CN101504603A - Filtering method model of RFID hardware intermediate part - Google Patents
Filtering method model of RFID hardware intermediate part Download PDFInfo
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- CN101504603A CN101504603A CNA2009100251174A CN200910025117A CN101504603A CN 101504603 A CN101504603 A CN 101504603A CN A2009100251174 A CNA2009100251174 A CN A2009100251174A CN 200910025117 A CN200910025117 A CN 200910025117A CN 101504603 A CN101504603 A CN 101504603A
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Abstract
The invention discloses a method for filtering a hardware middleware in the filed of RFID, and provides a two-layer filter model. Two filter layers are relatively independent, wherein the first filter layer eliminates repeated data; and the second filer layer extracts interesting data according to a rule set by a user. The model and the method can eliminate the repeated and error data to the utmost extent, extract the real interesting data for the user, save network bandwidth, and relieve the processing pressure of a user computer. The method also can greatly quicken the development of the hardware middleware of the RFID and impel the large-scale application deployment of the RFID.
Description
Technical field
The present invention relates to the hardware middleware field of RFID.
Background technology
RFID is the abbreviation of Radio Frequency Identification, i.e. radio-frequency (RF) identification.The RFID radio-frequency (RF) identification is a kind of contactless automatic identification technology, and it is by the automatic recognition objective object of radiofrequency signal and obtain related data, and identification work need not manual intervention, can work in various rugged surroundings.The RFID technology can be discerned high-speed moving object and can discern a plurality of labels simultaneously, and is swift and convenient to operate.
RF (Radio Frequency) technology is widely used in multiple field, comprise: logistics and supplies management, manufacture and assembling, aviation luggage is handled, mail/fast freight parcel is handled, document tracking/library management, animal identification sign and tracking, gate inhibition's control/electronic entrance ticket, road charge automatically (ETC).
At present, the reader of RFID both domestic and external and label manufacturer are very many, and have had the international organization of an EPCglobal doing standardized work.
As the RFID hardware middleware of setting up the RFID network, also be in the incipient stage of research and development.The TAP product that has Revasystem company to release has abroad begun to sell in the Chinese market layout, and does not domesticly also have similar products.Developing relevant product as early as possible, is the urgent task of domestic RFID circle.And in the exploitation of middleware, core is its filter method and data processing.
The shortcoming that existing RFID technology is used:
Current reader provides serial ports (RS232 or RS485) or network interface, is that directly or indirectly (by the hub or the Ethernet switch of serial ports) is connected on the user's computer.Data are from the reader to the user's computer, and any data processing is not carried out in the centre.There is following shortcoming in this kind mode:
■ networking difficulty is difficult to large scale deployment: reader is directly connected on the computing machine, causes Serial Port Line or netting twine too many, and is too complicated, can not carry out the reader large-scale network-estabilishing at all and dispose.
■ subscriber computer function complexity, ' one-machine-multi-function ', the burden of processing is heavy: subscriber computer not only will move business procedure, also will handle the data from each reader.And these data are basic does not just pass through any processing, repeat, even wrong data is too many, and these processing burden and modern computer softwares that all increased the weight of computing machine are wanted simplification, and the function Focus is runed counter to.In addition, because over-burden, system is also unstable.
■ is difficult to discover problems and solve them fast: along with increasing of reader number, network connects complicated more, when reader goes wrong, be in the action, and checks time-consuming taking a lot of work one by one.Address this problem, basic outlet is to come centralized maintenance by a unified management platform, and this also is the another one critical function of RFID hardware middleware.
Summary of the invention
At the problem that prior art exists, the invention proposes a kind of filtering method model of RFID hardware middleware.RFID hardware middleware is a such intermediate equipment, not only can the filtration treatment data, the unified maintenance of reader, operating platform can also be provided.The burden of subscriber computer is shared in the large scale deployment of easy-to-read device.Develop this kind hardware middleware, filter method is one of its core content.The present invention just provides a kind of effective core filter method, promotes the Application and Development of RFID hardware middleware.Its concrete technical scheme is:
A kind of filtering method model of RFID hardware middleware, data are carried out two layers of filtration: it is to weed out repeating data that ground floor filters; It is the interested data of setting according to the user of Rule Extraction that the second layer filters.
Described ground floor filtering model: reject the repeating part in the raw data, for the raw data that receives, be stored in the unidirectional data link table, the node node structure of chained list is divided into three parts, the pointer next of the time of reception time of data data, data, sensing next node; When receiving data, ergodic data chained list at first compares with the data field of each node, if there is identical data, then abandons; If there are not identical data, give next processing procedure with these data;
Described second layer filtering model: according to the user filtering rule of setting, extract qualified data, the structure of filter rule list is deposited with the form of chained list, comprises three parts: filtering rule rule, filter the subscriber subscriber of back data, next node pointer next; Data data travels through filtering rule one by one, if there are qualified data, then extracts the copy of data, then with data integration; Through the raw data after all user policies filtrations, will be abandoned.
Beneficial effect of the present invention:
The present invention provides the guidance method of data filter can for the manufacturer that develops RFID hardware middleware later on by method is provided, and quickens the development and application of middleware product, also promotes the developing in entire RF ID market.This method has following advantage:
1, at first do not see similar method model, belong to domestic initiation.
2, method structure, stratification meets the layering thought of computer technology.
3, realize simply being beneficial to system debug.
4, method has dirigibility, and the user can take one deck in the model or two-layer filtration thought.
5, to developing state-owned hardware middleware fast, provide the support of core filter method
Description of drawings
Fig. 1 is the method model principle image figure of the embodiment of the invention;
Fig. 2 has the identical data synoptic diagram in the embodiment of the invention filter process;
Fig. 3 is a no identical data synoptic diagram in the embodiment of the invention filter process;
Fig. 4 is an embodiment of the invention second layer filter process synoptic diagram.
Concrete technical scheme
Below in conjunction with realization flow figure, this method model is described further.
Present embodiment provides " two-layer filtration " model, and data are carried out layered filtration, as shown in Figure 1, the principle of method model image figure: relatively independent between two filtering layers, the function emphasis is respectively arranged.It is to weed out repeating data that ground floor filters; It is the interested data of setting according to the user of Rule Extraction that the second layer filters.
1. ground floor filters: reject the data that repeat.Enter the place of hardware middleware at first in data, data are carried out filtration work.Filter through this, can weed out the data of repetition, mistake, reach the data volume that reduces subsequent treatment, the purpose of mitigation system pressure.
2. the second layer filters: extract the user's interest data.Rule according to the user sets extracts qualified data, makes up according to customer requirements then, offers next step processing.Through the raw data after all user policies filtrations, will be abandoned.Second layer filtration fraction is the core of whole filtering model.
The ground floor filter method:
Function: reject the repeating part in the raw data.
Data structure: for the raw data that receives, be stored in the unidirectional data link table, the node node structure of chained list is divided into the time of reception time of three part: data data, data, the pointer next of sensing next node.
struct?data_node{
DATA data;
Store data
Time_t time;
Receive the time of data
Struct data_node* next;
Point to next node
}；
The structure of data link table: construct a head pointer earlier, its next node pointer is empty null.This chained list is actual to be an empty table.On room and time, chained list has two restrictive conditions:
The ■ space constraint: chain table space maximal value MAX_SPACE, promptly the shared space of chained list can not infinitely enlarge, and is MAX_SPACE to the maximum.When space condition does not satisfy, then delete the node of ' always ' of time of reception time
The ■ time restriction: ' current system time now ' deducts time time ' that node the earliest receives less than ' node time difference maximal value MAX_TIME '.This restriction is the node problem of aging that solves chained list.That is: when node too ' always ', with deleted.Node time difference maximal value MAX_TIME is specifically selected to set by the user as the case may be, and the developer can provide recommendation.
Filter process is described: when receiving data, ergodic data chained list at first compares with the data field of each node, in two kinds of situation: identical data is arranged and do not have identical data
If there is identical data in ■, then these data belong to repetition, then abandon, and do not give next process and handle.As shown in Figure 2, for the identical data synoptic diagram is arranged in the embodiment of the invention filter process.
If ■ does not have identical back end, illustrate and in official hour and space, do not receive these data, give next processing procedure with these data.In addition, if satisfy two restrictive conditions in time, space of chained list, then these data are joined last node of chained list.As shown in Figure 3, be no identical data synoptic diagram in the embodiment of the invention filter process.
Second layer filter method:
Function: be according to the user filtering rule of setting, extract the user's interest data.
Data structure: the structure of filter rule list is deposited with the form of chained list.Mainly comprise three parts: filtering rule rule, filter the subscriber subscriber of back data, next node pointer next.
struct?filter_rule_node{
Char rule;
Deposit filtering rule
Lnt subscriber;
Regular data subscriber
Struct filter_rule_node* next;
Point to next node
}；
The structure of chained list: construct a head pointer earlier, its next node pointer is empty null, promptly empty chained list.Then with user-defined filtering rule, be inserted into chained list one by one with the form of node.A user policy, a node.
Filter process is described: (with reference to Fig. 4)
■ data data is at first filtered by rule 1, if the data that meet are arranged, and the copying data that will meet come out (noting: be that copy is a, rather than shear) then.Data data gives next rule treatments;
■ data data continues to be filtered by next one rule 2, carries out and regular 1 same action.
■ circulates, and this moves, and is all handled one time by all filtering rules up to data data;
■ abandons data data at last.
What filter out meets each regular data, and the processing regulation according to the user generates the final data newspaper.This method of filtering layer by layer and the pure water in the daily life filter play the same tune on different musical instruments wonderful, so among the present invention it also is referred to as " pure water filtering model ".
Though the present invention is described by embodiment, embodiment is used for limiting the present invention.Those skilled in the art can make various distortion and improvement in the scope of spirit of the present invention, so being as the criterion of should being defined with the application's claim protection domain of protection scope of the present invention.
Claims (8)
1, a kind of filter method of RFID hardware middleware is characterized in that, data are carried out layered filtration, and it is to weed out repeating data that ground floor filters; It is the interested data of setting according to the user of Rule Extraction that the second layer filters.
2, the ground floor filter method of RFID hardware middleware according to claim 1, it is characterized in that: enter the place of hardware middleware at first in data, data are carried out filtration work, weed out the data of repetition, mistake, reach the data volume that reduces subsequent treatment, mitigation system pressure.
3, the ground floor filter method of RFID hardware middleware according to claim 2 is characterized in that:
For the raw data that receives, be stored in the unidirectional data link table, the node node structure of chained list is divided into three parts, the pointer next of the time of reception time of data data, data, sensing next node;
When receiving data, ergodic data chained list at first compares with the data field of each node, if there is identical data, then these data belong to repetition, then abandon, and do not give next process and handle; If there is not identical back end, illustrate and in official hour and space, do not receive these data, give next processing procedure with these data.
4, the ground floor filter method of RFID hardware middleware according to claim 3, it is characterized in that: the structure of described data link table, construct a head pointer earlier, its next node pointer is empty null, on room and time, chained list has two restrictive conditions:
The ■ space constraint: ' chain table space maximal value MAX_SPACE ' multiply by ' node number ' greater than ' node size ';
The ■ time restriction: ' current system time now ' deducts that ' the time of reception time ' of node is less than ' node time difference maximal value MAX_TIME ' the earliest;
Behind the new data traversal chained list,, impose a condition down meeting, new data is added to the afterbody of chained list if there are not identical data.
5, the filter method of RFID hardware middleware according to claim 1, it is characterized in that, the second layer filters: extract the user's interest data, rule according to user's setting, extract qualified data, make up according to customer requirements then, offer next step processing, through the raw data after all user policies filtrations, will be abandoned.
6, the second layer filter method of RFID hardware middleware according to claim 5 is characterized in that, travels through filtering rule one by one, then with data integration:
The ■ packet if there are qualified data, then extracts the copy of data through filtering rule one, and raw data packets continues to give filtering rule two processing;
■ filtering rule two repeats the processing action of filtering rule one;
The ■ data have traveled through all rules, and raw data packets is abandoned;
■ extracts, and qualified data are integrated by the user, further handle.
7, the second layer filter method of RFID hardware middleware according to claim 6, it is characterized in that: the structure of filter rule list is deposited with the form of chained list, comprise three parts: filtering rule rule, filter the subscriber subscriber of back data, next node pointer next; The structure of chained list: first head pointer of structure, its next node pointer is empty null, promptly empty chained list with user-defined filtering rule, is inserted into chained list, a user policy, a node one by one with the form of node.
8, a kind of filtering model of RFID hardware middleware, it comprises ground floor filtering model and second layer filtering model, it is characterized in that,
Described ground floor filtering model: reject the repeating part in the raw data, for the raw data that receives, be stored in the unidirectional data link table, the node node structure of chained list is divided into three parts, the pointer next of the time of reception time of data data, data, sensing next node; When receiving data, ergodic data chained list at first compares with the data field of each node, if there is identical data, then abandons; If there are not identical data, give next processing procedure with these data;
Described second layer filtering model: according to the user filtering rule of setting, extract qualified data, the structure of filter rule list is deposited with the form of chained list, comprises three parts: filtering rule rule, filter the subscriber subscriber of back data, next node pointer next; Data data travels through filtering rule one by one, if there are qualified data, then extracts the copy of data, then with data integration; Through the raw data after all user policies filtrations, will be abandoned.
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
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| WO2010148974A1 (en) * | 2009-11-10 | 2010-12-29 | 中兴通讯股份有限公司 | Method, device and system for filtering characteristic information |
| CN102075193A (en) * | 2011-02-11 | 2011-05-25 | 中国科学院软件研究所 | Method based on time and position relationship for compressing and uncompressing RFID events |
| WO2013185691A1 (en) * | 2013-01-14 | 2013-12-19 | 中兴通讯股份有限公司 | Nfc terminal network application-oriented data preprocessing method and system |
| CN102004891B (en) * | 2009-09-03 | 2015-03-04 | 上海宝信软件股份有限公司 | Interprocess data communication method and device for RFID (Radio Frequency Identification Device) middleware |
| CN103646107B (en) * | 2013-12-25 | 2017-02-08 | 重庆梅安森科技股份有限公司 | RFID (Radio Frequency Identification) middleware event handling method used in coal safety supervision and management system |
| CN109754524A (en) * | 2019-01-09 | 2019-05-14 | 盈奇科技（深圳）有限公司 | A kind of unmanned gravity sensing sales counter picking response control mehtod |
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| US6705527B1 (en) * | 2000-06-01 | 2004-03-16 | Psc Scanning, Inc. | Universal interface driver system for data reader |
| CN1258731C (en) * | 2004-09-27 | 2006-06-07 | 北京维深电子技术有限公司 | Electronic label control system |
| KR100603612B1 (en) * | 2004-12-20 | 2006-07-24 | 한국전자통신연구원 | Apparatus and Method of RFID Reader Interface and Event Management for Heterogeneous Readers with Multi-Protocol |
| CN101042725A (en) * | 2007-04-13 | 2007-09-26 | 广东电子工业研究院有限公司 | Method for implementing label data-handling on RFID reader |
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| CN102004891B (en) * | 2009-09-03 | 2015-03-04 | 上海宝信软件股份有限公司 | Interprocess data communication method and device for RFID (Radio Frequency Identification Device) middleware |
| WO2010148974A1 (en) * | 2009-11-10 | 2010-12-29 | 中兴通讯股份有限公司 | Method, device and system for filtering characteristic information |
| CN102054153A (en) * | 2009-11-10 | 2011-05-11 | 中兴通讯股份有限公司 | Method, device and system for filtering feature information |
| CN102075193A (en) * | 2011-02-11 | 2011-05-25 | 中国科学院软件研究所 | Method based on time and position relationship for compressing and uncompressing RFID events |
| CN102075193B (en) * | 2011-02-11 | 2013-07-31 | 中国科学院软件研究所 | Method based on time and position relationship for compressing and uncompressing RFID events |
| WO2013185691A1 (en) * | 2013-01-14 | 2013-12-19 | 中兴通讯股份有限公司 | Nfc terminal network application-oriented data preprocessing method and system |
| CN103646107B (en) * | 2013-12-25 | 2017-02-08 | 重庆梅安森科技股份有限公司 | RFID (Radio Frequency Identification) middleware event handling method used in coal safety supervision and management system |
| CN109754524A (en) * | 2019-01-09 | 2019-05-14 | 盈奇科技（深圳）有限公司 | A kind of unmanned gravity sensing sales counter picking response control mehtod |
| CN110134547A (en) * | 2019-04-28 | 2019-08-16 | 平安科技（深圳）有限公司 | A kind of data de-duplication method and relevant apparatus based on middleware |
| CN110134547B (en) * | 2019-04-28 | 2023-08-18 | 平安科技（深圳）有限公司 | Middleware-based repeated data deleting method and related device |
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