1 needs analysis If the solar system is not functioning properly, the owner of the PV plant may lose a large portion of its revenue. System performance may be affected as the PV system is exposed outdoors by multiple parts, electrical grid faults, component aging, damage, and improper maintenance. The timely response to problems is extremely important in avoiding any loss of revenue to system owners. According to the demand analysis, based on the data sources of each PV power station system, this project can choose to use the domestic advanced, stable performance, powerful, safe, reliable, easy to operate, widely used Zijin for the purpose of safe and economic operation and improving the overall efficiency of the enterprise Bridge real-time database system as the basic data platform, using advanced, applicable and effective professional calculation methods to achieve the company-wide information sharing, real-time monitoring of power plant production process and scheduling for the company management to provide real and reliable real-time operation Data for the operation of the market enterprises to provide scientific and accurate economic indicators. From a management point of view, it provides important and real operating data for controlling enterprise costs and improving productivity. At the same time, through data analysis and comparison, it can make scientific and rational decision-making programs so that business management decisions Scientific. 2 overall program design The system is a complete and meticulous real-time monitoring system. By identifying faults and informing the maintenance team and the plant owner, the system is able to respond promptly to various faults that occur in the PV system. Available for commercial and utility scale PV power plants. Solution Brief: In order to ensure timely response to the issue, a photovoltaic power plant remote monitoring center system was developed for the Photovoltaic Power Group Group, which is a set of fully-networked and scalable solutions that provide 24/7 real-time monitoring system. The system enables PV system owners to track daily, monthly and yearly production of their systems for up-to-date total production information, current PV system sales, past and future revenues, and other detailed information on solar power plants. Power station owners can view the weather forecast, carbon dioxide emission reduction information and other ecological information. 2.1 system overall structure The overall system architecture The system as a whole uses a centralized data acquisition architecture, the overall is divided into two parts, namely, the subordinate photovoltaic power plants and group headquarters. (1) Subordinate photovoltaic power station enterprises The underlying structure for the subordinate power plant enterprise layer, including a number of companies. In each branch were placed in an interface machine, the interface machine can be based on the group needs to monitor the indicators and collection frequency from the power station system, inverter, combiner box, DC screen and other system data. Interface machine running collection interface system software. Install a firewall between the interface unit and the power station system to ensure the safety of the production system. Typical photovoltaic power plant topology is as follows: (2) Company headquarters The upper structure for the company headquarters level. The layer network with Gigabit switches, connected devices Zijinqiao real-time database server, application server, data publishing server, data acquisition interface machine. System uses a centralized data collection method, the company headquarters deployed a data acquisition interface machine, through the operation of the interface software to subordinate the power station enterprise interface machine real-time data collected to the company headquarters Zijin Bridge real-time database server. The use of centralized data collection can ensure data security and confidentiality, reduce the system's point of failure, the system easy to manage and maintain; can save costs; Zijin Bridge real-time database server is used to receive, process, store real-time data from various power plant enterprises inverters, converter boxes, DC counters, meters and other systems; Application server to provide the system management information required statistics, indicators and other business applications; The data release server is used for the data release. The administrator can access the data release server through IE, and can configure, manage and publish the web page. The ordinary user can access the web page through the IE browser and view the web publishing information after authorization. 2.2 Data Acquisition Data acquisition is an important part of the real-time database. It is responsible for real-time transmission of field data to the database, the operation data sent to the scene, is the bridge between the database server and production control system. Without a stable, efficient, rich data mining interface, the real-time database can only be open to the air. Zijin Bridge software has a rich I / O interface, with a variety of DCS, PLC, intelligent instrumentation communications, support for communications media can be Ethernet, serial ports, special communications cards. 1. Acquisition methods 1) Zijinqiao OPC interface software can be used to collect all power station systems that provide standard OPC mode. Zijinqiao OPC interface software is Zijin Bridge real-time database system data acquisition standard software, at present in most projects are used in this way, the interface software is mature, stable and reliable, is the implementation of large-scale system projects of choice. 2) For systems that do not provide standard OPC mode, other standard interfaces such as MODBUS or self-developed interface software can be directly used, such as mainstream PLC control system, common smart meters and smart meter system interfaces. Subordinate photovoltaic power plant enterprise data acquisition to the respective interface machine directly upload data to the group headquarters. 2. Acquisition frequency Data collection frequency according to different types of data collected, can be set by parameters. Data format The collected data is classified and stored according to the designed data classification rules; the collected data is to be calibrated to collect the data collection time and the parameter type code; and the different parameters can be encoded according to rules stipulated by the group company. 4 data cache Data interface machine can cache all the collected data. Support multi-level data recovery. 5. Number Free cutting steel bar 1214 steel round bar,12L14 steel round bar,1215 steel round bar,12L15 steel round bar,11SMnPb steel round bar SHANDONG LE REN SPECIAL STEEL CO., LTD. , https://www.sdthreadedrods.com