CN107332849A - A kind of sensing data analysis method and device - Google Patents
A kind of sensing data analysis method and device Download PDFInfo
- Publication number
- CN107332849A CN107332849A CN201710547807.0A CN201710547807A CN107332849A CN 107332849 A CN107332849 A CN 107332849A CN 201710547807 A CN201710547807 A CN 201710547807A CN 107332849 A CN107332849 A CN 107332849A
- Authority
- CN
- China
- Prior art keywords
- data
- sensor
- parsing
- template
- type
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L69/00—Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
- H04L69/18—Multiprotocol handlers, e.g. single devices capable of handling multiple protocols
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L69/00—Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
- H04L69/22—Parsing or analysis of headers
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Computer Security & Cryptography (AREA)
- Health & Medical Sciences (AREA)
- Computing Systems (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Stored Programmes (AREA)
Abstract
The present invention relates to technical field of data processing, it is proposed that a kind of sensing data analysis method and device, methods described includes：The sensing data that sensor is gathered in real time is obtained, the sensing data includes the sensor identification information and sensor status data of the sensor；The sensor type of the sensor is determined according to the sensor identification information, and corresponding data parsing template is searched according to the sensor type；And the sensor status data is parsed using data parsing template.By the present invention in that the mode for parsing template with data can support different type, the access of different manufacturers sensor type, and can fast and efficiently it realize to different type, the parsing of the data of different manufacturers sensor.
Description
Technical field
The present invention relates to technical field of data processing, more particularly to a kind of sensing data analysis method and device.
Background technology
Sensor is a kind of signal, physical condition (such as light, heat, humidity) that can be detected, gather the external world, and transmits collection
The physical unit of the information arrived, is widely used in the systems such as Internet of Things, smart city, smart home, wisdom agricultural, medical treatment ＆ health
In.
In the prior art, sensor is packaged usually using privately owned sensor agreement to the metadata collected,
And the primary data for obtaining encapsulation is sent to system terminal；The primary data received is transparent to by system terminal accordingly should
Use system.Application system carries out protocol adaptation to the primary data received, and corresponding protocol analysis is carried out according to protocol type,
To extract metadata from primary data.
In process of the present invention is realized, inventor has found that existing sensing data analytic method at least has problems with：
Because the different types of sensor that different sensor manufacturers is produced has each privately owned sensor agreement, because
This, sensor protocol type is various, generally include thousands of kinds of proprietary protocols, and application system can not identification sensor in advance
Protocol type, thus need in development and application system, the various sensor agreements that application system is supported are pre-defined, and answering
With being implanted into corresponding protocol resolving program in system, if there is new sensor access, need according to the sensor agreement, again
Corresponding protocol resolving program is implanted into application system, complex operation causes system not realize quickly to different sensors
The data parsing of type.
The content of the invention
In view of the above problems, the present invention proposes a kind of sensing data analysis method and device, can be fast and efficiently real
Now the data to different sensors type are parsed, and support the access of different sensors type.
One aspect of the present invention there is provided a kind of sensing data analytic method, including：
The sensing data that sensor is gathered in real time is obtained, the sensing data includes the sensor identification of the sensor
Information and sensor status data；
The sensor type of the sensor is determined according to the sensor identification information, and according to the sensor type
Search corresponding data parsing template；And
The sensor status data is parsed using data parsing template.
Alternatively, after use data parsing template is parsed to the sensor status data, institute
Stating method also includes：
The data after parsing are filtered according to default data filtering rule, the data filtering rule is met
Sensor of interest status data；
Corresponding data monitoring template is searched according to the sensor type；And
Monitoring and early warning, the number in real time are carried out to the sensor of interest status data using the data monitoring template
Early warning is carried out to the abnormality of the sensing data by the pattern style and/or color pre-set according to monitoring standard module.
Alternatively, the sensor type that the sensor is determined according to the sensor identification information, according to described
Sensor type searches corresponding data parsing template, including：
According to the default mapping relations of sensor identification information searching, to obtain the sensor identification information correspondence
Include the correspondence pass between sensor identification information and sensor type in the sensor type of sensor, the mapping relations
System；
The corresponding parsing type of the sensor status data is judged according to the sensor type, the parsing type is extremely
Include expression parsing, parsing class parsing less；
According to the corresponding data parsing template of the parsing type search.
Alternatively, when the parsing type is expression parsing, the data parsing template is expression parsing function；
It is described that the sensor status data is parsed using data parsing template, including：According to the table
The sensor status data is parsed up to formula analytical function.
Alternatively, the sensor status data according to the expression parsing function pair is parsed, including：
Regular expression in the expression parsing function extracts corresponding from the sensor status data
Variable data；
The expression parsing function is parsed, to obtain the description configured information added in the expression parsing function,
The description configured information is used for the data processing method for describing the variable data；
Data processing is carried out to the variable data according to the description configured information.
Alternatively, when the parsing type is parsing class parsing, the data parsing template is parsing class；
It is described that the sensor status data is parsed using data parsing template, including：According to the solution
Analysis class is parsed to the sensor status data.
Another aspect of the present invention there is provided a kind of sensing data resolver, including：
Data acquisition module, for obtaining the sensing data that sensor is gathered in real time, the sensing data includes described
The sensor identification information and sensor status data of sensor；
First template searching modul, the sensor class for determining the sensor according to the sensor identification information
Type, and corresponding data parsing template is searched according to the sensor type；
Data resolution module, for being parsed using data parsing template to the sensor status data.
Alternatively, described device also includes：
Data filtering module, for parsing template to the sensor shape using the data in the data resolution module
After state data are parsed, the data after parsing are filtered according to default data filtering rule, are met described
The sensor of interest status data of data filtering rule；
Second template searching modul, for searching corresponding data monitoring template according to the sensor type；
Data disaply moudle, it is real-time for being carried out using the data monitoring template to the sensor of interest status data
Monitoring and early warning, the data monitoring template is by the pattern style and/or color that pre-set to the different of the sensing data
Normal state carries out early warning.
Alternatively, the first template searching modul, is specifically included：
Acquisition submodule, for according to the default mapping relations of sensor identification information searching, to obtain the biography
The sensor type of sensor identification information respective sensor, wherein, include in the mapping relations sensor identification information and
Corresponding relation between sensor type；
Decision sub-module, for judging the corresponding parsing class of the sensor status data according to the sensor type
Type, the parsing type at least includes expression parsing, parsing class parsing；
Submodule is searched, for parsing template according to the corresponding data of the parsing type search.
Alternatively, when the parsing type is expression parsing, the data parsing template is expression parsing function,
The data resolution module, is parsed specifically for the sensor status data according to the expression parsing function pair；
When the parsing type is parsing class parsing, the data parsing template is parsing class, and the data parse mould
Block, specifically for being parsed according to the parsing class to the sensor status data.
Sensing data analysis method and device provided in an embodiment of the present invention, the mode for parsing template by using data can
With support different type, different manufacturers sensor type access, and sensing data analysis protocol have upgrading or change when,
It can be modified just for the data parsing template for defined parameters variable, without changing the journey for being used for realizing logical process
Sequence source code, without recompilating, you can realize that data are parsed, realize definition and the separation of logical process, and then can be fast
Speed, efficiently realize to the parsing of the data of different sensors type.
Described above is only the general introduction of technical solution of the present invention, in order to better understand the technological means of the present invention,
And can be practiced according to the content of specification, and in order to allow above and other objects of the present invention, feature and advantage can
Become apparent, below especially exemplified by the embodiment of the present invention.
Brief description of the drawings
By reading the detailed description of hereafter preferred embodiment, various other advantages and benefit is common for this area
Technical staff will be clear understanding.Accompanying drawing is only used for showing the purpose of preferred embodiment, and is not considered as to the present invention
Limitation.And in whole accompanying drawing, identical part is denoted by the same reference numerals.In the accompanying drawings：
Fig. 1 is a kind of flow chart for sensing data analytic method that the embodiment of the present invention is proposed；
Fig. 2 is the flow chart for another sensing data analytic method that the embodiment of the present invention is proposed；
Fig. 3 is the specific workflow figure for realizing sensing data parsing in the embodiment of the present invention；
The subdivision flow chart that Fig. 4 is step S14 in a kind of sensing data analytic method that the embodiment of the present invention is proposed；
Fig. 5 is a kind of structured flowchart for sensing data resolver that the embodiment of the present invention is proposed；
Fig. 6 is a kind of structured flowchart for sensing data resolver that the embodiment of the present invention is proposed.
Embodiment
The exemplary embodiment of the disclosure is more fully described below with reference to accompanying drawings.Although showing the disclosure in accompanying drawing
Exemplary embodiment, it being understood, however, that may be realized in various forms the disclosure without should be by embodiments set forth here
Limited.On the contrary, these embodiments are provided to facilitate a more thoroughly understanding of the present invention, and can be by the scope of the present disclosure
Complete conveys to those skilled in the art.
Those skilled in the art of the present technique are appreciated that unless expressly stated, singulative " one " used herein, " one
It is individual ", " described " and "the" may also comprise plural form.It is to be further understood that what is used in the specification of the present invention arranges
Diction " comprising " refer to there is the feature, integer, step, operation, element and/or component, but it is not excluded that in the presence of or addition
Other one or more features, integer, step, operation, element, component and/or their group.
Those skilled in the art of the present technique are appreciated that unless otherwise defined, all terms used herein (including technology art
Language and scientific terminology), with the general understanding identical meaning with the those of ordinary skill in art of the present invention.Should also
Understand, those terms defined in such as general dictionary, it should be understood that with the context with prior art
The consistent meaning of meaning, and unless by specific definitions, otherwise will not be explained with idealization or excessively formal implication.
Fig. 1 diagrammatically illustrates the flow chart of the sensing data analytic method of one embodiment of the invention.This method is set again
The sensing data resolver put in system terminal realizes that reference picture 1, the sensing data analytic method of the embodiment of the present invention has
Body comprises the following steps：
The sensing data that S11, acquisition sensor are gathered in real time, the sensing data includes the sensor of the sensor
Identification information and sensor status data.
Wherein, the sensor identification information can be sensor number.
In a specific example, sensing data resolver receives the sensing data that sensor is gathered and uploaded in real time,
The data packet format of the sensing data is as shown in Table 1：
The data packet format of the sensing data of table one
| Sensor number | Sensor status data |
| 24 bytes | N byte |
Wherein, N size is configured with specific reference to the form and data volume of sensor gathered data, the present invention to this not
It is specifically limited.
S12, the sensor type for determining according to the sensor identification information sensor, and according to the sensor
The corresponding data parsing template of type search.
In actual applications, the corresponding relation included between sensor identification information and sensor type can be pre-established
Mapping relations, the default mapping of the sensor identification information searching of the sensor then included according to sensing data closes
System, with the sensor type of the quick obtaining sensor.
S13, using the data parsing template sensor status data is parsed.
In the embodiment of the present invention, define corresponding data previously according to sensor type and parse template, when sensor is the bottom of from
Layer is collected after sensing data in real time, and the data of template parsing collection are parsed by transferring corresponding data.
Sensing data analytic method provided in an embodiment of the present invention, the mode for parsing template by using data can be supported
The access of different type, different manufacturers sensor type, and when sensing data analysis protocol has upgrading or changed, can be only
It is modified for the data parsing template for defined parameters variable, without changing the program source generation for being used for realizing logical process
Code, without recompilating, you can realize that data are parsed, realizes definition and the separation of logical process, and then can quickly, efficiently
Ground is realized to be parsed to the data of different sensors type.
Fig. 2 diagrammatically illustrates the flow chart of the sensing data analytic method of another embodiment of the present invention.Reference picture 2,
The sensing data analytic method of the embodiment of the present invention specifically includes following steps：
The sensing data that S11, acquisition sensor are gathered in real time, the sensing data includes the sensor of the sensor
Identification information and sensor status data.
S12, the sensor type for determining according to the sensor identification information sensor, and according to the sensor
The corresponding data parsing template of type search.
S13, using the data parsing template sensor status data is parsed.
S14, according to default data filtering rule the data after parsing are filtered, be met the data filtering
The sensor of interest status data of rule.
Wherein, described filtering rule can be by User Defined.In addition, being also preset with most basic filtering rule in system
Then, including illegal value filtering, initial value filtering, such as most freshly harvested data and last data compare not to be reached without variation or variation
The base rules such as the threshold value to setting.
S15, corresponding data monitoring template searched according to the sensor type.
S16, using the data monitoring template to the sensor of interest status data carry out in real time monitoring and early warning, institute
Data monitoring template is stated to carry out in advance the abnormality of the sensing data by the pattern style and/or color pre-set
It is alert.
In the embodiment of the present invention, sensor is responsible for the collection of bottom sensing data, and the sensing data of collection is uploaded and sensed
Data analysis device, sensing data resolver parses template sum to the corresponding data set previously according to sensor type
It is managed and stores according to monitoring standard module, calls corresponding data parsing template to carry out data according to the sensor type of sensor
Parsing；And the data after parsing are filtered using default filtering rule, correspondence number is then called according to sensor type
Real-time exhibition is carried out according to the monitoring standard module state current to sensor.In addition, sensing data resolver is also realized to after filtering
Data stored.
The embodiment of the present invention can not only fast and efficiently realize the data parsing to different sensors type, Er Qietong
Cross the setting of filtering rule and data monitoring standard module, can more accurately parse the required data of user, and according to
Family demand is shown to it, lifts Consumer's Experience.
In the embodiment of the present invention, the sensor type that the sensor is determined according to the sensor identification information,
Corresponding data parsing template is searched according to the sensor type, specifically included：
According to the default mapping relations of sensor identification information searching, to obtain the sensor identification information correspondence
The sensor type of sensor；Include the correspondence pass between sensor identification information and sensor type in the mapping relations
System.The embodiment of the present invention, can be quickly and accurately true according to sensor identification information by way of pre-establishing mapping relations
Determine the sensor type of sensor, lifting system overall performance.
The corresponding parsing type of the sensor status data is judged according to the sensor type, the parsing type is extremely
Include expression parsing, parsing class parsing less.
According to the corresponding data parsing template of the parsing type search.
Specifically, when the parsing type is parsing class parsing, the data parsing template is parsing class.Correspondingly,
It is described that the sensor status data is parsed using data parsing template, including：According to the parsing class to institute
Sensor status data is stated to be parsed.
When the parsing type is expression parsing, the data parsing template is expression parsing function.Correspondingly,
It is described that the sensor status data is parsed using data parsing template, specifically include：According to the expression formula
Analytical function is parsed to the sensor status data.
In actual applications, sensing data resolver realizes the as shown in Figure 3 with workflow of data parsing.Referring to
Fig. 3, gets sensor status data first, then parses the corresponding sensor number of sensor, and according to the sensor
Numbering obtains respective sensor type, then inquires about the corresponding parsing type of the type, and parsing type is mainly supported：Expression formula solution
Analysis, parsing class parsing (support java, groovy and C# language), if parsing type is expression parsing type, are called pair
The expression parsing function library answered carries out data parsing, if parsing Class Type, then calls corresponding parsing class to carry out data
Parsing, obtains the data of json forms after being parsed, data filtering is carried out so as to follow-up.
Further, as shown in figure 4, the sensor status data according to the expression parsing function pair is carried out
Parsing, specifically includes following steps：
S141, the regular expression in the expression parsing function are extracted pair from the sensor status data
The variable data answered；
S142, the parsing expression parsing function, are indicated with obtaining the description added in the expression parsing function
Information, the description configured information is used for the data processing method for describing the variable data；
S143, according to it is described description configured information to the variable data carry out data processing.
It is every by being extended on the basis of the data extraction method based on regular expression in the embodiment of the present invention
One expression parsing function adds the description configured information of the data processing method for describing the variable data, for pair
Data are changed.For example, the data parsing template of a certain Temperature Humidity Sensor is：\d{2}(<V0{Convert.ToInt16
(V0)/10.0}>\d{4})\d{2}(<V1{Convert.ToInt16(V0)/100.0}>\d{4})\d{2}(<V2>\d
{4})；The character string that data parsing template representation sensor is received has 20, and resolver is by the data of the 3 to 6th
Parse, and be converted to integer divided by 10, result is then assigned to variable V 0；Resolver parses the data of the 9 to 12nd
Go out, and be converted to integer divided by 100, result is then assigned to variable V 1；Resolver parses the data of the 15 to 18th,
It is assigned to variable V 2.
According to above analytic method, if the data of input are 100358001310000020, need what is parsed
Variable data is 0358,1310 and 0020, carries out data processing to the variable data according to the description configured information, then
Parsing template can resolve to data V0=35.8, V1=13.10, V2=0020 more than.
It should be noted that for simple data type conversion and value computing, correspondence development language can be directly invoked
Support built-in function；For some of complex operation, it can be write by developer according to user's request and parse class accordingly, be transported
Calculate.
The embodiment of the present invention is by adding the data for describing the variable data for each expression parsing function
The description configured information of processing method, in that context it may be convenient to data parsing, conversion are carried out to the sensor with labyrinth and is opened up
Show；And can carry out various data parsings to each design parameter using regular expression, can be applicable it is various not
Same analytic method and a variety of analysis protocols, highly versatile.The embodiment of the present invention can quickly support different sensings
The access of device type, the parsing and preservation to data are realized on backstage.
For embodiment of the method, in order to be briefly described, therefore it is all expressed as to a series of combination of actions, but this area
Technical staff should know that the embodiment of the present invention is not limited by described sequence of movement, because according to present invention implementation
Example, some steps can be carried out sequentially or simultaneously using other.Secondly, those skilled in the art should also know, specification
Described in embodiment belong to necessary to preferred embodiment, the involved action not necessarily embodiment of the present invention.
Fig. 5 diagrammatically illustrates the structured flowchart of the sensing data resolver of one embodiment of the invention.Reference picture 5,
The sensing data resolver of the embodiment of the present invention specifically include data acquisition module 501, the first template searching modul 502 and
Data resolution module 503, wherein：Described data acquisition module 501, for obtaining the sensing data that sensor is gathered in real time,
The sensing data includes the sensor identification information and sensor status data of the sensor；The first described template is looked into
Module 502 is looked for, the sensor type for determining the sensor according to the sensor identification information, and according to the sensing
The corresponding data parsing template of device type search；Described data resolution module 503, for parsing template pair using the data
The sensor status data is parsed.
Sensing data resolver provided in an embodiment of the present invention, the mode for parsing template by using data can be supported
The access of different type, different manufacturers sensor type, and when sensing data analysis protocol has upgrading or changed, can be only
It is modified for the data parsing template for defined parameters variable, without changing the program source generation for being used for realizing logical process
Code, without recompilating, you can realize that data are parsed, realizes definition and the separation of logical process, and then can quickly, efficiently
Ground is realized to be parsed to the data of different sensors type.
In an alternate embodiment of the present invention where, as shown in fig. 6, described device also includes data filtering module 504, the
Two template searching moduls 505 and data disaply moudle 506, wherein：Described data filtering module 504, in the data
After parsing module is parsed using data parsing template to the sensor status data, according to default data mistake
Filter rule is filtered to the data after parsing, is met the sensor of interest status data of the data filtering rule；Institute
The the second template searching modul 505 stated, for searching corresponding data monitoring template according to the sensor type；Described number
According to display module 506, for using the data monitoring template sensor of interest status data is carried out monitoring in real time and
Early warning, the data monitoring template passes through the abnormality of the pattern style and/or color that pre-set to the sensing data
Carry out early warning.
In the embodiment of the present invention, the first template searching modul 502 specifically includes acquisition submodule, decision sub-module
With search submodule, wherein：
Described acquisition submodule, for according to the default mapping relations of sensor identification information searching, to obtain
The sensor type of the sensor identification information respective sensor, wherein, include sensor identification in the mapping relations
Corresponding relation between information and sensor type；Described decision sub-module, for judging institute according to the sensor type
The corresponding parsing type of sensor status data is stated, the parsing type at least includes expression parsing, parsing class parsing；It is described
Lookup submodule, for parsing template according to the corresponding data of the parsing type search.
Specifically, when the parsing type is parsing class parsing, the data parsing template is parsing class.Accordingly,
The data resolution module 503, specifically for being parsed according to the parsing class to the sensor status data.
Specifically, when the parsing type is expression parsing, the data parsing template is expression parsing function.
Accordingly, the data resolution module 503, specifically for the sensor status data according to the expression parsing function pair
Parsed.Further, data resolution module 503, specifically for the regular expressions in the expression parsing function
Formula extracts corresponding variable data from the sensor status data；The expression parsing function is parsed, it is described to obtain
The description configured information added in expression parsing function, the description configured information is used for the data for describing the variable data
Processing method；Data processing is carried out to the variable data according to the description configured information.
For device embodiment, because it is substantially similar to embodiment of the method, so description is fairly simple, it is related
Part illustrates referring to the part of embodiment of the method.
In addition, another embodiment of the present invention additionally provides a kind of electronic equipment, the electronic equipment includes：Housing, processing
Device, memory, circuit board and power circuit, wherein, the circuit board is placed in the interior volume that the housing is surrounded, the place
Reason device and the memory are arranged on the circuit board；The power circuit, for each circuit for the electronic equipment
Or device is powered；The memory is used to store executable program code；The processor is deposited by reading in the memory
The executable program code of storage runs program corresponding with executable program code, for performing following steps：Obtain and pass
The sensing data that sensor is gathered in real time, the sensing data includes the sensor identification information and sensor shape of the sensor
State data；The sensor type of the sensor is determined according to the sensor identification information；Looked into according to the sensor type
Look for corresponding data parsing template；And the sensor status data is parsed using data parsing template.
Sensing data analysis method and device provided in an embodiment of the present invention, the mode for parsing template by using data can
With support different type, different manufacturers sensor type access, and sensing data analysis protocol have upgrading or change when,
It can be modified just for the data parsing template for defined parameters variable, without changing the journey for being used for realizing logical process
Sequence source code, without recompilating, you can realize that data are parsed, realize definition and the separation of logical process, and then can be fast
Speed, efficiently realize to the parsing of the data of different sensors type.
Device embodiment described above is only schematical, wherein the unit illustrated as separating component can
To be or may not be physically separate, the part shown as unit can be or may not be physics list
Member, you can with positioned at a place, or can also be distributed on multiple NEs.It can be selected according to the actual needs
In some or all of module realize the purpose of this embodiment scheme.Those of ordinary skill in the art are not paying creativeness
Work in the case of, you can to understand and implement.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can
Realized by the mode of software plus required general hardware platform, naturally it is also possible to pass through hardware.Understood based on such, on
The part that technical scheme substantially in other words contributes to prior art is stated to embody in the form of software product, should
Computer software product can be stored in a computer-readable storage medium, such as ROM/RAM, magnetic disc, CD, including some fingers
Order is to cause a computer equipment (can be personal computer, server, or network equipment etc.) to perform each implementation
Method described in some parts of example or embodiment.
Although in addition, it will be appreciated by those of skill in the art that some embodiments in this include institute in other embodiments
Including some features rather than further feature, but not the combination of the feature of be the same as Example mean be in the scope of the present invention
Within and form different embodiments.For example, in the following claims, embodiment claimed it is any it
One mode can use in any combination.
Finally it should be noted that：The above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although
The present invention is described in detail with reference to the foregoing embodiments, it will be understood by those within the art that：It still may be used
To be modified to the technical scheme described in foregoing embodiments, or equivalent substitution is carried out to which part technical characteristic；
And these modification or replace, do not make appropriate technical solution essence depart from various embodiments of the present invention technical scheme spirit and
Scope.
Claims (10)
1. a kind of sensing data analytic method, it is characterised in that including:
The sensing data that sensor is gathered in real time is obtained, the sensing data includes the sensor identification information of the sensor
And sensor status data；
The sensor type of the sensor is determined according to the sensor identification information, and is searched according to the sensor type
Corresponding data parse template；And
The sensor status data is parsed using data parsing template.
2. according to the method described in claim 1, it is characterised in that use the data to parse template to the sensing described
After device status data is parsed, methods described also includes：
The data after parsing are filtered according to default data filtering rule, the mesh of the data filtering rule is met
Mark sensor status data；
Corresponding data monitoring template is searched according to the sensor type；And
Monitoring and early warning in real time, the data prison are carried out to the sensor of interest status data using the data monitoring template
Survey template and early warning is carried out to the abnormality of the sensing data by the pattern style and/or color pre-set.
3. method according to claim 1 or 2, it is characterised in that described that institute is determined according to the sensor identification information
The sensor type of sensor is stated, searching corresponding data according to the sensor type parses template, including：
According to the default mapping relations of sensor identification information searching, to obtain the sensor identification information to inductive sensing
Include the corresponding relation between sensor identification information and sensor type in the sensor type of device, the mapping relations；
The corresponding parsing type of the sensor status data is judged according to the sensor type, the parsing type is at least wrapped
Include expression parsing, parsing class parsing；
According to the corresponding data parsing template of the parsing type search.
4. method according to claim 3, it is characterised in that when the parsing type is expression parsing, the number
It is expression parsing function according to parsing template；
It is described that the sensor status data is parsed using data parsing template, including：According to the expression formula
Analytical function is parsed to the sensor status data.
5. method according to claim 4, it is characterised in that described to be sensed according to the expression parsing function pair
Device status data is parsed, including：
Regular expression in the expression parsing function extracts corresponding variable from the sensor status data
Data；
The expression parsing function is parsed, it is described to obtain the description configured information added in the expression parsing function
Description configured information is used for the data processing method for describing the variable data；
Data processing is carried out to the variable data according to the description configured information.
6. method according to claim 3, it is characterised in that when the parsing type is parsing class parsing, the number
It is parsing class according to parsing template；
It is described that the sensor status data is parsed using data parsing template, including：According to the parsing class
The sensor status data is parsed.
7. a kind of sensing data resolver, it is characterised in that including：
Data acquisition module, for obtaining the sensing data that sensor is gathered in real time, the sensing data includes the sensing
The sensor identification information and sensor status data of device；
First template searching modul, the sensor type for determining the sensor according to the sensor identification information, and
Corresponding data parsing template is searched according to the sensor type；
Data resolution module, for being parsed using data parsing template to the sensor status data.
8. device according to claim 7, it is characterised in that described device also includes：
Data filtering module, for parsing template to the sensor states number using the data in the data resolution module
After being parsed, the data after parsing are filtered according to default data filtering rule, the data are met
The sensor of interest status data of filtering rule；
Second template searching modul, for searching corresponding data monitoring template according to the sensor type；
Data disaply moudle, for being monitored in real time to the sensor of interest status data using the data monitoring template
And early warning, the data monitoring template passes through the abnormal shape of the pattern style and/or color that pre-set to the sensing data
State carries out early warning.
9. the device according to claim 7 or 8, it is characterised in that the first template searching modul, is specifically included：
Acquisition submodule, for according to the default mapping relations of sensor identification information searching, to obtain the sensor
The sensor type of identification information respective sensor, wherein, sensor identification information and sensing are included in the mapping relations
Corresponding relation between device type；
Decision sub-module, for judging the corresponding parsing type of the sensor status data, institute according to the sensor type
Stating parsing type at least includes expression parsing, parsing class parsing；
Submodule is searched, for parsing template according to the corresponding data of the parsing type search.
10. device according to claim 9, it is characterised in that
When the parsing type is expression parsing, the data parsing template is expression parsing function, the data solution
Module is analysed, is parsed specifically for the sensor status data according to the expression parsing function pair；
When the parsing type is parsing class parsing, the data parsing template is parsing class, the data resolution module, tool
Body is used to parse the sensor status data according to the parsing class.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710547807.0A CN107332849A (en) | 2017-07-06 | 2017-07-06 | A kind of sensing data analysis method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710547807.0A CN107332849A (en) | 2017-07-06 | 2017-07-06 | A kind of sensing data analysis method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107332849A true CN107332849A (en) | 2017-11-07 |
Family
ID=60196991
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710547807.0A Pending CN107332849A (en) | 2017-07-06 | 2017-07-06 | A kind of sensing data analysis method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107332849A (en) |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108667805A (en) * | 2018-04-08 | 2018-10-16 | 贵州云通曙光技术服务有限公司 | The analytic method and its device and computer readable storage medium of data |
| CN109032608A (en) * | 2018-07-30 | 2018-12-18 | 北京博大光通物联科技股份有限公司 | The system and method for multi-sensor data analytic uniform |
| CN109767599A (en) * | 2019-03-12 | 2019-05-17 | 北京隆普智能科技有限公司 | A kind of intelligent alarm method and its system |
| CN109933039A (en) * | 2017-12-15 | 2019-06-25 | 郑州宇通客车股份有限公司 | A kind of sensor model number adaptive approach and a kind of electric machine controller |
| CN110351315A (en) * | 2018-04-03 | 2019-10-18 | 中兴通讯股份有限公司 | Method, system and storage medium, the electronic device of data processing |
| CN110417734A (en) * | 2019-06-24 | 2019-11-05 | 广州迈峰网络科技有限公司 | Remote device data acquisition method, device and system |
| CN110933146A (en) * | 2019-11-14 | 2020-03-27 | 厦门网宿有限公司 | Data conversion method and device and server |
| CN111262812A (en) * | 2018-11-30 | 2020-06-09 | 比亚迪股份有限公司 | Data packet screening method and device |
| CN112486479A (en) * | 2020-11-30 | 2021-03-12 | 浙江中控技术股份有限公司 | Data acquisition method and device |
| CN113836369A (en) * | 2021-09-01 | 2021-12-24 | 上汽通用五菱汽车股份有限公司 | Environment monitoring method, system, terminal and computer readable storage medium |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102202093A (en) * | 2011-05-12 | 2011-09-28 | 南京中兴新软件有限责任公司 | Method for realizing sensor adaption and system thereof |
| CN103095854A (en) * | 2013-02-27 | 2013-05-08 | 南京理工大学常熟研究院有限公司 | Wireless sensor network isomerism information fusion decision-making system |
| CN103410551A (en) * | 2013-08-31 | 2013-11-27 | 山西潞安环保能源开发股份有限公司常村煤矿 | Data analysis system for ventilation safety |
| CN104348921A (en) * | 2014-10-30 | 2015-02-11 | 江苏博大光通物联科技有限公司 | Multi-sensor unified access method and system |
| CN104511205A (en) * | 2013-10-02 | 2015-04-15 | 杜也兵 | Data transmission method for monitoring device of water purifier and household electrical appliance with remote terminal |
| CN105897925A (en) * | 2016-05-31 | 2016-08-24 | 成都九十度工业产品设计有限公司 | Mobile remote electric power monitoring system based on 4G network and monitoring method |
-
2017
- 2017-07-06 CN CN201710547807.0A patent/CN107332849A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102202093A (en) * | 2011-05-12 | 2011-09-28 | 南京中兴新软件有限责任公司 | Method for realizing sensor adaption and system thereof |
| CN103095854A (en) * | 2013-02-27 | 2013-05-08 | 南京理工大学常熟研究院有限公司 | Wireless sensor network isomerism information fusion decision-making system |
| CN103410551A (en) * | 2013-08-31 | 2013-11-27 | 山西潞安环保能源开发股份有限公司常村煤矿 | Data analysis system for ventilation safety |
| CN104511205A (en) * | 2013-10-02 | 2015-04-15 | 杜也兵 | Data transmission method for monitoring device of water purifier and household electrical appliance with remote terminal |
| CN104348921A (en) * | 2014-10-30 | 2015-02-11 | 江苏博大光通物联科技有限公司 | Multi-sensor unified access method and system |
| CN105897925A (en) * | 2016-05-31 | 2016-08-24 | 成都九十度工业产品设计有限公司 | Mobile remote electric power monitoring system based on 4G network and monitoring method |
Non-Patent Citations (1)
| Title |
|---|
| 张军: ""开放式可重构远程监控机制的研究"", 《中国优秀硕士学位论文全文数据库（电子期刊）》 * |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109933039A (en) * | 2017-12-15 | 2019-06-25 | 郑州宇通客车股份有限公司 | A kind of sensor model number adaptive approach and a kind of electric machine controller |
| CN110351315A (en) * | 2018-04-03 | 2019-10-18 | 中兴通讯股份有限公司 | Method, system and storage medium, the electronic device of data processing |
| CN108667805A (en) * | 2018-04-08 | 2018-10-16 | 贵州云通曙光技术服务有限公司 | The analytic method and its device and computer readable storage medium of data |
| CN109032608A (en) * | 2018-07-30 | 2018-12-18 | 北京博大光通物联科技股份有限公司 | The system and method for multi-sensor data analytic uniform |
| CN111262812A (en) * | 2018-11-30 | 2020-06-09 | 比亚迪股份有限公司 | Data packet screening method and device |
| CN109767599A (en) * | 2019-03-12 | 2019-05-17 | 北京隆普智能科技有限公司 | A kind of intelligent alarm method and its system |
| CN110417734A (en) * | 2019-06-24 | 2019-11-05 | 广州迈峰网络科技有限公司 | Remote device data acquisition method, device and system |
| CN110933146A (en) * | 2019-11-14 | 2020-03-27 | 厦门网宿有限公司 | Data conversion method and device and server |
| CN110933146B (en) * | 2019-11-14 | 2022-09-16 | 厦门网宿有限公司 | Data conversion method and device and server |
| CN112486479A (en) * | 2020-11-30 | 2021-03-12 | 浙江中控技术股份有限公司 | Data acquisition method and device |
| CN113836369A (en) * | 2021-09-01 | 2021-12-24 | 上汽通用五菱汽车股份有限公司 | Environment monitoring method, system, terminal and computer readable storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107332849A (en) | A kind of sensing data analysis method and device | |
| CN108092962A (en) | A kind of malice URL detection method and device | |
| CN112800427B (en) | Webshell detection method and device, electronic equipment and storage medium | |
| KR101582601B1 (en) | Method for detecting malignant code of android by activity string analysis | |
| CN108494622A (en) | Monitoring rules configuration method, device and server | |
| CN106873952B (en) | Data processing system and method for mobile terminal webpage development and application device | |
| CN109144964A (en) | log analysis method and device based on machine learning | |
| CN106294219A (en) | A kind of equipment identification, data processing method, Apparatus and system | |
| CN113704094A (en) | Test case knowledge base construction method and device, electronic equipment and storage medium | |
| CN109714356A (en) | A kind of recognition methods of abnormal domain name, device and electronic equipment | |
| CN109285024B (en) | Online feature determination method and device, electronic equipment and storage medium | |
| JP6955676B2 (en) | Log analysis method, system and recording medium | |
| CN112822121A (en) | Traffic identification method, traffic determination method and knowledge graph establishment method | |
| CN107103060A (en) | The storage method and system of a kind of sensing data | |
| CN107463578B (en) | Application download amount statistical data deduplication method and device and terminal equipment | |
| CN111460448B (en) | Malicious software family detection method and device | |
| KR20180101858A (en) | Method and Apparatus for Gathering Data Based on One Class | |
| CN116681131A (en) | Knowledge-graph-based container mirror image warehouse risk prediction method | |
| CN108805290B (en) | Entity category determination method and device | |
| CN110263226A (en) | For the database update method, apparatus and electronic device of drug | |
| CN109784049A (en) | Method, equipment, system and the medium of threat data processing | |
| CN111580856A (en) | Internet of things equipment component version information extraction method for MIPS framework | |
| CN109491986B (en) | Fire-fighting parameter configuration method and device and terminal equipment | |
| CN113255766A (en) | Image classification method, device, equipment and storage medium | |
| CN111538914B (en) | Address information processing method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20171107 |
|
| RJ01 | Rejection of invention patent application after publication |