CN-121809852-B - Carbon emission data monitoring method, equipment and computer program product

CN121809852BCN 121809852 BCN121809852 BCN 121809852BCN-121809852-B

Abstract

The application discloses a carbon emission data monitoring method, equipment and a computer program product, and relates to the technical field of data monitoring, wherein the method comprises the steps of collecting metering data through a pre-deployed carbon monitoring terminal and acquiring manual supplementary data uploaded by a user through a structured input interface; calculating theoretical carbon emission based on the metering data and the manual supplementary data, performing cross check on the theoretical carbon emission and the actual carbon emission obtained in advance, identifying carbon data abnormality, marking abnormality equipment corresponding to the carbon data abnormality in a pre-built three-dimensional digital twin power plant model, and performing data correction on the abnormality equipment. And through cross check, data correction is carried out by depending on a three-dimensional digital twin power plant model, so that accurate monitoring and correction of carbon emission data are realized.

Inventors

JIAO YUANHANG
FENG BIN
MA WEI
WANG HUAIZHENG
NIU HAO

Assignees

深圳市中天碧姆科技有限公司

Dates

Publication Date: 20260508
Application Date: 20260309

Claims (6)

1.A carbon emission data monitoring method, characterized in that the carbon emission data monitoring method comprises: acquiring metering data through a pre-deployed carbon monitoring terminal, and acquiring manual supplementary data uploaded by a user through a structured input interface; Calculating a theoretical carbon emission amount based on the metering data and the artificial supplemental data; Cross checking is carried out on the theoretical carbon emission and the actual carbon emission obtained in advance, and carbon data abnormality is identified; Acquiring a factory asset plan input by a user, and combing factory time dimension core change elements according to the factory asset plan; establishing a dynamic data asset catalogue according to the factory time dimension core change element, and defining a model updating rule in the dynamic data asset catalogue; acquiring three-dimensional point cloud data of a factory by adopting ground laser point cloud scanning, and acquiring topographic and topographic data of the factory by unmanned aerial vehicle oblique photography; Carrying out space-time alignment on the plant area three-dimensional point cloud data and the plant area topography data, and constructing a three-dimensional digital twin power plant model; Updating the three-dimensional digital twin power plant model based on the dynamic data asset inventory and the model updating rules; Labeling an abnormal device corresponding to the carbon data abnormality in a pre-constructed three-dimensional digital twin power plant model, and carrying out data correction on the abnormal device; basic information of each physical device is collected, and the basic information is mapped to the three-dimensional digital twin power plant model to obtain a first mapping relation; Mapping the carbon monitoring terminal to the three-dimensional digital twin power plant model to obtain a second mapping relation; establishing a ternary association library based on the first mapping relation and the second mapping relation; reversely matching physical equipment corresponding to the data node based on a pre-constructed ternary association library, and marking the physical equipment as abnormal equipment; labeling the abnormal equipment in the three-dimensional digital twin power plant model; calling equipment operation data of the abnormal equipment within a preset time range, and generating a parameter curve according to the equipment operation data; the parameter curve is corrected by adopting the same-working-condition interpolation method, and the method specifically comprises the steps of marking the data nodes in the parameter curve and determining the working condition characteristics of the data nodes; retrieving effective operation data conforming to the working condition characteristics, and calculating a correction value according to the effective operation data; and replacing the data node in the parameter curve by using the correction value so as to carry out parameter curve correction.
2. The carbon emission data monitoring method as recited in claim 1, wherein the step of calculating a theoretical carbon emission amount based on the metering data and the artificial supplemental data includes: Carrying out standardized pretreatment on the metering data and the manual supplementary data to obtain a standardized data set; Constructing a theoretical carbon emission amount calculation model according to a carbon conservation law; and inputting the standardized data set into the carbon emission amount calculation model to calculate so as to obtain the theoretical carbon emission amount.
3. The carbon emission data monitoring method as defined in claim 2, wherein the step of constructing a theoretical carbon emission amount calculation model in accordance with the law of conservation of carbon includes: determining a carbon input term and a carbon retention term according to the law of conservation of carbon; And constructing a basic balance formula according to the carbon input item and the carbon retention item, and deducing a theoretical carbon emission amount calculation model according to the basic balance formula and a preset molar mass ratio.
4. The carbon emission data monitoring method as defined in claim 1, wherein the step of cross-checking the theoretical carbon emission amount and the actual carbon emission amount acquired in advance, and identifying the abnormality of the carbon data includes: Acquiring actual carbon emission; Comparing the actual carbon emission with the theoretical carbon emission, and calculating deviation amplitude; And under the condition that the deviation amplitude exceeds a preset threshold value, carrying out cross comparison on the corresponding metering data of the theoretical carbon emission obtained through calculation so as to identify the abnormality of the carbon data.
5. A carbon emission data monitoring device, characterized in that the device comprises a memory, a processor and a computer program stored on the memory and executable on the processor, the computer program being configured to implement the steps of the carbon emission data monitoring method according to any one of claims 1 to 4.
6. A computer program product, characterized in that the computer program product comprises a computer program which, when executed by a processor, implements the steps of the carbon emission data monitoring method of any one of claims 1 to 4.

Description

Carbon emission data monitoring method, equipment and computer program product Technical Field The present application relates to the field of data monitoring technology, and in particular, to a carbon emission data monitoring method, apparatus, and computer program product. Background At present, the carbon emission monitoring of a thermal power plant mainly depends on two technical paths, namely an automatic monitoring method based on a continuous monitoring system of flue gas (CEMS), a sensor arranged on a chimney is used for collecting data such as carbon dioxide concentration, flue gas flow and the like in the flue gas in real time to calculate the actual carbon emission, and the theoretical carbon emission is calculated manually by carrying out manual accounting based on material consumption and counting the data such as fuel coal consumption, coal carbon content and the like. However, CEMS systems are easily affected by factors such as sensor drift, fluctuation of flue gas working conditions, equipment aging and the like, so that deviation and even abnormality of monitoring data occur, partial small power plants or old units are not fully provided with the CEMS systems, the data coverage is incomplete, an artificial accounting method relies on manually inputting information such as coal burning data, coal quality test reports and the like, the efficiency is low, the period is long, data errors are easily caused by human errors, and accurate monitoring and timely correction cannot be realized. Therefore, how to accurately monitor and correct the carbon emission data is a technical problem to be solved in the application. Disclosure of Invention The application mainly aims to provide a carbon emission data monitoring method, equipment and a computer program product, which aim to solve the technical problem of how to accurately monitor and correct carbon emission data. In order to achieve the above object, the present application provides a carbon emission data monitoring method, which includes: acquiring metering data through a pre-deployed carbon monitoring terminal, and acquiring manual supplementary data uploaded by a user through a structured input interface; Calculating a theoretical carbon emission amount based on the metering data and the artificial supplemental data; Cross checking is carried out on the theoretical carbon emission and the actual carbon emission obtained in advance, and carbon data abnormality is identified; And marking abnormal equipment corresponding to the carbon data abnormality in a pre-constructed three-dimensional digital twin power plant model, and carrying out data correction on the abnormal equipment. In one embodiment, the step of calculating a theoretical carbon emission based on the metering data and the artificial supplemental data comprises: Carrying out standardized pretreatment on the metering data and the manual supplementary data to obtain a standardized data set; Constructing a theoretical carbon emission amount calculation model according to a carbon conservation law; and inputting the standardized data set into the carbon emission amount calculation model to calculate so as to obtain the theoretical carbon emission amount. In one embodiment, the step of constructing the theoretical carbon emission amount calculation model according to the law of conservation of carbon includes: determining a carbon input term and a carbon retention term according to the law of conservation of carbon; And constructing a basic balance formula according to the carbon input item and the carbon retention item, and deducing a theoretical carbon emission amount calculation model according to the basic balance formula and a preset molar mass ratio. In one embodiment, the step of cross-checking the theoretical carbon emission amount and the actual carbon emission amount acquired in advance, and identifying the abnormality of the carbon data includes: Acquiring actual carbon emission; Comparing the actual carbon emission with the theoretical carbon emission, and calculating deviation amplitude; And under the condition that the deviation amplitude exceeds a preset threshold value, carrying out cross comparison on the corresponding metering data of the theoretical carbon emission obtained through calculation so as to identify the abnormality of the carbon data. In an embodiment, the step of labeling the abnormal equipment corresponding to the carbon data abnormality in the pre-constructed three-dimensional digital twin power plant model and performing data correction on the abnormal equipment further includes: Acquiring a factory asset plan input by a user, and combing factory time dimension core change elements according to the factory asset plan; establishing a dynamic data asset catalogue according to the factory time dimension core change element, and defining a model updating rule in the dynamic data asset catalogue; acquiring three-dimensional point cloud data of a factory by ado