoring data does not accord with the preset abnormal condition.
6. The machine room monitoring method of claim 5, wherein the temperature outliers comprise a plurality of values, each of the temperature outliers having a different value; the vibration abnormal value also comprises a plurality of vibration abnormal values, and the numerical value of each vibration abnormal value is different;
the step of determining whether the monitoring data meets a preset abnormal condition through the processor includes:
judging whether the temperature value exceeds the temperature abnormal value with the maximum value or not by the processor; or whether the vibration value exceeds the vibration abnormal value with the largest value;
if the judgment result is yes, determining that the monitoring data conforms to a preset abnormal condition;
and if the judgment result is negative, determining that the monitoring data does not accord with the preset abnormal condition.
7. The machine room monitoring method according to claim 6, wherein the temperature abnormal values of adjacent different values form different temperature abnormal intervals; different vibration abnormal intervals are formed by adjacent vibration abnormal values with different numerical values; the method further comprises the following steps:
when the monitoring data are determined not to accord with the preset abnormal condition, judging whether the temperature value is in a temperature abnormal interval or not, or judging whether the vibration value is in a vibration abnormal interval or not;
if the judgment result is yes, adjusting the detection frequency of the temperature sensing assembly according to the temperature abnormal interval where the temperature value is located; and/or
Adjusting the detection frequency of the vibration sensor according to the vibration abnormal interval where the vibration value is located; the detection frequency is higher when the numerical values corresponding to the temperature abnormal interval and the vibration abnormal interval are higher.
8. The machine room monitoring equipment is characterized by being applied to a monitoring system comprising a temperature sensing assembly, a vibration sensor, a camera, a processor and a cloud server, wherein the temperature sensing assembly, the vibration sensor, the camera and the processor are arranged in each machine room; the processor is connected with a temperature sensing assembly, a vibration sensor and a camera in the same machine room; the apparatus comprises:
the acquisition module is used for acquiring monitoring data which are uploaded by a temperature sensor and a vibration sensor in the same machine room at regular time through a processor in the machine room aiming at each machine room;
the judging module is used for judging whether the monitoring data meet the preset abnormal condition or not through the processor;
the starting module is used for starting the camera to acquire image data in the machine room when the judgment result is yes;
the image judging module is used for judging whether the image is abnormal or not in a mode of comparing the image data with preset normal image data through the processor;
the uploading module is used for integrating the image data, the monitoring data and the position information of the machine room to generate alarm data and uploading the alarm data to a cloud server when the judgment result is yes;
the alarm module is used for determining other machine rooms adjacent to the machine room through the cloud server based on the alarm data, and listing the machine room and the other machine rooms as alarm machine rooms to execute a preset alarm processing flow; the cloud server stores position information of each machine room;
further comprising:
the monitoring module is used for generating a monitoring flow for monitoring the alarm processing flow while the machine room and the other machine rooms are listed as alarm machine rooms so as to execute a preset alarm processing flow;
and generating warning information when the monitoring process meets the preset conditions.
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| CN111240943B (en) * | 2020-04-28 | 2020-08-21 | 成都派沃特科技股份有限公司 | Method, device and equipment for monitoring temperature of machine room and storage medium |
| CN112044006A (en) * | 2020-08-28 | 2020-12-08 | 深圳市富思源智慧消防股份有限公司 | Monitoring fire-fighting system for building |
| CN113704066A (en) * | 2021-09-03 | 2021-11-26 | 广东启信数据服务有限公司 | Machine room equipment monitoring and management method, storage medium and system |
| CN116668859B (en) * | 2023-07-31 | 2023-11-14 | 深圳市汇龙净化技术有限公司 | GIS equipment computer lab environment monitoring device |
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