Building Management System Point Read Frequency Auto-Synchronization
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Solution Overview
Problem
Existing building management systems (BMS) face challenges in synchronizing data point frequencies, leading to mismatches between read and deposit frequencies, which can result in incorrect data fetching and timestamp issues, especially when dealing with a large number of data points across disparate locations.
Innovation Solution
A system and method for automatic synchronization of data point read frequencies, where a building enterprise managing device analyzes data point values to identify the deposit frequency and adjusts the read frequency to match it, ensuring accurate and timely data retrieval from various data sources, including HVAC equipment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual configuration of read frequency is used, then system setup is simple, but time-consuming and difficult process for large number of data points
Solution Approach 1:
The system automatically detects the deposit frequency from data source and adjusts the read frequency without manual intervention. The building enterprise managing device performs self-configuration by analyzing incoming data timestamps and autonomously setting the appropriate read frequency, eliminating the time-consuming manual configuration process for large numbers of data points
Solution Approach 2:
The system dynamically changes the read frequency parameter based on detected deposit frequency characteristics. By monitoring the timing of incoming data points and identifying patterns in deposit intervals, the system adjusts the read frequency parameter to match the actual data source behavior, resolving the mismatch between configured and actual frequencies
2Reliability
If read frequency is manually configured, then initial setup is straightforward, but frequency mismatch occurs between read and deposit frequencies
Solution Approach 1:
The system continuously monitors the actual deposit frequency from data sources and uses this feedback to adjust the read frequency. By comparing expected read timing with actual data arrival patterns, the system detects mismatches and automatically corrects them, ensuring reliable synchronization without requiring operators to understand complex frequency matching
Solution Approach 2:
The building enterprise managing device autonomously detects and corrects frequency mismatches by analyzing incoming data timestamps. The system self-configures the read frequency to match the deposit frequency, eliminating the need for manual frequency calibration and preventing synchronization errors that would otherwise require difficult troubleshooting
3Loss of time
If automatic synchronization is implemented, then configuration time is reduced, but system complexity increases
Solution Approach 1:
The system replaces manual configuration mechanics with automated electronic detection and adjustment. Instead of requiring operators to manually set frequency parameters, the system uses electronic timestamp analysis and automatic parameter adjustment, substituting complex manual procedures with simpler automated processes that reduce configuration time
Solution Approach 2:
The system automatically adjusts the read frequency parameter based on detected deposit frequency patterns. By dynamically changing this parameter without manual intervention, the system eliminates time-consuming configuration processes while the automation complexity is managed through standardized detection algorithms
Data Source
AI summary
Systems and methods of automatic synchronization of point read frequency are provided. The system can include data sources that receive data point values at respective deposit frequencies and a building enterprise managing device that performs an automatic synchronization process. The building enterprise managing device can receive a user configuration setting indicating a read frequency and obtain the data point values from a data source at the read frequency. The building enterprise managing device can identify a deposit frequency at which the data point values are received at the data source. The building enterprise managing device can determine whether the read frequency matches the deposit frequency. The building enterprise managing device can adjust the read frequency to match the deposit frequency in response to determining that the read frequency does not match the identified deposit frequency and obtain the data point values from the data source at the adjusted read frequency.