Methods and internet of things systems for centralized heating gas supervision based on supervision platforms
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Solution Overview
Problem
Current gas heating systems lack effective regulation, leading to inefficient resource utilization and safety risks due to dispersed heating, hidden installation locations, and user-induced faults, making it difficult to detect equipment issues promptly.
Innovation Solution
A centralized heating gas supervision method and IoT system that uses a supervision platform to collect indoor environmental features and gas consumption data, generates early warnings, determines heat supply capacity, and adjusts heating device parameters to optimize heating performance and safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If heating is dispersed in time and space, then user convenience is improved, but resource utilization efficiency deteriorates
Solution Approach 1:
The system implements centralized supervision that collects real-time data from multiple heating devices and environments, processes this information centrally, and provides feedback control signals to adjust heating operations. This feedback mechanism enables coordinated control across dispersed heating points, optimizing resource allocation while maintaining user convenience through automated adjustment.
Solution Approach 2:
The centralized supervision platform serves multiple functions simultaneously: it monitors environmental conditions, tracks gas consumption, detects equipment faults, generates early warnings, and controls heating devices. This multi-functional approach allows the system to manage dispersed heating operations efficiently without requiring separate specialized systems for each function.
2Shape
If heating pipelines are installed in hidden locations, then aesthetic appearance is improved, but detectability of equipment issues deteriorates
Solution Approach 1:
The system introduces sensor networks and supervision platforms as intermediaries that indirectly detect the state of hidden heating pipelines and equipment. These sensors monitor parameters such as temperature, gas flow, and pressure, providing information about the condition of concealed infrastructure without requiring direct visual inspection or exposing the pipelines.
Solution Approach 2:
The patent replaces manual inspection methods with automated sensor-based detection systems. Instead of physically accessing or visually checking hidden pipelines, the system uses electronic sensors and data transmission to monitor equipment status, substituting mechanical detection approaches with electronic monitoring.
3Adaptability or versatility
If users directly control heating devices, then operational flexibility is improved, but safety risks from user-induced faults increase
Solution Approach 1:
The supervision system enables heating devices to self-monitor and self-report their status automatically. Devices equipped with sensors can detect their own operational parameters and communicate this information to the central platform, reducing the need for user intervention while maintaining operational flexibility through automated control capabilities.
Solution Approach 2:
The system implements safety feedback mechanisms where the central supervision platform receives real-time data from heating devices and users, analyzes potential safety issues, and provides feedback control signals to prevent hazardous conditions. This feedback loop maintains user operational flexibility while adding a safety layer that monitors and responds to potential faults.
Data Source
AI summary
Embodiments of the present disclosure provide a method and an Internet of Things system for centralized heating gas supervision based on a supervision platform. The method includes obtaining an indoor environmental feature of each sub-region in a target region and gas consumption data of a heat supply source in the target region by a gas company sensor network plat form, the indoor environmental feature and the gas consumption data being collected by a smart gas device object platform; determining whether heating data in the target region meets a preset condition based on the indoor environmental feature of each sub-region and the gas consumption data; generating an early warning message in response to determining that the heating data does not meet the preset condition, and sending the early warning message to a gas user platform by a gas user service platform.