WO2023197879A1 - 一种碳排放监测方法、装置、设备及存储介质 - Google Patents

一种碳排放监测方法、装置、设备及存储介质 Download PDF

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WO2023197879A1
WO2023197879A1 PCT/CN2023/084927 CN2023084927W WO2023197879A1 WO 2023197879 A1 WO2023197879 A1 WO 2023197879A1 CN 2023084927 W CN2023084927 W CN 2023084927W WO 2023197879 A1 WO2023197879 A1 WO 2023197879A1
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Prior art keywords
alarm
carbon emission
emission
real
exhaust gas
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English (en)
French (fr)
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李爱霞
余海军
谢英豪
李长东
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Hunan Brunp Recycling Technology Co Ltd
Guangdong Brunp Recycling Technology Co Ltd
Hunan Bangpu Automobile Circulation Co Ltd
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Hunan Brunp Recycling Technology Co Ltd
Guangdong Brunp Recycling Technology Co Ltd
Hunan Bangpu Automobile Circulation Co Ltd
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Publication of WO2023197879A1 publication Critical patent/WO2023197879A1/zh
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06F16/245—Query processing
    • G06F16/2455—Query execution
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/26—Government or public services

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  • This application relates to the field of gas monitoring technology, for example, to a carbon emission monitoring method, device, equipment and storage medium.
  • This application provides a carbon emission monitoring method, device, equipment and storage medium, which realizes real-time monitoring of carbon emissions through real-time calculation of CO 2 emissions, which is convenient and reliable.
  • the embodiment of this application provides a carbon emission monitoring method, which includes the following steps:
  • the exhaust gas emission data at least include the real-time detection value of the exhaust gas emission flow rate and the real-time detection value of the CO 2 concentration in the exhaust gas;
  • a first alarm strategy corresponding to the comparison value is obtained from the preset over-standard alarm database to determine the first alarm strategy according to the first
  • the alarm policy controls the alarm to sound.
  • Embodiments of the present application also provide a carbon emission monitoring device, including:
  • the data acquisition module obtains the exhaust gas emission data of the monitored object.
  • the exhaust gas emission data at least includes a real-time detection value of the exhaust gas emission flow and a real-time detection value of the CO 2 concentration in the exhaust gas;
  • a CO 2 real-time emission calculation module configured to calculate the CO 2 real-time emission based on the exhaust gas emission data
  • the first alarm module when the comparison value between the real-time CO 2 emission amount and the standard CO 2 emission amount meets the over-standard emission threshold, queries the preset over-standard alarm database to obtain the first alarm strategy corresponding to the comparison value, to The alarm is controlled to issue an alarm according to the first alarm strategy.
  • Another embodiment of the present application provides a carbon emission monitoring device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor.
  • the processor executes the computer program At the same time, the carbon emission monitoring method as mentioned above is implemented.
  • Embodiments of the present application also provide a computer-readable storage medium.
  • the computer-readable storage medium includes a stored computer program; wherein, when running, the computer program controls the device where the computer-readable storage medium is located to execute the following: The carbon emission monitoring method mentioned above.
  • Figure 1 is a flow chart of a carbon emission monitoring method provided by an embodiment of the present application.
  • Figure 2 is a structural block diagram of a carbon emission monitoring device provided by an embodiment of the present application.
  • Figure 3 is a structural block diagram of a carbon emission monitoring device provided by an embodiment of the present application.
  • FIG. 1 is a flow chart of a carbon emission monitoring method provided by an embodiment of the present application.
  • the carbon emission monitoring method includes:
  • the exhaust gas emission data at least includes the real-time detection value of the exhaust gas emission flow and the real-time detection value of the CO 2 concentration in the exhaust gas;
  • the embodiments of the present application are used to monitor CO 2 emissions during the recycling process of used batteries.
  • the alarm is controlled to sound an alarm according to different first alarm strategies. , which facilitates on-site personnel to quickly obtain carbon emission information and quickly initiate response plans.
  • the monitoring object is a gas collection tube
  • the real-time detection value of CO 2 concentration in the exhaust gas is directly obtained through the CO 2 detector.
  • the real-time detection value of CO2 concentration in the exhaust gas is obtained through the following steps:
  • the CO 2 concentration formula is:
  • a 2 ( va ) is the absorbance amplitude of the second signal with the output frequency v a ;
  • I 0 is the incident radiation intensity,
  • B is the coefficient, calibrated through experiments;
  • L is the thickness of the light-absorbing material.
  • the real-time detection value of CO 2 concentration in exhaust gas is calculated using the CO 2 concentration formula.
  • A represents the absorbance amplitude
  • I 0 represents the incident radiation intensity
  • I t represents the transmitted radiation intensity
  • C represents the CO 2 concentration
  • K represents the absorption rate of CO 2 ;
  • a 2 ( va ) is the absorbance amplitude of the second signal with the output frequency v a ;
  • I 0 is the incident radiation intensity,
  • B is the coefficient, calibrated through experiments;
  • L is the thickness of the light-absorbing material.
  • step S2 the real-time CO 2 emissions are calculated based on the exhaust gas emission data, including:
  • C t is the real-time detection value of CO 2 concentration in exhaust gas at time t
  • S t is the real-time detection value of exhaust gas emission flow at time t
  • M t is the real-time emission amount of CO 2 at time t
  • t and T represent time.
  • the first alarm strategy includes:
  • the carbon emission exceeding standard threshold range includes:
  • the carbon emission exceedance threshold range corresponding to the third-level carbon emission exceedance directive is (0, 0.2M];
  • the carbon emission excess threshold range corresponding to the second-level carbon emission excess standard directive is (0.2M, 0.5M];
  • the carbon emission excess threshold range corresponding to the first-level carbon emission excess standard directive is (0.5M, + ⁇ );
  • M is the standard CO2 emission.
  • the control alarm When M t -M ⁇ 20% M, the control alarm emits a gentle alarm sound every 2 seconds, and simultaneously broadcasts the third-level carbon emission exceeding standard and responds to the third-level response plan;
  • the control alarm When 20%M ⁇ M t -M ⁇ 50% M, the control alarm emits a common alarm sound every 1 second, and simultaneously broadcasts the second-level carbon emission exceeding standard and responds to the second-level response plan;
  • the control alarm When M t -M>50%M, the control alarm emits five rapid alarm sounds every 1 second, and simultaneously broadcasts the first-level carbon emission exceeding standard and responds to the first-level response plan.
  • the carbon emission monitoring method further includes:
  • the second alarm strategy includes:
  • the alarm sound emitted by the alarm is controlled according to the change rate.
  • the carbon emission monitoring method obtained by the embodiment of the present application obtains the exhaust gas emission data of the monitoring object, and the exhaust gas emission data at least includes the real-time detection value of the exhaust gas emission flow and the real-time detection value of the CO 2 concentration in the exhaust gas; based on the The above-mentioned exhaust gas emission data is used to calculate the real-time emission amount of CO 2 ; when the comparison value between the real-time CO 2 emission amount and the standard CO 2 emission amount meets the over-standard emission threshold, the corresponding comparison value is obtained from the preset over-standard alarm database.
  • the first alarm strategy is used to control the alarm to issue an alarm according to the first alarm strategy, thereby realizing real-time monitoring of carbon emissions, which is convenient and reliable.
  • FIG 2 is a structural block diagram of a carbon emission monitoring device 10 provided by an embodiment of the present application.
  • the carbon emission monitoring device 10 includes:
  • the data acquisition module 11 acquires the exhaust gas emission data of the monitored object, and the exhaust gas emission data at least includes the real-time detection value of the exhaust gas emission flow and the real-time detection value of the CO 2 concentration in the exhaust gas;
  • the CO 2 real-time emission calculation module 12 is configured to calculate the CO 2 real-time emission based on the exhaust gas emission data
  • the first alarm module 13 when the comparison value between the real-time CO 2 emission amount and the standard CO 2 emission amount meets the over-standard emission threshold, queries the preset over-standard alarm database to obtain the first alarm strategy corresponding to the comparison value, The alarm is controlled to issue an alarm according to the first alarm strategy.
  • the first alarm strategy includes:
  • the carbon emission exceeding standard threshold range includes:
  • the carbon emission exceedance threshold range corresponding to the third-level carbon emission exceedance directive is (0, 0.2M];
  • the carbon emission excess threshold range corresponding to the second-level carbon emission excess standard directive is (0.2M, 0.5M];
  • the carbon emission excess threshold range corresponding to the first-level carbon emission excess standard directive is (0.5M, + ⁇ );
  • M is the standard CO2 emission.
  • the carbon emission monitoring device also includes:
  • the CO 2 emission calculation module is set to calculate the CO 2 emission at the next moment
  • a change rate calculation module configured to calculate the change rate of CO 2 emissions based on the real-time CO 2 emissions and the CO 2 emissions;
  • the second alarm module is configured to query a preset change rate database to obtain a second alarm strategy corresponding to the change rate, so as to control the alarm to issue an alarm according to the second alarm strategy.
  • the second alarm strategy includes:
  • the real-time detection value of CO 2 concentration in exhaust gas is calculated using the CO 2 concentration formula.
  • the real-time CO 2 emissions calculated based on the exhaust gas emission data include:
  • C t is the real-time detection value of CO 2 concentration in exhaust gas at time t
  • S t is the real-time detection value of exhaust gas emission flow at time t
  • M t is the real-time emission amount of CO 2 at time t
  • t and T represent time.
  • the carbon emission monitoring device 10 obtaineds the exhaust gas emission data of the monitoring object, and the exhaust gas emission data at least includes the real-time detection value of the exhaust gas emission flow and the real-time detection value of the CO 2 concentration in the exhaust gas; based on The exhaust gas emission data is calculated to obtain the real-time emission amount of CO 2 ; when the comparison value between the real-time CO 2 emission amount and the standard CO 2 emission amount meets the over-standard emission threshold, the corresponding comparison is obtained from the preset over-standard alarm database.
  • the first alarm strategy of the value is used to control the alarm to issue an alarm according to the first alarm strategy, thereby realizing real-time monitoring of carbon emissions, which is convenient and reliable.
  • Embodiments of the present application provide a computer-readable storage medium.
  • the computer-readable storage medium includes a stored computer program; wherein, when running, the computer program controls the device where the computer-readable storage medium is located to execute as described above.
  • the carbon emission monitoring method described in the embodiment is not limited to:
  • Fig. 3 is a structural block diagram of a carbon emission monitoring device 20 provided by an embodiment of the present application.
  • the carbon emission monitoring device 20 includes: a processor 21, a memory 22 and a device stored in the memory 22 and available in A computer program runs on the processor 21 .
  • the processor 21 executes the computer program, the steps in the above carbon emission monitoring method embodiment are implemented.
  • the processor 21 executes the computer program, it implements the functions of multiple modules/units in the above device embodiments.
  • the computer program may be divided into at least one module/unit, and the at least one module/unit is stored in the memory 22 and executed by the processor 21 to complete the present application.
  • the at least one module/unit may be a series of computer program instruction segments capable of completing specific functions, and the instruction segments are configured to describe the execution process of the computer program in the carbon emission monitoring device 20 .
  • the carbon emission monitoring device 20 may be a computing device such as a desktop computer, a notebook, a PDA, a cloud server, etc.
  • the carbon emission monitoring device 20 may include, but is not limited to, a processor 21 and a memory 22 .
  • a processor 21 and a memory 22 .
  • the schematic diagram is only an example of the carbon emission monitoring device 20 and does not constitute a limitation on the carbon emission monitoring device 20. It may include more or fewer components than shown in the figure, or multiple components may be combined. , or different components, for example, the carbon emission monitoring device 20 may also include input and output devices, network access devices, buses, etc.
  • the so-called processor 21 can be a central processing unit (Central Processing Unit, CPU), or other general-purpose processor, digital signal processor (Digital Signal Processor, DSP), application specific integrated circuit (Application Specific Integrated Circuit, ASIC), Field-Programmable Gate Array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.
  • the general processor can be a microprocessor or the processor can be any conventional processor, etc.
  • the processor 21 is the control center of the carbon emission monitoring device 20 and uses various interfaces and lines to connect the entire carbon emission monitoring Various parts of device 20.
  • the memory 22 may be configured to store the computer program and/or module, and the processor 21 runs or executes the computer program and/or module stored in the memory 22 and calls the data stored in the memory 22 , to realize various functions of the carbon emission monitoring device 20.
  • the memory 22 may mainly include a stored program area and a stored data area, wherein the stored program area may store the operating system, at least one application required for a function (such as a sound playback function, an image playback function, etc.), etc.; the storage data area may store data according to the mobile phone. The data created by using it (such as audio data, phone book, etc.), etc.
  • the memory 22 may include high-speed random access memory, and may also include non-volatile memory, such as hard disk, memory, plug-in hard disk, smart memory card (Smart Media Card, SMC), secure digital (Secure Digital, SD) Card, Flash Card, at least one disk storage device, flash memory device, or other volatile solid-state storage device.
  • non-volatile memory such as hard disk, memory, plug-in hard disk, smart memory card (Smart Media Card, SMC), secure digital (Secure Digital, SD) Card, Flash Card, at least one disk storage device, flash memory device, or other volatile solid-state storage device.
  • the integrated modules/units of the carbon emission monitoring device 20 are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium.
  • the present application can implement all or part of the processes in the methods of the above embodiments, which can also be completed by instructing relevant hardware through a computer program.
  • the computer program can be stored in a computer-readable storage medium, and the computer can When the program is executed by the processor 21, the steps of the above method embodiments can be implemented.
  • the computer program includes computer program code, and the computer program code may be in source code form, object code form, executable file or intermediate form, etc.
  • the computer-readable medium may include: any entity or device capable of carrying the computer program code, recording media, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (Read-Only Memory, ROM) , random access memory (Random Access Memory, RAM), electrical carrier signals, telecommunications signals, and software distribution media, etc.

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Abstract

本申请公开了一种碳排放监测方法、装置、设备及存储介质，所述方法包括：获取监测对象的废气排放数据，所述废气排放数据至少包括废气排放流量的实时检测值、废气中CO2浓度的实时检测值；基于所述废气排放数据计算得到CO2实时排放量；在所述CO2实时排放量与标准CO2排放量的比较值满足超标排放阈值时，从预设的超标报警数据库中查询得到对应所述比较值的第一报警策略，以根据所述第一报警策略控制报警器发出警报。

Description

一种碳排放监测方法、装置、设备及存储介质
本申请要求在2022年4月11日提交中国专利局、申请号为202210372535.6的中国专利申请的优先权，该申请的全部内容通过引用结合在本申请中。
技术领域
本申请涉及气体监测技术领域，例如涉及一种碳排放监测方法、装置、设备及存储介质。
背景技术
近20年来，中国工业保持高速发展，环境污染的程度也随之加重。CO2排放已成为中国城市和区域大气污染的主要来源之一，也是温室效应污染物排放中增长最快的领域之一。我国的高能耗、高污染、高排放的发展模式已经严重制约了经济和环境的可持续发展。温室效应会造成严重的环境影响，例如冰川消退、海平面上升、南北极和永冻层冰盖以及高山冰川逐渐融化、气候带的北移，使得我国贵州地区冬季气候越来越明显，全球变暖不仅仅会影响农作物生长，更会影响农作物品质。因此，十分有必要研究一种碳排放监测方法。
发明内容
本申请提供一种碳排放监测方法、装置、设备及存储介质，通过实时计算CO2排放量，实现对碳排放的实时监测，方便可靠。
本申请实施例提供了一种碳排放监测方法，包括以下步骤：
获取监测对象的废气排放数据，所述废气排放数据至少包括废气排放流量的实时检测值、废气中CO2浓度的实时检测值；
基于所述废气排放数据计算得到CO2实时排放量；
在所述CO2实时排放量与标准CO2排放量的比较值满足超标排放阈值时，从预设的超标报警数据库中查询得到对应所述比较值的第一报警策略，以根据所述第一报警策略控制报警器发出警报。
本申请实施例还提供了一种碳排放监测装置，包括：
数据获取模块，获取监测对象的废气排放数据，所述废气排放数据至少包括废气排放流量的实时检测值、废气中CO2浓度的实时检测值；
CO2实时排放量计算模块，设置为基于所述废气排放数据计算得到CO2实时排放量；
第一报警模块，在所述CO2实时排放量与标准CO2排放量的比较值满足超标排放阈值时，从预设的超标报警数据库中查询得到对应所述比较值的第一报警策略，以根据所述第一报警策略控制报警器发出警报。
本申请还实施例提供了一种碳排放监测设备，包括处理器、存储器以及存储在所述存储器中且被配置为由所述处理器执行的计算机程序，所述处理器在执行所述计算机程序时实现如上述的碳排放监测方法。
本申请实施例还提供了一种计算机可读存储介质，所述计算机可读存储介质包括存储的计算机程序；其中，所述计算机程序在运行时控制所述计算机可读存储介质所在的设备执行如上述的碳排放监测方法。
附图说明
图1是本申请实施例提供的一种碳排放监测方法的流程图；
图2是本申请实施例提供的一种碳排放监测装置的结构框图；
图3是本申请实施例提供的一种碳排放监测设备的结构框图。
具体实施方式
参见图1，图1是本申请实施例提供的一种碳排放监测方法的流程图，所述碳排放监测方法，包括：
S1、获取监测对象的废气排放数据，所述废气排放数据至少包括废气排放流量的实时检测值、废气中CO2浓度的实时检测值；
S2、基于所述废气排放数据计算得到CO2实时排放量；
S3、在所述CO2实时排放量与标准CO2排放量的比较值满足超标排放阈值时，从预设的超标报警数据库中查询得到对应所述比较值的第一报警策略，以根据所述第一报警策略控制报警器发出警报。
示例性的，采用本申请实施例监测废旧电池回收过程中的CO2排放量，当计算得到的CO2实时排放量超过标准CO2排放量时，根据不同的第一报警策略控制报警器发出警报，便于现场人员快速获得碳排放的情况并能够快速启动响应方案。
在又一可选实施例中，在步骤S1中，监测对象为气体收集管；
通过空气流量检测仪直接获取废气排放流量的实时检测值；
通过CO2检测仪直接获取废气中CO2浓度的实时检测值。
在又一可选实施例中，通过以下步骤获取废气中CO2浓度的实时检测值：
基于朗伯比尔定律，对吸光度幅度进行余弦傅里叶级数展开、泰勒公式展开，得到CO2浓度公式；
其中，所述CO2浓度公式为：
式中，A2(va)为输出频率为va、第2次信号的吸光度幅度；I0为入射辐射强度，B为系数，通过实验校准；L为吸光物质厚度。
利用CO2浓度公式计算得到废气中CO2浓度的实时检测值。
需要说明的是，根据朗伯比尔定律可知，CO2的浓度计算的公式如下：
A＝ln Io/It＝ln 1/T＝KLC
式中，A表示吸光度幅度，I0表示入射辐射强度，It表示透射辐射强度，C表示CO2浓度，K表示CO2的吸收率；
经过公式变化：
It(v)＝Io(v)exp(-K(v)LC)
It(v)＝Io(v)(1-K(v)LC)
A(v)＝K(v)LC
利用余弦傅里叶级数展开为

θ＝ωt
式中，An为第n次信号的吸光度幅度，输出频率：v＝va+αcosωt
进行泰勒公式展开的
当n＝2时，
令其中，B通过实验校准；
得到CO2浓度公式为：
式中，A2(va)为输出频率为va、第2次信号的吸光度幅度；I0为入射辐射强度，B为系数，通过实验校准；L为吸光物质厚度。
可以理解的是，可以收集到A2(va)、I0、B、L的数值，接着利用CO2浓度公式技术得到废气中CO2浓度的实时检测值。
示例性地，在步骤S2中，所述基于所述废气排放数据计算得到CO2实时排放量，包括：
根据下式，计算得到CO2实时排放量：
其中，Ct为t时刻的废气中CO2浓度的实时检测值，St为t时刻的废气排放流量的实时检测值，Mt为t时刻的CO2实时排放量，t、T表示时刻。
示例性地，在步骤S3中，所述第一报警策略包括：
根据所述比较值与碳排放超标阈值范围的匹配结果，
生成报警器发出轻缓报警声的三级碳排放超标指令，并将所述三级碳排放超标指令下发至所述报警器；或，
生成报警器发出普通报警声的二级碳排放超标指令，并将所述二级碳排放超标指令下发至所述报警器；或，
生成报警器发出急促报警声的一级碳排放超标指令，并将所述一级碳排放超标指令下发至所述报警器。
示例性地，所述碳排放超标阈值范围包括：
与所述三级碳排放超标指令对应的碳排放超标阈值范围为(0，0.2M]；
与所述二级碳排放超标指令对应的碳排放超标阈值范围为(0.2M，0.5M]；
与所述一级碳排放超标指令对应的碳排放超标阈值范围为(0.5M，+∞)；
其中，M为标准CO2排放量。
示例性的，设定标准CO2排放量为M，则
当Mt≤M，控制报警器不发出报警声音；
当Mt-M≤20％M，控制报警器发出每2秒一声的轻缓报警声，同时播报三级碳排放超标，响应三级应对方案；
当20％M≤Mt-M≤50％M，控制报警器发出每1秒一声的普通报警声，同时播报二级碳排放超标，响应二级应对方案；
当Mt-M＞50％M，控制报警器发出每1秒五声的急促报警声，同时播报一级碳排放超标，响应一级应对方案。
在又一可选实施例中，所述碳排放监测方法还包括：
计算下一时刻的CO2排放量；
根据所述CO2实时排放量和所述CO2排放量，计算CO2排放量的变化率；
从预设的变化率数据库中查询得到对应所述变化率的第二报警策略，以根据所述第二报警策略控制报警器发出警报。
示例性地，所述第二报警策略包括：
根据所述变化率与变化率阈值范围的匹配结果，
生成报警器发出轻缓报警声的三级碳排放超标指令，并将所述三级碳排放超标指令下发至所述报警器；或，
生成报警器发出普通报警声的二级碳排放超标指令，并将所述二级碳排放超标指令下发至所述报警器；或，
生成报警器发出急促报警声的一级碳排放超标指令，并将所述一级碳排放超标指令下发至所述报警器。
可以理解的是，根据变化率的大小控制报警器发出的报警声。
本申请实施例所提供的一种碳排放监测方法，通过获取监测对象的废气排放数据，所述废气排放数据至少包括废气排放流量的实时检测值、废气中CO2浓度的实时检测值；基于所述废气排放数据计算得到CO2实时排放量；在所述CO2实时排放量与标准CO2排放量的比较值满足超标排放阈值时，从预设的超标报警数据库中查询得到对应所述比较值的第一报警策略，以根据所述第一报警策略控制报警器发出警报，实现了对碳排放的实时监测，方便可靠。
参见图2，图2是本申请实施例提供的一种碳排放监测装置10的结构框图，所述碳排放监测装置10，包括：
数据获取模块11，获取监测对象的废气排放数据，所述废气排放数据至少包括废气排放流量的实时检测值、废气中CO2浓度的实时检测值；
CO2实时排放量计算模块12，设置为基于所述废气排放数据计算得到CO2实时排放量；
第一报警模块13，在所述CO2实时排放量与标准CO2排放量的比较值满足超标排放阈值时，从预设的超标报警数据库中查询得到对应所述比较值的第一报警策略，以根据所述第一报警策略控制报警器发出警报。
可选地，所述第一报警策略包括：
根据所述比较值与碳排放超标阈值范围的匹配结果，
生成报警器发出轻缓报警声的三级碳排放超标指令，并将所述三级碳排放超标指令下发至所述报警器；或，
生成报警器发出普通报警声的二级碳排放超标指令，并将所述二级碳排放超标指令下发至所述报警器；或，
生成报警器发出急促报警声的一级碳排放超标指令，并将所述一级碳排放超标指令下发至所述报警器。
可选地，所述碳排放超标阈值范围包括：
与所述三级碳排放超标指令对应的碳排放超标阈值范围为(0，0.2M]；
与所述二级碳排放超标指令对应的碳排放超标阈值范围为(0.2M，0.5M]；
与所述一级碳排放超标指令对应的碳排放超标阈值范围为(0.5M，+∞)；
其中，M为标准CO2排放量。
可选地，所述碳排放监测装置还包括：
CO2排放量计算模块，设置为计算下一时刻的CO2排放量；
变化率计算模块，设置为根据所述CO2实时排放量和所述CO2排放量，计算CO2排放量的变化率；
第二报警模块，设置为从预设的变化率数据库中查询得到对应所述变化率的第二报警策略，以根据所述第二报警策略控制报警器发出警报。
可选地，所述第二报警策略包括：
根据所述变化率与变化率阈值范围的匹配结果，
生成报警器发出轻缓报警声的三级碳排放超标指令，并将所述三级碳排放超标指令下发至所述报警器；或，
生成报警器发出普通报警声的二级碳排放超标指令，并将所述二级碳排放超标指令下发至所述报警器；或，
生成报警器发出急促报警声的一级碳排放超标指令，并将所述一级碳排放超标指令下发至所述报警器。
可选地，通过以下步骤获取废气中CO2浓度的实时检测值：
基于朗伯比尔定律，对吸光度幅度进行余弦傅里叶级数展开、泰勒公式展开，得到CO2浓度公式；
利用CO2浓度公式计算得到废气中CO2浓度的实时检测值。
可选地，所述基于所述废气排放数据计算得到CO2实时排放量，包括：
根据下式，计算得到CO2实时排放量：
其中，Ct为t时刻的废气中CO2浓度的实时检测值，St为t时刻的废气排放流量的实时检测值，Mt为t时刻的CO2实时排放量，t、T表示时刻。
值得说明的是，本申请实施例所述的碳排放监测装置10中每个模块的工作过程可参考上述实施例所述的碳排放监测方法的工作过程，在此不再赘述。
本申请实施例所提供的一种碳排放监测装置10，通过获取监测对象的废气排放数据，所述废气排放数据至少包括废气排放流量的实时检测值、废气中CO2浓度的实时检测值；基于所述废气排放数据计算得到CO2实时排放量；在所述CO2实时排放量与标准CO2排放量的比较值满足超标排放阈值时，从预设的超标报警数据库中查询得到对应所述比较值的第一报警策略，以根据所述第一报警策略控制报警器发出警报，实现了对碳排放的实时监测，方便可靠。
本申请实施例提供了一种计算机可读存储介质，所述计算机可读存储介质包括存储的计算机程序；其中，所述计算机程序在运行时控制所述计算机可读存储介质所在的设备执行如上述实施例所述的碳排放监测方法。
参见图3，图3是本申请实施例提供的一种碳排放监测设备20的结构框图，所述碳排放监测设备20包括：处理器21、存储器22以及存储在所述存储器22中并可在所述处理器21上运行的计算机程序。所述处理器21执行所述计算机程序时实现上述碳排放监测方法实施例中的步骤。或者，所述处理器21执行所述计算机程序时实现上述装置实施例中多个模块/单元的功能。
示例性的，所述计算机程序可以被分割成至少一个模块/单元，所述至少一个模块/单元被存储在所述存储器22中，并由所述处理器21执行，以完成本申请。所述至少一个模块/单元可以是能够完成特定功能的一系列计算机程序指令段，该指令段设置为描述所述计算机程序在所述碳排放监测设备20中的执行过程。
所述碳排放监测设备20可以是桌上型计算机、笔记本、掌上电脑及云端服务器等计算设备。所述碳排放监测设备20可包括，但不仅限于，处理器21、存储器22。本领域技术人员可以理解，所述示意图仅仅是碳排放监测设备20的示例，并不构成对碳排放监测设备20的限定，可以包括比图示更多或更少的部件，或者组合多个部件，或者不同的部件，例如所述碳排放监测设备20还可以包括输入输出设备、网络接入设备、总线等。
所称处理器21可以是中央处理单元(Central Processing Unit，CPU)，还可以是其他通用处理器、数字信号处理器(Digital Signal Processor，DSP)、专用集成电路(Application Specific Integrated Circuit，ASIC)、现场可编程门阵列(Field-Programmable Gate Array，FPGA)或者其他可编程逻辑器件、分立门或者晶体管逻辑器件、分立硬件组件等。通用处理器可以是微处理器或者该处理器也可以是任何常规的处理器等，所述处理器21是所述碳排放监测设备20的控制中心，利用各种接口和线路连接整个碳排放监测设备20的多个部分。
所述存储器22可设置为存储所述计算机程序和/或模块，所述处理器21通过运行或执行存储在所述存储器22内的计算机程序和/或模块，以及调用存储在存储器22内的数据，实现所述碳排放监测设备20的各种功能。所述存储器 22可主要包括存储程序区和存储数据区，其中，存储程序区可存储操作系统、至少一个功能所需的应用程序(比如声音播放功能、图像播放功能等)等；存储数据区可存储根据手机的使用所创建的数据(比如音频数据、电话本等)等。此外，存储器22可以包括高速随机存取存储器，还可以包括非易失性存储器，例如硬盘、内存、插接式硬盘，智能存储卡(Smart Media Card,SMC)，安全数字(Secure Digital,SD)卡，闪存卡(Flash Card)、至少一个磁盘存储器件、闪存器件、或其他易失性固态存储器件。
其中，所述碳排放监测设备20集成的模块/单元如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。基于这样的理解，本申请实现上述实施例方法中的全部或部分流程，也可以通过计算机程序来指令相关的硬件来完成，所述的计算机程序可存储于一计算机可读存储介质中，该计算机程序在被处理器21执行时，可实现上述方法实施例的步骤。其中，所述计算机程序包括计算机程序代码，所述计算机程序代码可以为源代码形式、对象代码形式、可执行文件或中间形式等。所述计算机可读介质可以包括：能够携带所述计算机程序代码的任何实体或装置、记录介质、U盘、移动硬盘、磁碟、光盘、计算机存储器、只读存储器(Read-Only Memory，ROM)、随机存取存储器(Random Access Memory，RAM)、电载波信号、电信信号以及软件分发介质等。

Claims (10)

  1. 一种碳排放监测方法，包括：
    获取监测对象的废气排放数据，所述废气排放数据至少包括废气排放流量的实时检测值、废气中CO2浓度的实时检测值；
    基于所述废气排放数据计算得到CO2实时排放量；
    在所述CO2实时排放量与标准CO2排放量的比较值满足超标排放阈值时，从预设的超标报警数据库中查询得到对应所述比较值的第一报警策略，以根据所述第一报警策略控制报警器发出警报。
  2. 如权利要求1所述的碳排放监测方法，其中，所述第一报警策略包括：
    根据所述比较值与碳排放超标阈值范围的匹配结果，
    生成报警器发出轻缓报警声的三级碳排放超标指令，并将所述三级碳排放超标指令下发至所述报警器；或，
    生成报警器发出普通报警声的二级碳排放超标指令，并将所述二级碳排放超标指令下发至所述报警器；或，
    生成报警器发出急促报警声的一级碳排放超标指令，并将所述一级碳排放超标指令下发至所述报警器。
  3. 如权利要求2所述的碳排放监测方法，其中，所述碳排放超标阈值范围包括：
    与所述三级碳排放超标指令对应的碳排放超标阈值范围为(0，0.2M]；
    与所述二级碳排放超标指令对应的碳排放超标阈值范围为(0.2M，0.5M]；
    与所述一级碳排放超标指令对应的碳排放超标阈值范围为(0.5M，+∞)；
    其中，M为标准CO2排放量。
  4. 如权利要求1所述的碳排放监测方法，还包括：
    计算下一时刻的CO2排放量；
    根据所述CO2实时排放量和所述下一时刻的CO2排放量，计算CO2排放量的变化率；
    从预设的变化率数据库中查询得到对应所述变化率的第二报警策略，以根 据所述第二报警策略控制报警器发出警报。
  5. 如权利要求4所述的碳排放监测方法，其中，所述第二报警策略包括：
    根据所述变化率与变化率阈值范围的匹配结果，
    生成报警器发出轻缓报警声的三级碳排放超标指令，并将所述三级碳排放超标指令下发至所述报警器；或，
    生成报警器发出普通报警声的二级碳排放超标指令，并将所述二级碳排放超标指令下发至所述报警器；或，
    生成报警器发出急促报警声的一级碳排放超标指令，并将所述一级碳排放超标指令下发至所述报警器。
  6. 如权利要求1所述的碳排放监测方法，其中，获取废气中CO2浓度的实时检测值包括：
    基于朗伯比尔定律，对吸光度幅度进行余弦傅里叶级数展开、泰勒公式展开，得到CO2浓度公式；
    利用CO2浓度公式计算得到废气中CO2浓度的实时检测值。
  7. 如权利要求1所述的碳排放监测方法，其中，所述基于所述废气排放数据计算得到CO2实时排放量，包括：
    根据下式，计算得到CO2实时排放量：
    其中，Ct为t时刻的废气中CO2浓度的实时检测值，St为t时刻的废气排放流量的实时检测值，Mt为t时刻的CO2实时排放量，t、T表示时刻。
  8. 一种碳排放监测装置，包括：
    数据获取模块(11)，获取监测对象的废气排放数据，所述废气排放数据至少包括废气排放流量的实时检测值、废气中CO2浓度的实时检测值；
    CO2实时排放量计算模块(12)，设置为基于所述废气排放数据计算得到CO2实时排放量；
    第一报警模块(13)，在所述CO2实时排放量与标准CO2排放量的比较值满足超标排放阈值时，从预设的超标报警数据库中查询得到对应所述比较值的第一报警策略，以根据所述第一报警策略控制报警器发出警报。
  9. 一种碳排放监测设备，包括处理器(21)、存储器(22)以及存储在所述存储器(22)中且被配置为由所述处理器(21)执行的计算机程序，所述处理器(21)在执行所述计算机程序时实现如权利要求1～7任一项所述的碳排放监测方法。
  10. 一种计算机可读存储介质，包括存储的计算机程序；其中，所述计算机程序在运行时控制所述计算机可读存储介质所在的设备执行如权利要求1～7任一项所述的碳排放监测方法。
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