Carbon emission sub-statistics method and device and computer readable storage medium

Abstract

The application discloses a carbon emission segmentation statistics method and device and a computer readable storage medium. The method comprises the following steps: obtaining a target energy consumption and a state of a target device; wherein the state comprises a running state, a standby state and a shutdown state; dividing the state period according to the time point of the state change in the state; and determining the period energy consumption and the period carbon emission corresponding to each state period according to the target energy consumption. In the foregoing manner, the carbon emission of the device can be accurately divided according to different state periods such as the running state, the standby state and the shutdown state.

Description

Technical Field

[0001] This application relates to the field of carbon emission technology, and in particular to carbon emission segmentation statistics methods, apparatus and computer-readable storage media. Background Technology

[0002] Currently, industrial enterprises typically calculate carbon emissions by unit, using equipment or workshop as the basis. The total energy consumption within the statistical period is multiplied by a fixed emission factor to arrive at the total carbon emissions. This method only provides total data and cannot distinguish whether equipment carbon emissions occur during normal production, idling, or shutdown for power preservation. Managers find it difficult to assess the rationality of carbon emissions and cannot accurately identify potential energy-saving opportunities such as idle time wastage. Summary of the Invention

[0003] The carbon emission segmentation statistical method, device, and computer-readable storage medium provided in this application can accurately break down the carbon emissions of equipment according to different states such as operation, standby, and shutdown, quantify the carbon emission ratio of each state, and identify energy waste in non-production states.

[0004] In a first aspect, this application provides a method for segmented carbon emission statistics, which includes: obtaining the target energy consumption and status of the target device; wherein the status includes operating status, standby status and shutdown status; dividing the status into time periods according to the time points of status changes; and determining the time period energy consumption and time period carbon emissions corresponding to each status time period based on the target energy consumption.

[0005] In some embodiments, obtaining the energy consumption and status of the target device includes: using an electricity meter or current transformer to collect the instantaneous power or cumulative electricity consumption of the target device as the target energy consumption; using a status sensor to collect the status of the target device, or using the instantaneous power to determine the status.

[0006] In some embodiments, determining the state using instantaneous power includes: determining the state of the target device as an operating state in response to the instantaneous power being greater than a first power threshold; determining the state of the target device as a standby state in response to the instantaneous power being greater than a second power threshold and less than or equal to the first power threshold; and determining the state of the target device as a shutdown state in response to the instantaneous power being less than or equal to the second power threshold.

[0007] In some embodiments, determining the time-period energy consumption and time-period carbon emissions corresponding to each state period based on the target energy consumption includes: integrating the target energy consumption corresponding to each state period or using the average target energy consumption corresponding to each state period and the duration of the state period to obtain the time-period energy consumption corresponding to each state period; and using the time-period energy consumption and the static electricity emission factor to obtain the time-period carbon emissions.

[0008] In some embodiments, after determining the time-period energy consumption and time-period carbon emissions corresponding to each state period based on the target energy consumption, the method further includes: summarizing and statistically analyzing the time-period energy consumption and time-period carbon emissions corresponding to each state period, and displaying the statistical results.

[0009] In some embodiments, the statistical results include the duration, energy consumption, carbon emissions, and carbon emission percentage for each state period.

[0010] In some embodiments, after determining the time-period energy consumption and time-period carbon emissions corresponding to each state period based on the target energy consumption, the method further includes: obtaining the product output of the target equipment in the operating state; and obtaining the unit product carbon emissions based on the time-period carbon emissions and product output in the operating state.

[0011] In some embodiments, after determining the time period energy consumption and time period carbon emissions corresponding to each state period based on the target energy consumption, the method further includes: obtaining the time period carbon emission ratio corresponding to the standby state; and pushing energy-saving suggestions in response to the time period carbon emission ratio being greater than the ratio threshold.

[0012] In a second aspect, this application provides a carbon emission segmentation statistics device, which includes a processor and a memory coupled to the processor; wherein the memory is used to store a computer program, and the processor is used to execute the computer program to implement the method provided in the first aspect.

[0013] Thirdly, this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the method provided in the first aspect.

[0014] The beneficial effects of this application are as follows: Unlike the prior art, the carbon emission segmentation statistics method, device, and computer-readable storage medium provided in this application obtain the target energy consumption and status of the target equipment; wherein, the status includes operating status, standby status, and shutdown status; the status is divided into time periods according to the time points of status changes; the time period energy consumption and time period carbon emission corresponding to each status period are determined according to the target energy consumption, which can accurately break down the carbon emission of the equipment into different status periods such as operating, standby, and shutdown, quantify the carbon emission ratio of each status, and identify energy waste in non-production status. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. Wherein: Figure 1This is a flowchart illustrating an embodiment of the carbon emission segmentation statistics method provided in this application; Figure 2 This is a summary statistical diagram of the carbon emission segmentation statistical method provided in this application; Figure 3 This is a flowchart illustrating another embodiment of the carbon emission segmentation statistics method provided in this application; Figure 4 This is a flowchart illustrating another embodiment of the carbon emission segmentation statistics method provided in this application; Figure 5 This is a schematic diagram of the structure of an embodiment of the carbon emission segmentation and statistics device provided in this application; Figure 6 This is a schematic diagram of an embodiment of the computer-readable storage medium provided in this application. Detailed Implementation

[0016] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. It is understood that the specific embodiments described herein are only for explaining this application and not for limiting it. Furthermore, it should be noted that, for ease of description, only the parts related to this application are shown in the accompanying drawings, not all structures. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0017] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0018] Air compressors are devices used to compress gas volume, thereby increasing gas pressure and converting the mechanical energy of an electric motor into gas pressure energy to power other devices. In today's highly developed industrial world, air compressors are ubiquitous, finding wide applications in industries such as automation control, electronics, mining, agriculture, vehicles, food, and aviation.

[0019] In practical applications, the use of air compressor equipment often results in significant resource waste. Currently, the method relies on manual shutdown of air compressor equipment when low production capacity is not required. However, manual shutdown of air compressor equipment suffers from problems such as slow response time, frequent loading and unloading, excessive waste, high energy consumption, and high equipment maintenance rate.

[0020] Based on this, the carbon emission segmentation statistics method, apparatus, and computer-readable storage medium provided in this application obtain the target energy consumption and status of the target device; wherein, the status includes operating status, standby status, and shutdown status; the status is divided into time periods according to the time points of status changes; the time period energy consumption and time period carbon emission corresponding to each status period are determined according to the target energy consumption, which can accurately segment the carbon emission of the device according to different status periods such as operating, standby, and shutdown, quantify the carbon emission ratio of each status, and identify energy waste in non-production status. This solves at least one of the above-mentioned technical problems, as specifically described in any of the following embodiments.

[0021] See Figure 1 , Figure 1 This is a flowchart illustrating an embodiment of the carbon emission segmentation statistics method provided in this application. The method includes: Step 11: Obtain the target energy consumption and status of the target device; where the status includes running status, standby status and shutdown status.

[0022] In some embodiments, the instantaneous power or cumulative power consumption of the target device is collected using an electricity meter or current transformer as the target energy consumption. In some embodiments, the instantaneous power or cumulative power consumption of the target device can be collected according to a preset cycle, such as a cycle of 1 minute, 2 minutes, or 3 minutes.

[0023] In some embodiments, the target device may be an electrical device used in industry for producing products.

[0024] In some embodiments, the status of the target device is collected using status sensors. In some embodiments, three states of the device are collected from the device PLC (Programmable Logic Controller) or by adding sensors: running state, standby state, and stopped state (power off state).

[0025] In some embodiments, instantaneous power is used to determine the state. In some embodiments, if the device cannot provide three states, power thresholds can be used to automatically classify them: power > P1 for running, P2 < power ≤ P1 for standby, and power ≤ P2 for shutdown.

[0026] In some embodiments, the target device is determined to be in an operating state in response to an instantaneous power greater than a first power threshold. The target device is determined to be in a standby state in response to an instantaneous power greater than a second power threshold and less than or equal to the first power threshold; the target device is determined to be in a stopped state in response to an instantaneous power less than or equal to the second power threshold.

[0027] Step 12: Divide the state into time periods according to the time points of state changes.

[0028] In some embodiments, the timeline can be used for segmentation. For example, a day (or a shift) can be divided into consecutive state periods based on the points in time when the state changes. For example: 08:00–10:30: Running; 10:30–10:45: Standby; 10:45–12:00: Running; 12:00–13:00: Shutdown (power supply continues, but power is extremely low).

[0029] Each state period has a clear start time, end time, duration, and state type.

[0030] Step 13: Determine the time period energy consumption and time period carbon emissions corresponding to each state period based on the target energy consumption.

[0031] In some embodiments, the target energy consumption corresponding to each state time period is integrated to obtain the time period energy consumption corresponding to each state time period.

[0032] For example, energy consumption per time period = ∫power dt.

[0033] In some embodiments, the time period energy consumption corresponding to each state period is obtained by using the average target energy consumption corresponding to each state period and the duration of the state period. For example, time period energy consumption = average target energy consumption × duration.

[0034] In some embodiments, time-period carbon emissions are obtained using time-period energy consumption and static electricity emission factors.

[0035] For example, carbon emissions per period = energy consumption per period × static electricity emission factor. The static electricity emission factor can be an officially published static electricity emission factor, such as 0.5306 kgCO2 / kWh.

[0036] In some embodiments, the sum of energy consumption over all time periods equals the device's total energy consumption for the day (allowing for minor integral errors, which can be corrected by normalization). Total carbon emissions equal the sum of carbon emissions over all time periods. The total emissions are not modified; only the emissions are broken down.

[0037] In this embodiment, the target energy consumption and status of the target device are obtained; wherein, the status includes operating status, standby status and shutdown status; the status time period is divided according to the time point of the status change; the time period energy consumption and time period carbon emission corresponding to each status time period are determined according to the target energy consumption, which can accurately break down the carbon emission of the device according to different status time periods such as operating, standby, and shutdown, quantify the carbon emission ratio of each status, and identify energy waste in non-production status.

[0038] In some embodiments, after determining the time-period energy consumption and time-period carbon emissions corresponding to each state period based on the target energy consumption, the time-period energy consumption and time-period carbon emissions corresponding to each state period are summarized and statistically analyzed, and the statistical results are displayed. The statistical results include the duration, energy consumption, carbon emissions, and carbon emission percentage of each state period, such as... Figure 2 As shown.

[0039] In some embodiments, after determining the time-period energy consumption and time-period carbon emissions corresponding to each state period based on the target energy consumption, refer to Figure 3 The method also includes: Step 31: Obtain the product output of the target device in operation.

[0040] In some embodiments, production work orders of the target equipment in operation can be obtained, and then the product output of the target equipment in operation can be obtained from the corresponding capacity system based on the work orders.

[0041] Step 32: Based on the carbon emissions and product output during the operating period, obtain the carbon emissions per unit product.

[0042] In this embodiment, carbon emissions during operation are allocated to product output in association with production work orders to obtain carbon emissions per unit product, thereby clarifying the carbon emissions of individual products and facilitating subsequent equipment management.

[0043] In some embodiments, after determining the time-period energy consumption and time-period carbon emissions corresponding to each state period based on the target energy consumption, refer to Figure 4 The method also includes: Step 41: Obtain the carbon emission percentage for the time period corresponding to the standby state.

[0044] In some embodiments, the carbon emission percentage corresponding to the standby state can be directly obtained from the statistical results described above.

[0045] Step 42: In response to the fact that the carbon emission ratio of a certain period is greater than the ratio threshold, energy-saving suggestions are pushed out.

[0046] In some embodiments, if the carbon emission ratio during the standby period is greater than the threshold, it indicates that the standby time is too long and energy is simply being consumed. Therefore, energy-saving suggestions can be pushed, such as shortening the standby time or turning it into a shutdown time.

[0047] In some embodiments, a standby carbon emission threshold alarm can be set, and if the standby time of a device exceeds 20% for a consecutive week, energy-saving suggestions can be pushed.

[0048] See Figure 5 , Figure 5This is a schematic diagram of an embodiment of the carbon emission segmentation and statistics device 50 provided in this application. The carbon emission segmentation and statistics device 50 includes a processor 51 and a memory 52 coupled to the processor 51. The memory 52 stores a computer program, and the processor 51 executes the computer program to implement the following method: Obtain the target energy consumption and status of the target device; the status includes operating status, standby status and shutdown status; divide the status into time periods according to the time points of status changes; determine the time period energy consumption and time period carbon emissions corresponding to each status time period based on the target energy consumption.

[0049] In some embodiments, the processor 51 is further configured to execute a computer program to implement the following methods: collecting the instantaneous power or cumulative power consumption of the target device as energy consumption using an electricity meter or current transformer; collecting the state of the target device using a state sensor, or determining the state using the instantaneous power.

[0050] In some embodiments, the processor 51 is further configured to execute a computer program to implement the following methods: determining the state of the target device as an operating state in response to an instantaneous power greater than a first power threshold; determining the state of the target device as a standby state in response to an instantaneous power greater than a second power threshold and less than or equal to the first power threshold; and determining the state of the target device as a shutdown state in response to an instantaneous power less than or equal to the second power threshold.

[0051] In some embodiments, the processor 51 is further configured to execute a computer program to implement the following methods: integrating the target energy consumption corresponding to each state period or using the average target energy consumption corresponding to each state period and the duration of the state period to obtain the period energy consumption corresponding to each state period; and using the period energy consumption and the static electricity emission factor to obtain the period carbon emissions.

[0052] In some embodiments, after determining the time-period energy consumption and time-period carbon emissions corresponding to each state period based on the target energy consumption, the processor 51 is further configured to execute a computer program to implement the following method: summarizing and statistically analyzing the time-period energy consumption and time-period carbon emissions corresponding to each state period, and displaying the statistical results.

[0053] In some embodiments, the statistical results include the duration, energy consumption, carbon emissions, and carbon emission percentage for each state period.

[0054] In some embodiments, after determining the time-period energy consumption and time-period carbon emissions corresponding to each state period based on the target energy consumption, the processor 51 is further configured to execute a computer program to implement the following method: obtaining the product output of the target device in the operating state; and obtaining the unit product carbon emissions based on the time-period carbon emissions and product output in the operating state.

[0055] In some embodiments, after determining the time period energy consumption and time period carbon emissions corresponding to each state period based on the target energy consumption, the processor 51 is further configured to execute a computer program to implement the following method: obtaining the time period carbon emission ratio corresponding to the standby state; and pushing energy-saving suggestions in response to the time period carbon emission ratio being greater than the ratio threshold.

[0056] It is understood that the processor 51 is also used to execute computer programs to implement the methods of any of the above embodiments.

[0057] See Figure 6 , Figure 6 This is a schematic diagram of an embodiment of the computer-readable storage medium provided in this application. The computer-readable storage medium 60 stores a computer program 61, which, when executed by a processor, implements the following method: Obtain the target energy consumption and status of the target device; the status includes operating status, standby status and shutdown status; divide the status into time periods according to the time points of status changes; determine the time period energy consumption and time period carbon emissions corresponding to each status time period based on the target energy consumption.

[0058] In some embodiments, when the computer program 61 is executed by the processor, it also implements the following methods: collecting the instantaneous power or cumulative power of the target device as energy consumption using an electricity meter or current transformer; collecting the state of the target device using a state sensor, or determining the state using the instantaneous power.

[0059] In some embodiments, when the computer program 61 is executed by the processor, it further implements the following methods: in response to an instantaneous power greater than a first power threshold, determining that the state of the target device is an operating state; in response to an instantaneous power greater than a second power threshold and less than or equal to the first power threshold, determining that the state of the target device is a standby state; and in response to an instantaneous power less than or equal to the second power threshold, determining that the state of the target device is a shutdown state.

[0060] In some embodiments, when the computer program 61 is executed by the processor, it also implements the following methods: integrating the target energy consumption corresponding to each state period or using the average target energy consumption corresponding to each state period and the duration of the state period to obtain the period energy consumption corresponding to each state period; and using the period energy consumption and the static electricity emission factor to obtain the period carbon emission.

[0061] In some embodiments, after determining the time-period energy consumption and time-period carbon emissions corresponding to each state period based on the target energy consumption, the computer program 61, when executed by the processor, also implements the following method: summarizing and statistically analyzing the time-period energy consumption and time-period carbon emissions corresponding to each state period, and displaying the statistical results.

[0062] In some embodiments, the statistical results include the duration, energy consumption, carbon emissions, and carbon emission percentage for each state period.

[0063] In some embodiments, after determining the time-period energy consumption and time-period carbon emissions corresponding to each state period based on the target energy consumption, the computer program 61, when executed by the processor, also implements the following method: obtaining the product output of the target device in the operating state; and obtaining the unit product carbon emissions based on the time-period carbon emissions and product output in the operating state.

[0064] In some embodiments, after determining the time period energy consumption and time period carbon emissions corresponding to each state period based on the target energy consumption, the computer program 61, when executed by the processor, also implements the following method: obtaining the time period carbon emission ratio corresponding to the standby state; and pushing energy-saving suggestions in response to the time period carbon emission ratio being greater than the ratio threshold.

[0065] It is understood that when computer program 61 is executed by a processor, it can also implement the methods of any of the above embodiments.

[0066] In summary, the carbon emission segmentation statistics method, apparatus, and computer-readable storage medium provided in this application obtain the target energy consumption and status of the target equipment. The status includes operating status, standby status, and shutdown status. The status is divided into time periods according to the time points of status changes. Based on the target energy consumption, the time period energy consumption and time period carbon emission corresponding to each status period are determined. This allows for the precise segmentation of the equipment's carbon emissions into different status periods such as operating, standby, and shutdown, quantifying the carbon emission proportion of each status, and identifying energy waste in non-production states.

[0067] Furthermore, this application precisely segments carbon emissions into three states: operation, standby, and shutdown, with minute-level traceability. This differs from existing technologies that divide production operating modes, accurately distinguishing between production and non-production carbon emissions.

[0068] Furthermore, this application uses the official static emission factor without modifying the total emissions or tampering with the data, which differs from the dynamic factor calculation of existing technologies and fully meets the requirements for compliance reporting.

[0069] Furthermore, this application has practical energy-saving functions, which can intuitively present the proportion of ineffective carbon emissions and quickly lock in energy-saving potential. Unlike existing technologies that only improve the accuracy of total emissions, this application can reduce ineffective carbon emissions by 5% to 15%.

[0070] In the several embodiments provided in this application, it should be understood that the disclosed methods and devices can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed.

[0071] If the integrated units in the other embodiments described above are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) or processor to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0072] The above description is merely an embodiment of this application and does not limit the patent scope of this application. Any equivalent structural or procedural transformations made using the content of this application's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of this application.

Claims

1. A method for segmented carbon emission statistics, characterized in that, The method includes: Obtain the target energy consumption and status of the target device; wherein, the status includes operating status, standby status, and shutdown status; Divide the state into time periods according to the time points of state changes described above; Based on the target energy consumption, the time period energy consumption and time period carbon emissions corresponding to each of the state periods are determined.

2. The method according to claim 1, characterized in that, The acquisition of the energy consumption and status of the target device includes: The instantaneous power or cumulative power consumption of the target device is collected using an electricity meter or current transformer as the target energy consumption; The state of the target device is acquired using a state sensor, or the state is determined using the instantaneous power.

3. The method according to claim 2, characterized in that, Determining the state using the instantaneous power includes: In response to the instantaneous power being greater than a first power threshold, the state of the target device is determined to be the operating state; In response to the instantaneous power being greater than a second power threshold and less than or equal to the first power threshold, the state of the target device is determined to be the standby state; In response to the instantaneous power being less than or equal to the second power threshold, the state of the target device is determined to be the shutdown state.

4. The method according to any one of claims 1-3, characterized in that, The step of determining the time-period energy consumption and time-period carbon emissions corresponding to each state period based on the target energy consumption includes: The energy consumption of each state period can be obtained by integrating the target energy consumption for each state period or by using the average target energy consumption for each state period and the duration of the state period. Carbon emissions for the specified time period are obtained using the energy consumption and static electricity emission factor for that time period.

5. The method according to any one of claims 1-3, characterized in that, After determining the time-period energy consumption and time-period carbon emissions corresponding to each state period based on the target energy consumption, the method further includes: The energy consumption and carbon emissions for each of the aforementioned states and time periods are summarized and statistically analyzed, and the results are displayed.

6. The method according to claim 5, characterized in that, The statistical results include the duration, energy consumption, carbon emissions, and carbon emission percentage for each of the aforementioned state periods.

7. The method according to any one of claims 1-3, characterized in that, After determining the time-period energy consumption and time-period carbon emissions corresponding to each state period based on the target energy consumption, the method further includes: Obtain the product output of the target equipment under the specified operating conditions; The carbon emission per unit product is obtained based on the carbon emissions during the specified time period and the product output under the specified operating conditions.

8. The method according to any one of claims 1-3, characterized in that, After determining the time-period energy consumption and time-period carbon emissions corresponding to each state period based on the target energy consumption, the method further includes: Obtain the carbon emission percentage for the time period corresponding to the standby state; If the carbon emission percentage for the specified period exceeds a threshold, energy-saving recommendations will be sent.

9. A carbon emission segmentation and statistics device, characterized in that, The carbon emission segmentation and statistics device includes a processor and a memory coupled to the processor; The memory is used to store a computer program, and the processor is used to execute the computer program to implement the method as described in any one of claims 1-8.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the method as described in any one of claims 1-8.

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