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AI – In fact, this thing is a model that uses artificial intelligence technology to analyze facility performance. Let’s talk about the basic concepts first, that is, using algorithms such as artificial intelligence to process a lot of data generated in the operation of the facility. For example, what is a facility – such as machinery and equipment in factories, as well as various systems in buildings, elevators, air conditioners, etc., which are considered facilities. Through analysis of data, discover some internal rules of its operating status—

Let’s talk about some key module splits here

The first aspect is data collection, which is the top priority! Various functional facilities generate massive data:

1. The position sensor should collect the location information of the equipment to understand the spatial distribution;

2. Performance sensors must collect indicators in real time, and data can be presented in any situation such as machine temperature and humidity.

Second, let’s talk about data storage, which can be complicated. A large facility may generate hundreds of T of data in a day. It’s not a joke:

1. A distributed file system can be used to store a large amount of raw data, such as a file system

2. The time series database also performs very well here. Saving data based on time series is beneficial for analyzing the periodic changes of the facility.

Let’s talk about the big module of the data analysis algorithm:

1. Regression analysis: The performance can be inferred based on the collected data, such as whether the performance drop can occur based on the usage time of a certain mechanical equipment;

2. The abnormal detection algorithm is also of great importance: it can timely and accurately identify abnormal conditions in the running data. A certain device has always been running stably, and the parameter value suddenly exceeds the range, and the warning can be found through the algorithm immediately.

Then we add some details in the form of a question and answer

Question 1: Is the more data you run, the better? In fact, it depends on the specific needs; from the overall trend, it is fine to collect enough data to form a running model, but if too much useless data is collected, it will also cause the computing speed to be reduced;

Question 2. How to optimize the performance parameters of AI analysis model? It mainly looks for the best in model construction and large-scale data testing; for example: using new samples to try different models to optimize performance may work, and it is also constantly adjusting its complexity.

Speaking of which, there is still a big difference between AI and ordinary facilities that have not been introduced:

Most ordinary people are based on past basic experience and fixed thresholds to alert. If the temperature of the air conditioner in a certain area is always stable at 20 degrees, then the whistle will be immediately sounded; but I cannot understand why the temperature changes, and maybe the relationship between external factors is not clearly considered. With the help of AI, we will analyze the relevant data more and find the essential connection, and may contact the conditions of external temperature, surrounding personnel flow and other conditions to be accurately predicted and analyzed!

We have to say that the performance analysis benefits of AI intelligent drive facilities are quite valuable; I think it has a great help to the transformation of modern facilities operation and management; provide global procurement services for weak current intelligent products! Digging treasures from data can effectively allocate resources, improve the overall effective output value, and promote the orderly progress of various facilities in a more intelligent and orderly manner.