CN108932781B - RSSI threshold value self-learning method in access control management scene - Google Patents

RSSI threshold value self-learning method in access control management scene Download PDF

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CN108932781B
CN108932781B CN201810836581.0A CN201810836581A CN108932781B CN 108932781 B CN108932781 B CN 108932781B CN 201810836581 A CN201810836581 A CN 201810836581A CN 108932781 B CN108932781 B CN 108932781B
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rssi
threshold value
value
nmax
max
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CN108932781A (en
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贾长君
马春红
赵波
王宏
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ZTE Intelligent IoT Technology Co Ltd
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ZTE Intelligent IoT Technology Co Ltd
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    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C9/00—Individual registration on entry or exit
    • G07C9/20—Individual registration on entry or exit involving the use of a pass
    • G07C9/29—Individual registration on entry or exit involving the use of a pass the pass containing active electronic elements, e.g. smartcards
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
    • G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
    • G06K7/10009—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation sensing by radiation using wavelengths larger than 0.1 mm, e.g. radio-waves or microwaves
    • G06K7/10019—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation sensing by radiation using wavelengths larger than 0.1 mm, e.g. radio-waves or microwaves resolving collision on the communication channels between simultaneously or concurrently interrogated record carriers.
    • G06K7/10108—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation sensing by radiation using wavelengths larger than 0.1 mm, e.g. radio-waves or microwaves resolving collision on the communication channels between simultaneously or concurrently interrogated record carriers. interrogating only those RFIDs that fulfill a predetermined requirement, e.g. selecting all RFIDs having the same speed and moving in a cloud like fashion, e.g. on the same train; interrogating only RFIDs having a certain predetermined temperature, e.g. in the same fridge, another possibility being the active ignoring of a group of tags that fulfill a predetermined requirement, equivalent to the Boolean NOT operation

Abstract

The RFID technology has wide application in an access control system, a proper RSSI detection threshold value needs to be found by continuously debugging the transmitting power and the antenna angle depending on the experience of a constructor in the prior art, and the difficulty in building the system is high. The invention provides a self-learning method of an RSSI threshold value, which comprises the following steps: setting initial values in a data processing system, specifically setting a uniform RSSI maximum value S for all vehicles according to experiencemaxSetting a uniform initial RSSI threshold value S for all vehicles according to experience0(ii) a When the RFID reading equipment reads the RFID label placed on the vehicle for the nth time, the RSSI value at the moment is recorded, and when the RSSI value is more than or equal to S0The overtime vehicle passing data is valid; the RSSI values of other vehicles measured within 1 minute after recording are found out, and the maximum value S is found outnmax(ii) a Calculating the latest RSSI threshold value S after the nth vehicle passingnIf S isnmaxGreater than SmaxThen, the calculation formula is: sn＝Smax*0.3+S00.7, otherwise the calculation formula is: sn＝Snmax*0.3+S0*0.7。

Description

RSSI threshold value self-learning method in access control management scene
Technical Field
The invention belongs to the field of RFID (radio frequency identification) tag identification, and particularly relates to a self-learning method for an RSSI (received signal strength indicator) threshold in an entrance guard management scene.
Background
Radio Frequency Identification (RFID) technology is very popular in access control systems due to its low cost and high replication difficulty. However, the problems of poor production consistency of the RFID tags, different mounting heights of the tags, different angles and materials of vehicle windshields and multipath effect generated in the field environment are solved; the difficulty of controlling the coverage area and configuring the transmitting power of the field RFID reading equipment is very high. If the power configuration is too high, the coverage area for tag reading is increased, the tags with good performance can be identified at a long distance, and the problem that the RFID tags with the authority of the rear vehicle are read while the RFID tags without the authority of the front vehicle normally enter can occur. If the power configuration is too small, many tags with poor performance cannot be identified, and the problem that the vehicle authorized by the RFID tag cannot normally enter the RFID tag can be solved.
In the prior art, two methods for solving the problem of inconsistent reading distances of the RFID tags are mainly used:
one method is to rely on empirical field testing. The transmitting power and the antenna angle are continuously adjusted to find a suitable parameter by depending on the experience of a constructor. The ideal scene that reading omission and car following are avoided is expected to be achieved. Through actual field verification, the method is difficult to achieve the expected effect. Or the condition of reading missing or the condition of reading mistakenly with the car occurs, and the field manual processing of an administrator is needed.
Another approach is to filter tags with low signal strength depending on the RSSI values. The strength of the signal received by the RFID tag reading device is generally the stronger the closer the signal. When the system is designed, an RSSI threshold value is set according to experience, identification results smaller than the RSSI threshold value are discarded, and identification results larger than the RSSI threshold value are reported. The method solves the problem of misjudgment caused by reporting of the identification result due to the long-distance multipath effect to a certain extent. In actual use, a single RSSI threshold value cannot be designed for field test of all vehicles, only one uniform RSSI threshold value can be set, and the problem that the vehicle identification ranges of the RFID tags are inconsistent cannot be thoroughly solved by the method. When the RSSI threshold is set too high, a vehicle with poor performance needs a very short distance to be identified, and when the RSSI threshold is set too low, a misjudgment situation that a following vehicle identifies and reads the entering of a preceding vehicle occurs. Meanwhile, the performance of the RFID tag is reduced to a certain extent after the RFID tag is used for a long time, and the RSSI value is reduced continuously; correspondingly, the RSSI threshold value in the system also needs to be updated and adjusted down frequently, which brings great troubles to field construction maintenance and system reliability.
Disclosure of Invention
Based on the above, a self-learning method of the RSSI threshold value in the access control management scene is provided, and the adopted technical scheme is as follows:
a self-learning method of RSSI threshold value in access control management scene, updating RSSI threshold value of a car includes the following steps:
step 1, when the automobile passes through the access control system for the nth time, reading data in an RFID tag placed on the automobile by an RFID reading device, recording an RSSI value at the moment, and judging whether the automobile passing data is valid or not based on the RSSI value;
step 2, when the vehicle passing data is valid, recording the RSSI values of other vehicles measured within set time, and finding out the maximum value Snmax；
Step 3. based on SnmaxAnd a preset threshold SmaxCalculating the latest RSSI threshold value S after the nth vehicle passing of the vehiclen。
Further, at the initial moment, a uniform RSSI maximum value S is set for all vehicles according to experiencemax。
Further, at the initial time, a uniform initial RSSI threshold value S is set for all vehicles according to experience0。
Further, in step 1, when the measured RSSI value is greater than or equal to the threshold value S stored in the previous timen-1And judging that the vehicle passing data is valid.
Further, the time set in step 2 was 1 minute.
Further, the threshold S is updated in step 3nWhen is, if SnmaxGreater than SmaxThen, the calculation formula is:
Sn＝Smax*0.3+S0*0.7
otherwise, the calculation formula is:
Sn＝Snmax*0.3+S0*0.7
wherein S0Is the set initial threshold value of the automobile.
Compared with the prior art, the invention has the beneficial effects that: the RSSI threshold value of the vehicle is updated by comparing the RSSI value reported in real time with the RSSI threshold value at the previous moment, so that the problem that the RSSI threshold value needs to be manually adjusted individually for different vehicles in the same reading control range is solved. The method provided by the invention can be used in an access control management system based on the RFID technology, and solves the problems of missed reading, follow-up reading and misreading of vehicle identification when the vehicle coverage is inconsistent after the RFID tag is installed.
Drawings
Fig. 1 is a flow chart of a RSSI threshold self-learning method.
Detailed Description
In the present embodiment, the hardware and systems used include RFID tags, RFID reading devices, and data processing systems.
As shown in fig. 1, the RSSI threshold self-learning method provided by the present invention comprises the steps of:
step 1, setting initial values in a data processing system, specifically setting a uniform RSSI maximum value S for all vehicles according to experiencemaxSetting a uniform initial RSSI threshold value S for all vehicles according to experience0；
Step 2, when the RFID reading equipment reads the RFID label placed on the vehicle A for the first time, the RSSI value at the moment is recorded, and when the RSSI value is more than or equal to S0The overtime vehicle passing data is valid;
step 3, recording the RSSI values of other vehicles measured within 1 minute after the vehicle is started to be detected, and finding out the maximum value S in the RSSI values1max；
Step 4, calculating the latest RSSI threshold value S after the 1 st vehicle passing1If S is1maxGreater than SmaxThen, the calculation formula is:
S1＝Smax*0.3+S0*0.7
otherwise, the calculation formula is:
S1＝S1max*0.3+S0*0.7
after the calculation, the RSSI threshold of vehicle a in the data processing system is updated.
The subsequent RSSI value updating process is the same as the above steps, that is, when the vehicle a enters the access control system for the nth time, the RSSI threshold value updating process is as follows:
step 5, when the RFID reading equipment reads the RFID label placed on the vehicle A for the nth time, the RSSI value at the moment is recorded, and when the RSSI value is more than or equal to Sn-1The overtime vehicle passing data is valid;
and 6, recording the RSSI values of other vehicles measured within 1 minute after the vehicle is started to be detected, and finding out the maximum value Snmax；
Step 7, calculating the latest RSSI threshold value S after the nth vehicle passingnIf S isnmaxGreater than SmaxThen, the calculation formula is:
Sn＝Smax*0.3+S0*0.7
otherwise, the calculation formula is:
Sn＝Snmax*0.3+S0*0.7
after the calculation, the RSSI threshold of vehicle a in the data processing system is updated.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and should not be taken as limiting the invention, so that any modifications, equivalents, improvements and the like, which are within the spirit and principle of the present invention, should be included in the scope of the present invention.

Claims (4)

1. A self-learning method of RSSI threshold value in access control management scene is characterized in that updating the RSSI threshold value of an automobile comprises the following steps:
step 1, when the automobile passes through the access control system for the nth time, reading data in an RFID tag placed on the automobile by an RFID reading device, and recording an RSSI value S at the momentnWhen the RSSI value S is measurednGreater than or equal to the threshold S of the previous storagen-1Judging that the vehicle passing data is valid;
step 2, when the vehicle passing data is valid, recording the RSSI values of other vehicles measured within set time, and finding out the maximum value Snmax；
Step 3. based on SnmaxAnd a maximum threshold S preset by RSSImaxCalculating the latest RSSI threshold value S after the nth vehicle passing of the vehiclen；
Updating the threshold S in step 3nWhen is, if SnmaxGreater than SmaxThen, the calculation formula is:
Sn＝Smax*0.3+S0*0.7
otherwise, the calculation formula is:
Sn＝Snmax*0.3+S0*0.7
wherein S0Is the set initial threshold value of the automobile.
2. The RSSI threshold self-learning method of claim 1, wherein a uniform RSSI maximum S is empirically set for all vehicles at an initial timemax。
3. The RSSI threshold self-learning method of claim 2, wherein at the initial time, a uniform initial RSSI threshold S is empirically set for all vehicles0。
4. The RSSI threshold self-learning method in an access control management scenario of claim 1, wherein the time set in step 2 is 1 minute.
CN201810836581.0A 2018-07-26 2018-07-26 RSSI threshold value self-learning method in access control management scene Active CN108932781B (en)

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CN101194293A (en) * 2005-06-06 2008-06-04 L·凯茨 System and method for variable threshold sensor
CN101341521A (en) * 2005-12-19 2009-01-07 L·凯茨 Portable monitoring unit
CN101655899A (en) * 2008-08-20 2010-02-24 中兴通讯股份有限公司 Method and system for evaluating radio frequency identification electronic label
CN101719299A (en) * 2009-11-10 2010-06-02 天津市浦海新技术有限公司 Alarm system and method for fire and combustible gas
CN101965590A (en) * 2008-03-05 2011-02-02 Fci有限公司 Communication domain restricting device for etcs terminal
EP2343814A1 (en) * 2010-01-11 2011-07-13 Coronis SAS Radio frequency receiver and method for dynamically adjusting a received signal strenght indication module
CN103487676A (en) * 2013-07-08 2014-01-01 重庆市城投金卡信息产业股份有限公司 Method and device used for testing performance of RFID electronic tag

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7171179B2 (en) * 2004-06-28 2007-01-30 Broadcom Corporation Adjustment of a received signal strength indication module

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101194293A (en) * 2005-06-06 2008-06-04 L·凯茨 System and method for variable threshold sensor
CN101341521A (en) * 2005-12-19 2009-01-07 L·凯茨 Portable monitoring unit
CN101965590A (en) * 2008-03-05 2011-02-02 Fci有限公司 Communication domain restricting device for etcs terminal
CN101655899A (en) * 2008-08-20 2010-02-24 中兴通讯股份有限公司 Method and system for evaluating radio frequency identification electronic label
CN101719299A (en) * 2009-11-10 2010-06-02 天津市浦海新技术有限公司 Alarm system and method for fire and combustible gas
EP2343814A1 (en) * 2010-01-11 2011-07-13 Coronis SAS Radio frequency receiver and method for dynamically adjusting a received signal strenght indication module
CN103487676A (en) * 2013-07-08 2014-01-01 重庆市城投金卡信息产业股份有限公司 Method and device used for testing performance of RFID electronic tag

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