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CN105912621A - Area building energy consumption platform data storing and query method - Google Patents

Area building energy consumption platform data storing and query method Download PDF

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Publication number
CN105912621A
CN105912621A CN201610213019.3A CN201610213019A CN105912621A CN 105912621 A CN105912621 A CN 105912621A CN 201610213019 A CN201610213019 A CN 201610213019A CN 105912621 A CN105912621 A CN 105912621A
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Prior art keywords
data
energy consumption
building
building energy
directive
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Inventor
王兴荣
曹文龙
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Shanghai Siic-Longchuang Smarter Energy Technology Co Ltd
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Shanghai Siic-Longchuang Smarter Energy Technology Co Ltd
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Priority to CN201610213019.3A priority Critical patent/CN105912621A/en
Publication of CN105912621A publication Critical patent/CN105912621A/en
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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
    • G06F16/22Indexing; Data structures therefor; Storage structures
    • G06F16/2291User-Defined Types; Storage management thereof
    • 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
    • G06F16/21Design, administration or maintenance of databases
    • G06F16/217Database tuning
    • 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
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00Energy efficient computing, e.g. low power processors, power management or thermal management

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

Abstract

The invention relates to an area building energy consumption platform data storing and query method which are used for uniformly storing and querying energy consumption data of a plurality of buildings. The method includes a data storage process and a data query process. The data storage process includes: starting up a monitoring thread for each building respectively; reading building energy consumption data in a data message queue through the monitoring threads, wherein the building energy consumption data includes building ownership and data uploading time, the monitoring threads write the building energy consumption data in a database file corresponding to a duration of the building ownership and data uploading time. The data query process includes: accessing and reading the corresponding database file according to the building ownership and the data uploading time in a query request, and then acquiring desired energy consumption data. Compared with the prior art, the method is high in utilization of hardware resources, is fast in initialization speed, is high in platform operation efficiency, and facilitates expansion of a building energy consumption platform.

Description

The building energy consumption platform data storage of a kind of region and querying method
Technical field
The present invention relates to a kind of data storage and query method, especially relate to a kind of region building energy consumption platform number According to storage and querying method.
Background technology
In the building energy consumption monitoring platform of region, the storage of building energy consumption and access are one of important technology. Owing to being the application of platform class, the building energy consumption data summarization of up to a hundred the most thousands of to platform, data volume is one After section year number, the accumulation of data is the most surprising.Traditional way is to come with the relevant database of business Realize storage and the access of big data quantity, such as sql server and oracle database cluster, substantially can meet The application demand of certain scale, but the storage of system platform extension cost is the highest, safeguards the most considerably complicated, no The platform application that applicable platform scale is expanded rapidly, the most currently a popular big data platform, such as hadoop, Can meet the storage of big data, carrying cost is the highest, but is not suitable for online real-time query data, personnel's element of maintenance Matter requires height;The mini-relational type database also having some free softwares can not meet the storage of big data equally, efficiently The Platform Requirements accessed.
The characteristic of building energy consumption monitoring platform is, all of energy consumption data is all to be uploaded up by energy consumption collector, Data content is single, but data volume is big, in order to improve the inquiry velocity on foreground, it is necessary to uploading energy consumption data Carry out collecting and statistical disposition, and generate corresponding energy consumption combined data.Due to this platform be one towards O&M people The system of member, system foreground visit capacity is relatively fewer, and it is little that foreground web system accesses pressure, so need not examine Consider high concurrent problem, as long as considering that single second level accesses.
Summary of the invention
Defect that the purpose of the present invention is contemplated to overcome above-mentioned prior art to exist and a kind of reading and writing data speed is provided Spend fast, data backup and region building energy consumption platform data storage easy to maintenance and querying method.
The purpose of the present invention can be achieved through the following technical solutions:
The building energy consumption platform data storage of a kind of region and querying method, for carrying out the energy consumption data of many buildings Unified storage and inquiry, it is characterised in that the method includes data storage procedure and data query process, described Data storage procedure is respectively started a watcher thread for each building, reads data-message by watcher thread Building energy consumption data in queue, described building energy consumption data include building ownership and data uplink time, monitor The write of building energy consumption data is built with it and is belonged to and database that the data uplink time place time period is corresponding by thread File, described data query process belongs to and data uplink time for the building in inquiry request, accesses and read Take the database file of correspondence, thus obtain the energy consumption data of needs.
Described data storage procedure is realized by following steps:
S11, is respectively started a watcher thread for each building;
S12, watcher thread accesses data-message queue, if there being building energy consumption data in queue, enters step S13, Otherwise after the waiting time set, return this step starting point;
S13, watcher thread reads building energy consumption data and resolves it, obtains building ownership and data are uploaded Time, it is judged that whether data uplink time is integral point or point on the same day 24, the most then enter step S17, otherwise Enter step S14;
S14, watcher thread is by the write of building energy consumption data and described building ownership and data uplink time place time The instantaneous instrument energy consumption data library file that section is corresponding;
S15, building energy consumption data are changed into instantaneous energy consumption directive/guide data according to energy consumption directive/guide by watcher thread;
S16, watcher thread is by the write of instantaneous energy consumption directive/guide data and described building ownership and data uplink time place The instantaneous energy consumption directive/guide database file that time period is corresponding, and return step S12;
S17, watcher thread calculates hour accumulative power consumption values or the accumulative power consumption values on the same day of integral point, and write with Corresponding with data uplink time hour of described building ownership or day instrument energy consumption data library file;
S18, building energy consumption data are changed into hour or day energy consumption directive/guide data by watcher thread according to energy consumption directive/guide;
S19, watcher thread will hour or the write of day energy consumption directive/guide data and described building ownership and data uplink time Corresponding hour or day energy consumption directive/guide database file, and return step S12.
In described step S14, S16, S17 and S19, if corresponding data library file does not exists, then listening-in line After journey dynamically generates corresponding data library file, then write data into corresponding data library file.
In described step S12, described waiting time and building energy consumption data are uploaded to data-message queue Minimum period is identical.
In described step S13, described data uplink time is accurate to 1 minute.
The described data uplink time place time period judges according to the numerical value of hour unit.
Described data query process is realized by following steps:
S21, inquiring client terminal submits inquiry request to query processing engine;
S22, it is resolved after receiving inquiry request, obtains querying condition by query processing engine, including building Ownership, data type and the time period of data cover;
S23, accesses at least one database file meeting querying condition, and therefrom reads data to be inquired about;
The data inquired are sent to inquiring client terminal by S24, if data are multiple, then and advanced row data splicing.
Described building ownership refers to numbering or the coding of building, described data type be instantaneous instrument energy consumption data, Instantaneous energy consumption directive/guide data, hour or day instrument energy consumption data hour or day energy consumption directive/guide data in one.
Described data storage procedure and data query process are respectively by data storage engines and data query engine Realizing, described data storage engines and data query engine are separate.
Described database file is stored in independent of on the memory of platform.
Compared with prior art, the invention have the advantages that
(1) building energy consumption data include building ownership and data uplink time, return with building in order to write data into Belong to the database file corresponding with the data uplink time place time period, reduce the size of each file, be greatly improved The write of data and reading speed;It is respectively started a watcher thread for each building, improves platform and run Efficiency, it is simple to the extension of building energy consumption platform.
(2) building energy consumption data are divided into four classes, the most instantaneous instrument energy consumption data, instantaneous energy consumption directive/guide number According to, hour or day instrument energy consumption data hour or day energy consumption directive/guide data, data write before just sort out Or convert, the interval between Appropriate application two secondary data uplink time, improve the hardware resource utilization efficiency of platform.
(3) if data write, corresponding data library file does not exists, then watcher thread dynamically generates corresponding data After library file, then write data into corresponding data library file, improve platform initialization speed.
(4) access waiting time and the building energy consumption data of data-message queue and be uploaded to data-message queue Minor cycle is identical, i.e. the cycle with energy consumption data acquisition adapts, it is to avoid unnecessary data access.
(5) data storage procedure and data query process are respectively by separate data storage engines and data Query engine realizes, it is simple to the development of developer.
(6) database file is independently present in outside platform, data query engine on platform, the backup of data Very convenient with safeguarding, only need to copy and recover corresponding file and just can reach backup and recover the demand of data.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of data storage procedure in the inventive method;
Fig. 2 is the schematic flow sheet of data query process in the inventive method.
Detailed description of the invention
The present invention is described in detail with specific embodiment below in conjunction with the accompanying drawings.The present embodiment is with the technology of the present invention side Implement premised on case, give detailed embodiment and concrete operating process, but the protection model of the present invention Enclose and be not limited to following embodiment.
Embodiment
The building energy consumption platform data storage of a kind of region and querying method, for carrying out the energy consumption data of many buildings Unified storage and inquiry, the method includes data storage procedure and data query process, and data storage procedure is for often One building is respectively started a watcher thread, reads the building energy consumption number in data-message queue by watcher thread Include building ownership and data uplink time according to, building energy consumption data, watcher thread by the write of building energy consumption data with The database file that its building ownership is corresponding with the data uplink time place time period, data query process is for inquiry Building ownership in request and data uplink time, access and read the database file of correspondence, thus obtain needs Energy consumption data.
As it is shown in figure 1, data storage procedure is realized by following steps:
S11, is respectively started a watcher thread for each building;
S12, watcher thread accesses data-message queue, if there being building energy consumption data in queue, enters step S13, Otherwise after the waiting time set, return this step starting point;Waiting time and building energy consumption data are uploaded to data The minimum period of message queue is identical, is spaced substantially at 1 minute to 5 minute because data are uploaded, thus pending Message queue if sky, default waiting one minute, it is possible to by parameter be arranged to other times be spaced;
S13, watcher thread reads building energy consumption data and resolves it, obtains building ownership and data are uploaded Time, it is judged that whether data uplink time is integral point or point on the same day 24, the most then enter step S17, otherwise Enter step S14;Data uplink time is accurate to 1 minute, when i.e. data uplink time judges, single according to minute The numerical value of position judges, meets the required precision of energy consumption analysis, it is to avoid too much calculate.
S14, watcher thread is by the write of building energy consumption data and building ownership and data uplink time place time period pair The instantaneous instrument energy consumption data library file answered;The data uplink time place time period enters according to the numerical value of its hour unit Row judges, such as;
S15, building energy consumption data are changed into instantaneous energy consumption directive/guide data according to energy consumption directive/guide by watcher thread;
S16, watcher thread is by the write of instantaneous energy consumption directive/guide data and building ownership and data uplink time place time The instantaneous energy consumption directive/guide database file that section is corresponding, and return step S12;
S17, watcher thread calculates hour accumulative power consumption values or the accumulative power consumption values on the same day of integral point, and write with Corresponding with data uplink time hour of described building ownership or day instrument energy consumption data library file;Accumulative for hour The calculating of power consumption values, can first inquire about the data in existing instantaneous instrument energy consumption data library file, required for reading Data;For the calculating of the accumulative power consumption values on the same day, can first inquire about answered hour or day instrument energy consumption data storehouse File, hour accumulative power consumption values data required for reading, carry out accumulation calculating;
S18, building energy consumption data are changed into hour or day energy consumption directive/guide data by watcher thread according to energy consumption directive/guide;
S19, watcher thread general hour or day energy consumption directive/guide data write are corresponding with building ownership and data uplink time Hour or day energy consumption directive/guide database file, and return step S12.
In step S14, S16, S17 and S19, if corresponding data library file does not exists, then watcher thread is dynamic After generating corresponding data library file, then write data into corresponding data library file, reduce work during platform initialization Amount.
In data storage procedure, watcher thread upper limit number can pass through parameter configuration, according to the performance of machine, especially It is the read or write speed of hard disk, did not the most grasp 500, after exceeding, one can increased by increasing server Data storage engines, carrys out equilibrium treatment load;To the access before the write operation of each database file, use route Accessing, route accesses and is applicable to the platform network that autgmentability is strong;Building energy consumption data are transferred to by energy consumption monitoring instrument In data-message queue, mode, for being wirelessly transferred or wire transmission, is preferably convenient for the wireless biography of platform extension Defeated.
As in figure 2 it is shown, data query process is realized by following steps:
S21, inquiring client terminal submits inquiry request to query processing engine;Inquiring client terminal can be mobile phone, computer Deng electronic equipment;
S22, it is resolved after receiving inquiry request, obtains querying condition by query processing engine, including building Ownership, data type and the time period of data cover;
S23, accesses at least one database file meeting querying condition, and therefrom reads data to be inquired about;
The data inquired are sent to inquiring client terminal by S24, if data are multiple, then and advanced row data splicing Merge, be then forwarded to inquiring client terminal.
Building ownership refers to numbering or the coding of building, and data type is instantaneous instrument energy consumption data, instantaneous energy consumption directive/guide Data, hour or day instrument energy consumption data hour or day energy consumption directive/guide data in one.
Data storage procedure and data query process are respectively by data storage engines and data query engine implementation, number Separate according to storage engines and data query engine;Database file is stored in independent of on the memory of platform, By the interface of REST, data can be read very easily, and the operation of all complexity has all been encapsulated into data and has looked into Ask in engine, facilitate the development of developer.
This platform is the highest to machine configuration requirement, and the disk of 1T can store 200 buildings partial data of 10 years, It is greatly saved the input of hardware.

Claims (9)

1. the storage of region building energy consumption platform data and a querying method, for the energy consumption data to many buildings Carry out unifying storage and inquiry, it is characterised in that the method includes data storage procedure and data query process, institute The data storage procedure stated is respectively started a watcher thread for each building, reads data by watcher thread Building energy consumption data in message queue, described building energy consumption data include building ownership and data uplink time, The write of building energy consumption data is built with it and is belonged to and number that the data uplink time place time period is corresponding by watcher thread According to library file, described data query process belongs to and data uplink time for the building in inquiry request, accesses And read corresponding database file, thus obtain the energy consumption data of needs.
A kind of region the most according to claim 1 building energy consumption platform data storage and querying method, it is special Levying and be, described data storage procedure is realized by following steps:
S11, is respectively started a watcher thread for each building;
S12, watcher thread accesses data-message queue, if there being building energy consumption data in queue, enters step S13, Otherwise after the waiting time set, return this step starting point;
S13, watcher thread reads building energy consumption data and resolves it, obtains building ownership and data are uploaded Time, it is judged that whether data uplink time is integral point or point on the same day 24, the most then enter step S17, otherwise Enter step S14;
S14, watcher thread is by the write of building energy consumption data and described building ownership and data uplink time place time The instantaneous instrument energy consumption data library file that section is corresponding;
S15, building energy consumption data are changed into instantaneous energy consumption directive/guide data according to energy consumption directive/guide by watcher thread;
S16, watcher thread is by the write of instantaneous energy consumption directive/guide data and described building ownership and data uplink time place The instantaneous energy consumption directive/guide database file that time period is corresponding, and return step S12;
S17, watcher thread calculates hour accumulative power consumption values or the accumulative power consumption values on the same day of integral point, and write with Corresponding with data uplink time hour of described building ownership or day instrument energy consumption data library file;
S18, building energy consumption data are changed into hour or day energy consumption directive/guide data by watcher thread according to energy consumption directive/guide;
S19, watcher thread will hour or the write of day energy consumption directive/guide data and described building ownership and data uplink time Corresponding hour or day energy consumption directive/guide database file, and return step S12.
A kind of region the most according to claim 2 building energy consumption platform data storage and querying method, it is special Levy and be, in described step S14, S16, S17 and S19, if corresponding data library file does not exists, then supervise After listening thread dynamically to generate corresponding data library file, then write data into corresponding data library file.
A kind of region the most according to claim 2 building energy consumption platform data storage and querying method, it is special Levying and be, in described step S12, described waiting time and building energy consumption data are uploaded to data-message team The minimum period of row is identical.
A kind of region the most according to claim 2 building energy consumption platform data storage and querying method, it is special Levying and be, in described step S13, described data uplink time is accurate to 1 minute.
A kind of region the most according to claim 1 and 2 building energy consumption platform data storage and querying method, It is characterized in that, the described data uplink time place time period judges according to the numerical value of hour unit.
A kind of region the most according to claim 2 building energy consumption platform data storage and querying method, it is special Levying and be, described data query process is realized by following steps:
S21, inquiring client terminal submits inquiry request to query processing engine;
S22, it is resolved after receiving inquiry request, obtains querying condition by query processing engine, including building Ownership, data type and the time period of data cover;
S23, accesses at least one database file meeting querying condition, and therefrom reads data to be inquired about;
The data inquired are sent to inquiring client terminal by S24.
A kind of region the most according to claim 7 building energy consumption platform data storage and querying method, it is special Levying and be, described building ownership refers to numbering or the coding of building, and described data type is instantaneous instrument energy consumption number According to, instantaneous energy consumption directive/guide data, hour or day instrument energy consumption data hour or day energy consumption directive/guide data in one.
A kind of region the most according to claim 1 building energy consumption platform data storage and querying method, it is special Levying and be, described data storage procedure and data query process are drawn by data storage engines and data query respectively Holding up realization, described data storage engines and data query engine are separate.
CN201610213019.3A 2016-04-07 2016-04-07 Area building energy consumption platform data storing and query method Pending CN105912621A (en)

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Application publication date: 20160831