CN103905553A - Cloud architecture of energy efficiency management system and operation method thereof - Google Patents
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Abstract
The invention discloses a cloud architecture of an energy efficiency management system and an operation method of the cloud architecture. By introducing the cloud architecture and the operation method of the cloud architecture, fast seamless connecting-in of a newly added service module and acquired data share can be achieved by the system according to continuous expanding of client service classes, meanwhile, energy efficiency data can be acquired, processed and published by the system efficiently with dynamic load balance and high quality according to the client service scale, normal operation of user service is guaranteed, and the availability and the running efficiency of the system can be substantially improved through interior monitoring and operating mechanisms of the system.
Description
Technical field
The present invention relates to energy efficiency management and cloud computing field, specifically a kind of cloud framework and operation method thereof of energy efficiency management system.
Background technology
The exhaustion of global energy and the rise of energy prices have restricted the development of country and enterprise, and the energy uses how transformation has started to rise to strategic height from rough type to fine-grained management, and setting up a set of energy efficiency management system becomes key.
At present, " energy-conservation " (energy conservation) word of generally using in the world " energy efficiency " (energy efficiency) to substitute to propose after energy crisis the seventies in last century.
Energy efficiency management system first stage of construction configures according to short-term project demand substantially, General System is all according to small-scale investment construction, when business scale increases while exceeding originally design capacity, system architecture and performance cannot meet service needed, and the system of may shining into is overturned and again built.In the time of System Expansion and new legacy system switching, bring to client's business interrupts and inconvenience.Because energy efficiency management is a long-term job, so in the long term growth that just should look to the future of system Construction initial stage, allow the system architecture can be according to the seamless expansion of business development.
Summary of the invention
The present invention be directed to the defect of above-mentioned technology, proposed a kind of cloud framework and operation method thereof of energy efficiency management system.
Technical scheme of the present invention is:
A kind of cloud framework of energy efficiency management system, it comprises data acquisition platform, cloud computing platform, business platform and cloud storage platform, the same business platform of described data acquisition platform, cloud computing platform and cloud storage platform are connected respectively, described cloud computing platform is also connected respectively with cloud storage platform with business platform, and described business platform also connects with cloud storage platform;
Described data acquisition platform comprises multiple preposition communication modules, communication dispatch module, data processing module, timing acquiring and benefit survey module, WEB service module and WebService interface service module; Described multiple preposition communication module is connected with data processing module by communication dispatch module, data processing module is also connected respectively with timing acquiring and benefit survey module, WEB service module, WebService interface service module, and timing acquiring is surveyed module with benefit and is also connected with WEB module;
Described cloud computing platform comprises data processing module, Data Integration module and data-mining module;
Described business platform comprises at least one energy conservation module;
Described cloud storage platform comprises at least one energy conservation database;
Described data acquisition platform, cloud computing platform, business platform, cloud storage platform form by Cloud Server.
Concrete, described Cloud Server is made up of server cluster.
More excellent, described server is installed uninterrupted power supply.
More specifically, described business platform comprises the one or more of forward purchasing electric administration module, line loss administration module, electricity bill control module, ordered electric administration module, dsm module, metering separate module, boiler energy efficiency management module, photovoltaic monitoring system module, enterprise energy administration module.
More specifically, described cloud storage platform comprises the one or more of power information management database, metering separate system database, photovoltaic system database, external system database, acquisition platform database.
More excellent, the communication between described each module adopts the long connected mode communication of Soocket.
More specifically, between described each module, adopt heartbeat frame to detect the busy extent of connection status and module, when in the >80% of the capacity of queue situation that module need be processed, affairs are submitted to other load balancing module, in the time that capacity of queue is full, reject new affairs.
More excellent, the communication frames definition internal communication stipulations of each intermodule, described internal communication stipulations comprise and show data bang path, internal command number, priority, length and protocol type.
More specifically, the communication frame structure that comprises internal communication stipulations described in is bebinning character, data field length n, data field length n, bebinning character, terminal stipulations, source address, destination address, serial number, priority, command type, warehouse-in mark, answers mark, data field, check code, postamble.
More excellent, the quantity of its system thread has reserved quota and two kinds of quota configuration modes of elasticity quota restrictions, and described reserved quota is the Thread Count that must ensure, and elasticity quota restrictions are the maximum threads that can be assigned to.
More excellent, described preposition communication module is taking every 40,000 efficiency collection points as unit automatic adaptation.
More excellent, preposition communication module also comprises the connection management of a responsible terminal and the synchronous asynchronous Data Control mechanism of transfer of data, and in the time that system increases a channel or linking number and is greater than 40,000, system can be expanded a preposition communication module from resource pool automatically.
More excellent, the server of described business platform, cloud computing platform and cloud storage platform is installed uninterrupted power supply.
A cloud framework operation method for energy efficiency management system, connects by communication network between the each module of system, and it comprises:
A data acquisition step,
A data allocation schedule step,
A data processing step,
Data extendable and recycling step,
The cloud computing step of Data Integration and data mining,
An energy efficiency management steps in decision-making of carrying out for data,
A data cloud storing step,
Described data allocations scheduling step, data processing step, Data Dynamic expansion and recycling step, Data Integration and data mining step, energy efficiency management steps in decision-making, data cloud storing step all complete by Cloud Server.
More excellent, described system data acquisition step is:
A) send instructions when communication module receives under main website interface or background task, instruction adds transmit queue and according to issuing the communication protocol type that object is supported, calls stipulations and explains that carrying out framing forms concrete message and return to communication module;
B) communication module is receiving after acknowledgement frame, simultaneously with in queue under send instructions and mate;
C), after after matched data finishes, call stipulations explanation data are identified, explained;
D) judge that whether these data are the data that need warehouse-in, if these data are the data that need warehouse-in, submit to database processing module and put processing in storage;
E), after data processing finishes, this instruction is deleted from queue, and result is returned to main website interface and background task.
More excellent, between the each module of system, carrying out module and connect testing process, detecting step is:
A, recipient wait for connection request;
B, transmit leg send connection request;
C, recipient judge whether successful connection after receiving connection request, and successful recipient waits for heartbeat message, the unsuccessful step a that returns;
D, transmit leg timed sending heartbeat message;
E, recipient receive heartbeat message and keep successful connection; If recipient does not receive heartbeat message within maximum time, automatically disconnect, and return to step a.
More excellent, the Cloud Server main frame of system adopts the mode of two main frame shared disk arrays to realize dual computer fault-tolerant.
More excellent, between system module, adopt initiatively dynamically connected mode, when a certain module of system breaks down, all modules associated with it are all in wait state; After this module recovery is normal, the module being associated connects with it automatically.
More excellent, system, by the state of different operational modules is formulated to diagnostic rule, detects operational module dynamically, notes abnormalities in time, preserves as daily record, points out keeper simultaneously, carries out necessary maintenance work.
More excellent, in the time of transfer of data generation off line, each module has the data hold function of certain hour, carries out automatic continuous biography after module recovery work.
Beneficial effect of the present invention is:
The present invention can according in the ever-increasing situation of client's scope of business (little of 1 business module, greatly to tens business modules), make full use of resource and the data of existed system.The development that client seldom looks to the future after several years in the time of system Construction in the past, and energy efficiency management is to need long-term development, for new business unit, client sets up separately a set of independently system, like this in efficiency data acquisition, just there will be the overlapping investment construction of communication channel, system interface, efficiency data metering and collecting device, according to project data in the past, by cloud framework of the present invention and operation method and method, can save total cost and be greater than 30%, along with business module is more, this effect is more remarkable.This invention simultaneously has also significantly reduced the impact that Added Business module is brought client's installation and maintenance, corresponding module simply be installed and be configured to system only need and can complete the expansion of new operation system, allows system maintenance personnel's maintenance workload and Capability Requirement almost not change simultaneously;
The present invention has also solved original system cannot be effectively according to data volume, collection point, visit capacity, many factors such as amount of calculation, carry out dynamically rational configuration management system resource problem, effectively raise the ability of system to resource dynamic management configuration, system realizes dynamic load leveling, efficiently, the high-quality collection that completes efficiency data, process and issue, guarantee that client is along with business development, system also can seamless expansion in non-stop-machine situation automatically, ensure the continuity of client's business, make system downtime by original 1-2 days, be reduced to 0 day.
The invention solves single module failure in original system and cause system failure problem, effectively raise system survivability and fault detect recovery capability, significantly improve the reliability of system.The a certain module of system broke down in the past, system maintenance personnel often cannot accurately navigate to the fault of certain module, all generally to restart and deal with problems by whole system, and can accurately locate abort situation and type by fault detection mechanism of the present invention, and rapid pipe connecting malfunctioning module work automatically, carry out troubleshooting, system mean failure rate is found and is less than 1 minute recovery time simultaneously.
The invention solves in original system extensive frequently-used data double counting problem, having solved on the one hand large-scale data, to calculate amount consuming time large, and the problem that client's stand-by period is long, has solved the high problem of system CPU load factor that double counting brings on the other hand.
The invention solves the issue of priority to data command in original system, can preferentially ensure that the urgent and important instruction of client's business preferentially carries out.
The invention solves in original system, each module is in asynchronous process process, the problem of the loss of data that a certain module failure causes, each asynchronous processing module is equipped with caching mechanism, so system not only can accomplish that data do not lose, can also accomplish fault recovery simultaneously after each asynchronous module independently recover breakpoint execution function.
Brief description of the drawings
Fig. 1 is energy efficiency management system structure chart of the present invention.
Fig. 2 is system layout of the present invention.
Fig. 3 is data acquisition flow figure of the present invention.
Fig. 4 is that module of the present invention connects monitoring flow chart.
Fig. 5 is data cache module Organization Chart of the present invention.
Embodiment
Contrast accompanying drawing below and the present invention will be described in conjunction with embodiment.
As shown in Figure 1, a kind of cloud framework and operation method thereof of energy efficiency management system, it comprises data acquisition platform, cloud computing platform, business platform and cloud storage platform, the same business platform of data acquisition platform, cloud computing platform and cloud storage platform are connected respectively, cloud computing platform is also connected respectively with cloud storage platform with business platform, and business platform also connects with cloud storage platform;
Data acquisition platform comprises multiple preposition communication modules, communication dispatch module, data processing module, timing acquiring and benefit survey module, WEB service module and WebService interface service module; Multiple preposition communication modules are connected with data processing module by communication dispatch module, data processing module is also connected respectively with timing acquiring and benefit survey module, WEB service module, WebService interface service module, and timing acquiring is surveyed module with benefit and is also connected with WEB module;
Cloud computing platform comprises data processing module, Data Integration module and data-mining module;
Business platform comprises the electric administration module of forward purchasing, line loss administration module, electricity bill control module, ordered electric administration module, dsm module, metering separate module, boiler energy efficiency management module, photovoltaic monitoring system module, enterprise energy administration module;
Cloud storage platform comprises electric information management database, metering separate system database, photovoltaic system database, external system database, acquisition platform database.
Data acquisition platform, cloud computing platform, business platform, cloud storage platform form by Cloud Server.
Cloud Server forms by server cluster, and uninterrupted power supply is installed.
For example, in certain scientific and technological park, it by ammeter, water meter, gas meter, sensor device gather garden user with can information and environmental parameter, by acquisition terminal, concentrate terminal by efficiency uploading information data to Cloud Server, in Cloud Server, complete:
1) user is carried out to energy diagnosis and audit, comprise the analysis energy saving space;
2) design efficiency scheme, manages training, comprises and formulates efficiency training program;
3) dispose power consumption equipment monitoring device, comprise installation hardware facility;
4) dispose on-the-spot internet of things, comprise the connection of internet of things, communication module and energy efficiency management service client;
5) dispose energy efficiency management main website, for carrying out intellectualized operation and energy efficiency management;
6) system operation, is included in energy efficiency management main website and normally moves hardware and software facility, carries out visualized management, efficiency assessment, technical training and long term service;
Efficiency data carried out data acquisition and Data Analysis and processed and checking, and can make a report on by artificial data, ensureing accuracy and the integrality of data.
By cloud computing platform, data are processed, carried out statistical computation and data mining by energy subitem, cycle, point family, device type.
7) obtained information data is analyzed, and basis of formation database and can equipment typical Mathematics Model storehouse based on using with sample pattern storehouse that can consumer behavior;
8) according to step 7) basic database and carry out operating cost analysis and pattern recognition with the data result of can equipment typical Mathematics Model storehouse analyzing;
9) prioritization scheme and measure are proposed;
10) remote online adjustment, installs energy-saving equipment or increases monitoring point without artificial, can complete after prioritization scheme and measure, return to step 6), or energy-saving equipment be manually installed or increased monitoring point, completing after prioritization scheme and measure, returning to step 6).
Communication between the each module of the present invention adopts the long connected mode communication of Soocket, specifically connects flow process and sees Fig. 3.Effectively reduce in this way each module and expended the time that links and shake hands setting up, ensured real-time and the validity of each module communication and fault detect, improved running efficiency of system.
Between the each module of the present invention, adopt heartbeat frame to detect the busy extent of connection status and module, when in the >80% of the capacity of queue situation that module need be processed, affairs are submitted to other load balancing module, in the time that capacity of queue is full, reject new affairs.
The communication frames definition internal communication stipulations of the each intermodule of the present invention, described internal communication stipulations comprise and show data bang path, internal command number, priority, length and protocol type.The communication frame structure that comprises internal communication stipulations is as shown in table 1, bebinning character, data field length n, data field length n, bebinning character, terminal stipulations, source address, destination address, serial number, priority, command type, warehouse-in mark, answer mark, data field, check code, postamble.
Table 1
The quantity of system thread of the present invention has reserved quota and two kinds of quota configuration modes of elasticity quota restrictions, and wherein reserved quota is the Thread Count that must ensure, elasticity quota is the maximum thread that can be assigned to.
Canonical system configuration as shown in Figure 2, reality can be according to the actual scale of system and customer requirement flexible configuration, and I is deployed on a station server.
Cloud storage of the present invention requirement to data storage according to business, deposit data in variety classes, diverse location or different table space.The compatible multiple Sybase type of database, as Oracle, SQLServer, MySQL etc.
System of the present invention needs compatible multiple stipulations, by returning protocol plug-in mode to realize the scanning of stipulations, and framing and explanation, protocol plug-in provides unified interface function, parameter and normal data dictionary.
System of the present invention needs compatible multiple communication modes, manages dissimilar channel by front end processor communication device, comprises GPRS, CDMA, local area network (LAN), optical fiber, 230M wireless private network etc.Front-end machine is also responsible for the connection management of terminal and the synchronous asynchronous Data Control of transfer of data, and in the time that system increases a channel or linking number and is greater than 40,000, system can be expanded a front-end machine from resource pool automatically.So, according to the resource of a standard server, the performance requirement of system to data acquisition, the design capacity of software, between Cost And Performance, find so rational balance point.Like this client guarantee system to the basic premise of data acquisition performance under, make each collection point spend in cost on front end processor server and reach minimum.
System thread of the present invention is with priority control, the high order priority treatment of priority; The quantity of every kind of thread has two kinds of quota configuration modes, and one is reserved quota, and one is elasticity quota restrictions, and reserved quota is the Thread Count that must ensure, elasticity quota is the maximum thread that can be assigned to.Thread pool provides external interface, and the current state of thread pool is provided, and comprises idle line number of passes, busy Thread Count etc.;
The data acquisition step of system of the present invention is:
A) send instructions when communication module receives under main website interface or background task, instruction adds transmit queue and according to issuing the communication protocol type that object is supported, calls stipulations and explains that carrying out framing forms concrete message and return to communication module;
B) communication module is receiving after acknowledgement frame, simultaneously with in queue under send instructions and mate;
C), after after matched data finishes, call stipulations explanation data are identified, explained;
D) judge that whether these data are the data that need warehouse-in, if these data are the data that need warehouse-in, submit to database processing module and put processing in storage;
E), after data processing finishes, this instruction is deleted from queue, and result is returned to main website interface and background task.
Cloud computing of the present invention is the requirement to data according to business, by ETL instrument and predefined data rule, image data is processed, and calculates, processes, extracts merging and data mining work.
In system of the present invention, intermodule connects, and monitoring flow process is:
A, recipient wait for connection request;
B, transmit leg send connection request;
C, recipient judge whether successful connection after receiving connection request, and successful recipient waits for heartbeat message, the unsuccessful step a that returns;
D, transmit leg timed sending heartbeat message;
E, recipient receive heartbeat message and keep successful connection; If recipient does not receive heartbeat message within maximum time, automatically disconnect, and return to step a.
System made redundancy scheme of the present invention and malfunction monitoring mechanism is as follows: all servers all must be installed the loss of uninterrupted power supply with the loss of data that prevents power failure or voltage instability and cause, main website service starts with service, according to the coupling tightness of function, whole system is divided into relatively independent several generic modules.Can be by the module distribution of different themes in different servers according to the principle that reduces risk, raising reliability.Host server adopts the mode of two main frame shared disk arrays to realize dual computer fault-tolerant.When a main frame is delayed the faults such as machine, access request can be automatically switched to an other standby machine.
System of the present invention adopts initiatively dynamically connected mode, once a certain resource of system breaks down, all modules associated therewith, in wait state, exception error can not occur.In the time that resource recovery is normal, correlation module can be connected with it automatically, need not manually carry out any intervention.
System of the present invention, by the state of different information resources points is formulated to diagnostic rule, detects information resources point dynamically, notes abnormalities in time, preserves as daily record, points out keeper simultaneously, carries out necessary maintenance work.
In system, all servers all must be installed uninterrupted power supply to prevent from having a power failure or the loss of the loss of data that causes of voltage instability.If when true power-off, will not have too much influence, be some strategies below:
● the each module of deployment system starts with service, and in the time of server or backup machine startup, respond services can be moved or take over to system automatically like this.
● according to the coupling tightness of function, whole system is divided into relatively independent a few class subsystems.The subsystem of different themes can be distributed in different servers according to the principle that reduces risk, raising reliability.
● system adopts initiatively dynamically connected mode, once a certain resource of system breaks down, all subsystems associated therewith, in wait state, exception error can not occur.In the time that resource recovery is normal, correlation subsystem can be connected with it automatically, need not manually carry out any intervention.This design, in ensureing system reliable and stable, makes user's manual maintenance be reduced to minimum, isolation has been accomplished in the fault point of whole system simultaneously, is unlikely to cause because of the fault of a system resource paralysis of whole system.
● whether the operation of the information resources point that system relates to normally directly affects the reliability of whole system, each module is furnished with No. ID, each intermodule connects maintenance by heartbeat frame, the frame of heartbeat is simultaneously with error message content, system detects information resources point dynamically, notes abnormalities in time, preserves as daily record, point out keeper simultaneously, carry out necessary maintenance work.
● the each intermodule of system connects maintenance by heartbeat frame, the frame of heartbeat is simultaneously with the module busy extent information content, when the disposal ability of respective modules feedback reach designed capacity 80% time, system is preferentially submitted to other load balancing module by data to be processed need or order.
● when resume module ability reach designed capacity 98% time, module starts local cache mechanism automatically, avoids loss of data, when pending ability drops to 50%, starts to process data cached.
In the time of transfer of data generation off line, each module should be able to be preserved the automatic reported data data of at least 7 days, and waiting can automatic transmission after reply.
As shown in Figure 5, the core of data cache module is DataQueueManage class, be responsible for buffer memory to manage, it is the packet buffer that data process subsystem mails to front end processor that buffer memory is divided into two kinds of buffer memory: ProcessDataQueue, FepDataQueue is the up packet buffer of front end processor, these two kinds of buffer memorys, all with processed, are realized by PriorityBlockingQueue class;
QueueFileHandler timing detects the state of FepDataQueue:
● for reaching the capacity 98% of DataQueue and data process subsystem and all disconnect when, QueueFileHandler is saved in the data in FepDataQueue in file;
● QueueFileHandler processes in two kinds of situation in save data:
● be less than in 50% at the capacity of FepDataQueue, QueueFileHandler returns to the data in file cache in FepDataQueue, attention: if when returning to 90% or the data process subsystem that exceed FepDataQueue capacity and all disconnecting, stop the operation recovering;
For ● prevent from recovering frequently and preserving the operation of file, just the interval that needs judging distance to preserve file last time while recovering data is greater than the operation recovering for 5 minutes.
Application server and preposition communication scheduling server all adopt Clustering, and system automatically switches when ensureing to break down.
Although the present invention is illustrated with reference to accompanying drawing and preferred embodiment,, for a person skilled in the art, the present invention can have various modifications and variations.Various change of the present invention, variation, and equivalent is contained by the content of appending claims.
Claims (13)
1. the cloud framework of an energy efficiency management system, it is characterized in that it comprises data acquisition platform, cloud computing platform, business platform and cloud storage platform, the same business platform of described data acquisition platform, cloud computing platform and cloud storage platform are connected respectively, described cloud computing platform is also connected respectively with cloud storage platform with business platform, and described business platform also connects with cloud storage platform;
Described data acquisition platform comprises multiple preposition communication modules, communication dispatch module, data processing module, timing acquiring and benefit survey module, WEB service module and WebService interface service module; Described multiple preposition communication module is connected with data processing module by communication dispatch module, data processing module is also connected respectively with timing acquiring and benefit survey module, WEB service module, WebService interface service module, and timing acquiring is surveyed module with benefit and is also connected with WEB module;
Described cloud computing platform comprises data processing module, Data Integration module and data-mining module;
Described business platform comprises at least one energy conservation module;
Described cloud storage platform comprises at least one energy conservation database;
Described data acquisition platform, cloud computing platform, business platform, cloud storage platform form by Cloud Server.
2. the cloud framework of a kind of energy efficiency management system according to claim 1, is characterized in that
Described business platform comprises the one or more of forward purchasing electric administration module, line loss administration module, electricity bill control module, ordered electric administration module, dsm module, metering separate module, boiler energy efficiency management module, photovoltaic monitoring system module, enterprise energy administration module.
Described cloud storage platform comprises the one or more of power information management database, metering separate system database, photovoltaic system database, external system database, acquisition platform database.
3. the cloud framework of a kind of energy efficiency management system according to claim 1, it is characterized in that adopting heartbeat frame to detect the busy extent of connection status and module between described each module, when in the >80% of the capacity of queue situation that module need be processed, affairs are submitted to other load balancing module, in the time that capacity of queue is full, reject new affairs.
4. the cloud framework of a kind of energy efficiency management system according to claim 1, it is characterized in that the communication frames definition internal communication stipulations of each intermodule, described internal communication stipulations comprise and show data bang path, internal command number, priority, length and protocol type.
5. the cloud framework of a kind of energy efficiency management system according to claim 4, the communication frame structure that comprises internal communication stipulations described in it is characterized in that is bebinning character, data field length n, data field length n, bebinning character, terminal stipulations, source address, destination address, serial number, priority, command type, warehouse-in mark, answers mark, data field, check code, postamble.
6. the cloud framework of a kind of energy efficiency management system according to claim 1, the quantity that it is characterized in that its system thread has reserved quota and two kinds of quota configuration modes of elasticity quota restrictions, described reserved quota is the Thread Count that must ensure, elasticity quota restrictions are the maximum threads that can be assigned to.
7. the cloud framework of a kind of energy efficiency management system according to claim 1, it is characterized in that described preposition communication module is taking every 40,000 efficiency collection points as unit automatic adaptation, in the time that system increases channel or linking number and is greater than 40,000, system can be expanded a preposition communication module from resource pool automatically.
8. a cloud framework operation method for energy efficiency management system, is characterized in that connecting by communication network between the each module of system, adopts the long connected mode communication of Soocket, and it comprises:
A data acquisition step,
A data allocation schedule step,
A data processing step,
Data extendable and recycling step,
The cloud computing step of Data Integration and data mining,
An energy efficiency management steps in decision-making of carrying out for data,
A data cloud storing step,
Described data allocations scheduling step, data processing step, Data Dynamic expansion and recycling step, Data Integration and data mining step, energy efficiency management steps in decision-making, data cloud storing step all complete by Cloud Server.
9. the cloud framework operation method of a kind of energy efficiency management system according to claim 8, is characterized in that described system data acquisition step is:
A) send instructions when communication module receives under main website interface or background task, instruction adds transmit queue and according to issuing the communication protocol type that object is supported, calls stipulations and explains that carrying out framing forms concrete message and return to communication module;
B) communication module is receiving after acknowledgement frame, simultaneously with in queue under send instructions and mate;
C), after after matched data finishes, call stipulations explanation data are identified, explained;
D) judge that whether these data are the data that need warehouse-in, if these data are the data that need warehouse-in, submit to database processing module and put processing in storage;
E), after data processing finishes, this instruction is deleted from queue, and result is returned to main website interface and background task.
10. the cloud framework operation method of a kind of energy efficiency management system according to claim 8, is characterized in that between the each module of system, carrying out module connects testing process, and detecting step is:
A, recipient wait for connection request;
B, transmit leg send connection request;
C, recipient judge whether successful connection after receiving connection request, and successful recipient waits for heartbeat message, the unsuccessful step a that returns;
D, transmit leg timed sending heartbeat message;
E, recipient receive heartbeat message and keep successful connection; If recipient does not receive heartbeat message within maximum time, automatically disconnect, and return to step a.
The cloud framework operation method of 11. a kind of energy efficiency management systems according to claim 8, it is characterized in that the initiatively dynamic connected mode of employing between system module, when a certain module of system breaks down, all modules associated with it are all in wait state; After this module recovery is normal, the module being associated connects with it automatically.
The cloud framework operation method of 12. a kind of energy efficiency management systems according to claim 8, it is characterized in that system passes through the state of different operational modules to formulate diagnostic rule, dynamically operational module is detected, note abnormalities in time, preserve as daily record, point out keeper simultaneously, carry out necessary maintenance work.
The cloud framework operation method of 13. a kind of energy efficiency management systems according to claim 8, is characterized in that each module has the data hold function of certain hour in the time of transfer of data generation off line, carries out automatic continuous biography after module recovery work.
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| CN110376971A (en) * | 2018-04-12 | 2019-10-25 | 罗尼尔(天津)智能电力科技发展有限公司 | A kind of energy efficiency management system |
| CN108763970A (en) * | 2018-05-07 | 2018-11-06 | 苏州德姆斯信息技术有限公司 | Embedded device data store system and store method |
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| CN111327116A (en) * | 2020-03-23 | 2020-06-23 | 浙江同济科技职业学院 | Micro-grid energy storage control system and method and intelligent terminal |
| CN113938377A (en) * | 2020-07-10 | 2022-01-14 | 成都鼎桥通信技术有限公司 | Fault diagnosis method, device and equipment for private network terminal |
| CN113938377B (en) * | 2020-07-10 | 2023-11-21 | 成都鼎桥通信技术有限公司 | Private network terminal fault diagnosis method, device and equipment |
| CN113946528A (en) * | 2020-07-16 | 2022-01-18 | 华为技术有限公司 | Method and device for switching system architecture |
| CN112290676A (en) * | 2020-10-20 | 2021-01-29 | 中腾微网（北京）科技有限公司 | Photovoltaic power station control system combining field data and cloud storage system |
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Address after: Qidong City, Jiangsu province 226200 Nantong City Lin Yang Lu No. 666 Applicant after: JIANGSU LINYANG ENERGY CO., LTD. Applicant after: Nanjing Linyang Electric Power Technology Co.,Ltd. Address before: Qidong City, Jiangsu province 226200 Nantong City Lin Yang Lu No. 666 Applicant before: Jiangsu Linyang Electronics Co., Ltd. Applicant before: Nanjing Linyang Electric Power Technology Co.,Ltd. |
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