CN108038199A - The sensor time series data storage method and system of a kind of hierarchical structure - Google Patents

The sensor time series data storage method and system of a kind of hierarchical structure Download PDF

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CN108038199A
CN108038199A CN201711319768.5A CN201711319768A CN108038199A CN 108038199 A CN108038199 A CN 108038199A CN 201711319768 A CN201711319768 A CN 201711319768A CN 108038199 A CN108038199 A CN 108038199A
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sensor
store path
data storage
path
byte
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王建民
黄向东
赵馨逸
康荣
王晨
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Tsinghua University
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Tsinghua University
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2458Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2474Sequence data queries, e.g. querying versioned data
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/22Indexing; Data structures therefor; Storage structures

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Databases & Information Systems (AREA)
  • General Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Mathematical Physics (AREA)
  • Computational Linguistics (AREA)
  • Probability & Statistics with Applications (AREA)
  • Fuzzy Systems (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The present invention provides a kind of the sensor time series data storage method and system of hierarchical structure, the described method includes:When obtaining the gathered data of sensor, while obtain the attribute information of the sensor and the description information of the gathered data;Using the attribute information as the first store path byte, using the description information as the second store path byte;The first store path byte and the second store path combination of bytes are formed into a data store path, by the acquired data storage into the data storage path.By the way that the attribute information of time series data is arranged in sequence, and the description information for combining time series data forms data storage path, introducing the matched mode of asterisk wildcard strengthens semanteme, the complete trails of description sensor exclusive path can be expressed, the prefix path of multiple sensors and the band star road footpath of the multiple level combinations of description are described, the attribute that sensor is covered clearly, is intactly expressed, can clearly demonstrate that the level association between attribute information.

Description

The sensor time series data storage method and system of a kind of hierarchical structure
Technical field
The present invention relates to technical field of data processing, more particularly, to a kind of sensor time series data of hierarchical structure Storage method and system.
Background technology
Time series database full name is time series databases.Time series databases are mainly used for referring to processing band time tag The data of (changing according to the order of time, i.e. the time serializes), the data with time tag are also referred to as time series data.When Between sequence data mainly by all types of monitorings in real time such as power industry, chemical industry, check and gather, produce with analytical equipments Data, the typical feature of these industrial datas are:Generation frequency fast (each monitoring point can produce more datas in one second), Depend critically upon acquisition time (each data is required to correspond to unique time), (conventional is real-time greatly for measuring point multiple data quantity Monitoring system has thousands of monitoring point, and monitoring point all produces data each second, produces the data volume of tens GB daily).
With the popularization of technology of Internet of things and the development of sensor technology, industrial circle carries out measurement value sensor instant Transmission, storage and the operation of inquiry and renewal are more universal and important.The sensor of industrial circle and its numerical value of generation have Three features below:(1) data caused by sensor are a kind of time serieses being made of timestamp and sensor collection value Data, these data usually carry out the storage and operation of data using sensor as least unit;(2) the sensing utensil of data is produced There are abundant attribute information (geographical location, affiliated owner, corresponding device type etc. as residing for sensor), and general character attribute information Various (such as multiple sensors may belong to areal, same owner, same equipment);Data carry out produced by sensor During storage, these attribute informations also need to be recorded simultaneously;(3) when being operated to sensing data, user needs root Carry out simply increase, inquiry, renewal, delete operation and complex operations in itself according to attribute sensor information or sensor.
Therefore, find a kind of suitable time series data storage method and carry out category that is simple, intuitively describing time series data complexity Property information, and it is particularly critical conveniently by this expression way to the attribute information of these time series datas inquire about etc. operation. The existing expression for time series data is typically attribute information scatteredization.InfluxDB, OpenTSDB etc. are more mature The attribute information of time series data can be disassembled among the distinctive concept of its system in time series database.Such as have in InfluxDB Three kinds of descending concepts, respectively measurement, label and domain, user is needed the attribute of time series data by balance during use Information is discrete to be corresponded in these three concepts, then carries out the operation such as inquiring about by Property Name.Such expression way solves The expression problem of a variety of attribute informations, can also support that the time series data for attribute information operates, but there is also one at the same time A little problems:By the complete discretization of attribute information so that the relevance of original level concept is not expressed;It is not easy to carry out belong to more Property inquiry combination;Enter gate threshold height.
The content of the invention
The present invention provides a kind of a kind of hierarchical structure for overcoming the above problem or solving the above problems at least in part Sensor time series data storage method and system, solve attribute information complete discretization when storing data in the prior art, no The problem of being convenient for multiattribute inquiry combination.
According to an aspect of the present invention, there is provided a kind of sensor time series data storage method, including:
When obtaining the gathered data of sensor, while obtain the attribute information of the sensor and retouching for the gathered data State information;
Using the attribute information as the first store path byte, using the description information as the second store path word Section;The first store path byte and the second store path combination of bytes are formed into a data store path, by institute Acquired data storage is stated into the data storage path.
As preference, the attribute information includes sensor identification attribute information, the sensor identification attribute information For recording the affiliated information of the sensor.
As preference, using the attribute information as the first store path byte, by the description of the sensing data Information is specifically included as the second store path byte:
Sequence is split as a [1], a [2] by the attribute information according to affiliated entity information ..., a [k];By a [1] .a [2] ... .a [k] is used as the first store path byte;
The description information of gathered data is obtained, the description information is split as a [k+1], a [k according to entity name information +2],…,a[n];Using a [k+1] .a [k+2] ... .a [n] as the second store path byte.
As preference, the first store path byte and the second store path combination of bytes are formed into a number According to store path, specifically include:
Start byte by path of keyword ROOT, by the first store path byte and the first store path combination of bytes, Obtain data storage path ROOT.a [1] .a [2] .a [3] ... .a [k] ... .a [n];Wherein, a [k+1] ... .a [n] expressions pair The sensor answered, a [1] .a [2] .a [3] ... .a [k] represent the affiliated information of the sensor.
As preference, further include:
Asterisk wildcard, the replaceable first and second storage road of the asterisk wildcard are set in the data storage path The content of optional position in the byte of footpath, the value for representing the asterisk wildcard position attribution are arbitrary value.
A kind of sensor time series data storage system, including data acquisition module and path-generating module;
When obtaining the gathered data of sensor, while obtain the attribute information of the sensor and retouching for the gathered data State information;
Using the attribute information as the first store path byte, using the description information as the second store path word Section;The first store path byte and the second store path combination of bytes are formed into a data store path, by institute Acquired data storage is stated into the data storage path.
A kind of sensor time series data storage device, including:
At least one processor;And
At least one processor being connected with the processor communication, wherein:
The memory storage has the programmed instruction that can be performed by the processor, and the processor calls described program to refer to Order is able to carry out sensor time series data storage method described above.
A kind of computer program product, the computer program product include being stored in non-transient computer readable storage medium Computer program in matter, the computer program include programmed instruction, when described program instruction is computer-executed, make institute State computer and perform sensor time series data storage method described above.
The present invention proposes a kind of the sensor time series data storage method and system of hierarchical structure, by by time series data Attribute information arranges in sequence, and the description information for combining time series data forms data storage path, introduces asterisk wildcard The mode matched somebody with somebody strengthens semanteme so that before it can express the complete trails of description sensor exclusive path, the multiple sensors of description Sew path and the band star road footpath of the multiple level combinations of description, the attribute that sensor is covered can clearly, intactly be expressed Out, the level association between attribute information can be clearly demonstrated that.
Brief description of the drawings
Fig. 1 is the sensor time series data storage method flow diagram according to the embodiment of the present invention.
Embodiment
With reference to the accompanying drawings and examples, the embodiment of the present invention is described in further detail.Implement below Example is used to illustrate the present invention, but is not limited to the scope of the present invention.
As shown in Figure 1, a kind of sensor time series data storage method is shown in figure, including:
When obtaining sensing data, while obtain the attribute information and description information of the sensing data;
When obtaining the gathered data of sensor, while obtain the attribute information of the sensor and retouching for the gathered data State information;
Using the attribute information as the first store path byte, using the description information as the second store path word Section;The first store path byte and the second store path combination of bytes are formed into a data store path, by institute Acquired data storage is stated into the data storage path.
In the present embodiment, the attribute information includes sensor identification attribute information and time attribute information;The biography Sensor identity property information is used for the affiliated information for recording the sensor, and the time attribute information is used to record the sensing The temporal information of the device collection gathered data can be recorded in the time value of the gathered data stored under the store path.
In the present embodiment, using the attribute information as the first store path byte, by retouching for the sensing data Information is stated as the second store path byte, is specifically included:
The attribute information is split as a [1], a [2] according to time series ..., a [k];By a [1] .a [2] ... .a [k] As the first store path byte;
The description information of gathered data is obtained, the description information is split as a [k+1], a [k+2] ..., a [n];By a [k+1] .a [k+2] ... .a [n] are used as the second store path byte.
Attribute information is split as by a [1], a [2] according to the time series of practical significance ..., a [k];By sensor information A [k+1], a [k+2] are split as ..., a [n].By the part using attribute information as data storage path, will can sense Attribute that device is covered is clear, completely expresses, and attribute information is split, and the first store path byte of conduct, It can clearly show the hierarchical relationship between attribute information.
As preference, the first store path byte and the second store path combination of bytes are formed into a number According to store path, specifically include:
Start byte by path of keyword ROOT, by the first store path byte and the first store path combination of bytes, Obtain data storage path ROOT.a [1] .a [2] .a [3] ... .a [k] ... .a [n];Wherein, a [k+1] ... .a [n] expressions pair The sensor answered, a [1] .a [2] .a [3] ... .a [k] represent the affiliated information of the sensor, can be specifically sensor institute Locate geographical location, affiliated owner, corresponding device type etc..
In the present embodiment, further include:
Asterisk wildcard is configured in the data storage path, the asterisk wildcard is alternatively in the first store path byte The content of optional position.More powerful group can be supported by the flexible using enhancing query semantics of wild symbol (" * " symbol) Close the complex operations such as inquiry.
Use the semantic coverage of the path expression described in asterisk wildcard " * " enhancing data storage path." * " can replace road Any a [k] (1 in footpath<=k<=n) part, represent a [k] (1<=k<=n) position is arbitrary content.
" * [i] " expression-form is used to simplify the situation (wherein i is integer) of multiple " * " connection, " * [i] " can represent i A continuous " * " symbol.
In the present embodiment, when user needs to carry out the inquiry of time series data, operation is as follows:
1st, when the data for (or multiple) sensor are inquired about, grammer is as follows:
SELECT a [k+1] ... .a [n] FROM ROOT.a [1] ... .a [k], ROOT.a [1] ' ... .a [k] ' ....
2nd, when all the sensors data are inquired about (device path is complete) under for (or multiple) equipment, grammer It is as follows:
SELECT*FROM ROOT.a [1] ... .a [k], ROOT.a [1] ' ... .a [k] ' ....
3rd, all the sensors data are inquired about that (attribute is appoints among device path under for (or multiple) equipment Meaning value) when, grammer is as follows:
SELECT*FROM ROOT.a [1] ... .* [i] ... .a [k], ROOT.a [1] ' ... .* [i] ' ... .a [k] ' ....
4th, when being inquired about (device path is complete) for (or multiple) equipment lower part sensing data, grammer It is as follows:
SELECT a [k+1] ... .* [i] ... .a [n] FROM ROOT.a [1] ... .a [k], ROOT.a [1] ' ... .a [k] ' ....
5th, when being inquired about for (or multiple) equipment lower part sensing data, (attribute is to appoint among device path Meaning value) when, grammer is as follows:
SELECT a [k+1] ... .* [i] ... .a [n] FROM ROOT.a [1] ... .a [j] ... .a [k], ROOT.a [1] ' ... .a [v] ' ... .a [k] ' ....
It is specifically, shown in the following example:
There are two laptop equipment in Haidian District, Beijing City, there is cpu temperature, CPU humidity sensors and Memory respectively Three sensors of temperature.Laptop device attribute can be split as by we:Beijing (Beijing), Haidian District (Haidian), three parts of laptop (Laptop1, Laptop2), sensor information is split as:CPU、Memory、 Four temperature (Temperature), humidity (Humidity) parts.The corresponding sequential of four sensors that this two equipment possess Data path is:
ROOT.Beijing.Haidian.Laptop1.CPU.Temperature;
ROOT.Beijing.Haidian.Laptop1.CPU.Humidity;
ROOT.Beijing.Haidian.Laptop1.Memory.Temperature;
ROOT.Beijing.Haidian.Laptop2.CPU.Temperature;
ROOT.Beijing.Haidian.Laptop2.CPU.Humidity;
ROOT.Beijing.Haidian.Laptop2.Memory.Temperature;
If user needs the cpu temperature sensor values for Haidian District Beijing laptop Laptop1 equipment to carry out During inquiry, we can use following query statement (corresponding 3-1 steps above):
SELECT CPU.Temperature FROM ROOT.Beijing.Haidian.Laptop1;
If user needs all the sensors numerical value for Haidian District Beijing laptop Laptop1 equipment to be inquired about When, we can use following query statement (corresponding 3-2 steps above):
SELECT*FROM ROOT.Beijing.Haidian.Laptop1;
If user needs all the sensors numerical value of the laptop Laptop1 for Beijing all regions to be inquired about When, we can use following query statement (corresponding 3-3 steps above):
SELECT*FROM ROOT.Beijing.*.Laptop1;
If user needs all temperature sensor numerical value for Haidian District Beijing laptop Laptop1 equipment to carry out During inquiry, we can use following query statement (corresponding 3-4 steps above):
SELECT*.Temperature FROM ROOT.Beijing.Haidian.Laptop1;
If user needs the temperature sensor numerical value of the laptop Laptop1 for Beijing all regions to be inquired about When, we can use following query statement (corresponding 3-5 steps above):
SELECT*.Temperature FROM ROOT.Beijing.*.Laptop1。
A kind of sensor time series data storage system, including data acquisition module and path life are also shown in the present embodiment Into module;
The data acquisition module is used for when obtaining the gathered data of sensor, while obtains the attribute of the sensor The description information of information and the gathered data;
The path-generating module is used for using the attribute information as the first store path byte, by the description information As the second store path byte;The first store path byte and the second store path combination of bytes are formed one Data storage path, by the acquired data storage into the data storage path.
A kind of sensor time series data storage device is also shown in the present embodiment, including:
At least one processor;And
At least one processor being connected with the processor communication, wherein:
The memory storage has the programmed instruction that can be performed by the processor, and the processor calls described program to refer to Order is able to carry out sensor time series data storage method described above.
A kind of computer program product, the computer program product include being stored in non-transient computer readable storage medium Computer program in matter, the computer program include programmed instruction, when described program instruction is computer-executed, make institute State computer and perform sensor time series data storage method described above.
Sensor time series data storage device is also shown in the present embodiment, including:Processor (processor), storage Device (memory), communication interface (Communications Interface) and bus;
Wherein,
The processor, memory, communication interface complete mutual communication by the bus;
The communication interface is used for the information transmission between the test equipment and the communication equipment of display device;
The processor is used to call the programmed instruction in the memory, is provided with performing above-mentioned each method embodiment Method, such as including:
When obtaining the gathered data of sensor, while obtain the attribute information of the sensor and retouching for the gathered data State information;
Using the attribute information as the first store path byte, using the description information as the second store path word Section;The first store path byte and the second store path combination of bytes are formed into a data store path, by institute Acquired data storage is stated into the data storage path.
The present embodiment discloses a kind of computer program product, and the computer program product includes being stored in non-transient calculating Computer program on machine readable storage medium storing program for executing, the computer program include programmed instruction, when described program instruction is calculated When machine performs, computer is able to carry out the method that above-mentioned each method embodiment is provided, such as including:
When obtaining the gathered data of sensor, while obtain the attribute information of the sensor and retouching for the gathered data State information;
Using the attribute information as the first store path byte, using the description information as the second store path word Section;The first store path byte and the second store path combination of bytes are formed into a data store path, by institute Acquired data storage is stated into the data storage path.
The present embodiment provides a kind of non-transient computer readable storage medium storing program for executing, the non-transient computer readable storage medium storing program for executing Computer instruction is stored, when the computer instruction makes the sensor that the above-mentioned each method embodiment of the computer execution is provided Sequence date storage method, such as including:
When obtaining the gathered data of sensor, while obtain the attribute information of the sensor and retouching for the gathered data State information;
Using the attribute information as the first store path byte, using the description information as the second store path word Section;The first store path byte and the second store path combination of bytes are formed into a data store path, by institute Acquired data storage is stated into the data storage path.
One of ordinary skill in the art will appreciate that:Realizing all or part of step of above method embodiment can pass through The relevant hardware of programmed instruction is completed, and foregoing program can be stored in a computer read/write memory medium, the program Upon execution, the step of execution includes above method embodiment;And foregoing storage medium includes:ROM, RAM, magnetic disc or light Disk etc. is various can be with the medium of store program codes.
In conclusion the present invention proposes a kind of the sensor time series data storage method and system of hierarchical structure, pass through by The attribute information of time series data arranges in sequence, and the description information for combining time series data forms data storage path, introduces Asterisk wildcard matched mode strengthens semanteme so that it is multiple that it can express the complete trails of description sensor exclusive path, description The prefix path of sensor and the band star road footpath of the multiple levels combinations of description, can attribute that sensor is covered is clear, Intactly express, can clearly demonstrate that the level association between attribute information.
The embodiments such as the test equipment of display device described above are only schematical, wherein described as separation The unit of part description may or may not be it is physically separate, can be as the component that unit is shown or It can not be physical location, you can with positioned at a place, or can also be distributed in multiple network unit.Can be according to reality Border needs to select some or all of module therein to realize the purpose of this embodiment scheme.Those of ordinary skill in the art In the case where not paying performing creative labour, 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.Based on such understanding, on The part that technical solution substantially in other words contributes to the prior art is stated to embody in the form of software product, should Computer software product can store in a computer-readable storage medium, such as ROM/RAM, magnetic disc, CD, including some fingers Order is used so that a computer equipment (can be personal computer, server, or network equipment etc.) performs each implementation Method described in some parts of example or embodiment.
Finally, method of the invention is only preferable embodiment, is not intended to limit the scope of the present invention.It is all Within the spirit and principles in the present invention, any modification, equivalent replacement, improvement and so on, should be included in the protection of the present invention Within the scope of.

Claims (8)

  1. A kind of 1. sensor time series data storage method, it is characterised in that including:
    When obtaining the gathered data of sensor, while obtain the attribute information of the sensor and the description letter of the gathered data Breath;
    Using the attribute information as the first store path byte, using the description information as the second store path byte;Will The first store path byte and the second store path combination of bytes form a data store path, by the collection Data are stored into the data storage path.
  2. 2. sensor time series data storage method according to claim 1, it is characterised in that the attribute information includes passing Sensor identity property information, the sensor identification attribute information are used for the affiliated information for recording the sensor.
  3. 3. sensor time series data storage method according to claim 2, it is characterised in that using the attribute information as First store path byte, using the description information of the sensing data as the second store path byte, specifically includes:
    Sequence is split as a [1], a [2] by the attribute information according to affiliated entity information ..., a [k];By a [1] .a [2] ... .a [k] is used as the first store path byte;
    The description information of gathered data is obtained, the description information is split as a [k+1], a [k+ according to entity name information 2],…,a[n];Using a [k+1] .a [k+2] ... .a [n] as the second store path byte.
  4. 4. sensor time series data storage method according to claim 3, it is characterised in that by first store path Byte and the second store path combination of bytes form a data store path, specifically include:
    Start byte by path of keyword ROOT, the first store path byte and the first store path combination of bytes obtain Data storage path ROOT.a [1] .a [2] .a [3] ... .a [k] ... .a [n];Wherein, a [k+1] ... .a [n] are represented corresponding Sensor, a [1] .a [2] .a [3] ... .a [k] represent the affiliated information of the sensor.
  5. 5. sensor time series data storage method according to claim 1, it is characterised in that further include:
    Asterisk wildcard, the replaceable first and second store path word of the asterisk wildcard are set in the data storage path The content of optional position in section, the value for representing the asterisk wildcard position attribution are arbitrary value.
  6. 6. a kind of sensor time series data storage system, it is characterised in that including data acquisition module and path-generating module;
    When obtaining the gathered data of sensor, while obtain the attribute information of the sensor and the description letter of the gathered data Breath;
    Using the attribute information as the first store path byte, using the description information as the second store path byte;Will The first store path byte and the second store path combination of bytes form a data store path, by the collection Data are stored into the data storage path.
  7. A kind of 7. sensor time series data storage device, it is characterised in that including:
    At least one processor;And
    At least one processor being connected with the processor communication, wherein:
    The memory storage has the programmed instruction that can be performed by the processor, and the processor calls described program instruction energy Enough perform the method as described in claim 1 to 5 is any.
  8. 8. a kind of computer program product, it is characterised in that the computer program product includes being stored in non-transient computer Computer program on readable storage medium storing program for executing, the computer program include programmed instruction, when described program is instructed by computer During execution, the computer is set to perform the method as described in claim 1 to 5 is any.
CN201711319768.5A 2017-12-12 2017-12-12 The sensor time series data storage method and system of a kind of hierarchical structure Pending CN108038199A (en)

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