CN105426421A - Tense monitoring data quick visualization method and system - Google Patents
Tense monitoring data quick visualization method and system Download PDFInfo
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- CN105426421A CN105426421A CN201510737077.1A CN201510737077A CN105426421A CN 105426421 A CN105426421 A CN 105426421A CN 201510737077 A CN201510737077 A CN 201510737077A CN 105426421 A CN105426421 A CN 105426421A
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- G06F16/90—Details of database functions independent of the retrieved data types
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Abstract
The invention discloses a tense monitoring data quick visualization method and system. The method comprises: establishing a non-relational database and a cache database; in the cache database, keys of tense data are the codes of data type : number : time, and a json object is used for value storage; with a data persistence service method, storing data in the cache database into the non-relational database; and in the non-relational database, codes of data type : number : time segment are used as primary keys, combining data records in the time segment into a big object, and storing the big object as a value. A conventional relational database is replaced with an Nosql technology, so that a data model does not need to be pre-defined, no forced data model requirements exist, and no database query statement efficiency limitations exist; and scale-out cluster is supported, so that the problem of database capacity limitation is effectively solved.
Description
Technical field
The present invention relates to the visual field of temporal data of Internet of Things, monitoring etc., particularly tense Monitoring Data quick visualization method and system.
Background technology
Tense data query, temporal data trend chart, temporal data statistical report form etc. are had at present for tense Monitoring Data quick visualization correlation function demand.Classic method uses relevant database, a data form is designed for each class Temporal data type, design access interface is needed for each function, and the query statement (SQL) be finally converted into database table inquiry, concrete, its for different Temporal data types as temperature, displacement, GPS, rainfall, mud position, water level etc., design corresponding data form respectively, by different method of servicing as inquired about the data list of tense record according to the given time period, maximum in inquiry preset time section, minimum, the eigenwert such as average, data in statistics certain hour section also form form, for each functional requirement design access interface, data query is realized eventually through the query statement inquired about database table (SQL), Visual Chart and statistical report form function.
But very fast for the data frequency ratio based on tense in prior art, data volume rises very fast, along with time integral, data quantitative change is large, and due to the restriction of underlying database and query sentence of database, efficiency data query is very low, and along with the total quantitative change of data large, the slack-off speed of efficiency is faster; In use, this is fixing to find query time segment base, and such as: according to hour, day, month etc., statistical unit is minimum to be also also greater than hour substantially, and is whole unit; And graph making is carried out in front end, required data representation format, stores inconsistent with rear end, needs to change.
Therefore, this is the art problem demanding prompt solution.
Summary of the invention
In view of this, be necessary to provide a kind of tense Monitoring Data quick visualization method and the system that can improve inquiry velocity and response speed.
A kind of tense Monitoring Data quick visualization method, described tense Monitoring Data quick visualization method comprises the steps:
S1, set up non-relational database and cache database;
S2, in cache database, various temporal data used " data type: numbering: time " to be encoded to key, use json object to store as value;
S3, by data persistence method of servicing, the data in cache database are stored in non-relational database;
S4, in non-relational database, use " data type: numbering: time period " to be encoded to major key, the data record in the time period is combined as a large objects and is stored as value.
A kind of tense Monitoring Data quick visualization system, described tense Monitoring Data quick visualization system comprises as lower module:
Database module, for setting up non-relational database and cache database;
Cache database memory module, in cache database, uses various temporal data " data type: numbering: time " to be encoded to key, uses json object to store as value;
Data in cache database, for by data persistence method of servicing, are stored in non-relational database by data persistence service module;
Non-relational database memory module, in non-relational database, uses " data type: numbering: time period " to be encoded to major key, the data record in the time period is combined as a large objects and is stored as value.
The invention provides a kind of tense Monitoring Data quick visualization method and system, by in conjunction with existing NoSql technology, caching technology as Back end data store, the extraction carrying out eigenwert by the time period customized and characteristics extraction entry stores, generate statistical report form according to set time section and customization time period to store simultaneously, with adopt compared with relevant database in prior art, largely can promote the visual efficiency of temporal database.Tense Monitoring Data quick visualization method of the present invention and system, it uses Nosql technology to replace traditional relevant database, without the need to pre-defined data model, without forcing data model requirement, also limits without query sentence of database efficiency; Support cluster, horizontal dilatation, the problem that efficient solution limits except database volume; Simultaneously according to business demand, carry out preprocessing process at data storage layer in the face of raw data, effectively alleviate the inquiry pressure of front end applications to database, inquiry velocity and response speed can be improved simultaneously; And data time is encoded in key, higher than the efficiency of classic method to the inquiry of set time section; And for the application scenarios of these time series datas, the request for information of set time section is more; Front-end business displaying and rear end store and all use json data layout, do not need to do separately data conversion again.
Accompanying drawing explanation
Fig. 1 is the Organization Chart of tense Monitoring Data quick visualization method of the present invention;
Fig. 2 is the process flow diagram of tense Monitoring Data quick visualization method of the present invention;
Fig. 3 is the sub-process figure of step S3 in Fig. 2;
Fig. 4 is the structured flowchart of tense Monitoring Data quick visualization system of the present invention;
Fig. 5 is the minor structure block diagram of cache database memory module in Fig. 4;
Fig. 6 is the minor structure block diagram of data persistence service module in Fig. 4;
Fig. 7 is the minor structure block diagram of Fig. 4 China-African tie database storage module.
Embodiment
Clearly understand to make object of the present invention, technical scheme and advantage, below in conjunction with drawings and Examples, the present invention is further elaborated, is to be understood that, specific embodiment described herein only in order to explain the present invention, is not intended to limit the present invention.
As shown in Figure 1, the embodiment of the present invention provides a kind of tense Monitoring Data quick visualization method, and described tense Monitoring Data quick visualization method comprises the steps:
S1, set up non-relational database and cache database;
S2, in cache database, various temporal data used " data type: numbering: time " to be encoded to key, use json object to store as value;
S3, by data persistence method of servicing, the data in cache database are stored in non-relational database,
S4, in non-relational database, use " data type: numbering: time period " to be encoded to major key, the data record in the time period is combined as a large objects and is stored as value.
Wherein, the preferred Couchbase database of described non-relational database, described Couchbase database is the NoSQL data base management system (DBMS) of a distributed Oriented Documents, simple and the reliable and high-performance of Memcached of this is system combined CouchDB and the retractility of Membase.
The preferred Redis database of cache database, described Redis database is that a use ANSI C of increasing income is write, network enabled, can also can log type, the Key-Value database of persistence based on internal memory, and provide multilingual API application programming interfaces.
Tense Monitoring Data quick visualization method described in the embodiment of the present invention, its in conjunction with existing NoSql technology, caching technology as Back end data store, the extraction carrying out eigenwert by the time period customized and characteristics extraction entry stores, generate statistical report form according to set time section and customization time period to store simultaneously, with adopt compared with relevant database in prior art, largely can promote the visual efficiency of temporal database.
By using existing Nosql technology to replace traditional relevant database, without the need to pre-defined data model, without forcing data model requirement, also limit without query sentence of database efficiency; Can support cluster, horizontal dilatation, efficient solution is except database volume restriction; Meanwhile, according to business demand, carry out preprocessing process at data storage layer in the face of raw data, effectively can alleviate the inquiry pressure of front end applications to database, inquiry velocity and response speed can also be improved; And front-end business displaying and rear end storage all use json data layout, do not need to do separately data conversion again.
Concrete, the various temporal datas in described step S2 comprise temperature data, displacement data, gps data, rainfall data, mud bit data, waterlevel data.
Wherein, described step S2 also comprises the data in initial storage medium cache database, provides data expired service, and timing is removed wherein by the data of persistence.
Concrete, namely the expired service of described data represents in persistence process, timing operation persistence service, after data success persistent storage, just the data in buffer memory is deleted.
Described step S3 also comprises step by step following:
S31, characteristic sum data volume according to data type, time predefined section;
S32, read all data packings in redis in data time section of the same type according to time predefined section, be stored into non-relational database.
It is wherein the time interval run for the persistence service preset value of back-end data according to the characteristic sum data volume predefined time period of data type.The effect of data persistence service the data of certain hour section is packaged into an entirety to store, data volume of this packing can not excessive can not be too small, excessive impact is had on later stage inquiry, too small again can to stores service build-up of pressure.But for dissimilar time series data, the frequency of Data Source is different, the data such as such as rainfall, mud position, water level, data frequency is smaller; And GPS etc., data frequency relatively can be a lot of soon, and for such as geologic hazard application, flood season and non-flood period, data frequency is also inconsistent.Like this, for the data that frequency is fast, be set, the data that frequency is slower the shorter persistence time interval accordingly, the wider time interval is set.
Described step S4 also comprises the data to being stored in non-relational database, provide timing when calculating, day, the moon, season, year statistical report form, extract eigenwert and carry out the statistical report form service that stores, and data query, the visual service of chart.
Wherein, described eigenwert comprises: maximal value, minimum value, mean value etc., and above-mentioned numerical value is all judge according to all data in set time section, such as year, half a year, season, the moon, day, and choosing of concrete time is general relevant with form.When generation statistical report form, eigenwert judges with all data that can get in the time period.
To sum up, tense Monitoring Data quick visualization method described in the embodiment of the present invention, first non-relational database and cache database is set up, and by various temporal data as temperature, displacement, GPS, rainfall, mud position, water level are all stored in cache database according to the form of key-value pair, namely for a temporal data record, use " data type: numbering: time " to be encoded to key, use json object to store as value.For the data in cache database, by data persistence method of servicing, namely according to the characteristic sum data volume of data type, time predefined section, realize according to time predefined section, read all data packings in redis in data time section of the same type, be stored into non-relational database.Non-relational database is as the persistent storage medium of tense Monitoring Data, and the form that key value is right stores data, uses " data type: numbering: time period " major key of encoding, the data record in the time period is combined as a large objects and is stored as value.For the data be stored in non-relational database, can provide timing when calculating, day, the moon, season, year statistical report form, extract eigenwert and carry out the statistical report form service that stores, and data query, the visual service of chart.Simultaneously for the data in initial storage medium cache database, provide data expired service, timing is removed wherein by the data of persistence, makes the data volume of cache database remain on certain scale.
The embodiment of the present invention also provides a kind of tense Monitoring Data quick visualization system, and described tense Monitoring Data quick visualization system comprises as lower module:
Database module, for setting up non-relational database and cache database;
Cache database memory module, in cache database, uses various temporal data " data type: numbering: time " to be encoded to key, uses json object to store as value;
Data in cache database, for by data persistence method of servicing, are stored in non-relational database by data persistence service module,
Non-relational database memory module, in non-relational database, uses " data type: numbering: time period " to be encoded to major key, the data record in the time period is combined as a large objects and is stored as value.
Described various temporal data in described database module comprises temperature data, displacement data, gps data, rainfall data, mud bit data, waterlevel data.
Described data persistence service module comprises following submodule:
Time setting submodule, described time setting submodule is used for the characteristic sum data volume according to data type, time predefined section;
Sub module stored, all data that described sub module stored is used for reading in redis in data time section of the same type according to time predefined section are packed, and are stored into non-relational database.
Described cache database memory module also comprises data expiration policies Attendant sub-module, described data expiration policies Attendant sub-module is used for the data in initial storage medium cache database, there is provided data expired service, timing is removed wherein by the data of persistence.
Described non-relational database memory module also comprises statistical form Attendant sub-module, described statistical form Attendant sub-module is used for the data be stored in non-relational database, there is provided timing when calculating, day, the moon, season, year statistical report form, extract the statistical report form service that eigenwert carrying out stores, and data query, the visual service of chart.
Tense Monitoring Data quick visualization method described in the embodiment of the present invention, its in conjunction with existing NoSql technology, caching technology as Back end data store, the extraction carrying out eigenwert by the time period customized and characteristics extraction entry stores, generate statistical report form according to set time section and customization time period to store simultaneously, with adopt compared with relevant database in prior art, largely can promote the visual efficiency of temporal database.
Concrete, described in the embodiment of the present invention, tense Monitoring Data quick visualization method hinge structure has following advantage:
(1) by using Nosql technology to replace traditional relevant database, without the need to pre-defined data model, without forcing data model requirement, also limit without query sentence of database efficiency; Support cluster, horizontal dilatation, the problem that efficient solution limits except database volume;
(2) simultaneously according to business demand, carry out preprocessing process at data storage layer in the face of raw data, effectively alleviate the inquiry pressure of front end applications to database, inquiry velocity and response speed can be improved simultaneously;
(3) data time is encoded in key, higher than the efficiency of classic method to the inquiry of set time section; And for the application scenarios of these time series datas, the request for information of set time section is more;
(4) front-end business displaying and rear end store and all use json data layout, do not need to do separately data conversion again.
In this instructions, each embodiment adopts the mode of going forward one by one to describe, and what each embodiment stressed is the difference with other embodiments, between each embodiment identical similar portion mutually see.
Professional can also recognize further, in conjunction with unit and the algorithm steps of each example of embodiment disclosed herein description, can realize with electronic hardware, computer software or the combination of the two, in order to the interchangeability of hardware and software is clearly described, in the above description according to the functional composition and the step that generally describe each example.These functions perform with hardware or software mode actually, depend on application-specific and the design constraint of technical scheme.Professional and technical personnel can use distinct methods to realize described function to each specifically should being used for, but this realization should not exceed scope of the present invention.
The software module that the method described in conjunction with embodiment disclosed herein or the step of algorithm can directly use hardware, processor to perform, or the combination of the two is implemented.Software module can be placed in random access memory, internal memory, ROM (read-only memory), electrically programmable ROM, electricity can sassafras except any other forms of storage medium known in programming ROM, register, hard disk, moveable magnetic disc, CD-ROM or technical field.
By reference to the accompanying drawings embodiments of the invention are described above; but the present invention is not limited to above-mentioned embodiment; above-mentioned embodiment is only schematic; instead of it is restrictive; those of ordinary skill in the art is under enlightenment of the present invention; do not departing under the ambit that present inventive concept and claim protect, also can make a lot of form, these all belong within protection of the present invention.
Claims (10)
1. a tense Monitoring Data quick visualization method, is characterized in that: described tense Monitoring Data quick visualization method comprises the steps:
S1, set up non-relational database and cache database;
S2, in cache database, various temporal data used " data type: numbering: time " to be encoded to key, use json object to store as value;
S3, by data persistence method of servicing, the data in cache database are stored in non-relational database;
S4, in non-relational database, use " data type: numbering: time period " to be encoded to major key, the data record in the time period is combined as a large objects and is stored as value.
2. tense Monitoring Data quick visualization method according to claim 1, is characterized in that, the various temporal datas in described step S2 comprise temperature data, displacement data, gps data, rainfall data, mud bit data, waterlevel data.
3. tense Monitoring Data quick visualization method according to claim 1, is characterized in that, described step S2 also comprises the data in initial storage medium cache database, provides data expired service, and timing is removed wherein by the data of persistence.
4. tense Monitoring Data quick visualization method according to claim 1, it is characterized in that, described step S3 also comprises step by step following:
S31, characteristic sum data volume according to data type, time predefined section;
S32, read all data packings in redis in data time section of the same type according to time predefined section, be stored into non-relational database.
5. tense Monitoring Data quick visualization method according to claim 1, it is characterized in that, described step S4 also comprises the data to being stored in non-relational database, there is provided timing when calculating, day, the moon, season, year statistical report form, extract the statistical report form service that eigenwert carrying out stores, and data query, the visual service of chart.
6. a tense Monitoring Data quick visualization system, is characterized in that, described tense Monitoring Data quick visualization system comprises as lower module:
Database module, for setting up non-relational database and cache database;
Cache database memory module, in cache database, uses various temporal data " data type: numbering: time " to be encoded to key, uses json object to store as value;
Data in cache database, for by data persistence method of servicing, are stored in non-relational database by data persistence service module;
Non-relational database memory module, in non-relational database, uses " data type: numbering: time period " to be encoded to major key, the data record in the time period is combined as a large objects and is stored as value.
7. tense Monitoring Data quick visualization system according to claim 6, it is characterized in that, the various temporal datas in described cache database memory module comprise temperature data, displacement data, gps data, rainfall data, mud bit data, waterlevel data.
8. tense Monitoring Data quick visualization method according to claim 6, it is characterized in that, described cache database memory module also comprises data expiration policies Attendant sub-module, described data expiration policies Attendant sub-module is used for the data in initial storage medium cache database, there is provided data expired service, timing is removed wherein by the data of persistence.
9. tense Monitoring Data quick visualization system according to claim 6, it is characterized in that, described data persistence service module comprises following submodule:
Time setting submodule, described time setting submodule is used for the characteristic sum data volume according to data type, time predefined section;
Sub module stored, all data that described sub module stored is used for reading in redis in data time section of the same type according to time predefined section are packed, and are stored into non-relational database.
10. tense Monitoring Data quick visualization system according to claim 6, it is characterized in that, described non-relational database memory module also comprises statistical form Attendant sub-module, described statistical form Attendant sub-module is used for the data be stored in non-relational database, there is provided timing when calculating, day, the moon, season, year statistical report form, extract the statistical report form service that eigenwert carrying out stores, and data query, the visual service of chart.
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| CN111443970A (en) * | 2020-03-24 | 2020-07-24 | 山东浪潮通软信息科技有限公司 | Method, device and equipment for assembling multi-source data and readable medium |
| CN111443970B (en) * | 2020-03-24 | 2023-11-03 | 浪潮通用软件有限公司 | Method, device, equipment and readable medium for assembling multi-source data |
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| CN111488386B (en) * | 2020-04-14 | 2023-09-29 | 北京易数科技有限公司 | Data query method and device |
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