CN117010915A - Carbon emission target identification and monitoring system based on Internet of things technology - Google Patents
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Abstract
The invention relates to a carbon emission target identification and monitoring system based on the technology of the Internet of things, which comprises the following components: the carbon emission target identification module is used for identifying a carbon emission target and determining the type of the carbon emission target; the index parameter acquisition module is used for determining index parameters related to carbon emission based on the type of the carbon emission target and collecting the index parameters in a preset period of the carbon emission target; a carbon emission calculation module for calculating a carbon emission amount of the carbon emission target according to the index parameter; the carbon emission target monitoring module is used for setting an upper limit value and a lower limit value of the carbon emission in a preset period and judging whether the calculated carbon emission is within a threshold value or not; the carbon emission target identification module, the index parameter acquisition module, the carbon emission calculation module and the carbon emission target monitoring module are sequentially connected. The invention can realize target identification of carbon emission and monitoring and prediction of carbon emission, and provides powerful guarantee for supervision and regulation of carbon emission.
Description
Technical Field
The invention relates to the technical field of carbon emission target identification and monitoring, in particular to a carbon emission target identification and monitoring system based on the internet of things technology.
Background
Along with the rapid development of economy, the pressure born by resources and environment is gradually increased, the environmental pollution is increasingly serious, the human health is seriously endangered, common environmental problems are smoke pollution, haze pollution and the like, carbon dioxide is the most common greenhouse gas in the air although the carbon dioxide cannot directly endanger the human health, and carbon emission is taken as an unexpected output accompanied by economic growth and is a key factor causing environmental problems such as global warming and the like. Therefore, monitoring and early warning of carbon emission related indicators is extremely important, while effectively assessing the carbon sequestration capacity of areas, businesses and individuals.
The determination of the carbon emission is mainly performed by reporting (the usage amount of green energy, the usage amount of fossil energy and the like) through an enterprise, or judging whether the enterprise is a green environment-friendly enterprise according to the operation range and the operation type of the enterprise, and then coding the carbon effect code to the enterprise, so that the display state of the carbon effect code is greatly influenced by human factors, is inaccurate, and does not have practical reference value and guiding significance. And the main body of carbon emission is not only enterprises, but also vehicles and other types of buildings, and the like, the emission characteristics of each carbon emission source are different, the carbon emission calculation and the monitoring of the adaptation are required, the regional carbon emission data acquisition mode is mainly equipment monitoring, the acquired data is accurate, but the equipment monitoring cost is high, for example: the carbon emissions trading credit of an enterprise may be tens of thousands of yuan, but other trading costs for measuring and checking emissions data may be as high as hundreds of thousands, or even millions of yuan. Moreover, the equipment monitoring has the defects of low flexibility, small monitoring area and the like.
Therefore, there is a need for a carbon emission target recognition and monitoring system based on the internet of things technology to realize accurate recognition of carbon emission targets and real-time monitoring of carbon emission amounts.
Disclosure of Invention
The invention aims to provide a carbon emission target identification and monitoring system based on the Internet of things technology, which realizes accurate monitoring of carbon emission of different targets.
In order to achieve the above object, the present invention provides the following solutions:
a carbon emission target identification and monitoring system based on the technology of the Internet of things comprises:
the system comprises a carbon emission target identification module, an index parameter acquisition module, a carbon emission calculation module and a carbon emission target monitoring module;
the carbon emission target identification module is used for identifying a carbon emission target and determining the type of the carbon emission target;
the index parameter acquisition module is used for determining index parameters related to carbon emission based on the type of the carbon emission target and acquiring the index parameters in a preset period of the carbon emission target;
the carbon emission calculation module is used for calculating the carbon emission amount of the carbon emission target according to the index parameter;
the carbon emission target monitoring module is used for setting an upper limit value and a lower limit value of the carbon emission in a preset period and judging whether the calculated carbon emission is in a threshold value or not;
the carbon emission target identification module, the index parameter acquisition module, the carbon emission calculation module and the carbon emission target monitoring module are sequentially connected.
Further, the carbon emission target identification module includes:
the building target identification unit is used for identifying a building target based on the satellite remote sensing image, determining the building type of the building target and sending the building type to the index parameter acquisition module;
and the vehicle target identification unit is used for judging the type of the vehicle target based on image identification and sending the type of the vehicle target to the index parameter acquisition module.
Further, the index parameter obtaining module includes:
the building target index parameter acquisition unit is used for determining index parameters related to carbon emission according to building types and collecting the index parameters in a preset period of the building target;
and the vehicle target index parameter acquisition unit is used for determining the index parameters related to the carbon emission according to the vehicle type and acquiring the index parameters in the preset period of the vehicle target.
Further, the carbon emission calculation module includes:
a building target carbon emission calculation unit for calculating a carbon emission amount according to an index parameter of a building target;
and the vehicle target carbon emission calculation unit is used for calculating the carbon emission according to the index parameters of the vehicle target.
Further, the method for calculating the carbon emission amount of the building target is as follows:
the method for calculating the carbon emission of the building target comprises the following steps:
calculating the total energy consumption of the building target:
wherein E is c Representing the total energy consumption of a building target, Q ij For the consumption of the energy of the jth kind of the ith building, theta j Converting the j-th type energy source of unit quantity into a conversion coefficient of unit coal;
calculating a carbon emission amount of the building target based on the total amount of energy consumption:
E a ＝E c ×Ω
wherein E is a Representing the carbon emission of the building target, Ω represents the conversion coefficient of the unit coal into carbon dioxide.
Further, the method of calculating the carbon emission amount of the vehicle target is:
wherein E is b Carbon emission representing a vehicle target, v representing a speed of the motor vehicle, μ representing a fuel density of the motor vehicle, M s Represents the emission factor corresponding to the s-th fuel exhaust gas of the motor vehicle, T represents the net calorific value of the fuel of the motor vehicle, G s Representing a characteristic factor corresponding to an s-th fuel exhaust gas of the motor vehicle; n represents the number of kinds of fuel exhaust gas of the motor vehicle.
Further, the carbon emission target monitoring module includes:
a threshold setting unit for setting an upper limit value and a lower limit value of the carbon emission amount in a preset period according to the historical carbon emission data of the carbon emission target;
and the monitoring and alarming unit is used for monitoring the continuous carbon emission quantity of the carbon emission target in a preset period, judging whether the carbon emission quantity is within a threshold value or not, and alarming if the carbon emission quantity exceeds the threshold value.
Further, the system also comprises a carbon emission prediction module for predicting the carbon emission according to the carbon emission target type, the collected index parameters, the calculated carbon emission and the like.
The beneficial effects of the invention are as follows:
the invention firstly identifies static targets such as buildings and dynamic targets such as motor vehicles, judges the type of the building or the type of the motor vehicle, determines index parameters related to carbon emission according to the energy consumption characteristics of different building types or motor vehicle types, further acquires data, calculates carbon emission, presets an upper limit value and a lower limit value of periodic carbon emission, monitors the carbon emission according to whether the carbon emission exceeds a threshold value, alarms when the carbon emission exceeds the preset threshold value, can know and master whether an abnormal state exists in the whole monitoring process in real time according to whether the alarm exists or not, and can predict future carbon emission according to the calculated carbon emission at the current moment so as to provide powerful guarantee for monitoring and regulating the carbon emission.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions of the prior art, the drawings that are needed in the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic structural diagram of a carbon emission target recognition and monitoring system based on the internet of things technology according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description.
The embodiment provides a carbon emission target identification and monitoring system based on the internet of things technology, as shown in fig. 1, including: the system comprises a carbon emission target identification module, an index parameter acquisition module, a carbon emission calculation module and a carbon emission target monitoring module;
the carbon emission target identification module is used for identifying a carbon emission target and determining the type of the carbon emission target;
the index parameter acquisition module is used for determining index parameters related to carbon emission based on the type of the carbon emission target and acquiring the index parameters of the carbon emission target in a preset period;
a carbon emission calculation module for calculating a carbon emission amount of the carbon emission target according to the index parameter of the carbon emission target;
and the carbon emission target monitoring module is used for setting an upper limit value and a lower limit value of the carbon emission in a preset period according to the historical carbon emission data and judging whether the calculated carbon emission is within a threshold value.
The carbon emission target recognition module includes:
and the building target identification unit is used for identifying building targets based on the satellite remote sensing images and determining building types.
Building types include three broad categories of public buildings, daily buildings and industrial buildings, building types belonging to public buildings include but are not limited to gymnasiums, airports, building types belonging to daily buildings include but are not limited to residential buildings, farms, and building types belonging to industrial buildings include but are not limited to factories and chimneys.
Building an R3det depth neural network, performing learning training by using a satellite remote sensing image sample marked with a building type to obtain a rotating target detector based on the R3det depth neural network, and identifying the building type from the satellite remote sensing image based on the rotating target detector of the R3det depth neural network.
And the vehicle target identification unit is used for identifying the vehicle target according to the image identification technology and determining the type of the vehicle.
The index parameter acquisition module comprises:
and the building target index parameter acquisition unit is used for determining index parameters related to carbon emission according to building types and acquiring the index parameters of building targets in a preset period. Such as electricity consumption, daily life smoke exhaust, industrial production coal consumption, exhaust emission and the like.
And the vehicle target index parameter acquisition unit is used for determining the index parameters related to the carbon emission according to the vehicle type and acquiring the index parameters of the vehicle target in a preset period.
And acquiring the position information of the vehicle target according to Beidou positioning, and further determining real-time speed information. The method comprises the following steps: according to the transformation of the vehicle position information obtained by the Beidou positioning system, the Euclidean distance is combined with a scale and the like to calculate the moving distance of the vehicle (the moving distance of the vehicle is approximately linear motion because the time interval adopted in the method is short and is about 1s, and the distance measurement is carried out by adopting the Euclidean distance method), and the moving speed of the vehicle is calculated by combining the time interval of information acquisition. And determining the information such as the energy emission factor, the energy net calorific value, the characteristic factor and the like of the vehicle according to the type of the vehicle.
The carbon emission calculation module includes:
a building target carbon emission calculation unit for calculating a carbon emission amount according to an index parameter of a building target;
the calculation method comprises the following steps:
(1) Calculating the total energy consumption of the building target:
wherein E is c Representing the total energy consumption of a building target, Q ij For the consumption of the energy of the jth kind of the ith building, theta j Converting the j-th type energy source of unit quantity into a conversion coefficient of unit coal;
(2) Calculating a carbon emission amount of the building target based on the total amount of energy consumption:
E a ＝E c ×Ω
wherein E is a Representing the carbon emission of the building target, Ω represents the conversion coefficient of the unit coal into carbon dioxide.
And the vehicle target carbon emission calculation unit is used for calculating the carbon emission according to the index parameters of the vehicle target and estimating the carbon emission of the vehicle target according to the speed of the vehicle target, the energy emission factor, the energy net calorific value and the characteristic factor. The calculation method comprises the following steps:
wherein E is b Carbon emission representing a vehicle target, v representing a speed of the motor vehicle, μ representing a fuel density of the motor vehicle, M s Represents the emission factor corresponding to the s-th fuel exhaust gas of the motor vehicle, T represents the net calorific value of the fuel of the motor vehicle, G s Representing a characteristic factor corresponding to an s-th fuel exhaust gas of the motor vehicle; n representsNumber of types of fuel exhaust gases of a motor vehicle. In this embodiment the fuel produces exhaust gases mainly carbon dioxide, methane and nitrous oxide, with other gases being relatively negligible.
The carbon emission target monitoring module includes:
a threshold setting unit for setting an upper limit value and a lower limit value of the carbon emission amount in a preset period according to the historical carbon emission data of the carbon emission target; the upper limit value and the lower limit value can be set according to the total carbon emission requirement in a preset period, the preset period can be one month, two months, half year or one year, and the preset period, the total carbon emission requirement, the upper limit value and the lower limit value can be set and adjusted by the user according to the requirement of the user. The upper limit value may represent a standard upper limit of the carbon emission quality characteristic, and the lower limit value may represent a standard lower limit of the carbon emission quality characteristic.
And the monitoring and alarming unit is used for continuously monitoring the carbon emission amount of the carbon emission target in a preset period, judging whether the carbon emission amount is within a threshold value or not, and alarming if the carbon emission amount exceeds the threshold value.
In order to further optimize the technical scheme, the carbon emission target recognition and monitoring system based on the internet of things further comprises a carbon emission prediction module, wherein the carbon emission prediction module is used for predicting the carbon emission according to the carbon emission target type, the collected index parameters, the calculated carbon emission and the like. Whether the total carbon emission amount exceeds the regulation or not can be determined according to the predicted carbon emission amount, so that the follow-up supervision and regulation of the carbon emission are facilitated.
The working flow of the carbon emission target identification and monitoring system based on the internet of things technology provided by the embodiment is as follows: firstly, carrying out carbon emission target identification, primarily judging whether the carbon emission target is a static target or a dynamic target, if the carbon emission target is the static target, considering the carbon emission target as a building target, and carrying out building type identification by adopting a rotating target detector based on an R3det deep neural network; and then determining the carbon emission related index parameters according to the building type, collecting the index parameters in a preset period to calculate the carbon emission, comparing the carbon emission with a set carbon emission threshold in the period, and judging whether the carbon emission is in the threshold.
If the vehicle is a dynamic target, the vehicle is considered as the vehicle target, the vehicle model of the vehicle target is judged by adopting an image recognition technology, related index parameters are determined according to the carbon emission characteristics of motor vehicles of different models, the position information of the vehicle target is acquired based on a Beidou positioning technology, then real-time speed information is determined, further, the carbon emission in a preset period is calculated, and the carbon emission is compared with a set threshold value of the carbon emission in the period to judge whether the carbon emission is in the threshold value or not.
The invention firstly identifies static targets such as buildings and dynamic targets such as motor vehicles, judges the type of the building or the type of the motor vehicle, determines index parameters related to carbon emission according to the energy consumption characteristics of different building types or motor vehicle types, further acquires data, calculates carbon emission, presets an upper limit value and a lower limit value of periodic carbon emission, monitors the carbon emission according to whether the carbon emission exceeds a threshold value, alarms when the carbon emission exceeds the preset threshold value, can know and master whether an abnormal state exists in the whole monitoring process in real time according to whether the alarm exists or not, and can predict future carbon emission according to the calculated carbon emission at the current moment so as to provide powerful guarantee for monitoring and regulating the carbon emission.
The above embodiments are merely illustrative of the preferred embodiments of the present invention, and the scope of the present invention is not limited thereto, but various modifications and improvements made by those skilled in the art to which the present invention pertains are made without departing from the spirit of the present invention, and all modifications and improvements fall within the scope of the present invention as defined in the appended claims.
Claims (8)
1. Carbon emission target discernment and monitoring system based on internet of things, characterized by comprising: the system comprises a carbon emission target identification module, an index parameter acquisition module, a carbon emission calculation module and a carbon emission target monitoring module;
the carbon emission target identification module is used for identifying a carbon emission target and determining the type of the carbon emission target;
the index parameter acquisition module is used for determining index parameters related to carbon emission based on the type of the carbon emission target and acquiring the index parameters in a preset period of the carbon emission target;
the carbon emission calculation module is used for calculating the carbon emission amount of the carbon emission target according to the index parameter;
the carbon emission target monitoring module is used for setting an upper limit value and a lower limit value of the carbon emission in a preset period and judging whether the calculated carbon emission is in a threshold value or not;
the carbon emission target identification module, the index parameter acquisition module, the carbon emission calculation module and the carbon emission target monitoring module are sequentially connected.
2. The internet of things-based carbon emission target identification and monitoring system of claim 1, wherein the carbon emission target identification module comprises:
the building target identification unit is used for identifying a building target based on the satellite remote sensing image, determining the building type of the building target and sending the building type to the index parameter acquisition module;
and the vehicle target identification unit is used for judging the type of the vehicle target based on image identification and sending the type of the vehicle target to the index parameter acquisition module.
3. The internet of things-based carbon emission target identification and monitoring system according to claim 1, wherein the index parameter acquisition module comprises:
the building target index parameter acquisition unit is used for determining index parameters related to carbon emission according to building types and collecting the index parameters in a preset period of the building target;
and the vehicle target index parameter acquisition unit is used for determining the index parameters related to the carbon emission according to the vehicle type and acquiring the index parameters in the preset period of the vehicle target.
4. The internet of things-based carbon emission target identification and monitoring system of claim 1, wherein the carbon emission calculation module comprises:
a building target carbon emission calculation unit for calculating a carbon emission amount according to an index parameter of a building target;
and the vehicle target carbon emission calculation unit is used for calculating the carbon emission according to the index parameters of the vehicle target.
5. The internet of things-based carbon emission target identification and monitoring system according to claim 4, wherein the method for calculating the carbon emission amount of the building target comprises:
calculating the total energy consumption of the building target:
wherein E is c Representing the total energy consumption of a building target, Q ij For the consumption of the energy of the jth kind of the ith building, theta j Converting the j-th type energy source of unit quantity into a conversion coefficient of unit coal;
calculating a carbon emission amount of the building target based on the total amount of energy consumption:
E a ＝E c ×Ω
wherein E is a Representing the carbon emission of the building target, Ω represents the conversion coefficient of the unit coal into carbon dioxide.
6. The internet of things-based carbon emission target identification and monitoring system according to claim 4, wherein the method for calculating the carbon emission amount of the vehicle target comprises:
wherein E is b Carbon emission representing a vehicle target, v representing a speed of the motor vehicle, μ representing a fuel density of the motor vehicle, M s Represents the emission factor corresponding to the s-th fuel exhaust gas of the motor vehicle, T represents the net heat generation of the fuel of the motor vehicleValue of G s Representing a characteristic factor corresponding to an s-th fuel exhaust gas of the motor vehicle; n represents the number of kinds of fuel exhaust gas of the motor vehicle.
7. The internet of things-based carbon emission target identification and monitoring system of claim 1, wherein the carbon emission target monitoring module comprises:
a threshold setting unit for setting an upper limit value and a lower limit value of the carbon emission amount in a preset period according to the historical carbon emission data of the carbon emission target;
and the monitoring and alarming unit is used for monitoring the continuous carbon emission quantity of the carbon emission target in a preset period, judging whether the carbon emission quantity is within a threshold value or not, and alarming if the carbon emission quantity exceeds the threshold value.
8. The internet of things-based carbon emission target identification and monitoring system according to claim 1, further comprising a carbon emission prediction module for predicting a carbon emission amount according to a carbon emission target type, an acquired index parameter, and a calculated carbon emission amount.
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| CN115222216A (en) * | 2022-06-27 | 2022-10-21 | 青岛海尔能源动力有限公司 | Method for comprehensively monitoring energy consumption and controlling carbon emission data |
| CN115600824A (en) * | 2022-12-09 | 2023-01-13 | 国网浙江省电力有限公司金华供电公司（Cn） | Early warning method and device for carbon emission, storage medium and electronic equipment |
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