Carbon footprint monitoring system with adjustable parameters

Abstract

A carbon footprint monitoring system with an adjustable algorithm includes a sensing device, an input device, a display device, and a computing device connected to the sensing device, the input device, and the display device. The sensing device senses multiple production consumptions of a production equipment to generate multiple process values. The input device inputs at least one process calculation parameter. The computing device receives the multiple process values ​​and the at least one process calculation parameter and establishes at least one process carbon footprint algorithm. The multiple process values ​​are then input into the at least one process carbon footprint algorithm to generate a process carbon footprint value corresponding to each process value. The display device receives and displays the process carbon footprint value, allowing users to understand the carbon emissions of the production equipment based on each process carbon footprint value.

Description

Technical Field

[0001] This invention relates to a monitoring system, and more particularly to a carbon footprint monitoring system that allows users to adjust the computational parameters in the algorithm according to their needs. Prior Technology

[0002] In recent years, news reports of abnormal weather around the world have been frequently heard, such as summer heat waves in Europe and the United States and extreme weather events like cold spells in the Middle East. The world is in a state of climate emergency. The main cause of climate change is that, over the years, with the increase in the world's population and the progress of technology, the amount of carbon emissions in human daily life has been gradually increasing. For example, according to the global carbon budget report of the 29th Conference of the Parties to the United Nations Framework Convention on Climate Change (COP29), global carbon emissions are estimated to reach 37.4 billion metric tons in 2024. The large amount of greenhouse gases has made the greenhouse effect increasingly serious, leading to the world's countries jointly facing the environmental problems caused by global warming.

[0003] In response, international agreements such as the Paris Agreement and the Kyoto Protocol have established relevant environmental protection policies, requiring countries worldwide to consider greenhouse gas emissions while pursuing economic development, with the aim of achieving carbon peaking and reaching carbon neutrality (i.e., net-zero carbon emissions) or even net-negative emissions within a specified timeframe. For example, carbon pricing is a common practice among countries worldwide to mitigate global warming, and it can be implemented primarily through two tools: Emissions Trading Systems (ETS) and Carbon Taxes. According to data from the Intergovernmental Panel on Climate Change (IPCC), to limit the global average temperature rise to well below 1.5°C by the end of this century (relative to the average temperature between the first industrial revolution and the present), the carbon price in 2030 should reach US$226-385 per ton of CO2 equivalent.

[0004] Therefore, for businesses around the world, carbon emissions will gradually increase their operating costs. As a result, companies are actively considering how to reduce carbon emissions in their production processes to both comply with environmental policies and save on carbon-related costs. Many small and medium-sized enterprises (SMEs) have started using carbon footprint management systems to understand the carbon emissions of their production equipment and thus the carbon footprint of the products produced. Existing carbon footprint management systems typically input production process data into a computing device (such as a computer), which calculates the carbon footprint of the product production process using built-in algorithms.

[0005] However, for enterprises, the built-in algorithms in this computing device cannot be filled with various production parameters of their production equipment, causing the carbon footprint values ​​calculated by the computing device to be inconsistent with the actual situation. For example, the built-in algorithms of this computing device include algorithms for calculating the carbon footprint value of consumed oil. In the production process of a piece of equipment, oil A (with a first oil-water ratio) and oil B (with a second oil-water ratio, and the second oil-water ratio is different from the first oil-water ratio) are used. Assuming that the carbon footprint value algorithm for consumed oil is established for the carbon footprint value of oil A, and the carbon footprint value algorithm for consumed oil can only input the amount of oil consumed, then because the oil-water ratios of oil A and oil B are different, the carbon footprint value of oil B calculated by the computing device through the carbon footprint value algorithm will be inaccurate. As a result, enterprises cannot accurately calculate the carbon emissions in the production process of the production equipment, and thus cannot effectively manage the carbon footprint of the products produced by the production equipment. Summary of the Invention

[0006] Existing carbon footprint management systems cannot allow users to adjust the calculation parameters of carbon footprint values ​​according to different production equipment, resulting in users being unable to accurately calculate the carbon emissions during the production process of the equipment, and thus unable to effectively manage the carbon footprint of the products produced by the equipment. In view of this, the present invention provides a carbon footprint monitoring system with an adjustable algorithm, comprising: A sensing device for sensing multiple production consumptions of a production equipment to generate multiple process values; An input device for inputting at least one process calculation parameter; A computing device electrically connected to the sensing device and the input device, the computing device storing an algorithm prototype, the computing device receiving the complex process values ​​and the at least one process calculation parameter, and establishing at least one process carbon footprint algorithm based on the algorithm prototype and the at least one process calculation parameter, and inputting the complex process values ​​into the at least one process carbon footprint algorithm to generate a process carbon footprint value corresponding to each process value; and A display device is electrically connected to the computing device, and the display device receives and displays the carbon footprint value of each process value.

[0007] The carbon footprint monitoring system of this invention, with its adjustable algorithm, can establish a carbon footprint algorithm for at least one process in the computing device according to the user's needs. This algorithm ensures that each process carbon footprint algorithm conforms to the characteristics of the multiple production consumptions during the production process of the production equipment. Compared to existing carbon inventory systems, this carbon footprint monitoring system can more accurately calculate the carbon footprint value corresponding to each process value. For example, different process carbon footprint algorithms can be established based on the oil-water ratio of different oils, allowing users to effectively manage the carbon emissions at each stage of the production process. Furthermore, through machine improvements and process modifications, the carbon emissions during the production process can be reduced, enabling the production equipment to simultaneously comply with environmental policies and save carbon-related costs when producing a product. Simple Explanation of the Diagram

[0008] Figure 1: Circuit block diagram of the carbon footprint monitoring system with adjustable parameter algorithm of the present invention. Figure 2: Circuit block diagram of the carbon footprint monitoring system with adjustable parameter algorithm of the present invention. Figure 3: Circuit block diagram of the carbon footprint monitoring system with adjustable parameter algorithm of the present invention. Implementation

[0009] To gain a detailed understanding of the technical features and practical effects of the present invention, and to enable its implementation according to the invention, the following detailed description is provided with reference to the embodiments shown in the figures:

[0010] Please refer to Figure 1. The carbon footprint monitoring system with adjustable algorithm of the present invention includes a sensing device 10, an input device 20, a computing device 30 and a display device 40, wherein the computing device 30 is electrically connected to the sensing device 10, the input device 20 and the display device 40 respectively.

[0011] The sensing device 10 is used to sense the multiple production consumption of a production equipment to generate multiple process values ​​S1. Specifically, the sensing device 10 includes multiple sensors, which are used to sense the multiple production consumption of the production equipment in a production process. For example, if the production equipment consumes a first liquid and a second liquid in the production process, then the sensing device 10 includes a first liquid sensor and a second liquid sensor. The first liquid sensor is used to sense the production consumption of the first liquid in the production process to generate a first process value, and the second liquid sensor is used to sense the production consumption of the second liquid in the production process to generate a second process value.

[0012] In other words, the multiple process values ​​correspond to at least one process value type. For example, if the first liquid is water and the second liquid is oil, then the first process value (water production consumption) corresponds to a first process value type (water), and the second process value (oil production consumption) corresponds to a second process value type (oil); or, if both the first liquid and the second liquid are water, then both the first process value (water production consumption) and the second process value (water production consumption) correspond to a process value type (water).

[0013] The input device 20 is used to input at least one process calculation parameter S2. For example, the input device 20 may be a keyboard and a mouse. The input device 20 inputs the at least one process calculation parameter S2 according to the user's operation. The at least one process calculation parameter S2 corresponds to the at least one process value type. As mentioned above, the production process of the production equipment includes the first process value type and the second process value type. Then, the at least one process calculation parameter S2 may be a complex process calculation parameter S2. The complex process calculation parameter S2 includes at least one first process calculation parameter and at least one second process calculation parameter. The at least one first process calculation parameter corresponds to the first process value type, and the at least one second process calculation parameter corresponds to the second process value type. That is, the complex process calculation parameters S2 are different from each other.

[0014] The computing device 30 stores an algorithm prototype. The computing device 30 receives the complex process value S1 and the at least one process calculation parameter S2, and establishes at least one process carbon footprint algorithm 31 as shown in FIG2 based on the algorithm prototype and the at least one process calculation parameter S2. For example, the computing device 30 may be a computer, a server, etc., and the present invention is not limited thereto.

[0015] The computing device 30 establishes corresponding information for at least one process value type corresponding to the multiple process values ​​S1. Specifically, when the sensing device 10 is installed on the production equipment, each sensor in the sensing device 10 will be connected to a different communication port of the computing device 30, so that the computing device 30 can determine the corresponding process value type based on the process value S1 of each sensor. For example, the multiple sensors include the aforementioned first liquid sensor and second liquid sensor. The first liquid sensor and the second liquid sensor are respectively connected to a first communication port and a second communication port of the computing device 30. As mentioned above, assuming that the first liquid sensor is used to sense the production consumption of water and the second liquid sensor is used to sense the production consumption of oil, the computing device 30 will establish two different process value types. Alternatively, assuming that both the first liquid sensor and the second liquid sensor are used to sense the production consumption of water, the computing device 30 will establish one process value type.

[0016] The computing device 30 then establishes at least one process carbon footprint algorithm 31, with the number of such algorithms equal to the number of process value types, based on the algorithm prototype and the at least one process calculation parameter S2. For example, assuming that the computing device 30 establishes two different process value types (water and oil), the computing device 30 establishes a first process carbon footprint algorithm prototype and a second process carbon footprint algorithm prototype based on the algorithm prototype and the number of process value types. The first process carbon footprint algorithm prototype and the second process carbon footprint algorithm prototype correspond to the two process value types, that is, the first process carbon footprint algorithm prototype corresponds to at least one first process calculation parameter, and the second process carbon footprint algorithm prototype corresponds to at least one second process calculation parameter.

[0017] The computing device 30 then substitutes the at least one first process calculation parameter into the first process carbon footprint algorithm prototype, and substitutes the at least one second process calculation parameter into the second process carbon footprint algorithm prototype, to establish a first process carbon footprint algorithm and a second process carbon footprint algorithm respectively. That is, the first process carbon footprint algorithm corresponds to the first process value (water production consumption) and includes the at least one first process calculation parameter, and the second process carbon footprint algorithm corresponds to the second process value (oil production consumption) and includes the at least one second process calculation parameter.

[0018] For example, the first process carbon footprint calculation algorithm can be: water process carbon footprint value = water production consumption × water emission coefficient; the second process carbon footprint calculation algorithm can be: oil process carbon footprint value = oil production consumption × oil-water ratio × oil density × oil emission coefficient, where the oil-water ratio can be 0.05, the oil density can be 0.85, and these values ​​vary depending on the type of oil, which is not limited to this invention; or the first process carbon footprint calculation algorithm and the second process carbon footprint calculation algorithm can be used to calculate the carbon footprint corresponding to the production consumption of different air compressors, then the first process carbon footprint calculation algorithm is: first gas process carbon footprint value = first gas production consumption × first flow rate power conversion coefficient × power emission coefficient; the second process carbon footprint calculation algorithm is: second gas process carbon footprint value = second gas production consumption × second flow rate power conversion coefficient × power emission coefficient. Since the complex process carbon footprint algorithms 31 are different from each other, each complex process carbon footprint algorithm 31 contains different process calculation parameters. That is, the at least one first process calculation parameter is different from the at least one second process calculation parameter. For example, the first flow-to-power conversion coefficient and the second flow-to-power conversion coefficient are different from each other.

[0019] The computing device 30 inputs the complex process value S1 into the at least one process carbon footprint algorithm 31 to generate a process carbon footprint value S3 corresponding to each process value S1. For example, the computing device 30 establishes the first process carbon footprint algorithm and the second process carbon footprint algorithm, and the first communication port receives the first process value (water production consumption), and the second communication port receives the second process value (oil production consumption). The computing device 30 is preset to input the information received by the first communication port and the information received by the second communication port into the first process carbon footprint algorithm and the second process carbon footprint algorithm, respectively. The algorithm involves inputting the first process value (water production consumption) into the first process carbon footprint algorithm and inputting the second process value (oil production consumption) into the second process carbon footprint algorithm to calculate the process carbon footprint value S3 corresponding to the first process value and the second process value, respectively. The display device 40 receives and displays the process carbon footprint value S3 corresponding to each process value S1, so that the user can view the process carbon footprint value S3 corresponding to each process value S1. For example, the computing device 30 is a computer, and the display device 40 can be a liquid crystal display (LCD) connected to the computer.

[0020] Please refer to Figure 3. In one embodiment of the present invention, the input device 20 is used to input a complex non-process value S4 and at least one non-process calculation parameter S5. For example, the complex non-process value S4 may be the consumption of public electricity in the production equipment area, the consumption of refrigerant leakage, the consumption of gasoline (diesel) in the official vehicles transporting raw materials, etc. The difference between the complex process value S1 and the complex non-process value S4 is that the complex process value S1 refers to various consumptions in the production equipment 11, while the complex non-process value S4 refers to various consumptions generated outside the production equipment 11 during the production process.

[0021] The computing device 30 receives the complex non-process values ​​S4 and the at least one non-process calculation parameter S5, and establishes at least one non-process carbon footprint algorithm based on the algorithm prototype and the at least one non-process calculation parameter. The computing device 30 establishes the at least one non-process carbon footprint algorithm in the same way as it establishes the at least one process carbon footprint algorithm 31, which will not be repeated here. The complex non-process values ​​S4 also correspond to at least one non-process value type, and the number of at least one non-process carbon footprint algorithms is the same as the number of at least one non-process value types.

[0022] The computing device 30 inputs the complex non-process values ​​S4 into the at least one non-process carbon footprint algorithm to generate a non-process carbon footprint value S6 corresponding to each non-process value S4. For example, the at least one non-process carbon footprint algorithm is a complex non-process carbon footprint algorithm, and the complex non-process carbon footprint algorithms are different from each other. The at least one non-process calculation parameter S5 is a complex non-process calculation parameter S5, and the complex non-process calculation parameters S5 are different from each other. Moreover, the complex non-process carbon footprint algorithms each contain different non-process calculation parameters S5. The computing device 30 inputs the complex non-process values ​​S4 into the complex non-process carbon footprint algorithm to generate multiple different non-process carbon footprint values ​​S6.

[0023] The display device 40 receives and displays the non-process carbon footprint value S6 corresponding to each of the non-process values ​​S4. Preferably, the computing device 30 sums the process carbon footprint value S3 corresponding to each of the process values ​​S1 and the non-process carbon footprint value S6 corresponding to each of the non-process values ​​S4 to generate a total carbon footprint value S7 for the production equipment. The display device 40 further receives and displays the total carbon footprint value S7.

[0024] The carbon footprint monitoring system with adjustable parameters of this invention can establish at least one process carbon footprint algorithm 31 in the computing device 30 according to the user's needs, so that the at least one process carbon footprint algorithm 31 conforms to the characteristics of the multiple production consumption in the production process of the production equipment. Compared with the existing carbon inventory system, the carbon footprint monitoring system with adjustable parameters of this invention can more accurately calculate the process carbon footprint value S3 corresponding to each process value S1. For example, different process carbon footprint algorithms 31 can be established according to the oil-water ratio of different oils, so that users can effectively manage the carbon emissions of each link in the production process of the production equipment, and reduce the carbon emissions in the production process of the production equipment through machine improvement, process improvement and other methods. Thus, when the production equipment produces a product, it can simultaneously comply with environmental protection policies and save carbon-related monetary costs.

[0025] In summary, this description merely illustrates the implementation methods or embodiments of the technical means employed by the present invention to solve the problem, and is not intended to limit the scope of the present invention patent. That is, all changes and modifications that conform to the meaning of the text of the present invention patent application, or are equivalent to those made in accordance with the scope of the present invention patent, are covered by the scope of the present invention patent.

[0026] 10: Sensing Device 20: Input device 30: Computing device 31: Process Carbon Footprint Algorithm 40: Display device S1: Process Values S2: Process Calculation Parameters S3: Process Carbon Footprint Value S4: Non-process value S5: Non-process calculation parameters S6: Non-process carbon footprint value S7: Total Carbon Footprint Value

Claims

1. A carbon footprint monitoring system with an adjustable algorithm, comprising: a sensing device for sensing multiple production consumptions of a production equipment to generate multiple process values; an input device for inputting at least one process calculation parameter; a computing device electrically connected to the sensing device and the input device, the computing device storing an algorithm prototype, the computing device receiving the multiple process values ​​and the at least one process calculation parameter, and establishing at least one process carbon footprint algorithm based on the algorithm prototype and the at least one process calculation parameter, and the computing device inputting the multiple process values ​​into the at least one process carbon footprint algorithm to generate a process carbon footprint value corresponding to each process value; and a display device electrically connected to the computing device, the display device receiving and displaying the process carbon footprint value corresponding to each process value.

2. A carbon footprint monitoring system with a parameter-tunable algorithm as described in claim 1, wherein: The complex process value corresponds to at least one process value type, and the number of the at least one process carbon footprint algorithm is the same as the number of the at least one process value type.

3. A carbon footprint monitoring system with a parameter-tunable algorithm as described in claim 1, wherein: The at least one process carbon footprint algorithm is a complex process carbon footprint algorithm, and the complex process carbon footprint algorithms are different from each other. The at least one process calculation parameter is a complex process calculation parameter, and the complex process calculation parameters are different from each other. Moreover, the complex process carbon footprint algorithms each contain different process calculation parameters.

4. A carbon footprint monitoring system with a parameter-tunable algorithm as described in claim 1, wherein: The input device is further used to input complex non-process values ​​and at least one non-process calculation parameter; the computing device receives the complex non-process values ​​and the at least one non-process calculation parameter, and establishes at least one non-process carbon footprint algorithm based on the algorithm prototype and the at least one non-process calculation parameter. The computing device inputs the complex non-process values ​​into the at least one non-process carbon footprint algorithm to generate a non-process carbon footprint value corresponding to each non-process value.

5. A carbon footprint monitoring system with a parameter-tunable algorithm as described in claim 4, wherein: The complex non-process value corresponds to at least one non-process value type, and the number of the at least one non-process carbon footprint algorithm is the same as the number of the at least one non-process value type.

6. A carbon footprint monitoring system with a parameter-tunable algorithm as described in claim 4, wherein: The at least one non-process carbon footprint algorithm is a complex non-process carbon footprint algorithm, the complex non-process carbon footprint algorithms are different from each other, the at least one non-process calculation parameter is a complex non-process calculation parameter, the complex non-process calculation parameters are different from each other, and the complex non-process carbon footprint algorithms each contain different non-process calculation parameters.

7. A carbon footprint monitoring system with a parameter-tunable algorithm as described in claim 4, wherein: The computing device sums up the carbon footprint values ​​of each process value and the carbon footprint values ​​of each non-process value to generate a total carbon footprint value for the production equipment.

8. A carbon footprint monitoring system with a parameter-tunable algorithm as described in claim 7, wherein: The display device further receives and displays the non-process carbon footprint value and the total carbon footprint value corresponding to each of the non-process values.

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