CN108776853A - A kind of online carbon emission sensing and detecting system and method - Google Patents
A kind of online carbon emission sensing and detecting system and method Download PDFInfo
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- CN108776853A CN108776853A CN201810249203.2A CN201810249203A CN108776853A CN 108776853 A CN108776853 A CN 108776853A CN 201810249203 A CN201810249203 A CN 201810249203A CN 108776853 A CN108776853 A CN 108776853A
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Abstract
A kind of online carbon emission sensing and monitoring system of enterprise and method, including communication module, online carbon emission conversion module, upper cloud module and cloud server；The communication module obtains the carbon emission source dosage information from enterprise；The online carbon emission conversion module receives carbon emission source dosage information and calculates carbon emission amount according to corresponding carbon emission method and discharge parameter；Carbon emission amount is uploaded to cloud server by cloud module on this；The cloud server carries out statistics and analysis to carbon emission amount.Carbon emission evaluation work facilitation of the present invention, enterprise need to only arrange this device at the scene, it can be ensured that product specification is not present secondary input, enterprise is facilitated to know emphasis carbon emission source.
Description
Technical field
The present invention relates to carbon emission monitoring field, especially a kind of online carbon emission sensing and detecting system and method.
Background technology
National carbon transaction market formally started on December 19th, 2017, it is meant that using carbon emission power as the city of trading object
Field behavior will gradually penetrate into more and more industries in enterprise, and wherein transaction agent is carbon emission amount.Currently, domestic
General carbon emission amount interrogates and examines work and relies primarily on manpower, and all and carbon emission associated emission source is counted by enterprise carbon emission assistant director
Data calculate the carbon emission amount (i.e. greenhouse gas emissions) of enterprise, this method consumption in conjunction with parametric synthesis such as emission factors
When effort, and data accuracy, preciseness, trackability need to be investigated, and cannot ensure.Certainly, it is no lack of in the market for each
Greenhouse gases (CO2, CH4, N2O, HFCs, PFCs, SF6 ...) sensor, but it is of high cost, installation is difficult, measurement point is more, discharges indirectly
Data (carbon emission that net power purchase power, net purchase heating power generate indirectly), which can not directly measure greenhouse gases amount, can directly measure greenhouse gas
Body discharge capacity, therefore considered from installation cost and enforcement difficulty, many enterprises often hang back；While carbon is interrogated and examined between further including
Emission measurement is connect, i.e., indirect net power purchase power purchases heating power only, and such greenhouse gas emission need to be by conversion, and non-sensor can be straight
It connects and measures.
Invention content
It is a primary object of the present invention to overcome drawbacks described above in the prior art, propose a kind of by device encapsulation carbon row
Discharge parameter, the method for putting calculating avoid cumbersome artificial interrogate and examine and are put into high-cost sensor.
The present invention adopts the following technical scheme that：
A kind of online carbon emission sensing and monitoring system of enterprise, it is characterised in that：It is converted including communication module, online carbon emission
Module, upper cloud module and cloud server；The communication module obtains the carbon emission source dosage information from enterprise；The online carbon row
Conversion module is put to receive carbon emission source dosage information and calculate carbon emission amount according to corresponding carbon emission method and discharge parameter；It should
Carbon emission amount is uploaded to cloud server by upper cloud module；The cloud server carries out statistics and analysis to carbon emission amount.
The communication module includes one or more in internet, modbus, canbus.
The online carbon emission conversion module includes that the first communication unit, the second communication unit, CPU element and storage are single
Member；First communication unit is communicated with the communication module；Second communication unit is communicated with the upper cloud module；The storage list
Member stores the corresponding carbon emission computational methods of each emission source and discharge parameter；The CPU element is communicated with the first communication unit, second
Unit, storage element are connected to calculate carbon emission amount.
The upper cloud module is by 3G, 4G, 5G, internet or WIFI total carbon emission is uploaded to cloud server
Or receive the newest carbon emission method and discharge parameter.
Further include having Real time displaying module, which is installed on enterprise scene and turns with the online carbon emission
Change the mold block communication.
The communication module, the online carbon emission conversion module and the upper cloud module integration packaging are in flight data recorder.
A kind of online carbon emission sensor monitoring method of enterprise, it is characterised in that：The carbon emission source dosage information of enterprise is obtained,
Carbon emission amount is calculated according to corresponding carbon emission method and discharge parameter and is uploaded to cloud server, passes through cloud server pair
Carbon emission amount carries out statistics and analysis.
The carbon emission source dosage information includes coal-fired dosage, amount of lime and power usage.
The cloud server carries out statistics and analysis using time domain/frequancy signal anaysis method, subtracts carbon mistake by analysis
Each frequency separation section Energy distribution trend accounting situation that disturbing signal in Cheng Bianliang is composed in frequency domain accumulated energy, adjusts this and subtracts
Subtract carbon space height present in carbon process variable, subtracts carbon process variable to find emphasis.
The cloud server using equipment fault diagnosis or neural network prediction or SVM model predictions to carbon emission amount into
Row statistics and analysis.
By the above-mentioned description of this invention it is found that compared with prior art, the present invention has the advantages that：
1, the present invention extensively obtains very much the carbon emission source dosage information of enterprise, according to corresponding carbon emission method and discharge parameter
It calculates carbon emission amount and is uploaded to cloud server, statistics and analysis, carbon emission are carried out to carbon emission amount by cloud server
Evaluation work facilitation, enterprise need to only arrange this device at the scene, it can be ensured that secondary input is not present in product specification, needs
The acquiescence discharge parameter that only timely updates wanted.
2, the present invention is convenient in flight data recorder by communication module, online carbon emission conversion module, upper cloud module integration packaging
It installs, reduces cost, is easy to universal.
3, cloud server of the invention using time domain/frequancy signal anaysis method, fault diagnosis, neural network prediction or
SVM model predictions etc. carry out statistics and analysis to carbon emission amount, can be according to discharge source category, discharge activity type, scope type
Etc. being counted respectively, enterprise is facilitated to know emphasis carbon emission source.
4, the present invention uses time domain/frequancy signal anaysis method, and the feelings of each frequency band Energy distribution are composed by accumulated energy
Condition, it is known that subtract the control optimization space that carbon process variable corresponds to equipment, to which directly reaction subtracts the height in carbon space.
Description of the drawings
Fig. 1 is present system composition figure；
Fig. 2 is module map of the present invention；
Fig. 3 apparatus of the present invention Organization Charts；
Wherein：10, communication module, 20, online carbon emission conversion module, the 21, first communication unit, the 22, second communication unit
Member, 23, CPU element, 24, FLASH units, 25, EEPROM cell, 30, upper cloud module, 40, cloud server, 50, online aobvious
Show module.
Specific implementation mode
Below by way of specific implementation mode, the invention will be further described.
Referring to figs. 1 to Fig. 3, a kind of online carbon emission sensing and monitoring system of enterprise, including communication module 10, online carbon emission
Conversion module 20, upper cloud module 30, cloud server 40, Real time displaying module 50 etc..The communication module 10, which obtains, comes from enterprise
Energy measuring system carbon emission source dosage information, can receive acquisition module in energy measuring system, enterprise information system
Different protocol datas, the communication module 10 is including internet, modbus, canbus etc..The acquisition module is enterprise
It is voluntarily installed on enterprise scene, may include carbon emission sensor for acquiring carbon emission source dosage information sensor, change of weighing
It includes coal-fired dosage, amount of lime, power usage etc. to send device, intelligent electric meter, flowmeter etc., carbon emission source dosage information, is adopted
The data of collection will reach online carbon emission conversion module, calculate and use for carbon emission.
The online carbon emission conversion module 20 can be the highly integrated computing module such as microcontroller, when module default setting,
The acquiescence discharge parameter that guide summarizes is calculated in the national newest greenhouse gas emission of 24 industries of encapsulation and each emission source corresponds to
Carbon emission computational methods.Discharge parameter refer to carbon emission calculate needed for emission factor, low heat value, emission source content,
The parameters such as carbon content, CO2/C conversion factors are build-in attribute parameters.Standard carbon emission computational methods refer to every profession and trade greenhouse gas
Body discharges accounting method computational methods corresponding with each discharge activity specified in reporting requirement (GBT 32151), reference can be made to
The wherein national standard of power industry《GBT 32151.1-2015《Greenhouse gas emission accounting and reporting requirement part 1：Power generation enterprise
Industry》.
Specifically, the online carbon emission conversion module 20 is mono- including the first communication unit 21, the second communication unit 22, CPU
Member 23, storage element and RTC real-time clocks etc..First communication unit 21 is communicated with communication module 10, for receiving from enterprise
The carbon emission source dosage information of industry information system or acquisition module.The storage element includes FLASH units 24 and EEPROM cell
25, which stores the corresponding carbon emission computational methods of each emission source, the EEPROM cell 25 storage discharge parameter.
The CPU element 23 is connected with the first communication unit 21, the second communication unit 22, storage element, can be according to corresponding carbon emission side
Method and discharge parameter calculate carbon emission amount.Second communication unit 22 is communicated with upper cloud module 30, for sending carbon emission amount
Supreme cloud module 30.
Carbon emission amount is uploaded to cloud server 40 by cloud module 30 on this, is used for high in the clouds statistics and analysis.Cloud on this
Module 30 can pass through the modes such as 3G, 4G, Internet, WIFI.Meanwhile this module can receive the newer newest discharge ginseng in high in the clouds
Number and standard carbon emission computational methods, are updated to online carbon emission conversion module.Wherein, newest discharge parameter includes state
The newer acquiescence discharge parameter of family and enterprise meet the discharge parameter of itself emission source attribute.
The cloud server 40 carries out statistics and analysis to carbon emission amount.The object of 40 statistics and analysis of cloud server is
Result of calculation, i.e. carbon emission amount.Carbon emission amount can be distinguished according to discharge source category, discharge activity type, scope type etc.
Statistics, facilitates enterprise to know emphasis carbon emission source.Meanwhile because be the real time data based on time dimension, therefore it is analyzed
It may include：The retrospect of carbon emission historical data, future emission trend prediction, the energy saving period diagnosis of emphasis etc..Analysis method includes：When
Domain/frequancy signal anaysis, fault diagnosis, neural network prediction, SVM model predictions etc..
Real time displaying module 50 is installed on enterprise scene and is communicated with online carbon emission conversion module 20.The Real time displaying mould
Block 50 can be the displays such as touch screen, LCD, LED, OLED, for the result of calculation of online carbon emission conversion module is real-time
It shows, the assembling of the matched with devices such as the Real time displaying module 50 and online carbon emission conversion module 20 is mounted on enterprise scene.
Carbon emission that the result of calculation of display calculates in real time calculates that total amount, (fire coal, fuel oil, combustion gas, lime stone etc. can for each emission source
Through production process generate CO2 object become emission source) carbon emission result of calculation, each scope (every profession and trade greenhouse gas emission core
Defined in calculation method and reporting requirement (GBT 32151)) carbon emission result of calculation etc..The Real time displaying module 50 can also with set
Snap fit is set so that discharge parameter, threshold value etc. is arranged.
The system of the present invention in practical applications can be by communication module 10, online carbon emission conversion module 20, upper cloud mould
30 integration packaging of block in flight data recorder, enterprise and the relevant emission source real-time usage of carbon emission (coal-fired dosage, amount of lime,
Net purchase of electricity etc.) input signal as device, join with officials' acquiescence discharges such as emission factor, the low heat values of enclosed inside
Number calculates, and finally, the total carbon emission that device is calculated to gained is uploaded to cloud server 40 in real time.
Meanwhile when the discharge parameter of official's acquiescence is changed or enterprise is joined using itself actual discharge is more met
Number, high in the clouds can real-time online modified discharge parameter is reversely sent in online carbon emission conversion module 20, module is then pressed
The follow-up calculating of carbon emission is carried out according to newest parameter.
The present invention also proposes a kind of online carbon emission sensor monitoring method, including as follows：By enterprise information system or adopt
Collect the carbon emission source dosage information that module obtains enterprise, using the module of encapsulation according to corresponding carbon emission method and discharge parameter
It calculates carbon emission amount and is uploaded to cloud server 40, cloud server 40 uses time domain/frequancy signal anaysis or equipment fault
Diagnosis or neural network prediction or SVM model predictions carry out statistics and analysis to carbon emission amount.Equipment fault diagnosis is to pass through carbon
Emission source dosage information etc. judges equipment operation exception situation, prediction service life etc..Neural network prediction is instructed by machine
To practice a large amount of carbon emission sample datas, approaches the correct trend of carbon emission, self study goes out more accurately and reliably carbon emission trend model,
To predict the carbon emission amount of following a period of time.The processing to small sample set data is supported in SVM model predictions, is had good
Generalization ability, it is relatively preferable to carbon emission trend prediction effect.
Wherein:Time domain/frequancy signal anaysis is to subtract the disturbing signal in carbon process variable by analysis to add up energy in frequency domain
Measure spectrum each frequency separation section Energy distribution trend accounting situation, adjust this subtract present in carbon process variable subtract carbon space height
It is low, subtract carbon process variable to find emphasis.
Each frequency range distribution trend computational methods of energy that accumulated energy spectrum accounts for each frequency point are as follows：
Step1：Calculate the Energy distribution percentage P (ω) of each frequency point
Wherein, ωNRepresent Nyquist (Nyquist) frequency point.
Step2：Cumlative energy percentage C (ω) is calculated, i.e.,：Cumlative energy spectrum
Step3：Define low-frequency range, Mid Frequency, high band
1. 0 < ωL≤ 20% ωN：Low-frequency range is between Nyquist frequency point 0 to 20%.For control angle, low frequency
Segment signal easily follows, and easily performs control work, to optimize production procedure.And the distribution of low-frequency range disturbing signal is more, then says
There is no implementations to efficiently control the operations such as optimization for the bright equipment, there are wasting of resources phenomenon, can speculate that the equipment has optimization
Space it is bigger.
2. 20% ωN< ωM≤ 60% ωN：Mid Frequency is between Nyquist frequency point 20% to 60%.Mid Frequency between
Between low frequency and high frequency, this part represents the equipment and there is certain controllable optimization space, but control effect be also between
Between low frequency and high frequency.
3. 60% ωN< ωH100% ω of <N：High band is between Nyquist frequency point 60% to 100%.High band is believed
Number difficulty is followed, is difficult to control, if control optimization have to be carried out to the equipment, the cost performance of efficiency will be very low, therefore, the frequency
There are the sizes in space for energy conversion unit for the signal height of section.
Therefore, the case where composing each frequency band Energy distribution from accumulated energy, it is known that subtract the control that carbon process variable corresponds to equipment
System optimization space, to which directly reaction subtracts the height in carbon space.
The specific implementation mode of the present invention is above are only, but the design concept of the present invention is not limited thereto, it is all to utilize this
Conceive the change for carrying out unsubstantiality to the present invention, the behavior for invading the scope of the present invention should all be belonged to.
Claims (10)
1. a kind of online carbon emission sensing and monitoring system of enterprise, it is characterised in that：Including communication module, online carbon emission modulus of conversion
Block, upper cloud module and cloud server；The communication module obtains the carbon emission source dosage information from enterprise；The online carbon emission
Conversion module receives carbon emission source dosage information and calculates carbon emission amount according to corresponding carbon emission method and discharge parameter；On this
Carbon emission amount is uploaded to cloud server by cloud module；The cloud server carries out statistics and analysis to carbon emission amount.
2. a kind of online carbon emission sensing and monitoring system of enterprise as described in claim 1, it is characterised in that：The communication module
Including one or more in internet, modbus, canbus.
3. a kind of online carbon emission sensing and monitoring system of enterprise as described in claim 1, it is characterised in that：The online carbon row
It includes the first communication unit, the second communication unit, CPU element and storage element to put conversion module；First communication unit and institute
State communication module communication；Second communication unit is communicated with the upper cloud module；It is corresponding that the storage element stores each emission source
Carbon emission computational methods and discharge parameter；The CPU element be connected with the first communication unit, the second communication unit, storage element with
Calculate carbon emission amount.
4. a kind of online carbon emission sensing and monitoring system of enterprise as described in claim 1, it is characterised in that：The upper cloud module
It is arranged by 3G, 4G, 5G, internet or WIFI with total carbon emission to be uploaded to cloud server or receive the newest carbon
Put method and discharge parameter.
5. a kind of online carbon emission sensing and monitoring system of enterprise as described in claim 1, it is characterised in that：Further include having online
Display module, the Real time displaying module are installed on enterprise scene and are communicated with the online carbon emission conversion module.
6. a kind of online carbon emission sensing and monitoring system of enterprise as described in claim 1, it is characterised in that：The communication mould
Block, the online carbon emission conversion module and the upper cloud module integration packaging are in flight data recorder.
7. a kind of online carbon emission sensor monitoring method of enterprise, it is characterised in that：Obtain the carbon emission source dosage information of enterprise, root
Carbon emission amount is calculated according to corresponding carbon emission method and discharge parameter and is uploaded to cloud server, by cloud server to carbon
Discharge capacity carries out statistics and analysis.
8. a kind of online carbon emission sensor monitoring method of enterprise as claimed in claim 7, it is characterised in that：The carbon emission source
Dosage information includes coal-fired dosage, amount of lime and power usage.
9. a kind of online carbon emission sensor monitoring method of enterprise as claimed in claim 7, it is characterised in that：The cloud service
Device carries out statistics and analysis using time domain/frequancy signal anaysis method, and subtracting the disturbing signal in carbon process variable by analysis exists
Each frequency separation section Energy distribution trend accounting situation of frequency domain accumulated energy spectrum, adjusts this and subtracts subtracting present in carbon process variable
Carbon space height, subtracts carbon process variable to find emphasis.
10. a kind of online carbon emission sensor monitoring method of enterprise as claimed in claim 7, it is characterised in that：The high in the clouds clothes
Business device carries out statistics and analysis using equipment fault diagnosis or neural network prediction or SVM model predictions to carbon emission amount.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111582687A (en) * | 2020-04-27 | 2020-08-25 | 南京晓庄学院 | Carbon emission management system based on urban planning |
| CN113312413A (en) * | 2021-07-29 | 2021-08-27 | 国网浙江省电力有限公司营销服务中心 | Enterprise carbon emission abnormity monitoring method based on electric power big data |
| CN113516371A (en) * | 2021-06-16 | 2021-10-19 | 杭州慧源智谷科技有限责任公司 | Method for measuring and calculating full-aperture carbon emission intensity and carbon source structure |
| CN114064747A (en) * | 2021-10-27 | 2022-02-18 | 福建匠芯智绘科技有限公司 | Intelligent accounting method for large-scale active carbon emission |
| 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 |
| WO2022140998A1 (en) * | 2020-12-28 | 2022-07-07 | 北京航空航天大学苏州创新研究院 | Calculation system and method for greenhouse gas emissions in caprolactam production process |
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| Publication number | Priority date | Publication date | Assignee | Title |
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Application publication date: 20181109 |