CN116026778B - Sky-ground-based park carbon emission comprehensive monitoring system and method - Google Patents
Sky-ground-based park carbon emission comprehensive monitoring system and method Download PDFInfo
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- CN116026778B CN116026778B CN202310024060.6A CN202310024060A CN116026778B CN 116026778 B CN116026778 B CN 116026778B CN 202310024060 A CN202310024060 A CN 202310024060A CN 116026778 B CN116026778 B CN 116026778B
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- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 title claims abstract description 66
- 229910052799 carbon Inorganic materials 0.000 title claims abstract description 66
- 238000012544 monitoring process Methods 0.000 title claims abstract description 62
- 238000000034 method Methods 0.000 title claims abstract description 18
- 238000012545 processing Methods 0.000 claims abstract description 47
- 238000004458 analytical method Methods 0.000 claims abstract description 37
- 238000013500 data storage Methods 0.000 claims abstract description 19
- 238000001514 detection method Methods 0.000 claims abstract description 17
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- 238000007781 pre-processing Methods 0.000 claims description 3
- 230000003068 static effect Effects 0.000 claims description 3
- 230000000737 periodic effect Effects 0.000 abstract description 3
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 description 22
- 239000007789 gas Substances 0.000 description 12
- 229910002092 carbon dioxide Inorganic materials 0.000 description 11
- 239000001569 carbon dioxide Substances 0.000 description 10
- 238000013527 convolutional neural network Methods 0.000 description 5
- 238000013528 artificial neural network Methods 0.000 description 4
- 230000009467 reduction Effects 0.000 description 4
- 238000012549 training Methods 0.000 description 4
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- 238000005259 measurement Methods 0.000 description 2
- ORILYTVJVMAKLC-UHFFFAOYSA-N Adamantane Natural products C1C(C2)CC3CC1CC2C3 ORILYTVJVMAKLC-UHFFFAOYSA-N 0.000 description 1
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 description 1
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Abstract
The invention discloses a sky-ground-based park carbon emission comprehensive monitoring system and method, comprising the following steps: the system comprises a region dividing module, a data acquisition module, a processing analysis module, a data storage module, a central processing unit and a display module; the regional division module is used for carrying out monitoring grade division on the park; the data acquisition module is used for acquiring carbon emission data of three modes of sky and earth; the processing analysis module is used for comprehensively analyzing and processing the carbon emission data and judging whether to send out an alarm according to an analysis result; the central processing unit is used for updating the monitoring level according to the signal sent by the processing analysis module; according to the invention, periodic monitoring is carried out by dividing monitoring grades in a targeted way, and continuous detection is carried out by adopting an infrared monitor so as to avoid missed detection; the unmanned aerial vehicle is detected within a set height range, and meteorological information is considered in the designed height range, so that a result is more accurate; and the monitoring grade is updated through the comparison of the single data and the standard data, so that dynamic and comprehensive real-time monitoring is realized.
Description
Technical Field
The invention belongs to the technical field of carbon emission monitoring, and particularly relates to a sky-ground-based park carbon emission comprehensive monitoring system and method.
Background
CO in industrial park, thermal power plant and other high carbon emission park 2 The emissions respectively account for CO 2 30% and 40% of the total emission amount, and both are centralized fixed carbon emission sources, have the inherent advantages of carbon monitoring and emission reduction, and are key targets for scientific and accurate carbon emission reduction. Carbon dioxide (CO) 2 ) The emission reduction of (2) depends on an accurate carbon emission monitoring system, and objective, accurate and verifiable carbon emission data is an important basis and premise for government environmental legislation, pollution source emission limit and assessment policy establishment, carbon emission reduction progress control and establishment of mutually trusted and authoritative carbon trade markets. Monitoring carbon dioxide emissions, directly from gaseous emissionsThe method can be used for calculating by measuring the flow of the flue gas, the concentration of carbon dioxide and the like, or calculating by starting from the inlet fuel amount/raw material and combining parameters such as carbon content and the like. The methods are complex in operation and strict in data requirement, are difficult to operate or have limited accuracy in practical application, have high requirements on equipment, and have high monitoring cost.
In order to comprehensively grasp the carbon emission characteristics of the park, meet the monitoring and management requirements of fine description and trace source tracing, and cannot realize effective observation of the carbon emission process by means of a single observation means and method. The unified technical specification is formulated for the integrated monitoring of the multi-scale carbon emission sky, and the development and establishment of a sound standardized and unified three-dimensional monitoring network become urgent demands and necessary trends.
The accuracy of carbon emission obtained by the existing single monitoring means is insufficient, and the three-dimensional monitoring technology based on multiple platforms and multiple means lacks a unified technical specification, and the corresponding technical support is weak.
Disclosure of Invention
The invention aims to provide a sky-ground-based park carbon emission comprehensive monitoring system and method, which are used for solving the problems in the prior art.
In order to achieve the above object, the present invention provides a system for comprehensively monitoring carbon emission in a sky-based land, comprising:
the system comprises a region dividing module, a data acquisition module, a processing analysis module, a data storage module, a central processing unit and a display module;
the regional division module is used for carrying out monitoring grade division on the park;
the data acquisition module is used for acquiring carbon emission data of three modes of sky and ground;
the processing analysis module is used for comprehensively analyzing and processing the carbon emission data and judging whether to send out an alarm according to an analysis result;
the data storage module is used for storing process data;
the central processing unit is used for updating the monitoring level according to the signal sent by the processing analysis module;
the display module is used for summarizing and displaying various data in a chart form;
the region dividing module, the data acquisition module and the processing analysis module are connected in sequence,
the data storage module is respectively connected with the region dividing module, the data acquisition module and the processing analysis module, and the display module is connected with the data storage module and the processing analysis module.
Optionally, the regional division module comprises a campus information acquisition unit and a monitoring grade division unit;
the park information acquisition unit is used for acquiring a park planning drawing and park information; the campus information includes, but is not limited to, plant distribution, plant type, plant scale;
the monitoring grade classification unit is used for classifying the monitoring grade according to the type of the plant, marking the plant on the park planning chart based on the scale of the plant and the distribution of the plant corresponding to different grades, marking different grades by adopting different labels and colors, and transmitting information of each plant and the corresponding labels to the data storage module for storage.
Optionally, the data acquisition module comprises a satellite remote sensing unit, an unmanned aerial vehicle unit and a foundation detection unit;
the satellite remote sensing unit is used for acquiring timed remote sensing data according to the transit time of the polar orbit satellite or the signal interval time of the static satellite to obtain a satellite image;
the unmanned aerial vehicle unit is used for acquiring a preset height range and acquiring air gas data in the height range;
the foundation detection unit is used for acquiring near-earth air data by adopting an infrared monitor; the foundation detection unit comprises a plurality of infrared monitors which are uniformly distributed on the periphery of the park for continuous data acquisition.
Optionally, the weather information is acquired from the unmanned aerial vehicle unit, the preset height range is set according to the weather information, and the unmanned aerial vehicle unit sets time intervals of acquiring data in different areas according to the monitoring level.
Optionally, the processing analysis module includes: the system comprises a data processing unit, an analysis unit and a warning unit;
the data processing unit is used for processing and fusing the satellite image map, the air gas data and the near-earth air data to obtain comprehensive carbon emission data;
the analysis unit is used for judging whether abnormal emission behaviors exist or not according to the data and comprises a first judgment subunit and a second judgment subunit;
the warning unit is used for judging the warning type according to the signal type, sending a warning and sending the comprehensive carbon emission data to the central processing unit.
Optionally, the first judging subunit judges whether the park has an out-of-standard condition according to the comprehensive carbon emission data, if so, acquires the near-ground air data of the out-of-standard region in a fixed time period, judges whether the comprehensive carbon emission data is abnormal, if not, transmits a first signal to the warning unit, and if so, invokes the infrared monitor responsible for the corresponding region to perform preliminary confirmation, and records the abnormality;
and the second judging subunit acquires historical data, analyzes carbon emission trend according to the comprehensive carbon emission data and the historical data, acquires the historical comprehensive carbon emission data if the data fluctuation exceeds a threshold value, performs global comparison of a park, judges whether the out-of-standard emission exists, and sends a second signal to the warning unit if the out-of-standard emission exists.
Optionally, the data storage module includes a first storage unit, a second storage unit, and a third storage unit;
the first storage unit is used for storing park information;
the second storage unit is used for storing remote sensing data, unmanned aerial vehicle data and foundation detection data;
the third storage unit is used for storing analysis results and warning records.
Also provides a method for comprehensively monitoring carbon emission of a park based on sky land, which is characterized in that,
acquiring monitoring grades of different areas in a park;
acquiring a satellite image map, air gas data and ground-near air data in a preset height range;
setting an acquisition period of air gas data in a preset height range according to the monitoring grade;
preprocessing a satellite image map and air gas data in a preset height range to obtain a distribution situation vector map, and fusing the distribution situation vector map of the air gas data and the near-earth air data into the satellite distribution situation vector map and respectively displaying to obtain comprehensive carbon emission data;
acquiring historical monitoring data and the comprehensive carbon emission data, and judging whether abnormal behaviors exist by combining the near-earth air data; if yes, sending out an alarm and recording.
The invention has the technical effects that:
according to the invention, the monitoring grades of different areas in the park are divided by the registration information of the factories in the park, the periodic monitoring is carried out in a targeted manner, and in order to avoid the condition of missing detection caused by the simple periodic monitoring, an infrared monitor is adopted for continuous detection; the unmanned aerial vehicle detects the limit height range of the acquired data according to the weather information before periodically acquiring the data each time, considering the influence of the weather information, especially the wind direction and the wind speed when the height range is designed, so that the result is more accurate, the data in each stage is stored and used as historical reference data, the monitoring grade is updated through the comparison of single data and standard data by comparing and judging the trend, and the dynamic and comprehensive real-time monitoring is realized; according to different judgment bases, different warning signals are sent out, roles corresponding to the warning signals are different, modes are different, and the influence on a normal operation factory is avoided.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application, illustrate and explain the application and are not to be construed as limiting the application. In the drawings:
fig. 1 is a schematic diagram of a system structure according to an embodiment of the present invention.
Detailed Description
It should be noted that, in the case of no conflict, the embodiments and features in the embodiments may be combined with each other. The present application will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer executable instructions, and that although a logical order is illustrated in the flowcharts, in some cases the steps illustrated or described may be performed in an order other than that illustrated herein.
Example 1
As shown in fig. 1, the embodiment provides a system and a method for comprehensively monitoring carbon emission of a park based on sky, which comprises the following steps:
the system comprises a region dividing module, a data acquisition module, a processing analysis module, a data storage module, a central processing unit and a display module;
the regional division module is used for carrying out monitoring grade division on the park;
the data acquisition module is used for acquiring carbon emission data of three modes of sky and earth;
the processing analysis module is used for comprehensively analyzing and processing the carbon emission data and judging whether to send out an alarm according to an analysis result;
the data storage module is used for storing process data;
the central processing unit is used for updating the monitoring level according to the signal sent by the processing analysis module;
the display module is used for summarizing and displaying various data in a chart form;
the regional division module, the data acquisition module and the processing analysis module are connected in sequence,
the data storage module is respectively connected with the region dividing module, the data acquisition module and the processing analysis module, and the display module is connected with the data storage module and the processing analysis module.
Specifically, the regional division module comprises a park information acquisition unit and a monitoring grade division unit;
the park information acquisition unit is used for acquiring park planning drawings and park information; park information includes, but is not limited to, plant distribution, plant type, plant scale;
the monitoring grade classification unit is used for classifying the monitoring grade according to the type of the plant, marking the plant on the park planning chart based on the scale of the plant and the distribution of the plant corresponding to different grades, marking different grades by adopting different labels and colors, and transmitting the information of each plant and the corresponding labels to the data storage module for storage.
Specifically, the data acquisition module comprises a satellite remote sensing unit, an unmanned aerial vehicle unit and a foundation detection unit;
the satellite remote sensing unit is used for acquiring timed remote sensing data according to the transit time of the polar orbit satellite or the signal interval time of the static satellite to obtain a satellite image;
the unmanned aerial vehicle unit is used for acquiring a preset height range and acquiring air gas data in the height range;
the foundation detection unit is used for acquiring near-earth air data by adopting an infrared monitor; the foundation detection unit comprises a plurality of infrared monitors which are uniformly distributed on the periphery of the park for continuous data acquisition.
Specifically, the weather information is acquired from the unmanned aerial vehicle unit, the preset height range is set according to the weather information, and the unmanned aerial vehicle unit sets time intervals for acquiring data in different areas according to the monitoring level.
Specifically, the processing analysis module includes: the system comprises a data processing unit, an analysis unit and a warning unit;
the data processing unit is used for processing and fusing the satellite image map, the air gas data and the near-earth air data to obtain comprehensive carbon emission data;
the analysis unit is used for judging whether abnormal emission behaviors exist or not according to the data and comprises a first judgment subunit and a second judgment subunit;
the warning unit is used for judging the warning type according to the signal type, sending a warning and sending the comprehensive carbon bank data to the central processing unit.
Specifically, the first judging subunit judges whether the park has an out-of-standard condition according to the comprehensive carbon emission data, if so, acquires the near-ground air data of the out-of-standard area in a fixed time period, judges whether the comprehensive carbon emission data is abnormal, if not, transmits a first signal to the warning unit, and if so, invokes the infrared monitor responsible for the corresponding area to perform preliminary confirmation, and records the abnormality;
the second judging subunit acquires historical data, analyzes carbon emission trend according to the comprehensive carbon emission data and the historical data, acquires the historical comprehensive carbon emission data if the data fluctuation exceeds a threshold value, performs park global comparison, judges whether the excessive emission exists, and sends a second signal to the warning unit if the excessive emission exists.
The method can be implemented, a neural network is constructed, and a mixed network of a convolutional neural network and a fully-connected neural network is adopted to extract the data characteristics. The convolutional neural networks (Conv 1 and Conv 2) are used for extracting park CO collected by the infrared carbon dioxide monitor 2 Distributing spatial features; the fully connected network (FC 1, FC 2) is used to extract the relevant parameter characteristics of the carbon dioxide concentration. The convolutional neural networks (Conv 1 and Conv 2) and fully connected networks (FC 1, FC 2) extract features that are combined by one fully connected layer (FC 3). After combination, the data are divided into two paths of data, one path of data is used for comparing with the acquired carbon satellite data, and the network parameters of the convolutional neural networks (Conv 1 and Conv 2) and the fully connected networks (FC 1, FC2 and FC 3) are adjusted in a mode of error (loss 1, see formula 1) back propagation; the other path of data jointly enters the last fully-connected layer FC4, the fully-connected layer FC4 outputs a result, and the result is compared with the total concentration C0 of CO2 directly detected in the step S31, and the network parameters of the convolutional neural networks (Conv 1 and Conv 2) and the fully-connected networks (FC 1, FC2, FC3 and FC 4) are optimized in a mode of error (loss 2) back propagation. The networks Conv1 and Conv2 and the networks FC1, FC2 and FC3 receive double correction of the carbon satellite data and the direct detection data, and the accuracy and the rationality of network parameters are ensured. The neural network activation function adopts a Relu function, and an Adam optimizer is used for carrying out optimization solution.
The processed data samples are divided into training data and test data. Training is carried out by adopting a designed network structure, wherein the training rate is 0.8, the training times are 100, the learning rate is 0.001, and the batch size is set to be 16. The convergence condition is that the Mean Square Error (MSE) of loss1 and loss2 is smaller than a set threshold, as shown in equations (1) - (3).
Wherein, fc3_out and Fc4_out respectively represent output values of the full-connection layers FC3 and FC4 of the hybrid neural network; s_sample represents the carbon satellite measurement of the overhead CO in the park during the measurement period 2 Concentration; set_error represents a convergence function setting threshold; m represents the number of samples.
Specifically, the data storage module comprises a first storage unit, a second storage unit and a third storage unit;
the first storage unit is used for storing park information;
the second storage unit is used for storing remote sensing data, unmanned aerial vehicle data and foundation detection data;
the third storage unit is used for storing the analysis result and the warning record.
Also provides a method for comprehensively monitoring carbon emission of a park based on sky land, which is characterized in that,
acquiring monitoring grades of different areas in a park;
acquiring a satellite image map, air gas data and ground-near air data in a preset height range;
setting an acquisition period of air gas data in a preset height range according to the monitoring level;
preprocessing the satellite image map and air gas data in a preset height range to obtain a distribution situation vector map, and fusing the distribution situation vector map of the air gas data and the near-earth air data into the satellite distribution situation vector map and respectively displaying to obtain comprehensive carbon emission data;
acquiring historical monitoring data and comprehensive carbon emission data, and judging whether abnormal behaviors exist by combining the near-earth air data; if yes, sending out an alarm and recording.
The foregoing is merely a preferred embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions easily contemplated by those skilled in the art within the technical scope of the present application should be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (3)
1. Sky-ground-based park carbon emission comprehensive monitoring system, which is characterized by comprising:
the system comprises a region dividing module, a data acquisition module, a processing analysis module, a data storage module, a central processing unit and a display module;
the regional division module is used for carrying out monitoring grade division on the park;
the data acquisition module is used for acquiring carbon emission data of three modes of sky and ground;
the processing analysis module is used for comprehensively analyzing and processing the carbon emission data and judging whether to send out an alarm according to an analysis result;
the data storage module is used for storing process data;
the central processing unit is used for updating the monitoring level according to the signal sent by the processing analysis module;
the display module is used for summarizing and displaying various data in a chart form;
the region dividing module, the data acquisition module and the processing analysis module are connected in sequence,
the data storage module is respectively connected with the region dividing module, the data acquisition module and the processing analysis module, and the display module is connected with the data storage module and the processing analysis module;
the regional division module comprises a park information acquisition unit and a monitoring grade division unit;
the park information acquisition unit is used for acquiring a park planning drawing and park information; the campus information includes, but is not limited to, plant distribution, plant type, plant scale;
the monitoring grade classification unit is used for classifying monitoring grades according to the types of the factories, marking the factories on the park planning chart based on the scale of the factories and the distribution of the factories corresponding to the different grades, marking the different grades by adopting different labels and colors, and transmitting the information of each factory and the corresponding labels to the data storage module for storage;
the data acquisition module comprises a satellite remote sensing unit, an unmanned aerial vehicle unit and a foundation detection unit;
the satellite remote sensing unit is used for acquiring timed remote sensing data according to the transit time of the polar orbit satellite or the signal interval time of the static satellite to obtain a satellite image;
the unmanned aerial vehicle unit is used for acquiring a preset height range and acquiring air gas data in the height range;
the foundation detection unit is used for acquiring near-earth air data by adopting an infrared monitor; the foundation detection unit comprises a plurality of infrared monitors which are uniformly arranged on the periphery of the park to perform continuous data acquisition;
the process analysis module comprises: the system comprises a data processing unit, an analysis unit and a warning unit;
the data processing unit is used for processing and fusing the satellite image map, the air gas data and the near-earth air data to obtain comprehensive carbon emission data;
the analysis unit is used for judging whether abnormal emission behaviors exist or not according to the data and comprises a first judgment subunit and a second judgment subunit;
the warning unit is used for judging the warning type according to the signal type, sending a warning and sending the comprehensive carbon bank data to the central processing unit;
the first judging subunit judges whether the park has an out-of-standard condition according to the comprehensive carbon bank data, if so, acquires the near-ground air data of the out-of-standard area in a fixed time period, judges whether the comprehensive carbon bank data is abnormal, if not, transmits a first signal to the warning unit, and if so, invokes an infrared monitor of the corresponding area for preliminary confirmation, and records the abnormality;
the second judging subunit acquires historical data, analyzes carbon emission trend according to the comprehensive carbon emission data and the historical data, acquires historical comprehensive carbon emission data if data fluctuation exceeds a threshold value, performs global comparison of a park, judges whether out-of-standard emission exists, and sends a second signal to the warning unit if out-of-standard emission exists;
a comprehensive carbon emission monitoring method of a comprehensive monitoring system for park carbon emission based on sky land comprises the following steps:
acquiring monitoring grades of different areas in a park;
acquiring a satellite image map, air gas data and ground-near air data in a preset height range;
setting an acquisition period of air gas data in a preset height range according to the monitoring grade;
preprocessing a satellite image map and air gas data in a preset height range to obtain a distribution situation vector map, and fusing the distribution situation vector map of the air gas data and the near-earth air data into the satellite distribution situation vector map and respectively displaying to obtain comprehensive carbon emission data;
acquiring historical monitoring data and the comprehensive carbon emission data, and judging whether abnormal behaviors exist by combining the near-earth air data; if yes, sending out an alarm and recording.
2. The integrated sky-based campus carbon emission monitoring system of claim 1, wherein,
the unmanned aerial vehicle unit acquires meteorological information, the preset height range is set according to the meteorological information, and the unmanned aerial vehicle unit sets time intervals for acquiring data in different areas according to the monitoring level.
3. The integrated sky-based campus carbon emission monitoring system of claim 1, wherein,
the data storage module comprises a first storage unit, a second storage unit and a third storage unit;
the first storage unit is used for storing park information;
the second storage unit is used for storing remote sensing data, unmanned aerial vehicle data and foundation detection data;
the third storage unit is used for storing analysis results and warning records.
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