CN106095967A - A kind of repetition of alarms recognition methods based on search engine and system - Google Patents
A kind of repetition of alarms recognition methods based on search engine and system Download PDFInfo
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- CN106095967A CN106095967A CN201610436993.6A CN201610436993A CN106095967A CN 106095967 A CN106095967 A CN 106095967A CN 201610436993 A CN201610436993 A CN 201610436993A CN 106095967 A CN106095967 A CN 106095967A
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Abstract
The present invention relates to a kind of repetition of alarms recognition methods based on search engine and system, said method comprising the steps of: S1, structure GIS address base；S2, setting incident key element weighted value and repetition of alarms threshold value；S3, based on search engine at the GIS address base most like incident address map reference of coupling, address base map reference the highest for matching degree is assigned to current incident address map reference；S4, determine incident address cover radius r, calculate in Δ t period the warning message in the range of covering radius according to incident address map reference；S5, Query Result based on step S4, the incident key element of the incident key element of current alerts information with Query Result is calculated matching degree by search engine and participle technique, comparison match degree and threshold value, matching degree then points out current alerts for repetition of alarms, and the contrast of correspondence warning message may to be shown higher than the warning of threshold value.Being capable of identify that effective repetition of alarms, recognition accuracy is higher, it is possible to increase connect efficiency of dealing with emergencies and dangerous situations.
Description
Technical field
The present invention relates to public security, is received a crime report in field in medical treatment, in particular, relates to a kind of based on search engine repetition and reports
Alert recognition methods and system.
Background technology
Existing duplicate message is known method for distinguishing and single key element text is mainly carried out participle calculating matching degree, and not to many
Key element participle matching primitives informix matching degree, causes matching degree the highest.And existing duplicate message knows method for distinguishing and do not relates to
And time, the matching treatment in space.Receiving a crime report field for public security, medical treatment, time, space are critically important key elements, for the time,
The matching treatment in space can mention the accuracy rate of duplicate message identification significantly.
Receive a crime report field in public security, medical treatment, provide can at present the person of receiving a crime report and identify that the instrument effectively repeating alert does not almost have
Have, identify that repeating alert more depends on experience and the fortune of people, repeats alert discrimination low, cause receiving a crime report, send alert, deal with emergencies and dangerous situations
Each link processes the situation repeating all to there is waste of human resource during alert.How effectively to be identified by intelligent method repeat alert
Feelings, reduce the wasting of resources, improve and connect efficiency of dealing with emergencies and dangerous situations, become problem demanding prompt solution.
Summary of the invention
In view of this, it is necessary to for the problems referred to above, it is provided that a kind of repetition of alarms recognition methods based on search engine and
System, it is possible to identify effective repetition of alarms, recognition accuracy is higher, it is possible to increase connect efficiency of dealing with emergencies and dangerous situations.
To achieve these goals, technical scheme is as follows:
A kind of repetition of alarms recognition methods based on search engine, comprises the following steps:
S1, structure GIS address base；
S2, setting incident key element weighted value and repetition of alarms threshold value；
S3, based on search engine at the GIS address base most like incident address map reference of coupling, matching degree is the highest
Address base map reference is assigned to current incident address map reference；
S4, determine incident address cover radius r, in calculating Δ t period according to incident address map reference, cover half
Warning message in the range of footpath；
S5, Query Result based on step S4, by the incident key element of the incident key element of current alerts information Yu Query Result
Calculating matching degree, comparison match degree and threshold value by search engine and participle technique, matching degree is then pointed out higher than the warning of threshold value
Current alerts may be repetition of alarms, and the contrast of correspondence warning message shown.
As preferably, in step s 2, described incident key element includes incident address, incident time, incident type, warning
People's name, alarm people's phone, description of reporting to the police.
As preferably, described step S3 specifically includes: incident address carries out participle, and by search engine by participle
Result is mated with GIS address base address, and address base map reference the highest for matching degree is assigned to ground, current incident address
Figure coordinate.
As preferably, in described step S4, the bar that in regular period Δ t, warning message in the range of covering radius meets
Part is:
Incident time t2 < Δ t to be checked for incident time t1
(incident address coordinate longitude x) to be checked for incident address coordinate longitude lon2+ (incident address coordinate latitude
Incident address coordinate latitude y) to be checked for lat2< incident address cover radius r2(distance is converted into latitude unit).
As preferably, in described step S2, test according to incident component attributes and batch data and determine each key element weight
Value (v1, v2, v3...vN), threshold value Vmin.
As preferably, described step S5 specifically includes: by the thing of the incident key element of current alerts information Yu Query Result
Send out key element and calculate matching degree by search engine and participle technique, obtain each key element matching degree (m1, m2, m3...mN), with every
Warning message matching degree (v1*m1, v2*m2, v3*m3...vN*mN), matching degree compares with threshold value Vmin, more than Vmin's
Warning message then prompts for may repetition of alarms.
As preferably, described incident each key element matching degree calculate warning message matching degree and threshold ratio compared with process bag
Include:
v1*m1+v2*m2+v3*m3...+vN*mN>Vmin。
As preferably, also include step S6:
The repetition of alarms information contrast of current alerts information with identification is shown, carries out artificial secondary-confirmation.
A kind of system carrying out repetition of alarms identification according to said method, including alarm module and repetition of alarms identification mould
Block, described alarm module includes alarm receiving system client and alarm receiving system data base；Described repetition of alarms identification module includes ground
Storehouse, location, participle instrument, search engine, comparison judgment unit；
Described alarm receiving system client for being entered into alarm receiving system data base by alert data；Described alarm receiving system data
Storehouse is used for storing alert data；
Described address base is used for building GIS address base；Described participle instrument is for carrying out automatic word segmentation to key word；Described
Search engine is for mating word segmentation result, and calculates matching degree；
Described comparison judgment unit is used for arranging threshold value, matching degree is compared with threshold value, and more than the warning of threshold value
Information then prompts for the information of possible repetition of alarms letter.
As preferably, described repetition of alarms module also includes a display unit, is identified as repeating report for display
Alert warning message.
Compared with prior art, the beneficial effects of the present invention is: the present invention combines GIS address base, participle coupling gives
Incident address map reference, and do not rely on alarm people and must provide for GPS coordinate information, currently report according to each element factor calculation of incident
The alarming information matching degree with history warning message and the comparison of threshold value, give whether the person's of receiving a crime report offer is the effective ginseng repeating alert
Examine, it is possible to effectively identify whether, for repeating alert, to improve and connect efficiency of dealing with emergencies and dangerous situations.
Accompanying drawing explanation
Fig. 1 is the method flow diagram of the embodiment of the present invention；
Fig. 2 is embodiment of the present invention system architecture diagram.
Detailed description of the invention
Below in conjunction with the accompanying drawings with embodiment to a kind of repetition of alarms recognition methods based on search engine of the present invention
It is described further with system.
The following is a kind of repetition of alarms recognition methods based on search engine of the present invention and the preferred example of system,
The most therefore protection scope of the present invention is limited.
Fig. 1 shows a kind of repetition of alarms recognition methods based on search engine, comprises the following steps:
S1, structure GIS (Geographic Information System, GIS-Geographic Information System) address base；In this reality
Executing in example, GIS address library data is originated following several ways: storehouse, public security normal address, Gao De or other GIS producer addresses
Storehouse, the address of autonomic learning, be included into address base automatically according to incident address after being positioned manually.
S2, setting incident key element weighted value and repetition of alarms threshold value；
S3, based on search engine at the GIS address base most like incident address map reference of coupling, matching degree is the highest
Address base map reference is assigned to current incident address map reference；
S4, determine incident address cover radius r, in calculating Δ t period according to incident address map reference, cover half
Warning message in the range of footpath；
S5, Query Result based on step S4, by the incident key element of the incident key element of current alerts information Yu Query Result
Calculating matching degree, comparison match degree and threshold value by search engine and participle technique, matching degree is then pointed out higher than the warning of threshold value
Current alerts may be repetition of alarms, and the contrast of correspondence warning message shown.Participle instrument may select HTTPCWS,
IKAnalyzer etc..Search engine, also has multiple can selection, such as Solr, Elasticsearch etc.
As preferably, in step s 2, described incident key element includes incident address, incident time, incident type, warning
People's name, alarm people's phone, description of reporting to the police.
As preferably, described step S3 specifically includes: incident address carries out participle, and by search engine by participle
Result is mated with GIS address base address, and address base map reference the highest for matching degree is assigned to ground, current incident address
Figure coordinate.
As preferably, in described step S4, incident address transit square degree (lon, lat), incident address to be checked
Transit square degree (x, y), incident time t1, incident time t2 to be checked, regular period range delta t, calculate and meet condition
History warning message.The condition that in regular period Δ t, warning message in the range of covering radius meets is:
t1—t2<Δt
(lon—x)2+(lat—y)2<r2(distance is converted into latitude unit).
As preferably, in described step S2, test according to incident component attributes and batch data and determine each key element weight
Value (v1, v2, v3...vN), threshold value Vmin.
As preferably, described step S5 specifically includes: by the thing of the incident key element of current alerts information Yu Query Result
Send out key element and calculate matching degree by search engine and participle technique, obtain each key element matching degree (m1, m2, m3...mN), with every
Warning message matching degree (v1*m1, v2*m2, v3*m3...vN*mN), matching degree compares with threshold value Vmin, more than Vmin's
Warning message then prompts for may repetition of alarms.
As preferably, described incident each key element matching degree calculate warning message matching degree and threshold ratio compared with process bag
Include:
v1*m1+v2*m2+v3*m3...+vN*mN>Vmin；Obtaining of the most each key element matching degree (m1, m2, m3...mN) value
Take is to be calculated the result after each key element participle based on search engine.
As preferably, also include step S6:
The repetition of alarms information contrast of current alerts information with identification is shown, carries out artificial secondary-confirmation.
Fig. 2 shows a kind of system carrying out repetition of alarms identification according to said method, including alarm module and repeat report
Alert identification module, described alarm module includes alarm receiving system client and alarm receiving system data base；Described repetition of alarms identification mould
Block includes address base, participle instrument, search engine, comparison judgment unit；
Described alarm receiving system client for being entered into alarm receiving system data base by alert data；Described alarm receiving system data
Storehouse is used for storing alert data；
Described address base is used for building GIS address base；Described participle instrument is for carrying out automatic word segmentation to key word；Described
Search engine is for mating word segmentation result, and calculates matching degree；
Described comparison judgment unit is used for arranging threshold value, matching degree is compared with threshold value, and more than the warning of threshold value
Information then prompts for the information of possible repetition of alarms letter.
As preferably, described repetition of alarms module also includes a display unit, is identified as repeating report for display
Alert warning message, can show the repetition of alarms information contrast of current alerts information with identification, carry out artificial secondary-confirmation.
Compared with prior art, the beneficial effects of the present invention is: the present invention combines GIS address base, participle coupling gives
Incident address map reference, and do not rely on alarm people and must provide for GPS coordinate information, currently report according to each element factor calculation of incident
The alarming information matching degree with history warning message and the comparison of threshold value, give whether the person's of receiving a crime report offer is the effective ginseng repeating alert
Examine, it is possible to effectively identify whether, for repeating alert, to improve and connect efficiency of dealing with emergencies and dangerous situations.
Embodiment described above only have expressed the several embodiments of the present invention, and it describes more concrete and detailed, but also
Therefore the restriction to the scope of the claims of the present invention can not be interpreted as.It should be pointed out that, for those of ordinary skill in the art
For, without departing from the inventive concept of the premise, it is also possible to make some deformation and improvement, these broadly fall into the guarantor of the present invention
Protect scope.Therefore, the protection domain of patent of the present invention should be as the criterion with claims.
Claims (10)
1. a repetition of alarms recognition methods based on search engine, it is characterised in that comprise the following steps:
S1, structure GIS address base；
S2, setting incident key element weighted value and repetition of alarms threshold value；
S3, based on search engine at the GIS address base most like incident address map reference of coupling, by address the highest for matching degree
Storehouse map reference is assigned to current incident address map reference；
S4, determine incident address cover radius r, calculate covering radius model in Δ t period according to incident address map reference
Enclose interior warning message；
S5, Query Result based on step S4, pass through the incident key element of the incident key element of current alerts information with Query Result
Search engine and participle technique calculate matching degree, comparison match degree and threshold value, and matching degree is then pointed out currently higher than the warning of threshold value
Warning may be repetition of alarms, and the contrast of correspondence warning message shown.
Repetition of alarms recognition methods based on search engine the most according to claim 1, it is characterised in that in step S2
In, described incident key element includes incident address, incident time, incident type, alarm people's name, alarm people's phone, reporting to the police describes.
Repetition of alarms recognition methods based on search engine the most according to claim 1, it is characterised in that described step S3
Specifically include: incident address is carried out participle, and by search engine, word segmentation result is mated with GIS address base address,
Address base map reference the highest for matching degree is assigned to current incident address map reference.
Repetition of alarms recognition methods based on search engine the most according to claim 1, it is characterised in that described step S4
In, the condition that in regular period Δ t, warning message in the range of covering radius meets is:
Incident time t2 < Δ t to be checked for incident time t1
(incident address coordinate longitude x) to be checked for incident address coordinate longitude lon2+ (incident address coordinate latitude lat treats
The incident address coordinate latitude y) of inquiry2< incident address cover radius r2(distance is converted into latitude unit).
Repetition of alarms recognition methods based on search engine the most according to claim 1, it is characterised in that described step S2
In, test according to incident component attributes and batch data and determine each key element weighted value (v1, v2, v3...vN), threshold value Vmin.
Repetition of alarms recognition methods based on search engine the most according to claim 5, it is characterised in that described step S5
Specifically include: the incident key element of the incident key element of current alerts information with Query Result is passed through search engine and participle technique meter
Calculate matching degree, obtain each key element matching degree (m1, m2, m3...mN), with every warning message matching degree (v1*m1, v2*m2, v3*
M3...vN*mN), matching degree compares with threshold value Vmin, and the warning message more than Vmin then prompts for may repetition of alarms.
Repetition of alarms recognition methods based on search engine the most according to claim 6, it is characterised in that described incident is each
Key element matching degree calculate warning message matching degree and threshold ratio compared with process include:
v1*m1+v2*m2+v3*m3...+vN*mN>Vmin。
Repetition of alarms recognition methods based on search engine the most according to claim 6, it is characterised in that also include step
S6:
The repetition of alarms information contrast of current alerts information with identification is shown, carries out artificial secondary-confirmation.
9. the system carrying out repetition of alarms identification according to the arbitrary described method of claim 1 to 8, it is characterised in that bag
Including alarm module and repetition of alarms identification module, described alarm module includes alarm receiving system client and alarm receiving system data base；
Described repetition of alarms identification module includes address base, participle instrument, search engine, comparison judgment unit；
Described alarm receiving system client for being entered into alarm receiving system data base by alert data；Described alarm receiving system data base uses
In storage alert data；
Described address base is used for building GIS address base；Described participle instrument is for carrying out automatic word segmentation to key word；Described search
Engine is for mating word segmentation result, and calculates matching degree；
Described comparison judgment unit is used for arranging threshold value, matching degree is compared with threshold value, and more than the warning message of threshold value
Then prompt for the information of possible repetition of alarms letter.
Repetition of alarms identification system the most according to claim 1, it is characterised in that described repetition of alarms module also includes
One display unit, is identified as the warning message of possible repetition of alarms for display.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109657014A (en) * | 2018-12-05 | 2019-04-19 | 上海电科智能系统股份有限公司 | A kind of traffic events reduction portrait method based on multidimensional multi-source data |
| CN110532292A (en) * | 2019-08-20 | 2019-12-03 | 深圳追一科技有限公司 | Alert string and method, apparatus, equipment and storage medium |
| CN111339233A (en) * | 2020-02-26 | 2020-06-26 | 集奥聚合(北京)人工智能科技有限公司 | Address safety identification control method |
| CN111382779A (en) * | 2019-12-31 | 2020-07-07 | 清华大学 | Alarm condition similarity recognition method, device and equipment |
| CN112185083A (en) * | 2019-07-04 | 2021-01-05 | 北京航天长峰科技工业集团有限公司 | Repeated alarm judging method |
| CN112801508A (en) * | 2021-01-28 | 2021-05-14 | 迪爱斯信息技术股份有限公司 | Auxiliary warning condition processing system and method |
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| CN102393993A (en) * | 2011-07-06 | 2012-03-28 | 江苏省莱科信息技术有限公司 | Emergency rescuing system |
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2016
- 2016-06-17 CN CN201610436993.6A patent/CN106095967A/en active Pending
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN102393993A (en) * | 2011-07-06 | 2012-03-28 | 江苏省莱科信息技术有限公司 | Emergency rescuing system |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109657014A (en) * | 2018-12-05 | 2019-04-19 | 上海电科智能系统股份有限公司 | A kind of traffic events reduction portrait method based on multidimensional multi-source data |
| CN112185083A (en) * | 2019-07-04 | 2021-01-05 | 北京航天长峰科技工业集团有限公司 | Repeated alarm judging method |
| CN110532292A (en) * | 2019-08-20 | 2019-12-03 | 深圳追一科技有限公司 | Alert string and method, apparatus, equipment and storage medium |
| CN111382779A (en) * | 2019-12-31 | 2020-07-07 | 清华大学 | Alarm condition similarity recognition method, device and equipment |
| CN111382779B (en) * | 2019-12-31 | 2024-04-30 | 清华大学 | Police condition similarity recognition method, device and equipment |
| CN111339233A (en) * | 2020-02-26 | 2020-06-26 | 集奥聚合(北京)人工智能科技有限公司 | Address safety identification control method |
| CN111339233B (en) * | 2020-02-26 | 2023-08-29 | 集奥聚合(北京)人工智能科技有限公司 | Address security identification control method |
| CN112801508A (en) * | 2021-01-28 | 2021-05-14 | 迪爱斯信息技术股份有限公司 | Auxiliary warning condition processing system and method |
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