CN104394209A - Real-time database data transmission method applied to distributive energy management - Google Patents

Real-time database data transmission method applied to distributive energy management Download PDF

Info

Publication number
CN104394209A
CN104394209A CN201410667219.7A CN201410667219A CN104394209A CN 104394209 A CN104394209 A CN 104394209A CN 201410667219 A CN201410667219 A CN 201410667219A CN 104394209 A CN104394209 A CN 104394209A
Authority
CN
China
Prior art keywords
message
real
time database
node
message center
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.)
Granted
Application number
CN201410667219.7A
Other languages
Chinese (zh)
Other versions
CN104394209B (en
Inventor
丁钊
吴双惠
孔波利
沈志广
崔丽艳
王兆庆
段太钢
李燕
刘永华
王四伟
胡叶宾
陈强
张秀娟
金华蓉
窦中山
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.)
XJ Electric Co Ltd
Xuchang XJ Software Technology Co Ltd
Original Assignee
XJ Electric Co Ltd
Xuchang XJ Software Technology 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 XJ Electric Co Ltd, Xuchang XJ Software Technology Co Ltd filed Critical XJ Electric Co Ltd
Priority to CN201410667219.7A priority Critical patent/CN104394209B/en
Publication of CN104394209A publication Critical patent/CN104394209A/en
Application granted granted Critical
Publication of CN104394209B publication Critical patent/CN104394209B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/10Protocols in which an application is distributed across nodes in the network

Abstract

The invention discloses a real-time database data transmission method applied to distributive energy management. The method is implemented based on the distributive real-time database, and the whole distributive real-time database is composed of a plurality of stand-alone real-time database nodes; each node can be independently operated or all nodes can form a distributive real-time database; the plurality of real-time database nodes communicate with each other, and a distributing/ subscribing model is operated at a message center to provide an access interface, so as to form a distributive real-time database system which is physically distributively operated and logically stand-alone. According to the method, each real-time database node is at the same level and no key node is provided, so that the reliability of the whole real-time database is improved; the whole real-time database cannot be influenced by the fault of some node; therefore, the problem of inconvenient communication caused by a plurality of intelligent devices, large data acquiring quantity, uneasy allocation of real-time database of single monitoring system of the large-scale distributive energy managing system can be solved.

Description

A kind of real-time database data transmission method for distributed energy management
Technical field
The invention belongs to distributed energy management domain, be specifically related to a kind of real-time database data transmission method for distributed energy management.
Background technology
Along with greatly developing of distributed energy, the management of distributed energy also becomes increasingly important.In distributed energy management system, the use of various smart machine also gets more and more, and a large amount of smart machines is linked in system, brings immense pressure to real-time database.In order to improve the handling property of real-time database, class methods improve the disposal ability of unit real-time database, and another kind of method disperses unit real-time database pressure by multiple node.The former is in data volume scale one timing, and in performance, advantage is better, but then can bring inconvenience during dilatation, so need during design to consider the factor such as dilatation, redundancy, therefore hardware cost is larger.Latter is comparatively easy to dilatation, but owing to carrying out distributed deployment by modes such as networks, so processing speed has certain inferior position relative to the former, but hardware cost is low.
Because the management object of distributed energy management system compares dispersion relative to transformer station, and the possibility of System Expansion is also larger, simultaneously the real-time of distributed energy management solutions system is lower relative to requiring transformer substation system, therefore the invention provides a kind of data transmission method adopting distributed real-time database.
Summary of the invention
The object of this invention is to provide a kind of real-time database data transmission method for distributed energy management, smart machine in large-scale distributed energy management system is many, image data amount large to solve, separate unit supervisory control system real-time database not easily disposes the communication inconvenience problem caused.
In order to realize above object, the technical solution adopted in the present invention is: a kind of real-time database data transmission method for distributed energy management, and the method comprises transmitting uplink data and downlink data transmission:
Transmitting uplink data comprises the steps:
(1) smart machine access services receives the real time data from concrete intelligence equipment, and the real time data after resolving is encapsulated as message and is sent to message center;
(2) message is forwarded to subscriber by message center: internal memory real-time database receives the message that real time data upgrades, and upgrades internal memory real-time database; Message center adapter receives the message that real time data upgrades, and is sent to network after message being packed;
(3) the message center adapter of other nodes receives real time data updating message, is sent to the message center of this node this locality after parsing, by the message center of this locality, message is forwarded to its subscriber;
Downlink data transmission comprises the steps:
I, real-time database client create the order being issued to smart machine, are that message is sent to message center by Command encapsulate;
Message is forwarded to subscriber by II, message center: internal memory real-time database receives the message of transmitting order to lower levels, upgrades internal memory real-time database; Local intelligent access service receives the message of transmitting order to lower levels, is converted into the protocol format that concrete intelligence equipment is supported, is issued to concrete equipment; Message center adapter receives the message of transmitting order to lower levels, is sent to network after message being packed;
The message center adapter of III, other nodes receives the message of transmitting order to lower levels, is sent to the message center of this node this locality after parsing, by the message center of this locality, message is forwarded to its subscriber.
The method also comprises alert data transmission, comprises the steps:
1., in real-time database Joint Enterprise alert service, alert service subscribes to relevant local real time data according to configuration;
2., alert service receive corresponding data upgrade message time, check alarm rule, if trigger alarm is regular, then generation a warning message be sent to message center;
3., message is forwarded to subscriber by message center: after message center adapter receives warning message, be sent to network after message being packed;
4., the message center adapter of other nodes receives warning message, is sent to the message center of this node this locality, by the message center of this locality, message is forwarded to its subscriber after parsing.
The method also comprises dynamic expansion real-time database node, comprises the steps:
I, configuration tool synchronously existing Joint Enterprise is used, newly-increased node and relevant configuration thereof simultaneously;
II, after preservation is configured to new node, automatically revise configuration file, to configuration file change, configuration file is split into N number of message is sent to message center to configuration synchronization service detection automatically;
III, message is forwarded to subscriber by message center: after message center adapter receives configuration synchronization message, is sent to network after message being packed;
IV, the message center adapter of other nodes receives configuration synchronization message, is sent to the message center of this node this locality after parsing, by the message center of this locality, message is forwarded to its subscriber;
V, after the configuration synchronization service of other nodes receives message, check that whether configuration file message is complete, after all message all correctly receives, configuration file is reverted to this locality.
The method also comprises historical data transmission and stores, and comprises the steps:
(i), in the service of real-time database Joint Enterprise historical storage, historical storage service is according to the configuration measuring point of subscription store, logical groups and warning;
(ii), history data store service receives ordered data by message center, carries out persistence process according to storage rule.
Message center adapter, as the agency of message center, is sent to network after being packed by local message, adopts Link-Layer Multicast or UDP multicast to carry out communication between real-time database node.
Real-time database node administers and maintains all configurations of real-time database node by configuration tool, comprises service configuration, data model configuration, device model configuration, alarm model configuration.
Real-time database node serves by configuration synchronization realize configuring between each node synchronous, and configuration synchronization service, by the configuration of Real-Time Monitoring this locality, once change, is issued configuration information by message center immediately, notified that other Joint Enterprise change.
Real-time database Joint Enterprise intelligent buffer is served, the interface of directly this real-time database node of access is provided, when the local real-time database of data of access exists, then directly return the value of local real-time database, if do not exist, search in disk buffering, if find, return the value in disk buffering, if disk buffering does not also exist, intelligent buffer service is by the information point of adding these data in local real-time database and carry out initialization, check whether the grouping of subscribing to this data place, if do not subscribed to, automatically subscribe to, if subscribe to but do not upgrade, then send calling command messages, require to send in data immediately.
Local internal memory real-time database does not subscribe to the real time data of other nodes, transmitting order to lower levels message and warning message; The transmitting order to lower levels message of other nodes is not subscribed in intelligent buffer service.
The real-time database data transmission method that the present invention is used for distributed energy management realizes based on distributed real-time database, and whole distributed real-time database is made up of multiple unit real-time database node.Each node both also can form a distributed real-time database by independent operating jointly.The mutual communication of multiple real-time database nodes, uses publish/subscribe model to provide access interface by message center, forms a physically distributed operation, distributed real-time database system single in logic.The status of each real-time database node is identical, there is not key node, thus improve the reliability of whole real-time database, certain node failure does not affect whole real-time database, thus solves that smart machine in large-scale distributed energy management system is many, image data amount large, separate unit supervisory control system real-time database not easily disposes the communication inconvenience problem caused.
The method adopts Link-Layer Multicast and UDP multicasting technology to improve the efficiency of network transmission, the reliability of transfer of data is ensured by distinctive message mode, decrease the resource consumption of TCP communication, improve the speed of data network transmission, reduce the delay of accesses network node data.
During the data of accesses network real-time database node, accesses network data are accelerated by intelligent buffer technology, improve the speed from other meshed network data of local IP access, both the delay that client obtains data had been reduced, therefore do not need all data all to put in local memory, reduce the hardware cost of single machine node yet.
The expansion of real-time database node is very convenient, increase when there being new real-time database node or configuration change time, can both initiatively other nodes of notification line, to reach the object of configuration synchronization, and influential system does not normally run.
By in real-time database inserting knot alert service and historical storage service, realize the transmission of warning message, history library node can be become after simultaneously each real-time database node deployment history data store service, if each real-time database node becomes history library node, carry out distributed historical storage while then can disposing distributed real-time database again, save the cost of historical storage further.
Accompanying drawing explanation
Fig. 1 is distributed real-time database individual node internal module and data flow diagram.
Embodiment
Below in conjunction with accompanying drawing and specific embodiment, the present invention is described further.
Be illustrated in figure 1 distributed real-time database individual node internal module of the present invention and data flow diagram, as seen from the figure, whole distributed real-time database is made up of multiple unit real-time database node.Each node both also can form a distributed real-time database by independent operating jointly.Multiple real-time database node realizes internodal communication by Link-Layer Multicast technology and UDP multicasting technology, publish/subscribe model is used to provide access interface by message center, accesses network data are accelerated by intelligent buffer technology, thus a composition physically distributed operation, distributed real-time database system single in logic.Each real-time database node comprises several parts such as internal memory real-time database, message center, message center adapter, intelligent buffer service, configuration synchronization service, alert service, smart machine access services, history data store service, service managerZ-HU, configuration tool and adviser tool (not shown), the role taken on according to node can the different service of configuration operation.
First, modeling is carried out by configuration tool.Configuration tool, for administering and maintaining all configurations of real-time database node, comprises service configuration, data model configuration, device model configuration, alarm model configuration etc.Configuration tool is used to search for already present real-time database node, and initiatively download their configuration, then configuration tool is used to add real-time database node, for each Joint Enterprise needs the service of operation, each real-time database node sets up data access logic component, set up alarm model Sum fanction, need the node carrying out historical storage to need to set up memory model Sum fanction, configuration is written in the repository of each node.
Secondly, other services are started by service managerZ-HU.Service managerZ-HU is the infrastructure service of real-time database node administration own services process, is responsible for starting, guarding and monitor other service processes.First each node starts service managerZ-HU, and service managerZ-HU starts corresponding service according to configuration.Internal memory real-time database, message center and message center adapter and configuration synchronization service are infrastructure services, and each node needs to run; Smart machine access services, alert service, intelligent buffer service and historical storage service are optional services.
Each real-time database node has independently internal memory real-time database and message center service, and internal memory real-time database uses publish/subscribe model to provide access interface by local message center, and each node can as independently real-time database work.
Each real-time database node provides inner and external reference interface.Message center uses subscription/publication model to provide access interface, internal memory real-time database then directly provides access interface by API, real-time database internal services accesses the real time data of the machine by these two kinds of interface modes, and senior application then provides access interface by distributed real-time database API storehouse is unified.
Real-time database node realizes the message communication between each node by message center adapter.Message center adapter, as the agency of message center, can subscribe to all types of message, and choice for use Link-Layer Multicast driving after local message packaging or the driving of transport layer UDP multicast is come to send local message to network according to network environment.When network configuration is simple, use link layer multicasting technology, (be made up of multiple different network) when network configuration is more complicated and use UDP multicasting technology.Message center adapter is being subscribed to and after receiving the message of other nodes, can according to the subscription rules of the local node of configuration, and first filter message, is forwarded to local messaging center by the message meeting subscription rules.
Real-time database node serves by configuration synchronization realize configuring between each node synchronous.Configuration synchronization service, by the configuration of Real-Time Monitoring this locality, once change, is issued configuration information by message center immediately, thus is notified that other Joint Enterprise change.Configuration synchronization service will be responsible for the configuration synchronization of other node to local node, and the configuration of each node is integrated, for client by understanding whole distributed real-time database all information during this node visit real-time database.
Real-time database node improves the speed from other meshed network data of local IP access by intelligent buffer technology.Intelligent buffer service provides the interface of direct visiting distribution formula real-time database, when the local real-time database of data of access exists, then directly return the value of local real-time database, if do not exist, search in disk buffering, if find, return the value in disk buffering, if disk buffering does not also exist, intelligent buffer service is by the information point of adding these data in local real-time database and carry out initialization, check whether the grouping of subscribing to this data place, if do not subscribed to, automatically subscribe to, if subscribe to but do not upgrade, then send calling command messages, require to send in data immediately.Intelligent buffer service, by intellectual analysis data access frequency, determines which data buffer storage is in internal memory real-time database automatically, and which data buffer storage in disk, and changes the distribution of data buffer storage according to frequency change automatic dynamic.
Smart machine access services is used for and concrete smart machine communication, the real time data of acquisition is issued by message center, and subscribes to relevant command messages, performs the various transferring order received to concrete smart machine.
Real-time database node also can provide warning and historical storage service.Alert service is the warning producer, produces warning message according to configured model Sum fanction.Historical storage service selects to subscribe to relevant data (history data store service does not use intelligent buffer service to visit message center) according to the memory model of configuration, and the data of subscription are carried out persistence.History library node can be become after the service of each real-time database node deployment history data store, if each real-time database node becomes history library node, carry out distributed historical storage while then can disposing distributed real-time database again, save the cost of historical storage further.
Adviser tool in the present invention is for managing and monitor all services of real-time database node.
In the data model of real-time database, each measuring point, except being under the jurisdiction of physical device, can also be under the jurisdiction of multiple logical groups simultaneously, each logical groups is nestable definition, logical groups is cross-node, in the whole distributed real-time database overall situation effectively, is not confined in individual node.
The step of the upstream data flow process of real-time database node is:
(1) smart machine access services receives the real time data (read-only measuring point) from concrete intelligence equipment, and the real time data after resolving is encapsulated as message and is sent to message center;
(2) message is forwarded to subscriber by message center: internal memory real-time database receives the message that real time data upgrades, and upgrades internal memory real-time database; Message center adapter receives the message that real time data upgrades, and is sent to multicast group after message being packed;
(3) the message center adapter of other nodes receives real time data updating message by multicast group, the message center of this node this locality is sent to after parsing, by the message center of this locality, message is forwarded to its subscriber, but local internal memory real-time database does not subscribe to the real time data message of other nodes.
In addition, intelligent buffer service receives the real time data updating message of subscribing to other nodes arrived, and searches the storage rule that measuring point data is current, is updated in internal memory real-time database or disk buffering.
Downlink data transmission comprises the steps:
I, real-time database client create the order (measuring point that can write) being issued to smart machine, are that message is sent to message center by Command encapsulate;
Message is forwarded to subscriber by II, message center: internal memory real-time database receives the message of transmitting order to lower levels, upgrades internal memory real-time database; Local intelligent access service receives the message of transmitting order to lower levels, is converted into the protocol format that concrete intelligence equipment is supported, is issued to concrete equipment; Message center adapter receives the message of transmitting order to lower levels, is sent to multicast group after message being packed;
The message center adapter of III, other nodes receives the message of transmitting order to lower levels, the message center of this node this locality is sent to after parsing, by the message center of this locality, message is forwarded to its subscriber, forwards the command on the concrete equipment performed by smart machine access services; But the message of the transmitting order to lower levels of other nodes is not subscribed in local internal memory real-time database and intelligent buffer service.
The step of the alarm flow of real-time database node is:
1., in real-time database Joint Enterprise alert service, alert service subscribes to relevant local real time data (comprise read-only with can write) according to configuration;
2., alert service receive corresponding data upgrade message time, check alarm rule, if trigger alarm is regular, then generation a warning message be sent to message center;
3., message is forwarded to subscriber by message center: after message center adapter receives warning message, be sent to network after message being packed;
4., the message center adapter of other nodes receives warning message, is sent to the message center of this node this locality, by the message center of this locality, message is forwarded to its subscriber after parsing; This warning message is not updated in internal memory real-time database, is only issued by message center and subscribes to.
The step of dynamic expansion real-time database node is:
I, configuration tool synchronously existing Joint Enterprise (if first node is then synchronous less than any configuration) is used, newly-increased node and relevant configuration thereof, comprise data access logic component (smart machine, measuring point and logical groups), alarm model etc. simultaneously;
II, after preservation is configured to new node, automatically revise configuration file, to configuration file change, configuration file is split into N number of message is sent to message center to configuration synchronization service detection automatically;
III, message is forwarded to subscriber by message center: after message center adapter receives configuration synchronization message, is sent to network after message being packed;
IV, the message center adapter of other nodes receives configuration synchronization message, is sent to the message center of this node this locality after parsing, by the message center of this locality, message is forwarded to its subscriber;
V, after the configuration synchronization service of other nodes receives message, check that whether configuration file message is complete, after all message all correctly receives, configuration file is reverted to this locality.
The step of history data store flow process tool is:
(i), in the service of real-time database Joint Enterprise historical storage, historical storage service is according to the configuration measuring point of subscription store, logical groups and warning;
(ii), history data store service receives ordered data by message center, carries out persistence process according to storage rule.
Above embodiment only understands core concept of the present invention for helping; the present invention can not be limited with this; for those skilled in the art; every according to thought of the present invention; the present invention is modified or equivalent replacement; any change done in specific embodiments and applications, all should be included within protection scope of the present invention.

Claims (9)

1., for a real-time database data transmission method for distributed energy management, it is characterized in that: the method comprises transmitting uplink data and downlink data transmission:
Transmitting uplink data comprises the steps:
(1) smart machine access services receives the real time data from concrete intelligence equipment, and the real time data after resolving is encapsulated as message and is sent to message center;
(2) message is forwarded to subscriber by message center: internal memory real-time database receives the message that real time data upgrades, and upgrades internal memory real-time database; Message center adapter receives the message that real time data upgrades, and is sent to network after message being packed;
(3) the message center adapter of other nodes receives real time data updating message, is sent to the message center of this node this locality after parsing, by the message center of this locality, message is forwarded to its subscriber;
Downlink data transmission comprises the steps:
I, real-time database client create the order being issued to smart machine, are that message is sent to message center by Command encapsulate;
Message is forwarded to subscriber by II, message center: internal memory real-time database receives the message of transmitting order to lower levels, upgrades internal memory real-time database; Local intelligent access service receives the message of transmitting order to lower levels, is converted into the protocol format that concrete intelligence equipment is supported, is issued to concrete equipment; Message center adapter receives the message of transmitting order to lower levels, is sent to network after message being packed;
The message center adapter of III, other nodes receives the message of transmitting order to lower levels, is sent to the message center of this node this locality after parsing, by the message center of this locality, message is forwarded to its subscriber.
2. the real-time database data transmission method for distributed energy management according to claim 1, is characterized in that: the method also comprises alert data transmission, comprises the steps:
1., in real-time database Joint Enterprise alert service, alert service subscribes to relevant local real time data according to configuration;
2., alert service receive corresponding data upgrade message time, check alarm rule, if trigger alarm is regular, then generation a warning message be sent to message center;
3., message is forwarded to subscriber by message center: after message center adapter receives warning message, be sent to network after message being packed;
4., the message center adapter of other nodes receives warning message, is sent to the message center of this node this locality, by the message center of this locality, message is forwarded to its subscriber after parsing.
3. the real-time database data transmission method for distributed energy management according to claim 1, is characterized in that: the method also comprises dynamic expansion real-time database node, comprises the steps:
I, configuration tool synchronously existing Joint Enterprise is used, newly-increased node and relevant configuration thereof simultaneously;
II, after preservation is configured to new node, automatically revise configuration file, to configuration file change, configuration file is split into N number of message is sent to message center to configuration synchronization service detection automatically;
III, message is forwarded to subscriber by message center: after message center adapter receives configuration synchronization message, is sent to network after message being packed;
IV, the message center adapter of other nodes receives configuration synchronization message, is sent to the message center of this node this locality after parsing, by the message center of this locality, message is forwarded to its subscriber;
V, after the configuration synchronization service of other nodes receives message, check that whether configuration file message is complete, after all message all correctly receives, configuration file is reverted to this locality.
4. the real-time database data transmission method for distributed energy management according to claim 1, is characterized in that: the method also comprises historical data transmission and stores, and comprises the steps:
(i), in the service of real-time database Joint Enterprise historical storage, historical storage service is according to the configuration measuring point of subscription store, logical groups and warning;
(ii), history data store service receives ordered data by message center, carries out persistence process according to storage rule.
5. the real-time database data transmission method for distributed energy management according to claim 1, it is characterized in that: message center adapter is as the agency of message center, be sent to network after being packed by local message, between real-time database node, adopt Link-Layer Multicast or UDP multicast to carry out communication.
6. the real-time database data transmission method for distributed energy management according to claim 1, it is characterized in that: real-time database node administers and maintains all configurations of real-time database node by configuration tool, comprise service configuration, data model configuration, device model configuration, alarm model configuration.
7. the real-time database data transmission method for distributed energy management according to claim 1, it is characterized in that: real-time database node serves by configuration synchronization realize configuring between each node synchronous, configuration synchronization service is by the configuration of Real-Time Monitoring this locality, once change, issue configuration information by message center immediately, notify that other Joint Enterprise change.
8. the real-time database data transmission method for distributed energy management according to claim 1, it is characterized in that: real-time database Joint Enterprise intelligent buffer is served, the interface of directly this real-time database node of access is provided, when the local real-time database of data of access exists, then directly return the value of local real-time database, if do not exist, search in disk buffering, if find, return the value in disk buffering, if disk buffering does not also exist, intelligent buffer service is by the information point of adding these data in local real-time database and carry out initialization, check whether the grouping of subscribing to this data place, if do not subscribed to, automatically subscribe to, if subscribe to but do not upgrade, then send calling command messages, require to send in data immediately.
9. the real-time database data transmission method for distributed energy management according to claim 8, is characterized in that: local internal memory real-time database does not subscribe to the real time data of other nodes, transmitting order to lower levels message and warning message; The transmitting order to lower levels message of other nodes is not subscribed in intelligent buffer service.
CN201410667219.7A 2014-11-20 2014-11-20 A kind of real-time database data transmission method for distributed energy management Active CN104394209B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201410667219.7A CN104394209B (en) 2014-11-20 2014-11-20 A kind of real-time database data transmission method for distributed energy management

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201410667219.7A CN104394209B (en) 2014-11-20 2014-11-20 A kind of real-time database data transmission method for distributed energy management

Publications (2)

Publication Number Publication Date
CN104394209A true CN104394209A (en) 2015-03-04
CN104394209B CN104394209B (en) 2017-11-21

Family

ID=52612044

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201410667219.7A Active CN104394209B (en) 2014-11-20 2014-11-20 A kind of real-time database data transmission method for distributed energy management

Country Status (1)

Country Link
CN (1) CN104394209B (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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
CN107103021A (en) * 2016-02-23 2017-08-29 三星电子株式会社 Computer system and the method for control computer
CN108737514A (en) * 2018-05-04 2018-11-02 南京国电南自轨道交通工程有限公司 A kind of distributed power method for real-time monitoring based on distributed data base technique
CN110865615A (en) * 2019-11-05 2020-03-06 深圳供电局有限公司 Energy analysis method and system
CN111027098A (en) * 2019-12-09 2020-04-17 广州信天翁信息科技有限公司 Data management model based on three-layer architecture

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102280937A (en) * 2011-07-29 2011-12-14 深圳市科陆电子科技股份有限公司 Distributed energy monitoring system and method
CN102647466A (en) * 2012-03-31 2012-08-22 中国电力技术装备有限公司北京分公司 Distributed energy integrated management system

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102280937A (en) * 2011-07-29 2011-12-14 深圳市科陆电子科技股份有限公司 Distributed energy monitoring system and method
CN102647466A (en) * 2012-03-31 2012-08-22 中国电力技术装备有限公司北京分公司 Distributed energy integrated management system

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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
CN107103021A (en) * 2016-02-23 2017-08-29 三星电子株式会社 Computer system and the method for control computer
CN107103021B (en) * 2016-02-23 2021-10-08 三星电子株式会社 Computer system and method for controlling computer
US11301422B2 (en) 2016-02-23 2022-04-12 Samsung Electronics Co., Ltd. System and methods for providing fast cacheable access to a key-value device through a filesystem interface
CN108737514A (en) * 2018-05-04 2018-11-02 南京国电南自轨道交通工程有限公司 A kind of distributed power method for real-time monitoring based on distributed data base technique
CN110865615A (en) * 2019-11-05 2020-03-06 深圳供电局有限公司 Energy analysis method and system
CN111027098A (en) * 2019-12-09 2020-04-17 广州信天翁信息科技有限公司 Data management model based on three-layer architecture
CN111027098B (en) * 2019-12-09 2022-03-18 广州信天翁信息科技有限公司 Data management model based on three-layer architecture

Also Published As

Publication number Publication date
CN104394209B (en) 2017-11-21

Similar Documents

Publication Publication Date Title
US11469949B2 (en) Hierarchical configuration of networked communication devices
CA2869505C (en) Method and system for group communication, group server, and group member device
KR102410469B1 (en) Internet of things event management systems and methods
CN104394209A (en) Real-time database data transmission method applied to distributive energy management
CN103036736B (en) A kind of configuration equipment monitoring system based on data source and method
CN103024060A (en) Open type cloud computing monitoring system for large scale cluster and method thereof
JP2020533892A (en) Internet of Things Resources Subscription Methods, Devices, and Systems
CN105472042A (en) WEB terminal controlled message middleware system and data transmission method thereof
CN102938794A (en) Address resolution protocol (ARP) message forwarding method, exchanger and controller
Liu et al. A Fault Management Protocol for Low-Energy and Efficient Wireless Sensor Networks.
US10244549B2 (en) Method and apparatus for group management during machine-to-machine communication
CN105472002A (en) Session synchronization method based on instant copying among cluster nodes
CN104618221A (en) Decentralized message service system
EP3062544B1 (en) Method, node and system for managing resources of machine type communication application
CN102711139A (en) Data flow counting method and terminal
CN108848132A (en) A kind of distribution scheduling station system based on cloud
CN102843432B (en) Network communication system applicable to sharing and synchronous updating of data at multiple clients
CN103731870A (en) Management method and device for monitoring tasks
CN104468633A (en) SDN southing security proxy product
CN112217847A (en) Micro service platform, implementation method thereof, electronic device and storage medium
JP2023506239A (en) Systems and methods for autonomous monitoring and recovery in hybrid energy management
CN103813372A (en) Wireless sensor network management method based on IPV6 (internet protocol version 6)
CN102158356A (en) Integrated network management agent device for network elements in hybrid fiber coax (HFC) heterogeneous network
CN103051478B (en) A kind of Large Copacity telecom network management system and and methods for using them is set
US20180288170A1 (en) Resource Acquiring Method and Apparatus

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant