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Architecture and Application of Intelligent Heat Network Based on Cloud Platform

Date: 2017-09-21
浏览次数: 74

       The construction of "intelligent heat network" system of heating enterprises has experienced long-term research and accumulation, which has formed a pluralistic system combination, contained several aspects. At present, the information system of thermal enterprises is composed of several subsystems, software associated with production: thermal network automation system, command dispatching system, emergency command, equipment management system, hydraulic calculation, online simulation, GIS geographic information system; software associated with operating management: charging system, financial system, personnel management, purchase-sales-inventory management, customer service system, OA office automation system, meanwhile, with the development of mobile Internet, the mobile APP of corresponding system has been gradually formed. So how to carry on the effective integration, optimize the structure of system, make full use of existing equipment and facilities, avoid waste of resources, this has become the problems which must research and consider during informatization construction.

           At the same time, due to the continuous abundance of the function of the intelligent heat network system, the addition of the number of software and hardware, the various systems have become more and more diversified, gradually, the problems such as the relative independence of each subsystem, the dispersion of the resource equipment, the impact of version upgrading, the failure of data to be effectively shared, and the heterogeneous problems of the technology platform appeared, the effective development of the thermal network system has been restricted and the control of the whole thermal equipment assets has been affected. In terms of IT system investment, in order to realize the new business growth demand, IT is often necessary to increase the input of the hardware, software and network equipment to maintain the normal operation of the system, the large amount of computing resources and computing power are not fully utilized, that results in great waste and greatly reduces the security of the system. Nowadays, cloud computing technology is booming, which solves the bottleneck problem of the development of heat network system.

             1.Cloud computing Architecture Advantage

Cloud computing platform is a kind of technology which takes the network as the carrier, through virtualization technology, virtualizes the computing devices, the network devices, the storage devices and builds into a unified resource pool to provide the service for the group of companies and individuals, and realizes the centralized resource management and dispatch. In this mode, all kinds of resources can achieve the horizontal and unlimited expansion, and can be obtained without the operation of the implementers, can be distributed according to the actual usage. At the same time, facing the higher level, cloud computing can package the functional modules of each subsystem in the intelligent heat network system, and provide the service in the form of the application of the resource equipment, this makes the system modules more structured and easy to orchestrate publishing and unified management.

1.1 Resource Scheduling and Reuse

When a new application is launched in the traditional mode of the thermal enterprise, the usually adopted IT architecture model will purchase or allocate specific hardware and software resources for each application. This can result in a wide variety of hardware and software, large differences, and sometimes even the need to develop a specific interface to integrate, bring many difficulties to each resource. In addition, when allocating resources, to meet the normal use of the application, the number of resources need to be allocated under the maximum load condition of this application. After the maximum load, there is a large amount of idle resources occupied, causing a lot of unnecessary waste. However, cloud computing architecture gathers all kinds of resources to provide services to the application in the form of resource pools, eliminating differentiation. At the same time, cloud computing can automatically flex and scale the allocated resources, it can be used to guarantee the resources required under the maximum load condition and to use the resources as required in a non-peak mode, instead, it invests in more needed applications, improves reuse rate, and saves the cost of equipment.

1.2 System Integration and Rapid Deployment

In the case of system integration or system upgrading in the intelligent heat network system, the business is interrupted under the traditional architecture, new system and network topology are installed manually on server side. Under the cloud architecture, the target system can be packaged and distributed to provide services in the form of cloud host. Building the router, network topology, load balance and the relationship template of each subsystem through the cloud choreography, and releasing the entire intelligent heat network system realizes the second - level deployment, and keeps flexible with all kinds of changes. At the same time, the old business can be transferred seamlessly to the spare resource pool during the release and upgrading process, that ensures the normal operation of the business and switches after the deployment of the new system platform

1.3 High availability of data and services

the traditional environment, the high availability of the intelligent heat network system has been greatly tested, in the environment of complex internal subsystems, thIn e unexpected situation of the power failure of the cabinet and the failure of hard disk equipment can easily lead to the interruption of the business and even the loss of data, and cloud platform's HA (High Available) features greatly enhance the ability to respond to risks. Within the cloud platform, high availability design can be achieved from control to data storage, computing, and even any level of services. The cloud service control layer adopts multi-control node and provides computing services in the form of multi-activity. When any control node fails, other control nodes will take over the previous work of the failure controller. The data storage layer uses ceph technology, abstracts all storage resources into Shared storage and maintains a three-copy state, the loss of any data of storage node can be restored from other nodes through the algorithm to ensure the integrity and consistency of data. Computing level high availability is with the help of Shared storage features, when a node is calculated to drop power or damaged, it automatically drifts the load task to other compute nodes and continues to retrieve data services from Shared storage. The application service level cloud platform has built-in load balancing, listener and other plugins, which can customize various service distribution strategies.

1.4 Data Security

Cloud platform on the basis of the conventional safety, added built-in firewall, security group, cloud hosting, disk encryption key management, strategy management and several layers of security protection, to enhance the security of the system.

1.5 Openness and Compatibility

Cloud platform, as the underlying framework for carrying out all kinds of systems and applications, is supported by the cloud host, which supports almost all the environmental requirements of IT services. In terms of platform construction and heterogeneity, cloud computing can integrate the underlying various manufacturers, technologies and resource devices of different functions into the virtualization level, eliminated the hidden danger of brand and technology monopolization, reduced the complexity of management, realized the unified scheduling management of resources and equipment. At the same time, a cloud platform based on openstack architecture is open to the external Restful API interface, which can be easily interacted with various sub-modules within the intelligent heat network systems, and support the redevelopment of platform level.

2. Intelligent Heat Network System Architecture

The software of the thermal network production monitoring platform has different functions, solves different problems, co-exists and shares data with each other to complete the heating production task. The intelligent heat network system based on the large-scale geographic should have the characteristics of high security and confidentiality, high speed, high reliability, high anti-interference ability, low implementation and operation cost and easy to maintain.

From the network structure analysis, the intelligent heat network system is the standard three-layer network architecture. The first layer is cloud computing platform (heat network surveillance center and data center); The second layer is heat source DCS/ first station/ remote thermal station/ heat network monitoring station; The third layer is the on-site execution part and user side data acquisition terminal. See figure 1 architecture diagram of intelligent heat network system.



基于云计算平台的智能热网系统架构及应用

figure 1 architecture diagram of intelligent heat network system

         The system of intelligent heat network will fully monitor the operation of heat source, pipe network, heat station, hot user and communication network in real time, according to the forecast and change of the heat load of the pipe network, the dispatching heat source should be heated as required to meet the purpose of heating balance and energy saving in the whole network. It is the guarantee of the safe and reliable operation of the heat pipe network.

3.Intelligent heat network cloud platform architecture

      Cloud computing combines with intelligent heat network system to build a cloud platform for intelligent heat network, the internal structure of the cloud Platform system is divided into three layers, namely, the IaaS (Infrastructure - as-a-service) layer, the PaaS (a-a-service) layer and the SaaS (software-as-a-service) layer. The external intelligent heat network cloud platform can be divided into the access layer which provides service to the external, the application layer and supporting layer of the intelligent heat network cloud platform inner, the transmission layer that is responsible for the heat network data and the sensor layer which can get the device information. The overall architecture of intelligent heat network cloud platform is shown in figure 2




基于云计算平台的智能热网系统架构及应用

Figure 2 The overall architecture of intelligent heat network cloud platform


3.1Infrastructure service system architecture

       The Iaas layer of infrastructure services is the bottom support carrier of the smart heat network system business, it also includes physical resource layer, resource virtualization layer, and cloud service management. Its architecture is shown in figure 3

基于云计算平台的智能热网系统架构及应用

                          FIG. 3 infrastructure service system architecture of intelligent heat network cloud platform

(1) Physical resource layer: The physical resource layer refers to the underlying physical resources of computing server clusters, storage clusters, network devices, and so on, can form multi-node resource pool architecture, each node has the ability of the computing, the storage, and network communications.

(2) Resource virtualization layer: The resource virtualization layer is the fundamental technical support of cloud computing, and the computing server, storage cluster and network can be formed into virtual resource pool to support the upper cloud services through virtualization technology. Intelligent heat network cloud platform supports qemu, KVM and other computing virtualization technologies, the storage aspect mainly uses the ceph framework to share storage clusters, the virtualization of the network realizes the second layer to the third layer and above, using multi-tenant and multi-vlan to isolate the network is flexible to construct complex subnet relationships.

       (3) cloud service management layer: Cloud service management is the most critical layer in the Iaas architecture, through cloud service management, users can conduct on-off control, dynamic allocation, permission setting, failure recovery and other management to service. At the same time, the platform can provide users with self-application virtual resources, the heating net staff can edit the virtual architecture of the cloud platform tenants themselves, add/delete deletion server, dispose related parameters, store capacity and types, network topology, and so on.

          3.2Internal service architecture of intelligent heat network cloud platform

On the basis of the IaaS layer, to further combine the cloud platform with the intelligent heat network system, the PaaS layer and the SaaS layer of the intelligent heat network cloud platform are constructed and the various application services of the intelligent heat network system are provided, the service architecture is shown in figure 4.

基于云计算平台的智能热网系统架构及应用


                       Figure4 Intelligent heat network cloud platform service architecture diagram

Cloud platform can be carried out on the intelligent network system for all kinds of application package, offer the built-in cloud platform services for the intelligent network system, such as the database, file sharing, data mining and so on, this is the platform services (Paas) layer. On this service layer, the cloud platform can package and encapsulate the various functional subsystems (thermal network monitoring system, total network balance analysis system, thermal network command scheduling system, climate model expert system, scheduling task order system, thermal network energy consumption analysis system and heating geographic information system) of the intelligent heat network system, which can be published on the cloud platform in the form of services, it is convenient for enterprises to better plan the system module structure, make arrangement and rapid deployment.

3.3Intelligent heat network cloud platform high availability physical architecture

The device is divided by use and role: control node, network node, computing node, storage node and compute storage fusion node. Its physical configuration architecture is shown in figure 5.

(1) Control node: With at least 3 servers to carry the intelligent heat network cloud platform controller, 3 controllers simultaneously provide outer services, and the VRRP is configured to achieve network redundancy and load balancing. In order to prevent the occurrence of cerebral fissures, an odd number control node is adopted to increase the arbitration mechanism, which allows two control nodes to drop the power at the same time; in addition, as shown in the physical framework diagram, the high availability of the cabinet can be achieved through the distribution of sub-cabinets of each node.

(2) Network node: It is usually deployed in a manner that integrates network nodes with control nodes, the network nodes separately can be deployed on the server as shown in the figure, enable the configuration of VRRP to achieve high availability.

(3) Computing node: Whether it is a production network, a storage network or a management network failure, the virtual machine second migration can be triggered to the available compute nodes to ensure high availability of the business.

(4) Storage node: the cloud platform supports the use of local disks of the nodes as OSD to add a distributed, multi-copy Ceph storage pool. Multiple copies will be placed on different nodes of different cabinets, and the failure of a single node will not result in the loss of duplicate data.

(5) computing/ storage fusion node: the cloud platform supports the deployment of computing and storage node integration, this method is beneficial to save server resources, computing service call storage data is more rapid and is applicable to the construction of small and medium-sized cloud platform



基于云计算平台的智能热网系统架构及应用

             Fig.5 physical deployment architecture of intelligent heat network cloud platform

5. Application Examples

In 2016, our company undertook the construction of intelligent thermal network based on Cloud platform in Datong, and adopted the "B-Cloud" Cloud platform architecture of Bei Ming Software Company. The platform is composed of three control nodes, six computing nodes and three replica fault-tolerant mechanisms, realizes distributed dynamic resource allocation and management, global resource load balancing, network and storage virtualization, virtual firewall, fault migration, high availability dynamic resource scheduling and other platform functions.

       Software that has been set up on the platform: PVSS heat network monitoring system, total network balance optimization control system, heat network command scheduling system, thermal network energy consumption analysis system, geographic information system, meter reading system. The mutual cooperation and underlying data sharing of each system are realized. Software to be built in the future: user room temperature detection, intelligent reporting system, heating billing management system, customer service system and mobile APP terminal system. The cold/heat transfer technology was adopted, the failure of any physical server, will not affect the operation of the system.



基于云计算平台的智能热网系统架构及应用

                                                            6. Big Data Analysis

After the completion of cloud computing platform, a large number of online application software systems will generate huge amount of data, these data contain structural data as well as non-structural data, the varieties and types of data are complex, how to effectively utilize and exert positive influence on the safety, scheduling, management and operation of the hot network is the real goal of "smart hot network". The cloud computing platform further analyzes and excavates these complex and logically relevant data into a series of mathematical models, dispatches heat source, heat network, heat station operation to achieve the purpose of energy saving, reducing staff, increasing efficiency.

基于云计算平台的智能热网系统架构及应用

Figure 6 platform structure supported by big data analysis

The big data analysis of "intelligent heat network" can be started from several aspects: 1. Demand side factors: weather conditions, user indoor temperature, user's daily dosage, holiday dosage, building situation, basic historical data, rate of complaint, etc.; 2. Supply side factors: heat source output, heat network security, heat exchange efficiency, equipment situation, etc.; 3. Other factors such as trends, policies, laws and regulations, etc. See figure 6 platform structure supported by big data analysis.

    Conclusion

The efficient intelligent heat network system can help the thermal industry to conduct better and scientific management and control, and intelligent network cloud platform architecture which combines cloud computing technology can solve these problems of the resource management in the process of the past intelligent network system expansion, such as resource dispersion, overall plan difficulty, equipment resources, realize the information and technology upgrading of the thermal energy industry. At the same time, it can combine the platform advantage of cloud computing to bring technological change to the system architecture of the heat network, offer a wider range of upside, meet the practical needs of more complex, changeable and automated in the future, bring the promotion of management level and economic benefits. Due to the author's horizontal limitations, please guide us for the defects.


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