CN112765153A - Method, apparatus and medium for generating a statistical map of carbon dioxide emissions - Google Patents
Method, apparatus and medium for generating a statistical map of carbon dioxide emissions Download PDFInfo
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Abstract
Embodiments of the present disclosure disclose a method, apparatus, and medium for generating a statistical map of carbon dioxide emissions from other non-ferrous metal smelting processes. One embodiment of the method comprises: acquiring the number of enterprises in the calendering industry in a target area; for each of the determined number of enterprises of the calendering industry, determining an emission of carbon dioxide for the enterprise; summarizing the carbon dioxide emission amount of each enterprise, and determining the total carbon dioxide emission amount of the enterprises in the calendering industry in the target area; and generating a statistical chart of the carbon dioxide emission amount of the enterprises in the rolling processing industry in the target area according to the total carbon dioxide emission amount and the carbon dioxide emission amount of each enterprise in the rolling processing industry. This embodiment enables determination of carbon dioxide emissions in a target area.
Description
Technical Field
The embodiment of the disclosure relates to the technical field of computers, in particular to a method, equipment and medium for controlling and generating a carbon dioxide emission statistical chart.
Background
Carbon dioxide refers to a carbon oxide that acts to make the earth's surface warmer, similar to the action of a greenhouse to trap solar radiation, and to heat the air in the greenhouse. Meanwhile, the carbon dioxide can cause frequent drought and waterlogging in tropical and temperate zones, and the iceberg melts, the sea level rises and the coastal delta is submerged. The main source of carbon dioxide is the direct emission process and the indirect emission process in the industrial production process. Therefore, determining carbon dioxide emissions is currently the primary task for people to control greenhouse gases.
Disclosure of Invention
This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.
Some embodiments of the present disclosure propose methods, apparatuses, and media for generating a statistical map of carbon dioxide emissions to solve the technical problems mentioned in the background section above.
In a first aspect, some embodiments of the present disclosure provide a method of generating a statistical map of carbon dioxide emissions, the method comprising: acquiring the number of enterprises in the calendering industry in a target area; for each of the determined number of enterprises of the calendering industry, determining an emission of carbon dioxide for the enterprise; summarizing the carbon dioxide emission amount of each enterprise, and determining the total carbon dioxide emission amount of the enterprises in the calendering industry in the target area; and generating a statistical chart of the carbon dioxide emission amount of the enterprises in the rolling processing industry in the target area according to the total carbon dioxide emission amount and the carbon dioxide emission amount of each enterprise in the rolling processing industry.
In some embodiments, the generating a statistical map of the carbon dioxide emissions of the enterprises in the calendering processing industry in the target area according to the total carbon dioxide emissions and the carbon dioxide emissions of the enterprises in the calendering processing industry includes: and responding to the fact that the total amount of the carbon dioxide emission exceeds a preset threshold value, and generating a statistical graph of the carbon dioxide emission amount of the enterprise of which the total amount of the carbon dioxide emission exceeds the preset threshold value.
In some embodiments, the above-described carbon dioxide emissions for each of the determined number of enterprises of the calendering industry are determined according to the following formula:
E＝Eburning of+ERaw material+EProcedure+EElectric power+EHeat generationWherein E represents the total amount of greenhouse gas emissions; eBurning ofRepresents the fuel combustion emission amount; eRaw materialRepresents the amount of emissions for energy use as a raw material; eProcedureRepresents process emissions; eElectric powerRepresents the discharge amount of power consumption purchased by an enterprise; eHeat generationIndicating the amount of heat consumed by the enterprise.
In some embodiments, the above method further comprises: installing a monitoring system on an operation device of the enterprise for the enterprise with the carbon dioxide emission exceeding a preset value; monitoring the emission of the enterprise at a first preset time based on the monitoring system to obtain a first carbon dioxide emission line graph of the enterprise; determining a difference value between the carbon dioxide emission amount at the starting time and the carbon dioxide emission amount at the ending time based on the carbon dioxide emission amount line graph; and controlling the running device to stop running by utilizing the monitoring system in response to the difference value being smaller than a preset threshold value.
In some embodiments, the controlling, by the monitoring system, the operation of the operation device to stop operating in response to the difference being smaller than a preset threshold includes: displaying warning information for representing emission reduction by using the monitoring system; monitoring the emission of second preset time based on the warning information to obtain a second carbon dioxide emission line graph of the enterprise; determining a difference value between the carbon dioxide emission amount at the starting time and the carbon dioxide emission amount at the ending time based on the second carbon dioxide emission amount line graph; and controlling the running device to stop running by utilizing the monitoring system in response to the difference value being smaller than a preset threshold value.
In a second aspect, an embodiment of the present application provides an electronic device, including: one or more processors; a storage device having one or more programs stored thereon which, when executed by one or more processors, cause the one or more processors to implement a method as in any one of the first aspects.
In a third aspect, the present application provides a computer readable medium, on which a computer program is stored, wherein the program, when executed by a processor, implements the method according to any one of the first aspect.
One of the above-described various embodiments of the present disclosure has the following advantageous effects: firstly, acquiring the number of enterprises in the calendering industry in a target area; secondly, for each of the determined number of enterprises of the calendering industry, determining an emission of carbon dioxide for the enterprise; further, the carbon dioxide emission amount of each enterprise is summarized, and the total carbon dioxide emission amount of the enterprises in the calendering industry in the target area is determined; and finally, generating a statistical chart of the carbon dioxide emission of the enterprises in the calendering processing industry in the target area according to the total carbon dioxide emission and the carbon dioxide emission of each enterprise in the calendering processing industry.
One of the above-described various embodiments of the present disclosure has the following advantageous effects: by determining the amount of carbon dioxide emitted by each of the determined number of enterprises of the calendering industry, the total amount of carbon dioxide emitted by the enterprises of the calendering industry within the target area can be determined. Therefore, the emission of the carbon dioxide can be determined more accurately, and the emission of the carbon dioxide can be controlled more effectively and timely.
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The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and features are not necessarily drawn to scale.
Fig. 1 is a schematic diagram of one application scenario of a method of generating a carbon dioxide emissions statistical map according to some embodiments of the present disclosure.
FIG. 2 is a flow diagram of some embodiments of a method of generating a statistical map of carbon dioxide emissions according to the present disclosure.
Fig. 3 is an exemplary system architecture diagram in which the present disclosure may be applied.
FIG. 4 is a schematic block diagram of a computer system suitable for use in implementing an electronic device of an embodiment of the present disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.
It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings. The embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict.
It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.
It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.
The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.
The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Fig. 1 is a schematic diagram of one application scenario of a method of generating a carbon dioxide emissions statistical map according to some embodiments of the present disclosure.
As shown in fig. 1, the server 101 may rank the emission amount of carbon dioxide of each enterprise in the target area from high to low according to the emission amount of carbon dioxide of each enterprise in the target area. Thereby, the ranking of the enterprises corresponding to the carbon dioxide emission amount can be obtained. Then, the enterprises with the carbon dioxide emission exceeding the preset value can be determined. Further, an instruction may be sent to the enterprise, through the terminal device 102, that the determined carbon dioxide emission exceeds a preset value. The instruction may be an emission reduction instruction or an emission stop instruction. And finally, generating a carbon dioxide emission statistical graph of the enterprise, and displaying enterprise information of the enterprise with the emission exceeding a preset value on a display of the terminal device 102.
With continued reference to fig. 2, a flow diagram 200 of some embodiments of a method of generating a carbon dioxide emissions map according to the present disclosure is shown. The method for generating the carbon dioxide emission statistical chart comprises the following steps of:
In some embodiments, the execution subject of the method for generating the carbon dioxide emission amount statistical map may be hardware or software.
As an example, the execution body may be a server storing the region information. The region information may include location information of the region, location information of the business, and business type information. The target area may be user-set or preset. First, area information of a target area is acquired from a server. And for each enterprise in the area, judging whether the enterprise is positioned in the target area or not according to the position information of the area and the position information of the enterprise. And if the business is confirmed to be in the target area, determining the number of the businesses in the target area. And determining the number of enterprises in the calendaring industry from the determined number of enterprises in the target area according to the type information of the enterprises.
For each of the determined number of enterprises of the calendering industry, the carbon dioxide emissions of the enterprise are determined, step 202.
In some embodiments, each enterprise of the calendaring industry within the target area may be equipped with a monitoring device that monitors carbon dioxide emissions. With the above monitoring apparatus, the execution body can determine the carbon dioxide emissions of the enterprises of the respective calendering industries within the target area.
In some optional implementations of some embodiments, the carbon dioxide emissions of each of the determined number of enterprises of the calendering industry are determined according to the following formula:
E＝Eburning of+ERaw material+EProcedure+EElectric power+EHeat generationWherein E represents the total amount of greenhouse gas emissions in tons of carbon dioxide (tCO)2)；EBurning ofExpressed as fuel combustion emissions in tons of carbon dioxide (tCO)2)；ERaw materialExpressed as emissions of energy for raw material use, in tons of carbon dioxide (tCO)2)；EProcedureExpressed as process emissions in tons of carbon dioxide (tCO)2)；EElectric powerThe emission of the power consumption of the enterprise is expressed in ton of carbon dioxide (tCO)2)；EHeat generationThe emission of heat power consumption which represents the purchase of enterprises and is measured in ton of carbon dioxide (tCO)2)。
In some alternative implementations of some embodiments, the above-described fuel combustion emissions may be a summation of the carbon dioxide emissions resulting from the combustion of various fuels over an accounting and reporting year. Wherein the carbon dioxide emissions from the combustion of fossil fuels are determined according to the following formula:
In some optional implementations of some embodiments, the activity data of the fuel combustion is determined according to the following formula:
ADi＝NCVi×FCiwherein, ADiData representing activities of the ith fossil fuel in millions of kilojoules (GJ) in accounting and reporting years; NCViThe average low-order calorific value of the ith fuel in the accounting and reporting years is represented, and the value can be referred to a table 2-1; FCiRepresents the net consumption of the ith fuel in tons (t) for solid or liquid fuels, calculated and reported annually; for gaseous fuels, the unit is ten thousand cubic meters (ten thousand Nm)3) By adopting the enterprise metering data, the requirements of GB17167 energy consumption unit energy metering device allocation and management general rules can be referred to for specific related metering devices.
TABLE 2-1
In some optional implementations of some embodiments, the carbon dioxide emission factor of the combustion of the fuel is determined according to the following equation:
In some alternative implementations of some embodiments, the amount of carbon dioxide emissions from the use of the above-described energy source as a raw material (metallurgical reductant) is determined according to the following equation:
Eraw material＝ADReducing agent×EFReducing agentWherein E isRaw materialRepresenting a kernelCarbon dioxide emissions in tons of carbon dioxide (tCO) resulting from the use of energy as a raw material in years of calculation and reporting2)；EFReducing agentRepresents the carbon dioxide emission factor of the energy product used as a reducing agent, and the unit is ton carbon dioxide/ton reducing agent (tCO)2A/t reducing agent); ADReducing agentIndicating activity level, i.e. accounting and reporting annual energy product consumption as a reductant in tons (t) for solid or liquid energy and in ten thousand cubic meters (ten thousand Nm) for gaseous energy3)。
In some optional implementations of some embodiments, the process emissions are determined according to the following formula:
EProcedure＝Eoxalic acid+∑ECarbonate salt＝ADOxalic acid×EFOxalic acid+∑(ADCarbonate salt×EFCarbonate salt)
Wherein E isProcedureExpressed as process emissions in terms of tons of carbon dioxide (tCO) for accounting and reporting years2)；EOxalic acidRepresents the process emissions resulting from the decomposition of oxalic acid, expressed in tons of carbon dioxide (tCO)2)；ECarbonate saltRepresents the process emissions resulting from the decomposition of certain carbonates, in tons of carbon dioxide (tCO 2); ADOxalic acidExpressed as the accounting and reporting annual oxalic acid consumption in tons (t); ADCarbonate saltMeans to account and report the annual consumption of a certain carbonate in tons (t); EFCarbonate saltCarbon dioxide emission factor representing oxalic acid decomposition, in tons of carbon dioxide per ton of oxalic acid (tCO)2Oxalic acid,/t); EFCarbonate saltRepresents the carbon dioxide emission factor for a certain carbonate decomposition in tons of carbon dioxide per ton of carbonate (tCO)2Carbonate,/t). The activity level required is to account and report annual consumption of oxalic acid and various carbonates using enterprise metering data in tons (t)
In some optional implementations of some embodiments, the carbon dioxide emission factor for oxalic acid decomposition is determined according to the following formula:
EFoxalic acid＝0.349×PUROxalic acidWherein, EFOxalic acidCarbon dioxide emission factor representing oxalic acid decomposition, in tons of carbon dioxide per ton of oxalic acid (tCO)2Oxalic acid,/t); 0.349 represents the ratio of the molecular weight of carbon dioxide to the molecular weight of the commercial oxalic acid; PUROxalic acidIndicating the concentration (content) of oxalic acid, adopting a nominal value provided by a supplier; for example, a nominal value is not available, with a default value of 99.6%.
In some optional implementation manners of some embodiments, the carbon dioxide emission amount of the power production link corresponding to the power consumption purchased by the enterprise is determined according to the following formula:
Eelectric power＝ADElectric power×EFElectric powerWherein E isElectric powerThe unit of the carbon dioxide emission in the power production link corresponding to the purchased power is ton carbon dioxide (tCO)2)；ADElectric powerRepresents the net outsourcing electricity in megawatt hours (MWh) for accounting and reporting years; EFElectric powerRepresents the annual average power supply emission factor of a regional power grid and has the unit of ton carbon dioxide/megawatt hour (tCO)2/MWh)。
In some optional implementations of some embodiments, the net outsourcing power within the accounting and reporting year may be the total power purchased by the enterprise minus the power sold outside the enterprise. The activity data can be read according to the electric meter record of the enterprise, and can also be data on settlement vouchers such as an electric charge invoice or a settlement list provided by a supplier. The emission factors of power consumption are divided according to the production places of enterprises and the current power grid, and corresponding regional power grid emission factors published in recent years are selected.
In some optional implementations of some embodiments, the carbon dioxide emission amount of the thermal production link corresponding to the thermal consumption purchased by the enterprise is determined according to the following formula:
Eheat generation＝ADHeat generation×EFHeat generationWherein E isHeat generationThe carbon dioxide emission in the thermal production link corresponding to the purchased heat is expressed in the unit of ton of carbon dioxide (tCO)2)；ADHeat generationRepresents the net outsourcing heating power in million kilojoules (GJ) within the accounting and reporting years; EFHeat generationExpressed as annual average heating emission factor in tons of carbon dioxide per million kilojoules (tCO)2/GJ). And accounting and reporting the annual net outsourcing heat power, wherein the total heat power purchased by the enterprise is deducted from the heat power sold by the enterprise. The activity data can be read by a heat meter record of an enterprise, and can also be data on settlement vouchers such as a heat fee invoice or a settlement bill provided by a supplier. The recommended value of the emission factor of heat power consumption is 0.11tCO2/GJ。
And step 203, summarizing the carbon dioxide emission amount of each enterprise, and determining the total carbon dioxide emission amount of the enterprises in the calendering industry in the target area.
In some embodiments, the executive agent may determine the amount of carbon dioxide emissions for each of the determined number of enterprises of the calendering industry within the target area by the method illustrated in step 202 above, and then sum to determine the total amount of carbon dioxide emissions for the enterprises of the calendering industry within the target area.
And step 204, generating a statistical chart of the carbon dioxide emission of the enterprises in the calendering industry in the target area according to the total carbon dioxide emission and the carbon dioxide emission of the enterprises in each calendering industry.
In some embodiments, via step 202, the carbon dioxide emissions of a certain number of enterprises in the target area of each calendering industry can be determined, all the enterprises are ranked comparatively (the emissions are ranked from high to low), and the enterprise ranked in the top three is determined as the enterprise to be reduced. From step 203, the total amount of carbon dioxide emissions from the enterprise of the calendaring industry in the target area can be determined. And if the total carbon dioxide emission amount in the target area is greater than a first preset value (the preset value can be set manually), the executive main body sends an emission reduction instruction to the enterprise to be subjected to emission reduction. The first preset value may be determined according to an environmental load capacity or a carbon emission index. And the enterprise receiving the emission reduction instruction executes emission reduction operation of the enterprise according to a preset emission reduction plan. And finally, generating a carbon dioxide emission statistical chart of enterprises in the calendering industry in the target area.
In some optional implementations of some embodiments, the method further comprises: installing a monitoring system on an operation device of the enterprise for the enterprise with the carbon dioxide emission exceeding a preset value; monitoring the emission of the enterprise at a first preset time based on the monitoring system to obtain a first carbon dioxide emission line graph of the enterprise; determining a difference value between the carbon dioxide emission amount at the starting time and the carbon dioxide emission amount at the ending time based on the carbon dioxide emission amount line graph; and controlling the running device to stop running by utilizing the monitoring system in response to the difference value being smaller than a preset threshold value.
In some optional implementations of some embodiments, the controlling, by the monitoring system, the operation device to stop operating in response to the difference being smaller than a preset threshold includes: displaying warning information for representing emission reduction by using the monitoring system; monitoring the emission of second preset time based on the warning information to obtain a second carbon dioxide emission line graph of the enterprise; determining a difference value between the carbon dioxide emission amount at the starting time and the carbon dioxide emission amount at the ending time based on the second carbon dioxide emission amount line graph; and controlling the running device to stop running by utilizing the monitoring system in response to the difference value being smaller than a preset threshold value.
With continued reference to fig. 3, an exemplary system architecture 300 of a method of generating a carbon dioxide emissions map of an embodiment of the present disclosure may be applied.
As shown in fig. 3, the system architecture 300 may include terminal devices 301, 302, 303, a network 304, and a server 305. The network 304 serves as a medium for providing communication links between the terminal devices 301, 302, 303 and the server 305. Network 304 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
The user may use the terminal device 301, 302, 303 to interact with the server 305 via the network 304 to send communication application information, communication information and protocol information.
The terminal devices 301, 302, 303 may be hardware or software. When the terminal devices 301, 302, 303 are hardware, they may be various electronic devices having a display screen and supporting information display, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like. When the terminal device 301, 302, 303 is software, it can be installed in the electronic devices listed above. It may be implemented as multiple pieces of software or software modules (e.g., to provide distributed services) or as a single piece of software or software module. And is not particularly limited herein.
The server 305 may be a server that provides various services, such as a backend server that obtains communication information and protocol information from the terminal devices 301, 302, 303. The background server may perform processing such as decoding on the communication information and the protocol information, and feed back a processing result (e.g., the decoded communication information and the decoded protocol information) to the terminal device.
It should be noted that the method for generating short message information provided by the embodiment of the present disclosure may be executed by the terminal devices 301, 302, 303, or may be executed by the server 305. Accordingly, the apparatus for generating short message information may be disposed in the terminal devices 301, 302, 303, or may be disposed in the server 305. And is not particularly limited herein.
The server may be hardware or software. When the server is hardware, it may be implemented as a distributed server cluster formed by multiple servers, or may be implemented as a single server. When the server is software, it may be implemented as multiple pieces of software or software modules, for example, to provide distributed services, or as a single piece of software or software module. And is not particularly limited herein.
It should be understood that the number of terminal devices, networks, and servers in fig. 3 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
Referring now to fig. 4, a schematic diagram of an electronic device (e.g., the server of fig. 1) 400 suitable for use in implementing some embodiments of the present disclosure is shown. The terminal device in some embodiments of the present disclosure may include, but is not limited to, a mobile terminal such as a mobile phone, a notebook computer, a digital broadcast receiver, a PDA (personal digital assistant), a PAD (tablet computer), a PMP (portable multimedia player), a vehicle terminal (e.g., a car navigation terminal), and the like, and a fixed terminal such as a digital TV, a desktop computer, and the like. The server shown in fig. 4 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 4, electronic device 400 may include a processing device (e.g., central processing unit, graphics processor, etc.) 401 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)402 or a program loaded from a storage device 408 into a Random Access Memory (RAM) 403. In the RAM403, various programs and data necessary for the operation of the electronic apparatus 400 are also stored. The processing device 401, the ROM 402, and the RAM403 are connected to each other via a bus 404. An input/output (I/O) interface 405 is also connected to bus 404.
Generally, the following devices may be connected to the I/O interface 405: input devices 406 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 407 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 408 including, for example, tape, hard disk, etc.; and a communication device 409. The communication means 409 may allow the electronic device 400 to communicate wirelessly or by wire with other devices to exchange data. While fig. 4 illustrates an electronic device 400 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided. Each block shown in fig. 4 may represent one device or may represent multiple devices as desired.
In particular, according to some embodiments of the present disclosure, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In some such embodiments, the computer program may be downloaded and installed from a network through the communication device 409, or from the storage device 408, or from the ROM 402. The computer program, when executed by the processing apparatus 401, performs the above-described functions defined in the methods of some embodiments of the present disclosure.
It should be noted that the computer readable medium described above in some embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In some embodiments of the disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In some embodiments of the present disclosure, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
In some embodiments, the clients, servers may communicate using any currently known or future developed network Protocol, such as HTTP (HyperText Transfer Protocol), and may interconnect with any form or medium of digital data communication (e.g., a communications network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.
Computer program code for carrying out operations for embodiments of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), systems on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), and the like.
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combination of the above-mentioned features, but also encompasses other embodiments in which any combination of the above-mentioned features or their equivalents is made without departing from the inventive concept as defined above. For example, the above features and (but not limited to) technical features with similar functions disclosed in the embodiments of the present disclosure are mutually replaced to form the technical solution.
Claims (7)
1. A method for generating a statistical map of carbon dioxide emissions from other non-ferrous metal smelting processes comprising:
acquiring the number of enterprises in the calendering industry in a target area;
for each of the determined number of enterprises of the calendering industry, determining an emission of carbon dioxide for the enterprise;
summarizing the carbon dioxide emission amount of each enterprise, and determining the total carbon dioxide emission amount of the enterprises in the calendering industry in the target area;
and generating a statistical chart of the carbon dioxide emission amount of the enterprises in the calendering processing industry in the target area according to the total carbon dioxide emission amount and the carbon dioxide emission amount of each enterprise in the calendering processing industry.
2. The method of claim 1, wherein generating a statistical map of carbon dioxide emissions from the enterprises of the calendering industry within the target area based on the total carbon dioxide emissions and the carbon dioxide emissions from the respective enterprises of the calendering industry comprises:
and responding to the fact that the total amount of the carbon dioxide emission exceeds a preset threshold, and generating a statistical graph of the carbon dioxide emission of the enterprise of which the carbon dioxide emission exceeds the preset threshold.
3. The method of claim 1, wherein for each of the determined number of enterprises of the calendering industry, the amount of carbon dioxide emissions for the enterprise is determined according to the following equation:
E＝Eburning of+ERaw material+EProcedure+EElectric power+EHeat generationWherein E represents the total amount of greenhouse gas emissions; eBurning ofRepresents the fuel combustion emission amount; eRaw materialRepresents the amount of emissions for energy use as a raw material; eProcedureRepresents process emissions; eElectric powerRepresents the discharge amount of power consumption purchased by an enterprise; eHeat generationIndicating the amount of heat consumed by the enterprise.
4. The method of claim 2, wherein the method further comprises:
installing a monitoring system on an operation device of an enterprise for the enterprise with the carbon dioxide emission exceeding a preset value;
monitoring the emission of the enterprise at a first preset time based on the monitoring system to obtain a first carbon dioxide emission line graph of the enterprise;
determining a difference value between the carbon dioxide emission amount at the starting time and the carbon dioxide emission amount at the ending time based on the carbon dioxide emission amount line graph;
and controlling the running device to stop running by utilizing the monitoring system in response to the difference value being smaller than a preset threshold value.
5. The method of claims 1-4, wherein said controlling the operation device to stop operating with the monitoring system in response to the difference being less than a preset threshold comprises:
displaying warning information for characterizing emission reduction with the monitoring system;
monitoring the emission of second preset time based on the warning information to obtain a second carbon dioxide emission line graph of the enterprise;
determining a difference value between the carbon dioxide emission amount at the starting time and the carbon dioxide emission amount at the ending time based on the second carbon dioxide emission amount line graph;
and controlling the running device to stop running by utilizing the monitoring system in response to the difference value being smaller than a preset threshold value.
6. An electronic device, comprising:
one or more processors;
a storage device having one or more programs stored thereon,
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-4.
7. A computer-readable medium, on which a computer program is stored, wherein the program, when executed by a processor, implements the method of any one of claims 1-4.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113516371A (en) * | 2021-06-16 | 2021-10-19 | 杭州慧源智谷科技有限责任公司 | A method for measuring full-caliber carbon emission intensity and carbon source structure |
| CN114384203A (en) * | 2021-12-03 | 2022-04-22 | 国网青海省电力公司 | Online monitoring method and device for carbon emission of iron and steel enterprise |
| CN115271994A (en) * | 2022-04-19 | 2022-11-01 | 国网冀北电力有限公司电力科学研究院 | Power industry carbon emission monitoring method and device based on digital twinning |
| CN116245378A (en) * | 2023-02-24 | 2023-06-09 | 中国工商银行股份有限公司 | Method, device, storage medium and electronic device for determining carbon emission strategy |
-
2019
- 2019-11-05 CN CN201911071546.5A patent/CN112765153A/en not_active Withdrawn
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113516371A (en) * | 2021-06-16 | 2021-10-19 | 杭州慧源智谷科技有限责任公司 | A method for measuring full-caliber carbon emission intensity and carbon source structure |
| CN114384203A (en) * | 2021-12-03 | 2022-04-22 | 国网青海省电力公司 | Online monitoring method and device for carbon emission of iron and steel enterprise |
| CN114384203B (en) * | 2021-12-03 | 2023-10-20 | 国网青海省电力公司 | An online monitoring method and device for carbon emissions of steel enterprises |
| CN115271994A (en) * | 2022-04-19 | 2022-11-01 | 国网冀北电力有限公司电力科学研究院 | Power industry carbon emission monitoring method and device based on digital twinning |
| CN116245378A (en) * | 2023-02-24 | 2023-06-09 | 中国工商银行股份有限公司 | Method, device, storage medium and electronic device for determining carbon emission strategy |
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