A kind of computer room temperature monitoring method
Technical field
The present invention relates to room environment monitoring technical field, especially a kind of computer room temperature monitoring method.
Background technique
As the rapid development of informationization technology is the need of Safeguard Informatization Establishment with the gradually release of smart city
It wants, needs to establish a large amount of central machine room, the equipment in computer room becomes the necessary support of informatization, if calculator room equipment is transported
Row is unstable or even failure frequent occurrence, biggish direct and indirect economic loss will be caused, so ensureing calculator room equipment
Stable operation becomes an emphasis of informatization.During calculator room equipment operation, a large amount of heat, temperature mistake can be generated
Height be easy to cause equipment damage, so as to cause direct and indirect economic loss.In traditional processing, only temperature parameter is carried out
Acquisition, but have no intelligentized analysis and management, temperature is excessively high in order to prevent causes damages or always on cooling system
It results in waste of resources or artificial periodic operation cooling system, can not effectively guard against and solve the problems, such as.
Summary of the invention
In view of the above drawbacks of the prior art, it is an object of the invention to provide a kind of computer room temperature monitoring method, energy
A kind of effective early warning mechanism is enough established, when temperature will reach early warning value, issues pre-alert notification.
It is realized the purpose of the present invention is technical solution in this way, a kind of computer room temperature monitoring method, it includes:
Steps are as follows for the computer room temperature monitoring method:
S1: creation monitoring network analysis object;
S2: monitoring system communication object is created for each temperature monitoring node, and monitoring system communication object is ordered
Name operation;
S3: the monitoring section object in monitoring system is defined by region, each monitoring region includes the temperature detection
Node;
S4: the corresponding relationship of the monitoring system communication object and the monitoring section object is established;
S5: each temperature detection node data is obtained by the monitoring system communication object in real time, and is saved in database
In;
S6: database described in analytical procedure S5 judges whether to need to propose alarm or issues pre-alert notification.
Further, it is ZXO that network analysis object is monitored in step S1, and the parameter of acquirement system setting includes: moment system
Number TCX, error deviation amount VC0, alarm index WC, temporal scalability COEFFICIENT K.
Further, the data in database described in step S5 include: record information include: time RecT, temperature C,
Section object number JIOID.
Further, the specific method is as follows for proposition alarm described in step S6 or sending early warning:
S61: setting moment coefficient T CX, guarantee every group of data at least one temperature C value in each monitoring region;Such as
There is no the record in certain region in fruit moment coefficient T CX, then ignores the field when calculating;
S62: obtaining Current Temperatures C1, if C1 is greater than alarm index WC, proposes to alarm, and step terminates, conversely, then continuing
It follows the steps below;
S63: analysis object ZXO take the record data in moment coefficient T CX nearest a cycle, be respectively designated as AR1,
AR2 ... ARN respectively corresponds a record in a monitoring region;The temperature parameter Cc of every record is obtained, if certain note
The Cc value of record is greater than alarm index WC, then proposes to alarm, and step terminates, conversely, then continuing following steps;
S64: each record at the time of searching upper one day synchronization in coefficient T CX, respectively ARD1, ARD2,
... ARDN respectively corresponds a record in a monitoring region;The temperature parameter Cd for obtaining every record, if each monitoring
Always have in region | Cd-Cc | < VC0 is then found in nearest a cycle and coefficient at the time of upper one day, synchronization was close
TCX is denoted as TCX1;
S65: step 6-4 is repeated), coefficient T CX at the time of nearest a cycle is interior and upper one day, synchronization was close is found out,
Be denoted as respectively TCX2, TCX3 ... TCXN;
S66: the TCX for alarm logging occur is searched, and records the time Tc for alarm logging occur;
S67: carrying out classification processing for Tc, i.e., will find the Tc close with synchronization upper one day in nearest a cycle and return
In level-one, then how much divided ranks of middle Tc quantity at different levels are pressed, quantity is at most 1 grade, is secondly 2 grades, until N grades;
S68: early warning report is submitted by grade.
Further, in step S67, when classification processing, the time difference △ T of Tc and TCX record is calculated, in nearest a cycle
± K is not to be exceeded in the difference of the time difference △ T close with synchronization upper one day, and K is temporal scalability coefficient.
Further, region division rule described in step S3 is to be divided into irregular area by calculator room equipment management requirement
Or pressing grid dividing is regular domain.
By adopting the above-described technical solution, the present invention has the advantage that: the present invention is different from traditional temperature and supervises
Survey method, the application introduce genetic-neural network algorithm and area grid algorithm on the basis of data sampling, the logarithm from space-time
According to intellectual analysis has been carried out, so as to timely alarm and predict following data, so that monitoring system itself has
There is intelligence learning function, and each region is organically combined into comprehensive analysis, so, as the time that system uses is longer,
Predicted value is more accurate, so that computer room be helped efficiently to manage cooling system, not only economizes on resources, but also ensures that the safety of calculator room equipment can
It leans on.
Other advantages, target and feature of the invention will be illustrated in the following description to a certain extent, and
And to a certain extent, based on will be apparent to those skilled in the art to investigating hereafter, Huo Zheke
To be instructed from the practice of the present invention.Target and other advantages of the invention can be wanted by following specification and right
Book is sought to be achieved and obtained.
Detailed description of the invention
Detailed description of the invention of the invention is as follows:
Fig. 1 is the structural diagram of the present invention.
Fig. 2 is flow diagram of the invention.
Fig. 3 is moment coefficient T CX record and alarm decision flow chart in nearest a cycle of the invention.
Fig. 4 be lookup of the invention daily in the same time at the time of coefficient T CX flow chart.
Fig. 5 is each moment coefficient T CX time of fire alarming flow chart of lookup of the invention.
Fig. 6 is that Tc of the invention is classified flow chart.
Specific embodiment
Present invention will be further explained below with reference to the attached drawings and examples.
Embodiment 1: as shown in Figures 1 to 6;A kind of computer room temperature monitoring method, it includes: the computer room temperature monitoring
Method and step is as follows:
S1: creation monitoring network analysis object ZXO;
S2: for each temperature monitoring node create a monitoring system communication object, and to monitor system communication object into
Row naming operation;Be respectively designated as STO1, STO2 ... STON;
S3: the monitoring section object in monitoring system is defined by region, each monitoring region includes the temperature detection
Node;Monitoring section object be respectively designated as JFO1, JFO2 ... JFON;Wherein region is divided by calculator room equipment management requirement
Irregular area is regular domain by grid dividing, includes in each region and an only temperature detection node;
S4: the corresponding relationship of the monitoring system communication object and the monitoring section object is established;As STO1 and JFO3,
STO2 is corresponding with JFO5 etc., until completing all one-to-one relationships;
S5: each temperature detection node data is obtained by monitoring system communication object STO1 to the STON in real time, and is protected
It is stored in database;
S6: database described in analytical procedure S5 judges whether to need to propose alarm or issues pre-alert notification.
It is ZXO that network analysis object is monitored in step S1, and the parameter of acquirement system setting includes: moment coefficient T CX, missing
Poor offset VC0, alarm index WC, temporal scalability COEFFICIENT K.
Data in database described in step S5 include: record information includes: time RecT, temperature C, section object
Number JIOID.
The specific method is as follows for proposition alarm described in step S6 or sending early warning:
S61: setting moment coefficient T CX, guarantee every group of data at least one temperature C value in each monitoring region;Such as
There is no the record in certain region in fruit moment coefficient T CX, then ignores the field when calculating;
S62: obtaining Current Temperatures C1, if C1 is greater than alarm index WC, proposes to alarm, and step terminates, conversely, then continuing
It follows the steps below;
S63: analysis object ZXO take the record data in moment coefficient T CX nearest a cycle, be respectively designated as AR1,
AR2 ... ARN respectively corresponds a record in a monitoring region;The temperature parameter Cc of every record is obtained, if certain note
The Cc value of record is greater than alarm index WC, then proposes to alarm, and step terminates, conversely, then continuing following steps;
S64: each record at the time of searching upper one day synchronization in coefficient T CX, respectively ARD1, ARD2,
... ARDN respectively corresponds a record in a monitoring region;The temperature parameter Cd for obtaining every record, if each monitoring
Always have in region | Cd-Cc | < VC0 is then found in nearest a cycle and coefficient at the time of upper one day, synchronization was close
TCX is denoted as TCX1;
S65: step 6-4 is repeated), coefficient T CX at the time of nearest a cycle is interior and upper one day, synchronization was close is found out,
Be denoted as respectively TCX2, TCX3 ... TCXN;
S66: the TCX for alarm logging occur is searched, and records the time Tc for alarm logging occur;
S67: carrying out classification processing for Tc, i.e., will find the Tc close with synchronization upper one day in nearest a cycle and return
In level-one, then how much divided ranks of middle Tc quantity at different levels are pressed, quantity is at most 1 grade, is secondly 2 grades, until N grades;
S68: by grade submit early warning report because 1 grade of quantity is most, 1 grade be most likely to occur alarm when
Between.
In step S67, when classification processing, the time difference △ T of Tc and TCX record is calculated, with upper one in nearest a cycle
± K is not to be exceeded in the difference of the close time difference △ T of its synchronization, and K is temporal scalability coefficient.
As shown in Figure 1, there is 4 monitoring nodes in computer room, be respectively divided to 4 monitoring regions, correspond to JFO1, JFO2,
JFO3,JFO4.Monitoring system establishes 4 communication objects and obtains temperature parameter, 4 communications pair from monitoring node by traffic operation
As being respectively STO1, STO2, STO3, STO4.Intellectual analysis object ZXO carries out intelligence according to the temperature parameter that communication object acquires
Analysis.
System is arranged moment coefficient T CX=2 minutes, error deviation amount VC0=0.2, alarm index WC=60, temporal scalability
COEFFICIENT K=5 minute.
When existing communication object STO2 obtains a record from monitoring region JFO2, intellectual analysis object ZXO presses Fig. 2 process
It is handled.
Intellectual analysis object ZXO obtains the temperature C1 of communication object JFO2 first, if the numerical value of temperature C1 is greater than alarm
The numerical value of coefficient WC, then intellectual analysis object ZXO initiates alarm.If not having alert if, intellectual analysis object ZXO starts
Carry out early warning calculating.
Intellectual analysis object ZXO is obtained the record data in the nearest a cycle of moment coefficient T CX by Fig. 3, is named respectively
For AR1, AR2 ... ARN respectively corresponds one of region record of a monitoring;The temperature parameter Cc of every record is obtained, if
The Cc value of certain record is greater than alarm index WC, then proposes to alarm, and step terminates, no longer progress early warning calculating;Conversely, then by with
Lower step continues early warning calculating.
If do not alarmed in the nearest coefficient T CX period at a moment, intellectual analysis object ZXO continues early warning
Processing.
ZXO searches each day similar TCX in the same time by Fig. 4, be denoted as TCX1, TCX2 ..., TCXN, and by Fig. 5 search from
The alarm logging of TCX1 to TCXN, obtains the time of fire alarming of alarm logging, respectively Tc1, Tc2 ..., TcN.Fig. 6 is pressed again by Tc
Classification processing is carried out, and issues early warning report by the data at different levels that classification obtains.
The invention has the benefit that a kind of effective early warning mechanism can be established, early warning value will be reached in temperature
When, issue pre-alert notification;The present invention is different from traditional temperature monitoring method, and the application introduces on the basis of data sampling
Data have been carried out intellectual analysis from space-time, so as to timely alarm by genetic-neural network algorithm and area grid algorithm
And following data are predicted, so that monitoring system itself has the function of intelligence learning, and each region is organically combined
Get up comprehensive analysis, so, as the time that system uses is longer, predicted value is more accurate, so that computer room be helped efficiently to manage
Cooling system not only economized on resources, but also ensured the safe and reliable of calculator room equipment.
Finally, it is stated that the above examples are only used to illustrate the technical scheme of the present invention and are not limiting, although referring to compared with
Good embodiment describes the invention in detail, those skilled in the art should understand that, it can be to skill of the invention
Art scheme is modified or replaced equivalently, and without departing from the objective and range of the technical program, should all be covered in the present invention
Scope of the claims in.