Urban carbon emission intelligent management cloud platform

Abstract

The invention discloses an urban carbon emission intelligent management cloud platform. Carbon emission intelligent management is performed according to the following steps that 1) a regulator side configures information of the industry, regions, emission sources, emission factors, the average low calorific value and greenhouse gases; 2) the regulator side allocates regulated side accounts so that all the regulated sides can access to the cloud platform through the authorized accounts and perform configuration at the regulated sides; thus interrogation of carbon emission is connected with concrete equipment of the regulated sides; and carbon emission measurement information of each set of equipment is calculated through the active data of each equipment and the average low calorific value, the emission factors and the GWP value; and 3) the regulator side and the regulated sides complete configuration in turn and then the regulator side monitors the real-time carbon emission measurement information of the whole or each industry or each region or each regulated side in the monitoring range through a real-time monitoring module; and the regulated sides monitor the carbon emission measurement information of each set of equipment of the regulated sides.

Description

technical field [0001] The invention relates to carbon emission monitoring, in particular to intelligent monitoring and management of urban carbon emission. Background technique [0002] At present, most of the carbon inventory work in China is still based on the manual reporting of carbon emission data based on the energy consumption ledger of the regulated party, and a small part is based on the original "energy consumption monitoring system" and relies on the energy accounting system for inventory. In the above two methods, the former is prone to errors or omissions in data statistics, the fairness and accuracy of the data cannot be guaranteed, and it cannot reflect the unit emission situation in real time and dynamically; the latter has incomplete activity data and flaws in the platform structure, making it difficult Carry out functional expansion. At the same time, there is a bottleneck in the two methods of inquiry, that is, the data is collected in one direction, and...

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Problems solved by technology

In the above two methods, the former is prone to errors or omissions in data statistics, the fairness and accuracy of the data cannot be guaranteed, and it cannot reflect the unit emission situation in real time and dynamically; the latter has incomplete activity data and flaws in the platform structure, making it difficult Extend function

At the same time, there is a bottleneck in the two methods of checking, that is, the data is collected in one direction, and there is no timely feedback and assistance for the management and efficiency of the monitored objects.

This limits the carbon inventory to the scope of data statistics, but does not go deep into the analysis of carbon reduction nodes and energy-saving space. Such an inventory method will easily make the regulated party think that their information is being monitored, which will increase the difficulty of popularizing carbon inventory work.

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