CN105629790A - Data management platform and method based on industrial IOT (Internet of Things) - Google Patents
Data management platform and method based on industrial IOT (Internet of Things) Download PDFInfo
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- CN105629790A CN105629790A CN201610068483.8A CN201610068483A CN105629790A CN 105629790 A CN105629790 A CN 105629790A CN 201610068483 A CN201610068483 A CN 201610068483A CN 105629790 A CN105629790 A CN 105629790A
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- 238000013523 data management Methods 0.000 title claims abstract description 24
- 238000000034 method Methods 0.000 title claims abstract description 24
- 238000013480 data collection Methods 0.000 claims abstract description 27
- 238000006243 chemical reaction Methods 0.000 claims abstract description 17
- 238000012545 processing Methods 0.000 claims abstract description 16
- 230000008569 process Effects 0.000 claims abstract description 9
- 238000001514 detection method Methods 0.000 claims description 31
- 238000013500 data storage Methods 0.000 claims description 25
- 230000004044 response Effects 0.000 claims description 12
- 230000002159 abnormal effect Effects 0.000 claims description 10
- 230000005856 abnormality Effects 0.000 claims description 10
- 238000004458 analytical method Methods 0.000 claims description 8
- 238000004891 communication Methods 0.000 claims description 6
- 238000007906 compression Methods 0.000 claims description 6
- 230000006835 compression Effects 0.000 claims description 6
- 238000000151 deposition Methods 0.000 claims description 6
- 238000012546 transfer Methods 0.000 claims description 4
- 230000009471 action Effects 0.000 claims description 3
- 230000008859 change Effects 0.000 claims description 3
- 238000003306 harvesting Methods 0.000 claims description 3
- 230000003993 interaction Effects 0.000 claims description 3
- 230000007246 mechanism Effects 0.000 claims description 3
- 238000013144 data compression Methods 0.000 claims description 2
- 230000005540 biological transmission Effects 0.000 abstract description 4
- 238000005516 engineering process Methods 0.000 description 4
- 238000007726 management method Methods 0.000 description 3
- 238000012544 monitoring process Methods 0.000 description 3
- 238000012423 maintenance Methods 0.000 description 2
- 238000005057 refrigeration Methods 0.000 description 2
- 238000004378 air conditioning Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
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- 239000006185 dispersion Substances 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 239000007788 liquid Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 208000024891 symptom Diseases 0.000 description 1
- 230000008016 vaporization Effects 0.000 description 1
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
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Abstract
The invention discloses a data management platform and method based on an industrial IOT (Internet of Things), and the platform comprises a data collection system and an uploading system. The data collection system comprises a data collection gateway, a transmission bus, data collection points, and operation equipment connected with the data collection points, wherein the data collection gateway, the transmission bus, the data collection points and the operation equipment are connected with each other. The data uploading system comprises a data collection gateway and a cloud server. The data collection gateway is provided with a controller, a storage unit, and a configuration module. The cloud server is connected with a WEB server and a mobile terminal. The configuration module is provided with data processing rules of collection data classification, recognition and type conversion modes. The controller carries out the call of the data processing rules of the configuration module according to an operation instruction of the WEB server or the mobile terminal, collects the operation data of all equipment at all data collection points, stores the operation data into the storage unit for data processing, and uploads the data to the cloud server. The platform carries out the processing of data in a process of data collection and uploading, transmits the data to the cloud server for corresponding application, effectively reduces the workload of the cloud server, and improves the operation efficiency.
Description
Technical field
The present invention relates to industry technology of Internet of things field, refer in particular to a kind of data management platform based on industry Internet of Things and its data managing method.
Background technology
Technology of Internet of things is growing, increasingly popular being applied to each large scale industry project, such as the data management system based on industry Internet of Things, this main function of system is in that, the service data collection produced by the large number quipments of basic unit is got up, and carries out comprehensive monitoring management and application. Such as, the central air-conditioning based on Internet of Things manages system, and common central air conditioner system is made up of cold and heat source system and air handling system. The principle adopting vaporizing liquid refrigeration provides institute's chilling requirement for air handling system, in order to offset the refrigeration duty of indoor environment; Heating provides the heat in order to offset indoor environment thermic load for air handling system. This system relates to a large amount of infrastructure device, such as multiple basic unit equipment such as air compressor, condenser, throttling arrangement, vaporizers, each equipment is in day-to-day operation, mass data will be produced, by gathering these data, and it upload the data to Cloud Server, it is processed further processing, thus monitoring the ruuning situation of all devices in whole system.
At present, the data management system of existing technology of Internet of things, mainly realize data acquisition transmission, then the data of collection are compressed, are just sent directly to Cloud Server. It is processed further processing owing to the data after gathering do not obtain effectively classification, identification, type conversion etc., the data making collection gained cannot carry out application process at once, deal with again after needing cloud server data, increase workload and the technical costs of Cloud Server, affect the operational paradigm of whole system.
Summary of the invention
Present invention aim at providing a kind of data management platform based on industry Internet of Things and its data managing method, in the process that data acquisition and data are uploaded, the data gathered are identified, type conversion, after a series of processed such as Classification Management, re-send to Cloud Server and carry out cloud application, efficiently reduce the workload of Cloud Server, thus improving the whole operational paradigm based on Internet of Things application system.
In order to achieve the above object, technical scheme is provided:
A kind of data management platform based on industry Internet of Things, including data collecting system and data uploading system, described data collecting system includes interconnective data acquisition gateway, transfer bus, data collection point and connected operational outfit; Described data uploading system includes described data acquisition gateway and Cloud Server; Described data acquisition gateway is provided with controller and memorizer; Described data acquisition gateway also includes configuration module, and described Cloud Server is connected to WEB service end and mobile terminal, described WEB service end and mobile terminal for providing the operation port of man-machine interaction; Described configuration module is provided with the data processing rule gathering data classification, identification and type conversion regime; The controller of the described data acquisition gateway operational order according to WEB service end or mobile terminal, call the data processing rule of configuration module, collect each equipment operating data of data collection point to be stored in memorizer and carry out data process, and upload to Cloud Server and carry out cloud application.
Wherein, the data processing rule of described configuration module includes data acquisition poll rule, data storage rule and data upload rule; Described data acquisition poll rule is for setting data acquisition modes and the response time limit mechanism of each operational outfit; Described data storage rule gathers the storage mode of data for setting; Data upload rule for set gather data upload mode.
Further, described memorizer includes general data message store and COV datagram library, and described general data message store is for depositing the normal data that operational outfit normal operation produces; Described COV datagram library is used for depositing the abnormal produced abnormal data of operational outfit.
COV data, generally refer to the data that dispersion degree is bigger. In actual applications, if operational outfit occurs abnormal, then the data that the service data of its generation and this operational outfit before produce have large variation. Therefore, operational outfit produced operational data under abnormality is designated COV data by the data management platform of the present invention, and does corresponding operation.
Described data acquisition gateway is further improved, and described controller also includes detection module, and described detection module gathers the type state of data for analyzing, and identifies the newly-increased COV data in described COV datagram library and former COV data. COV data to be done further classification, by further discriminating between newly-increased COV data and former COV data, the fault degree of corresponding operational outfit can be analyzed, failure symptom is tentatively manifested by former COV this operational outfit of data deducibility, it is also possible to be continuing with, respective record can be made and remind the operation of record, for instance preparing the operations such as corresponding maintenance or part collection. If corresponding operational outfit produces newly-increased COV data again, represent that this operational outfit fault degree worsens further, it is necessary to make corresponding operating in time, for instance maintenance or replacing etc.
Being further improved on the basis of the above, described controller also includes alarm module, when the collection data mode exception that described detection module is analyzed, carries out operation of reporting to the police. Warning operation can be shown by information, or notice pushes, or the form of suggestion voice realizes.
The present invention also provides for a kind of data managing method applying described data management platform, and step includes:
Q1: data acquisition gateway is sent data acquisition instructions by described WEB service end or mobile terminal, allows controller call the data acquisition poll rule of configuration module;
Q2: described controller sets up communication connection according to the regular and corresponding data collection point of data acquisition poll, and sends data harvesting request from data collection point to operational outfit;
Q3: if receiving the feedback signal of operational outfit within the response time limit of described data acquisition poll rule regulation, then jump to step Q4; If do not receive the feedback signal of operational outfit within the described response time limit, then stop sending request to currently running equipment, redirect and send request to next operational outfit;
Q4: the operational outfit of response is carried out data and collects by described controller, and sends to the memorizer of described data acquisition gateway;
Q5: described detection module calls the data storage rule of configuration module, the data that memorizer is received carry out the conversion operation of data type and system;
Q6: the data after conversion are carried out state analysis by described detection module, if the data that operational outfit normal condition produces, then jumps to step Q7; If the data that operational outfit abnormality produces, then send instruction to alarm module, start alert program, and jump to step Q8;
Q7: described memorizer, according to data storage rule, the data produced by operational outfit normal condition, is stored in general data message store;
Q8: described memorizer, according to data storage rule, performs the mark operation of abnormality, data operational outfit abnormality produced, is stored in COV datagram library;
Q9: data acquisition gateway is sent data uploading instructions by described WEB service end or mobile terminal, operation controller and Cloud Server set up communication connection, and start detection module and call the data of configuration module and upload rule, access memorizer;
Q10: described detection module accesses general data message store and the COV datagram library of memorizer respectively; When accessing general data message store, upload the rule data to general data message store according to data and carry out general data mark; When accessing COV datagram library, jump to step Q11;
Q11: described detection module is uploaded the rule data to COV datagram library according to data and is analyzed, if corresponding operational outfit produces multiple COV data, the generation time of the plurality of COV data is contrasted, if newly-increased COV data record, then carries out newly-increased COV Data Identification; Otherwise, former COV Data Identification is carried out;
Q12: described controller is uploaded rule according to data and identified data is ranked up, and compression generates packet;
Q13: described packet is sent to Cloud Server by described controller.
Specifically, in step Q6, data state analysis is also comprised the steps: by described detection module
P1: the data after conversion are contrasted by described detection module with the data in memorizer, as data change to some extent, then jump to step P2; As do not changed, then data are stored in general data message store;
P2: the mobility scale according to data storage rule analytical data, as exceeded the prescribed limit of data storage rule, is then identified as the abnormal data produced of operational outfit, and jumps to step Q8; As in the prescribed limit of data storage rule, being then identified as the data that operational outfit normally produces, jump to step Q7.
Further, in step Q12, also include the step of described data compression:
C1: identified data are taken out by described controller, and upload rule according to data and sort respectively;
C2: described sortord will arrange in the data set of like-identified, forms the data row of three kinds of marks;
C3: the mark data after sequence are sought unity of action compression, forms individual data bag.
Above-mentioned compress mode is equivalent to the form with individual data bag of the data after by mark, and unification is sent to Cloud Server. Which is compared with the mode that the data of three kinds of marks are compressed into packet respectively, and advantage is in that, reduces squeeze operation number of times, saves data transmission period, improves transfer efficiency in data.
A kind of data management platform based on industry Internet of Things of the present invention, and its data managing method, have the beneficial effects that: for the operational outfit situation of data collection point, and the demand of Cloud Server, configure the setting that corresponding data acquisition, data storage and data are uploaded, the rule that generation can be called is located at described configuration module, and described controller carries out data acquisition and upload operation by calling the respective rule of configuration module. In conjunction with detection module to data state analysis, in the process of data acquisition, the data gathered are carried out data type conversion and data classification storage operation, and before data are uploaded, data are made further identifying processing, efficiently reduces the workload of Cloud Server. Owing to native system is in data acquisition and the process uploaded, data have carried out state analysis, classification processes, the data that management personnel can gather either directly through WEB service end or mobile terminal monitoring system, judge the running status of operational outfit, connect Cloud Server in time and carry out corresponding cloud application, need not be processed gathering data by Cloud Server again, thus improving the whole operational paradigm based on Internet of Things application system.
Accompanying drawing explanation
Fig. 1 is the structural representation of a kind of data management platform based on industry Internet of Things of the present invention;
Fig. 2 is the data collection steps flow chart of the data managing method applying data management platform of the present invention;
Fig. 3 is the data upload step flow chart of the data managing method applying data management platform of the present invention.
Detailed description of the invention
A kind of data management platform based on industry Internet of Things of the accompanying drawings present invention, and the data managing method of this platform.
As it is shown in figure 1, the data management platform of the present invention, including data collecting system and data uploading system, described data collecting system includes interconnective data acquisition gateway, transfer bus, data collection point and connected operational outfit; Described data uploading system includes described data acquisition gateway and Cloud Server; Described data acquisition gateway is provided with controller and memorizer; Described data acquisition gateway also includes configuration module, and described Cloud Server is connected to WEB service end and mobile terminal, described WEB service end and mobile terminal for providing the operation port of man-machine interaction; Described configuration module is provided with the data processing rule gathering data classification, identification and type conversion regime; The controller of the described data acquisition gateway operational order according to WEB service end or mobile terminal, call the data processing rule of configuration module, collect each equipment operating data of data collection point to be stored in memorizer and carry out data process, and upload to Cloud Server and carry out cloud application.
Wherein, the data processing rule of described configuration module includes data acquisition poll rule, data storage rule and data upload rule; Described data acquisition poll rule is for setting data acquisition modes and the response time limit mechanism of each operational outfit; Described data storage rule gathers the storage mode of data for setting; Data upload rule for set gather data upload mode.
Preferably, described memorizer includes general data message store and COV datagram library, and described general data message store is for depositing the normal data that operational outfit normal operation produces; Described COV datagram library is used for depositing the abnormal produced abnormal data of operational outfit.
Preferably, described controller also includes detection module, and described detection module gathers the type state of data for analyzing, and identifies the newly-increased COV data in described COV datagram library and former COV data.
Preferably, described controller also includes alarm module, when the collection data mode exception that described detection module is analyzed, carries out operation of reporting to the police.
As shown in Figure 2, apply the data managing method of data management platform of the present invention, its data collection steps includes: data acquisition gateway is sent data acquisition instructions by described WEB service end or mobile terminal, allows controller call the data acquisition poll rule of configuration module; Described controller sets up communication connection according to the regular and corresponding data collection point of data acquisition poll, and sends data harvesting request from data collection point to operational outfit; If receiving the feedback signal of operational outfit within the response time limit of described data acquisition poll rule regulation, the operational outfit of response is carried out data and collects by described controller, and sends to the memorizer of described data acquisition gateway; If do not receive the feedback signal of operational outfit within the described response time limit, then stop sending request to currently running equipment, redirect and send request to next operational outfit; Described detection module calls the data storage rule of configuration module, and the data that memorizer is received carry out the conversion operation of data type and system; Data after conversion are carried out state analysis by described detection module, if the data that operational outfit normal condition produces, described memorizer, according to data storage rule, the data produced by operational outfit normal condition, is stored in general data message store; If the data that operational outfit abnormality produces, then send instruction to alarm module, start alert program, described memorizer is according to data storage rule, perform the mark operation of abnormality, data operational outfit abnormality produced, be stored in COV datagram library.
Wherein, the preferred steps that the data after conversion carry out state analysis is included by described detection module: the data after conversion are contrasted by described detection module with the data in memorizer;
As do not changed, then data are stored in general data message store;
As data change to some extent, the mobility scale according to data storage rule analytical data, as exceeded the prescribed limit of data storage rule, then it is identified as the abnormal data produced of operational outfit, is stored in COV datagram library; Otherwise, it is judged that in the prescribed limit of data storage rule, then it is identified as the data that operational outfit normally produces, is stored in general data message store.
As shown in Figure 3, apply the data managing method of data management platform of the present invention, its data upload step includes: data acquisition gateway is sent data uploading instructions by described WEB service end or mobile terminal, operation controller sets up communication connection with Cloud Server, and start detection module and call the data of configuration module and upload rule, access memorizer; Described detection module accesses general data message store and the COV datagram library of memorizer respectively; When accessing general data message store, upload the rule data to general data message store according to data and carry out general data mark; When accessing COV datagram library, described detection module is uploaded the rule data to COV datagram library according to data and is analyzed, if corresponding operational outfit produces multiple COV data, the generation time of the plurality of COV data is contrasted, if newly-increased COV data record, then carry out newly-increased COV Data Identification; Otherwise, former COV Data Identification is carried out; Described controller is uploaded rule according to data and identified data is ranked up, and compression generates packet; Described packet is sent to Cloud Server by described controller.
Wherein, identified data are ranked up by described controller and the preferred steps compressed includes: identified data are taken out by described controller, and upload rule according to data and sort respectively; Described sortord will arrange in the data set of like-identified, forms the data row of three kinds of marks; Mark data after sequence are sought unity of action compression, form individual data bag.
The announcement of book and instruction according to the above description, above-mentioned embodiment can also be modified and revise by those skilled in the art in the invention. Therefore, the invention is not limited in detailed description of the invention disclosed and described above, should also be as some modifications and changes of the present invention falling in the scope of the claims of the present invention. Although additionally, employ some specific terms in this specification, but these terms are intended merely to convenient explanation, and the present invention does not constitute any restriction.
Claims (8)
1., based on a data management platform for industry Internet of Things, including data collecting system and data uploading system, described data collecting system includes interconnective data acquisition gateway, transfer bus, data collection point and connected operational outfit; Described data uploading system includes described data acquisition gateway and Cloud Server; Described data acquisition gateway is provided with controller and memorizer; It is characterized in that, described data acquisition gateway also includes configuration module, and described Cloud Server is connected to WEB service end and mobile terminal, described WEB service end and mobile terminal for providing the operation port of man-machine interaction; Described configuration module is provided with the data processing rule gathering data classification, identification and type conversion regime; The controller of the described data acquisition gateway operational order according to WEB service end or mobile terminal, call the data processing rule of configuration module, collect each equipment operating data of data collection point to be stored in memorizer and carry out data process, and upload to Cloud Server and carry out cloud application.
2. data management platform according to claim 1, it is characterised in that the data processing rule of described configuration module includes data acquisition poll rule, data storage rule and data and uploads rule; Described data acquisition poll rule is for setting data acquisition modes and the response time limit mechanism of each operational outfit; Described data storage rule gathers the storage mode of data for setting; Data upload rule for set gather data upload mode.
3. data management platform according to claim 1, it is characterised in that described memorizer includes general data message store and COV datagram library, described general data message store is for depositing the normal data that operational outfit normal operation produces; Described COV datagram library is used for depositing the abnormal produced abnormal data of operational outfit.
4. data management platform according to claim 3, it is characterised in that described controller also includes detection module, described detection module gathers the type state of data for analyzing, and identifies the newly-increased COV data in described COV datagram library and former COV data.
5. data management platform according to claim 4, it is characterised in that described controller also includes alarm module, when the collection data mode exception that described detection module is analyzed, carries out operation of reporting to the police.
6. apply the data managing method of data management platform described in any one of claim 1 to 5 for one kind, it is characterised in that at least comprise the steps:
Q1: data acquisition gateway is sent data acquisition instructions by described WEB service end or mobile terminal, allows controller call the data acquisition poll rule of configuration module;
Q2: described controller sets up communication connection according to the regular and corresponding data collection point of data acquisition poll, and sends data harvesting request from data collection point to operational outfit;
Q3: if receiving the feedback signal of operational outfit within the response time limit of described data acquisition poll rule regulation, then jump to step Q4; If do not receive the feedback signal of operational outfit within the described response time limit, then stop sending request to currently running equipment, redirect and send request to next operational outfit;
Q4: the operational outfit of response is carried out data and collects by described controller, and sends to the memorizer of described data acquisition gateway;
Q5: described detection module calls the data storage rule of configuration module, the data that memorizer is received carry out the conversion operation of data type and system;
Q6: the data after conversion are carried out state analysis by described detection module, if the data that operational outfit normal condition produces, then jumps to step Q7; If the data that operational outfit abnormality produces, then send instruction to alarm module, start alert program, and jump to step Q8;
Q7: described memorizer, according to data storage rule, the data produced by operational outfit normal condition, is stored in general data message store;
Q8: described memorizer, according to data storage rule, performs the mark operation of abnormality, data operational outfit abnormality produced, is stored in COV datagram library.
Q9: data acquisition gateway is sent data uploading instructions by described WEB service end or mobile terminal, operation controller and Cloud Server set up communication connection, and start detection module and call the data of configuration module and upload rule, access memorizer;
Q10: described detection module accesses general data message store and the COV datagram library of memorizer respectively; When accessing general data message store, upload the rule data to general data message store according to data and carry out general data mark; When accessing COV datagram library, jump to step Q11;
Q11: described detection module is uploaded the rule data to COV datagram library according to data and is analyzed, if corresponding operational outfit produces multiple COV data, the generation time of the plurality of COV data is contrasted, if newly-increased COV data record, then carries out newly-increased COV Data Identification; Otherwise, former COV Data Identification is carried out;
Q12: described controller is uploaded rule according to data and identified data is ranked up, and compression generates packet;
Q13: described packet is sent to Cloud Server by described controller.
7. data managing method according to claim 6, it is characterised in that in step Q6, data state analysis is also comprised the steps: by described detection module
P1: the data after conversion are contrasted by described detection module with the data in memorizer, as data change to some extent, then jump to step P2; As do not changed, then data are stored in general data message store;
P2: the mobility scale according to data storage rule analytical data, as exceeded the prescribed limit of data storage rule, is then identified as the abnormal data produced of operational outfit, and jumps to step Q8; As in the prescribed limit of data storage rule, being then identified as the data that operational outfit normally produces, jump to step Q7.
8. data managing method according to claim 6, it is characterised in that also include the step of described data compression in step Q12:
C1: identified data are taken out by described controller, and upload rule according to data and sort respectively;
C2: described sortord will arrange in the data set of like-identified, forms the data row of three kinds of marks;
C3: the mark data after sequence are sought unity of action compression, forms individual data bag.
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