CN112114086A - Method and system for determining regional greenhouse gas emission data - Google Patents
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Abstract
The embodiment of the application discloses a method and a system for determining regional greenhouse gas emission data. One embodiment of the method comprises: acquiring city category information of a target city; if the category is the first category, determining the corresponding statistic data as the activity level data; if the category is the second category, determining activity level data based on the corresponding energy consumption data; if the category is the third category, determining activity level data based on a preset ratio value and corresponding energy consumption data; if the category is the fourth category, determining the energy consumption data of the target city according to a preset ratio value, and then determining the activity level data according to the energy consumption data. Based on the activity level data, corresponding greenhouse gas emission data is determined as a preset emission value. According to the embodiment, greenhouse gas emission data in a certain area can be reasonably determined, reasonable and scientific evaluation and dynamic monitoring are carried out on the greenhouse gas emission data, regional greenhouse gas emission can be balanced, and the environmental protection level is improved.
Description
Technical Field
The application belongs to the technical field of environmental protection, and particularly relates to a method and a system for determining regional greenhouse gas emission data.
Background
Greenhouse gases are gases which absorb the long-wave radiation reflected by the ground and re-emit the radiation, such as water vapor,Carbon dioxide, most refrigerants, etc. Their function is to make the earth's surface warmer, similar to the function of a greenhouse to trap solar radiation, and to heat the air in the greenhouse. Water vapor (H)2O), carbon dioxide (CO)2) Nitrous oxide (N)2O), Freon, methane (CH)4) Etc. are the main greenhouse gases in the earth's atmosphere, with the main greenhouse gases of carbon dioxide, methane, nitrous oxide, etc. being derived primarily from the direct and indirect emissions of fossil fuels.
The influence of global greenhouse gases on the environment is becoming more and more serious, and no exception is made in China. The macroscopic regulation and control of the emission of greenhouse gases is imperative. Particularly in the fields of energy industry, industry and construction industry, the contribution to greenhouse gases is large, and the influence is profound, so that the actual emission data of the greenhouse gases are mastered, the emission is reasonably and scientifically guided, and dynamic monitoring is performed, which is urgent.
Disclosure of Invention
The embodiment of the application provides a method for determining regional greenhouse gas emission data, which comprises the following steps:
acquiring city category information of a target city;
if the city category represented by the city category information is a first preset city category, determining statistical data corresponding to the target city as activity level data of the target city;
if the city category represented by the city category information is a second preset city category, determining activity level data of the target city based on the energy consumption data corresponding to the target city;
if the city category represented by the city category information is a third preset city category, determining activity level data of the target city based on a preset ratio value and energy consumption data corresponding to the target city;
if the city category represented by the city category information is a fourth preset city category, determining energy consumption data of the target city according to a preset ratio value, and then determining activity level data of the target city according to the energy consumption data.
And determining greenhouse gas emission data corresponding to the target city as a preset emission value based on the activity level data.
Further, some embodiments disclose a method of determining regional greenhouse gas emission data, comprising:
acquiring dynamic emission information of greenhouse gases of a target urban greenhouse gas emission point, wherein the dynamic emission information comprises geographical position information of the greenhouse gas emission point, greenhouse gas emission amount, greenhouse gas emission type and time information;
transmitting the dynamic emission information to a monitoring terminal, processing the dynamic emission information by the monitoring terminal according to a preset emission value, and judging whether the greenhouse gas emission of a target urban greenhouse gas emission point meets the preset emission value or not;
if the greenhouse gas emission of the target urban greenhouse gas emission point exceeds a preset emission value, the monitoring terminal feeds back information to the target urban greenhouse gas emission point, the target urban greenhouse gas emission point starts an emergency mode, and the fuel emission state is checked; the monitoring terminal sends out alarm information and makes an emergency response instruction;
and the monitoring terminal adjusts the preset information at any time according to the dynamic emission information so as to dynamically adjust the actual emission amount of the greenhouse gas at the target urban greenhouse gas emission point.
Some embodiments disclose the method for determining regional greenhouse gas emission data, wherein the processing of the dynamic emission information by the monitoring terminal comprises:
identifying geographic location information;
selecting corresponding emission indexes, emission categories and related information thereof according to the geographical position information;
according to the geographical position information, the emission index, the emission category and the related information thereof, carrying out matching comparison with the collected dynamic emission information;
if the matching comparison is completed, judging whether the dynamic emission information is within a preset emission value range;
and if the matching comparison fails, updating the dynamic emission information, and repeatedly starting the matching comparison.
Some embodiments disclose the method for determining regional greenhouse gas emission data, further comprising setting up a greenhouse gas emission motorized sampling detection point, wherein the motorized sampling detection point performs sampling detection on the greenhouse gas emission point at any time according to the emergency response instruction.
Further, according to the method for determining regional greenhouse gas emission data disclosed by some embodiments, according to the emergency response instruction, the mobile sampling detection point sends an operation instruction to the greenhouse gas emission monitoring unmanned aerial vehicle, the monitoring unmanned aerial vehicle performs sampling detection on the greenhouse gas emission point, and feeds back sampling detection information to the monitoring terminal.
Further, some embodiments disclose the method of determining regional greenhouse gas emission data, wherein monitoring the unmanned aerial vehicle for sample detection of greenhouse gas emission points comprises:
monitoring the unmanned aerial vehicle to fly to a sampling detection point according to the geographic position information in the operation instruction;
the monitoring unmanned aerial vehicle determines a sampling mode according to the geographical position information and the greenhouse gas emission information;
starting a selected sampling mode, and carrying out sampling detection operation;
transmitting sampling detection sampling information to a control terminal;
and according to the instruction of the control terminal, performing repeated sampling detection or returning to a dynamic detection point.
In some embodiments, in the method for determining regional greenhouse gas emission data, the monitoring terminal determines the real fuel emission information of the target urban greenhouse gas emission point according to the fed-back sampling detection information, and the real fuel emission information is used as reference information for adjusting the preset emission value.
Some embodiments disclose a method for determining regional greenhouse gas emission data, wherein the processing of the sampling inspection information comprises:
the monitoring terminal receives the sampling detection information and identifies the geographical position information contained in the sampling detection information;
selecting corresponding emission indexes, emission categories and related information thereof according to the geographical position information;
according to the geographical position information, the emission index, the emission category and the related information thereof, carrying out cross matching comparison with the previously received dynamic emission information and the sampling detection information;
if the cross matching is finished, judging whether the dynamic discharge amount is in a reasonable range;
if the discharge point is within the reasonable range, adjusting the preset discharge value of the discharge point; if not, an emergency plan is initiated to prevent excessive emissions.
In another aspect, some embodiments disclose a system for determining regional greenhouse gas emission data, comprising:
the dynamic emission information detection device is used for detecting the emission information of the target urban greenhouse gas emission point;
information transmission means for transmitting the discharge information;
the monitoring terminal is used for processing the dynamic emission information;
the monitoring terminal specifically comprises:
the cloud server is used for receiving, storing and processing the dynamic emission information;
the area monitoring terminal is connected with the cloud server and used for reading the dynamic emission information of the cloud server and processing results of the dynamic emission information;
and the client terminal is connected with the cloud server and the area monitoring terminal and is used for receiving information and instructions of the cloud server and the area monitoring terminal.
Furthermore, the system for determining regional greenhouse gas emission data further comprises a dynamic detection point, wherein the dynamic detection point comprises a greenhouse gas emission monitoring unmanned aerial vehicle and is used for carrying out dynamic sampling detection on the greenhouse gas emission point of the target city according to the operation instruction of the monitoring terminal.
The method and the system for determining regional greenhouse gas emission data disclosed by the embodiment of the invention can reasonably determine the regional greenhouse gas emission data, reasonably and scientifically evaluate the regional greenhouse gas emission data, further can balance regional greenhouse gas emission through dynamic monitoring, improve the environmental protection level and promote the green sustainable development of regional society and economy.
Drawings
Other features, objects and advantages of the present application will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:
FIG. 1 is a flow chart of one embodiment of a method according to embodiment 1 of the present application;
fig. 2 is a system composition schematic diagram of one embodiment of a system according to embodiment 2 of the present application.
Detailed Description
The present application will be described in further detail with reference to the following drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant application and are not limiting of the application. It should be noted that, for the convenience of description, only the parts related to the related applications are shown in the drawings.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
In some embodiments, a method of determining regional greenhouse gas emission data comprises:
acquiring city category information of a target city; the greenhouse gases directly and indirectly emitted by fossil fuels are directly related to the types and emission levels of emission sources, the fossil fuel emission of each region and each city is different from the specific emission sources and emission levels, and the emission difference among cities is caused by the dynamic change of each industry in economic development in different periods, so that the cities are classified according to the contents, the greenhouse gas emission data can be reasonably determined, the scientific monitoring on the greenhouse gas emission is guided, the monitoring cost is reduced, and the monitoring efficiency is improved;
if the city category represented by the city category information is a first preset city category, determining statistical data corresponding to the target city as activity level data of the target city; generally, the greenhouse gas emission of some cities presents a relatively stable situation, the expression levels in different periods of history are basically kept consistent, and the existing statistical data which are scientifically counted and proved to be relatively reasonable can be basically adopted as activity level data in a period of time in the future; generally, the activity level referred to herein refers to the activity level associated with greenhouse gas emissions;
if the city category represented by the city category information is a second preset city category, determining activity level data of the target city based on the energy consumption data corresponding to the target city; generally, some cities have higher development speed, larger economic structure adjustment and active economic activities, the activity degree of activities related to greenhouse gas emission is high, compared with historical statistical data, the greenhouse gas emission contribution related to dynamic energy consumption activities is more obvious, the influence factors are obviously enhanced, and the activity level data of city categories based on the energy consumption data is more reasonable and objective;
if the city category represented by the city category information is a third preset city category, determining activity level data of the target city based on a preset ratio value and energy consumption data corresponding to the target city; greenhouse gas emission of some cities presents a relatively unstable situation, the expression level of the cities in different periods of history presents a certain change rule, the change trend can be basically represented by a certain change factor, such as a ratio value K, and the ratio value K and statistical data which are proved to be relatively reasonable can be used as part of activity level data; meanwhile, the continuously-appearing more active energy consumption data also increasingly remarkably contribute to the greenhouse gases, and in the urban category, the activity level of the urban energy consumption data related to the greenhouse gas emission is determined by combining statistical data and dynamic energy consumption data, so that the urban energy consumption data is more reasonable; in some embodiments, the industry-wide consumption data can be expanded from industry-wide consumption data to industry-wide consumption data by the ratio value K; the calculation formula is:
industrial energy consumption x (1+ K) on a scale of all-industry energy consumption;
if the city category represented by the city category information is a fourth preset city category, determining energy consumption data of the target city according to a preset ratio value, and then determining activity level data of the target city according to the energy consumption data. Usually, a unique development mode and a unique development condition appear in the development of some cities, and dynamic energy consumption data has a direct relation with historical statistical data with a certain change rule, so that activity level data of the target cities can be calculated according to the direct relation, and the method is more intuitive and effective; in some embodiments, the sub-category energy consumption of the industrial totality above the scale can be firstly expanded to the whole industry through the ratio value K, and the sub-category energy consumption of the industrial totality is subdivided into various industries through the industrial sub-industry comprehensive energy consumption data above the scale, and the calculation formula is as follows:
energy consumption of the whole industry
Total energy consumption of the industry on a scale of more than one (1)
+ K) (comprehensive energy consumption of industry division over scale
Comprehensive energy consumption of industry totality over division scale)
And determining greenhouse gas emission data corresponding to the target city as a preset emission value based on the activity level data. The interaction level data determined based on the city category is combined with a specific emission factor to obtain greenhouse gas emission data; as greenhouse gas emission data, the influence of the greenhouse gas emission data on the environment can be reasonably expected and evaluated, and monitoring and supervision on the greenhouse gas activity of cities in an area are carried out according to the greenhouse gas emission data. Greenhouse gas emission data includes emission data for carbon dioxide, methane, and nitrous oxide for fossil energy related emissions.
In general, dynamic energy consumption needs to consider apparent consumption amounts of primary energy and secondary energy, such as primary energy production amount, primary energy and secondary energy outsource/regional dispatch amount, primary energy and secondary energy inside ship and airplane outside refueling amount, primary energy and secondary energy outside ship and airplane inside refueling amount, primary energy and secondary energy import amount, primary energy and secondary energy export amount, primary energy and secondary energy annual initial inventory amount, primary energy and secondary energy annual inventory amount. Meanwhile, the activity level needs to be adjusted according to different industries. For example, the activity level data of the public power industry and the public heating power industry refers to the energy input of energy processing and converting equipment (such as a power generation boiler and an industrial boiler) of a main production system, the energy consumption of an auxiliary production system and an auxiliary production system directly serving for production. The consumption of fossil fuel should be reduced by the amount of energy recovered and used and the amount of loss (physical loss, leakage, etc.) in the processes of primary energy production, transportation, distribution, storage, etc.
Generally, the statistical data is from industrial industry terminal energy consumption scales, industrial enterprise energy consumption scales with more than scale, industrial enterprise energy purchase, consumption and inventory tables and the like. The urban energy statistical data is derived from reports of energy consumption units statistically, and enterprise energy consumption data or reference urban enterprise carbon check data can be obtained from bottom to top through a survey method under the condition that detailed energy consumption statistical data cannot be obtained. Possible data sources are enterprise original record data, enterprise ledgers, enterprise statistical reports, enterprise carbon check data and the like.
Generally, in the energy industry field, the preset emission value of activity level data related to energy consumption data can be obtained by the following calculation formula (1):
Ageneral assembly＝QGeneral assembly-QRecovering-QLoss of power-QInternal friction…………(1)
In the formula (1), the reaction mixture is,
Ageneral assembly: the activity level data is preset with an emission value;
Qgeneral assembly: total energy consumption;
Qrecovering: recycling the energy utilization amount;
Qloss of power: loss in the processes of primary energy production, transportation, distribution, storage, etc.;
Qinternal friction: energy consumption of internal transportation means;
furthermore, cities may use different methods for different greenhouse gas species, for carbon dioxide emissions the emission factor depends mainly on the carbon content of the fuel, the combustion conditions, such as combustion efficiency, carbon residue in slag and ashes, etc., are relatively unimportant, and therefore the source category carbon dioxide emissions may be relatively accurately estimated based on the amount of fuel combusted and the fuel average emission factor; however, the methane and nitrous oxide emission factors are dependent on combustion technology and operating conditions, and vary widely between different combustion plants and different periods, and therefore, the source class of methane and nitrous oxide emissions should try to adopt a specific model and measurement based on detailed technology; in some embodiments, the emission factor of carbon dioxide is determined according to the following equation (2):
EFco2＝NCV×CC×OF×44÷12…………(2)
in the formula (2), the reaction mixture is,
EFco2: factor representing emission of carbon dioxide
NCV: indicating the average lower calorific value of fossil fuels
CC: representing the average carbon content per unit calorific value of fossil fuels
OF: indicating the average carbon oxidation rate of fossil fuels
The emission factors of methane and nitrous oxide are calculated according to the existing standard of real consumption.
The relation between greenhouse gas emission data and activity level and emission factor is formula (3):
E＝AD×EF…………(3)
in the formula (3), the reaction mixture is,
e: data indicating greenhouse gas emission (emission)
AD: indicating activity level
EF: representing the emission factor.
In some embodiments, a method of determining regional greenhouse gas emission data, further comprises:
acquiring dynamic emission information of greenhouse gases at a target urban greenhouse gas emission point, wherein the dynamic emission information comprises geographical position information of the greenhouse gas emission point, greenhouse gas emission amount, greenhouse gas emission type and time information; generally, in a target city, a plurality of greenhouse gas emission points are distributed, such as energy consumption industrial enterprises, energy consumption agricultural enterprises, energy consumption service industries and the like, meanwhile, considering energy consumption activities with different quantities and scales, such as the whole industry branch type energy consumption of industry branch, the industry general branch type energy consumption, the industry branch type energy consumption of the industry above scale and the like, based on the differentiation of target city types, the greenhouse gas emission of greenhouse gas emission points of a target city can be further refined, the greenhouse gas types, emission amount, emission plan change and the like of specific emission points are further subdivided, dynamic emission information of greenhouse gas can be more favorably scientifically determined, and the monitoring level and monitoring capacity are improved;
transmitting the dynamic emission information to a monitoring terminal, processing the dynamic emission information by the monitoring terminal according to a preset emission value, and judging whether the greenhouse gas emission of a target urban greenhouse gas emission point meets the preset emission value or not; if the preset emission value is met, the emission level of the emission point can be determined to be kept at the preset emission level and be in a normal state, and then the periodical dynamic monitoring is repeatedly carried out;
if the greenhouse gas emission of the target urban greenhouse gas emission point exceeds a preset emission value, the monitoring terminal feeds back information to the target urban greenhouse gas emission point, the target urban greenhouse gas emission point starts an emergency mode, and the fuel emission state is checked; the monitoring terminal sends out alarm information and makes an emergency response instruction; generally, if the abnormal condition is the abnormal condition, abnormal information needs to be fed back to the discharge point in time, the discharge point enters an emergency mode, the abnormal condition is checked, the reason of the abnormal dynamic discharge information is determined, and the reason is eliminated in time; meanwhile, an emergency response instruction needs to be sent, a third-party emergency response mechanism needs to be set to respond to the emergency response instruction in time, abnormal emission of greenhouse gases is supervised and checked, a monitoring terminal is ensured to obtain real actual emission data, the responded mechanism is started to eliminate the abnormality, the actual emission data is accurately recorded, and the greenhouse gas emission data of the emission point is integrally controlled and adjusted;
and the monitoring terminal adjusts the preset information at any time according to the dynamic emission information so as to dynamically adjust the actual emission amount of the greenhouse gas at the target urban greenhouse gas emission point. Generally, greenhouse gas emission is conducted under unified macroscopic guidance, emission standards of a target city and emission points of the target city are required to be executed in the same emission range, dynamic real-time emission needs to be coordinated with the emission range, and dynamic emission information is an important data source for adjusting the emission range determined by preset emission information.
In some embodiments, the processing of the dynamic emission information by the monitoring terminal includes: identifying geographic location information; selecting corresponding emission indexes, emission categories and relevant information thereof according to the identified geographical position information; further carrying out matching comparison with the collected dynamic emission information; usually, through matching and comparison, whether the identity information of the emission point is consistent and is consistent with the emission information can be judged, and whether the reliability degree and the emission level of the emission information are normal is determined; if the matching comparison fails, dynamic emission information needs to be updated, the identity information of the emission point and the greenhouse gas emission information are updated in time, the matching comparison is repeatedly started, and if the matching comparison fails again, the monitoring terminal makes an abnormal emission instruction, indicates and records the abnormal information. Optionally, the emergency response mechanism starts an emergency plan, verifies the identity of the emission point and greenhouse gas emission data information thereof, and updates preset emission information and preset emission values in the monitoring terminal.
In some embodiments, a greenhouse gas emission maneuvering sampling detection point is set up, and the greenhouse gas emission point is sampled and detected at any time according to emergency response instructions. Generally, a mobile sampling detection point for greenhouse gas emission is used as a three-party mechanism, random and regular sampling detection is carried out on a target urban greenhouse gas emission point according to an instruction of a monitoring terminal, and sampling detection data is used as a reference basis of dynamic emission data and can also be used as reference information for updating or adjusting a preset emission value.
In some embodiments, the greenhouse gas emission maneuvering sampling detection point is provided with a greenhouse gas monitoring unmanned aerial vehicle, the unmanned aerial vehicle can accurately detect the information such as the type, the quantity, the concentration and the like of greenhouse gas, can accurately position the greenhouse gas emission point of a target city, can implement remote operation, can communicate information with the monitoring terminal, and transmits the detected information to the monitoring terminal in time; usually, according to the emergency response instruction, the mobile sampling detection point sends an operation instruction to the greenhouse gas emission monitoring unmanned aerial vehicle, the monitoring unmanned aerial vehicle starts an operation mode, the greenhouse gas emission point is positioned, flies to a target emission point and is subjected to sampling detection, and sampling detection information is fed back to the monitoring terminal.
In some embodiments, monitoring the unmanned aerial vehicle for sample detection of greenhouse gas emission points comprises: the monitoring unmanned aerial vehicle flies to a sampling detection point according to the geographic position information in the operation instruction, and a sampling mode is determined according to the geographic position information and the greenhouse gas emission information; in order to determine that the identity of the discharge point is correct, an image recognition function can be set for the unmanned aerial vehicle, a representative marker of the discharge point is photographed, and image recognition is carried out to enhance the accuracy of the identity of the discharge point; after the identity information is determined to be correct, starting a selected sampling mode, starting greenhouse gas sampling and analysis, determining accurate information of greenhouse gas, and transmitting the accurate information to the control terminal; the control terminal takes the information of the sampling detection as new dynamic emission information to carry out recognition and analysis, and then sends a further instruction to the mobile sampling detection point of the greenhouse gas emission. And according to the instruction of the control terminal, the monitoring unmanned aerial vehicle carries out repeated sampling detection or returns to a maneuvering sampling detection point.
In some embodiments, the monitoring terminal judges the real fuel emission information of the target urban greenhouse gas emission point according to the fed-back sampling detection information, and the real fuel emission information is used as reference information for adjusting the preset emission value. Generally, after the information of the sampling detection of the monitoring unmanned aerial vehicle is determined as real emission data, the real emission data is used as dynamic emission data of the emission point and is used as data for adjusting a preset emission value.
In some embodiments, the processing procedure of the sampling detection information by the monitoring terminal includes: the monitoring terminal receives the sampling detection information, identifies the geographical position information contained in the sampling detection information, determines the identity information of the emission point according to the geographical position information, selects the corresponding preset emission values such as the emission indexes, the emission types and the related information thereof, and performs cross matching comparison on the preset emission values and the previously received dynamic emission information and sampling detection information; after the cross matching is finished, judging whether the dynamic discharge amount is within a reasonable range, and if so, adjusting the preset discharge value of the discharge point; if the emission point is not in the reasonable range, an emergency plan is started to prevent excessive emission, and the preset emission value of the emission point is adjusted according to the new dynamic emission value.
Some embodiments disclose a system for determining regional greenhouse gas emission data, the system comprising: the system comprises an information detection device, an information transmission device and a monitoring terminal, wherein the information detection device is used for detecting dynamic emission information of a target urban greenhouse gas emission point; wherein, monitor terminal specifically includes: the cloud server is used for receiving, storing and processing the dynamic emission information; the area monitoring terminal is connected with the cloud server and used for reading the dynamic emission information of the cloud server and processing results of the dynamic emission information; the client terminal is connected with the cloud server and the area monitoring terminal and used for receiving information and instructions of the cloud server and the area monitoring terminal; and the dynamic detection point comprises a greenhouse gas emission monitoring unmanned aerial vehicle for dynamically sampling and detecting greenhouse gas emission points of the target city according to the operation instruction of the monitoring terminal.
In the following detailed description, specific details are set forth in order to provide a better understanding of the present disclosure. It will be understood by those skilled in the art that the present invention may be practiced without some of these specific details. In the examples, some methods, means, apparatuses, devices, raw material compositions, molecular structures, etc. known to those skilled in the art are not described in detail in order to highlight the gist of the present invention.
FIG. 1 is a flowchart of a method for determining regional greenhouse gas emission data according to example 1, first, city category information of a target city is obtained;
if the city category represented by the city category information is a first preset city category, determining the statistical data of the city category as activity level data; if the city is the second preset city category, determining the energy consumption data of the city as the activity level data of the city; if the city is the third preset city category, determining the ratio value and the energy consumption data of the city, and taking the ratio value and the energy consumption data as activity level data of the city; if the city category is the fourth preset city category, determining a ratio value, determining energy consumption data according to the ratio value, and determining activity level data according to the energy consumption data;
respectively determining greenhouse gas emission data corresponding to each target city based on the activity level data of each target city, wherein the greenhouse gas emission data are used as preset emission values;
acquiring dynamic emission information of greenhouse gases of a target urban greenhouse gas emission point, wherein the dynamic emission information comprises geographical position information of the greenhouse gas emission point, greenhouse gas emission amount, greenhouse gas emission type and time information;
transmitting the dynamic emission information to a monitoring terminal, processing the dynamic emission information by the monitoring terminal according to a preset emission value, and judging whether the greenhouse gas emission of a target urban greenhouse gas emission point meets the preset emission value or not;
if the greenhouse gas emission of the target urban greenhouse gas emission point exceeds a preset emission value, the monitoring terminal feeds back information to the target urban greenhouse gas emission point, the target urban greenhouse gas emission point starts an emergency mode, and the fuel emission state is checked; the monitoring terminal sends out alarm information and makes an emergency response instruction;
and the motorized sampling detection point performs sampling detection on greenhouse gas emission points at any time according to the emergency response instruction. The sampling detection data is transmitted to a monitoring terminal for identification and analysis;
and the monitoring terminal adjusts the preset information at any time according to the dynamic emission information and the sampling detection information so as to dynamically adjust the actual emission amount of the greenhouse gas at the target urban greenhouse gas emission point.
FIG. 2 is a schematic diagram of the system for determining regional greenhouse gas emission data in example 2. In the system, an information detection device is in communication connection with an information transmission device, and the information transmission device is in communication connection with a cloud server; the regional supervision terminal and the client terminal are in communication connection with each other and are in communication connection with the cloud server; the region monitoring terminal is connected with the greenhouse gas emission dynamic detection point in a communication mode.
The method and the system for determining regional greenhouse gas emission data disclosed by the embodiment of the invention can reasonably determine the regional greenhouse gas emission data, reasonably and scientifically evaluate the regional greenhouse gas emission data, further can balance regional greenhouse gas emission through dynamic monitoring, improve the environmental protection level and promote the green sustainable development of regional society and economy.
The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention herein disclosed is not limited to the particular combination of features described above, but also encompasses other arrangements formed by any combination of the above features or their equivalents without departing from the spirit of the invention.
Claims (10)
1. A method of determining regional greenhouse gas emission data, comprising:
acquiring city category information of a target city;
if the city category represented by the city category information is a first preset city category, determining statistical data corresponding to the target city as activity level data of the target city;
if the city category represented by the city category information is a second preset city category, determining activity level data of the target city based on energy consumption data corresponding to the target city;
if the city category represented by the city category information is a third preset city category, determining activity level data of the target city based on a preset ratio value and energy consumption data corresponding to the target city;
if the city category represented by the city category information is a fourth preset city category, determining energy consumption data of a target city according to a preset ratio value, and then determining activity level data of the target city according to the energy consumption data.
And determining greenhouse gas emission data corresponding to the target city as a preset emission value based on the activity level data.
2. The method of claim 1, further comprising:
acquiring greenhouse gas dynamic emission information of a target urban greenhouse gas emission point, wherein the dynamic emission information comprises geographical position information of the greenhouse gas emission point, greenhouse gas emission amount, greenhouse gas emission type and time information;
transmitting the dynamic emission information to a monitoring terminal, wherein the monitoring terminal processes the dynamic emission information according to the preset emission value and judges whether the greenhouse gas emission of the target urban greenhouse gas emission point meets the preset emission value or not;
if the greenhouse gas emission of the target urban greenhouse gas emission point is judged to exceed a preset emission value, the monitoring terminal feeds back information to the target urban greenhouse gas emission point, the target urban greenhouse gas emission point starts an emergency mode, and the fuel emission state is checked; the monitoring terminal sends out alarm information and makes an emergency response instruction;
and the monitoring terminal adjusts the preset emission value at any time according to the dynamic emission information so as to dynamically adjust the actual emission amount of the greenhouse gas at the target urban greenhouse gas emission point.
3. The method of claim 2, wherein the processing of the dynamic emission information by the monitoring terminal comprises:
identifying geographic location information;
selecting corresponding emission indexes, emission categories and related information thereof according to the geographical position information;
according to the geographical position information, the emission index, the emission category and the related information thereof, carrying out matching comparison with the collected dynamic emission information;
if the matching comparison is completed, judging whether the dynamic emission information is within a preset emission value range;
and if the matching comparison fails, updating the dynamic emission information, and repeatedly starting the matching comparison.
4. The method according to claim 2 or 3, further comprising establishing a mobile sampling detection point for greenhouse gas emissions, said mobile sampling detection point sampling said greenhouse gas emissions at any time according to emergency response instructions.
5. The method according to claim 4, wherein the mobile sampling detection point sends a working instruction to a greenhouse gas emission monitoring unmanned aerial vehicle according to an emergency response instruction, and the monitoring unmanned aerial vehicle performs sampling detection on the greenhouse gas emission point and feeds back sampling detection information to the monitoring terminal.
6. The method of claim 5, wherein the monitoring of the sampled detection of the greenhouse gas emission points by the drone comprises:
monitoring the unmanned aerial vehicle to fly to a sampling detection point according to the geographic position information in the operation instruction;
the monitoring unmanned aerial vehicle determines a sampling mode according to the geographical position information and the greenhouse gas emission information;
starting a selected sampling mode, and carrying out sampling detection operation;
transmitting sampling detection sampling information to a control terminal;
and according to the instruction of the control terminal, performing repeated sampling detection or returning to a dynamic detection point.
7. The method according to claim 5, wherein the monitoring terminal judges the real information of the fuel emission of the target urban greenhouse gas emission point according to the fed back sampling detection information as the reference information for adjusting the preset emission value.
8. The method of claim 5, wherein the processing of the sample detection information comprises:
the monitoring terminal receives the sampling detection information and identifies the geographical position information contained in the sampling detection information;
selecting corresponding emission indexes, emission categories and related information thereof according to the geographical position information;
according to the geographical position information, the emission index, the emission category and the related information thereof, carrying out cross matching comparison with the previously received dynamic emission information and the sampling detection information;
if the cross matching is finished, judging whether the dynamic discharge amount is in a reasonable range;
if the discharge point is within the reasonable range, adjusting the preset discharge value of the discharge point; if not, an emergency plan is initiated to prevent excessive emissions.
9. A system for determining regional greenhouse gas emission data, comprising:
the dynamic emission information detection device is used for detecting the dynamic emission information of the target urban greenhouse gas emission point;
information transmission means for transmitting the dynamic discharge information;
the monitoring terminal is used for processing the dynamic emission information;
the monitoring terminal specifically comprises:
the cloud server is used for receiving, storing and processing the dynamic emission information;
the area monitoring terminal is connected with the cloud server and used for reading the dynamic emission information of the cloud server and processing results of the dynamic emission information;
and the client terminal is connected with the cloud server and the area monitoring terminal and is used for receiving information and instructions of the cloud server and the area monitoring terminal.
10. The system according to claim 9, further comprising a dynamic detection point, wherein the dynamic detection point comprises a greenhouse gas emission monitoring unmanned aerial vehicle for performing dynamic sampling detection on the greenhouse gas emission point according to the operation instruction of the monitoring terminal.
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| CN201910544275.4A CN112114086A (en) | 2019-06-21 | 2019-06-21 | Method and system for determining regional greenhouse gas emission data |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113281466A (en) * | 2021-05-17 | 2021-08-20 | 吴迅海 | Calibration method and device for carbon emission detection and computer storage medium |
| CN114113481A (en) * | 2021-11-24 | 2022-03-01 | 特斯联科技集团有限公司 | Enterprise greenhouse gas source capturing system |
| CN114359001A (en) * | 2022-03-21 | 2022-04-15 | 广东埃文低碳科技股份有限公司 | Urban carbon disk checking intelligent management system and method |
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2019
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113281466A (en) * | 2021-05-17 | 2021-08-20 | 吴迅海 | Calibration method and device for carbon emission detection and computer storage medium |
| CN114113481A (en) * | 2021-11-24 | 2022-03-01 | 特斯联科技集团有限公司 | Enterprise greenhouse gas source capturing system |
| CN114359001A (en) * | 2022-03-21 | 2022-04-15 | 广东埃文低碳科技股份有限公司 | Urban carbon disk checking intelligent management system and method |
| CN114359001B (en) * | 2022-03-21 | 2022-06-07 | 广东埃文低碳科技股份有限公司 | Intelligent management system and method for urban carbon disk inquiry |
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Application publication date: 20201222 |