CN107065800B - Industrial signal data access method based on fixed length block - Google Patents

Industrial signal data access method based on fixed length block Download PDF

Info

Publication number
CN107065800B
CN107065800B CN201710285624.6A CN201710285624A CN107065800B CN 107065800 B CN107065800 B CN 107065800B CN 201710285624 A CN201710285624 A CN 201710285624A CN 107065800 B CN107065800 B CN 107065800B
Authority
CN
China
Prior art keywords
data
measuring point
server
sig
block
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.)
Active
Application number
CN201710285624.6A
Other languages
Chinese (zh)
Other versions
CN107065800A (en
Inventor
范寅
刘胜军
李晓洁
孟虎
孙浪
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
HEFEI CITY CLOUD DATA CENTER Co Ltd
Original Assignee
HEFEI CITY CLOUD DATA CENTER Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by HEFEI CITY CLOUD DATA CENTER Co Ltd filed Critical HEFEI CITY CLOUD DATA CENTER Co Ltd
Priority to CN201710285624.6A priority Critical patent/CN107065800B/en
Publication of CN107065800A publication Critical patent/CN107065800A/en
Application granted granted Critical
Publication of CN107065800B publication Critical patent/CN107065800B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • 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
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Landscapes

  • Computer And Data Communications (AREA)
  • Engineering & Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Manufacturing & Machinery (AREA)
  • Quality & Reliability (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The present invention relates to the industrial signal data access method based on fixed length block, solves the low defect for causing data to extract the wasting of resources of data user rate that industrial signal source is extracted compared with prior art.The present invention is the following steps are included: building inner server cluster;Measuring point is encoded on inner server;Receive data transmitted by data high-speed bus;The reception and processing of inner server data;Request server or client read data.Present invention reduces the calculated load of server retrieval data, the technology key data for meeting client show in real time and the real-time of industrial curve report shows requirement.

Description

Industrial signal data access method based on fixed length block
Technical field
The present invention relates to industrial data access technique fields, specifically the industrial signal data based on fixed length block Access method.
Background technique
It is perfect with the business such as Internet of Things, cloud computing, big data and technology, and national 2025 strategy of made in China pushes away Dynamic, industrial data center is collected and is stored, Distribution Center as industrial data, will play irreplaceable role.In work In the everyday scenes of industry application, need industrial data center that can efficiently collect discrete industrial measuring point data signal, and Data can be retrieved, efficiently to meet the requirement of industry spot Real-time process data exhibiting and real-time curve report.And it is Meet the high speed access of industrial implementation signal, it is using efficient data buffer storage administrative skill essential.
In industrial circle, there are many storage of live signal and retrieval scheme, and wherein typical scenario is typically via reality When database especially RTDB in Industry Control come realize measuring point data cache.There is real-time data base high healthy and strong, height to handle up, thing Be engaged in the features such as safe, but since it is expensive, be often used in MES, MRP system of large enterprise, for data center this Its cost is unacceptable for the demand that sample is provided infrastructures for conglomerate and is not necessarily to.
Also there are many technical solutions to use and distributed memory data queue is built to solve work based on Memchched, Redis etc. Industry data buffer storage problem, it is inadequate for carrying out storing data only with K-Value mode, it is still necessary to build distributed data cache shelf Structure simultaneously builds corresponding data structure according to business actual needs and defines access strategy.Need it is to be noted that The distributed variable-frequencypump frame Spark memory-based of UCBerkeley and the Storm based on MapReduce are provided which Data processing mechanism based on stream process solves the real-time computational problem of big data, but slow as simple data It rushes and improper.
Memory computing technique in research field, big data Technology Chain is gradually paid close attention to by people in recent years, country in 2015 " the memory key technology towards big data " is classified as the important content of information technology field by 863 Program.But domestic scientific research The scientific achievement of mechanism relatively emphasizes learning value, and there are certain difficulties for achievements conversion.With the manufacture of computer hardware equipment The promotion of technology and super integration technology it is universal, using super integration technology framework or inexpensive vast capacity memory service Device can bring new solution for the industrial data caching at industrial data center.
For the angle at industrial data center, industrial data center generally requires to converge a large amount of signal data.Assuming that One group of industrial website of server access more than 1000, each industry website need to monitor 1000 signal measuring points, and each measuring point needs 2000 datas of retrieval are saved in real time, then server needs to provide preservation and retrieval service for nearly 200,000,000 records.Even if these Data all use memory to save, and if not being considered as suitable Data Structure and Algorithm, then it is huge to calculate pressure for server retrieval Greatly, can not summary responses and processing high frequency time request of data.From construction cost angle, data center also should not be only Meet data buffering to need and use expensive very large memory server.
From the point of view of the practical application that industry remotely monitors, long-range monitoring generally requires consideration observation process node key index Data, and the real-time curve of a certain key index time zone of observation.And the instant computing of live signal and in real time letter Number backtracking often industrial environment scene and local information center processing.Therefore be analyzed as follows: long-range monitoring is to technique It when node monitors, needs to observe measuring point latest data referring to process structure figure, this is that it is only necessary to servers sends to client The measuring point single latest data;And when observing measuring point real-time curve, it is limited to display device resolution size, clothes Being engaged in, it is only necessary to the measuring point data of regular length is sent to client for device.
Therefore, the mass data extracted in traditional technology is practical to be used in the then considerably less of client, causes data The wasting of resources of extraction process.How using long-range this data extraction property monitored in practical applications of industry, work is reduced The extracted amount of industry source point data designs a kind of industrial signal data access method and has become technical problem urgently to be solved.
Summary of the invention
Data are caused the purpose of the present invention is to solve the data user rate that industrial signal source is extracted in the prior art is low The defect for extracting the wasting of resources provides a kind of industrial signal data access method based on fixed length block to solve above-mentioned ask Topic.
To achieve the goals above, technical scheme is as follows:
A kind of industrial signal data access method based on fixed length block, comprising the following steps:
Inner server cluster is constructed, needs to set data block length according to the generation of measuring point real-time curve, memory is taken Business device carries out memory configurations, and establishes inner server informational table of nodes;
Measuring point is encoded on inner server, the measuring point stored respectively to it on every inner server carries out Encode and establish the Memory Allocation structure of inner server;
Data transmitted by data high-speed bus are received, data are written scheduler and receive number transmitted by data high-speed bus According to, and data are stored in inner server;
The reception and processing of inner server data, inner server receive the data of data write-in scheduler dispatches, and It is handled, updates corresponding data block;
Request server or client read data, and client reads corresponding data, with generate measuring point real-time curve or Show Real-time process data.
The building inner server cluster the following steps are included:
The demand that measuring point real-time curve is generated according to client, set data block length as 128,256,512,1024 or 2048;
Mark sig_id is established to measuring point, mark is numbered from 0;
Calculate every inner server memory size, according to data block length distribute every inner server corresponding to survey Points, and corresponding measuring point is assigned to every inner server;
Inner server informational table of nodes is established, establishes array sig_id_ in memory server node information table Array, array index sig_id, array sig_id_array store signal name and measuring point identity map, and signal name is The corresponding measuring point of sig_name, sig_name is identified as sig_id;
It establishes and saves the corresponding inner server information server_element of measuring point data access, inner server information Server_element structure is as follows:
{min_sig_id,max_sig_id,server_id,server_address},
Wherein: min_sig_id is the minimum measuring point number of inner server storage, and max_sig_id is memory clothes The maximum measuring point number of business device storage, serve_id are inner server number, and server_address is inner server visit Ask address;
Several server_element form inner server measuring point allocation table sig_server_list;
Inner server measuring point allocation table sig_server_list is saved in memory server node information table.
It is described measuring point is encoded on inner server the following steps are included:
Configuration indexes in each inner server, and it includes single measuring point datas to index mono_ind_array, number Block_ind_array is indexed according to block;
Single measuring point data index mono_ind_array be address one-dimension array, array index id since 0, wherein The corresponding relationship of subscript id and sig_id is
Id=sig_id-min_sig_id;
Data block index block_ind_array be two-dimensional array, wherein each element structure be pos, length, address},
Pos is used to indicate current newest measuring point data storage position, and length is used to indicate entire data block length, Address is used to indicate data block memory first address;
Queue is configured in each inner server, it includes the queue of single measuring point data and measuring point data block queue, Wherein the queue of single measuring point data is used for for storing the last received measuring point data, measuring point data block queue according to client End requires to store the measuring point data in nearest a period of time, and the data block length fixed size of setting is pressed in the distribution of measuring point data block, It is stored using independent memory headroom;
All inner server data are initialized, corresponding memory address is filled to measuring point index, successively to The first address for the memory address that mono_ind_array, block_ind_array filling distribute.
Data transmitted by the reception data high-speed bus the following steps are included:
Data be written scheduler from high speed data bus receive data, data mode be sig_name, timestamp, Value }, sig_name is the hashed value of signal name, and timestamp is time tag, and value is measuring point signal value measuring point letter Number numerical value got;
Data are written scheduler and use binary chop, and sig_name is searched from sig_id_array, obtains sig_ The array index of name is sig_id;Sig_server_list, which is retrieved, according to sig_id finds inner server address;
Data write-in scheduler sends the data to the inner server found.
The receptions of the inner server data and processing the following steps are included:
Inner server receives data, is saved in single measuring point data;
It calculates and is designated as i_cursor=sig_id-min_sig_id under single measuring point data index and obtains measuring point to take currently The single-point index position of business device;The memory that measuring point data is stored is obtained at index mono_ind_array [i_cursor] Data are written in this address in location;
Inner server receives data, saves data to measuring point data block, steps are as follows:
Calculate i_cursor=sig_id-min_sig_id;Measuring point is obtained to index in the measuring point data block of current server Position;
Measuring point data storage data block first address block_ is obtained from block_ind_array [i_cursor] Address, and obtain the current measuring point data storage position pos of data block, data block length len;
Calculate pos=pos mod len;In block_address [pos] storage measuring point signal data record;Current Position covers newest measuring point signal data;
Block_ind_array [i_cursor] current location pos is updated to pos+1mod len.
The request server or client read data packet includes following steps:
Client transmit a request to data access scheduler, request comprising sig_name and request data be single also It is data block,
According to the signal name sig_name of request, measuring point mark sig_id is found from sig_id_array;It checks Sig_server_list searches corresponding inner server, transmits the request to corresponding inner server;
If request is reads single measuring point data, inner server is from mono_ind_array [sig_id-min_sig_ Id] at directly read data record and place extra buffer;
If request is signal real-time curve, inner server is from block_address=
Data block full content is directly read at block_ind_array [sig_id-min_sig_id] places interim delay Rush area;
Data block contents are arranged in extra buffer, steps are as follows:
The data of block_address [0..pos-1] and block_address [pos..len-1] data content are handed over Extra buffer is put into after changing;
Encoder according to request server or client requirements by extra buffer data encoding at XML format or JSON format, places output queue, and output queue is output to request server or client using FIFO mode.
Beneficial effect
Industrial signal data access method based on fixed length block of the invention, it is remote using industry compared with prior art The data characteristic of range monitoring uses the queue of single measuring point and data block queue storing data, and improves memory using indexed mode Retrieval rate of the server to industrial signal.The present invention is all taken out the measuring point data of certain time sequence using indexed mode And send, to reduce service retrieval load, to reduce the calculated load of server retrieval data, meet the work of client Skill critical data shows in real time and the real-time of industrial curve report shows requirement.
Detailed description of the invention
Fig. 1 is method precedence diagram of the invention;
Fig. 2 is the memory allocation map of inner server in the present invention;
Fig. 3 is that industrial signal data access connects block diagram in the prior art.
Specific embodiment
The effect of to make to structure feature of the invention and being reached, has a better understanding and awareness, to preferable Examples and drawings cooperation detailed description, is described as follows:
As shown in figure 3, high speed data bus is used for memory in the industrial signal data access connection relationship of the prior art Real-time measuring point data is written in server group, can use ZMQ, RabbitMQ, ZeroMQ, JMS, MSMQ, ActiveMQ, Jafka/ Any one in Kafka is realized.
Inner server informational table of nodes is for saving inner server measuring point allocation table sig_server_list and array sig_id_array。
Data are written scheduler and read measuring point signal data from high speed data bus, and inner server is selected to save data.
Inner server is for storing and retrieve data, and Memory Allocation graph structure is as shown in Fig. 2, wherein single measuring point Data directory saves measuring point data block first address and data for storing every measuring point data address, measuring point data block index Block length, when presubscript information.Single measuring point data queue saves each measuring point data record, and measuring point data record format is { sig_name, time_stamp, value }.Measuring point data block saves the measuring point data record in certain time sequence, measuring point number It is regular length according to block.
Data access scheduler receives request server or client data request, selects the existing service of measuring point signal Device.What it is such as request is single technique measuring point signal data, then takes out single measuring point data record from correspondence memory server.Such as ask What is asked is one section of real-time curve data, then all data records of entire data block are taken out from correspondence memory server, collated After provide.
The data that encoder takes out data access scheduling device are encoded by request server or client requirements.
Output caching waits request server or client to consume number for the measuring point data record after storing coding According to.
As shown in Figure 1, the industrial signal data access method of the present invention based on fixed length block, including following step It is rapid:
The first step constructs inner server cluster.Need to set data block length according to the generation of measuring point real-time curve, it is right Inner server carries out memory configurations, and establishes inner server informational table of nodes.Here, to reduce the time-consuming of data query, Corresponding inner server is distributed for each industrial data node, and corresponding index is established to inner server.Carry out When industrial node data is inquired, without inquiring traditional database or accessing industrial node, corresponding internal storage data need to be only accessed Library.The specific steps of which are as follows:
(1) demand that measuring point real-time curve is generated according to client, sets data block length as 128,256,512,1024 Or 2048, data block length is as unit of data bit.
(2) mark sig_id is established to measuring point (industrial signal node), mark is numbered from 0.
(3) calculate every inner server memory size, distribute every inner server according to data block length corresponding to Measuring point number, and corresponding measuring point is assigned to every inner server.Such as: it amounts to and is equipped with 4 inner servers, in every It deposits server and can provide 32G memory for storing data block, if measuring point data block length is 1K, then every server can divide It is 32M with measuring point number.
(4) inner server informational table of nodes is established.Array sig_id_ is established in memory server node information table Array, array are designated as sig_id under being, array sig_id_array stores signal name and measuring point identity map, signal name For sig_name, the corresponding measuring point of sig_name is identified as sig_id.To use hash-coding convenient for quick-searching sig_name.
(5) it establishes and saves the corresponding inner server information server_element of measuring point data access, inner server Information server_element structure is as follows:
{min_sig_id,max_sig_id,server_id,server_address},
Wherein: min_sig_id is the minimum measuring point number of inner server storage, and max_sig_id is memory clothes The maximum measuring point number of business device storage, serve_id are inner server number, and server_address is inner server visit Ask address.
Several server_element form inner server measuring point allocation table sig_server_list.
(6) inner server measuring point allocation table sig_server_list is saved in memory server node information table.
Second step encodes measuring point on inner server.It is stored respectively on every inner server Measuring point is encoded and establishes the Memory Allocation structure of inner server.During for access inner server, also simultaneously It is unconventional to be searched for inner server, but take and directly transfer (non-lookup) from corresponding inner server Method.For in actual use, needing the data for observing measuring point latest data referring to process structure figure to transfer mode, only need to read Single measuring point data queue, and in single measuring point data queue it is the number for the single-point (a certain industry signal source) constantly updated According to, then be equipped with single measuring point data index and positioned;And when need to generate measuring point real-time curve, then it needs to read measuring point data block team Column, saving in measuring point data block queue is data in single-point (a certain industry signal source) data block length, then is equipped with data Block index is positioned, to reduce calculating and the response time of system, improves operational efficiency.The specific steps of which are as follows:
(1) in each inner server configuration index, it includes single measuring point data index mono_ind_array, Data block indexes block_ind_array, and single measuring point data index mono_ind_array is the one-dimension array of an address. Array index id is since 0.The wherein corresponding relationship of subscript id and sig_id are as follows: id=sig_id-min_sig_id;Data block Indexing block_ind_array is a two-dimensional array, wherein each element structure is { pos, length, address }, pos It is used to indicate current newest measuring point data storage position, length is used to indicate entire data block length, and address is for referring to Show data block memory first address.
Queue is configured in each inner server, it includes the queue of single measuring point data and measuring point data block queue, Wherein the queue of single measuring point data is used for for storing the last received measuring point data, measuring point data block queue according to client End requires to store the measuring point data in nearest a period of time, and the data block length fixed size of setting is pressed in the distribution of measuring point data block, It is stored using independent memory headroom.
(2) all inner server data are initialized, corresponding memory address is filled to measuring point index.Specifically Successively to the first address of mono_ind_array, block_ind_array the filling memory address distributed.
Third step receives data transmitted by data high-speed bus.Data are written scheduler and receive data high-speed bus institute The data of transmission, and data are stored in inner server.The specific steps of which are as follows:
(1) data be written scheduler from high speed data bus receive data, data mode be sig_name, Timestamp, value }, in which: sig_name is the hashed value of signal name, and timestamp is time tag, and value is The numerical value that measuring point signal value measuring point signal is got.
(2) data write-in scheduler uses binary chop, sig_name is searched from sig_id_array, by the first step (4) it is found that the array index of corresponding sig_name is sig_id;It is found according to sig_id retrieval sig_server_list interior Deposit server address.
(3) data write-in scheduler sends the data to the inner server found.
It can thus be seen that the present invention is that the lookup of inner server is carried out in data write-in scheduler, i.e., it is traditional Industrial signal big data source lookup, become herein carry out inner server lookup, find out required memory service Device address greatly reduces data search amount.
4th step, the reception and processing of inner server data.Inner server receives data write-in scheduler dispatches Data, and handled, update corresponding data block.In view of each measuring point data may be used as technology key index or It is as process curve a part, it is therefore desirable to save simultaneously, the specific steps are as follows:
(1) inner server receives data, is saved in single measuring point data;
It calculates and is designated as i_cursor=sig_id-min_sig_id under single measuring point data index and obtains measuring point to take currently The single-point index position of business device;The memory that measuring point data is stored is obtained at index mono_ind_array [i_cursor] Data are written in this address in location;
(2) inner server receives data, saves data to measuring point data block, steps are as follows:
Calculate i_cursor=sig_id-min_sig_id;Measuring point is obtained to index in the measuring point data block of current server Position;
Measuring point data storage data block first address block_ is obtained from block_ind_array [i_cursor] Address, and obtain the current measuring point data storage position pos of data block, data block length len;
Calculate pos=pos mod len;In block_address [pos] storage measuring point signal data record;Current Position covers newest measuring point signal data.
Block_ind_array [i_cursor] current location pos is updated to pos+1mod len.It is used to indicate next Measuring point data storage position.
Here, inner server constantly carries out the update of data, to wait request server or client to carry out data reading It takes.
Thus mode can constantly refresh in the data block memory of fixed size, save the survey in nearest a period of time Point signal data.
5th step, request server or client read data.Client reads corresponding data, bent in real time to generate measuring point Line shows Real-time process data.The specific steps of which are as follows:
(1) client transmit a request to data access scheduler, and request is single comprising sig_name and request data Or data block.
According to the signal name sig_name of request, measuring point mark sig_id is found from sig_id_array;It checks Sig_server_list searches corresponding inner server, transmits the request to corresponding inner server.
(2) if request is reads single measuring point data, inner server is from mono_ind_array [sig_id-min_ Sig_id] at directly read data record and place extra buffer.
(3) if request is signal real-time curve, inner server is from block_address=block_ind_array Data block full content is directly read at [sig_id-min_sig_id] places extra buffer;
(4) data block contents are arranged in extra buffer,
Steps are as follows:
The data of block_address [0..pos-1] and block_address [pos..len-1] data content are handed over It is put into extra buffer after changing, guarantees that data block contents are to be sequentially arranged;
(5) encoder according to request server or client requirements by extra buffer data encoding at XML format or Person's JSON format, places output queue, and output queue is output to request server or client using FIFO mode.
In industry spot monitoring system, it is desirable to be able to show in real time live measuring point data critical process index or Show the real-time curve in nearest a period of time.And the preservation that the industrial data center serviced for it is required to high speed is a large amount of Real-time live signal data simultaneously being capable of quickly interviewee's retrieval.The present invention uses inner server measuring point allocation table and measuring point Index the different inner servers and memory address of two-level configuration instruction unlike signal data access.The present invention uses single Measuring point queue and data block queue save signal data, and single measuring point queue is for storing newest one-time process node key index Data, data block queue save the process node measuring point signal data in nearest a period of time, due to using directly covering side The memory mechanism of formula, therefore do not save historical data.Using the access mode of mechanism as above, visitor is made directly memory to be utilized to take Business device measuring point allocation table and measuring point index obtain data, avoid the retrieval of convential memory data, greatly reduce memory service The retrieval pressure of device is suitble to industrial data center using the field of a large amount of industrial signal datas of distributed memory server centered processing Scape.
The basic principles, main features and advantages of the present invention have been shown and described above.The technology of the industry Personnel are it should be appreciated that the present invention is not limited to the above embodiments, and what is described in the above embodiment and the description is only the present invention Principle, various changes and improvements may be made to the invention without departing from the spirit and scope of the present invention, these variation and Improvement is both fallen in the range of claimed invention.The present invention claims protection scope by appended claims and its Equivalent defines.

Claims (6)

1. a kind of industrial signal data access method based on fixed length block, which comprises the following steps:
11) inner server cluster is constructed, needs to set data block length according to the generation of measuring point real-time curve, to memory service Device carries out memory configurations, and establishes inner server informational table of nodes;
12) measuring point is encoded on inner server, the measuring point stored respectively to it on every inner server carries out Encode and establish the Memory Allocation structure of inner server;
13) data transmitted by data high-speed bus are received, data are written scheduler and receive number transmitted by data high-speed bus According to, and data are stored in inner server;
14) reception and processing of inner server data, inner server receive the data of data write-in scheduler dispatches, go forward side by side Row processing, updates corresponding data block;
15) request server or client read data, and client reads corresponding data, to generate measuring point real-time curve or exhibition Show Real-time process data.
2. the industrial signal data access method according to claim 1 based on fixed length block, which is characterized in that described Building inner server cluster the following steps are included:
21) demand that measuring point real-time curve is generated according to client, set data block length as 128,256,512,1024 or 2048;
22) mark sig_id is established to measuring point, mark is numbered from 0;
23) calculate every inner server memory size, according to data block length distribute every inner server corresponding to survey Points, and corresponding measuring point is assigned to every inner server;
24) establish inner server informational table of nodes, established in memory server node information table array sig_id_array, Array index is sig_id, and array sig_id_array stores signal name and measuring point identity map, signal name sig_ The corresponding measuring point of name, sig_name is identified as sig_id;
25) it establishes and saves the corresponding inner server information server_element of measuring point data access, inner server information Server_element structure is as follows:
{min_sig_id,max_sig_id,server_id,server_address},
Wherein: min_sig_id is the minimum measuring point number of inner server storage, and max_sig_id is the inner server The maximum measuring point of storage is numbered, and serve_id is inner server number, and server_address is inner server access Location;
Several server_element form inner server measuring point allocation table sig_server_list;
26) inner server measuring point allocation table sig_server_list is saved in memory server node information table.
3. the industrial signal data access method according to claim 1 based on fixed length block, which is characterized in that described Measuring point is encoded on inner server the following steps are included:
31) configuration indexes in each inner server, and it includes single measuring point datas to index mono_ind_array, data Block indexes block_ind_array;
Single measuring point data indexes the one-dimension array that mono_ind_array is address, and array index id is since 0, wherein subscript The corresponding relationship of id and sig_id is
Id=sig_id-min_sig_id;
Data block index block_ind_array be two-dimensional array, wherein each element structure be pos, length, address},
Pos is used to indicate current newest measuring point data storage position, and length is used to indicate entire data block length, Address is used to indicate data block memory first address;
Queue is configured in each inner server, it includes the queues of single measuring point data and measuring point data block queue, wherein Single measuring point data queue is for storing the last received measuring point data, and measuring point data block queue according to client for wanting The measuring point data stored in nearest a period of time is sought, the distribution of measuring point data block is used by the data block length fixed size of setting Independent memory headroom storage;
32) all inner server data are initialized, corresponding memory address are filled to measuring point index, successively to The first address for the memory address that mono_ind_array, block_ind_array filling distribute.
4. the industrial signal data access method according to claim 1 based on fixed length block, which is characterized in that described Reception data high-speed bus transmitted by data the following steps are included:
41) data be written scheduler from high speed data bus receive data, data mode be sig_name, timestamp, Value }, sig_name is the hashed value of signal name, and timestamp is time tag, and value is measuring point signal value measuring point letter Number numerical value got;
42) data write-in scheduler uses binary chop, and sig_name is searched from sig_id_array, obtains sig_name Array index be sig_id;Sig_server_list, which is retrieved, according to sig_id finds inner server address;
43) data write-in scheduler sends the data to the inner server found.
5. the industrial signal data access method according to claim 1 based on fixed length block, which is characterized in that described Inner server data reception and processing the following steps are included:
51) inner server receives data, is saved in single measuring point data;
I_cursor=sig_id-min_sig_id, which is designated as, under calculating single measuring point data index obtains measuring point in current server Single-point index position;The memory address that measuring point data is stored is obtained at index mono_ind_array [i_cursor], Data are written in this address;
52) inner server receives data, saves data to measuring point data block, steps are as follows:
Calculate i_cursor=sig_id-min_sig_id;Measuring point is obtained in the measuring point data block index position of current server;
Measuring point data storage data block first address block_address is obtained from block_ind_array [i_cursor], and Obtain the current measuring point data storage position pos of data block, data block length len;
Calculate pos=pos mod len;In block_address [pos] storage measuring point signal data record;In current location Cover newest measuring point signal data;
Block_ind_array [i_cursor] current location pos is updated to pos+1mod len.
6. the industrial signal data access method according to claim 1 based on fixed length block, which is characterized in that described Request server or client read data packet include following steps:
61) client transmit a request to data access scheduler, request comprising sig_name and request data be single still Data block,
According to the signal name sig_name of request, measuring point mark sig_id is found from sig_id_array;Check sig_ Server_list searches corresponding inner server, transmits the request to corresponding inner server;
If 62), request is reads single measuring point data, and inner server is from mono_ind_array [sig_id-min_sig_id] Place directly reads data record and places extra buffer;
If 63) request is signal real-time curve, inner server is from block_address=block_ind_array [sig_ Id-min_sig_id] at directly read data block full content place extra buffer;
64) data block contents are arranged in extra buffer, steps are as follows:
After the data of block_address [0..pos-1] are exchanged with block_address [pos..len-1] data content It is put into extra buffer;
65) encoder according to request server or client requirements by extra buffer data encoding at XML format or JSON format, places output queue, and output queue is output to request server or client using FIFO mode.
CN201710285624.6A 2017-04-27 2017-04-27 Industrial signal data access method based on fixed length block Active CN107065800B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710285624.6A CN107065800B (en) 2017-04-27 2017-04-27 Industrial signal data access method based on fixed length block

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710285624.6A CN107065800B (en) 2017-04-27 2017-04-27 Industrial signal data access method based on fixed length block

Publications (2)

Publication Number Publication Date
CN107065800A CN107065800A (en) 2017-08-18
CN107065800B true CN107065800B (en) 2019-04-09

Family

ID=59604787

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710285624.6A Active CN107065800B (en) 2017-04-27 2017-04-27 Industrial signal data access method based on fixed length block

Country Status (1)

Country Link
CN (1) CN107065800B (en)

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101631061A (en) * 2008-07-15 2010-01-20 中国移动通信集团公司 Method for informing resource node message and network entity device
KR20120110776A (en) * 2011-03-30 2012-10-10 주식회사 넥스프링 Industrial wireless access point with control command setup features
CN102855239A (en) * 2011-06-28 2013-01-02 清华大学 Distributed geographical file system
CN102904923A (en) * 2012-06-21 2013-01-30 华数传媒网络有限公司 Data reading method and data reading system capable of relieving disk reading bottleneck
CN102932331A (en) * 2012-09-29 2013-02-13 南京云创存储科技有限公司 Super-safe-storage coding/decoding method applicable to distributed storage system
CN105095421A (en) * 2015-07-14 2015-11-25 南京国电南自美卓控制系统有限公司 Distributed storage method for real-time database
CN105228140A (en) * 2015-08-31 2016-01-06 华为技术有限公司 A kind of data access method and device

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9923969B2 (en) * 2015-08-05 2018-03-20 Futurewei Technologies, Inc. Large-scale storage and retrieval of data with well-bounded life

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101631061A (en) * 2008-07-15 2010-01-20 中国移动通信集团公司 Method for informing resource node message and network entity device
KR20120110776A (en) * 2011-03-30 2012-10-10 주식회사 넥스프링 Industrial wireless access point with control command setup features
CN102855239A (en) * 2011-06-28 2013-01-02 清华大学 Distributed geographical file system
CN102904923A (en) * 2012-06-21 2013-01-30 华数传媒网络有限公司 Data reading method and data reading system capable of relieving disk reading bottleneck
CN102932331A (en) * 2012-09-29 2013-02-13 南京云创存储科技有限公司 Super-safe-storage coding/decoding method applicable to distributed storage system
CN105095421A (en) * 2015-07-14 2015-11-25 南京国电南自美卓控制系统有限公司 Distributed storage method for real-time database
CN105228140A (en) * 2015-08-31 2016-01-06 华为技术有限公司 A kind of data access method and device

Also Published As

Publication number Publication date
CN107065800A (en) 2017-08-18

Similar Documents

Publication Publication Date Title
US20170177646A1 (en) Processing time series data from multiple sensors
CN109951463A (en) A kind of Internet of Things big data analysis method stored based on stream calculation and novel column
CN202058147U (en) Distribution type real-time database management system
CN104252536B (en) A kind of internet log data query method and device based on hbase
CN104516979B (en) A kind of data query method and system based on quadratic search
US12019911B2 (en) Storage management apparatus, method and program
CN105608188A (en) Data processing method and data processing device
CN104252528B (en) Big data secondary index establishing method based on identifier space mapping
KR20150112357A (en) Sensor data processing system and method thereof
CN107302569B (en) Cloud platform-oriented security monitoring data acquisition and storage method
CN112749153B (en) Industrial network data management system
CN103207920A (en) Parallel metadata acquisition system
CN110427446B (en) Method and system for rapidly publishing and browsing mass image services
CN103886508A (en) Mass farmland data monitoring method and system
CN112905600B (en) Data query method and device, storage medium and electronic equipment
CN104199978A (en) System and method for realizing metadata cache and analysis based on NoSQL and method
CN102946320A (en) Distributed supervision method and system for user behavior log forecasting network
CN108133043B (en) Structured storage method for server running logs based on big data
CN110334290A (en) A kind of space-time data method for quickly retrieving based on MF-Octree
CN103198126B (en) Internet of Things Temporal-spatial data management method
CN103218396B (en) The management and running visual analysis method of static Web page is generated according to visitation frequency feature
CN107065800B (en) Industrial signal data access method based on fixed length block
CN112905571B (en) Train rail transit sensor data management method and device
CN117527805A (en) Multi-mode data access optimization method and system based on server cluster
KR20220071548A (en) Sensor data processing system

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
GR01 Patent grant
GR01 Patent grant
PE01 Entry into force of the registration of the contract for pledge of patent right

Denomination of invention: Industrial signal data access method based on fixed length data block

Effective date of registration: 20220324

Granted publication date: 20190409

Pledgee: China Construction Bank Corporation Hefei Shushan sub branch

Pledgor: HEFEI CITY CLOUD DATA CENTER Co.,Ltd.

Registration number: Y2022980003149

PE01 Entry into force of the registration of the contract for pledge of patent right