Today, we mainly talk about the operation and maintenance of power plants. Everyone is talking about the data of the power station. It is very important to talk about intelligent operation and maintenance of power plants. Today, we heard that a lot of data is a trend in the future, and intelligence is also a trend in the future. Today, We don’t talk about hope, we don’t talk about expectations, we don’t talk about trends, we talk about facts.
Huawei friends mentioned that the premise of the intelligentization of power plants is the fourth generation of German industry, which is also known as 4.0. At the same time, Li Keqiang also launched the 2020 plan for power plants to apply the Internet data extraction and intelligent analysis to the actual production. This assimilation to the power station There are also similarities and differences. The final conclusion is how we can solve the problem of how to improve the power generation capacity of the integrated diagnosis of the power station.
The development of the entire power plant in Germany started earlier. Why do you want to talk about today is a fact, not a hope? You have experienced many things in Germany and have just started in China. Therefore, as a power station monitoring and maintenance quality service provider, you have experienced operation and maintenance. Several stages. When the power station was just started, the power station had no operation and maintenance. It was slowly seen that many problems were exposed. How could the power generation rate be low?
Therefore, there are some simple tools. Some people live on site to do quality assessment of the power station and do quality maintenance and repairs. These simple tools are far from enough in our complex power station environment. How can we better serve the power station? This is what we are currently experiencing in China. We have seen many new software platforms on it. This is our Progress in operation and maintenance.
We have been operating for a period of time in the German operation and maintenance of 4.0, using intelligent tools to carry out integrated management of the power station at the far end, and combined with some people at the scene, no one or less people to carry out specialized maintenance of power station problems. Where are these benefits? First of all we focus on a small number of high-quality technical personnel can carry out a comprehensive analysis of the power plant, and secondly we on-site, especially in remote areas of the power plant, especially in the desert and other places, the number of such people can be reduced, people's costs can be greatly reduced, Improve the efficiency of operation and maintenance and reduce costs.
At the same time, we are also advancing, and the German side is gradually advancing, that is, the next version of our operation and maintenance, operation and maintenance of the 5.0 version, is to concentrate our power station management on property, finance, and administration to a unified operation and maintenance platform. Power plant owners' assets are managed in a unified manner. In this way, it can be said that investors do not need to worry about a lot of details, as long as they care about your profitability and power generation.
Today, I also heard a lot of ideas about the operation and maintenance of power plants. To do monitoring and maintenance products for domestic operation and maintenance in our country, it is transferred from our communications partners and transferred from other system integrators. What they see is more Mostly deal with data, but how to deal with the details of the data, the first thing we use in the power plant monitoring system, etc., we will also talk about our power plant data processing for professional photovoltaic operation and maintenance personnel how to make products, extract data Do data processing and integrate resources.
Next is the power plant management system. On the analysis of data extraction, the problem was found and how to deal with it. Today I believe that in hearing a lot of reports, we have not heard the logic of some emergency treatment of the fault, and some mechanisms. To solve the problem at the least time after the incident and reduce the loss, I will introduce it. At the same time, it will be embedded in the quality management system and placed in the power station. Because the power station monitoring and operation and maintenance will see the amount of power generation, and the power plant as an asset, after selecting a good operation and maintenance method, after selecting a good product, is it right? It is possible to reduce costs through financing channels, power station sales channels, and applying for insurance channels at power stations to better protect the safety of our property. This is what we see in the operation and maintenance of the services provided to the owners.
The next step is to monitor the topological map of the system and upload data to the cloud platform. Is the property of the power station safe and is anyone stealing the board to steal the line? These require a complete security system, which is the data acquisition system and the security system. Power plants generate revenue from resources. This is what we advocate. We must not only collect data, not only to protect our property, but also to know how much data we can collect, how much resources we have in the past, and how much resources we will have in the future. That is, we started investing in weather services and resource prediction services 40 years ago. We have our own satellite data sources and have their own algorithms.
First of all, we talk about the monitoring system. Today we are talking about more than just the expected algorithm. All the data we talk about is the data we get out of the power station in real time. We show you a demonstration. We have already optimized or even optimized the monitoring system for 30 years. The algorithm is how to solve the power station problem. First of all, we see that we are counting, we have developed our own data collection, based on our needs for operation and maintenance over the years.
What are the features of this data acquisition system? For example, we can see that the red and blue images on the right contrast, we can determine that red has more information, and blue is just a simple framework. We have integrated the data processing function in the data collector. The normal data collector only collects the information uploaded from a single point. We use 3 points in one minute for the whole time period. The data collection is real-time data. What is done is to make an average of three points in 1 minute and 3 points, which reduces the system error and reduces the impact of the catastrophic environment on it.
When we do analysis, especially early warning, if this place does not use real data, where does our early warning come from? How do we do analysis after data collection? For example, if two 30-kilowatt inverters are placed in a specific environment, one The inverter is connected to 10 components, one inverter is connected to 20 components, and the two inverters are compared. It is certain that one is high and one is low, which reflects no problem. We need to do a normalization process. In this case, we end up with an average output of each watt of the inverter, and the same confluence box is also the quantity of each watt of current. This is a detailed case of data processing.
What is the PR algorithm? Today's friends who talked about inverters also mentioned that the inverter will sleep in certain circumstances and will not boot in certain low light conditions. The last day the light started, the environmental monitoring instrument began to collect lighting data, but the inverter may not work when there is light, resulting in the calculation of low PR. It has made a specialization in the system platform, including the correction of the light according to the temperature correction, and the adjustment of the actual PR according to the actual algorithm, including all the power stations, taking out two casually, and the comparison of the PR values ​​is effective.
We also heard about the power plant analysis today. We would like to know if it is in a healthy or accidental state. According to our 30-year optimized power generation assessment algorithm, using our model with real-time data captured on site, the simulated results can be Accurately calculate the power generation error within 5%, so if the current day's power generation is reduced due to some fault or because of unsustainable failure, it falls into the sub-health range, and the yellow icon is obvious. This day the power station is in Asia. Health problems may be solved by people. The power station becomes green again and becomes healthy again.
The power station is based on resources, and the revenue is derived from resources. How to evaluate the revenue? It is also a proud place for Haotou Intelligent Technology. We have done 40 years of meteorological research services. There are thousands of self-built projects worldwide. The ground power station, which has geostationary satellites, has at least 25 years of meteorological data in each corner. We used our own cooperation with local German universities to develop two algorithms.
The first algorithm can combine the satellite data with the ground station's correction data to measure the historical irradiation of the ground itself. This accuracy is very high. Including the photovoltaic forecasting companies that we talked about today, the operation is less than 90%. Domestic environmental issues, haze and dust storms, how do these things count in the model?
It requires that you have an analysis of the data monitored in the ground power station in the past few years under the conditions of environmental pollution. In this way, you can take all the questions into consideration. Of course, this issue is also a time for us to discuss with insurance company partners. They also mentioned such a problem. We explained to him such a problem. After all, an analysis of resources should consider the local situation.
Next is the warning system of the power station. How to give an early warning? First, there must be an effective and stable system, comparison at the same level, time delay system, customized configuration, and empirical classification. When it comes to data analysis and processing, how to deal with it in the end is actually the most important issue. This is the public security system. This is a complete logic for us. If there is any problem, we will take the following loop. If the problem cannot be solved, we will continue to go ahead and ensure that our problems are solved effectively and promptly.
At the same time, we also advocate timely treatment of the power station. The above image is a loss of our power station over time. The longer the time, the greater the loss of the power station, and even the index will rise. We have found that there is a solution mechanism. There are some spare parts at the power station. According to a certain environment, the power station can analyze the holding rate of its own spare parts. The above image represents our analysis. In a typical environment, what is the failure rate of the power station? In the inverter section, in the combiner box, this can be used as a good guide for spare parts.
In the end, we have a real-time report on the owner, integrated in all monitoring systems, including real-time data analysis, fault statistics, this will be automatically put into the module, according to the requirements of the owners can be customized changes, in accordance with the requirements of customers to change What customers can add, we can add what, at the same time have their own professional and customized modules, if you do not have any advice, you can follow us to provide you.
At the same time, there is not only its own remote-end analysis but also a specialized team that conducts annual inspections of power stations, including mobile inspection stations and on-site infrared detection, as well as their own helicopters to perform corresponding infrared detection above the power station. The above are some of the solutions we provide to our customers, including basic, professional and high-end versions. The above are some of the current data of our investment technology company. The global market share of photovoltaic monitoring is ranked first, and the new energy industry has accumulated technology for more than 30 years. The number of photovoltaic power stations for independent operation and maintenance has reached a certain scale.
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