CN115619164A - Multi-dimensional carbon emission monitoring and analyzing system based on big data processing - Google Patents

Multi-dimensional carbon emission monitoring and analyzing system based on big data processing Download PDF

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CN115619164A
CN115619164A CN202211310408.XA CN202211310408A CN115619164A CN 115619164 A CN115619164 A CN 115619164A CN 202211310408 A CN202211310408 A CN 202211310408A CN 115619164 A CN115619164 A CN 115619164A
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carbon emission
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邵全
吴常胜
霍朝辉
裴丽
吴文心
石晨
陈浩
孙鹏
江龙才
许峰
林燕华
王孝友
毕玉成
李得兵
陈亨波
朱金玉
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Chizhou Power Supply Co of State Grid Anhui Electric Power Co Ltd
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Abstract

The invention discloses a multidimensional carbon emission monitoring and analyzing system based on big data processing, which comprises: the system comprises a data acquisition module, a data analysis processing module, an early warning module, a data storage module and a data display module; the data acquisition module output is connected with a data analysis processing module, the data analysis processing module output is connected with an early warning module, the early warning module output is connected with a data storage module, and the data storage module output is connected with a data display module. This multidimensional carbon emission monitoring and analyzing system based on big data processing carries out the collection of data through data acquisition module, can all-round understanding different areas's carbon emission, the data planning in the later stage of being convenient for, data transmission carries out the analysis to data analysis processing module, and data transmission carries out data storage to data storage module, the calling and the processing in the later stage of being convenient for, data display terminal is with data display, and the information of generation can be transmitted through data sending module.

Description

Multidimensional carbon emission monitoring and analyzing system based on big data processing
Technical Field
The invention relates to the technical field of big data processing, in particular to a multidimensional carbon emission monitoring and analyzing system based on big data processing.
Background
Carbon emissions are a general or short term for greenhouse gas emissions. The most predominant of the greenhouse gases is carbon dioxide, and the term carbon is therefore used as a representative. Although not exact, as the fastest known method to the public, it is simply to understand "carbon emissions" as "carbon dioxide emissions". Most scientists and governments acknowledge that greenhouse gases have gone and will continue to bring disasters to earth and humans, so the terms "control of carbon emissions", "carbon neutralization" are a cultural basis that is easily understood, accepted, and acted upon by most people. Carbon dioxide is emitted when partial products are produced, transported, used and recycled by different objects, the carbon dioxide is greenhouse gas, the emission of the carbon dioxide is generally considered as the most main cause of global warming, the environment is seriously influenced, and in order to regulate and control and reduce the emission of the carbon dioxide, on one hand, a low-carbon life style is encouraged to be adopted to reduce the emission of the carbon; on the other hand, the balance is achieved through certain carbon counteraction measures, and when the emission planning and control of carbon dioxide are carried out, the carbon emission needs to be monitored and analyzed.
At present, the existing carbon emission supervision system is not perfect enough, data statistics is incomplete, carbon emission of each industry cannot be comprehensively known, good data planning cannot be made, carbon emission supervision work in most domestic areas is still based on the energy consumption ledger of a supervised party to manually report carbon emission data, and a small part of the carbon emission supervision work is based on the original energy consumption monitoring system to be checked by an energy accounting system. Therefore, errors or omissions are easy to occur when data statistics is carried out in the mode, the data fairness and accuracy cannot be guaranteed, the emission conditions of all places cannot be dynamically reflected in real time, and function expansion is difficult to carry out. The more detailed the demand of calculating the carbon emission granularity required after adopting the offline collection statistical mode, the higher the collection complexity, the larger the statistical workload, and the failure of analyzing and judging through partial data is not beneficial to scientifically and reasonably formulating the carbon emission control policy for the region.
Disclosure of Invention
The invention aims to provide a multidimensional carbon emission monitoring and analyzing system based on big data processing, so that the data acquisition efficiency is improved, the data statistics is complete and accurate, and the carbon emission of different regions can be known in an all-around manner.
In order to achieve the purpose, the invention provides the following technical scheme: a large data processing-based multidimensional carbon emission monitoring and analyzing system comprises: the system comprises a data acquisition module, a data analysis processing module, an early warning module, a data storage module and a data display module;
the data acquisition module output is connected with a data analysis processing module, the data analysis processing module output is connected with an early warning module, the early warning module output is connected with a data storage module, and the data storage module output is connected with a data display module.
Preferably, the data acquisition module includes: the system comprises a regional coal, petroleum and natural gas consumption acquisition module, a regional power carbon emission calculation module, an environmental protection bureau database, an intelligent ammeter acquisition module and an electric carbon coefficient calculation module;
and the input end of the regional coal, petroleum and natural gas consumption acquisition module is connected with an environmental protection bureau database.
Preferably, the input end of the regional power consumption collection module is connected with an intelligent electric meter for collection, and the input end of the regional power carbon emission calculation module is connected with an electric carbon coefficient for calculation.
Preferably, the data analysis processing module includes: the system comprises a data receiving module, a carbon emission data AI processing module, a current carbon emission data unit, a predicted carbon emission data unit, a past carbon emission data unit and a data prediction unit;
the data analysis processing module is connected with a data receiving module and a data prediction unit.
Preferably, the data analysis processing module is connected with a carbon emission data AI processing module, the carbon emission data AI processing module is connected with a current carbon emission data unit, the carbon emission data AI processing module is connected with a carbon emission data prediction unit, and the carbon emission data AI processing module is connected with a past carbon emission data unit.
Preferably, the early warning module includes: the system comprises a data tracing module, a field investigation module, an expert diagnosis module, an alarm module, a voice module, a prompt module and a network module;
the early warning module is connected with data tracing, the early warning module is connected with field investigation, and the early warning module is connected with expert diagnosis.
Preferably, the early warning module is connected with an alarm module, the alarm module is connected with a voice module, the alarm module is connected with a prompt module, and the alarm module is connected with a network module.
Preferably, the data storage module includes: memory, RAM, ROM, and cache memory;
the data storage module is connected with a memory, the RAM is connected in the memory, the ROM is connected in the memory, and the cache memory is connected in the memory.
Preferably, the data presentation module includes: the data display terminal, the data chart analysis unit, the data character analysis unit, the data report generation unit, the data sending module, the WIFI communication module, the G communication module and the Bluetooth communication module are arranged in the data display terminal;
the data display terminal is internally connected with a data chart analysis unit, the data display terminal is internally connected with a data character analysis unit, and the data display terminal is internally connected with a data report generation unit.
Preferably, data display terminal in-connection has data transmission module, data transmission module in-connection has WIFI communication module, data transmission module in-connection has G communication module, data transmission module in-connection has bluetooth communication module.
Compared with the prior art, the invention has the beneficial effects that: this multidimension degree carbon emission monitoring analytic system based on big data processing carries out the collection of data through the data acquisition module, can all-round understanding different areas's carbon emission, the data planning in the later stage of being convenient for, data transmission carries out the analysis to data analysis processing module, data transmission carries out data storage to data storage module, the calling and the processing in the later stage of being convenient for, data display terminal is with data display, the information of generation can be transmitted through data transmission module.
1. The method comprises the steps of acquiring data through a data acquisition module, calling an environmental protection bureau database to know the consumption of regional coal, oil and natural gas, transmitting the data into the regional coal, oil and natural gas consumption acquisition module, acquiring regional power consumption through an intelligent electric meter, transmitting the data to the regional power consumption acquisition module, calculating and calculating the regional power carbon emission content by using an electric carbon coefficient, wherein the carbon dioxide emission (kilogram) of household power consumption is not less than the power consumption degree multiplied by 0.785, the carbon dioxide emission (kilogram) of household natural gas is not less than the natural gas consumption degree multiplied by 0.19, the carbon dioxide emission (kilogram) of household tap water is not less than the tap water consumption degree multiplied by 0.91, the calculated data is transmitted into the regional power carbon emission calculation module, and acquiring the data through the data acquisition module, so that the overall acquisition efficiency is greatly improved, the data statistics is complete and accurate, the carbon emission in different regions can be known in an all-round manner, and the later-stage data planning is convenient;
2. the data is transmitted to the data analysis processing module, the data is received through the data receiving module, and the data is processed through the carbon emission data AI processing module, wherein the carbon emission data AI processing module comprises a current carbon emission data unit, a predicted carbon emission data unit and a past carbon emission data unit, so that the current carbon emission data and the past carbon emission data can be compared through the data prediction unit to obtain predicted carbon emission data, and a user can conveniently adjust carbon emission according to the data condition;
3. if the detected data is judged to have problems, the detected data is transmitted to an early warning module, the early warning module judges whether the data is accurate by using data tracing, field troubleshooting and expert diagnosis, if the information is accurate, an alarm module is called, a voice module carries out voice broadcasting, a prompt module reminds a user of needing to adjust according to the data, a network module transmits the data to a memory, if the information is wrong, an exclusion result is fed back to the memory, the memory updates an information processing module, the sample data of the wrong case is recorded and analyzed, whether a standard value needs to be corrected or not is judged according to the wrong information, and if the standard value needs to be corrected, the parameters are fed back to a data processor through a standard management module;
4. the data are transmitted to the data storage module, the memorizer stores the data, wherein, the ROM is a read-only memorizer, which means that the memorizer can only read and can not write, therefore, the data which need not to be changed and need to be stored can be written in, the RAM is a random memorizer, namely, the data can be read and written in the memorizer at any time under the normal working condition, therefore, most of the time is stored by using the RAM, and the cache memorizer is a primary memorizer which is arranged between a main memorizer and a CPU, and consists of a static memory chip, the capacity is smaller, but the speed is much higher than that of the main memorizer, and is close to that of the CPU, therefore, the more important data are stored by using the cache memorizer, the working efficiency is improved, the data in the memorizer can be called and processed in the later period after being stored, the host computer exchanges the data with external equipment through an I/O interface, and communicates through a network adapter;
5. after data storage finishes, data display is carried out through the data display terminal, the data display terminal calls the data display module, and use data chart analysis unit to process data into chart output, use data word analysis unit to process data into text output, use data report generation unit to process data into report output, offer the user to look up and analyze, real-time dynamic reacts data, convenience of customers looks over, the information that generates can be transmitted through the data sending module, through WIFI communication module, 5G communication module and bluetooth communication module are with data transmission.
Drawings
FIG. 1 is a schematic structural view of the present invention;
FIG. 2 is a schematic diagram of a data collection module according to the present invention;
FIG. 3 is a schematic diagram of a data analysis processing module according to the present invention;
FIG. 4 is a schematic diagram of an early warning module according to the present invention;
FIG. 5 is a schematic diagram of a data storage module according to the present invention;
FIG. 6 is a block diagram of a data display module according to the present invention.
In the figure: 1. a data acquisition module; 11. the regional coal, petroleum and natural gas consumption acquisition module; 12. the regional power consumption acquisition module; 13. a regional power carbon emission calculation module; 14. an environmental protection bureau database; 15. collecting by using an intelligent ammeter; 16. calculating an electrical carbon coefficient; 2. a data analysis processing module; 21. a data receiving module; 22. a carbon emission data AI processing module; 221. current carbon emissions data unit; 222. a predicted carbon emissions data unit; 223. a past carbon emission data unit; 23. a data prediction unit; 3. an early warning module; 31. data tracing; 32. checking on site; 33. expert diagnosis; 34. an alarm module; 341. a voice module; 342. a prompt module; 343. a network module; 4. a data storage module; 41. a memory; 411. a RAM; 412. a ROM; 413. a cache memory; 5. a data display module; 51. a data display terminal; 511. a data chart analysis unit; 512. a data text analysis unit; 513. a report generation unit; 52. a data transmission module; 521. a WIFI communication module; 522. a 5G communication module; 523. and a Bluetooth communication module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
Referring to fig. 1-4, the present invention provides a technical solution: a large data processing-based multidimensional carbon emission monitoring and analyzing system comprises: the system comprises a data acquisition module 1, a data analysis processing module 2, an early warning module 3, a data storage module 4 and a data display module 5.
The output end of the data acquisition module 1 is connected with a data analysis processing module 2, the output end of the data analysis processing module 2 is connected with an early warning module 3, the output end of the early warning module 3 is connected with a data storage module 4, and the output end of the data storage module 4 is connected with a data display module 5.
Data acquisition module 1, comprising: regional coal, oil and natural gas quantity collection module 11, regional power consumption collection module 12, regional electric power carbon discharges calculation module 13, the bureau for environmental protection database 14, smart electric meter gathers 15 and electricity carbon coefficient calculates 16, regional coal, oil and natural gas quantity collection module 11 input is connected with bureau for environmental protection database 14, carry out the collection of data through data acquisition module 1, call bureau for environmental protection database 14 and know regional coal, oil and natural gas quantity, and with data transmission to regional coal, in the oil and natural gas quantity collection module 11, whole collection efficiency improves greatly.
The input end of the regional power consumption acquisition module 12 is connected with an intelligent electric meter for acquisition 15, the input end of the regional power carbon emission calculation module 13 is connected with an electric carbon coefficient for calculation 16, 15 regional power consumptions are acquired through the intelligent electric meter, and data are transmitted to the regional power consumption acquisition module 12, so that data statistics is complete and accurate, carbon emissions of different regions can be known in an all-round manner, the regional power carbon emission content is calculated by using the electric carbon coefficient for calculation 16, wherein carbon dioxide emission (kilogram) of household power consumption is = power consumption degree × 0.785, carbon dioxide emission (kilogram) of household natural gas is = natural gas use degree × 0.19, carbon dioxide emission (kilogram) of household tap water is = tap water use degree × 0.91, calculated data are transmitted to the regional power carbon emission calculation module 13, data acquisition is performed through the data acquisition module 1, and later-stage data planning is facilitated.
The data analysis processing module 2 comprises: the device comprises a data receiving module 21, a carbon emission data AI processing module 22, a current carbon emission data unit 221, a predicted carbon emission data unit 222, a past carbon emission data unit 223 and a data prediction unit 23, wherein the data analysis processing module 2 is connected with the data receiving module 21, the data analysis processing module 2 is connected with the data prediction unit 23, data are transmitted to the data analysis processing module 2, the data are received through the data receiving module 21, and the current carbon emission data and the past carbon emission data are compared through the data prediction unit 23 to obtain predicted carbon emission data.
The data analysis processing module 2 is connected with a carbon emission data AI processing module 22, the carbon emission data AI processing module 22 is connected with a current carbon emission data unit 221, the carbon emission data AI processing module 22 is connected with a predicted carbon emission data unit 222, the carbon emission data AI processing module 22 is connected with a past carbon emission data unit 223, and data are processed through the carbon emission data AI processing module 22, wherein the carbon emission data AI processing module 22 comprises the current carbon emission data unit 221, the predicted carbon emission data unit 222 and the past carbon emission data unit 223, and a user can conveniently adjust carbon emission according to data conditions.
Carbon neutralization means that discharged carbon dioxide is recycled through modes of energy conservation and emission reduction, energy source substitution, industrial adjustment and the like, so that the positive and negative balance is realized, and zero emission is finally achieved. The data analysis processing module 2 further comprises a carbon neutralization prediction module for calculating the carbon neutralization gap condition and the carbon neutralization progress condition according to the carbon emission and the carbon reduction amount, so that the regional carbon emission can be controlled, the carbon reduction work can be extracted and distributed, and the work tasks of carbon emission and carbon neutralization can be completed in a planned and targeted manner.
For example, the carbon neutralization of a certain A county area is mainly used for counteracting the carbon emission of the A county area through carbon reduction of clean energy and carbon reduction of forests, and the carbon neutralization prediction module conducts analysis prediction by establishing a carbon neutralization objective function which is as the following formula (1).
Des(x)＝F Electric power (x)+F Non-electric power (x)-G(x)-H(x) (1)
Wherein, x is a time sequence, and the invention takes the year as the corresponding time sequence;
des (x) refers to the difference between the annual carbon emission amount corresponding to x and the total carbon reduction amount, and when the difference is less than or equal to 0, carbon neutralization is realized;
F electric power (x) The annual electric power carbon emission corresponding to x;
F non-electric power (x) The annual non-electric power carbon emission corresponding to x;
g (x) is the carbon reduction amount of the annual clean energy corresponding to x;
h (x) is the carbon reduction amount of the annual forest corresponding to x.
Setting non-electric carbon emissions F Non-electric power (x) And the carbon content H (x) of the forest is kept stable, corresponding values in 2021 years are respectively taken, and the power carbon emission F is realized Electric power (x) The carbon emission value of the electric power in 2022-2025 years is predicted by linear regression analysis along with the increase of the demand of the electric power consumption, so that the carbon reduction gap of the clean energy in 2022-2025 years can be calculated.
TABLE 1A county 2022-2025 year carbon reduction gap prediction
Figure BDA0003907831700000081
Figure BDA0003907831700000091
As shown in table 1 above, assuming that the carbon reduction amount of the clean energy remains, the carbon reduction gap 101466704.8KG is predicted in 2025, which corresponds to 12811.45 ten thousand kilowatt-hours of clean energy power generation. Therefore, in 2022 to 2025, about 3203 ten thousand kilowatt hours of clean energy is newly added to generate electricity each year. And generating power according to the theoretical 8 hours, the installed capacity of the clean energy needs to be increased by 1.09 million kilowatts on average every year, and zero carbon emission can be realized in 2025. In conclusion, the predicted carbon neutralization process in county a is shown in table 2 below.
TABLE 2A county carbon neutralization progress prediction Table
Figure BDA0003907831700000092
Early warning module 3 includes: the system comprises a data tracing module 31, a field investigation module 32, an expert diagnosis module 33, an alarm module 34, a voice module 341, a prompt module 342 and a network module 343, wherein the early warning module 3 is connected with the data tracing module 31, the early warning module 3 is connected with the field investigation module 32, the early warning module 3 is connected with the expert diagnosis module 33, detected data is transmitted to the early warning module 3 if the detected data is in a problem, and the early warning module 3 judges whether the data is accurate by using the data tracing module 31, the field investigation module 32 and the expert diagnosis module 33.
The early warning module 3 is connected with an alarm module 34, the alarm module 34 is connected with a voice module 341, the alarm module 34 is connected with a prompt module 342, the alarm module 34 is connected with a network module 343, if the information is accurate, the alarm module 34 is called, the voice module 341 performs voice broadcast, the prompt module 342 reminds a user that the data needs to be adjusted, the network module 343 transmits the data to the memory 41, if the information is wrong, the elimination result is fed back to the memory 41, the memory 41 updates the information processing module, and the sample data of the wrong case is recorded and analyzed, whether the data needs to be corrected or not is judged according to the wrong standard value information, and if the data needs to be corrected, the parameters are fed back to the data processor through the standard management module.
A data storage module 4 comprising: the data storage module 4 is connected with a memory 41, the memory 41 is connected with a RAM411, the memory 41 is connected with a ROM412, the memory 41 is connected with a cache 413, data are transmitted to the data storage module 4, the memory 41 stores the data, wherein the ROM412 is a read-only memory 41, which means that the memory 41 can only read and cannot write the data which is not required to be changed and needs to be stored, the RAM411 is a random memory 41, which can read and write the data into the memory 41 at any time in a normal working state, so the data are stored by using the RAM411 most of the time, and the cache 413 is a primary memory 41 between a main memory and a CPU and consists of a static memory chip, the capacity is smaller but the speed is higher than that of the main memory and is close to the speed of the CPU, so the important data are stored by using the cache 413, the working efficiency is improved, the later calling and processing are facilitated after the data are stored, and the host exchanges the data in the memory 41 with external equipment through an I/O interface and performs communication through a network adapter.
Data presentation module 5, comprising: the data display terminal 51, the data graph analysis unit 511, the data character analysis unit 512, the data report generation unit 513, the data transmission module 52, the WIFI communication module 521, the 5G communication module 522 and the bluetooth communication module 523 are connected to the data display terminal 51, the data graph analysis unit 511 is connected to the data display terminal 51, the data character analysis unit 512 is connected to the data display terminal 51, the data report generation unit 513 is connected to the data display terminal 51, after the data is stored, the data is displayed through the data display terminal 51, the data display terminal 51 calls the data display module 5, the data is processed into a graph output by using the data graph analysis unit 511, the data is processed into a text output by using the data character analysis unit 512, the data is processed into a report output by using the data report generation unit 513 and is provided for a user to look up and analyze the data, the data is dynamically reacted in real time, and the user can conveniently look up the data.
Data display terminal 51 is internal to be connected with data transmission module 52, and data transmission module 52 is internal to be connected with WIFI communication module 521, and data transmission module 52 is internal to be connected with 5G communication module 522, and data transmission module 52 is internal to be connected with bluetooth communication module 523, and the information that generates can transmit through data transmission module 52, passes through WIFI communication module 521, 5G communication module 522 and bluetooth communication module 523 with data transmission.
The working principle is as follows: when the multidimensional carbon emission monitoring and analyzing system based on big data processing is used, firstly, data collection is carried out through a data collection module 1, an environmental protection bureau database 14 is called to know the usage amount of regional coal, oil and natural gas, the data are transmitted into a regional coal, oil and natural gas usage amount collection module 11, 15 regional power consumption amounts are collected through an intelligent electric meter, the data are transmitted to a regional power consumption amount collection module 12, the regional power carbon emission content is calculated by using an electric carbon coefficient 16, wherein the carbon dioxide emission amount (kilogram) of household power consumption is not less than power consumption degree multiplied by 0.785, the carbon dioxide emission amount (kilogram) of household natural gas is not less than natural gas usage degree multiplied by 0.19, the carbon dioxide emission amount (kilogram) of household tap water is not less than water usage degree multiplied by 0.91, the calculated data are transmitted into a regional power carbon emission calculation module 13, the data collection is carried out through the data collection module 1, the overall collection efficiency is greatly improved, the comprehensive statistics is complete and accurate, the carbon emission in different regions can be known, the later-stage data can be conveniently planned, the data are transmitted to a data analysis processing module 2, the data are discharged through a data receiving module 21, the data processing module, the data discharge processing module 22, and the data emission data processing unit includes an AI data prediction unit 223, a carbon emission data prediction unit.
Therefore, the present carbon emission data can be compared with the past carbon emission data through the data prediction unit 23 to obtain the predicted carbon emission data, which is convenient for a user to adjust the carbon emission according to the data condition, if the detected data is judged to have a problem, the detected data is transmitted to the early warning module 3, the early warning module 3 judges whether the data is accurate by using the data tracing 31, the field investigation 32 and the expert diagnosis 33, if the information is accurate, the alarm module 34 is called, the voice module 341 performs voice broadcasting, the prompt module 342 reminds the user that the data is required to be adjusted according to the data, the network module 343 transmits the data to the memory 41, if the information is wrong, the exclusion result is fed back to the memory 41, the memory 41 updates the information processing module, and records and analyzes the wrong sample data, whether the standard value needs to be corrected or not is judged according to the wrong information, if the parameters are fed back to the data processor through the standard management module, the data is transmitted to the data storage module 4, the memory 41 stores the data, wherein the ROM412 is the read-only means that the memory 41 can only read and write the data which does not need to be changed, and the data stored is written into the RAM411 which is stored in a high-speed buffer memory 411 which is similar to the RAM411, so that the RAM can be stored in a high-speed buffer memory can be stored at any time and the main memory used at any time is much longer than the CPU is formed by the normal speed memory 41, and the normal speed can be stored in the main memory 411.
Therefore, the important data is stored by using the cache memory 413, the working efficiency is improved, the later calling and processing are facilitated after the data is stored, the host exchanges data with the external device through the I/O interface and communicates with the external device through the network adapter, after the data is stored, the data is displayed through the data display terminal 51, the data display terminal 51 calls the data display module 5, the data is processed into a chart and output by using the data chart analysis unit 511, the data is processed into a text and output by using the data character analysis unit 512, the data is processed into a report and output by using the data report generation unit 513, the report is provided for a user to look up and analyze, the data is dynamically reacted in real time, the user can conveniently look up, the generated information can be transmitted through the data transmission module 52, and the data is transmitted through the WIFI communication module 521, the 5G communication module 522 and the bluetooth communication module 523, and the content which is not described in detail in the description belongs to the prior art which is well known to those skilled in the art.
Although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that various changes in the embodiments and modifications of the invention can be made, and equivalents and modifications of some features of the invention can be made without departing from the spirit and scope of the invention.

Claims (10)

1. A large data processing-based multi-dimensional carbon emission monitoring and analyzing system comprises: the system comprises a data acquisition module (1), a data analysis processing module (2), an early warning module (3), a data storage module (4) and a data display module (5), and is characterized in that;
the data acquisition module (1) output is connected with data analysis processing module (2), data analysis processing module (2) output is connected with early warning module (3), early warning module (3) output is connected with data storage module (4), data storage module (4) output is connected with data display module (5).
2. The big data processing-based multi-dimensional carbon emission monitoring and analyzing system according to claim 1, wherein: the data acquisition module (1) comprises: the system comprises a regional coal, oil and natural gas usage acquisition module (11), a regional power consumption acquisition module (12), a regional power carbon emission calculation module (13), an environmental protection agency database (14), intelligent electric meter acquisition (15) and electric carbon coefficient calculation (16);
the input end of the regional coal, oil and natural gas usage acquisition module (11) is connected with an environmental protection bureau database (14).
3. The big data processing-based multi-dimensional carbon emission monitoring and analyzing system according to claim 2, wherein: the regional power consumption acquisition module (12) input is connected with smart electric meter collection (15), regional electric power carbon emission calculation module (13) input is connected with electricity carbon coefficient and calculates (16).
4. The big data processing-based multi-dimensional carbon emission monitoring and analyzing system according to claim 1, wherein: the data analysis processing module (2) comprises: the device comprises a data receiving module (21), a carbon emission data AI processing module (22), a current carbon emission data unit (221), a predicted carbon emission data unit (222), a past carbon emission data unit (223) and a data prediction unit (23);
the data analysis processing module (2) is connected with a data receiving module (21), and the data analysis processing module (2) is connected with a data prediction unit (23).
5. The big data processing-based multi-dimensional carbon emission monitoring and analyzing system according to claim 4, wherein: the data analysis processing module (2) is connected with a carbon emission data AI processing module (22), the carbon emission data AI processing module (22) is connected with a current carbon emission data unit (221), the carbon emission data AI processing module (22) is connected with a predicted carbon emission data unit (222), and the carbon emission data AI processing module (22) is connected with a past carbon emission data unit (223).
6. The large data processing-based multi-dimensional carbon emission monitoring and analyzing system according to claim 1, wherein: the early warning module (3) comprises: the system comprises a data tracing module (31), a field investigation module (32), an expert diagnosis module (33), an alarm module (34), a voice module (341), a prompt module (342) and a network module (343);
the early warning module (3) is connected with data tracing (31), the early warning module (3) is connected with on-site investigation (32), and the early warning module (3) is connected with expert diagnosis (33).
7. The big data processing-based multi-dimensional carbon emission monitoring and analyzing system according to claim 6, wherein: the early warning module (3) is connected with an alarm module (34), the alarm module (34) is connected with a voice module (341), the alarm module (34) is connected with a prompt module (342), and the alarm module (34) is connected with a network module (343).
8. The big data processing-based multi-dimensional carbon emission monitoring and analyzing system according to claim 1, wherein: the data storage module (4) comprising: a memory (41), a RAM (411), a ROM (412), and a cache memory (413);
the data storage module (4) is connected with a memory (41), a RAM (411) is connected in the memory (41), a ROM (412) is connected in the memory (41), and a cache memory (413) is connected in the memory (41).
9. The large data processing-based multi-dimensional carbon emission monitoring and analyzing system according to claim 1, wherein: the data presentation module (5) comprising: the data display device comprises a data display terminal (51), a data chart analysis unit (511), a data character analysis unit (512), a data report generation unit (513), a data transmission module (52), a WIFI communication module (521), a 5G communication module (522) and a Bluetooth communication module (523);
the data display terminal (51) is internally connected with a data chart analysis unit (511), the data display terminal (51) is internally connected with a data character analysis unit (512), and the data display terminal (51) is internally connected with a data report generation unit (513).
10. The big data processing-based multidimensional carbon emission monitoring and analyzing system according to claim 9, wherein: data display terminal (51) in-connection have data transmission module (52), WIFI communication module (521) in data transmission module (52), 5G communication module (522) in data transmission module (52), bluetooth communication module (523) in data transmission module (52).
CN202211310408.XA 2022-10-25 2022-10-25 Multi-dimensional carbon emission monitoring and analyzing system based on big data processing Pending CN115619164A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116879503A (en) * 2023-07-14 2023-10-13 国网江苏省电力有限公司扬州市江都区供电分公司 New forms of energy carbon monitoring platform

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116879503A (en) * 2023-07-14 2023-10-13 国网江苏省电力有限公司扬州市江都区供电分公司 New forms of energy carbon monitoring platform

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