CN108009257A - A kind of wireless RF data screening plant and method based on streaming computing - Google Patents
A kind of wireless RF data screening plant and method based on streaming computing Download PDFInfo
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- CN108009257A CN108009257A CN201711298865.0A CN201711298865A CN108009257A CN 108009257 A CN108009257 A CN 108009257A CN 201711298865 A CN201711298865 A CN 201711298865A CN 108009257 A CN108009257 A CN 108009257A
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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- G06F16/24552—Database cache management
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Abstract
The invention discloses a kind of wireless RF data screening plant and method based on streaming computing, including message queue kafka units, data source spout units, logical process bolt units and cache management redis units；Message queue kafka units receive and store wireless RF data；Data source spout units are monitored, pull data presently written in message queue kafka units and parsed；Logical process bolt units receive the data after parsing, data in query caching management redis units with reception data match, the matching in the specific positive and negative period is carried out according to processing logic set in advance to screen, and will be matched in the data deposit cache management redis units after screening；Cache management redis units receive the Query Information of logical process bolt units and return the result, and can not matched data for storing current point in time；The present invention improves less radio-frequency mass data and gives the efficiency of data screening, shortens the time of data latency in conventional process pattern, improves the timeliness of data processing.
Description
Technical field
The invention belongs to big data streaming computing technique field, more particularly, to a kind of based on the wireless of streaming computing
Rf data screening plant and method.
Background technology
Internet of Things be after computer, internet and mobile communication again information industry revolution, Internet of Things be
On the basis of computer internet, using technologies such as radio frequency automatic identification, wireless data communication, a covering in the world ten thousand is constructed
Thing all things on earth " Internet of Things ", and realize that the core technology of this Internet of Things is exactly wireless radio-frequency.In recent years,
With the rapid development of technology of Internet of things, the extensive application of wireless radio-frequency and equipment, as the other automobile bayonet of City-level leads to
Row tracking, article logistic track etc., the daily wireless RF data of the thing followed has reached TB ranks, wireless RF data
Increase so that be treated as needing the overriding challenge faced face to face in real time.
At present, most of processing mode all be use data cluster, wherein data processing mainly using MapReduce as
It is main, by calling Map functions and Reduce function pair data to be handled.But MapReduce to data processing when it is real-time
Property and timeliness it is poor, therefore be badly in need of a kind of method that can be handled mass data and matched screening.
The content of the invention
For the disadvantages described above or Improvement requirement of the prior art, the present invention provides a kind of wirelessly penetrating based on streaming computing
Frequency is monitored, pulled and launched by the wireless RF data to reception, to wirelessly penetrating according to screening plant and method in real time
Frequency data stream carries out the matching screening in the specific positive and negative period, improves less radio-frequency mass data and gives data screening
Efficiency, shortens the time of data latency in conventional process pattern, improves the timeliness of data processing.
To achieve the above object, a kind of one side according to the invention, there is provided less radio-frequency based on streaming computing
Data screening device, including message queue kafka units, data source spout units, logical process bolt units and cache management
Redis units；
The message queue kafka units are used to receive and store wireless RF data；
The data source spout units are gone forward side by side for monitoring, pulling data presently written in message queue kafka units
Row parsing, and the data after parsing are transmitted to logical process bolt units；
The logical process bolt units are used to receive the data after parsing, inquire about and obtain cache management redis units
In can with the historical data of currently received data match, according to processing logic set in advance to currently received data and
The historical data carries out the matching screening in the specific positive and negative period, and the current data of successful match and historical data are held
Longization；The current data of non-successful match is write into cache management redis units；And for monitoring cache management redis units
In data failure event, reject overtime fail data；
The cache management redis units are used to receive the Query Information of logical process bolt units and return the result, and
Can not matched data for caching current point in time.
Preferably, the above-mentioned wireless RF data screening plant based on streaming computing, it is described can matched historical data
There is customized association to screen logic between RF tag code and the current RF tag code for receiving data；
Register when the RF tag code of the historical data exists in cache management redis units in the certain negative period
Historical data is rejected and by itself and currently received data by record, logical process bolt units from cache management Redis units
Persistence；
When the historical data RF tag code in cache management redis units in the certain negative period without registering note
Currently received data are stored in cache management redis units by record, logical process bolt units, and set current reception data
In the cache invalidation time of specific positive period.
Preferably, the above-mentioned wireless RF data screening plant based on streaming computing, the message queue kafka units are also
For creating different message subjects according to pre-defined data type and specifying the feature tag of the message subject, message
Distinguished between theme by the feature tag, different message subjects is storing different types of less radio-frequency number
According to.
Preferably, the above-mentioned wireless RF data screening plant based on streaming computing, the logical process bolt unit bags
Include multiple logical process subelements, different logical process subelements has different processing logics, for same data into
Row repeatedly processing；Carried out data transmission between the logical process subelement by the way of transmitting.
Other side according to the invention, there is provided a kind of wireless RF data screening technique based on streaming computing,
Comprise the following steps：
S1：The inflow of wireless RF data in monitoring information queue kafka units, when there is new data write-in, pulls and works as
The data of preceding write-in simultaneously parse it according to predetermined resolution logic, and the data after parsing are transmitted to logical process
Bolt units；
S2：When logical process bolt units receive certain negative in the data after parsing and query caching management redis units
Between whether there is matched historical data in section, if so, then entering step S3；If it is not, then enter step S4；
S3：By the matching historical data retrieved in cache management redis units reject, and by currently received data with
The data persistence being removed in cache management redis units, and indicate the Data Matching；
S4：Currently received data are stored in cache management redis units, and its mistake is set according to the specific positive period
Imitate the time；
S5：The data failure event in cache management redis units is monitored, when there is data failure, is rejected and held
Longization, and indicate that the data mismatch.
Preferably, above-mentioned wireless RF data screening technique, it is further comprising the steps of before step S1：Previously according to definition
Wireless RF data type, create the message subject with different characteristic label, different message subjects is storing difference
The wireless RF data of type.
Preferably, above-mentioned wireless RF data screening technique, it is characterised in that the method for screening is matched in step S2 to be included
Following steps：
S21：According to receive data RF tag code, inquire about and obtain in cache management redis units whether there is with
Its RF tag code to match, there is between the RF tag code customized association to screen logic；If so, then enter step
Rapid S22；If it is not, then enter step S4；
S22：According to the RF tag code of acquisition, retrieve in cache management redis units and whether deposited in the certain negative period
In the record of registering of above-mentioned RF tag code；If so, then enter step S3；If it is not, then enter step S4.
In general, by the contemplated above technical scheme of the present invention compared with prior art, it can obtain down and show
Beneficial effect：
A kind of wireless RF data screening plant and method based on streaming computing provided by the invention, pass through message queue
The continuous write-in of middle wireless RF data, realizes the persistence of wireless RF data stream；The lasting prison of data source spout units
Wireless RF data is listened, pulled and parsed, and is transmitted to logical process bolt units, passes through logical process bolt units pair
Wireless RF data stream carries out the matching screening in the specific positive and negative period, when existing with connecing in cache management redis units
When receiving the data of data match, then matched data is deleted and by quilt in currently received data and cache management redis units
The matched data persistence of rejecting；It is when there is no during matched data, then currently received data deposit cache management redis is mono-
In member, improve less radio-frequency mass data and give the efficiency of data screening, shorten data in conventional process pattern
The time of wait, improves the timeliness of data processing；And when according to the specific positive period, the failure of current reception data is set
Between；Real-time monitored data failure event, when there is data failure, is rejected simultaneously persistence, avoids invalid data from occupying storage
Space.
Brief description of the drawings
Fig. 1 is a kind of module frame of wireless RF data screening plant based on streaming computing provided in an embodiment of the present invention
Figure；
Fig. 2 is the flow chart of the wireless RF data screening technique provided in an embodiment of the present invention based on streaming computing；
Fig. 3 is the method flow that logical process bolt units provided in an embodiment of the present invention carry out data matching screening
Figure.
Embodiment
In order to make the purpose , technical scheme and advantage of the present invention be clearer, with reference to the accompanying drawings and embodiments, it is right
The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and
It is not used in the restriction present invention.As long as in addition, technical characteristic involved in each embodiment of invention described below
Not forming conflict each other can be mutually combined.
Fig. 1 is a kind of module frame of wireless RF data screening plant based on streaming computing provided in an embodiment of the present invention
Figure；As shown in Figure 1, a kind of wireless RF data screening plant based on streaming computing provided by the present invention, including message team
Arrange kafka units, data source spout units, logical process bolt units and cache management redis units；
Message queue kafka units are used for the wireless RF data for receiving and storing magnanimity；And for according to pre-defined
Wireless RF data type, create different message subjects and specify the feature tag of message subject, lead between message subject
Cross feature tag to distinguish, different message subjects is storing different types of wireless RF data；According to data type,
Wireless RF data stream is stored in message queue kafka units in corresponding message subject in the form of journal file.
Data source spout units are used to subscribe to the message subjects of message queue kafka units, monitor, pull and parsing disappears
Message presently written in theme is ceased, the Data Format Transform of presently written message is accessible for logical process bolt units
Form, and the message data after parsing is transmitted to logical process bolt units；Data source spout units are as message queue
The consumer of the wireless RF data stored in kafka units, subscribes to the corresponding message subject of feature tag；Data source spout
Inflow of the unit using wireless RF data in monitoring information queue kafka units by the way of obstruction；Message is write when there are data
During queue kafka units, data source spout units pull wireless RF data according to the feature tag of message subject, and according to
Predetermined resolution logic is parsed and cleaned to data, it is ensured that the data format after processing is arranged with logical process bolt units
Data format it is identical；And by the data after processing be transmitted to logical process bolt units carry out matching screening logical process.
Logical process bolt units are used for the data for receiving the transmitting of data source spout units, inquire about and obtain cache management
In redis units can with the historical data of currently received data match, according to it is set in advance processing logic to currently connecing
The data of receipts and the historical data carry out the matching screening in the specific positive and negative period, and by the current data of successful match and
Historical data persistence；The current data of non-successful match is write into cache management redis units；And for monitoring cache management
Data failure event in redis units, rejects overtime fail data；
Due to the randomness of wireless RF data, when the data within there are the positive and negative period need to match screening, logic
Upper current data needs to carry out matching screening with the data produced in historical data and future time section；The negative period, that is, specific
Historical time section, positive period, that is, specific future time section；The length of historical time section and future time section can be according to user
Demand and practical application scene are voluntarily set；There is user between the RF tag code for the wireless RF data that can be mutually matched
Customized association screening logic in advance.
Specifically, logical process bolt units receive the wireless RF data of data source spout units transmitting, and radio frequency
Label code and radio frequency identification device apparatus code, query caching, which is managed in redis units, whether there is with receiving penetrating for data match
Frequency label code；After acquisition can be with matched RF tag code, it is retrieved within the certain negative period in cache management redis units
In with the presence or absence of registering record, can be with the history of current reception Data Matching if so, showing to exist in cache management redis units
Data, then reject the matched data retrieved in cache management redis units, and by currently received data and cache management
Permanently stored in the memory such as the matched data persistence being removed in redis units, the data deposit hard disk after will matching,
Indicate the Data Matching at the same time；If it is not, currently received data are stored in cache management redis units, and set and currently connect
Out-of-service time of the data of receipts in the specific positive period；Start watcher thread, when the data time-out in cache management redis units
During failure, then fail data is rejected into simultaneously persistence, i.e., will be permanently stored in the memories such as fail data deposit hard disk, same to markers
The bright data are without matched data.
Logical process bolt units include multiple logical process subelements, and different logical process subelements has different
Logic is handled, for repeatedly being handled same data, each logical process subelement can be used as minimal processing unit to exist；
Data transfer between logical process subelement is transmitted to next by the way of transmitting by a upper logical process subelement
Logical process subelement.
Cache management redis units are used to receive the Query Information of logical process bolt units and return the result, and are used for
Data after storage matching screening.
Fig. 2 is the flow chart of the wireless RF data screening technique provided in an embodiment of the present invention based on streaming computing；Such as
Shown in Fig. 2, a kind of wireless RF data screening technique based on streaming computing provided by the invention, comprises the following steps：
S1：Previously according to the wireless RF data type of definition, create message subject and specify the feature mark of message subject
Label, are distinguished by feature tag between message subject, and different message subjects is storing different types of less radio-frequency
Data；
S2：Wireless RF data is write in corresponding message subject according to data type；
S3：Data source spout units subscribe to the message subject in message queue kafka units, monitoring information queue kafka
The inflow of wireless RF data in unit；When there is data to write message queue kafka units, data source spout units pull
Presently written data are simultaneously parsed and cleaned to it according to predetermined resolution logic, it is ensured that the data format after processing is with patrolling
The data format for collecting processing bolt unit agreements is identical；And the data after processing are transmitted to logical process bolt units；
S4：Logical process bolt units receive the current data of data source spout units transmitting, query caching management
With the presence or absence of the historical data to match with current data in the certain negative period in redis units, if so, then rejecting caching pipe
Manage the matched data in redis units and by itself and currently received data persistence, while indicate the Data Matching；If it is not,
Then enter in next step；
S5：Currently received data are stored in cache management redis units, and its mistake is set according to the specific positive period
Imitate the time；Starting watcher thread, monitoring wireless rf data failure event, when there is data failure, is rejected simultaneously persistence,
Indicate the data without matched data at the same time.
Fig. 3 is the method flow that logical process bolt units provided in an embodiment of the present invention carry out data matching screening
Figure, specifically includes following steps：
S41：Logical process bolt units are inquired about according to the RF tag code of the wireless RF data of reception and obtain caching
It whether there is matched RF tag code in management redis units；If so, enter step S42；If it is not, enter step
S5；
S42：According to the RF tag code of acquisition, retrieve in cache management redis units and whether deposited in the certain negative period
In the record of registering of above-mentioned RF tag；If so, S43 is entered step, if it is not, entering step S5；
S43：The corresponding data of the matching label retrieved in cache management redis units are rejected, and will currently be received
Data and cache management redis units in the matched data persistence that is removed, while indicate the Data Matching；
A kind of wireless RF data screening plant and method based on streaming computing provided by the invention, by reception
Wireless RF data is monitored, pulled and launched in real time, and in the specific positive and negative period is carried out to wireless RF data stream
With screening, improve less radio-frequency mass data and give the efficiency of data screening, shorten number in conventional process pattern
According to the time of wait, the timeliness of data processing is improved.
As it will be easily appreciated by one skilled in the art that the foregoing is merely illustrative of the preferred embodiments of the present invention, not to
The limitation present invention, all any modification, equivalent and improvement made within the spirit and principles of the invention etc., should all include
Within protection scope of the present invention.
Claims (7)
1. a kind of wireless RF data screening plant based on streaming computing, it is characterised in that mono- including message queue kafka
Member, data source spout units, logical process bolt units and cache management redis units；
The message queue kafka units are used to receive and store wireless RF data；
The data source spout units are used to monitor, pull data presently written in message queue kafka units and solved
Analysis；
The logical process bolt units are used to receive the data after parsing, and inquiring about and obtain can in cache management redis units
With the historical data of currently received data match, according to processing logic set in advance to currently received data and described
Historical data carries out the matching screening in the specific positive and negative period, and the current data of successful match and historical data is lasting
Change；The current data of non-successful match is write into cache management redis units；And for monitoring in cache management redis units
Data failure event, reject overtime fail data；
The cache management redis units are used to receive the Query Information of logical process bolt units and return the result, and are used for
Caching current point in time can not matched data.
2. the wireless RF data screening plant based on streaming computing as claimed in claim 1, it is characterised in that it is described can
There is customized association screening to patrol between the RF tag code for the historical data matched somebody with somebody and the current RF tag code for receiving data
Volume；
When the RF tag code of the historical data has note of registering in cache management redis units in the certain negative period
Historical data is rejected and holds itself and currently received data by record, logical process bolt units from cache management Redis units
Longization；
When the historical data RF tag code in cache management redis units in the certain negative period without registering record,
Currently received data are stored in cache management redis units by logical process bolt units, and set the current data that receive to exist
The cache invalidation time of specific positive period.
3. the wireless RF data screening plant based on streaming computing as claimed in claim 1 or 2, it is characterised in that described
Message queue kafka units are additionally operable to create different message subjects according to pre-defined data type and specify the message
The feature tag of theme, is distinguished by the feature tag between message subject, and different message subjects is storing not
The wireless RF data of same type.
4. the wireless RF data screening plant based on streaming computing as claimed in claim 3, it is characterised in that the logic
Processing bolt units include multiple logical process subelements, and different logical process subelements has different processing logics, use
Repeatedly handled in same data；Carried out data transmission between the logical process subelement by the way of transmitting.
5. a kind of screening technique based on claim 1-4 any one of them wireless RF data screening plants, its feature exist
In comprising the following steps：
S1：The inflow of wireless RF data, when there is new data write-in, pulls and currently writes in monitoring information queue kafka units
The data that enter simultaneously parse it according to predetermined resolution logic；
S2：Logical process bolt units receive the certain negative period in the data after parsing and query caching management redis units
It is interior to whether there is matched historical data, if so, then entering step S3；If it is not, then enter step S4；
S3：The matching historical data retrieved in cache management redis units is rejected, and by currently received data with caching
The data persistence being removed in management redis units；
S4：When currently received data are stored in cache management redis units, and set its failure according to the specific positive period
Between；
S5：The data failure event in cache management redis units is monitored, when there is data failure, is rejected simultaneously persistence.
6. wireless RF data screening technique as claimed in claim 5, it is characterised in that further include following step before step S1
Suddenly：Previously according to the wireless RF data type of definition, the message subject with different characteristic label, different message masters are created
Inscribe to store different types of wireless RF data.
7. the wireless RF data screening technique as described in claim 5 or 6, it is characterised in that matching screening in step S2
Method comprises the following steps：
S21：According to receive data RF tag code, inquire about and obtain in cache management redis units whether there is and its phase
Matched RF tag code, there is between the RF tag code customized association to screen logic；If so, then enter step
S22；If it is not, then enter step S4；
S22：According to the RF tag code of acquisition, it is interior with the presence or absence of upper to retrieve the certain negative period in cache management redis units
State the record of registering of RF tag code；If so, then enter step S3；If it is not, then enter step S4.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112035437A (en) * | 2020-08-31 | 2020-12-04 | 平安医疗健康管理股份有限公司 | Method and device for transmitting medical record data, computer equipment and storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| RU2233119C1 (en) * | 2003-06-24 | 2004-07-27 | Центральный научно-исследовательский рентгено-радиологический институт | Method for predicting cardiac sarcoidosis |
| CN105657039A (en) * | 2016-02-15 | 2016-06-08 | 上海带来科技有限公司 | Big data based power plant equipment fault fast positioning system and method |
| CN105893269A (en) * | 2016-03-31 | 2016-08-24 | 武汉虹信技术服务有限责任公司 | Memory management method used in Linux system |
| CN107070890A (en) * | 2017-03-10 | 2017-08-18 | 北京市天元网络技术股份有限公司 | Flow data processing device and communication network major clique system in a kind of communication network major clique system |
| CN107133302A (en) * | 2017-04-28 | 2017-09-05 | 努比亚技术有限公司 | Realize method, system, terminal and the computer-readable recording medium of data consistency |
-
2017
- 2017-12-08 CN CN201711298865.0A patent/CN108009257B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| RU2233119C1 (en) * | 2003-06-24 | 2004-07-27 | Центральный научно-исследовательский рентгено-радиологический институт | Method for predicting cardiac sarcoidosis |
| CN105657039A (en) * | 2016-02-15 | 2016-06-08 | 上海带来科技有限公司 | Big data based power plant equipment fault fast positioning system and method |
| CN105893269A (en) * | 2016-03-31 | 2016-08-24 | 武汉虹信技术服务有限责任公司 | Memory management method used in Linux system |
| CN107070890A (en) * | 2017-03-10 | 2017-08-18 | 北京市天元网络技术股份有限公司 | Flow data processing device and communication network major clique system in a kind of communication network major clique system |
| CN107133302A (en) * | 2017-04-28 | 2017-09-05 | 努比亚技术有限公司 | Realize method, system, terminal and the computer-readable recording medium of data consistency |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112035437A (en) * | 2020-08-31 | 2020-12-04 | 平安医疗健康管理股份有限公司 | Method and device for transmitting medical record data, computer equipment and storage medium |
| CN112035437B (en) * | 2020-08-31 | 2024-02-13 | 平安医疗健康管理股份有限公司 | Transmission method and device for medical records data, computer equipment and storage medium |
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| CN108009257B (en) | 2020-09-11 |
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