CN114338450B - Internet of things terminal carbon emission monitoring method and device and related components - Google Patents
Internet of things terminal carbon emission monitoring method and device and related components Download PDFInfo
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Abstract
The invention discloses a method, a device and related components for monitoring carbon emission of an internet of things terminal, wherein the method comprises the following steps: monitoring network flow used by the terminal in a current time window and network type of the terminal according to a preset time window; calculating the offset corresponding to the network type according to the network type and a preset offset function to obtain a target offset; and calculating the carbon emission amount of the terminal according to a preset carbon emission amount function based on the target offset and the network flow, and obtaining a carbon emission result of the terminal in a current time window. The embodiment of the invention calculates the carbon emission by using the network flow of the terminal and the network type corresponding to the network flow, does not need to be additionally provided with a carbon emission sensor, and has the advantage of low cost.
Description
Technical Field
The invention relates to the technical field of the Internet of things, in particular to a method and a device for monitoring carbon emission of an Internet of things terminal and related components.
Background
With the advance of policies of carbon neutralization targets, various industries begin to detect carbon emissions and collect and transmit carbon emission set data by means of internet of things. Carbon emissions are manifested by both the concentration of the escaping gas, and also by punctiform devices, and also by liquid emissions, and therefore often require the installation of various sensors for accurate monitoring. For some electric power and hydraulic power driven equipment, electric quantity and water quantity are adopted to indirectly measure and monitor carbon emission, and the data are disclosed in combination with qualitative analysis.
In the field of Internet of things, carbon emission generated by operation of many enterprises mainly comes from Internet of things equipment and cloud platforms. With the advancement of carbon emission transactions, the enterprises with the advantage of the Internet of things can save carbon emission quota and trade to traditional industrial enterprises. At present, many of the Internet of things are low-cost terminals, and due to the consideration of cost, many enterprises are unwilling to additionally install carbon emission sensors on Internet of things equipment, so that more accurate carbon emission data cannot be obtained. Other mobile networking devices also have difficulty detecting carbon emissions through electricity and water.
Disclosure of Invention
The embodiment of the invention provides a method, a device and related components for monitoring carbon emission of an Internet of things terminal, and aims to solve the problem that carbon emission is difficult to detect without using a carbon emission sensor in the prior art.
In a first aspect, an embodiment of the present invention provides a method for monitoring carbon emission of an internet of things terminal, including:
Monitoring network flow used by the terminal in a current time window and network type of the terminal according to a preset time window;
calculating the offset corresponding to the network type according to the network type and a preset offset function to obtain a target offset;
and calculating the carbon emission amount of the terminal according to a preset carbon emission amount function based on the target offset and the network flow, and obtaining a carbon emission result of the terminal in a current time window.
In a second aspect, an embodiment of the present invention provides a device for monitoring carbon emission of an internet of things terminal, including:
the monitoring module is used for monitoring the network flow used by the terminal in the current time window and the network type of the terminal according to the preset time window;
The first calculation module is used for calculating the offset corresponding to the network type according to the network type and a preset offset function to obtain a target offset;
And the second calculation module is used for calculating the carbon emission quantity of the terminal according to a preset carbon emission quantity function based on the target offset and the network flow to obtain a carbon emission result of the terminal in the current time window.
In a third aspect, an embodiment of the present invention provides a computer device, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor, where the computer program when executed by the processor implements the method for monitoring carbon emission of an internet of things terminal according to the first aspect.
In a fourth aspect, an embodiment of the present invention provides a computer readable storage medium, where a computer program is stored on the computer readable storage medium, where the computer program when executed by a processor implements the method for monitoring carbon emission of an internet of things terminal according to the first aspect.
The embodiment of the invention provides a method and a device for monitoring carbon emission of an internet of things terminal and related components, wherein the method comprises the following steps: monitoring network flow used by the terminal in a current time window and network type of the terminal according to a preset time window; calculating the offset corresponding to the network type according to the network type and a preset offset function to obtain a target offset; and calculating the carbon emission amount of the terminal according to a preset carbon emission amount function based on the target offset and the network flow, and obtaining a carbon emission result of the terminal in a current time window. The embodiment of the invention calculates the carbon emission by using the network flow of the terminal and the network type corresponding to the network flow, does not need to be additionally provided with a carbon emission sensor, and has the advantage of low cost.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a method for monitoring carbon emission of an internet of things terminal according to an embodiment of the present invention;
fig. 2 is a schematic sub-flowchart of a carbon emission monitoring method for an internet of things terminal according to an embodiment of the present invention;
Fig. 3 is a schematic diagram illustrating a sub-flow example of a method for monitoring carbon emission of an internet of things terminal according to an embodiment of the present invention;
fig. 4 is a schematic sub-flowchart of a carbon emission monitoring method for an internet of things terminal according to an embodiment of the present invention;
Fig. 5 is a schematic block diagram of an internet of things terminal carbon emission monitoring device according to an embodiment of the present invention;
Fig. 6 is a schematic structural diagram of a new block in the carbon emission monitoring method of the terminal of the internet of things according to the embodiment of the present invention;
fig. 7 is a block diagram of a block connection structure of an internet of things terminal carbon emission monitoring method according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be understood that the terms "comprises" and "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in the present specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.
Referring to fig. 1, fig. 1 is a schematic flow chart of a method for monitoring carbon emission of an internet of things terminal according to an embodiment of the present invention, which specifically includes: steps S101 to S105.
Step S101, monitoring network flow and network type used by a terminal according to a preset time window;
In this embodiment, since the internet traffic of the networking device has a certain burstiness, a time window needs to be set. The network traffic used by the terminal in the time window, as well as the network type, is monitored in the time window. Wherein, qoS represents service quality, and network types are divided into a shared network, a private network and an exclusive network according to the service quality.
As shown in fig. 2, in an embodiment, before step S101, the method includes:
step S201, mapping is carried out according to the corresponding relation between the network flow and the electricity consumption and the conversion relation between the electricity consumption and the carbon emission, and the mapping relation between the network flow and the carbon emission is obtained;
And step S202, determining the carbon emission coefficient of the network flow and the carbon emission according to the mapping relation of the network flow and the carbon emission.
In this embodiment, according to the corresponding relationship between the network flow and the electricity consumption cost and the converted relationship between the electricity consumption and the carbon emission, the basic mapping relationship between the network flow and the carbon emission is obtained. The corresponding relation between the network flow and the electricity cost is as follows: c=4r/1125+2.2, where c represents electricity cost (in kw·h), and r is network traffic (in GB). The conversion relation between the electricity cost and the carbon emission is as follows: 100 kw.h electricity is consumed=78.5 kg carbon emission, the carbon emission coefficient between the network flow rate and the carbon emission is obtained as follows: α= (4 r/1125+2.2) 78.5/100/r, α represents a carbon emission coefficient in kg/GB.
Step S102, calculating the offset corresponding to the network type according to the network type and a preset offset function to obtain a target offset;
in this embodiment, the offset is calculated according to the network type according to the following formula:
offset ef=75%efom+25%efbm,
Wherein EFOM represents the average emission reduction expected of various types of flows (the carbon emission is calculated after the average value of the various types of flows), and EFBM represents the emission reduction expected of the type of flow in a time window (the type of flow directly calculates the carbon emission).
In one embodiment, after step S102, the method includes:
Step 301, monitoring whether the target offset is greater than a preset offset threshold;
and step S302, if yes, an alarm is sent out.
In this embodiment, when the target offset exceeds the preset offset threshold, an alarm is sent. The alarm mode can be customized by a user according to the actual application requirement. In addition, the target offset exceeds a preset offset threshold, which indicates that the terminal has abnormal traffic usage, and the terminal may have faults, and the terminal information is required to be fed back to the terminal enterprise for checking and troubleshooting.
And step 103, calculating the carbon emission amount of the terminal according to a preset carbon emission amount function based on the target offset and the network flow, and obtaining a carbon emission result of the terminal in a current time window.
In this embodiment, based on the target offset and the network flow, the carbon emission is calculated according to the following formula, so as to obtain the carbon emission result of the terminal in the current time window:
C＝α·X+EF,
Wherein α represents a carbon emission coefficient; x represents network traffic; EF denotes the QoS offset.
In one embodiment, after step S103, the method further includes:
step S401, recording carbon emission results of all terminals in the Internet of things system in a current time window, and obtaining uploading information;
step S402, a new block is generated by the uploading information, and the new block is connected with the block corresponding to the historical time window and stored.
In this embodiment, the carbon emission results of each terminal in the internet of things system in the current time window are integrated to obtain the uploading information, as shown in fig. 6; the uploading information generates a new block, and the new block is connected with the block corresponding to the historical time window and stored, as shown in fig. 7. With the coming of the Internet of things age, a large number of Internet of things terminals are networked in the future, and the total carbon emission of the large number of terminals is not quite small and needs to be monitored. The system can dynamically monitor the carbon emission of network service used by all networking terminals in the system, and cover the whole life cycle of the networking terminals; the overall carbon emissions of the operator's wireless network and terminals served by the network may also be continuously monitored. In addition, the block chain-based system can realize distributed storage, transparency and tamper resistance of the monitoring data. From the carbon transaction perspective, the vast amount of standardized data in the invention can provide support for carbon transactions. From the perspective of carbon emission reduction, based on monitoring data of carbon emission of all using terminals of an operator wireless network, an operator can conduct big data analysis, study carbon emission reduction schemes and strategies, and check actual effects of the schemes.
According to the embodiment of the invention, the mapping relation between the network flow and the carbon emission is formed according to the data relation among the network flow, the electricity consumption and the carbon emission, and the carbon emission is calculated by using the network flow of the terminal and the network type corresponding to the network flow, so that a carbon emission sensor is not needed, and the method has the advantage of low cost.
The embodiment of the invention also provides an Internet of things terminal carbon emission monitoring device, which is used for executing any embodiment of the method of the Internet of things terminal carbon emission monitoring device. Specifically, referring to fig. 4, fig. 4 is a schematic block diagram of an internet of things terminal carbon emission monitoring device according to an embodiment of the present invention. The terminal carbon emission monitoring device 100 of the internet of things can be configured in a server node.
As shown in fig. 4, the terminal carbon emission monitoring device 100 of the internet of things comprises a monitoring module 110, a first calculating module 120 and a second calculating module 130.
A monitoring module 110, configured to monitor, according to a preset time window, a network flow used by the terminal in a current time window and a network type of the terminal;
The first calculating module 120 is configured to calculate an offset corresponding to the network type according to the network type and a preset offset function, so as to obtain a target offset;
And the second calculation module 130 is configured to calculate the carbon emission amount of the terminal according to a preset carbon emission amount function based on the target offset and the network flow, so as to obtain a carbon emission result of the terminal in the current time window.
In an embodiment, the terminal carbon emission monitoring device 100 of the internet of things further includes:
the monitoring module is used for monitoring whether the target offset is larger than a preset threshold value or not;
And the alarm module is used for sending an alarm when the target offset is larger than a preset offset threshold.
In an embodiment, the terminal carbon emission monitoring device 100 of the internet of things further includes:
carbon emission monitoring module: the hardware composed of the carbon emission calculation module and the storage module can be built in the terminal of the Internet of things or connected with the terminal of the Internet of things through an interface.
The data transmission module is interacted with the wireless network core network, sends out a request for inquiring QoS, network slice type and use flow, and recovers an inquiry result;
the carbon emission calculation module calculates carbon emission according to a carbon emission calculation formula and parameters, and sends the carbon emission to the data transmission module, and the network slice information inquired at the time is transmitted to the storage module;
The block generation module receives the carbon emission of each Internet of things terminal, generates blocks (a single block is composed of standardized information of each Internet of things terminal, and the information of each terminal comprises a terminal number, the carbon emission of the current time period and the total carbon emission of the terminal from activation), and sends the generated blocks to the block recording module; the block generation module and the block recording module can form a block chain monitoring system.
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, specific working procedures of the apparatus, device and unit described above may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein. Those of ordinary skill in the art will appreciate that the elements and algorithm steps described in connection with the embodiments disclosed herein may be embodied in electronic hardware, in computer software, or in a combination of the two, and that the elements and steps of the examples have been generally described in terms of function in the foregoing description to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the several embodiments provided by the present invention, it should be understood that the disclosed apparatus, device and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, and for example, the division of the units is merely a logical function division, there may be another division manner in actual implementation, or units having the same function may be integrated into one unit, for example, multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. In addition, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices, or elements, or may be an electrical, mechanical, or other form of connection.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiment of the present invention.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units may be stored in a storage medium if implemented in the form of software functional units and sold or used as stand-alone products. Based on such understanding, the technical solution of the present invention may be essentially or a part contributing to the prior art, or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server node, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a magnetic disk, an optical disk, or other various media capable of storing program codes.
While the invention has been described with reference to certain preferred embodiments, it will be understood by those skilled in the art that various changes and substitutions of equivalents may be made and equivalents will be apparent to those skilled in the art without departing from the scope of the invention. Therefore, the protection scope of the invention is subject to the protection scope of the claims.
Claims (5)
1. The method for monitoring the carbon emission of the terminal of the Internet of things is characterized by comprising the following steps of:
monitoring network flow and network type used by a terminal according to a preset time window;
calculating the offset corresponding to the network type according to the network type and a preset offset function to obtain a target offset;
Calculating the carbon emission of the terminal according to a preset carbon emission function based on the target offset and the network flow to obtain a carbon emission result of the terminal in a current time window;
Before monitoring the network traffic and the network type used by the terminal according to a preset time window, the method comprises the following steps:
Mapping according to the corresponding relation between the network flow and the electricity consumption and the conversion relation between the electricity consumption and the carbon emission, and obtaining the mapping relation between the network flow and the carbon emission;
determining a carbon emission coefficient of the network flow and the carbon emission according to the mapping relation of the network flow and the carbon emission;
the carbon emission function is as follows:
C＝α·X+EF，
wherein α represents a carbon emission coefficient; x represents network traffic; EF represents an offset;
The calculating the offset corresponding to the network type according to the network type and a preset offset function, after obtaining the target offset, includes:
Monitoring whether the target offset is greater than a preset offset threshold;
If yes, an alarm is sent out;
the calculating the carbon emission of the terminal according to the preset carbon emission function based on the target offset and the network flow, after obtaining the carbon emission result of the terminal in the current time window, comprises the following steps:
Recording carbon emission results of all terminals in the Internet of things system in a current time window to obtain uploading information;
And generating a new block by using the uploading information, and connecting and storing the new block with the block corresponding to the historical time window.
2. The method for monitoring carbon emission of an internet of things terminal according to claim 1, wherein the network types are classified into a shared network, a private network and an exclusive network according to service quality.
3. The utility model provides a thing networking terminal carbon emission monitoring devices which characterized in that includes:
the monitoring module is used for monitoring the network flow used by the terminal in the current time window and the network type of the terminal according to the preset time window;
The first calculation module is used for calculating the offset corresponding to the network type according to the network type and a preset offset function to obtain a target offset;
The second calculation module is used for calculating the carbon emission of the terminal according to a preset carbon emission function based on the target offset and the network flow to obtain a carbon emission result of the terminal in a current time window;
Before monitoring the network traffic and the network type used by the terminal according to a preset time window, the method comprises the following steps:
Mapping according to the corresponding relation between the network flow and the electricity consumption and the conversion relation between the electricity consumption and the carbon emission, and obtaining the mapping relation between the network flow and the carbon emission;
determining a carbon emission coefficient of the network flow and the carbon emission according to the mapping relation of the network flow and the carbon emission;
the carbon emission function is as follows:
C＝α·X+EF，
wherein α represents a carbon emission coefficient; x represents network traffic; EF represents an offset;
the terminal carbon emission monitoring device of the Internet of things further comprises:
the monitoring module is used for monitoring whether the target offset is larger than a preset threshold value or not;
the alarm module is used for sending an alarm when the target offset is larger than a preset offset threshold;
the calculating the carbon emission of the terminal according to the preset carbon emission function based on the target offset and the network flow, after obtaining the carbon emission result of the terminal in the current time window, comprises the following steps:
Recording carbon emission results of all terminals in the Internet of things system in a current time window to obtain uploading information;
And generating a new block by using the uploading information, and connecting and storing the new block with the block corresponding to the historical time window.
4. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the method of monitoring carbon emissions at an internet of things terminal according to any one of claims 1 to 2 when the computer program is executed.
5. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the method for monitoring carbon emission of an internet of things terminal according to any one of claims 1 to 2.
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| CN113689049A (en) * | 2021-09-02 | 2021-11-23 | 上海积成能源科技有限公司 | Complex model and method for predicting carbon emission of enterprise by combining multivariate linear regression step-by-step linear regression and artificial neural network |
| CN113743960A (en) * | 2021-09-08 | 2021-12-03 | 升维科技有限公司 | Building carbon emission monitoring system and method |
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