CN107426268A - A kind of solar energy intelligent control method and system based on cloud computing - Google Patents

A kind of solar energy intelligent control method and system based on cloud computing Download PDF

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Publication number
CN107426268A
CN107426268A CN201710160859.2A CN201710160859A CN107426268A CN 107426268 A CN107426268 A CN 107426268A CN 201710160859 A CN201710160859 A CN 201710160859A CN 107426268 A CN107426268 A CN 107426268A
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heat
exchange system
data
service
intellectual analysis
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Inventor
邱小群
马维旻
高健
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Zhuhai City Polytechnic (zhcpt)
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Zhuhai City Polytechnic (zhcpt)
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    • 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
    • H04L67/02Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
    • H04L67/025Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00Network architectures or network communication protocols for network security
    • H04L63/04Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks
    • H04L63/0428Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks wherein the data content is protected, e.g. by encrypting or encapsulating the payload
    • H04L63/0435Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks wherein the data content is protected, e.g. by encrypting or encapsulating the payload wherein the sending and receiving network entities apply symmetric encryption, i.e. same key used for encryption and decryption
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00Network architectures or network communication protocols for network security
    • H04L63/04Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks
    • H04L63/0428Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks wherein the data content is protected, e.g. by encrypting or encapsulating the payload
    • H04L63/0442Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks wherein the data content is protected, e.g. by encrypting or encapsulating the payload wherein the sending and receiving network entities apply asymmetric encryption, i.e. different keys for encryption and decryption
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00Network architectures or network communication protocols for network security
    • H04L63/08Network architectures or network communication protocols for network security for authentication of entities
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00Network architectures or network communication protocols for network security
    • H04L63/08Network architectures or network communication protocols for network security for authentication of entities
    • H04L63/0815Network architectures or network communication protocols for network security for authentication of entities providing single-sign-on or federations
    • 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
    • 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
    • H04L67/1097Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/50Network services
    • H04L67/51Discovery or management thereof, e.g. service location protocol [SLP] or web services

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Computer Security & Cryptography (AREA)
  • Computer Hardware Design (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Telephonic Communication Services (AREA)
  • Heat-Pump Type And Storage Water Heaters (AREA)

Abstract

The invention discloses a kind of solar energy intelligent control method based on cloud computing and system, method to include:The data of measurement are simultaneously sent to cloud server by the required data of heat-exchange system measurement;The data that cloud server measures according to heat-exchange system carry out intellectual analysis, to obtain the operation information of heat-exchange system and control parameter;The control parameter of heat-exchange system is returned to heat-exchange system by cloud server, and remote control is carried out to exchange hot systems.Hot systems are exchanged present invention employs the mode of cloud server remote control and carry out intelligent control, more flexibly;Cloud server constructs the intelligent control framework being made up of infrastructure layer, podium level and software application layer, the PaaS services that podium level provides include Solar Data parallel processing service, user identity unified certification service and complex encryption service based on MapReduce, improve the data-handling efficiency and security of solar energy system.It the composite can be widely applied to field of solar energy.

Description

A kind of solar energy intelligent control method and system based on cloud computing
Technical field
The invention belongs to field of solar energy, more particularly to a kind of solar energy intelligent control method based on cloud computing and it is System.
Background technology
In order to realize economic and society sustainable development, reduce because the environmental pollution brought using fossil energy is asked Topic, seeks the new energy, and particularly free of contamination clean energy resource has turned into the focus of present people research.Solar energy is that one kind takes Clean energy resource nexhaustible not to the utmost, and stock number is huge, and the solar radiant energy total amount that earth surface is received every year is 1 × 1018KWh, more than 10,000 times that gross energy is consumed for world's year.Countries in the world are all using solar energy by the use of being used as new energy development Important one, the Chinese government exists《The government work report》Also clearly propose actively to develop new energy, wherein solar energy already Utilization especially in occupation of prominent position.It is small that tellurian energy density is reached yet with solar radiation(Every square metre about one Kilowatt), and be discontinuous again, this brings certain difficulty to large-scale utilization.Therefore, in order to utilize the sun extensively Can, not only to solve technical problem, and economically must be able to same conventional energy resource and mutually compete.The utilization of solar energy is main There are these three forms of photothermal conversion, photoelectric conversion, Photochemical convertion.Compared to solar photovoltaic industry and the height of Photochemical convertion High cost and low energy conversion efficiency, solar heat conversion are that a kind of energy conversion efficiency and utilization rate are high and cost is low Solar use mode that is honest and clean, being widely popularized in the whole society.
Traditional solar energy system includes home server.Home server receives the information that controller is sent, and passes through this The operating scheme that pre-set control programs and parameter obtain in ground server, the operating scheme that controller obtains according to home server Residual heat system operation is controlled, i.e. the operation of solar energy system can only obtain according to default control program and parameter in home server The operating scheme operation arrived.However, the field conditions of system are complicated and changeable, when the operating scheme that home server obtains can not expire , it is necessary to which attendant arrives at the control program and parameter of scene renewal home server, so as to this during the demand of sufficient field conditions Ground server is met the operating scheme of field conditions, can not neatly adjust control program and ginseng in home server Number, very flexible.In addition, the data-handling efficiency and security performance of traditional solar energy system also need to be further improved.
The content of the invention
In order to solve the above technical problems, it is an object of the invention to:A kind of flexible, efficiency high and safety are provided, are based on The solar energy intelligent control method of cloud computing.
Another object of the present invention is to:A kind of flexible, efficiency high and safety, the solar energy intelligence based on cloud computing are provided Can control system.
The technical solution used in the present invention is:
A kind of solar energy intelligent control method based on cloud computing, comprises the following steps:
The data of measurement are simultaneously sent to cloud server by the required data of heat-exchange system measurement;
The data that cloud server measures according to heat-exchange system carry out intellectual analysis, to obtain the operation information of heat-exchange system and control Parameter processed;
The control parameter of heat-exchange system is returned to heat-exchange system by cloud server, and remote control is carried out to exchange hot systems;
The cloud server constructs the intelligent control framework being made up of infrastructure layer, podium level and software application layer, its In, infrastructure layer obtains the data of heat-exchange system measurement by internet, and infrastructure layer employs server cluster simultaneously Virtualized by virtual machine, additionally use distributed memory system and big data management system to store and manage number According to provide the IaaS services with hardware support ability for podium level;Podium level provides PaaS services, and is software application layer An application programming interface for calling is provided, the PaaS services include the Solar Data based on MapReduce simultaneously Row processing service, user identity unified certification service, complex encryption service, the service of backup disaster tolerance, load balancing service and interface Service;Software application layer carries out intellectual analysis, the intellectual analysis by the service of application programming interface calling platform layer The trouble hunting strategy of running state analysis, heat-exchange system including heat-exchange system is determined, the control authority of heat-exchange system is distributed, The control parameter of heat-exchange system is set and the adjustment of the control parameter of heat-exchange system.
Further, the data of the heat-exchange system measurement include inflow temperature, leaving water temperature, the intensity of sunshine, water pump Power and upper water flow velocity, the server cluster are Hadoop server clusters, and the virtual machine is using (SuSE) Linux OS Xen virtual machines, the distributed memory system are HDFS storage systems, and the big data management system is HBase data managements System, the operation information of the heat-exchange system includes the data of heat-exchange system measurement and the running status of heat-exchange system, described to change The running status of hot systems includes normal condition and malfunction.
Further, the software application layer calls the solar energy number based on MapReduce by application programming interface The step for carrying out intellectual analysis is serviced according to parallel processing, it includes:
Software application layer directly reads required key-value pair, institute by application programming interface from HBase data management systems State required key-value pair<Key1, key2, key3;value>Middle key1, key2 and key3 merge into key assignments a key, key1 The data type of measurement, key2 are intellectual analysis classification, and key3 is the good SVM classifier parameter of training in advance, and value value is one Intellectual analysis result data corresponding to individual intellectual analysis classification;
According to the key-value pair of reading, intellectual analysis is carried out using MapReduce functions, obtains the result data of intellectual analysis.
Further, the user identity unified certification service includes single-sign-on services and user authentication service, the list Put login service to realize by user browser, application system server and certificate server, the user authentication service Realized by certificate manager, buffer and application manager.
Further, the complex encryption service includes symmetric cryptography service and asymmetric encryption service.
Further, in addition to the operation information of heat-exchange system is uploaded to intelligent mobile terminal, Yi Jiyun by cloud server The step of control parameter for the control parameter exchange hot systems that end server inputs according to intelligent mobile terminal is configured.
Another technical scheme for being taken of the present invention is:
A kind of solar energy intelligence control system based on cloud computing, including:
Collection and sending module, for the data needed for heat-exchange system measurement and the data of measurement are sent to cloud server;
Intelligent analysis module, the data measured for cloud server according to heat-exchange system carry out intellectual analysis, to be exchanged heat The operation information and control parameter of system;
Control parameter returns to module, and the control parameter of heat-exchange system is returned into heat-exchange system for cloud server, with exchange Hot systems carry out remote control;
The cloud server constructs the intelligent control framework being made up of infrastructure layer, podium level and software application layer, its In, infrastructure layer obtains the data of heat-exchange system measurement by internet, and infrastructure layer employs server cluster simultaneously Virtualized by virtual machine, additionally use distributed memory system and big data management system to store and manage number According to provide the IaaS services with hardware support ability for podium level;Podium level provides PaaS services, and is software application layer An application programming interface for calling is provided, the PaaS services include the Solar Data based on MapReduce simultaneously Row processing service, user identity unified certification service, complex encryption service, the service of backup disaster tolerance, load balancing service and interface Service;Software application layer carries out intellectual analysis, the intellectual analysis by the service of application programming interface calling platform layer The trouble hunting strategy of running state analysis, heat-exchange system including heat-exchange system is determined, the control authority of heat-exchange system is distributed, The control parameter of heat-exchange system is set and the adjustment of the control parameter of heat-exchange system.
Further, the data of the heat-exchange system measurement include inflow temperature, leaving water temperature, the intensity of sunshine, water pump Power and upper water flow velocity, the server cluster are Hadoop server clusters, and the virtual machine is using (SuSE) Linux OS Xen virtual machines, the distributed memory system are HDFS storage systems, and the big data management system is HBase data managements System, the operation information of the heat-exchange system includes the data of heat-exchange system measurement and the running status of heat-exchange system, described to change The running status of hot systems includes normal condition and malfunction.
Further, the intelligent analysis module is called by application programming interface in software application layer and is based on When MapReduce Solar Data parallel processing service carries out intellectual analysis, following operate will be carried out successively:
Software application layer directly reads required key-value pair, institute by application programming interface from HBase data management systems State required key-value pair<Key1, key2, key3;value>Middle key1, key2 and key3 merge into key assignments a key, key1 The data type of measurement, key2 are intellectual analysis classification, and key3 is the good SVM classifier parameter of training in advance, and value value is one Intellectual analysis result data corresponding to individual intellectual analysis classification;
According to the key-value pair of reading, intellectual analysis is carried out using MapReduce functions, obtains the result data of intellectual analysis.
Further, the complex encryption service includes symmetric cryptography service and asymmetric encryption service.
The beneficial effects of the method for the present invention is:Including the data needed for heat-exchange system measurement and the data of measurement are sent To cloud server, the data that cloud server measures according to heat-exchange system carry out intellectual analysis, to obtain the fortune of heat-exchange system The control parameter of heat-exchange system is returned to heat-exchange system by row information and control parameter, cloud server, is entered with exchanging hot systems The step of row remote control, the mode for employing cloud server remote control exchanges hot systems progress intelligent control, with tradition Heat-exchange system mode based on home server is compared, more flexibly;Cloud server is constructed by infrastructure layer, podium level With the intelligent control framework of software application layer composition, the PaaS services that podium level provides include the solar energy based on MapReduce Parallel data processing service, user identity unified certification service and complex encryption service, pass through the solar energy based on MapReduce Parallel data processing service improves the data-handling efficiency of solar energy system, and by Unified Identification service and it is compound plus Close service improves the security of solar energy system.
The beneficial effect of system of the present invention is:Returned including gathering with sending module, intelligent analysis module and control parameter Module is returned, the mode for employing cloud server remote control exchanges hot systems progress intelligent control, with tradition based on local clothes The heat-exchange system mode of business device is compared, more flexibly;In cloud intelligent analysis module high in the clouds server construction by infrastructure layer, The intelligent control framework of podium level and software application layer composition, the PaaS services that podium level provides are included based on MapReduce's Solar Data parallel processing service, user identity unified certification service and complex encryption service, by based on MapReduce's Solar Data parallel processing service improves the data-handling efficiency of solar energy system, and by Unified Identification service and Complex encryption service improves the security of solar energy system.
Brief description of the drawings
Fig. 1 is the intelligent control framework of cloud server of the present invention;
Fig. 2 is a kind of overall flow figure of the solar energy intelligent control method based on cloud computing of the present invention.
Embodiment
Referring to Figures 1 and 2, a kind of solar energy intelligent control method based on cloud computing, comprises the following steps:
The data of measurement are simultaneously sent to cloud server by the required data of heat-exchange system measurement;
The data that cloud server measures according to heat-exchange system carry out intellectual analysis, to obtain the operation information of heat-exchange system and control Parameter processed;
The control parameter of heat-exchange system is returned to heat-exchange system by cloud server, and remote control is carried out to exchange hot systems;
The cloud server constructs the intelligent control framework being made up of infrastructure layer, podium level and software application layer, its In, infrastructure layer obtains the data of heat-exchange system measurement by internet, and infrastructure layer employs server cluster simultaneously Virtualized by virtual machine, additionally use distributed memory system and big data management system to store and manage number According to provide the IaaS services with hardware support ability for podium level;Podium level provides PaaS services, and is software application layer An application programming interface for calling is provided, the PaaS services include the Solar Data based on MapReduce simultaneously Row processing service, user identity unified certification service, complex encryption service, the service of backup disaster tolerance, load balancing service and interface Service;Software application layer carries out intellectual analysis, the intellectual analysis by the service of application programming interface calling platform layer The trouble hunting strategy of running state analysis, heat-exchange system including heat-exchange system is determined, the control authority of heat-exchange system is distributed, The control parameter of heat-exchange system is set and the adjustment of the control parameter of heat-exchange system.
Be further used as preferred embodiment, the data of the heat-exchange system measurement include inflow temperature, leaving water temperature, Intensity, pump power and the upper water flow velocity of sunshine, the server cluster are Hadoop server clusters, and the virtual machine is adopted With the Xen virtual machines of (SuSE) Linux OS, the distributed memory system is HDFS storage systems, the big data management system Unite includes the data and heat-exchange system of heat-exchange system measurement for HBase data management systems, the operation information of the heat-exchange system Running status, the running status of the heat-exchange system includes normal condition and malfunction.
Preferred embodiment is further used as, the software application layer is called by application programming interface and is based on The step for MapReduce Solar Data parallel processing service carries out intellectual analysis, it includes:
Software application layer directly reads required key-value pair, institute by application programming interface from HBase data management systems State required key-value pair<Key1, key2, key3;value>Middle key1, key2 and key3 merge into key assignments a key, key1 The data type of measurement, key2 are intellectual analysis classification, and key3 is the good SVM classifier parameter of training in advance, and value value is one Intellectual analysis result data corresponding to individual intellectual analysis classification;
According to the key-value pair of reading, intellectual analysis is carried out using MapReduce functions, obtains the result data of intellectual analysis.
Preferred embodiment is further used as, the user identity unified certification service includes single-sign-on services and use Family authentication service, the single-sign-on services are realized by user browser, application system server and certificate server, The user authentication service is realized by certificate manager, buffer and application manager.
Preferred embodiment is further used as, the complex encryption service includes symmetric cryptography service and asymmetric encryption Service.
Preferred embodiment is further used as, in addition to the operation information of heat-exchange system is uploaded to intelligence by cloud server Can mobile terminal, and the control parameter that input according to intelligent mobile terminal of cloud server exchanges the control parameters of hot systems and enters The step of row is set.
Referring to Figures 1 and 2, a kind of solar energy intelligence control system based on cloud computing, including:
Collection and sending module, for the data needed for heat-exchange system measurement and the data of measurement are sent to cloud server;
Intelligent analysis module, the data measured for cloud server according to heat-exchange system carry out intellectual analysis, to be exchanged heat The operation information and control parameter of system;
Control parameter returns to module, and the control parameter of heat-exchange system is returned into heat-exchange system for cloud server, with exchange Hot systems carry out remote control;
The cloud server constructs the intelligent control framework being made up of infrastructure layer, podium level and software application layer, its In, infrastructure layer obtains the data of heat-exchange system measurement by internet, and infrastructure layer employs server cluster simultaneously Virtualized by virtual machine, additionally use distributed memory system and big data management system to store and manage number According to provide the IaaS services with hardware support ability for podium level;Podium level provides PaaS services, and is software application layer An application programming interface for calling is provided, the PaaS services include the Solar Data based on MapReduce simultaneously Row processing service, user identity unified certification service, complex encryption service, the service of backup disaster tolerance, load balancing service and interface Service;Software application layer carries out intellectual analysis, the intellectual analysis by the service of application programming interface calling platform layer The trouble hunting strategy of running state analysis, heat-exchange system including heat-exchange system is determined, the control authority of heat-exchange system is distributed, The control parameter of heat-exchange system is set and the adjustment of the control parameter of heat-exchange system.
Be further used as preferred embodiment, the data of the heat-exchange system measurement include inflow temperature, leaving water temperature, Intensity, pump power and the upper water flow velocity of sunshine, the server cluster are Hadoop server clusters, and the virtual machine is adopted With the Xen virtual machines of (SuSE) Linux OS, the distributed memory system is HDFS storage systems, the big data management system Unite includes the data and heat-exchange system of heat-exchange system measurement for HBase data management systems, the operation information of the heat-exchange system Running status, the running status of the heat-exchange system includes normal condition and malfunction.
Preferred embodiment is further used as, the intelligent analysis module passes through application programming in software application layer When Solar Data parallel processing service of the interface interchange based on MapReduce carries out intellectual analysis, following grasp will be carried out successively Make:
Software application layer directly reads required key-value pair, institute by application programming interface from HBase data management systems State required key-value pair<Key1, key2, key3;value>Middle key1, key2 and key3 merge into key assignments a key, key1 The data type of measurement, key2 are intellectual analysis classification, and key3 is the good SVM classifier parameter of training in advance, and value value is one Intellectual analysis result data corresponding to individual intellectual analysis classification;
According to the key-value pair of reading, intellectual analysis is carried out using MapReduce functions, obtains the result data of intellectual analysis.
Preferred embodiment is further used as, the complex encryption service includes symmetric cryptography service and asymmetric encryption Service.
The present invention is further explained and illustrated with reference to Figure of description and specific embodiment.
Embodiment one
For prior art very flexible, the problem of data-handling efficiency and security performance need to be further improved, the present invention Propose a kind of brand-new, solar energy intelligent control method and system based on cloud computing.
The solar energy system of the present invention includes heat-exchange system, collecting system and water pump, and heat-exchange system is provided with heat exchanger and control Device processed, collecting system are provided with heat collector, collecting system and water pump heat-exchange system and collecting system and carry out heat friendship by heat exchanger Change.Wherein, controller, for by the data of measurement(Including inflow temperature, leaving water temperature, the intensity of sunshine, pump power and Upper water flow velocity etc., it can be measured by sensor)Cloud server is sent to, and is remotely controlled according to the control parameter of return The control parameter of heat-exchange system processed(Including control water temperature, flow velocity and pump power etc.).Heated after heat collector absorption solar energy Hot water enters heat exchanger, and the water in cold-water return pipe in heating heat exchanger, the backwater after heat exchange is returned to by water pump Posterior circle Heat collector.
The specific implementation process of solar energy intelligent control method of the invention based on cloud computing comprises the following steps:
(One)Data needed for heat-exchange system measurement(Including inflow temperature, leaving water temperature, the intensity of sunshine, pump power and Upper water flow velocity etc., it can be measured by sensor)And the data of measurement are sent to by high in the clouds by networks such as internets and taken Business device.
The cloud server of the present invention constructs the intelligent control being made up of infrastructure layer, podium level and software application layer Framework simultaneously obtains the data that heat-exchange system measures by infrastructure layer.
The intelligent control framework of the present invention is as shown in figure 1, it is made up of infrastructure layer, podium level and software application layer.
Wherein, infrastructure layer is the set of hardware resource after virtualization and related management function, passes through virtualization Technology is abstracted to hardware resources such as computer, storage device and the network equipments, so as to be provided dynamically, flexibly to outside IaaS solar energy intelligent data services and be upper strata(That is podium level and software application layer)The support of hardware capabilities is provided.Entering During row solar energy intelligent control, infrastructure layer can use server cluster(Such as Hadoop server clusters), by virtual machine (Such as the Xen virtual machines of (SuSE) Linux OS)The virtualization of resource is realized, and uses distributed redundant storage system(Such as HDFS storage systems)And the big data management mode based on row storage(Big data such as HBase data management systems manages mould Formula)To store and manage data, the reliability of solar energy intelligence control system data and efficiently management ensure that.Infrastructure layer Virtualization and versatility using cloud computing, hardware resource virtualization is transparent to upper strata, upper strata is concerned about bottom hardware The address location of resource and Heterogeneity, with the IaaS solar energy intelligent data services for easily using bottom to provide.
Platform layer building is the set of the software resource with versatility and reusability on infrastructure layer, main The exploitation test environment service such as platform application software or application programming interface (API) is provided, including based on MapReduce Solar Data parallel processing service, user identity unified certification service, complex encryption service, the service of backup disaster tolerance, load Balancing service and interface service.These services all expose one to the software application layer on upper strata and can entered by modes such as Web The API that row calls, details, troubleshooting etc. are implemented to hide bottom, make to apply the positive energy for more paying close attention to user in exploitation Intelligent control demand for services.All interface interchanges provide all in the form of a kind of serviceization, and interface service can act also as the 3rd Square developer and the entrance of application.Wherein, the Solar Data parallel processing service based on MapReduce provides the service of calculating And data, services, user identity unification authentication platform provide user authentication service and single-sign-on services, complex encryption service Symmetric cryptography service and asymmetric encryption service are provided.
Software application layer building is the set of solar energy intelligent control application software on podium level.User can be straight The solar energy intelligent control application software of this layer is asked in receiving, it is not necessary to locally-installed.The solar energy of software application layer is intelligently controlled Application software processed carries out intellectual analysis by the service of application programming interface calling platform layer, and intellectual analysis then includes changing The running state analysis of hot systems, the trouble hunting strategy of heat-exchange system are determined, the control authority of heat-exchange system is distributed, heat exchange system The control parameter of system is set and the adjustment of the control parameter of heat-exchange system.Wherein, the running status normal condition of heat-exchange system and Malfunction.The trouble hunting strategy of heat-exchange system determines according to specific defect content(Such as water can not be gone up, then failure is examined Strategy is repaiied to check whether water supply valve door is opened or whether water supply pipeline damages).The control authority distribution of heat-exchange system, can basis Actual needs for different users(Such as producer, commonly used person and owner)Different access rights are provided, with increase The security of system.The control parameter of heat-exchange system, intelligent mobile terminal can be passed through according to user(Such as mobile phone)The control of input Parameter processed is configured, i.e., the control parameter that user inputs can be returned to heat exchange system by intelligent mobile terminal through cloud server System.The control parameter of heat-exchange system can also be according to the SVM classifier and heat exchange system trained beforehand through historical data sample The real-time control parameter data of system are adjusted.SVM classifier can be trained using neural network algorithm.
(Two)The data that cloud server measures according to heat-exchange system carry out intellectual analysis, to obtain the operation of heat-exchange system Information and control parameter.
The process is mainly completed by software application layer by the service of application programming interface calling platform layer.It is soft The main process that part application layer carries out intellectual analysis by the service of application programming interface calling platform layer includes:
(1)Software application layer directly reads required key-value pair by application programming interface from HBase data management systems, The required key-value pair<Key1, key2, key3;value>Middle key1, key2 and key3 merge into key assignments a key, key1 For the data type of measurement, key2 is intellectual analysis classification, and key3 is the good SVM classifier parameter of training in advance, and value value is Intellectual analysis result data corresponding to one intellectual analysis classification.Wherein, the data type of measurement includes temperature(Such as enter water temperature Degree, leaving water temperature), power(Such as pump power), intensity(Such as the intensity of sunshine)And flow velocity(As above water flow velocity)Deng.Intelligence point Analysing classification includes the running state analysis of heat-exchange system, the trouble hunting strategy determination of heat-exchange system, the control of heat-exchange system Limit distribution, the control parameter of heat-exchange system are set and the adjustment of the control parameter of heat-exchange system.HBase data management systems use Key-value pair<Key1, key2, key3;value>Such design Storage, can be by the data type of different measurements, different intelligence The solar energy intelligent data discretization under classification and different SVM classifier parameters can be analyzed, is established for stratification parallel computation Basis is determined.
(2)According to the key-value pair of reading, call MapReduce functions to carry out parallel processing, obtain the result of intellectual analysis Data.
In order to further improve the processing speed and treatment effeciency of Solar Data in intelligent control, the present invention has continued to use biography The MapReduce programming mechanisms of system carry out intellectual analysis.And traditional MapReduce programming mechanisms are divided into Map and Reduce This 2 stages.
In order to reduce the certification work amount of solar energy intelligence control system, the present invention have also been devised based on single-sign-on and use The user identity unified certification service of family certification, realizing user, once certification can log in the target of all application systems.It is single Point login service and user authentication service are based on WEB network services.Wherein, single-sign-on services by user browser, should Realized with system server and certificate server, and user authentication service then passes through certificate manager, buffer and application Manager is realized.In single-sign-on services, if user had logged in the solar energy intelligence control system, it is directly entered; If not logging in the solar energy intelligence control system, the authority information of solar energy intelligence control system access authentication service offer, The user name of record is determined whether, does not start login prompt then, has, be directly entered, and the use is recorded by the Member Systems Family information.And user authentication service then determines the identity of user by the information of the representative capacities such as the list submitted according to user.
And in order to further improve the security of intelligence control system, the present invention additionally uses the side of complex encryption communication Processing can be just encrypted and decrypted, it is necessary to input correct symmetric cryptographic key and asymmetric cryptographic key simultaneously in formula.
(Three)The operation information of heat-exchange system is uploaded to intelligent mobile terminal by cloud server, and cloud server will The control parameter of heat-exchange system returns to heat-exchange system, and remote control is carried out to exchange hot systems.
Above is the preferable implementation to the present invention is illustrated, but the present invention is not limited to the embodiment, ripe A variety of equivalent variations or replacement can also be made on the premise of without prejudice to spirit of the invention by knowing those skilled in the art, this Equivalent deformation or replacement are all contained in the application claim limited range a bit.

Claims (10)

  1. A kind of 1. solar energy intelligent control method based on cloud computing, it is characterised in that:Comprise the following steps:
    The data of measurement are simultaneously sent to cloud server by the required data of heat-exchange system measurement;
    The data that cloud server measures according to heat-exchange system carry out intellectual analysis, to obtain the operation information of heat-exchange system and control Parameter processed;
    The control parameter of heat-exchange system is returned to heat-exchange system by cloud server, and remote control is carried out to exchange hot systems;
    The cloud server constructs the intelligent control framework being made up of infrastructure layer, podium level and software application layer, its In, infrastructure layer obtains the data of heat-exchange system measurement by internet, and infrastructure layer employs server cluster simultaneously Virtualized by virtual machine, additionally use distributed memory system and big data management system to store and manage number According to provide the IaaS services with hardware support ability for podium level;Podium level provides PaaS services, and is software application layer An application programming interface for calling is provided, the PaaS services include the Solar Data based on MapReduce simultaneously Row processing service, user identity unified certification service, complex encryption service, the service of backup disaster tolerance, load balancing service and interface Service;Software application layer carries out intellectual analysis, the intellectual analysis by the service of application programming interface calling platform layer The trouble hunting strategy of running state analysis, heat-exchange system including heat-exchange system is determined, the control authority of heat-exchange system is distributed, The control parameter of heat-exchange system is set and the adjustment of the control parameter of heat-exchange system.
  2. A kind of 2. solar energy intelligent control method based on cloud computing according to claim 1, it is characterised in that:It is described to change The data of hot systems measurement include inflow temperature, leaving water temperature, the intensity of sunshine, pump power and upper water flow velocity, the clothes Business device cluster is Hadoop server clusters, and the virtual machine uses the Xen virtual machines of (SuSE) Linux OS, the distribution Storage system is HDFS storage systems, and the big data management system is HBase data management systems, the fortune of the heat-exchange system Row information includes the data of heat-exchange system measurement and the running status of heat-exchange system, and the running status of the heat-exchange system is included just Normal state and malfunction.
  3. A kind of 3. solar energy intelligent control method based on cloud computing according to claim 2, it is characterised in that:It is described soft Part application layer calls the Solar Data parallel processing service based on MapReduce to carry out intelligence by application programming interface The step for analysis, it includes:
    Software application layer directly reads required key-value pair, institute by application programming interface from HBase data management systems State required key-value pair<Key1, key2, key3;value>Middle key1, key2 and key3 merge into key assignments a key, key1 The data type of measurement, key2 are intellectual analysis classification, and key3 is the good SVM classifier parameter of training in advance, and value value is one Intellectual analysis result data corresponding to individual intellectual analysis classification;
    According to the key-value pair of reading, intellectual analysis is carried out using MapReduce functions, obtains the result data of intellectual analysis.
  4. A kind of 4. solar energy intelligent control method based on cloud computing according to claim 1, it is characterised in that:The use Family Unified Identification service includes single-sign-on services and user authentication service, and the single-sign-on services are browsed by user Device, application system server and certificate server realize, the user authentication service by certificate manager, buffer and Application manager is realized.
  5. 5. a kind of solar energy intelligent control method based on cloud computing according to claim any one of 1-4, its feature exist In:The complex encryption service includes symmetric cryptography service and asymmetric encryption service.
  6. 6. a kind of solar energy intelligent control method based on cloud computing according to claim any one of 1-4, its feature exist In:Also include cloud server and the operation information of heat-exchange system be uploaded to intelligent mobile terminal, and cloud server according to The step of control parameter of the control parameter exchange hot systems of intelligent mobile terminal input is configured.
  7. A kind of 7. solar energy intelligence control system based on cloud computing, it is characterised in that:Including:
    Collection and sending module, for the data needed for heat-exchange system measurement and the data of measurement are sent to cloud server;
    Intelligent analysis module, the data measured for cloud server according to heat-exchange system carry out intellectual analysis, to be exchanged heat The operation information and control parameter of system;
    Control parameter returns to module, and the control parameter of heat-exchange system is returned into heat-exchange system for cloud server, with exchange Hot systems carry out remote control;
    The cloud server constructs the intelligent control framework being made up of infrastructure layer, podium level and software application layer, its In, infrastructure layer obtains the data of heat-exchange system measurement by internet, and infrastructure layer employs server cluster simultaneously Virtualized by virtual machine, additionally use distributed memory system and big data management system to store and manage number According to provide the IaaS services with hardware support ability for podium level;Podium level provides PaaS services, and is software application layer An application programming interface for calling is provided, the PaaS services include the Solar Data based on MapReduce simultaneously Row processing service, user identity unified certification service, complex encryption service, the service of backup disaster tolerance, load balancing service and interface Service;Software application layer carries out intellectual analysis, the intellectual analysis by the service of application programming interface calling platform layer The trouble hunting strategy of running state analysis, heat-exchange system including heat-exchange system is determined, the control authority of heat-exchange system is distributed, The control parameter of heat-exchange system is set and the adjustment of the control parameter of heat-exchange system.
  8. A kind of 8. solar energy intelligence control system based on cloud computing according to claim 7, it is characterised in that:It is described to change The data of hot systems measurement include inflow temperature, leaving water temperature, the intensity of sunshine, pump power and upper water flow velocity, the clothes Business device cluster is Hadoop server clusters, and the virtual machine uses the Xen virtual machines of (SuSE) Linux OS, the distribution Storage system is HDFS storage systems, and the big data management system is HBase data management systems, the fortune of the heat-exchange system Row information includes the data of heat-exchange system measurement and the running status of heat-exchange system, and the running status of the heat-exchange system is included just Normal state and malfunction.
  9. A kind of 9. solar energy intelligence control system based on cloud computing according to claim 8, it is characterised in that:The intelligence Energy analysis module calls the Solar Data based on MapReduce to locate parallel in software application layer by application programming interface When reason service carries out intellectual analysis, following operate will be carried out successively:
    Software application layer directly reads required key-value pair, institute by application programming interface from HBase data management systems State required key-value pair<Key1, key2, key3;value>Middle key1, key2 and key3 merge into key assignments a key, key1 The data type of measurement, key2 are intellectual analysis classification, and key3 is the good SVM classifier parameter of training in advance, and value value is one Intellectual analysis result data corresponding to individual intellectual analysis classification;
    According to the key-value pair of reading, intellectual analysis is carried out using MapReduce functions, obtains the result data of intellectual analysis.
  10. A kind of 10. solar energy intelligence control system based on cloud computing according to claim 7,8 or 9, it is characterised in that: The complex encryption service includes symmetric cryptography service and asymmetric encryption service.
CN201710160859.2A 2017-03-17 2017-03-17 A kind of solar energy intelligent control method and system based on cloud computing Pending CN107426268A (en)

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Application publication date: 20171201