CN109822597A - A kind of fully-automatic intelligent crusing robot of data center - Google Patents
A kind of fully-automatic intelligent crusing robot of data center Download PDFInfo
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Abstract
The present invention provides a kind of fully-automatic intelligent crusing robots of data center, the fully-automatic intelligent crusing robot integrated configuration has the detection module for different monitoring objects, fully-automatic intelligent crusing robot can synchronously obtain corresponding detection data by the detection module of different function during carrying out inspection inside data center, and can also be to these detection data real-time perfoming calculation processings；And, the fully-automatic intelligent crusing robot can also detection data and data center itself based on the detection module from different function partition information, optimize and adjust corresponding inspection route in real time, and carries out the switching of inspection route according to abnormal conditions that may be present in the current operational process of data center.
Description
Technical field
The present invention relates to the technical field of data center's monitoring, in particular to the fully-automatic intelligent inspections of a kind of data center
Robot.
Background technique
Data center is by computer hardware and software as systemic vectors, with carry out related data information processing and
Storage center.Data center has powerful data processing and data storage function, is widely used in bank client data letter
Multiple and different big data analysis such as breath processing, financial data information processing or the processing of Internet enterprises user data information
In occasion or individual privacy data processing occasion.Data center's operating status it is normal whether be directly related to relevant industries or
The data processing work stability of person enterprise and safety.In general, data center generally includes data processing system and moves
The two important components of Force system；Wherein, data processing system is mutually to be tied with corresponding computer hardware with operational software
Cooperation is carrier to realize that the analysis to different type big data is handled, and dynamical system is then to provide phase for data processing system
The electric power energy answered is supported.Dynamical system provides the stability of electric power energy for data processing system and duration directly affects number
According to the stability that processing system is run, i.e. the superiority and inferiority of dynamical system power itself performance directly affects the running shape of data center
State.Both the data processing system and dynamical system are mutually coordinated, and the core component of data center is collectively constituted.Due in data
The heart comes into being for big data processing and storing, this result in data center no matter in data processing system part or
Dynamical system part is all to have considerably complicated structure, if a certain section failure of data center, this can be in data
The safe operation of the heart brings hidden danger.
In order to guarantee the normal cloud heart of data center, need to obtain the real-time running state information of data center, and it is related
Industry or enterprise can all be equipped with corresponding engineering staff or inside data center install monitoring device come in data
Heart progress can dominate monitoring in real time, can obtain number in time by the inspection of engineering staff or video monitoring equipment in this way
According to the working condition of center different zones, and rapidly abnormal conditions can be arranged when data center is locally abnormal
It looks into and repairs.But above-mentioned monitoring means are all based on artificial monitoring or easy electronic monitoring equipment come what is realized, this makes
The monitored results that must be obtained can not comprehensively and accurately reflect the actual motion state of data center；Also, above-mentioned monitoring
Means are confined to be monitored in terms of image, and in fact, the factor for influencing data center's operating status is various aspects, only
By artificial monitoring or the mode of easy electronic monitoring equipment, required monitored results, Er Qieshang can not be accurately acquired
Stating monitoring means, there is also regular hour hysteresis qualitys.
Summary of the invention
During being monitored to data center's operating status, traditional artificial monitoring or Simple electronic video prison
Control equipment can not be monitored data center from many aspects, not only need to cooperate there are also above-mentioned traditional monitoring means
A large amount of subsequent analysis calculate monitored results that work can just obtain corresponding monitored results, and obtain can not comprehensively, it is quasi-
Really and in real time reflect the operating status of data center, it is seen that above-mentioned traditional monitoring means not only expend a large amount of manpower object
Power, and its monitored results accordingly obtained can not meet corresponding accuracy and requirement of real-time.In addition, data center exists
Will receive numerous internal factors in operational process, perhaps these internal factors of the influence of external factor or external factor usually need
Dedicated equipment is wanted just to be able to achieve monitoring, this requires need to be equipped with a variety of differences during being monitored data center
Special equipment could accurately obtain corresponding monitoring information, and these monitoring informations also need subsequent calculation processing ability
It converts as the identifiable monitored results of people, just to the monitoring device of data center, more stringent requirements are proposed for this.
In view of the defects existing in the prior art, the present invention provides a kind of fully-automatic intelligent crusing robot of data center,
The fully-automatic intelligent crusing robot integrated configuration of the data center has the detection module for different monitoring objects, full-automatic intelligent
Energy crusing robot can synchronously be obtained during carrying out inspection inside data center by the detection module of different function
Corresponding detection data, and can also be to these detection data real-time perfoming calculation processings；In addition, being directed to data center itself
Internal structure complexity, fully-automatic intelligent crusing robot can also be based on the testing number of the detection module from different function
According to the partition information with data center itself, optimizes in real time and adjust corresponding inspection route, and according to data center
Abnormal conditions that may be present carry out the switching of inspection route in current operational process, to guarantee fully-automatic intelligent crusing robot
It can quickly locate and reach data center and be abnormal situation whereabouts, to arrange to be subsequent the abnormal conditions
It looks into and repairs and carry out necessary detection operation.
The present invention provides a kind of fully-automatic intelligent crusing robot of data center, it is characterised in that: the full-automatic intelligent
Energy crusing robot includes main control module, detection module and inspection line adjustment module；Wherein,
The detection module during inspection for obtaining several inspections about the data center at different locations
The partition information of measurement information and acquisition about the data center；
The main control module is generated according to presently described several detection informations and the partition information about the number
According to the current optimization inspection line information in center；
The inspection line adjustment module is according to the optimization inspection line information, to the fully-automatic intelligent survey monitor
The real-time inspection route of device people is adjusted switching；
Further, the detection module includes several equipment detection sub-modules, several internal environment detection sub-modules, positioning
Module and detection information demarcating module；Wherein, several equipment detection sub-modules are for obtaining inside the data center not
The respective running state information of congenerous equipment；Several internal environment detection sub-modules are for obtaining in the data center
The environmental data information in portion；The locating module is for obtaining reality of fully-automatic intelligent crusing robot during inspection
When location information；The detection information demarcating module be used for according to the real-time position information to the running state information and/
Or environmental data information carries out location position operation；The result that the main control module is operated according to the location position is to the number
The distribution of the first region of patrolling and examining is obtained according to region-wide first multidomain treat-ment that carries out at center, to believe as a part of region division
Breath；Or
The detection module includes several sense signals modules and several abnormality judging submodules, wherein the exception shape
The abnormality deterministic process of state judging submodule is as follows:
The abnormality judging submodule is labeled place to each data stored in the exception database of its inside
Reason, wherein the exception database includes P data, and each data includes that robot makes an inspection tour area information, makes an inspection tour area surface
Product value makes an inspection tour regional environment temperature, makes an inspection tour regional environment humidity, make an inspection tour regional environmental noise value, make an inspection tour Altitude above the sea level, patrol
The corresponding N number of numeralization environmental index value of the oxygen content of viewed area surrounding air, the abnormality judging submodule is to each
Data carry out the mark processing, determine the corresponding environmental index value of abnormality occur with this,
Several sense signals modules obtain corresponding N number of numeralization environmental index value under current tour regional environment, and
A matrix B is formed according to N number of numeralization environmental index value, which is the matrix of j row n column, then according to expression
(1) each element of the matrix B is standardized
In above-mentioned expression formula (1), bstFor in matrix B s row t arrange element value, wherein s=1,2 ..., j, t=
1,2 ..., n,For bstThe standardized value obtained after the standardization,It is equal that corresponding element is arranged for t in matrix B
Value, max (bt) it is that t arranges corresponding greatest member value, min (b in matrix bt) it is that t arranges corresponding least member in matrix b
Value, all carries out corresponding standardization for each of matrix B element by above-mentioned formula (1) and is correspondingly formed one with this
New matrix B * then calculates the corresponding covariance of each column in matrix B *, so as to form a new Matrix C ov, wherein
The expression formula of Matrix C ov is as follows
In above-mentioned expression formula (2),For matrix B*In i-th column xth column between covariance, wherein i
=1,2 ..., n, x=1,2 ..., n, the characteristic value and feature vector of Matrix C ov are calculated then according to expression (3)
| Cov- λ E |=0 (3)
In above-mentioned expression formula (3), E is unit matrix, and λ is this feature value, and this feature value λ is then substituted into characteristic equation
Formula calculates corresponding basic course laboratory C with this, then further according to expression (4) calculating matrix B*Middle the first row and other
The degree of association in all rows between any a line
In above-mentioned expression formula (4), ρtFor matrix B*The degree of association between middle the first row and t row, CiBased on solution be C
In i-th of value,For matrix B*Middle the first row i-th arranges corresponding element value,For matrix B*In t row i-th arrange it is corresponding
Element value, wherein i=1,2 ..., n, t=2,3 ..., j, matrix B is calculated according to above-mentioned expression formula (4)*Middle the first row and its
The corresponding all degrees of association of his all rows, and determine the degree of association wherein with maximum value, further according to the pass with maximum value
There is the corresponding environmental index value of abnormality in the determination of connection degree；
Further, the fully-automatic intelligent crusing robot further includes a clock module；Wherein, the clock module is used for
One is generated during several equipment detection sub-modules and/or several internal environment detection sub-modules are detected
Clock information, the detection information demarcating module is also according to the clock information to the running state information and/or the ring
Border data information carries out time calibrating operation；The result that the main control module is operated also according to the time calibrating is to described first
Region of patrolling and examining distribution carries out the second multidomain treat-ment and obtains the distribution of the second region of patrolling and examining, to believe as a part of region division
Breath；
Further, the fully-automatic intelligent crusing robot further includes that subregion inspection coefficients calculation block and subregion patrol
Examine rank determination module；Wherein, the subregion inspection coefficients calculation block is for information and/or institute according to the operation state
It states environmental data information and calculates corresponding several sub- inspection areas in the first region of patrolling and examining distribution or the distribution of the second region of patrolling and examining
The respective inspection coefficient in domain；The subregion inspection rank determination module is used for according to first region of patrolling and examining distribution or second
Corresponding several sub- respective inspection coefficients of region of patrolling and examining in region of patrolling and examining distribution, to first region of patrolling and examining distribution or second
Corresponding several sub- region of patrolling and examining carry out the determination of inspection priority level in region of patrolling and examining distribution, to obtain a part of region
Division information；
Further, the fully-automatic intelligent crusing robot further includes database module；Wherein, the database module is used
In running state information, environmental data information and location information of the storage about the data center；The main control module obtains
The first region of patrolling and examining distribution specifically includes the main control module and obtains several history run shapes from the database module
State information, several history environment data informations and location information, and based on several history run status informations, described several
History environment data information and the location information, building are set about data center's different location region, with different function
Standby and/or data center's internal environment is abnormal the first machine learning algorithm model between situation, then is based on described first
Machine learning algorithm model carries out study analysis to the result of presently described location position operation to obtain first inspection area
Domain distribution；
Further, the fully-automatic intelligent crusing robot further includes database module；Wherein, the database module is used
In storage about the running state information of the data center, environmental data information, location information and clock information；The master control
Module obtains second inspection distribution and specifically includes the main control module obtaining several history fortune from the database module
Row status information, several history environment data informations, location information and clock information, and it is based on several history run states
Information, several history environment data informations, location information and clock information building are about different time sections and different function
Equipment and/or data center's internal environment are abnormal the second machine learning algorithm model between situation, based on described the
Two machine learning algorithm models, result and first region of patrolling and examining distribution to the operation of presently described time calibrating learn
Analysis is to obtain the second region of patrolling and examining distribution；
Further, the sub- inspection coefficients calculation block calculates corresponding several sons in the first region of patrolling and examining distribution and patrols
The inspection respective inspection coefficient in region specifically includes building about data center's different location region and different function equipment
And/or data center's internal environment is abnormal the first machine learning algorithm model between situation, then is based on first machine
Device learning algorithm model carries out study analysis to presently described running state information and/or the environmental data information to obtain
The inspection coefficient；The subregion inspection rank determination module patrols corresponding several sons in first region of patrolling and examining distribution
The determination that inspection region carries out inspection priority level is specifically included based on the first machine learning algorithm model, is patrolled to described first
Several inspection coefficients examined in area distribution carry out study analysis, obtain about several sub-districts in first region of patrolling and examining distribution
The corresponding several probability values of the unusual condition respectively occur for domain, and determine the inspection priority according to several probability values
Not；
Further, the sub- inspection coefficients calculation block calculates corresponding several sons in the second region of patrolling and examining distribution and patrols
The inspection respective inspection coefficient in region specifically includes building about the clock information and different function equipment and/or data center
Internal environment is abnormal the second machine learning algorithm model between situation, then is based on the second machine learning algorithm mould
Type carries out study analysis to presently described running state information and/or the environmental data information to obtain the inspection coefficient；
The subregion inspection rank determination module patrols corresponding several sub- region of patrolling and examining in second region of patrolling and examining distribution
The determination of inspection priority level is specifically included based on the second machine learning algorithm model, in second region of patrolling and examining distribution
Several inspection coefficients carry out study analysis, obtain about second region of patrolling and examining be distributed in several subregions in different time
The corresponding several probability values of the unusual condition respectively occur in section, and determine that the inspection is preferential according to several probability values
Rank；
Further, the detection module includes sound detection submodule, image detection submodule, Temperature and Humidity submodule
Block, odor detection submodule, aerosol concentration detection sub-module, electromagnetic interference signal detection sub-module and infrared detection submodule
At least one of block；Wherein, the sound detection submodule is for obtaining about data center's built-in function equipment
Acoustic information；Described image detection sub-module is used to obtain the still image and/or Dynamic Graph about data center's internal environment
Picture；The Temperature and Humidity submodule is used to obtain the temperature value and/or humidity value of data center's internal environment；The gas
Taste detection sub-module is used to obtain the odiferous information of data center's internal environment；The aerosol concentration detection sub-module
For obtaining the concentration value of suspended particles in data center's internal environment；The electromagnetic interference signal detection sub-module is used for
Obtain electromagnetic interference signal existing for data center's internal environment；The infrared detection submodule is for obtaining about described
The infrared thermal imaging information of function device；
Further, the inspection line adjustment module to the real-time inspection route of the fully-automatic intelligent crusing robot into
Row adjustment switching specifically includes the inspection line adjustment module according to the fully-automatic intelligent crusing robot currently described
Information and the optimization inspection line information the location of inside data center generate one and optimize intermediate switching route letter
Breath, the main control module switch line information according to the optimal centre of changing, and are driven with shortest route distance described full-automatic
Intelligent inspection robot is moved to line inlet indicated by the optimal inspection line information as being presently in position.
Compared with the prior art, the fully-automatic intelligent crusing robot integrated configuration of data center of the invention has for not
With the detection module of monitoring object, fully-automatic intelligent crusing robot carries out to pass through during inspection inside data center
The detection module of different function synchronously obtains corresponding detection data, and can also be to these detection data real-time perfoming meters
Calculation processing；In addition, being directed to the internal structure complexity of data center itself, fully-automatic intelligent crusing robot can also be based on next
From the partition information of the detection data of the detection module of different function and data center itself, optimize and adjust phase in real time
The inspection route answered, and cutting for inspection route is carried out according to abnormal conditions that may be present in the current operational process of data center
It changes, is abnormal situation place to guarantee that fully-automatic intelligent crusing robot can quickly locate and reach data center
Place, so that the abnormal conditions are checked and repaired with the necessary detection operation of progress to be subsequent.
Other features and advantages of the present invention will be illustrated in the following description, also, partly becomes from specification
It obtains it is clear that understand through the implementation of the invention.The objectives and other advantages of the invention can be by written explanation
Specifically noted structure is achieved and obtained in book, claims and attached drawing.
Below by drawings and examples, technical scheme of the present invention will be described in further detail.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 is a kind of structural schematic diagram of the fully-automatic intelligent crusing robot of data center provided by the invention.
Fig. 2 is a kind of knot of detection module in a kind of fully-automatic intelligent crusing robot of data center provided by the invention
Structure schematic diagram.
Fig. 3 is another detection module in a kind of fully-automatic intelligent crusing robot of data center provided by the invention
Structural schematic diagram.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
It refering to fig. 1, is a kind of structure of the fully-automatic intelligent crusing robot of data center provided in an embodiment of the present invention
Schematic diagram.Wherein, the fully-automatic intelligent crusing robot of the data center may include but be not limited to be main control module, detection module
With inspection line adjustment module.
Preferably, the detection module during inspection for obtaining about the data center at different locations several
The partition information of detection information and acquisition about the data center.
Preferably, which generates according to current several detection informations and the partition information about the number
According to the current optimization inspection line information in center.
Preferably, the inspection line adjustment module is according to the optimization inspection line information, to the fully-automatic intelligent inspection
The real-time inspection route of robot is adjusted switching.
Preferably, which may also include but be not limited to several equipment detection sub-modules, the inspection of several internal environments
Survey submodule, locating module and detection information demarcating module；Wherein, several equipment detection sub-modules are for obtaining in the data
The respective running state information of interior portion different function equipment；Several internal environment detection sub-modules are for obtaining in the data
The environmental data information of interior portion；The locating module is for obtaining the reality of fully-automatic intelligent crusing robot during inspection
When location information；The detection information demarcating module is used for according to the real-time position information to the running state information and/or environment
Data information carries out location position operation；The whole district of the result that the main control module is operated according to the location position to the data center
Domain carries out the first multidomain treat-ment and obtains the distribution of the first region of patrolling and examining, using as a part of partition information.
Preferably, which includes several sense signals modules and several abnormality judging submodules, wherein should
The abnormality deterministic process of abnormality judging submodule is as follows:
The abnormality judging submodule is labeled place to each data stored in the exception database of its inside
Reason, wherein the exception database includes P data, and each data includes that robot makes an inspection tour area information, makes an inspection tour area surface
Product value makes an inspection tour regional environment temperature, makes an inspection tour regional environment humidity, make an inspection tour regional environmental noise value, make an inspection tour Altitude above the sea level, patrol
The corresponding N number of numeralization environmental index value of the oxygen content of viewed area surrounding air, the abnormality judging submodule is to each
Data carry out the mark processing, determine the corresponding environmental index value of abnormality occur with this,
Several sense signals modules obtain corresponding N number of numeralization environmental index value under current tour regional environment, and
A matrix B is formed according to N number of numeralization environmental index value, which is the matrix of j row n column, then according to expression
(1) each element of the matrix B is standardized
In above-mentioned expression formula (1), bstFor in matrix B s row t arrange element value, wherein s=1,2 ..., j, t=
1,2 ..., n,For bstThe standardized value obtained after the standardization,It is equal that corresponding element is arranged for t in matrix B
Value, max (bt) it is that t arranges corresponding greatest member value, min (b in matrix bt) it is that t arranges corresponding least member in matrix b
Value, all carries out corresponding standardization for each of matrix B element by above-mentioned formula (1) and is correspondingly formed one with this
New matrix B * then calculates the corresponding covariance of each column in matrix B *, so as to form a new Matrix C ov, wherein
The expression formula of Matrix C ov is as follows
In above-mentioned expression formula (2),For matrix B*In i-th column xth column between covariance, wherein i
=1,2 ..., n, x=1,2 ..., n, the characteristic value and feature vector of Matrix C ov are calculated then according to expression (3)
| Cov- λ E |=0 (3)
In above-mentioned expression formula (3), E is unit matrix, and λ is this feature value, and this feature value λ is then substituted into characteristic equation
Formula calculates corresponding basic course laboratory C with this, then further according to expression (4) calculating matrix B*Middle the first row and other
The degree of association in all rows between any a line
In above-mentioned expression formula (4), ρtFor matrix B*The degree of association between middle the first row and t row, CiBased on solution be C
In i-th of value,For matrix B*Middle the first row i-th arranges corresponding element value,For matrix B*In t row i-th arrange it is corresponding
Element value, wherein i=1,2 ..., n, t=2,3 ..., j, matrix B is calculated according to above-mentioned expression formula (4)*Middle the first row and its
The corresponding all degrees of association of his all rows, and determine the degree of association wherein with maximum value, further according to the pass with maximum value
There is the corresponding environmental index value of abnormality in the determination of connection degree.
Preferably, which may also include a clock module；Wherein, which is used for
Several equipment detection sub-modules and/or several internal environment detection sub-modules generate clock letter during being detected
Breath, the detection information demarcating module also according to the clock information to the running state information and/or the environmental data information into
The operation of row time calibrating；The main control module, which is distributed first region of patrolling and examining also according to the result that the time calibrating operates, to carry out
Second multidomain treat-ment obtains the distribution of the second region of patrolling and examining, using as a part of partition information.
Preferably, which may also include subregion inspection coefficients calculation block and subregion patrols
Examine rank determination module；Wherein, which is used for according to the running state information and/or the environment
It is respective that data information calculates corresponding several sub- region of patrolling and examining in first region of patrolling and examining distribution or the distribution of the second region of patrolling and examining
Inspection coefficient；The subregion inspection rank determination module is used to be distributed according to first region of patrolling and examining distribution or the second region of patrolling and examining
In corresponding several sub- respective inspection coefficients of region of patrolling and examining, to first region of patrolling and examining distribution or the second region of patrolling and examining distribution in
Corresponding several sub- region of patrolling and examining carry out the determination of inspection priority level, to obtain a part of partition information.
Preferably, which may also include database module；Wherein, which is used for
Store the running state information, environmental data information and location information about the data center；The main control module obtain this first
Region of patrolling and examining distribution specifically includes the main control module and obtains several history run status informations, several from the database module
History environment data information and location information, and based on several history run status informations, several history environment data letters
Breath and the location information are constructed about inside data center's different location region and different function equipment and/or data center
Environment is abnormal the first machine learning algorithm model between situation, then is based on the first machine learning algorithm model, to working as
The result of preceding location position operation carries out study analysis to obtain first region of patrolling and examining distribution.
Preferably, which may also include database module；Wherein, which is used for
Storage is about the running state information of the data center, environmental data information, location information and clock information；The main control module obtains
If to second inspection distribution specifically include the main control module obtained from the database module several history run status informations,
Dry history environment data information, location information and clock information, and it is based on several history run status informations, several history
Environmental data information, location information and clock information building are about different time sections and different function equipment and/or data center
Internal environment is abnormal the second machine learning algorithm model between situation, is being based on the second machine learning algorithm model,
Study analysis is carried out to obtain the second inspection area to the result and first region of patrolling and examining distribution of current time calibrating operation
Domain distribution.
Preferably, which calculates corresponding several sub- inspections in the first region of patrolling and examining distribution
The respective inspection coefficient in region may particularly include building about data center's different location region, with different function equipment and/
Or data center's internal environment is abnormal the first machine learning algorithm model between situation, then is based on first machine learning
Algorithm model carries out study analysis to the current running state information and/or the environmental data information to obtain the inspection coefficient；
In addition, the subregion inspection rank determination module patrols corresponding several sub- region of patrolling and examining in first region of patrolling and examining distribution
The determination of inspection priority level may particularly include based on the first machine learning algorithm model, in first region of patrolling and examining distribution
Several inspection coefficients carry out study analysis, obtain that the exception respectively occurs about several subregions in first region of patrolling and examining distribution
The corresponding several probability values of situation, and the inspection priority level is determined according to several probability values.
Preferably, which calculates corresponding several sub- inspection areas in second region of patrolling and examining distribution
The respective inspection coefficient in domain specifically includes building about the clock information and different function equipment and/or data center's inner loop
Border is abnormal the second machine learning algorithm model between situation, then is based on the second machine learning algorithm model, to current
The running state information and/or the environmental data information carry out study analysis to obtain the inspection coefficient；In addition, the subregion patrols
It examines rank determination module and inspection priority level is carried out really to several sub- region of patrolling and examining corresponding in second region of patrolling and examining distribution
Surely may particularly include based on the second machine learning algorithm model, to several inspection coefficients in second region of patrolling and examining distribution into
Row study analysis obtains that the exception respectively occurs in different time period about several subregions in second region of patrolling and examining distribution
The corresponding several probability values of situation, and the inspection priority level is determined according to several probability values.
Preferably, which may also include but be not limited to sound detection submodule, image detection submodule, warm and humid
Spend detection sub-module, odor detection submodule, aerosol concentration detection sub-module, electromagnetic interference signal detection sub-module and red
At least one of outer detection sub-module；Wherein, the sound detection submodule is for obtaining about data center's built-in function
The acoustic information of equipment；The image detection submodule is used to obtain the still image about data center's internal environment and/or moves
State image；The Temperature and Humidity submodule is used to obtain the temperature value and/or humidity value of data center's internal environment；The smell
Detection sub-module is used to obtain the odiferous information of data center's internal environment；The aerosol concentration detection sub-module is for obtaining
Take the concentration value of suspended particles in data center's internal environment；The electromagnetic interference signal detection sub-module is for obtaining the data
Electromagnetic interference signal existing for central interior environment；The infrared detection submodule is used to obtain the infrared heat about the function device
Image-forming information.
Preferably, which carries out the real-time inspection route of the fully-automatic intelligent crusing robot
Adjustment switching may particularly include the inspection line adjustment module according to the fully-automatic intelligent crusing robot currently in the data
The location of interior portion information and the optimization inspection line information generate one and optimize intermediate switching line information, the master
Control module switches line information according to the optimal centre of changing, and drives the fully-automatic intelligent crusing robot with shortest route distance
Line inlet indicated by the optimal inspection line information is moved to as being presently in position.
From above-described embodiment as can be seen that the fully-automatic intelligent crusing robot integrated configuration of the data center has for not
With the detection module of monitoring object, fully-automatic intelligent crusing robot carries out to pass through during inspection inside data center
The detection module of different function synchronously obtains corresponding detection data, and can also be to these detection data real-time perfoming meters
Calculation processing；In addition, being directed to the internal structure complexity of data center itself, fully-automatic intelligent crusing robot can also be based on next
From the partition information of the detection data of the detection module of different function and data center itself, optimize and adjust phase in real time
The inspection route answered, and cutting for inspection route is carried out according to abnormal conditions that may be present in the current operational process of data center
It changes, is abnormal situation place to guarantee that fully-automatic intelligent crusing robot can quickly locate and reach data center
Place, so that the abnormal conditions are checked and repaired with the necessary detection operation of progress to be subsequent.
Obviously, various changes and modifications can be made to the invention without departing from essence of the invention by those skilled in the art
Mind and range.In this way, if these modifications and changes of the present invention belongs to the range of the claims in the present invention and its equivalent technologies
Within, then the present invention is also intended to include these modifications and variations.
Claims (10)
1. a kind of fully-automatic intelligent crusing robot of data center, it is characterised in that: the fully-automatic intelligent crusing robot
Including main control module, detection module and inspection line adjustment module；Wherein,
The detection module during inspection for obtaining several detections letter about the data center at different locations
The partition information of breath and acquisition about the data center；
The main control module is generated according to presently described several detection informations and the partition information about in the data
The current optimization inspection line information of the heart；
The inspection line adjustment module is according to the optimization inspection line information, to the fully-automatic intelligent crusing robot
Real-time inspection route be adjusted switching.
2. the fully-automatic intelligent crusing robot of data center as described in claim 1, it is characterised in that: the detection module
Including several equipment detection sub-modules, several internal environment detection sub-modules, locating module and detection information demarcating module；Its
In, several equipment detection sub-modules are for obtaining the respective operating status letter of different function equipment inside the data center
Breath；Several internal environment detection sub-modules are used to obtain the environmental data information inside the data center；The positioning
Module is for obtaining real-time position information of fully-automatic intelligent crusing robot during inspection；The detection information mark
Cover half block is used to carry out location position to the running state information and/or environmental data information according to the real-time position information
Operation；The result that the main control module is operated according to the location position carries out the first subregion to the region-wide of the data center
Processing obtains the distribution of the first region of patrolling and examining, using as a part of partition information；Or
The detection module includes several sense signals modules and several abnormality judging submodules, wherein
The abnormality deterministic process of the abnormality judging submodule is as follows:
The abnormality judging submodule is labeled processing to each data stored in the exception database of its inside,
Wherein, the exception database includes P data, and each data includes that robot makes an inspection tour area information, makes an inspection tour area surface
Product value makes an inspection tour regional environment temperature, makes an inspection tour regional environment humidity, make an inspection tour regional environmental noise value, make an inspection tour Altitude above the sea level, patrol
The corresponding N number of numeralization environmental index value of the oxygen content of viewed area surrounding air, the abnormality judging submodule is to each
Data carries out the mark processing, determines the corresponding environmental index value of abnormality occur with this,
Several sense signals modules obtain corresponding N number of numeralization environmental index value under current tour regional environment, and root
A matrix B is formed according to N number of numeralization environmental index value, the matrix B is the matrix of j row n column, then according to following expression
Formula (1) is standardized each element of the matrix B
In above-mentioned expression formula (1), bstFor in matrix B s row t arrange element value, wherein s=1,2 ..., j, t=1,
2 ..., n,For bstThe standardized value obtained after the standardization,It is equal that corresponding element is arranged for t in matrix B
Value, max (bt) it is that t arranges corresponding greatest member value, min (b in matrix bt) it is that t arranges corresponding least member in matrix b
Value, all carries out corresponding standardization for each of matrix B element by above-mentioned formula (1) and is correspondingly formed one with this
New matrix B*, then calculate the matrix B*In the corresponding covariance of each column, so as to form a new Matrix C ov, wherein
The expression formula of the Matrix C ov is as follows
In above-mentioned expression formula (2),For matrix B*In i-th column xth column between covariance, wherein i=1,
2 ..., n, x=1,2 ..., n, the characteristic value and feature vector of the Matrix C ov are calculated then according to expression (3)
| Cov- λ E |=0 (3)
In above-mentioned expression formula (3), E is unit matrix, and λ is the characteristic value, and the eigenvalue λ is then substituted into characteristic equation
Formula calculates corresponding basic course laboratory C with this, then further according to expression (4) calculating matrix B*Middle the first row and other
The degree of association in all rows between any a line
In above-mentioned expression formula (4), ρtFor matrix B*The degree of association between middle the first row and t row, CiBased on solution be in C
I-th of value,For matrix B*Middle the first row i-th arranges corresponding element value,For matrix B*In t row i-th arrange corresponding element
Value, wherein i=1,2 ..., n, t=2,3 ..., j, matrix B is calculated according to above-mentioned expression formula (4)*Middle the first row and other institutes
There are the corresponding all degrees of association of row, and determine the degree of association wherein with maximum value, further according to the association with maximum value
There is the corresponding environmental index value of abnormality in degree determination.
3. the fully-automatic intelligent crusing robot of data center as claimed in claim 2, it is characterised in that: the full-automatic intelligent
Energy crusing robot further includes a clock module；Wherein, the clock module be used for several equipment detection sub-modules and/
Or several internal environment detection sub-modules detected during generate a clock information, the detection information calibration mold
Block carries out time calibrating operation to the running state information and/or the environmental data information also according to the clock information；
The main control module, which is distributed first region of patrolling and examining also according to the result that the time calibrating operates, to carry out at the second subregion
Reason obtains the distribution of the second region of patrolling and examining, using as a part of partition information.
4. the fully-automatic intelligent crusing robot of data center as claimed in claim 2 or claim 3, it is characterised in that: it is described it is complete from
Dynamic intelligent inspection robot further includes subregion inspection coefficients calculation block and subregion inspection rank determination module；Wherein, institute
Subregion inspection coefficients calculation block is stated for described in information according to the operation state and/or environmental data information calculating
Corresponding several sub- respective inspection coefficients of region of patrolling and examining in the distribution of first region of patrolling and examining or the distribution of the second region of patrolling and examining；The son
If regional patrol rank determination module is used for according to corresponding in first region of patrolling and examining distribution or the distribution of the second region of patrolling and examining
The respective inspection coefficient of sub- region of patrolling and examining is done, if to corresponding in first region of patrolling and examining distribution or the distribution of the second region of patrolling and examining
The determination that sub- region of patrolling and examining carries out inspection priority level is done, to obtain a part of partition information.
5. the fully-automatic intelligent crusing robot of data center as claimed in claim 2, it is characterised in that: the full-automatic intelligent
Energy crusing robot further includes database module；Wherein, the database module is used to store the fortune about the data center
Row status information, environmental data information and location information；The main control module obtains the specific packet of the first region of patrolling and examining distribution
It includes the main control module and obtains several history run status informations, several history environment data informations from the database module
And location information, and it is based on several history run status informations, several history environment data informations and the position
Information, building occur about data center's different location region, with different function equipment and/or data center's internal environment
The first machine learning algorithm model between unusual condition, then it is based on the first machine learning algorithm model, to presently described
The result of location position operation carries out study analysis to obtain the first region of patrolling and examining distribution.
6. the fully-automatic intelligent crusing robot of data center as claimed in claim 3, it is characterised in that: the full-automatic intelligent
Energy crusing robot further includes database module；Wherein, the database module is used to store the fortune about the data center
Row status information, environmental data information, location information and clock information；The main control module obtains the second inspection distribution tool
Body includes that the main control module obtains several history run status informations, several history environment data from the database module
Information, location information and clock information, and based on several history run status informations, several history environment data letters
Breath, location information and clock information building are sent out about different time sections, with different function equipment and/or data center's internal environment
The second machine learning algorithm model between raw unusual condition is being based on the second machine learning algorithm model, to current institute
The result and first region of patrolling and examining distribution for stating time calibrating operation carry out study analysis to obtain second region of patrolling and examining
Distribution.
7. the fully-automatic intelligent crusing robot of data center as claimed in claim 4, it is characterised in that: the sub- inspection system
Number computing module calculates corresponding several sub- respective inspection coefficients of region of patrolling and examining in the first region of patrolling and examining distribution and specifically wraps
Include building about data center's different location region, with different function equipment and/or data center's internal environment generation it is different
The first machine learning algorithm model between normal situation, then it is based on the first machine learning algorithm model, to presently described fortune
Row status information and/or the environmental data information carry out study analysis to obtain the inspection coefficient；The subregion inspection
Rank determination module carries out inspection priority levels really to several sub- region of patrolling and examining corresponding in first region of patrolling and examining distribution
Surely it specifically includes based on the first machine learning algorithm model, to several inspection coefficients in first region of patrolling and examining distribution
Study analysis is carried out, obtains that the unusual condition correspondence respectively occurs about several subregions in first region of patrolling and examining distribution
Several probability values, and determine the inspection priority level according to several probability values.
8. the fully-automatic intelligent crusing robot of data center as claimed in claim 4, it is characterised in that: the sub- inspection system
Number computing module calculates corresponding several sub- respective inspection coefficients of region of patrolling and examining in the second region of patrolling and examining distribution and specifically wraps
Building is included to be abnormal between situation about the clock information and different function equipment and/or data center's internal environment
Second machine learning algorithm model, then be based on the second machine learning algorithm model, to presently described running state information and/
Or the environmental data information carries out study analysis to obtain the inspection coefficient；The subregion inspection rank determination module pair
The determination that corresponding several sub- region of patrolling and examining carry out inspection priority level in the second region of patrolling and examining distribution, which specifically includes, to be based on
The second machine learning algorithm model carries out study analysis to several inspection coefficients in second region of patrolling and examining distribution,
It obtains that the unusual condition pair respectively occurs in different time period about several subregions in second region of patrolling and examining distribution
Several probability values answered, and the inspection priority level is determined according to several probability values.
9. the fully-automatic intelligent crusing robot of data center as described in claim 1, it is characterised in that: the detection module
It is dense including sound detection submodule, image detection submodule, Temperature and Humidity submodule, odor detection submodule, suspended particles
Spend at least one of detection sub-module, electromagnetic interference signal detection sub-module and infrared detection submodule；Wherein, the sound
Detection sub-module is used to obtain the acoustic information about data center's built-in function equipment；Described image detection sub-module is used
In still image and/or dynamic image of the acquisition about data center's internal environment；The Temperature and Humidity submodule is for obtaining
Take the temperature value and/or humidity value of data center's internal environment；The odor detection submodule is for obtaining the data
The odiferous information of central interior environment；The aerosol concentration detection sub-module is for obtaining data center's internal environment
The concentration value of middle suspended particles；The electromagnetic interference signal detection sub-module exists for obtaining data center's internal environment
Electromagnetic interference signal；The infrared detection submodule is used to obtain the infrared thermal imaging information about the function device.
10. the fully-automatic intelligent crusing robot of data center as described in claim 1, it is characterised in that: the inspection line
Road adjustment module is adjusted switching to the real-time inspection route of the fully-automatic intelligent crusing robot and specifically includes described patrol
It examines line adjustment module and is currently believed the location of inside the data center according to the fully-automatic intelligent crusing robot
Breath and the optimization inspection line information generate and switch line information among an optimization, and the main control module is according to
It is optimal to change intermediate switching line information, drive the fully-automatic intelligent crusing robot by being presently in shortest route distance
Position is moved to line inlet indicated by the optimal inspection line information.
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