CN108985559A - Air control data processing method, device, computer equipment and storage medium - Google Patents
Air control data processing method, device, computer equipment and storage medium Download PDFInfo
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Abstract
The present invention relates to field of computer technology, provide a kind of air control data processing method, device, computer equipment and storage medium, the described method includes: obtaining air control data, it is empty air control data as target data using regular collection, is not empty air control data using regular collection as basic data；The information similarity between the scene information in the scene information and each basic data in target data is calculated, obtains the basic data where the corresponding scene information of information similarity as data to be recommended；Calculate the event similarity between the scene event in the scene event and each data to be recommended in each target data；The corresponding data to be recommended of the maximum event similarity of numerical value are obtained, and by the air control rule in the data to be recommended, recommend the corresponding specialized company of target data.It is achieved at low cost the specialized company that the air control rule of effective anticipating risk is recommended in time and does not configure air control rule, the risk-aversion for improving specialized company is horizontal.
Description
Technical field
The present invention relates to field of computer technology more particularly to a kind of air control data processing methods, device, computer equipment
And storage medium.
Background technique
Currently, the business scenarios such as many shoppings at network, network trading carry out during, be easy to appear various loopholes,
Risk or economic crime phenomenon generally require the air control rule that adaptation is configured for all kinds of business scenario types, to easy high frequency
The case where business scenario of occurrence risk, protect business scenario safe with greater need for configuration air control rule, anticipating risk is reduced
Economic loss.
In traditional technology, generallys use manual type and specific aim point is carried out to all kinds of business scenarios of each specialized company
Corresponding air control rule is developed in analysis, and still, this mode development cycle is long, and input cost is high, and cannot provide in time effectively
The air control rule of anticipating risk.
Summary of the invention
Based on this, it is necessary in view of the above technical problems, provide a kind of wind by effective anticipating risk that can be inexpensive
Regulatory control then recommends the specialized company for not configuring air control rule in time, improves the air control number of the risk-aversion level of specialized company
According to processing method, device, computer equipment and storage medium.
A kind of air control data processing method, comprising:
Obtaining the air control data of each specialized company in air control database, wherein the air control data include scene information,
The corresponding scene event of each scene information, the corresponding regular collection comprising air control rule of each scene event,
And each regular corresponding air control hit rate of the air control；
It is empty air control data that the regular collection is filtered out from the air control data, as target data, and by institute
Stating regular collection not is empty air control data as basic data；
For each target data, calculate in scene information and each basic data in the target data
Information similarity between scene information, if the information similarity is greater than or equal to preset similarity threshold, obtaining should
Basic data where the corresponding scene information of information similarity, and using the basic data as data to be recommended；
It calculates between the scene event in the scene event and each data to be recommended in each target data
Event similarity；
The corresponding data to be recommended of the maximum event similarity of numerical value in the event similarity are obtained, and this is to be recommended
Air control rule in data, recommends the corresponding specialized company of the target data.
A kind of air control data processing equipment, comprising:
Data acquisition module, for obtaining the air control data of each specialized company in air control database, wherein the air control
Data include scene information, and the corresponding scene event of each scene information, corresponding each scene event includes wind
Regulatory control regular collection then and the corresponding air control hit rate of each air control rule；
Data screening module is empty air control data for filtering out the regular collection from the air control data, makees
It for target data, and is not empty air control data as basis data using the regular collection；
Information computational module calculates scene information in the target data and every for being directed to each target data
The information similarity between scene information in a basic data, if the information similarity is greater than or equal to preset phase
Like degree threshold value, then obtain the basic data where the corresponding scene information of information similarity, and using the basic data as to
Recommending data；
Event computing module, for calculating the scene event in each target data and each data to be recommended
In scene event between event similarity；
Regular recommending module, it is corresponding to be recommended for obtaining the maximum event similarity of numerical value in the event similarity
Data, and by the air control rule in the data to be recommended, recommend the corresponding specialized company of the target data.
A kind of computer equipment, including memory, processor and storage are in the memory and can be in the processing
The computer program run on device, the processor realize above-mentioned air control data processing method when executing the computer program
Step.
A kind of computer readable storage medium, the computer-readable recording medium storage have computer program, the meter
The step of calculation machine program realizes above-mentioned air control data processing method when being executed by processor.
Above-mentioned air control data processing method, device, computer equipment and storage medium, it is every in air control database by obtaining
The air control data of a specialized company, filtering out regular collection is empty air control data, is determined as not configuring the mesh of air control rule
Data are marked, and are not empty air control data as basic data using regular collection, to be conducive to subsequent be targetedly mesh
The air control rule that data find adaptation is marked, meanwhile, for each target data, calculate scene information in the target data and every
Information similarity between scene information in a basic data, if information similarity is greater than or equal to preset similarity threshold
Value, then obtain the basic data where the corresponding scene information of information similarity, and using the basic data as number to be recommended
According to, by data to be recommended can find target data adaptation air control rule range and direction, be conducive to subsequent from wait push away
Recommend and filter out optimal recommendation results in data, further, calculate scene event in each target data with each wait push away
The event similarity between the scene event in data is recommended, the corresponding data to be recommended of the maximum event similarity of numerical value are obtained,
And by the air control rule in the data to be recommended, the corresponding specialized company of target data is recommended, is achieved at low cost not have
The air control rule of adaptation is recommended in time by the specialized company of configuration air control rule, and the risk-aversion for improving specialized company is horizontal.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below by institute in the description to the embodiment of the present invention
Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations of the invention
Example, for those of ordinary skill in the art, without any creative labor, can also be according to these attached drawings
Obtain other attached drawings.
Fig. 1 is an application environment schematic diagram of air control data processing method in one embodiment of the invention；
Fig. 2 is a flow chart of air control data processing method in one embodiment of the invention；
Fig. 3 is the flow chart obtained in air control data processing method to air control data in one embodiment of the invention；
Fig. 4 is an implementation flow chart of step S5 in air control data processing method in one embodiment of the invention；
Fig. 5 is the process being updated in air control data processing method to air control database in one embodiment of the invention
Figure；
Fig. 6 is a schematic diagram of air control data processing equipment in one embodiment of the invention；
Fig. 7 is a schematic diagram of computer equipment in one embodiment of the invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are some of the embodiments of the present invention, instead of all the embodiments.Based on this hair
Embodiment in bright, every other implementation obtained by those of ordinary skill in the art without making creative efforts
Example, shall fall within the protection scope of the present invention.
Fig. 1 shows application environment provided in an embodiment of the present invention, which includes server-side and client,
In, it being attached between server-side and client by network, client is used to receive the recommendation request of specialized company's transmission, and
And server-side is sent by the recommendation request of the specialized company received, client specifically can be, but not limited to various individual calculus
Machine, laptop, smart phone, tablet computer and portable wearable device；Server-side is used for air control data
Reason, server-side can specifically be realized with the server cluster that independent server or multiple servers form.The present invention is implemented
The air control data processing method that example provides is applied to server-side.
Referring to Fig. 2, Fig. 2 shows the implementation processes of air control data processing method provided in this embodiment.Details are as follows:
S1: the air control data of each specialized company in air control database being obtained, wherein air control data include scene information,
The corresponding scene event of each scene information, the corresponding regular collection comprising air control rule of each scene event, and it is each
The corresponding air control hit rate of air control rule.
In the present embodiment, the mode for obtaining air control data specifically can be to be obtained from air control database in real time, can also
To be to be obtained from air control database at every predetermined time, can specifically be configured according to the needs of practical application, herein
With no restrictions.
Specifically, air control data include scene information, scene event, regular collection and air control hit rate, wherein scene letter
The corresponding relationship of breath and scene event can be one-to-one relationship, be also possible to one-to-many relationship；Scene event and rule
Then set is one-to-one relationship；Regular collection can be sky, also may include one or more air control rules；Each air control
Rule is one-to-one relationship with air control hit rate, and air control hit rate is that each scene event hits its corresponding air control rule
Number account for the scene event generation total degree percentage, for indicating the hit degree of each scene event.
For example, having a scene information " login " in the air control data of specialized company A, the scene information " login " is corresponding
Have a scene event " the login transaction interface of User IP ", has an air control rule in the corresponding regular collection of the scene event
" User IP is less than or equal to preset times, otherwise limits the User IP and step in the number that the same time can continuously log in
Record ".
S2: it is empty air control data that regular collection is filtered out from air control data, as target data, and by regular collection
It is not empty air control data as basic data.
In the present embodiment, target data is not configure the air control data of air control rule, and basic data is to be configured
There are the air control data of air control rule.
Specifically, the regular collection in air control data obtained in traversal step S1, if retrieving regular collection is sky,
It is target data by the air control data markers where the regular collection, if retrieving regular collection not is sky, by the rule set
Air control data markers where closing are basic data.
From a large amount of air control data got, the target data for not configuring air control rule is clearly distinguished, and
Air control rule-based approach data are configured with, subsequent in basic data, the air control rule of searching target data adaptation is conducive to.
S3: being directed to each target data, calculates the scene information in the target data and the scene in each basic data
It is similar to obtain the information if information similarity is greater than or equal to preset similarity threshold for information similarity between information
The basic data where corresponding scene information is spent, and using the basic data as data to be recommended.
In the present embodiment, information similarity can specifically be existed by calculating the word in the scene information in basic data
Ratio between the word total number of the scene information in number and target data occurred in scene information in target data
It obtains, details are as follows for the process of calculating information similarity:
Word segmentation processing is carried out to the scene information in the scene information and each basic data in target data respectively, is obtained
Target scene information lexical set and each base scene information lexical set, if the word in base scene information lexical set
Occur in target scene information lexical set once, be then labeled as " 1 ", occurs then similarly n times occur labeled as " 2 " twice
It then is labeled as " N ", is not occurred, then is labeled as " 0 ", finally obtains the word in each base scene information lexical set in mesh
The total degree occurred in mark scene information lexical set, and calculate word in each total degree and target scene information lexical set
The ratio of total number.Example is as follows:
Assuming that the scene information of a basic data is " discount activity ", this scene information is segmented to obtain
Base scene information lexical set be unit1: discount/preferential/activity, the scene information in a target data is " to promote
Preferential big discount activity " is unit2 to the target scene information lexical set after the scene information participle in target data: promoting
Pin/preferential/big discount/activity, the then total degree that the word in unit1 occurs in unit2 are 2, target scene information vocabulary
Word total number is 4 in set, and the ratio of word total number is 50% in the total degree and target scene information lexical set, i.e.,
Information similarity between the scene information and the scene information of target data is 50%.
Specifically, if the information similarity being calculated is greater than or equal to preset similarity threshold, the information is obtained
Basic data where the corresponding scene information of similarity, and using the basic data as data to be recommended.
For example, it is assumed that preset similarity threshold is 50%, above-mentioned example is continued to use, the scene information of basic data is " folding
Detain preferential activity " it with information similarity that the scene information of target data is " activity of promotional offer big discount " is 50%, the letter
It ceases similarity and is equal to preset similarity threshold, then obtain the basic data where the scene information, and the basic data is made
For data to be recommended.
It should be noted that word segmentation processing can be using the tool with participle function, herein with no restrictions.Preset phase
It can be specifically configured according to practical business demand like degree threshold value, herein with no restrictions.Calculating information similarity can also adopt
It is calculated with Jie Kade similarity formula or other similarity calculation modes, herein with no restrictions.
S4: the event between the scene event in the scene event and each data to be recommended in each target data is calculated
Similarity.
In the present embodiment, details are as follows for the process of calculating event similarity:
Word segmentation processing is carried out to the scene event in the scene event and each basic data in target data, obtains target
Scene event lexical set and each base scene event lexical set；
By target scene event lexical set respectively with each base scene event lexical set, duplicate removal merging is carried out, is obtained
Total event lexical set after scene event and the merging of each base scene event into target data, for example, it is assumed that target
Data A includes 1 scene event, shared according to the scene event of the obtained corresponding data to be recommended of target data A of step S3
10, then 10 total event lexical sets can be obtained；
Each word in target scene event lexical set is calculated, the word frequency in each total event lexical set obtains
To word frequency vector of the target scene event lexical set in each total event lexical set, and calculate each base scene thing
Each word in part lexical set, the word frequency in its corresponding total event lexical set, obtains each base scene event
The respective word frequency vector of lexical set；
Calculate target scene event lexical set each base scene event lexical set of word frequency vector sum word frequency to
The the value of the cosine similarity between amount, cosine similarity the big, indicates the field in the corresponding scene event of the value and target data
Scape event is more similar, the cosine similarity, that is, event similarity.
This step in order to better understand is now illustrated below:
Assuming that a base scene event is " the login transaction interface of User IP ", this base scene event is divided
The base scene event lexical set that word obtains is unit3: user/IP//login/transaction/interface, in a target data
Scene event be " user logins transaction interface using account number cipher ", in target data scene event participle after target
Scene event lexical set is unit4 :/interface is logined/traded to user/use/account/password/, and unit3 and unit4 is carried out
Duplicate removal merges, and obtains target scene event lexical set and base scene event lexical set, total event word finder after merging
It closes unit5: user/IP//login/transaction/interface/use/account/password/to login, the word calculated in unit3 exists
The word frequency of unit5: user 1, IP1,1, log in 1, transaction 1, interface 1, using 0, account 0, password 0 logins 0, calculates unit4
In word unit5 word frequency: user 1, IP0,0, log in 0, transaction 1, interface 1, using 1, account 1, password 1 is logined
1, the word frequency vector of available base scene event lexical set is (1,1,1,1,1,1,0,0,0,0), target scene event
The word frequency vector of lexical set is (1,0,0,0,1,1,1,1,1,1), according to cosine similarity formula, calculates target scene event
Cosine similarity between the word frequency vector of the word frequency vector sum base scene event lexical set of lexical set, obtained cosine value
It is 0.463, i.e., the event similarity between the scene event in the scene event and the target data is 0.463.
It should be noted that cosine similarity formula isWherein, xiIndicate basic field
The component of word frequency vector of the scape event lexical set in its corresponding total event lexical set, yiIndicate target scene event word
The component for the word frequency vector that remittance is integrated into each total event lexical set, p indicate the value of cosine similarity, and n indicates total event
The total number of word in lexical set, calculating event similarity can also be counted using simhash magnanimity similarity algorithm
Calculation or other similarity calculation modes, herein with no restrictions.
S5: the corresponding data to be recommended of the maximum event similarity of numerical value in event similarity are obtained, and this is to be recommended
Air control rule in data, recommends the corresponding specialized company of target data.
Specifically, the scene thing of scene event and each data to be recommended in target data is calculated from step S4
In event similarity between part, the maximum event similarity of numerical value is selected, the corresponding number to be recommended of the event similarity is obtained
According to, and by the air control rule in the data to be recommended, recommend the corresponding specialized company of target data.
It should be noted that the mode recommended specifically can be mail or instant message, it is also possible to other modes, specifically
It can be configured according to the needs of practical application, herein with no restrictions.
In the present embodiment, by obtaining the air control data of each specialized company in air control database, regular collection is filtered out
For empty air control data, it is determined as not configuring the target data of air control rule, and is not empty air control data by regular collection
As basic data, thus be conducive to the subsequent air control rule that adaptation is targetedly found for the target data, meanwhile, for
Each target data calculates the information between the scene information in the scene information and each basic data in each target data
Similarity obtains the corresponding scene letter of the information similarity if information similarity is greater than or equal to preset similarity threshold
Basic data where ceasing, and using the basic data as data to be recommended, target data can be found by data to be recommended
The range of the air control rule of adaptation and direction, be conducive to it is subsequent filter out optimal recommendation results from data to be recommended, and count
The method for calculating similarity, it is simple and fast, it is easily operated, further, calculate scene event in each target data and each
Event similarity between scene event in data to be recommended obtains the corresponding number to be recommended of the maximum event similarity of numerical value
According to, and by the air control rule in the data to be recommended, the corresponding specialized company of target data is recommended, for target data midfield
Scape event finds the air control rule suitable for the scene event, is achieved at low cost as the number of targets of no configuration air control rule
Recommend the air control rule of adaptation in time according to corresponding specialized company, the risk-aversion for being conducive to improve specialized company is horizontal.
In one embodiment, upon step s 2, and before step S3, the air control data processing method further include as
Lower step:
S6: if receiving the air control recommendation request of specialized company, target data is updated according to air control recommendation request.
Specifically, the air control recommendation request that air control data are not incorporated in the specialized company in air control database is received, is obtained
The air control data of the specialized company are taken, and using the air control data as updated target data, are saved in air control database.
In the present embodiment, the air control for receiving the specialized company that air control data are not incorporated in air control database is recommended
Request can search the air control rule of adaptation for the specialized company in air control database according to the air control recommendation request, and
The air control rule of the adaptation found is recommended into the specialized company, embodies practicability and broad applicability.
In one embodiment, as shown in figure 3, before step S1, which further includes following steps:
S7: monitoring each scene event of each specialized company, if detecting, scene event is triggered and hits this
Air control rule in the corresponding regular collection of scape event, then record the hit information of the scene event, wherein hitting information includes
The time of origin of the scene event and the air control rule of scene event hit.
In the present embodiment, scene event hits the rule of the air control in the corresponding regular collection of the scene event, refers to this
The situation occurred in scene event has violated the constraint condition in the air control rule of configuration, or has been more than the limitation in air control rule
Condition.
For example, it is assumed that having a scene event is " user can get coupons in neck certificate discount activity ", configuration
Air control rule is " User IP can only get a discount coupon, otherwise, limit the use of the IP ", and scene event specifically occurs
Process be user logged in businessman's software, click get coupon button, if detect same User IP within the same time,
100 discount coupons have been got in click, then may be to have user to carry out the unreasonable of discount coupon to businessman by rogue software to occupy,
Confirm that the air control rule configured with the scene event is disagreed, and use of the User IP in businessman's software will be limited, on the spot
Scape event hits the rule of the air control in the corresponding regular collection of the scene event.
Specifically, each scene event for monitoring each specialized company, the hair when scene event that will test is triggered
Raw time and scene event are in triggering, if hit the air control rule in the corresponding regular collection of the scene event, record
It in the air control log of air control database, can intuitively reflect the hit situation of each scene event, be conducive to subsequent to air control
The analysis and calculating of data.
S8: being spaced at every predetermined time, according to hit information, counts each scene event in the data of preset time period
Amount, wherein data volume includes each air control rule in the number regular collection corresponding with the scene event of scene event generation
The number being hit.
Specifically, it is spaced at every predetermined time, according to the hit information being recorded in step S7 in air control log, statistics
In the number regular collection corresponding with the scene event that the scene event of each scene event within a preset period of time occurs
The number that each air control rule is hit.
For example, it is assumed that preset time period is " No. 1 to No. 15 of January ", the example in step S7 is continued to use, is such as counted
It obtains in " No. 1 to No. 15 of January ", scene event " user can get coupons in neck certificate discount activity " occurs
Number be 500 times, hit its corresponding air control rule number be 5 times.
It should be noted that scheduled time interval and preset time period, can specifically carry out according to practical business demand
Setting, herein with no restrictions.
S9: according to data volume, the air control hit rate of each scene event is calculated.
In the present embodiment, the air control hit rate of each scene event be each scene event within a preset period of time should
The ratio for the number that the number and the scene event that each air control rule is hit in the corresponding regular collection of scene event occur,
Hit rate is higher, then it represents that the scene event is more easy to happen risk.
The example in step S8 is continued to use, as " user it is preferential can to get businessman in neck certificate discount activity to scene event
Air control hit rate of the certificate " within the period of " No. 1 to No. 15 of January " is 1%.
In the present embodiment, each scene event of each specialized company is monitored, the scene event that will test is triggered
When time of origin and scene event trigger when, if hit in the corresponding regular collection of the scene event air control rule,
In the air control log for recording air control database, it can intuitively reflect the hit situation of each scene event, be conducive to subsequent to wind
The analysis and calculating of data are controlled, thus time occurred by counting the scene event of each scene event within a preset period of time
The number that each air control rule is hit in number regular collection corresponding with the scene event, can calculate each scene event
Air control hit rate, the degree of the easy occurrence risk of each scene event can be fully demonstrated.
In one embodiment, as shown in figure 4, in step S5, i.e., the maximum event of numerical value is similar in acquisition event similarity
Corresponding data to be recommended are spent, and by the air control rule in the data to be recommended, recommend the corresponding specialized company of target data
Specifically comprise the following steps:
S501: the corresponding data to be recommended of the maximum event similarity of numerical value in event similarity are obtained, as criterion numeral
According to.
Specifically, the scene event of each target data and the scene thing of each data to be recommended obtained in the step S4
In event similarity between part, the maximum event similarity of numerical value is chosen, and by the corresponding air control data of the event similarity
As the normal data to be recommended to specialized company.
S502: from normal data, filtering out the maximum air control hit rate of numerical value, and by the corresponding wind of air control hit rate
Regulatory control then, recommends the corresponding specialized company of target data.
Specifically, according to the air control hit rate for each scene event for being counted and being calculated in step S9, in criterion numeral
In, the maximum air control hit rate of numerical value is filtered out, and by the corresponding air control rule of the air control hit rate, as most adaptation objective
The air control rule of data, recommends the corresponding specialized company of target data.
For example, having a scene event " in shopping platform, carrying out purchase transaction ", the scene event pair in normal data
There should be air control rule one " otherwise every transaction amount of money, is shut the book no more than 20,000 yuan ", and air control hit rate is 5%, is had
Air control rule two " daily transaction count must not exceed 20 times, otherwise, shut the book ", and air control hit rate is 2%, then chooses
Air control hit rate is 5% corresponding air control rule one, recommends the corresponding specialized company of target data.
In the present embodiment, by choosing the maximum event similarity of numerical value, and by the corresponding air control of event similarity
Data as the normal data to be recommended to specialized company, meanwhile, from normal data, filter out numerical value maximum air control hit
Rate, and the corresponding air control rule of the air control hit rate is recommended into target data as the air control rule of most adaptation objective data
Corresponding specialized company, air control hit rate can intuitively reflect the degree of its corresponding easy occurrence risk of scene event, favorably
In the level for the scene event anticipating risk for improving the target data.
In one embodiment, as shown in figure 5, after step s 5, which further includes following steps:
S10: according to the confirmation message of the corresponding specialized company's feedback of target data, the specialized company in confirmation message is obtained
The target air control rule of confirmation.
Specifically, the confirmation message of the corresponding specialized company's feedback of target data is received, contains this in confirmation message
The air control rule for the recommendation that specialized company's confirmation uses, wherein this is identified the air control rule used, advises as target air control
Then.
S11: in air control database, target air control rule is configured in the corresponding regular collection of target data.
Specifically, according to the target air control rule got in step S10, the air control data in air control database are updated,
Target air control rule is configured in the corresponding regular collection of target data.
In the present embodiment, it according to the confirmation message of the corresponding specialized company's feedback of target data, obtains in confirmation message
The target air control rule of specialized company confirmation, and in air control database, target air control rule is configured to target data pair
In the regular collection answered, air control data are updated, on the one hand can fully demonstrate the target data for being configured with air control rule
Hit situation on the other hand can use air control data, with the target data to have similar or identical scene, do not match but
Other specialized companies of air control rule are set, the recommendation of air control rule is carried out, is conducive to the water for improving each specialized company's anticipating risk
It is flat.
It should be understood that the size of the serial number of each step is not meant that the order of the execution order in above-described embodiment, each process
Execution sequence should be determined by its function and internal logic, the implementation process without coping with the embodiment of the present invention constitutes any limit
It is fixed.
In one embodiment, a kind of air control data processing equipment is provided, the air control data processing equipment and above-described embodiment
Middle air control data processing method corresponds.As shown in fig. 6, the air control data processing equipment includes data acquisition module 601, number
According to screening module 602, information computational module 603, event computing module 604 and regular recommending module 605.Each functional module is detailed
It is described as follows:
Data acquisition module 601, for obtaining the air control data of each specialized company in air control database, wherein air control
Data include scene information, the corresponding scene event of each scene information, and each scene event is corresponding comprising air control rule
Regular collection and the corresponding air control hit rate of each air control rule；
Data screening module 602 is empty air control data for filtering out regular collection from air control data, as target
Data, and be not empty air control data as basic data using regular collection；
Information computational module 603 calculates scene information in the target data and each for being directed to each target data
Information similarity between scene information in basic data, if information similarity is greater than or equal to preset similarity threshold,
The basic data where the corresponding scene information of information similarity is then obtained, and using the basic data as data to be recommended；
Event computing module 604, for calculating in the scene event in each target data and each data to be recommended
Event similarity between scene event；
Regular recommending module 605, it is corresponding to be recommended for obtaining the maximum event similarity of numerical value in event similarity
Data, and by the air control rule in the data to be recommended, recommend the corresponding specialized company of target data.
Further, the air control data processing equipment further include:
Request receiving module 606, if the air control recommendation request for receiving specialized company, according to air control recommendation request
Update target data.
Further, the air control data processing equipment further include:
Logging modle 607 is hit, for monitoring each scene event of each specialized company, if detecting scene event quilt
The rule of the air control in the corresponding regular collection of the scene event is triggered and is hit, then records the hit information of the scene event,
Wherein, hit information includes the time of origin of the scene event and the air control rule of scene event hit；
Data statistics module 608, according to hit information, counts each scene event for being spaced at every predetermined time
In the data volume of preset time period, wherein data volume includes the number rule corresponding with the scene event that scene event occurs
The number that each air control rule is hit in set；
Computing module 609 is hit, for calculating the air control hit rate of each scene event according to data volume.
Further, regular recommending module 605 includes:
Data capture unit 6051, it is corresponding to be recommended for obtaining the maximum event similarity of numerical value in event similarity
Data, as normal data；
Regular recommendation unit 6052 filters out the maximum air control hit rate of numerical value for from normal data, and by the wind
The corresponding air control rule of hit rate is controlled, the corresponding specialized company of target data is recommended.
Further, the air control data processing equipment further include:
Information feedback module 610 obtains confirmation for the confirmation message according to the corresponding specialized company's feedback of target data
The target air control rule that the specialized company confirms in information；
Rule configuration module 611, for it is corresponding that target air control rule to be configured to target data in air control database
In regular collection.
Specific about air control data processing equipment limits the limit that may refer to above for air control data processing method
Fixed, details are not described herein.Modules in above-mentioned air control data processing equipment can fully or partially through software, hardware and its
Combination is to realize.Above-mentioned each module can be embedded in the form of hardware or independently of in the processor in computer equipment, can also be with
It is stored in the memory in computer equipment in a software form, in order to which processor calls the above modules of execution corresponding
Operation.
In one embodiment, a kind of computer equipment is provided, which can be server, internal junction
Composition can be as shown in Figure 7.The computer equipment include by system bus connect processor, memory, network interface and
Database.Wherein, the processor of the computer equipment is for providing calculating and control ability.The memory packet of the computer equipment
Include non-volatile memory medium, built-in storage.The non-volatile memory medium is stored with operating system, computer program and data
Library.The built-in storage provides environment for the operation of operating system and computer program in non-volatile memory medium.The calculating
The database of machine equipment is for saving air control data.The network interface of the computer equipment is used to pass through network with external terminal
Connection communication.To realize a kind of air control data processing method when the computer program is executed by processor.
In one embodiment, a kind of computer equipment is provided, including memory, processor and storage are on a memory
And the computer program that can be run on a processor, processor are realized at above-described embodiment air control data when executing computer program
The step of reason method, such as step S1 shown in Fig. 2 to step S5.Alternatively, being realized when processor execution computer program above-mentioned
The function of each module/unit of air control data processing equipment in embodiment, such as module 601 shown in Fig. 6 is to the function of module 605
Energy.To avoid repeating, which is not described herein again.
In one embodiment, a kind of computer readable storage medium is provided, computer program is stored thereon with, is calculated
Air control data processing method in above method embodiment is realized when machine program is executed by processor, alternatively, the computer program quilt
The function of each module/unit in air control data processing equipment in above-mentioned apparatus embodiment is realized when processor executes.To avoid weight
Multiple, which is not described herein again.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the computer program can be stored in a non-volatile computer
In read/write memory medium, the computer program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein,
To any reference of memory, storage, database or other media used in each embodiment provided herein,
Including non-volatile and/or volatile memory.Nonvolatile memory may include read-only memory (ROM), programming ROM
(PROM), electrically programmable ROM (EPROM), electrically erasable ROM (EEPROM) or flash memory.Volatile memory may include
Random access memory (RAM) or external cache.By way of illustration and not limitation, RAM is available in many forms,
Such as static state RAM (SRAM), dynamic ram (DRAM), synchronous dram (SDRAM), double data rate sdram (DDRSDRAM), enhancing
Type SDRAM (ESDRAM), synchronization link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM
(RDRAM), direct memory bus dynamic ram (DRDRAM) and memory bus dynamic ram (RDRAM) etc..
It is apparent to those skilled in the art that for convenience of description and succinctly, only with above-mentioned each function
Can unit, module division progress for example, in practical application, can according to need and by above-mentioned function distribution by different
Functional unit, module are completed, i.e., the internal structure of described device is divided into different functional unit or module, more than completing
The all or part of function of description.
Embodiment described above is merely illustrative of the technical solution of the present invention, rather than its limitations；Although referring to aforementioned reality
Applying example, invention is explained in detail, those skilled in the art should understand that, it still can be to aforementioned each
Technical solution documented by embodiment is modified or equivalent replacement of some of the technical features；And these are modified
Or replacement, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution should all
It is included within protection scope of the present invention.
Claims (10)
1. a kind of air control data processing method, which is characterized in that the air control data processing method includes:
Obtain the air control data of each specialized company in air control database, wherein the air control data include scene information, each
The corresponding scene event of the scene information, the corresponding regular collection comprising air control rule of each scene event, and
Each regular corresponding air control hit rate of the air control；
It is empty air control data that the regular collection is filtered out from the air control data, as target data, and by the rule
Then gather not is empty air control data as basic data；
For each target data, the scene information in the target data and the scene in each basic data are calculated
Information similarity between information obtains the information if the information similarity is greater than or equal to preset similarity threshold
Basic data where the corresponding scene information of similarity, and using the basic data as data to be recommended；
Calculate the thing between the scene event in the scene event and each data to be recommended in each target data
Part similarity；
Obtain the corresponding data to be recommended of the maximum event similarity of numerical value in the event similarity, and by the data to be recommended
In air control rule, recommend the corresponding specialized company of the target data.
2. air control data processing method as described in claim 1, which is characterized in that filtering out institute from the air control data
Stating regular collection is empty air control data, is not empty air control data as base as target data, and using the regular collection
After plinth data, and it is directed to each target data described, calculates the scene information in the target data and each institute
The information similarity between the scene information in basic data is stated, if the information similarity is greater than or equal to preset similarity
Threshold value then obtains the basic data where the corresponding scene information of information similarity, and using the basic data as to be recommended
Before data, the air control data processing method further include:
If receiving the air control recommendation request of specialized company, the target data is updated according to the air control recommendation request.
3. air control data processing method as claimed in claim 1 or 2, which is characterized in that in the acquisition air control database
Before the air control data of each specialized company, the air control data processing method further include:
Each of each specialized company scene event is monitored, the scene event is triggered and hits if detecting
Air control rule in the corresponding regular collection of the scene event, then record the hit information of the scene event, wherein the hit
Information includes the time of origin of the scene event and the air control rule of scene event hit；
It is spaced at every predetermined time, according to the hit information, counts each scene event in the number of preset time period
According to amount, wherein the data volume includes every in the number regular collection corresponding with the scene event of the scene event generation
The number that a air control rule is hit；
According to the data volume, the air control hit rate of each scene event is calculated.
4. air control data processing method as claimed in claim 1 or 2, which is characterized in that described to obtain the event similarity
The corresponding data to be recommended of the middle maximum event similarity of numerical value, and by the air control rule in the data to be recommended, recommend institute
Stating the corresponding specialized company of target data includes:
The corresponding data to be recommended of the maximum event similarity of numerical value in the event similarity are obtained, as normal data；
From the normal data, the maximum air control hit rate of numerical value is filtered out, and by the corresponding institute of the air control hit rate
Air control rule is stated, the corresponding specialized company of the target data is recommended.
5. air control data processing method as claimed in claim 1 or 2, which is characterized in that similar in the acquisition event
The corresponding data to be recommended of the maximum event similarity of numerical value in degree, and by the air control rule in the data to be recommended, it recommends
After the corresponding specialized company of the target data, the air control data processing method further include:
According to the confirmation message of the corresponding specialized company's feedback of the target data, the specialized company in the confirmation message is obtained
The target air control rule of confirmation；
In the air control database, the target air control rule is configured in the corresponding regular collection of the target data.
6. a kind of air control data processing equipment, which is characterized in that the air control data processing equipment includes:
Data acquisition module, for obtaining the air control data of each specialized company in air control database, wherein the air control data
Including scene information, the corresponding scene event of each scene information, each scene event is corresponding to advise comprising air control
Regular collection and the corresponding air control hit rate of each air control rule then；
Data screening module is empty air control data for filtering out the regular collection from the air control data, as mesh
Data are marked, and are not empty air control data as basic data using the regular collection；
Information computational module calculates the scene information in the target data and each institute for being directed to each target data
The information similarity between the scene information in basic data is stated, if the information similarity is greater than or equal to preset similarity
Threshold value then obtains the basic data where the corresponding scene information of information similarity, and using the basic data as to be recommended
Data；
Event computing module, for calculating in the scene event in each target data and each data to be recommended
Event similarity between scene event；
Regular recommending module, for obtaining the corresponding number to be recommended of the maximum event similarity of numerical value in the event similarity
According to, and by the air control rule in the data to be recommended, recommend the corresponding specialized company of the target data.
7. air control data processing equipment as claimed in claim 6, which is characterized in that before the data acquisition module, institute
State air control data processing equipment further include:
Logging modle is hit, for monitoring each of each specialized company scene event, if detecting the scene
Event is triggered and hits the rule of the air control in the corresponding regular collection of the scene event, then records the hit of the scene event
Information, wherein the hit information includes the time of origin of the scene event and the air control rule of scene event hit；
Data statistics module, according to the hit information, counts each scene event for being spaced at every predetermined time
In the data volume of preset time period, wherein the data volume includes the number and the scene event pair that the scene event occurs
The number that each air control rule is hit in the regular collection answered；
Computing module is hit, for calculating the air control hit rate of each scene event according to the data volume.
8. air control data processing equipment as claimed in claim 6, which is characterized in that it is described rule recommending module include:
Data capture unit, for obtaining the corresponding number to be recommended of the maximum event similarity of numerical value in the event similarity
According to as normal data；
Regular recommendation unit filters out the maximum air control hit rate of numerical value for from the normal data, and by the wind
The corresponding air control rule of hit rate is controlled, the corresponding specialized company of the target data is recommended.
9. a kind of computer equipment, including memory, processor and storage are in the memory and can be in the processor
The computer program of upper operation, which is characterized in that the processor realized when executing the computer program as claim 1 to
The step of any one of 5 air control data processing method.
10. a kind of computer readable storage medium, the computer-readable recording medium storage has computer program, and feature exists
In realizing the air control data processing method as described in any one of claim 1 to 5 when the computer program is executed by processor
Step.
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| CN201810585015.7A CN108985559A (en) | 2018-06-08 | 2018-06-08 | Air control data processing method, device, computer equipment and storage medium |
| PCT/CN2018/092327 WO2019232821A1 (en) | 2018-06-08 | 2018-06-22 | Method for processing risk control data, device, computer apparatus, and storage medium |
Applications Claiming Priority (1)
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|---|---|---|---|
| CN201810585015.7A CN108985559A (en) | 2018-06-08 | 2018-06-08 | Air control data processing method, device, computer equipment and storage medium |
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