Product Details
Place of Origin: China
Brand Name: Saving
Model Number: DDZY1218
Payment & Shipping Terms
Input Voltage Range: |
0-10V |
Analog Input Channels: |
8 |
Weight: |
2 Lbs |
Output Voltage Range: |
0-5V |
Storage: |
32MB RAM |
Voltage Range: |
70% ~ 130% Un |
Digital Input Channels: |
4 |
Relative Humidity: |
≤95% |
Input Voltage Range: |
0-10V |
Analog Input Channels: |
8 |
Weight: |
2 Lbs |
Output Voltage Range: |
0-5V |
Storage: |
32MB RAM |
Voltage Range: |
70% ~ 130% Un |
Digital Input Channels: |
4 |
Relative Humidity: |
≤95% |
With a relative humidity threshold of ≤95%, you can rest assured that your data will always be accurate and reliable. At only 2 Lbs, this unit is lightweight and portable, making it easy to move around and install as needed.
Our Data Concentrator Unit boasts 8 analog input channels and 4 digital input channels, giving you the flexibility to collect data from a variety of sources. Whether you need to monitor temperature, pressure, or any other variable, this unit is up to the task.
As an Information Aggregator, the Data Concentrator Unit is designed to simplify the process of collecting, organizing, and analyzing data. With its intuitive interface and powerful capabilities, this unit is the ideal solution for businesses looking to streamline their data gathering and analysis processes.
So if you're looking for a reliable and efficient Data Concentrator Unit that can handle all your data gathering needs, look no further than our Information Aggregator. Order yours today and experience the power of streamlined data collection and analysis.
The Saving Data Concentrator Unit is ideal for applications in the energy sector, specifically in power generation and distribution. It can be used to monitor energy consumption, power quality, and system performance. With its AC380V power source and 0-5V output voltage range, it can easily integrate with existing systems and provide accurate and reliable data for analysis.
Another application for the Saving Data Concentrator Unit is in the manufacturing industry. It can be used to collect data from various sensors and machines, such as temperature, pressure, and flow sensors, to optimize production processes and improve efficiency. The unit's compact size and easy installation also make it suitable for use in small-scale manufacturing environments.
For businesses in the transportation industry, the Saving Data Concentrator Unit can be used to monitor vehicle performance and track fleet operations. It can collect data from sensors such as fuel consumption, speed, and location, providing valuable insights into fleet management and maintenance.
The Saving Data Concentrator Unit can also be used in environmental monitoring applications. It can collect data from sensors that measure air and water quality, weather conditions, and other environmental factors. This data can be used to monitor and analyze environmental changes and inform decision-making processes for environmental management.
In conclusion, the Saving Data Concentrator Unit is a versatile and reliable product that can be applied in various industries and scenarios. Its compact size, ease of installation, and accurate data collection make it an essential information aggregator for businesses seeking to optimize their operations and improve efficiency.
The Data Concentrator Unit product provides the following technical support and services:
Q: What is the brand name of the Data Concentrator Unit?
A: The brand name of the Data Concentrator Unit is Saving.
Q: What is the model number of the Data Concentrator Unit?
A: The model number of the Data Concentrator Unit is DDZY1218.
Q: Where is the Data Concentrator Unit manufactured?
A: The Data Concentrator Unit is manufactured in China.
Q: What is the purpose of the Data Concentrator Unit?
A: The Data Concentrator Unit is designed to collect data from multiple sources and transmit it to a central location for analysis and management.
Q: What types of data can the Data Concentrator Unit collect?
A: The Data Concentrator Unit can collect various types of data including energy consumption, temperature, humidity, and other environmental variables.