CN109254990A - A kind of method and system of information source acquisition and dynamic analysis - Google Patents
A kind of method and system of information source acquisition and dynamic analysis Download PDFInfo
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Abstract
The invention discloses a kind of method and systems of information source acquisition and dynamic analysis, which comprises from the acquisition of at least one information source at least one monitoring data of target object；Data category belonging to current at least one monitoring data is analyzed, and the monitoring data for belonging to same data category are sorted out；Based on preset Data Analysis Model, each monitoring data for belonging to each data category are analyzed, to obtain the first analysis result set；Judge whether the collected each monitoring data for belonging to each data category of prefixed time interval change, if each monitoring data change, dynamic analysis is carried out to each monitoring data of variation, and the first analysis result set is replaced with into the second analysis result set.The solution of the present invention can accomplish: will be sorted out and analyzed from the monitoring data of the collected target object of different aforementioned sources, simplify analytic process, and update the latest analysis result set for being directed to the monitoring data of variation in interval prefixed time interval.
Description
Technical field
The present invention relates to data analysis technique fields, and in particular to the method for a kind of acquisition of information source and dynamic analysis and is
System.
Background technique
Existing information source acquisition often carries out data acquisition only for single piece of information source, although in this way, being directed to target
The collected monitoring data of object are more, still, single information source come solely from based on numerous monitoring data, to these monitorings
Data are analyzed, and obtained analysis result is often inaccurate, and the analysis result does not fit in actual conditions, does not have
It is convincing.
After collecting multiple monitoring data to target object, monitoring data are analyzed, it is each based on what is monitored
A monitoring data it is many kinds of, the analytic process to these monitoring data is the process of cumbersome, time-consuming consumption manpower, and base
In each analysis result that these monitoring data obtain be often unordered, and do not have relevance.
Based on present technology, can accomplish to acquire monitoring data in real time, but to these collected monitorings
The analytic process of data be it is time-consuming, often for a long time all will not be to initial analysis knot after obtaining initial analysis result
Fruit updates, in this way, there are the monitoring data got and for unmatched between the analysis result of the monitoring data
Problem.
How analytic process cumbersome to target object monitoring data and time-consuming simplifies, and when how to accomplish default
Between interval update for each variation monitoring data it is each analyze as a result, being problem to be solved.
Summary of the invention
It is existing to solve the purpose of the present invention is to provide a kind of method and system of information source acquisition and dynamic analysis
The process that the monitoring data of collected target object are disorderly and unsystematic, are analyzed each monitoring data is cumbersome, time-consuming, and needle
Single to each analysis result of each monitoring data, each result of analyzing often postpones in continually changing each monitoring data the problem of.
To achieve the above object, the embodiment of the present invention provides the method for a kind of information source acquisition and dynamic analysis, the side
Method includes: at least one monitoring data from the acquisition of at least one information source to target object；The current at least one monitoring of analysis
Data category belonging to data, and the monitoring data for belonging to same data category are sorted out, to obtain belonging to each data class
Other each monitoring data；Based on preset Data Analysis Model, each monitoring data for belonging to each data category are analyzed, with
Obtain corresponding first analysis result set；Judging the collected each monitoring data for belonging to each data category of prefixed time interval is
It is no to change, if each monitoring data change, dynamic analysis are carried out to each monitoring data of variation, it is corresponding to obtain
Second analysis result set, and the first analysis result set is replaced with into the second analysis result set.
Optionally, the monitoring data of the target object are included at least with the next item down: the name of the target object
Data, the address data of the target object, kinsfolk's data of the target object, the target object annual income number
According to, the personal property data of the target object, the health indicator data of the target object, the target object it is daily go out
Row traffic data, the data of physiological index of the target object, the consumer behavior data of the target object, the target object
Consumption habit data, the consumer need data of the target object.
Optionally, the method also includes: preset Data Analysis Model is optimized, data after being optimized point
Model is analysed, and, described to optimize to preset Data Analysis Model, the Data Analysis Model after being optimized specifically is wrapped
It includes: according at least one monitoring data of the target object, the first analysis result set and the second analysis result
Collection, training obtain the first Data Analysis Model；According to first Data Analysis Model, to the preset Data Analysis Model
It optimizes.
Optionally, the information source is included at least with the next item down: the information that is identified based on resident's identification card, based on described
Personal information that target object is filled on the net, the personal information filled in bank based on the target object, based on the mesh
Personal information that mark object is filled in phone business hall, the personal information filled in Model of Buying House based on the target object,
The personal information filled in during purchasing vehicle based on the target object is filled in shopping process based on the target object
Personal information, the personal information filled in based on the target object when businessman pays a return visit.
Optionally, the method also includes the first analysis result sets or second point described based on each monitoring data
Result set is analysed, the matched optimization information comprising at least one prioritization scheme is pushed to the target object.
Optionally, the method also includes: obtain the target object after the optimization for practicing at least one prioritization scheme
Each monitoring data, and monitoring data each after optimization are compared with each monitoring data, to judge the target object practice
Whether at least one prioritization scheme is effective；If judging, current at least one prioritization scheme is effective prioritization scheme, to current
At least one prioritization scheme is recorded and saved.
Match with the above method, another aspect of the present invention provides the system of a kind of information source acquisition and dynamic analysis, institute
The system of stating includes: acquisition unit, from the acquisition of at least one information source at least one monitoring data of target object；Data are sorted out
Unit, analyzes data category belonging to current at least one monitoring data, and will belong to the monitoring data of same data category into
Row is sorted out, to obtain each monitoring data for belonging to each data category；Analytical unit is based on preset Data Analysis Model, to category
It is analyzed in each monitoring data of each data category, to obtain corresponding first analysis result set；Processing unit, judgement are default
Whether the collected each monitoring data for belonging to each data category of time interval change, if judging, each monitoring data occur
Variation then carries out dynamic analysis to each monitoring data of variation, to obtain corresponding second analysis result set, and by described first
Analysis result set replaces with the second analysis result set.
Optionally, the monitoring data of the collected target object of the acquisition unit are included at least with next
: the name data of the target object, the address data of the target object, kinsfolk's data of the target object,
The annual income data of the target object, the personal property data of the target object, the target object health indicator number
According to, the data of physiological index of the daily trip traffic data of the target object, the target object, the target object disappear
Take behavioral data, the consumption habit data of the target object, the consumer need data of the target object.
Optionally, the system also includes model optimization unit, the model optimization units, for preset data point
Analysis model optimizes, and the Data Analysis Model after being optimized, the model optimization unit is specifically used for: according to the acquisition
The first analysis knot that at least one monitoring data of the collected target object of unit, the analytical unit analyze
The second analysis result set that fruit collection and the processing unit analyze, training obtain the first Data Analysis Model；According to
First Data Analysis Model optimizes the preset Data Analysis Model.
Optionally, the corresponding information source of the acquisition unit is included at least with the next item down:
The information that is identified based on resident's identification card, is based on the personal information filled on the net based on the target object
Personal information that the target object is filled in bank, the personal information filled in phone business hall based on the target object,
The personal information filled in Model of Buying House based on the target object is filled in during purchasing vehicle based on the target object
Personal information, the personal information filled in shopping process based on the target object are returned based on the target object in businessman
The personal information filled in when visit.
The embodiment of the present invention has the advantages that a kind of information source acquisition provided in an embodiment of the present invention and dynamic analysis
Method and system can be accomplished: it will be sorted out and analyzed from the monitoring data of the collected target object of different aforementioned sources, letter
Change analytic process, and updates the latest analysis result set for being directed to the monitoring data of variation in interval prefixed time interval.
Detailed description of the invention
Fig. 1 is the flow diagram of the method for a kind of acquisition of information source and dynamic analysis that the embodiment of the present invention 1 provides；
Fig. 2 is the structural schematic diagram of the system of a kind of acquisition of information source and dynamic analysis that the embodiment of the present invention 2 provides.
In conjunction with attached drawing, appended drawing reference is as follows in the embodiment of the present invention:
201- acquisition unit；202- data sort out unit；203- analytical unit；204- processing unit.
Specific embodiment
The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention..
Embodiment 1
According to an embodiment of the invention, the method for a kind of information source acquisition and dynamic analysis is provided, as shown in Figure 1, being
The flow diagram of the method for a kind of acquisition of information source and dynamic analysis that the embodiment of the present invention 1 provides.This method includes at least
Following steps:
S101, from the acquisition of at least one information source at least one monitoring data of target object；In this way, based on different
Information source can collect a greater variety of monitoring data for being directed to target object, in this way, being directed to above-mentioned various monitoring data
Analysis result just more fit in actual conditions.
S102 analyzes data category belonging to current at least one monitoring data, and the prison that will belong to same data category
Measured data is sorted out, to obtain each monitoring data for belonging to each data category；In this way, by the mixed and disorderly target object that is directed to
Monitoring data are sorted out, and the analytic process of existing data analysis is simplified.
In practical applications, the analysis model that often certain a kind of monitoring data uses, and analysis result all can be with
Reference mutually, in this way, simplifying the analytic process of existing data analysis.
S103 is based on preset Data Analysis Model, analyzes each monitoring data for belonging to each data category, with
To corresponding first analysis result set；
It should be noted that preset Data Analysis Model is the conventional analysis model analyzed data, herein
It repeats no more.
In addition, being based on preset Data Analysis Model, each monitoring data for belonging to each data category are analyzed, with
During corresponding first analysis result set, finally obtained first analysis result set is to summarize based on preset data
Analysis model, to the set for each analysis result that each monitoring data of each data category are analyzed.
S104, judges whether the collected each monitoring data for belonging to each data category of prefixed time interval change,
If each monitoring data change, dynamic analysis are carried out to each monitoring data of variation, to obtain corresponding second analysis knot
Fruit collection, and the first analysis result set is replaced with into the second analysis result set；In this way, interval prefixed time interval checks each monitoring number
According to whether changing, and each monitoring data of variation are analyzed, to obtain newest analysis as a result, and by point before
Analysis result replaces with newest analysis as a result, in this way, data-handling efficiency not only can be improved, additionally it is possible to guarantee for variation
The result is that newest, only newest analysis result is only more effectively target object, and has for the analysis of each monitoring data
Pointedly.
It should be noted that similar with the first analysis result set, the second analysis result set is to be analyzed based on preset data
Model, to the set for each analysis result that the monitoring data of each data category respectively changed are analyzed.Relative to
For one analysis result set, it is to be directed to newest collected prison that the analysis result of the second analysis result set is more targeted
The analysis of measured data is as a result, also more fit in actual conditions.
As described above, the method for information source acquisition provided in an embodiment of the present invention and dynamic analysis can accomplish: will never
Monitoring data with the collected target object of information source are sorted out and are analyzed, and simplify analytic process, and default at interval
Time interval updates the latest analysis result set for being directed to the monitoring data of variation.
In an optional example, the monitoring data of target object are included at least with the next item down: the name of target object
Data, the address data of target object, kinsfolk's data of target object, the annual income data of target object, target object
Personal property data, the health indicator data of target object, target object daily trip traffic data, target object life
Manage the consumer need number of achievement data, the consumer behavior data of target object, the consumption habit data of target object, target object
According to；In this way, the type of the collected monitoring data for target object is more, in this way, be directed to the analysis of the monitoring data
It is just more convincing to analyze result.
In an optional example, the method also includes: preset Data Analysis Model is optimized, is obtained excellent
Data Analysis Model after change, and, preset Data Analysis Model is optimized, the Data Analysis Model after being optimized
It specifically includes: according at least one monitoring data of target object, the first analysis result set and the second analysis result set, instruction
It gets to the first Data Analysis Model；According to the first Data Analysis Model, preset Data Analysis Model is optimized.
It should be noted that according at least one monitoring data of target object, the first analysis result set and second point
Result set is analysed, it is conventional technical means that training, which obtains the training method and training process of the first Data Analysis Model,
This is repeated no more.
By constantly optimizing to preset Data Analysis Model, it is continuously updated iteration, in this way, finally obtaining excellent
Data Analysis Model after change.
In practical application, divided based on monitoring data of the Data Analysis Model after optimization to collected target object
Analysis, the analysis result frequently resulted in is more accurate, and the analysis result more fits in the actual conditions of target object.
In an optional example, information source is included at least with the next item down: the information that is identified based on resident's identification card,
The personal information filled in based on target object on the net, the personal information filled in bank based on target object, based on target pair
As the personal information filled in phone business hall, the personal information filled in Model of Buying House based on target object, based on target
Personal information that object is filled in during purchasing vehicle, the personal information filled in shopping process based on target object, based on mesh
The personal information that mark object is filled in when businessman pays a return visit；In this way, based on the information source varied, this avoid from single letter
The monitoring data of the collected target object in breath source are simultaneously untrue, are also inaccurate.
In an optional example, the method also includes: the first analysis result set or the based on each monitoring data
Two analysis result sets, the matched optimization information comprising at least one prioritization scheme is pushed to target object.
In practical applications, it is also based on the first analysis result set or the second analysis result set of each monitoring data, is answered
For in practical application scene.
For example, eating for frequent plenty of meat and fish is led when certain, and I also likes eating fat meat, if based on strong for the leader
Health refers to that the analysis of each monitoring data of target goes out as the result is shown: the leader is too obese, hyperlipidemia, hypertension, overnutrition, this
When, it is contemplated that the health condition of the leader, it can be according to the analysis as a result, recommending optimization information, the optimization information to it
Prioritization scheme including daily breakfast, lunch and dinner diet recipe, the diet recipe specific to: the leader daily each tableware body this what is eaten,
By eating light food, keep its diet more healthy.Above-mentioned is only an example, remaining example repeats no more.
In an optional example, the method also includes: it obtains target object and is practicing at least one prioritization scheme
Optimization after each monitoring data, and monitoring data each after optimization are compared with each monitoring data, to judge target object
Whether effective practice at least one prioritization scheme；If judging, current at least one prioritization scheme is effective prioritization scheme, right
Current at least one prioritization scheme is recorded and saved.
In practical applications, as it is aforementioned for example, the leader receives and practiced a period of time includes daily
After the prioritization scheme of breakfast, lunch and dinner diet recipe, persistently the health monitoring data associated with health indicator of the leader are adopted
Collection, to analyze collected newest health monitoring data associated with health indicator, to obtain newest analysis
As a result.By checking whether every monitoring data in the newest analysis result are restored to normal level, for example, blood lipid drops to
Normal level, or slightly above normal level；Blood pressure drops to normal level, or slightly above normal level.
By above-mentioned analytic process, know that the prioritization scheme for leader's diet is effectively, then to the effective drink
Food prioritization scheme is recorded and is saved, and in order to check in the future, and is improved to the diet program of the optimization.
In an optional example, the method for information source acquisition provided in an embodiment of the present invention and dynamic analysis is applied to
Metadata, the application scenarios of Urban Spatial Data sensory experience.Other than above-mentioned application scenarios, it can also be answered applied to other
With scene, details are not described herein.
Embodiment 2
According to an embodiment of the invention, additionally providing one kind of the method corresponding to a kind of acquisition of information source and dynamic analysis
The system of information source acquisition and dynamic analysis, as shown in Fig. 2, acquiring and moving for a kind of information source that the embodiment of the present invention 2 provides
The structural schematic diagram of the system of state analysis.
The system of a kind of acquisition of information source and dynamic analysis that the embodiment of the present invention 2 provides includes acquisition unit 201, data
Sort out unit 202, analytical unit 203 and processing unit 204.
Specifically, acquisition unit 201, from the acquisition of at least one information source at least one monitoring number of target object
According to；
Data sort out unit 202, analyze data category belonging to current at least one monitoring data, and will belong to same number
Sorted out according to the monitoring data of classification, to obtain each monitoring data for belonging to each data category；
Analytical unit 203 is based on preset Data Analysis Model, divides each monitoring data for belonging to each data category
Analysis, to obtain corresponding first analysis result set；
Processing unit 204, judges whether the collected each monitoring data for belonging to each data category of prefixed time interval are sent out
Changing, if judging, each monitoring data change, and carry out dynamic analysis to each monitoring data of variation, corresponding to obtain
Second analysis result set, and by first analysis result set replace with the second analysis result set；In this way, the embodiment of the present invention provides
A kind of acquisition of information source and the systems of dynamic analysis can accomplish: will be from the monitoring of the collected target object of different aforementioned sources
Data are sorted out and are analyzed, and simplify analytic process, and the monitoring number for being directed to variation is updated in interval prefixed time interval
According to latest analysis result set.
In an optional example, the monitoring data of the collected target object of acquisition unit 201 include at least following
One: the name data of target object, the address data of target object, kinsfolk's data of target object, target object
The daily trip of annual income data, the personal property data of target object, the health indicator data of target object, target object is handed over
Logical data, the data of physiological index of target object, the consumer behavior data of target object, the consumption habit data of target object,
The consumer need data of target object；In this way, it is more for the type of the monitoring data of target object, it is based on diversified prison
The obtained analysis result set of the analysis of measured data is also more accurate, more fits in actual conditions.
In an optional example, the system also includes model optimization unit, model optimization units, for default
Data Analysis Model optimize, the Data Analysis Model after being optimized, model optimization unit is specifically used for: according to acquisition
At least one monitoring data of the collected target object of unit 201, analytical unit 203 analyze first analysis result set,
And the second analysis result set that processing unit 204 analyzes, training obtain the first Data Analysis Model；According to the first data point
Model is analysed, preset Data Analysis Model is optimized；In this way, being carried out by constantly to preset Data Analysis Model excellent
Change, iteration, the Data Analysis Model after finally obtaining optimization, in this way, based on the Data Analysis Model after the optimization, to collecting
Monitoring data analyzed, obtained analysis result set is more accurate, more fits in actual conditions.
In an optional example, the corresponding information source of acquisition unit 201 is included at least with the next item down: being known based on resident
Do not block the information identified, the personal information filled on the net based on target object, filled in based on target object in bank
People's information, is filled in Model of Buying House based on target object at the personal information filled in phone business hall based on target object
Personal information, the personal information filled in during purchasing vehicle based on target object are filled in shopping process based on target object
Personal information, based on target object when businessman pays a return visit the personal information filled in；Due to information source be it is diversified, this
Sample analyzes the monitoring data of the information source from separate sources, and obtained analysis result set is more accurate, more sticks on
Together in actual conditions.In an optional example, the system of information source acquisition and dynamic analysis provided in an embodiment of the present invention
Applied to metadata, the application scenarios of Urban Spatial Data sensory experience.Other than above-mentioned application scenarios, it can also be applied to
Other application scenarios, details are not described herein.
Although above having used general explanation and specific embodiment, the present invention is described in detail, at this
On the basis of invention, it can be made some modifications or improvements, this will be apparent to those skilled in the art.Therefore,
These modifications or improvements without departing from theon the basis of the spirit of the present invention are fallen within the scope of the claimed invention.
Claims (10)
1. a kind of method of information source acquisition and dynamic analysis characterized by comprising
From the acquisition of at least one information source at least one monitoring data of target object；
Data category belonging to current at least one monitoring data is analyzed, and the monitoring data for belonging to same data category are carried out
Sort out, to obtain each monitoring data for belonging to each data category；
Based on preset Data Analysis Model, each monitoring data for belonging to each data category are analyzed, it is corresponding to obtain
First analysis result set；
Judge whether the collected each monitoring data for belonging to each data category of prefixed time interval change, if respectively monitoring number
According to changing, then dynamic analysis are carried out to each monitoring data of variation, to obtain corresponding second analysis result set, and by institute
It states the first analysis result set and replaces with the second analysis result set.
2. the method according to claim 1, wherein
The monitoring data of the target object are included at least with the next item down:
The name data of the target object, the address data of the target object, kinsfolk's data of the target object,
The annual income data of the target object, the personal property data of the target object, the target object health indicator number
According to, the data of physiological index of the daily trip traffic data of the target object, the target object, the target object disappear
Take behavioral data, the consumption habit data of the target object, the consumer need data of the target object.
3. the method according to claim 1, wherein the method also includes: to preset Data Analysis Model
It optimizes, the Data Analysis Model after being optimized, and,
Described to optimize to preset Data Analysis Model, the Data Analysis Model after being optimized specifically includes:
According at least one monitoring data of the target object, the first analysis result set and the second analysis knot
Fruit collection, training obtain the first Data Analysis Model；
According to first Data Analysis Model, the preset Data Analysis Model is optimized.
4. the method according to claim 1, wherein the information source is included at least with the next item down:
The information that is identified based on resident's identification card, the personal information filled on the net based on the target object, based on described
Personal information that target object is filled in bank, is based on the personal information filled in phone business hall based on the target object
Personal information that the target object is filled in Model of Buying House, the individual filled in during purchasing vehicle based on the target object
Information, the personal information filled in shopping process based on the target object, based on the target object when businessman pays a return visit
The personal information filled in.
5. the method according to claim 1, wherein the method also includes:
The first analysis result set or the second analysis result set based on each monitoring data, push away to the target object
Send the matched optimization information comprising at least one prioritization scheme.
6. according to the method described in claim 5, it is characterized in that, the method also includes:
The target object each monitoring data after the optimization for practicing at least one prioritization scheme are obtained, and will respectively be monitored after optimization
Data are compared with each monitoring data, to judge that it is whether effective that the target object practices at least one prioritization scheme；If
Judge that current at least one prioritization scheme is effective prioritization scheme, then current at least one prioritization scheme is recorded and protected
It deposits.
7. a kind of system of information source acquisition and dynamic analysis characterized by comprising
Acquisition unit, from the acquisition of at least one information source at least one monitoring data of target object；
Data sort out unit, analyze data category belonging to current at least one monitoring data, and will belong to same data category
Monitoring data sorted out, to obtain each monitoring data for belonging to each data category；
Analytical unit is based on preset Data Analysis Model, analyzes each monitoring data for belonging to each data category, with
To corresponding first analysis result set；
Processing unit, judges whether the collected each monitoring data for belonging to each data category of prefixed time interval change,
If judging, each monitoring data change, and dynamic analysis are carried out to each monitoring data of variation, to obtain corresponding second
Result set is analyzed, and the first analysis result set is replaced with into the second analysis result set.
8. system according to claim 7, which is characterized in that
The monitoring data of the collected target object of acquisition unit are included at least with the next item down:
The name data of the target object, the address data of the target object, kinsfolk's data of the target object,
The annual income data of the target object, the personal property data of the target object, the target object health indicator number
According to, the data of physiological index of the daily trip traffic data of the target object, the target object, the target object disappear
Take behavioral data, the consumption habit data of the target object, the consumer need data of the target object.
9. system according to claim 7, which is characterized in that the system also includes model optimization unit,
The model optimization unit, for optimizing to preset Data Analysis Model, the data after being optimized analyze mould
Type,
The model optimization unit is specifically used for:
It is analyzed according at least one monitoring data of the collected target object of the acquisition unit, the analytical unit
It is described first analysis result set and the processing unit analyze it is described second analysis result set, training obtain first
Data Analysis Model；
According to first Data Analysis Model, the preset Data Analysis Model is optimized.
10. system according to claim 7, which is characterized in that the corresponding information source of the acquisition unit is at least wrapped
It includes with the next item down:
The information that is identified based on resident's identification card, the personal information filled on the net based on the target object, based on described
Personal information that target object is filled in bank, is based on the personal information filled in phone business hall based on the target object
Personal information that the target object is filled in Model of Buying House, the individual filled in during purchasing vehicle based on the target object
Information, the personal information filled in shopping process based on the target object, based on the target object when businessman pays a return visit
The personal information filled in.
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| CN110209512A (en) * | 2019-05-30 | 2019-09-06 | 口碑(上海)信息技术有限公司 | Verification of data method and device based on multi-data source |
| CN111340455A (en) * | 2020-03-04 | 2020-06-26 | 北京三快在线科技有限公司 | Method, device and equipment for automatically generating data analysis result and storage medium |
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