CN114062759A - Carbon emission monitoring and checking system and method - Google Patents
Carbon emission monitoring and checking system and method Download PDFInfo
- Publication number
- CN114062759A CN114062759A CN202111265196.3A CN202111265196A CN114062759A CN 114062759 A CN114062759 A CN 114062759A CN 202111265196 A CN202111265196 A CN 202111265196A CN 114062759 A CN114062759 A CN 114062759A
- Authority
- CN
- China
- Prior art keywords
- data
- carbon emission
- power
- electric
- electric power
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 229910052799 carbon Inorganic materials 0.000 title claims abstract description 97
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 title claims abstract description 86
- 238000012544 monitoring process Methods 0.000 title claims abstract description 50
- 238000000034 method Methods 0.000 title claims abstract description 27
- 238000004364 calculation method Methods 0.000 claims abstract description 23
- 238000004891 communication Methods 0.000 claims abstract description 10
- 230000005611 electricity Effects 0.000 claims description 10
- 238000012545 processing Methods 0.000 claims description 10
- 230000007246 mechanism Effects 0.000 claims description 4
- 238000012795 verification Methods 0.000 claims description 4
- 238000013480 data collection Methods 0.000 claims description 3
- 238000005259 measurement Methods 0.000 abstract description 3
- 238000003745 diagnosis Methods 0.000 abstract description 2
- 230000005540 biological transmission Effects 0.000 description 10
- 230000000694 effects Effects 0.000 description 7
- 239000002803 fossil fuel Substances 0.000 description 7
- 238000010276 construction Methods 0.000 description 6
- 238000013500 data storage Methods 0.000 description 5
- 239000000446 fuel Substances 0.000 description 5
- 230000006870 function Effects 0.000 description 5
- 238000011161 development Methods 0.000 description 4
- 238000011156 evaluation Methods 0.000 description 4
- BVKZGUZCCUSVTD-UHFFFAOYSA-L Carbonate Chemical compound [O-]C([O-])=O BVKZGUZCCUSVTD-UHFFFAOYSA-L 0.000 description 3
- 238000012937 correction Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 238000009826 distribution Methods 0.000 description 3
- 238000005265 energy consumption Methods 0.000 description 3
- 238000009434 installation Methods 0.000 description 3
- 238000007726 management method Methods 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 230000006855 networking Effects 0.000 description 3
- 238000010248 power generation Methods 0.000 description 3
- 229910000831 Steel Inorganic materials 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 2
- 238000002485 combustion reaction Methods 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 238000005457 optimization Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000009467 reduction Effects 0.000 description 2
- 239000010959 steel Substances 0.000 description 2
- 230000008859 change Effects 0.000 description 1
- QVFWZNCVPCJQOP-UHFFFAOYSA-N chloralodol Chemical compound CC(O)(C)CC(C)OC(O)C(Cl)(Cl)Cl QVFWZNCVPCJQOP-UHFFFAOYSA-N 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000007599 discharging Methods 0.000 description 1
- 238000004134 energy conservation Methods 0.000 description 1
- 239000005431 greenhouse gas Substances 0.000 description 1
- 238000009440 infrastructure construction Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000010606 normalization Methods 0.000 description 1
- 230000003647 oxidation Effects 0.000 description 1
- 238000007254 oxidation reaction Methods 0.000 description 1
- 230000001737 promoting effect Effects 0.000 description 1
- 238000003860 storage Methods 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R22/00—Arrangements for measuring time integral of electric power or current, e.g. electricity meters
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/248—Presentation of query results
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/11—Complex mathematical operations for solving equations, e.g. nonlinear equations, general mathematical optimization problems
Abstract
The application discloses carbon emission monitoring and checking system and method, including electric power data acquisition device, positioner, edge calculation gateway and high in the clouds measurement platform, data acquisition device respectively with positioner and edge calculation gateway communication connection, edge calculation gateway with high in the clouds measurement platform communication connection. The invention combines the electric power data acquisition terminal device with the carbon emission algorithm, automatically acquires the current value, the voltage value and the power factor value in the electric variable parameter of the electric circuit through the electric power data acquisition device, calculates the active electric energy value and the electric power carbon emission value, realizes the on-line real-time dynamic monitoring and diagnosis of electric power data and the management and prediction accounting capability of electric power carbon emission, and provides a digital solution for the comprehensive requirement of electric power low-carbon.
Description
Technical Field
The embodiment of the application relates to the technical field of energy conservation and environmental protection, in particular to a carbon emission monitoring and checking system and a method.
Background
With the background of global low-carbon economic development, enterprises serve as users and main emitters of carbon-based energy, and low carbon of the enterprises is an intrinsic requirement of low-carbon development. The low-carbon construction and popularization of enterprises are important measures for promoting industrial low-carbon transformation in China. The low-carbon development is accelerated by an information method of the Internet of things, and the establishment of an energy Internet of things and a carbon emission monitoring system is a key link and a main method for low-carbon construction.
The energy structures of enterprises are different, and relate to a plurality of technical field, and the specialty is strong, and the informationization construction condition of each enterprise is different, and the enterprise lacks energy gradient utilization, energy consumption monitoring, ecological construction lag, environmental protection input is not enough, infrastructure construction not enough scheduling problem. The existing electric power metering modes are two, one is the traditional manual operation mode, namely, people are sent to each user periodically every month to copy the electricity consumption data of the electricity meter as the basis of calculating and paying the electricity charge, and the defects are that the data are not timely transferred, the real-time performance is poor, the data reliability is low and other artificial factors. The other is that the remote transmission automatic meter reading device of the power company is used, the remote transmission automatic meter reading can be realized, the power data is directly accessed to a system platform of the power company, a protocol adopts a 102 power protocol, and the electricity charge is settled monthly. The method has the problems that the total electric quantity of the user can only be measured, key power utilization loops cannot be flexibly monitored, the user cannot check the consumed electric energy condition at any time, the power utilization index is analyzed, the comprehensive use function development is not complete, and the maintenance by a specially-assigned person is required.
In the prior art, only simple electrical variable parameters can be measured, the electric power carbon emission corresponding to consumed electric energy cannot be converted, and the energy Internet of things requires accurate data and is more real and reliable, so that the energy Internet of things can be checked and traceable. The method is a core task of a low-carbon enterprise monitoring method and is one of the main problems which need to be solved urgently in the low-carbon construction of China at present.
Disclosure of Invention
The application provides a carbon emission monitoring and checking system and a carbon emission monitoring and checking method, which aim to solve the problems that the collection, the metering and the carbon emission accounting of the energy quantity of an enterprise can not be realized, and the real-time dynamic monitoring and the evaluation of the energy consumption and the carbon emission can not be realized in the prior art.
In one aspect, the present application provides a carbon emission monitoring and verification system, comprising: the system comprises a power data acquisition device, a positioning device, an edge computing gateway and a cloud metering platform, wherein the data acquisition device is respectively in communication connection with the positioning device and the edge computing gateway, and the edge computing gateway is in communication connection with the cloud metering platform;
the electric power data acquisition device is configured to acquire electric variable data of an electric loop of a unit to be tested and send the electric variable data to the edge computing gateway; wherein the electrical variable data comprises a voltage value, a current value and a power factor value of the electricity utilization loop;
the positioning device is configured to position the position information of the unit to be measured and send the position information to the cloud metering platform;
the edge computing gateway is configured to screen data uploaded in the electric power data acquisition device in real time, normalize and preprocess the electric variable data, eliminate redundant data, optimize a data synchronization mechanism, and upload the optimized data to the cloud metering platform;
the cloud metering platform is configured to receive the location information sent by the positioning device and the optimized data sent by the edge computing gateway; calculating carbon emission data according to electric power carbon emission factors and time of a regional power grid, acquiring electric power data in real time and dynamically updating standard carbon emission parameters, and generating and storing the optimized data and the carbon emission data which are sent by the edge calculation gateway of the cloud metering platform.
Furthermore, the electric power data acquisition device comprises a main controller, a processor, an internal linear power supply module and an external UPS power supply.
Further, the calculation formula of the carbon emission data is as follows:
carbon emission is consumption electric energy multiplied by electric power carbon emission factor;
the consumed electric energy is the active component multiplied by the time;
the active component is voltage × current/1000.
Further, the edge computing gateway is also configured to determine whether the data uploaded in the power data acquisition device is within a deviation range.
Furthermore, the edge computing gateway further comprises a data storage module, a breakpoint resuming module and a data integrity protection module.
Further, the cloud metering platform is also configured to collect power data in real time and dynamically update standard carbon emission parameters.
Further, the monitoring and checking system further comprises a display device, and the display device is electrically connected with the central processing unit;
the central processing unit is also used for sending the carbon emission data of the unit to be measured to the display device;
and the display device is used for receiving and displaying the carbon emission data of the unit to be measured.
In another aspect, the present application further provides a carbon emission monitoring and checking method, including:
measuring an electrical variable parameter of a unit to be measured;
constructing the obtained electrical variable parameters according to dimensions to obtain electrical variable parameters with various dimensions;
combining the electrical variable parameters of the multiple dimensions with the power dimension data factors to configure a multiple-dimension energy model;
and calculating the multi-dimensional energy model, and converting the electric quantity data into carbon emission data.
The invention combines the electric power data acquisition terminal device with the carbon emission algorithm, automatically acquires the current value, the voltage value and the power factor value in the electric variable parameter of the electric circuit through the electric power data acquisition device, calculates the active electric energy value and the electric power carbon emission value, realizes the on-line real-time dynamic monitoring and diagnosis of electric power data and the management and prediction accounting capability of electric power carbon emission, and provides a digital solution for the comprehensive requirement of electric power low-carbon. According to the actual requirements of enterprises, a plurality of industries, a plurality of emission sources and a plurality of accounting units can be configured, an electric energy monitoring scheme based on real-time monitoring and management optimization is established, data storage and query functions are configured, the electric energy monitoring scheme has various display forms such as dynamic charts and reports, and the refinement, digitization and standardization of low-carbon management of electric power are realized.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram of a carbon emission monitoring and control system of the present application;
FIG. 2 is a schematic view of an electrical data collection apparatus according to the present application;
FIG. 3 is a flow chart of a carbon emissions monitoring and reconciling method of the present application;
fig. 4 is a flowchart of data processing of a carbon emission monitoring and checking method according to the present application.
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 derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
The application provides a carbon emission monitoring and checking system and a carbon emission monitoring and checking method, which aim to solve the problems that the collection, the metering, the carbon emission accounting, the real-time dynamic monitoring and the evaluation of the energy consumption and the carbon emission of an enterprise can not be realized in the prior art.
In one aspect, the present application provides a carbon emission monitoring and checking system, as shown in fig. 1, where fig. 1 is a schematic diagram of a carbon emission monitoring and checking system of the present application. The monitoring and checking system comprises: the system comprises a power data acquisition device, a positioning device, an edge computing gateway and a cloud metering platform, wherein the data acquisition device is respectively in communication connection with the positioning device and the edge computing gateway, and the edge computing gateway is in communication connection with the cloud metering platform;
as shown in fig. 2, fig. 2 is a schematic diagram of an electric power data acquisition device according to the present application, where the electric power data acquisition device is configured to acquire electric variable data of an electric circuit of a unit under test, provide raw data for electric power data monitoring, and send the electric variable data to the edge computing gateway; wherein the electrical variable data comprises a voltage value, a current value and a power factor value of the electricity utilization loop;
the electric power data acquisition device adopts a terminal device acquisition mode, is provided with an enterprise terminal electrical variable measurement acquisition device, and sets data acquisition content, acquisition frequency, an acquisition mode, an acquisition unit and the like. And the normalization and the integrity of data acquisition are ensured. The electric power data acquisition device adopts distributed arrangement, guide rail type installation and plug-in type wiring, realizes dispersed flexible configuration and can adopt a wired or wireless transmission mode according to the field environment.
The electric power data acquisition device provides the primary data for electric power data monitoring, installs enterprise level terminal collection device, and collection device uses STM32F103C8T6 as main control unit, and the kernel adopts ARMCortex-M3 treater framework, supports "16/32 bit" and uses, and computing power and compatibility are higher. The acquisition device uses the power supply of the built-in linear power supply module and the external UPS, so that the acquisition terminal can normally operate when power is off, and the acquisition data is guaranteed not to be lost. The acquisition device is internally provided with an EEPROM (electrically erasable programmable read-only memory) module of the AT24C128, so that a buffer area for temporary storage and remote transmission of acquisition equipment is realized. The DS1302 is used as a clock chip to time the year, month, day, week, hour, minute and second, and has multiple functions of leap year compensation and the like, so that the accurate timing of the clock can be realized, and the real-time synchronization with the cloud time can be realized. And multiple communication forms of LORA/485 communication/4G are supported, and networking is flexible according to actual conditions on site. The electric power intelligent chip ATT7022 can be used for collecting parameters such as three-phase voltage, three-phase active power, three-phase reactive power, three-phase apparent power, three-phase power factors, phase angles and electric power harmonic waves.
In addition, the acquisition device can set data acquisition contents (such as current, voltage, power factors, active components, reactive components, apparent power, harmonic components and the like), acquisition frequency (such as how often to acquire data once), acquisition modes (such as three-phase/single-phase equipment power utilization), acquisition units (such as kwh) and the like according to the field environment, and is provided with an LCD display unit, so that the data can be locally displayed and parameters can be modified conveniently.
The electric power data acquisition device adopts distributed arrangement, flexible networking can be realized, automatic acquisition and monitoring of each power utilization loop can be realized, the guide rail type installation enables equipment to be conveniently and flexibly installed in various places, and the plug-in type wiring enables the installation and maintenance of the equipment to be safer and more convenient. The networking mode can adopt a wired or wireless transmission mode according to the field environment.
The positioning device is configured to position the position information of the unit to be measured and send the position information to the cloud metering platform;
the edge computing gateway is configured to screen data uploaded in the electric power data acquisition device in real time, normalize and preprocess the electric variable data, eliminate redundant data, optimize a data synchronization mechanism, and upload the optimized data to the cloud metering platform;
the edge computing gateway filters data in the edge computing gateway in real time, judges whether the data meet requirements or not, judges whether the data are in a deviation range or not, judges whether the edge computing data or the cloud computing data need to be called or not, if the data are the cloud computing data, sends corresponding data to a cloud computing platform for real-time computing, if the data are the edge computing data, calls an edge accounting unit for real-time computing, and uploads a processing result to the cloud computing platform.
And a plurality of accounting units are combined in the edge computing gateway according to different power dimension data factors and dimension energy models, a generated data set is stored in a library form, and a plurality of different dimension energy models are integrated for being called by the edge accounting units. And comparing and analyzing the calculation result with historical data in the energy model library. And uploading the reasonable calculation result to a cloud metering platform. And if the calculation result is unreasonable, analyzing whether the deviation value is controllable, if so, calculating the correction weight, comparing and analyzing the corrected result with the data in the energy model library again, and reasonably updating the model library according to the result. And if the deviation value is out of the deviation value, requesting the cloud metering platform to issue the update setting. And the real-time dynamic updating and perfecting of the power data factors are realized.
The edge computing gateway screens the collected data and the redundant data uploaded in the electric power data collecting device in real time, normalizes and preprocesses the electric power collected data, rejects the redundant data, optimizes a data synchronization mechanism, judges whether the data meet requirements or not, and uploads the qualified data to the cloud metering platform or not within a deviation range.
The edge computing gateway has the functions of data storage, breakpoint continuous transmission and data integrity protection. When the network is interrupted or the main data storage equipment is not communicated, the electric power data acquisition device continues to store the data uploaded by the electric power data acquisition device, and the pre-stored cache data is uploaded to the cloud metering platform after the data is recovered.
The cloud metering platform is configured to receive the location information sent by the positioning device and the optimized data sent by the edge computing gateway; calculating carbon emission data according to electric power carbon emission factors and time of a regional power grid, acquiring electric power data in real time and dynamically updating standard carbon emission parameters, and generating and storing the optimized data and the carbon emission data which are sent by the edge calculation gateway of the cloud metering platform.
Furthermore, the electric power data acquisition device comprises a main controller, a processor, an internal linear power supply module and an external UPS power supply.
Further, the calculation formula of the carbon emission data is as follows:
carbon emission is consumption electric energy multiplied by electric power carbon emission factor;
the consumed electric energy is the active component multiplied by the time;
the active component is voltage × current/1000.
Further, the edge computing gateway is also configured to determine whether the data uploaded in the power data acquisition device is within a deviation range.
Furthermore, the edge computing gateway further comprises a data storage module, a breakpoint resuming module and a data integrity protection module.
Further, the cloud metering platform is also configured to collect power data in real time and dynamically update standard carbon emission parameters.
Further, the monitoring and checking system further comprises a display device, and the display device is electrically connected with the central processing unit;
the central processing unit is also used for sending the carbon emission data of the unit to be measured to the display device;
and the display device is used for receiving and displaying the carbon emission data of the unit to be measured.
In another aspect, referring to fig. 3, fig. 3 is a flow chart of a carbon emission monitoring and checking method, and the present application further provides a carbon emission monitoring and checking method, including:
measuring an electrical variable parameter of a unit to be measured;
constructing the obtained electrical variable parameters according to dimensions to obtain electrical variable parameters with various dimensions;
combining the electrical variable parameters of the multiple dimensions with the power dimension data factors to configure a multiple-dimension energy model;
and calculating the multi-dimensional energy model, and converting the electric quantity data into carbon emission data.
In one embodiment, the method further comprises monitoring and checking carbon emissions of electricity generated by the combustion of the generalized fossil-based energy source; the monitoring checks the carbon emission E of the electricity generated by the combustion of the generalized stone-like energyBurning ofThe calculation formula of (2) is as follows:
wherein i is the type of fossil fuel; ADi is the ith fossil fuel activity level, expressed as calorific value; EFi is the emission factor of the ith fuel;
emission factor EF of ith fueliThe calculation formula of (2) is as follows:
wherein, CCiThe carbon content per unit calorific value of the ith fossil fuel; OFiThe carbon oxidation rate of the ith fossil fuel.
The calculation formula for the activity level ADi of the ith fossil fuel is:
ADi＝FCi×NCVi×10-6，
therein, FCiConsumption of the ith fossil Fuel, NCViIs the average lower calorific value of the ith fossil fuel.
In one embodiment, the method further comprises monitoring carbon emissions during the verification activity; carbon emission E of the monitoring verification activity processMovement ofThe calculation formula of (2) is as follows:
wherein k is an activity process type; CALkIs carbonate consumption during the kth activity; EFkIs the carbonate emission factor in the kth activity;
emission factor EF of carbonate during the kth activitykThe calculation formula of (2) is as follows:
EFk＝EFk,t×TR，
wherein, EFk,tTR is the conversion rate, which is the emission factor for the active process at full conversion.
Further, in one embodiment, the method further comprises monitoring and checking the grid enterpriseCarbon emission generated by power loss of industrial power transmission and distribution; monitoring and checking carbon emission E generated by power transmission and distribution electric quantity loss of power grid enterpriseLoss of networkThe calculation formula of (2) is as follows:
e netDecrease in the thickness of the steelAD netDecrease in the thickness of the steel×EFElectric powerThe net is a net of a net body,
wherein, ADLoss of networkThe electric quantity is consumed by power transmission and distribution; EFElectric networkThe annual average power supply emission factor of the regional power grid is provided.
The dimension classification for constructing the obtained electrical variable parameters according to the dimensions comprises: nature, subject of application, and full lifecycle; the property is the standard of accounting evaluation, the application subject is the energy structure and the emission source of an enterprise, and the full life cycle is the production construction stage and the operation energy utilization stage.
Further, the calculation formula for converting the electric quantity data into the carbon emission data is as follows:
ECO2 net electricity＝ADElectric power×EF,
Wherein E isCO2 net electricityImplicit CO of power for enterprise net purchase2Discharging; ADElectric powerNet purchased power consumption for the enterprise; EF is CO of electric power supply2An emission factor; wherein CO of the power supply2The emission factor EF is one of an electric quantity boundary emission factor, a capacity boundary emission factor and a regional power grid emission factor; the regional power grid emission factor is mostly used in northern areas, the electric quantity boundary emission factor is mostly used in southern areas, and the capacity boundary emission factor is used by partial power plants. Wherein the content of the first and second substances,
the calculation formula of the electric quantity boundary emission factor is as follows:
wherein, EFgrid,OMsimple,yIs a simple electric quantity marginal emission factor of the power system in which the emission reduction project of the y year is positioned; EGyIs the total net power generation of the power system in the y year, i.e. in addition to low operating costs and having to operate the unitsAll other units of the power grid supply the total electric quantity of the power grid; FG (fringe field switching)i,yIs the total consumption of the unit to fuel i in the y year; NCVi,yIs the average lower calorific value of fuel i in year y; EFCO2,i,yIs CO of year y fuel i2An emission factor; y is each of the last three years in which data was available when the greenhouse gas emission reduction project design files were submitted;
the formula for calculating the capacity boundary discharge factor is as follows:
wherein, EFgrid,BM,yIs the capacity marginal emission factor of the power system in which the item is located in the y year; EGm,yThe net power generation amount of the mth newly added unit sample in the y year; EFEL,m,yIs the unit electric quantity emission factor of the mth newly added unit sample in the y year; m is a newly added unit sample group selected by calculating capacity margin emission factors; y is the last year that power generation history data can be obtained.
In one embodiment, enterprise carbon emissions from Liaoning are calculated using regional grid emission factors, which refer to the northeast grid, and in another embodiment, if enterprises from southern grid are calculated, power boundary emission factors are used.
As shown in fig. 4, fig. 4 is a flowchart of data processing of a carbon emission monitoring and checking method according to the present application, wherein the data processing flow includes: measuring and collecting electrical variable data through an electrical data collecting device; judging whether the data is normalized data; if so, storing the data by the edge cache; judging whether the data is cloud computing data; if yes, inputting the data into a cloud metering platform; if not, inputting the edge computing gateway for computing; carrying out data checking; if the data is wrong, performing correction weight calculation, establishing a correction weight energy model, performing energy model optimization, and inputting the energy model into the edge calculation gateway again for calculation; if the data is correct, caching the edge calculation result; uploading the data to a cloud metering platform; inputting a cloud platform accounting unit; and the cloud platform accounting unit calls the dimension energy model and the power dimension data factor, calculates and outputs a result.
The invention can automatically collect power data parameters, calculate an active power energy value by collecting a voltage value and a current value of a power utilization loop, calculate the carbon emission of power by combining a geographical position and a real-time clock, perform accounting, statistics and the like on the carbon emission, perform real-time dynamic monitoring and evaluation on the power consumption and the carbon emission of power and the like, generate a historical database, and display the historical database in a report form and a curve on a cloud metering platform. The power acquisition terminal device is provided with a power-off continuous transmission function and can realize data integrity protection. The electric power carbon emission data is real-time, accurate, real and reliable.
The foregoing is merely a preferred embodiment of the invention and is not intended to limit the invention in any manner. Although the present invention has been described with reference to the preferred embodiments, it is not intended to be limited thereto. Those skilled in the art can make numerous possible variations and modifications to the present teachings, or modify equivalent embodiments to equivalent variations, without departing from the scope of the present teachings, using the methods and techniques disclosed above. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention are still within the scope of the protection of the technical solution of the present invention, unless the contents of the technical solution of the present invention are departed.
Claims (8)
1. A carbon emission monitoring and verification system, comprising: the system comprises a power data acquisition device, a positioning device, an edge computing gateway and a cloud metering platform, wherein the data acquisition device is respectively in communication connection with the positioning device and the edge computing gateway, and the edge computing gateway is in communication connection with the cloud metering platform;
the electric power data acquisition device is configured to acquire electric variable data of an electric loop of a unit to be tested and send the electric variable data to the edge computing gateway; wherein the electrical variable data comprises a voltage value, a current value and a power factor value of the electricity utilization loop;
the positioning device is configured to position the position information of the unit to be measured and send the position information to the cloud metering platform;
the edge computing gateway is configured to screen data uploaded in the electric power data acquisition device in real time, normalize and preprocess the electric variable data, eliminate redundant data, optimize a data synchronization mechanism, and upload the optimized data to the cloud metering platform;
the cloud metering platform is configured to receive the location information sent by the positioning device and the optimized data sent by the edge computing gateway; calculating carbon emission data according to electric power carbon emission factors and time of a regional power grid, acquiring electric power data in real time and dynamically updating standard carbon emission parameters, and generating and storing the optimized data and the carbon emission data which are sent by the edge calculation gateway of the cloud metering platform.
2. The carbon emission monitoring and checking system as claimed in claim 1, wherein the power data collection device comprises a main controller, a processor, an internal linear power module and an external UPS power supply.
3. The carbon emission monitoring and checking system according to claim 1, wherein the carbon emission data is calculated by the formula:
carbon emission is consumption electric energy multiplied by electric power carbon emission factor;
the consumed electric energy is the active component multiplied by the time;
the active component is voltage × current/1000.
4. The carbon emission monitoring and checking system according to claim 1, wherein the edge computing gateway is further configured to determine whether the data uploaded in the power data collection device is within a deviation range.
5. The carbon emission monitoring and checking system according to claim 1, wherein the edge computing gateway further comprises a data saving module, a breakpoint resuming module and a data integrity protection module.
6. The carbon emission monitoring and checking system of claim 1, wherein the cloud metering platform is further configured to collect power data in real time and dynamically update standard carbon emission parameters.
7. The carbon emission monitoring and checking system as recited in claim 1, further comprising a display device electrically connected to the central processing unit;
the central processing unit is also used for sending the carbon emission data of the unit to be measured to the display device;
and the display device is used for receiving and displaying the carbon emission data of the unit to be measured.
8. A carbon emission monitoring and checking method applied to the monitoring and checking system according to any one of claims 1 to 7, wherein the method comprises:
measuring an electrical variable parameter of a unit to be measured;
constructing the obtained electrical variable parameters according to dimensions to obtain electrical variable parameters with various dimensions;
combining the electrical variable parameters of the multiple dimensions with the power dimension data factors to configure a multiple-dimension energy model;
and calculating the multi-dimensional energy model, and converting the electric quantity data into carbon emission data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111265196.3A CN114062759A (en) | 2021-10-28 | 2021-10-28 | Carbon emission monitoring and checking system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111265196.3A CN114062759A (en) | 2021-10-28 | 2021-10-28 | Carbon emission monitoring and checking system and method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114062759A true CN114062759A (en) | 2022-02-18 |
Family
ID=80235886
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111265196.3A Pending CN114062759A (en) | 2021-10-28 | 2021-10-28 | Carbon emission monitoring and checking system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114062759A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114971086A (en) * | 2022-07-19 | 2022-08-30 | 国网浙江省电力有限公司杭州供电公司 | Carbon emission optimization control method and system based on real-time flow treatment |
| CN114996979A (en) * | 2022-08-05 | 2022-09-02 | 深圳市信润富联数字科技有限公司 | Method and system for managing carbon-capable data, electronic device and storage medium |
| CN115759488A (en) * | 2023-01-10 | 2023-03-07 | 广东埃文低碳科技股份有限公司 | Carbon emission monitoring and early warning analysis system and method based on edge calculation |
| CN115884009A (en) * | 2023-03-02 | 2023-03-31 | 四川君迪能源科技有限公司 | Remote real-time monitoring method, device and system for carbon dioxide emission |
| CN116186120A (en) * | 2023-04-18 | 2023-05-30 | 山西维云数智科技有限公司 | Energy data acquisition and analysis database system and data storage method |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN207473916U (en) * | 2017-06-12 | 2018-06-08 | 广东环境保护工程职业学院 | Multi-functional PLC experimental boxs |
| CN108280047A (en) * | 2018-01-24 | 2018-07-13 | 江苏方天电力技术有限公司 | A kind of fired power generating unit carbon emission accounting method based on field monitoring data |
| CN110474962A (en) * | 2019-07-16 | 2019-11-19 | 佛山市南海区华南新能源汽车产业促进中心 | A kind of data checking system and method based on edge calculations |
| CN212180894U (en) * | 2019-09-06 | 2020-12-18 | 天津海帅电子科技有限公司 | Novel machine tool energy consumption monitoring system |
| CN113108826A (en) * | 2021-05-10 | 2021-07-13 | 北京中创碳投科技有限公司 | Carbon emission metering system, platform and method |
| CN113285974A (en) * | 2021-04-02 | 2021-08-20 | 国网浙江慈溪市供电有限公司 | Enterprise carbon emission monitoring system based on digital twin technology |
| CN113435054A (en) * | 2021-07-06 | 2021-09-24 | 天津水泥工业设计研究院有限公司 | Carbon emission assessment method and system based on digital twin model |
-
2021
- 2021-10-28 CN CN202111265196.3A patent/CN114062759A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN207473916U (en) * | 2017-06-12 | 2018-06-08 | 广东环境保护工程职业学院 | Multi-functional PLC experimental boxs |
| CN108280047A (en) * | 2018-01-24 | 2018-07-13 | 江苏方天电力技术有限公司 | A kind of fired power generating unit carbon emission accounting method based on field monitoring data |
| CN110474962A (en) * | 2019-07-16 | 2019-11-19 | 佛山市南海区华南新能源汽车产业促进中心 | A kind of data checking system and method based on edge calculations |
| CN212180894U (en) * | 2019-09-06 | 2020-12-18 | 天津海帅电子科技有限公司 | Novel machine tool energy consumption monitoring system |
| CN113285974A (en) * | 2021-04-02 | 2021-08-20 | 国网浙江慈溪市供电有限公司 | Enterprise carbon emission monitoring system based on digital twin technology |
| CN113108826A (en) * | 2021-05-10 | 2021-07-13 | 北京中创碳投科技有限公司 | Carbon emission metering system, platform and method |
| CN113435054A (en) * | 2021-07-06 | 2021-09-24 | 天津水泥工业设计研究院有限公司 | Carbon emission assessment method and system based on digital twin model |
Non-Patent Citations (1)
| Title |
|---|
| 马翠梅: "公共租赁住房项目可持续性的定量评价方法研究", vol. 1, 31 July 2020, 中国环境出版集团, pages: 172 - 176 * |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114971086A (en) * | 2022-07-19 | 2022-08-30 | 国网浙江省电力有限公司杭州供电公司 | Carbon emission optimization control method and system based on real-time flow treatment |
| CN114996979A (en) * | 2022-08-05 | 2022-09-02 | 深圳市信润富联数字科技有限公司 | Method and system for managing carbon-capable data, electronic device and storage medium |
| CN115759488A (en) * | 2023-01-10 | 2023-03-07 | 广东埃文低碳科技股份有限公司 | Carbon emission monitoring and early warning analysis system and method based on edge calculation |
| CN115884009A (en) * | 2023-03-02 | 2023-03-31 | 四川君迪能源科技有限公司 | Remote real-time monitoring method, device and system for carbon dioxide emission |
| CN116186120A (en) * | 2023-04-18 | 2023-05-30 | 山西维云数智科技有限公司 | Energy data acquisition and analysis database system and data storage method |
| CN116186120B (en) * | 2023-04-18 | 2023-07-18 | 山西维云数智科技有限公司 | Energy data acquisition and analysis database system and data storage method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN114062759A (en) | Carbon emission monitoring and checking system and method | |
| Chen et al. | Pathway toward carbon-neutral electrical systems in China by mid-century with negative CO2 abatement costs informed by high-resolution modeling | |
| CN102074954B (en) | Comprehensive energy-conservation evaluation and decision-making method for urban and rural distribution network | |
| CN103580284B (en) | Low-voltage collecting meter reading system | |
| CN109683059B (en) | Method and device for determining line loss abnormity, storage medium and processor | |
| CN113642936B (en) | Method, terminal and system for analyzing edge of demand side carbon flow | |
| CN110928866A (en) | Line topology checking method and system based on power failure information big data analysis | |
| Purwania et al. | Application of IoT-Based System for Monitoring Energy Consumption | |
| CN104779699A (en) | Multifunctional station line loss management system | |
| CN111241465A (en) | User ammeter coupling carbon emission monitoring system and method | |
| CN101673363A (en) | Method and system for evaluating energy-consuming efficiency | |
| CN103187735A (en) | Bidirectional intelligent gateway device for distributed new energy grid connection | |
| CN114037585A (en) | Carbon data processing method, carbon data interaction method, carbon data presentation method, electronic device, and storage medium | |
| CN104165660B (en) | A kind of distribution transforming intelligent monitoring terminal calculating winding temperature | |
| CN114707949A (en) | Carbon emission management system and method based on edge gateway | |
| CN101771275B (en) | Electric energy monitoring system | |
| CN103390904A (en) | Analysis method of renewable energy grid-connected power generation | |
| CN115528817A (en) | Intelligent power distribution and utilization system, method, medium, equipment and terminal for user side | |
| CN203069670U (en) | Intelligent electric meter having function of monitoring power supply reliability and voltage qualified rate | |
| CN114660412A (en) | Electric energy quality monitoring system based on intelligent electric energy meter and monitoring method thereof | |
| CN111027026A (en) | Meter reading data abnormity intelligent diagnosis system | |
| CN114040004A (en) | Demand side carbon flow monitoring terminal, monitoring method and system | |
| CN201332267Y (en) | Electric energy monitoring system | |
| CN102929266A (en) | Energy-saving technology modification and water-saving project information management system for enterprises | |
| CN115884009A (en) | Remote real-time monitoring method, device and system for carbon dioxide emission |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |