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Application of Urban Heat Network Intelligent System Based on Cloud Platform

Date: 2018-07-05
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Datong Thermal Power Co. Ltd   Li Hua, Han Yunping, Zhang Zhong

Beijing Tianshi Future Automation Engineering Technology Co., Ltd   Li Peng, Zhang Wei

Abstract: The development of internet technology and cloud computing technology has further improved the process of social informatization, greatly enhanced the synergy of information systems, speeded up the upgrading and deepening of the traditional heating automation system. This paper will combine the knowledge of cloud technology and heating information platform, refer to the successful case of a certain city heat supply company and describe the intelligent heat supply information platform in detail.

Key Word: Heating network cloud platform; Heating information; Heating network SCADA; xLink

Chapter One Introduction

1.1 Development of thermal network information system architecture

The construction of the heat network monitoring system has gone through three stages, from the initial partial automation and informatization, to the network-based digitization, and then to the present intelligence. System architecture has also evolved from a traditional pattern messaging based to an enterprise application integration transition architecture into an advanced service-oriented architecture, the development process is shown in figure 1.

 Application of Urban Heat Network Intelligent System Based on Cloud Platform

FIG. 1 schematic diagram of information architecture development of heat network

1.2 Current situation and existing problems of information system of heating enterprises

The information system of heating enterprises has gone through a long construction process and formed the basis of the intelligent heat network platform: Production-related systems include heat network SCADA system, total network balance optimization control system and energy consumption analysis management system, and also include command and dispatch system extended on SCADA, emergency command system, equipment management system, hydraulic calculation system, online simulation system, GIS system, visual graphic management system, thermal measurement and secondary control system; The systems related to operation and management include charge system, customer service system, financial system, personnel management system, purchase and sales inventory management system, OA office automation system.

As each system is independent in both the hardware layer and the data layer, with the expansion of the enterprise's production scale and the improvement of productivity, some systemic problems have gradually emerged in enterprise management, which are mainly reflected in the following aspects:

Each function module unit lack of overall planning

enterprise portal lack of network security architecture

The hardware design of each functional module only considers the requirements of the system, as a result, the server in the computer room has the polarization of insufficient resources and idle resources, hardware resource sharing and load balancing cannot be realized

Enterprise hardware requirements lack standards, plenty of equipment models, messy brands, high/middle/low hardware facilities coexist, maintenance difficulties, resulting in "wooden barrel short board" effect

Without a unified data centralized management system, it is difficult to realize the sharing application of big data.

1.3 Necessity to build a unified information platform for heating enterprises

With the promotion of cloud computing technology, in order to improve the production efficiency of heating enterprises, to reduce the operating costs of enterprises, to respond to the national call for energy conservation and emission reduction, eliminate the phenomenon of "data island" between functional modules, to realize data sharing, it is particularly important to establish a unified information management platform. Therefore, on the premise of network interconnection, by building the cloud platform, the integration of enterprise internal resources can be firstly realized, further extended to the data fusion, finally achieve the enterprise's business integration.

Chapter Two Cloud Platform Architecture

2.1 Introduction to the cloud platform and its infrastructure

The concept of modern cloud computing has been put forward for about 30 years, but only in the last 10 years it has really become large-scale, conceptual and market-oriented. The cloud platform is closely related to our daily life. Sharing traffic, Internet finance, online education, mobile games, WeChat, Alipay, mobile APP and other applications all rely on the support of cloud computing, only in this way the operation and maintenance cost can be greatly reduced and users' orders of magnitude jump can be realized.

Cloud computing is characterized by distributed computing, virtualization, network storage, on-demand usage, and balanced load. Currently, it is generally recognized that cloud architecture is divided into three layers: infrastructure layer (IaaS), platform layer (PaaS) and software service layer (SaaS).

Application of Urban Heat Network Intelligent System Based on Cloud Platform

The cloud platform architecture is shown in figure 2.

2.2 Application of cloud platform in thermal network informatization

Figure 3 shows the application architecture of cloud technology on the intelligent heat supply monitoring platform of a city in China, in the diagram we can see the detailed configuration on the three-tier architecture of the cloud platform.

 Application of Urban Heat Network Intelligent System Based on Cloud Platform

FIG. 3 architecture of intelligent cloud platform for heating in a city

The IaaS layer mainly includes 8 computer servers (3 of which are defined as control nodes and 5 are defined as compute nodes), 1 MBPS interchanger and storage devices, etc., also includes IT infrastructure classes that can provide computing, storage, or network capabilities to users on demand.

Based on the IaaS layer, the PaaS layer is processed in parallel by cloud engine, cloud management, cloud storage, etc., according to the concept of "hardware + operating system/development tools + application software" in traditional computer architecture, according to the requirements of each system module, it provides similar operating systems and development tools for SCADA system, GIS system, energy management system and other software. Each system is deployed on different operating systems, regardless of the hardware location that hosts it.

SaaS is called software as a service in Chinese, it is a software application model that provides software services through the Internet. In this case, the heating enterprises do not need to spend a lot of money on the construction of hardware, software and development teams, only need to provide the basic requirements of various applications for resources, provide virtual machines for servers in PaaS layer, and deploy SCADA, GIS, energy management, video and other applications. In addition, the portal website of the monitoring platform and the APP application on the mobile phone are also deployed in the SaaS layer.

After the establishment of the cloud platform, the hot network monitoring system will be deployed in the cloud, and the problem of insufficient data throughput caused by the constraint of computer hardware will be no longer involved. This system has the characteristics of high security and confidentiality, high speed, high reliability, high anti-interference ability, low implementation and operation cost and easy maintenance.

Next, the application of hot network monitoring system (SCADA) in cloud platform in SaaS layer is introduced.

Chapter Three Heat Network Monitoring System

3.1 The architecture of the monitoring system

The thermal network monitoring system consists of three major systems: thermal network monitoring center (MCC), remote terminal station and communication system. The structure of the monitoring system is shown in figure 4.

 Application of Urban Heat Network Intelligent System Based on Cloud Platform

FIG. 4 Architecture diagram of thermal network monitoring system

The equipment of the monitoring center mainly includes cloud server, network equipment, printer, operator station, etc.; The equipment of remote terminal station mainly includes controller, regulating valve, frequency converter, remote meter, etc.; Communication system includes wireless, optical fiber and other physical links and VPN system. Compared with the common thermal network monitoring platform, SCADA system adopts PVSS+ xLink as the upper computer software, which has advantages of system stability, data security and large data throughput. In addition, the cloud computing platform provides a resource pool for data storage, greatly speeds up the real-time data access, and has the interface of mass data acquisition of the secondary network balance system.

3.2 Function Introduction of Monitoring System

The thermal network production monitoring system includes functional modules such as heat network monitoring, whole-network balance optimization, heat network scheduling and command, climate model experts, and energy consumption analysis of the thermal network. The structure is shown in figure 5:

 Application of Urban Heat Network Intelligent System Based on Cloud Platform

FIG. 5 Module structure of heat network production monitoring system

The thermal network monitoring module provides data source for the monitoring system, completes the functions of collecting production data, issuing instructions, data warehousing, curve, alarm and hierarchical management authority of operators of thermal power station units.

The whole network balance optimization control module can calculate the result according to the dynamic hydraulic balance analysis, determine the comprehensive adjustment control scheme of the whole network, maintain the hydraulic balance of the pipe network, analyze and calculate the best balance control scheme of the whole network under the current heat source output condition. It includes three modes: temperature balance, heat balance and flow balance.

This module centers on the dispatching center of the thermal power company and runs through the whole process of the production scheduling of the thermal power company. This module is a comprehensive heat network production command and dispatch module which integrates heat source prediction, duty management, emergency plan and task upload.

The energy management module achieves the goal of fine management through fine measurement, real-time monitoring, intelligent processing and dynamic control of various kinds of energy consumption, is an important guarantee for refined, intelligent and modernized management of energy conservation and emission reduction.

The above functional modules are all deployed on the same platform, realizing data source sharing. The access of the cloud platform ensures the throughput of large concurrent data. At present, 678 sets of data have been accessed, and the system runs stably. In addition, functions such as WEB publishing and mobile service are set up on the cloud server to realize remote host and mobile APP access.

3.3 Thermal station control system

Combined with the actual situation of heat source, pipe network, heat station and heating mode of heat supply enterprises, the control strategy of heat station is "remote given, local control". The thermal station control system mainly includes: primary control subsystem, secondary control subsystem and communication control subsystem, these control subsystems are combined to complete the application tasks. At present, there are many cases about the regulation of thermal power station. No detailed discussion is made here, only the highlight in this case is described.

The control strategy of the control system is based on the complete advanced control theory, it is applied in the automatic control system engineering of many thermal power stations in China, the system works well and ensures the reliability of the project. Key highlights include:

Forecast and plan Heat load, collect secondary branch temperature, evaluate heating effect.

The key parameters in operation are monitored and collected for the hydraulic condition of the system, complete interlocking of multiple devices to ensure the security and stability of the system.

Ensure that the monitoring center can optimize the parameters of the process control of the thermal power station in time, make the system in the best economic operation state, meet the requirements of heating on demand or balanced heating.

The control strategy of the monitoring system has energy-saving measures to limit the flow, heat and return water temperature of the primary side.

It has the function strategy of "time-sharing control"; For the heating load of the heat users of public buildings, different heat load output can be set according to the working and rest time to control the opening degree of electric adjustment so as to save energy.

Standardization of communication interface with upper computer can realize "one-key station addition" and greatly shorten the state time of upper unit.

Portable, maintenance-free, the control program is compatible with the acquisition control of various frequency converters and heat meters, through the setting of the touch screen, the access of different brands of equipment can be completed.

Automatic protection of water softener, testing water pressure changes, when the tap water is short of water, automatically cut off the water softener power.

Heat station leakage protection, using a reasonable layout of the immersion sensor, real - time detection of heat station " leakage and venting" fault, uploading to each branch monitoring center.

Above all, supported by the cloud platform, this system can achieve the "heat balance" of the entire network and the best effect of "economic operation" by collecting and analyzing as much data as possible from the thermal power station.

Chapter Four Summary and Prospect

To sum up, cloud platform is a resource integration platform based on big data application, which can realize precise and directional promotion and management of energy resources in the field of heating. The user controls the data of the thermal power station comprehensively through the monitoring system, have effectively coordinated the network operation of 5 heat sources and eliminated the hydraulic imbalance of more than 60 million heat supply area pipe network. On the basis of the regulation of the whole network, the energy saving and consumption reduction of the thermal power station are realized, and then the heat load capacity of the thermal power network is increased.

At the moment, cloud computing is not just an early adopter, but a pervasive presence in the business of large corporations, private clouds are preferred, and the Internet of everything requires cloud computing to be more powerful and versatile at the infrastructure level. In this case, after building a private cloud platform, the heating enterprise will build a heating model through big data analysis in the future, which is mainly reflected in two aspects:

1. Provide all heating data chains for heat users, apartments, buildings, communities, branch lines, heat networks and heat sources for heating enterprises, combined with the business data, the deep mining of big data of heat supply can be achieved, realize the fine management of heating enterprises, so as to realize the true intelligent heating.

2. The integration of the business sector and the production sector is possible, the next step is to apply the ESB to eliminate the technical differences between the two platforms and allow different application servers to work together to build an enterprise nervous system.

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