CN105629790B - A kind of data management platform and its data managing method based on industrial Internet of Things - Google Patents
A kind of data management platform and its data managing method based on industrial Internet of Things Download PDFInfo
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- CN105629790B CN105629790B CN201610068483.8A CN201610068483A CN105629790B CN 105629790 B CN105629790 B CN 105629790B CN 201610068483 A CN201610068483 A CN 201610068483A CN 105629790 B CN105629790 B CN 105629790B
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- 238000013523 data management Methods 0.000 title claims abstract description 22
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- 238000013480 data collection Methods 0.000 claims abstract description 23
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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
Abstract
The present invention discloses a kind of data management platform and its management method based on industrial Internet of Things, including data collection system and uploading system, data collection system includes data acquisition gateway, transfer bus, data collection point and running equipment connected to it interconnected；Data uploading system includes data acquisition gateway and Cloud Server；Data acquisition gateway is equipped with controller, memory and configuration module, and Cloud Server is connected with WEB service end and mobile terminal, and configuration module is equipped with the data processing rule to acquisition data classification, identification and type conversion regime；Controller calls the data processing rule of configuration module according to WEB service end or the operational order of mobile terminal, and each equipment operating data deposit memory for collecting data collection point carries out data processing, and uploads to Cloud Server.The present invention to data working process, re-sends to Cloud Server and makees respective application, efficiently reduce Cloud Server workload, improve operation efficiency in data acquisition and upload procedure.
Description
Technical field
The present invention relates to industrial internet of things field, refer in particular to a kind of data management platform based on industrial Internet of Things and
Its data managing method.
Background technique
Technology of Internet of things is increasingly developed, increasingly popular to be applied to each large-scale industrial project, as based on industrial Internet of Things
Data management system, the main function of system are that the operation data acquisition for generating the large number of equipment of base is got up, and carry out comprehensive
Close monitoring management and application.For example, the central air-conditioning management system based on Internet of Things, common central air conditioner system is by Cooling and Heat Source
System and air handling system composition.The principle of liquid vaporization refrigeration is used to provide institute's chilling requirement for air handling system, to
Offset the refrigeration duty of indoor environment；Heating system provides the heat to offset indoor environment thermic load for air handling system.
A large amount of infrastructure devices involved in the system, such as a variety of base's equipment of air compressor, condenser, throttling set, evaporator, respectively
Equipment will generate mass data in day-to-day operation, by acquiring these data, and upload the data to Cloud Server, into one
Working process is walked, to monitor the operating condition of all devices in whole system.
Currently, the data management system of existing technology of Internet of things, main to realize data acquisition transmission, then by the number of acquisition
According to being compressed, it is just sent directly to Cloud Server.Since the data after acquisition are not classified effectively, are identified, type
The further processings such as conversion processing, making to acquire resulting data cannot carry out needing Cloud Server to receive number using processing at once
It is dealt with again after, increases the workload and technical costs of Cloud Server, influence the operational paradigm of whole system.
Summary of the invention
It is an object of that present invention to provide a kind of data management platform based on industrial Internet of Things and its data managing method,
During data acquisition and data upload, the data of acquisition are identified, type conversion, Classification Management etc. is a series of adds
It after work processing, re-sends to Cloud Server and carries out cloud application, efficiently reduce the workload of Cloud Server, to improve entire
Operational paradigm based on Internet of Things application system.
In order to achieve the above object, technical solution of the present invention is provided:
A kind of data management platform based on industrial Internet of Things, including data collection system and data uploading system, it is described
Data collection system includes data acquisition gateway, transfer bus, data collection point and operation connected to it interconnected
Equipment；The data uploading system includes the data acquisition gateway and Cloud Server；The data acquisition gateway is equipped with control
Device and memory processed；The data acquisition gateway further includes configuration module, and the Cloud Server is connected with WEB service end and movement
Terminal, the WEB service end and mobile terminal are for providing the operation port of human-computer interaction；The configuration module is equipped with to acquisition
The data processing rule of data classification, identification and type conversion regime；The controller of the data acquisition gateway is according to WEB service
The operational order of end or mobile terminal, calls the data processing rule of configuration module, collects each equipment operation of data collection point
Data are stored in memory and carry out data processing, and upload to Cloud Server and carry out cloud application.
Wherein, the data processing rule of the configuration module include data acquisition poll rule, data storage rule and
Data upload rule；When the data acquisition poll rule is used to set data acquisition modes and the response of each running equipment
Limit mechanism；The data storage rule is used to set the storage mode of acquisition data；Data upload rule for setting acquisition number
According to upload mode.
Further, the memory includes general data message store and COV datagram library, the general data report
Library is used to store the normal data of running equipment normal operation generation；COV datagram library is for storing running equipment
Abnormal generated abnormal data.
COV data generally refer to the biggish data of dispersion degree.In practical applications, if running equipment is abnormal,
Its operation data generated has large variation with the data that the running equipment before generates.Therefore, data management of the invention
By running equipment, the generated operational data under abnormality is identified as COV data to platform, and makees corresponding operation.
The data acquisition gateway is further improved, the controller further includes detection module, the detection module
For analyzing the type state of acquisition data, and the newly-increased COV data and original COV data in identification COV datagram library.
To make further classification to COV data, by further discriminating between newly-increased COV data and original COV data, can analyze corresponding
The fault degree of running equipment, by former COV data deducibility, the running equipment tentatively shows failure symptom, it is also possible to after
It is continuous to use, the operation of respective record and prompting record can be made, such as prepare the operation such as corresponding maintenance or part collection.If mutually meeting the tendency of
Row equipment generates newly-increased COV data again, indicates that the running equipment fault degree further deteriorates, it is necessary to make corresponding behaviour in time
Make, such as maintenance or replacement etc..
It is further improved on the basis of the above, the controller further includes alarm module, when the detection module is analyzed
Acquisition data mode exception when, carry out alarm operation.Alarm operation can be shown by information, or notice push, Huo Zheti
Show that the form of voice is realized.
The present invention also provides a kind of data managing method using the data management platform, step includes:
Q1: the WEB service end or mobile terminal issue data acquisition instructions to data acquisition gateway, and controller is allowed to call
The data acquisition poll rule of configuration module；
Q2: the controller acquires poll rule according to data and communicates to connect with the foundation of corresponding data collection point, and from
Data collection point issues data harvesting request to running equipment；
Q3: if receiving the feedback signal of running equipment in the response time limit as defined in data acquisition poll rule,
Jump to step Q4；If do not receive the feedback signal of running equipment within the response time limit, stop to current operation
Equipment issues request, jumps to issue to next running equipment and request；
Q4: the controller carries out data to the running equipment of response and collects, and the storage to the data acquisition gateway
Device is sent；
Q5: the detection module calls the data storage rule of configuration module, carries out data to the received data of memory
The conversion operation of type and system；
Q6: the data after conversion are carried out state analysis by the detection module, if what running equipment normal condition generated
Data then jump to step Q7；If the data that running equipment abnormality generates then send to alarm module and instruct, starting
Alert program, and jump to step Q8；
Q7: the memory is according to data storage rule, the data that running equipment normal condition is generated, and is stored in common number
According to message store；
Q8: the memory executes the identification operation of abnormality according to data storage rule, by running equipment exception shape
The data that state generates are stored in COV datagram library；
Q9: the WEB service end or mobile terminal issue data uploading instructions to data acquisition gateway, operation controller with
Cloud Server establishes communication connection, and starts detection module and the data of configuration module is called to upload rule, accesses memory；
Q10: the detection module accesses general data message store and the COV datagram library of memory respectively；Work as access
When general data message store, rule is uploaded according to data, general data mark is carried out to the data of general data message store；Work as visit
When asking the datagram library COV, step Q11 is jumped to；
Q11: the detection module uploads rule according to data and analyzes the data in COV datagram library, if accordingly
Running equipment generates multiple COV data, and the generation time of multiple COV data is compared, if newly-increased COV data note
Record then carries out newly-increased COV Data Identification；Otherwise, original COV Data Identification is carried out；
Q12: the controller uploads rule according to data and is ranked up identified data, and compression generates data packet；
Q13: the data packet is sent Cloud Server by the controller.
Specifically, in step Q6, the detection module further includes following steps to data state analysis:
P1: the detection module compares the data in the data and memory after conversion, if data are changed,
Then jump to step P2；It does not change such as, then data is stored in general data message store；
P2: analyzing the mobility scale of data according to data storage rule, is such as more than the prescribed limit of data storage rule, then
The data that running equipment generates extremely are identified as, and jump to step Q8；Such as in the prescribed limit of data storage rule, then know
Not Wei the data that normally generate of running equipment, jump to step Q7.
Further, the data compression is further included the steps that in step Q12:
C1: the controller takes out identified data, and uploads rule according to data and sorted respectively；
C2: the sortord will arrange in the data set of like-identified, form the data column of three kinds of marks；
C3: the mark data after sequence is sought unity of action compression, forms single data packet.
Above-mentioned compress mode is equivalent to the data after mark in the form of single data packet, is uniformly sent to cloud service
Device.Compared with the data which is identified with three kinds are compressed into the mode of data packet respectively, the advantage is that reducing squeeze operation time
Number saves data transmission period, improves transfer efficiency in data.
A kind of data management platform and its data managing method, beneficial effect based on industrial Internet of Things of the present invention exists
In: for the running equipment situation of data collection point and the demand of Cloud Server, configure corresponding data acquisition, data are deposited
The setting that storage and data upload, the rule that generating can call are set to the configuration module, and the controller is matched by calling
The respective rule for setting module carries out data acquisition and upload operation.In conjunction with detection module to data state analysis, adopted in data
During collection, data type conversion and data classification storage operation are carried out to the data of acquisition, and before data upload, it is right
Data make further identifying processing, efficiently reduce the workload of Cloud Server.Due to this system data acquire and on
During biography, data are subjected to state analysis, classification processing, administrative staff can be directly whole by WEB service end or movement
The data for holding monitoring system acquisition, judge the operating status of running equipment, connect Cloud Server in time and carry out corresponding cloud application,
Without being handled again by Cloud Server acquisition data, to improve the operational paradigm entirely based on Internet of Things application system.
Detailed description of the invention
Fig. 1 is a kind of structural schematic diagram of the data management platform based on industrial Internet of Things of the present invention；
Fig. 2 is the data collection steps flow chart using the data managing method of data management platform of the present invention；
Fig. 3 is the data upload step flow chart using the data managing method of data management platform of the present invention.
Specific embodiment
A kind of data management platform based on industrial Internet of Things of the invention and the data pipe of the platform is described with reference to the drawings
Reason method.
As shown in Figure 1, data management platform of the invention, including data collection system and data uploading system, the number
It include that data acquisition gateway, transfer bus, data collection point and operation connected to it interconnected are set according to acquisition system
It is standby；The data uploading system includes the data acquisition gateway and Cloud Server；The data acquisition gateway is equipped with control
Device and memory；The data acquisition gateway further includes configuration module, and the Cloud Server is connected with WEB service end and movement eventually
End, the WEB service end and mobile terminal are for providing the operation port of human-computer interaction；The configuration module is equipped with to acquisition number
According to the data processing rule of classification, identification and type conversion regime；The controller of the data acquisition gateway is according to WEB service end
Or the operational order of mobile terminal, the data processing rule of configuration module is called, each equipment operation number of data collection point is collected
Data processing is carried out according to deposit memory, and uploads to Cloud Server and carries out cloud application.
Wherein, the data processing rule of the configuration module include data acquisition poll rule, data storage rule and
Data upload rule；When the data acquisition poll rule is used to set data acquisition modes and the response of each running equipment
Limit mechanism；The data storage rule is used to set the storage mode of acquisition data；Data upload rule for setting acquisition number
According to upload mode.
Preferably, the memory includes general data message store and COV datagram library, the general data message
Library is used to store the normal data of running equipment normal operation generation；COV datagram library is different for storing running equipment
Abnormal data caused by often.
Preferably, the controller further includes detection module, and the detection module is used to analyze the type shape of acquisition data
State, and the newly-increased COV data and original COV data in identification COV datagram library.
Preferably, the controller further includes alarm module, when the acquisition data mode of detection module analysis is abnormal
When, carry out alarm operation.
As shown in Fig. 2, the data managing method of application data management platform of the present invention, data collection steps include: institute
It states WEB service end or mobile terminal and data acquisition instructions is issued to data acquisition gateway, controller is allowed to call the number of configuration module
According to acquisition poll rule；The controller acquires poll rule according to data and establishes communication connection with corresponding data collection point,
And data harvesting request is issued from data collection point to running equipment；If when the response as defined in data acquisition poll rule
Receive the feedback signal of running equipment in limit, the controller carries out data to the running equipment of response and collects, and to the number
It is sent according to the memory of acquisition gateway；If do not receive the feedback signal of running equipment within the response time limit, stop
It issues and requests to current running equipment, jump to issue to next running equipment and request；The detection module calls configuration module
Data storage rule, the received data of memory are carried out with the conversion operation of data type and system；The detection module will
Data after conversion carry out state analysis, if the data that running equipment normal condition generates, the memory are deposited according to data
Storage rule, the data that running equipment normal condition is generated are stored in general data message store；If running equipment abnormality produces
Raw data then send to alarm module and instruct, and start alert program, and the memory executes different according to data storage rule
The identification operation of normal state, the data that running equipment abnormality is generated are stored in COV datagram library.
Wherein, the preferred steps that the data after conversion are carried out state analysis by the detection module include: the detection mould
Block compares the data in the data and memory after conversion；
It does not change such as, then data is stored in general data message store；
If data are changed, the mobility scale of data is analyzed according to data storage rule, is such as more than data storage rule
Prescribed limit, then be identified as the data that running equipment generates extremely, be stored in COV datagram library；Otherwise, judge to deposit in data
In the prescribed limit for storing up rule, then the data that running equipment normally generates are identified as, are stored in general data message store.
As shown in figure 3, the data managing method of application data management platform of the present invention, data upload step includes: institute
It states WEB service end or mobile terminal and data uploading instructions is issued to data acquisition gateway, operation controller and Cloud Server are established
Communication connection, and start detection module and the data of configuration module is called to upload rule, access memory；The detection module difference
Access general data message store and the COV datagram library of memory；When accessing general data message store, uploaded according to data
Rule carries out general data mark to the data of general data message store；When accessing COV datagram library, the detection module
Rule is uploaded according to data to analyze the data in COV datagram library, if corresponding running equipment generates multiple COV data,
The generation time of multiple COV data is compared, if newly-increased COV data record, then carries out newly-increased COV data mark
Know；Otherwise, original COV Data Identification is carried out；The controller uploads rule according to data and is ranked up identified data, presses
Contracting generates data packet；The data packet is sent Cloud Server by the controller.
Wherein, the preferred steps that the controller is ranked up and compresses to identified data include: the controller
Identified data are taken out, and uploads rule according to data and is sorted respectively；The sortord is by the number of like-identified
It is arranged according to concentrating, forms the data column of three kinds of marks；Mark data after sequence is sought unity of action compression, and single data packet is formed.
According to the disclosure and teachings of the above specification, those skilled in the art in the invention can also be to above-mentioned embodiment party
Formula is changed and is modified.Therefore, the invention is not limited to the specific embodiments disclosed and described above, to of the invention
Some modifications and changes should also be as falling into the scope of the claims of the present invention.In addition, although being used in this specification
Some specific terms, these terms are merely for convenience of description, does not limit the present invention in any way.
Claims (6)
1. a kind of data management platform based on industrial Internet of Things, including data collection system and data uploading system, the number
It include that data acquisition gateway, transfer bus, data collection point and operation connected to it interconnected are set according to acquisition system
It is standby；The data uploading system includes the data acquisition gateway and Cloud Server；The data acquisition gateway is equipped with control
Device and memory；It is characterized in that, the data acquisition gateway further includes configuration module, the Cloud Server is connected with WEB clothes
Business end and mobile terminal, the WEB service end and mobile terminal are for providing the operation port of human-computer interaction；The configuration module
Equipped with the data processing rule to acquisition data classification, identification and type conversion regime；The controller of the data acquisition gateway
According to WEB service end or the operational order of mobile terminal, the data processing rule of configuration module is called, data collection point is collected
Each equipment operating data deposit memory carries out data processing, and uploads to Cloud Server and carry out cloud application；
The memory includes general data message store and COV datagram library, and the general data message store is for storing
The normal data that running equipment normal operation generates；COV datagram library is extremely generated for storing running equipment
Abnormal data；The COV data are running equipment generated operational data under abnormality；
The controller further includes detection module, and the detection module is used to analyze the type state of acquisition data, and identification
The newly-increased COV data and original COV data in COV datagram library.
2. data management platform according to claim 1, which is characterized in that the data processing rule of the configuration module includes number
Rule is uploaded according to acquisition poll rule, data storage rule and data；The data acquisition poll rule is each for setting
The data acquisition modes and response time limit mechanism of running equipment；The data storage rule is used to set the storage of acquisition data
Mode；Data upload rule for setting the upload mode of acquisition data.
3. data management platform according to claim 2, which is characterized in that the controller further includes alarm module, when described
When the acquisition data mode exception of detection module analysis, alarm operation is carried out.
4. a kind of data managing method using data management platform described in claim 3, which is characterized in that include at least as follows
Step:
Q1: the WEB service end or mobile terminal issue data acquisition instructions to data acquisition gateway, and controller is allowed to call configuration
The data acquisition poll rule of module；
Q2: the controller acquires poll rule and corresponding data collection point according to data and establishes communication connection, and from data
Collection point issues data harvesting request to running equipment；
Q3: it if receiving the feedback signal of running equipment in the response time limit as defined in data acquisition poll rule, jumps
To step Q4；If do not receive the feedback signal of running equipment within the response time limit, stop to current running equipment
Request is issued, jumps to issue to next running equipment and request；
Q4: the controller carries out data to the running equipment of response and collects, and sends out to the memory of the data acquisition gateway
It send；
Q5: the detection module calls the data storage rule of configuration module, carries out data type to the received data of memory
And the conversion operation of system；
Q6: the data after conversion are carried out state analysis by the detection module, if the data that running equipment normal condition generates,
Then jump to step Q7；If the data that running equipment abnormality generates then send to alarm module and instruct, starting alarm journey
Sequence, and jump to step Q8；
Q7: the memory is according to data storage rule, the data that running equipment normal condition is generated, and is stored in general data report
Library；
Q8: the memory executes the identification operation of abnormality according to data storage rule, and running equipment abnormality is produced
Raw data are stored in COV datagram library,
Q9: the WEB service end or mobile terminal issue data uploading instructions to data acquisition gateway, and operation controller and cloud take
The data that device foundation communicates to connect, and starts detection module calling configuration module of being engaged in upload rule, access memory；
Q10: the detection module accesses general data message store and the COV datagram library of memory respectively；When access is common
When datagram library, rule is uploaded according to data, general data mark is carried out to the data of general data message store；As access COV
When datagram library, step Q11 is jumped to；
Q11: the detection module uploads rule according to data and analyzes the data in COV datagram library, if corresponding operation
Equipment generates multiple COV data, and the generation time of multiple COV data is compared, if newly-increased COV data record,
Then carry out newly-increased COV Data Identification；Otherwise, original COV Data Identification is carried out；
Q12: the controller uploads rule according to data and is ranked up identified data, and compression generates data packet；
Q13: the data packet is sent Cloud Server by the controller.
5. data managing method according to claim 4, which is characterized in that in step Q6, the detection module logarithm
Further include following steps according to state analysis:
P1: the detection module compares the data in the data and memory after conversion, if data are changed, then jumps
Go to step P2；It does not change such as, then data is stored in general data message store；
P2: the mobility scale of data is analyzed according to data storage rule, is such as more than the prescribed limit of data storage rule, then identifies
For the data that running equipment generates extremely, and jump to step Q8；Such as in the prescribed limit of data storage rule, then it is identified as
The data that running equipment normally generates jump to step Q7.
6. data managing method according to claim 4, which is characterized in that in step Q12 further include data compression
Step:
C1: the controller takes out identified data, and uploads rule according to data and sorted respectively；
C2: the sortord will arrange in the data set of like-identified, form the data column of three kinds of marks；
C3: the mark data after sequence is sought unity of action compression, forms single data packet.
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