Server-Based Temperature Controller Data Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Clients face difficulties in accumulating and analyzing data from temperature controllers, which is necessary for determining malfunctions and setting proper control parameters, due to the requirement of constructing a system using data loggers and instrumentation software, and modeling the object to be controlled is complex and not easily accessible.
Innovation Solution
A method and system where clients transmit instrumentation and control data to a server over a network, which processes and provides the necessary information, including data accumulation, tuning, modeling, and diagnosis services, eliminating the need for clients to accumulate and analyze the data themselves.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If clients accumulate and analyze instrumentation and control data using data loggers and instrumentation software, then the data can be used for determining malfunctions and setting control parameters, but the system complexity and difficulty of operation increase significantly
Solution Approach 1:
The patent introduces a server as an intermediary between the temperature controller and the client. The server receives instrumentation and control data from the temperature controller, performs data accumulation and analysis, and provides processed information to the client. This mediator eliminates the need for clients to directly manage complex data logging systems while ensuring reliable malfunction determination through professional data processing.
2Ease of operation
If clients set control parameters using auto-tuning functions, then the parameter setting process is simplified, but the control parameters cannot necessarily be set in a satisfactory manner
Solution Approach 1:
The server performs self-service data analysis by automatically accumulating instrumentation and control data, generating models of the controlled object, and determining optimal control parameters through professional analysis algorithms. This self-service approach ensures high-quality control parameters are generated through sophisticated processing while the client simply receives the results, maintaining ease of operation.
3Manufacturing precision
If clients create models of objects to be controlled for simulations, then optimum parameters can be determined, but the modeling process requires special tools and cannot be easily carried out
Solution Approach 1:
The patent extracts the complex modeling function from the client's responsibility and transfers it to the server. The server accumulates raw instrumentation and control data, automatically generates accurate models of the controlled object through professional analysis, and provides these models to the client. This extraction allows clients to obtain optimized parameters through accurate modeling without needing to master complex modeling tools or techniques.
4Adaptability or versatility
If clients directly process instrumentation and control data, then the data processing can be customized, but the time and resources required for data accumulation and analysis increase
Solution Approach 1:
The server performs preliminary data accumulation and processing in advance, continuously receiving and storing instrumentation and control data from the temperature controller. When the client needs specific information, the server has already prepared the data and can quickly provide processed results including malfunction determination and parameter optimization. This preliminary action by the server eliminates the time-consuming data accumulation process from the client's workflow while maintaining flexible data processing capabilities.
Data Source
AI summary
A customer submits a service application by accessing the home page of a service provider through a personal computer 3, and transmits the data including the operation amount and the control amount of a temperature controller 4 to a server 2 of the service provider. The server 2 accumulates the received data, and in accordance with the contents of the received service application, processes the accumulated data and provides the services of calculating the control parameter for the temperature controller 4, producing a model of the object of control and making a diagnosis by checking for a temperature control fault.


