Greenhouse gas inventory systems and electricity usage data collecting platform

Abstract

This disclosure relates to a greenhouse gas monitoring system, comprising a management module, an image processing module, a data collection module, and a usage calculation module. The management module is communicatively connected to the image processing module, the data collection module, and the usage calculation module. The usage calculation module is further communicatively connected to the image processing module and the data collection module. Based on these components, the system automatically performs image recognition and data extraction according to a plurality of user-defined items, and calculates the usage of greenhouse gas emission sources. This disclosure also provides an electricity data collection and management platform.

Description

Technical Field

[0001] This disclosure relates to an organized greenhouse gas inventory system. Specifically, this disclosure relates to a system that automatically collects data based on user settings and performs calculations and analyses to manage the total amount of greenhouse gas emission source usage activity data. Prior Technology

[0002] Every business incurs basic operating costs during its normal operations, including expenses for personnel, leasing, marketing, taxes, energy use, information technology, manufacturing, insurance, administration, research and development, and various audits. Among these, greenhouse gas audits are closely related to all operating activities, resulting in a complex data collection process that often consumes a significant amount of time and manpower for data collection and analysis, indirectly increasing the company's personnel costs.

[0003] For example, the energy costs incurred by a company's operations are the sum of the energy consumed by the operational activities of each department. Therefore, the process for collecting greenhouse gas emission data related to energy use generally involves each department uploading images of energy usage documents or expense reports to the internal system. The personnel responsible for verification then identify the details and specific amounts recorded on the documents or expense reports and input them into the system. In addition, the verification personnel also need to collect paper documents, review them, and file them to ensure the accuracy of the data and facilitate subsequent verification.

[0004] In view of this, there is an urgent need in the field for a system that can automatically collect energy use-related cost tables, identify the relevant content and convert it into a computer-usable format, so as to improve the efficiency of enterprises in conducting greenhouse gas inventory and reduce the error rate caused by manual operation. Summary of the Invention

[0005] This summary is intended to provide a simplified overview of the present disclosure to enable the reader to gain a basic understanding of it. It is not a complete summary of the present disclosure and is not intended to identify key / critical elements of the embodiments of the invention or to define the scope of the invention.

[0006] The first aspect of this disclosure relates to a greenhouse gas inventory system, which communicates with a user terminal and an external data terminal to calculate the usage of greenhouse gas emission sources. According to one embodiment of this disclosure, the greenhouse gas inventory system includes a management module, an image processing module, a data collection module, and a usage calculation module. The management module communicates with the user terminal to define and store a plurality of items, calculation coefficients, and a plurality of formulas, and to receive a greenhouse gas emission source usage allocation table image from the user terminal, wherein the plurality of formulas are composed of a plurality of items and calculation coefficients; and the greenhouse gas emission source usage allocation table image has a first corresponding value for each of the plurality of items. The image processing module communicates with the management module to identify the first corresponding value of the greenhouse gas emission source usage allocation table image based on the plurality of items. The data collection module communicates with an external data terminal to perform information interception from the external data terminal based on the plurality of items to obtain a second corresponding value corresponding to the plurality of items. The usage calculation module is connected to the management module, the image processing module, and the data collection module to calculate the usage of greenhouse gas emission sources based on a plurality of formulas, a first corresponding value, and a second corresponding value.

[0007] According to one embodiment of this disclosure, the image processing module identifies a plurality of items and each of the first corresponding values ​​using optical character recognition technology.

[0008] According to another embodiment of this disclosure, the data collection module performs information interception using web crawler technology.

[0009] According to another embodiment of this disclosure, the data collection module is further used to generate image screenshots, wherein the image screenshots include a plurality of items and each of the second corresponding values. In one embodiment of this disclosure, the management module is further used to store greenhouse gas emission source usage allocation table images and image screenshots.

[0010] The second aspect of this disclosure relates to an electricity consumption data collection platform, which communicates with user terminals and external data terminals to calculate electricity expenses. According to one embodiment of this disclosure, the electricity consumption data collection platform includes a management module, an image processing module, a data collection module, and a consumption calculation module. The management module communicates with the user terminal to define and store a plurality of electricity cost items, calculation coefficients, and a plurality of electricity cost formulas, and to receive an image of an electricity usage allocation table from the user terminal. The plurality of electricity cost formulas are composed of a plurality of electricity cost items and calculation coefficients, and the electricity usage allocation table image has a first corresponding value for each of the plurality of electricity cost items. The image processing module communicates with the management module to identify the first corresponding value of the electricity usage allocation table image based on the plurality of electricity cost items. The data collection module communicates with an external data terminal to perform information interception based on the plurality of electricity cost items to obtain a second corresponding value corresponding to the plurality of electricity cost items. The usage calculation module is connected to the management module, the image processing module, and the data collection module to calculate electricity expenses based on a plurality of electricity cost formulas, a first corresponding value, and a second corresponding value.

[0011] According to a specific implementation of this disclosure, the plurality of electricity bill items are selected from a group consisting of peak electricity consumption, half-peak electricity consumption, Saturday half-peak electricity consumption, off-peak electricity consumption, mobile electricity bill, shared electricity bill, building information, floor information, unit information, and total amount payable before tax.

[0012] According to the optional implementation of this disclosure, the electricity data collection platform further includes a green energy management module, which is communicatively connected to both the management module and the usage calculation module to manage the trading volume of green energy. In the implementation of this disclosure, the green energy system is selected from the group consisting of solar energy, wind energy, hydropower, geothermal energy, biomass energy, tidal energy, wave energy, and ocean thermal energy conversion.

[0013] In one embodiment of this disclosure, the usage calculation module calculates electricity expenses based on a plurality of electricity bill formulas, a first corresponding value, a second corresponding value, and transaction volume.

[0014] After reading the following embodiments, those skilled in the art will easily understand the basic spirit and other inventive objectives of the present invention, as well as the technical means and implementation methods adopted by the present invention. Simple Explanation of the Diagram

[0015] To make the above and other objects, features, advantages and embodiments of the present invention more apparent and understandable, the accompanying drawings are described below.

[0016] Figure 1 is a schematic diagram of a greenhouse gas monitoring system 100 according to an embodiment of this disclosure;

[0017] Figure 2 is a schematic diagram illustrating the image processing module 120 performing image processing according to an embodiment of the present disclosure;

[0018] Figure 3 is a schematic diagram of an electricity data collection platform 300 according to an embodiment of this disclosure;

[0019] Figure 4 is a flowchart illustrating the process of collecting electricity consumption data using an electricity consumption data collection platform 300, according to an embodiment of this disclosure; and

[0020] Figure 5 is a schematic diagram of an electricity data collection platform 500 according to another embodiment of the present disclosure.

[0021] As is customary practice, the various features and elements in the drawings are not drawn to scale. The drawing method is intended to best represent the specific features and elements related to the present invention. Furthermore, similar elements / components are referred to by the same or similar element symbols across different drawings. Implementation

[0022] To make the description of this disclosure more detailed and complete, illustrative descriptions of embodiments and specific examples of the present invention are provided below; however, these are not the only forms of implementing or utilizing the specific examples of the present invention. The embodiments cover features of multiple specific examples and methods and steps for constructing and operating these specific examples, as well as their order. However, other specific examples may also be used to achieve the same or equivalent functions and order of steps.

[0023] I Definition

[0024] For convenience, specific proper nouns used in this specification, embodiments, and appended claims are concentrated herein. Unless otherwise defined in this specification, the scientific and technical terms used herein have the same meaning as understood and commonly used by one of ordinary skill in the art to which this invention pertains. Furthermore, unless the context otherwise requires, the singular form of a noun used herein includes its plural form, and vice versa. Specifically, in this specification and the claims, the singular form "a" (a and an) includes the plural reference value, unless otherwise indicated by the context. In addition, in this specification and the claims, the expressions "at least one" and "one or more" have the same meaning, both representing a total of one, two, three, or more.

[0025] In this disclosure, the term "user terminal" or "external data terminal" includes any computer device capable of communicating with at least one server, wherein the communication connection is not limited to wired or wireless network connections. According to one embodiment of the invention, the "user terminal" is the location where a user interacts with the system through a computer device or terminal, including at least one graphical display device and a graphical user interface (GUI), allowing the user to view and interact through applications, tools, services, or software within the GUI. According to another embodiment of the invention, the "external data terminal" is an external data source relative to the enterprise's internal system, which can be data from third-party data providers, publicly available data, and data from external partner companies. Here, the user of the user terminal is preferably a greenhouse gas monitoring personnel in various departments within the enterprise, and the external data terminal is preferably an energy company's website system. Furthermore, those skilled in the art should understand that the number of external data terminals can be one or more.

[0026] In this disclosure, "greenhouse gas" refers to gases that absorb and re-emit long-wave radiation (e.g., infrared radiation) from the Earth's surface, preventing radiation from escaping into the atmosphere and retaining heat in the atmosphere near the Earth's surface, thus causing an abnormal rise in global temperatures. Greenhouse gases include carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrofluorocarbons (HFCs), chlorofluorocarbons (CFCs), and hydrochlorofluorocarbons (HCFCs). The term "greenhouse gas emission sources" primarily refers to various human activities that release greenhouse gases. Generally, "greenhouse gas emission sources" include energy production and use (e.g., using coal, oil, and natural gas to generate electricity, domestic water use, etc.), waste disposal (e.g., solid waste landfills, sewage treatment plants), agriculture (e.g., rice paddy irrigation, chemical fertilizer use, and animal manure), industrial processes (e.g., chemical production, glass production, papermaking), and land use (e.g., deforestation, land conversion), but are not limited to these.

[0027] In this disclosure, the term "greenhouse gas emission source usage allocation table" refers to a table used within an organization to allocate greenhouse gas emission source usage to various units according to specific rules. For example, it is an electricity usage allocation table used to allocate electricity costs in a building to various units based on usable area, number of rooms, and / or number of tenants.

[0028] In this disclosure, the term "green energy" refers to energy generated using renewable resources. Green energy is renewable and sustainable, and it reduces the demand for fossil fuels (such as oil, coal, and natural gas), reduces greenhouse gas emissions, and thus mitigates global energy consumption and related environmental problems. Exemplary green energy includes, but is not limited to, solar, wind, hydro, geothermal, biomass, tidal, wave, and ocean thermal energy conversion. According to this disclosure, all power generation methods that reduce or approach zero carbon dioxide emissions, whose energy sources are derived from the ecological environment, are reusable, and balance environmental friendliness and economic development, fall within the scope of green energy as defined in this invention.

[0029] II. Detailed Implementation

[0030] To address the shortcomings of requiring significant manpower for greenhouse gas inventory checks and data collection within organizations, and to meet future demands for more detailed greenhouse gas inventory checks, this disclosure utilizes different modules for image recognition, automated data collection, and integrated calculations to replace traditional manual operations. This improves inventory efficiency and indirectly reduces operating costs.

[0031] 1. Greenhouse Gas Inventory System

[0032] This disclosure aims to provide a greenhouse gas inventory system that communicates with a user terminal and an external data terminal to calculate the usage of greenhouse gas emission sources. Figure 1 is a schematic diagram of a greenhouse gas inventory system 100 according to an embodiment of this disclosure. As shown in Figure 1, the greenhouse gas inventory system 100 includes a management module 110, an image processing module 120, a data collection module 130, and a usage calculation module 140. The management module 110 is communicatively connected to the image processing module 120, the data collection module 130, and the usage calculation module 140, respectively. The usage calculation module 140 is further communicatively connected to the image processing module 120 and the data collection module 130. Additionally, the management module 110 and the data collection module 130 are communicatively connected to a user terminal U and an external data terminal E, respectively, to obtain the data to be analyzed.

[0033] According to certain embodiments of this disclosure, the user terminal U includes a user and tangible items that provide services to the user through techniques known in the art. For example, the user terminal U may be a personal endpoint device containing a user interface (e.g., a webpage). In specific embodiments, the user transmits operation commands or uploads data through a personal endpoint device (e.g., a desktop computer, server computer, handheld or laptop device, smartphone, etc.) to manage and analyze the usage of greenhouse gas emission sources (e.g., electricity, water, gas, natural gas, etc.) using the greenhouse gas monitoring system 100. In an exemplary embodiment of this disclosure, the user terminal U includes a specialist (i.e., a user) within an enterprise responsible for monitoring the usage of greenhouse gas emission sources in each unit, who connects to the greenhouse gas monitoring system 100 through their personal endpoint device (i.e., a desktop computer) to perform emission source usage analysis. Therefore, the number of user terminals U may be one or more, and each user terminal U represents a unit within the enterprise.

[0034] According to the embodiments disclosed herein, users can generate the required greenhouse gas emission source usage allocation table image by taking screenshots, photographs, or scanning, and transmit it via a personal device to the greenhouse gas inventory system 100 for reception by the management module 110. Alternatively, the user terminal U may further include a scanner, or an electronic device with scanning capabilities, such as a printer, multifunction printer, etc., which can communicate with the greenhouse gas inventory system 100 to directly transmit the greenhouse gas emission source usage allocation table image to the management module 110. Furthermore, the management module 110 can also be used to store the greenhouse gas emission source usage allocation table image for subsequent use.

[0035] Furthermore, depending on the type of emission source being investigated or the contract details with external partners (e.g., energy companies, waste disposal companies, transportation companies, etc.), the calculation methods and detailed cost items differ. Therefore, users need to define multiple items, calculation coefficients, and multiple formulas in the management module 110 beforehand, based on the emission source type and contract details, to determine the usage calculation method for each emission source. These formulas are composed of all or some items from the multiple items and calculation coefficients. Those skilled in the art will understand that the aforementioned greenhouse gas emission source usage allocation table image needs to include multiple items and a first corresponding value for each item. According to the embodiments disclosed herein, the first corresponding value can be a number or text. For example, if the item is a unit of use, its first corresponding value is text; if the item is a floor, fee, business tax, or usable area, its first corresponding value is a number.

[0036] In actual use, after the user defines an item and / or coefficient, a corresponding functional element that can be moved arbitrarily on the user interface will be generated. Based on this, the user can define multiple formulas by dragging and dropping these functional elements.

[0037] Given that the content in images cannot be directly recognized and used by computers, the traditional method involves manually identifying the image content and manually inputting these items and their corresponding values ​​into the computer, which is not only time-consuming and labor-intensive but also prone to errors. In this disclosure, the image processing module 120 replaces manual labor, identifying and processing the greenhouse gas emission source usage allocation table image according to the user's settings, so that the data in the image can be used for subsequent usage calculations.

[0038] Please refer to Figure 2. The image processing module 120 performs the following procedures to convert data: preprocessing the greenhouse gas emission source image using the allocation table to generate an image to be identified (procedure S210); identifying characters in the image to be identified and generating a table (procedure S220); and verifying the table (procedure S230).

[0039] In program S210, the image processing module performs various image preprocessing procedures on the original image file of the greenhouse gas emission source allocation table, generating an image to be identified. The preprocessing procedures include, but are not limited to, noise removal, contrast adjustment, angle correction, brightness adjustment, and sharpening corrections, thereby improving image clarity and reducing potential identification errors. According to one embodiment of this disclosure, the image processing module may have a plurality of functional units internally configured to perform the aforementioned image preprocessing. For example, the image processing module can remove noise and improve image clarity by setting filters (e.g., median filters, Gaussian filters, or edge enhancement filters); it can adjust image contrast by setting a contrast adjustment unit that can perform specific operations on pixel values, local structure, and contrast values ​​of the image (e.g., histogram equalization, adaptive histogram equalization, contrast-limited adaptive histogram equalization, adaptive contrast enhancement algorithm, S-curve function adaptive contrast enhancement, or contrast stretching); it can correct image angles by setting an angle correction unit to perform feature matching calculations, perspective transformation, Hough transformation, marker alignment, and / or rotation and translation compensation; and / or it can set a brightness adjustment unit that can perform linear operations and correct brightness according to the local characteristics of the image. Those skilled in the art can select the functional units set in the image processing module according to actual usage requirements.

[0040] In program S220, the image processing module first performs character segmentation on the image to be identified in program S210, dividing the text in the image into individual character units. Then, it extracts features from each character to identify it. Finally, it converts the identified characters into data output that can be used by the computer module for subsequent calculations. Based on the different items recorded on the usage allocation tables for different greenhouse gas emission sources, the image processing module performs text detection on the pre-processed greenhouse gas emission source usage allocation table image (i.e., the image to be identified) according to a plurality of items set by the user (i.e., the user terminal). When a field name is detected to match a plurality of items, the value in that field (i.e., the first corresponding value) is further detected, and a table recording the plurality of items and their first corresponding values ​​is generated. The first corresponding value can be text or numbers. According to some embodiments of this disclosure, the image processing module uses optical character recognition technology to identify the plurality of items and the first corresponding value for each item.

[0041] Alternatively, the image processing module can analyze the layout of the image before character recognition. Therefore, users can reconstruct the layout as needed, outputting a file whose paragraphs, positions, and order are identical to those in the original image and can be used by the computer module for subsequent processing.

[0042] Finally, in program S230, the image processing module performs format and data verification on the table generated by program S220 and corrects errors to ensure the integrity and accuracy of the output data.

[0043] Please refer again to Figure 1. The greenhouse gas monitoring system 100 disclosed herein also includes a data collection module 130 to automatically capture data from an external data source E, thereby enhancing the efficiency of data collection and management. In this disclosure, the external data source E refers to an energy company's database or official website.

[0044] Specifically, the data collection module 130 is configured to periodically access an external data terminal E and search for data matching a plurality of user-defined items to obtain a second corresponding value for those items. According to an exemplary embodiment of this disclosure, the data collection module 130 uses web crawler technology to connect to the energy company's website and performs data extraction based on user-input keywords (i.e., a plurality of items). Web crawler technologies applicable to the data collection module 130 of this disclosure include, but are not limited to, Python, Beautiful Soup, Requests, Scrapy, Selenium, PyQuery, Lxml, MechanicalSoup, and Playwright. In one embodiment of this disclosure, the data collection module 130 uses Python to perform data collection.

[0045] According to the optional implementation of this disclosure, the data collection module 130 can also be used to take screenshots at an external data terminal E to generate image screenshots containing the plurality of items and their second corresponding values. Preferably, the image screenshots are transmitted via the data collection module 130 to the management module 110 for storage, so as to facilitate subsequent verification.

[0046] After completing the aforementioned data upload and collection process, the usage calculation module 140 calculates the usage of greenhouse gas emission sources by substituting the first corresponding value, the second corresponding value, and the calculation coefficient of each item into the multiple formulas set by the user.

[0047] 2. Electricity consumption data collection platform

[0048] This disclosure also provides an electricity data collection platform that automatically collects electricity bill-related data and calculates electricity costs. It communicates with user terminals and external data terminals to calculate electricity expenses.

[0049] Specifically, please refer to Figures 3 and 4 simultaneously. Figure 3 is a schematic diagram of an electricity data collection platform 300 according to another embodiment of this disclosure, and Figure 4 illustrates a flowchart of a user using the electricity data collection platform 300 to calculate electricity costs. As shown in Figure 3, the electricity data collection platform 300 includes a management module 310, an image processing module 320, a data collection module 330, and a usage calculation module 340. The management module 310 is communicatively connected to the image processing module 320, the data collection module 330, and the usage calculation module 340, respectively. The usage calculation module 340 is further communicatively connected to the image processing module 320 and the data collection module 330. Furthermore, the electricity data collection platform 300 connects to the user terminal U and the external data terminal E through the management module 310 and the data collection module 330, respectively, to achieve the purpose of automatically collecting data and calculating electricity expenditures.

[0050] The functions performed by the management module 310, image processing module 320, data collection module 330, and usage calculation module 340 within the electricity data collection platform 300 are largely the same as those performed by the management module 110, image processing module 120, data collection module 130, and usage calculation module 140 in the greenhouse gas inventory system 100 disclosed herein; the similarities will not be repeated here. The difference lies in that each component within the electricity data collection platform 300 can manage and calculate electricity usage, specifically including the following procedures: Program S410: The user defines multiple electricity bill items, calculation coefficients, and multiple electricity bill formulas in the management module 310 through the user terminal U device; Program S420: The user uploads an image of the power usage distribution table to the management module 310 via the user terminal U device; Program S430: Image processing module 320 identifies the energy usage allocation table image based on a plurality of electricity bill items to obtain the first corresponding value for these electricity bill items; Program S440: Data collection module 330 performs information interception based on a plurality of electricity bill items to obtain the second corresponding value for the plurality of electricity bill items; and Program S450: Usage calculation module 340 calculates electricity expenses based on multiple electricity bill formulas, a first corresponding value, and a second corresponding value.

[0051] In practice, the electricity bill calculation method can be adjusted according to different usage scenarios to suit the actual electricity consumption of different users. In program S410, users can input commands on the user interface through the user terminal U to define various electricity bill items in management module 310, and define calculation coefficients for calculating electricity bills based on contracts signed between the enterprise and external organizations (e.g., power companies or office building management committees), and further set the electricity bill formula; the electricity bill formula consists of multiple electricity bill items and calculation coefficients. The defined multiple items, calculation coefficients, and multiple formulas are stored in management module 310 for subsequent use.

[0052] According to one embodiment of this disclosure, the plurality of electricity bill items include, but are not limited to, peak electricity consumption, half-peak electricity consumption, Saturday half-peak electricity consumption, off-peak electricity consumption, mobile electricity charges, shared electricity charges, building information, floor information, unit information, and total amount payable before tax.

[0053] After completing the basic settings, the user uploads the energy consumption allocation table image to the management module 310 (program S420). The energy consumption allocation table image is used to record energy consumption information related to the common areas of the office building. Generally, the energy consumption allocation table will record building information (e.g., total building area, common area area, address, building name, total number of households), unit information (e.g., company name, number and / or household type), floor information, and other electricity cost items, as well as the corresponding field values ​​(i.e., the first corresponding value) for these electricity cost items.

[0054] In program S430, the image processing module 310 automatically performs pre-processing such as noise removal, sharpening, and contrast adjustment on the power usage allocation table image; then, it identifies the characters in the image and compares them with a plurality of electricity charge items defined in program S210. When a matching item is found, the column value of that item is further extracted to obtain the first corresponding value for those items.

[0055] On the other hand, in program S440, the data collection module 330 automatically extracts data from the external data terminal according to the set path (e.g., providing a list of known URLs) and frequency, and captures the fields and their values ​​that correspond to a plurality of electricity bill items to the electricity data collection platform, thereby obtaining the second corresponding value corresponding to these electricity bill items.

[0056] Finally, in program S450, the usage calculation module 340 substitutes the first corresponding value, the second corresponding value, and the calculation coefficient into the electricity cost formula stored in the management module 310, and calculates the electricity cost expenditure.

[0057] On the other hand, with the rise of environmental awareness, in order to comply with international carbon reduction trends and green energy-related regulations, and to enhance their corporate social image, companies are choosing to allocate a portion of their budget for green energy trading. According to an alternative implementation of this disclosure, the electricity data collection platform of this invention further includes a green energy management module for managing the volume of green energy transactions. The green energy includes, but is not limited to, solar energy, wind energy, hydropower, geothermal energy, biomass energy, tidal energy, wave energy, and ocean thermal energy conversion.

[0058] Please refer to Figure 5, which is a schematic diagram of an electricity data collection platform 500 according to an embodiment of this disclosure. As shown in the figure, the electricity data collection platform 500 includes a management module 510, an image processing module 520, a data collection module 530, and a usage calculation module 540. Its connection method and functions are largely the same as those of the previously mentioned electricity data collection platform 300, and will not be repeated here. However, the electricity data collection platform 500 further includes a green energy management module 550, which is communicatively connected to the management module 510 and the usage calculation module 540, respectively, to facilitate users in managing green energy transaction volumes. Therefore, in this specific embodiment of the disclosure, the usage calculation module 540 calculates electricity expenses based on a plurality of electricity billing formulas, a first corresponding value, a second corresponding value, and the green energy transaction volume.

[0059] In summary, this disclosure provides a greenhouse gas inventory system and an electricity data collection platform. By setting up different functional modules to automatically collect and integrate internal and external data (i.e., energy usage allocation tables and data from external data sources), the efficiency of greenhouse gas inventory is improved, and more accurate and comprehensive data on the use of greenhouse gas emission sources are provided.

[0060] It should be understood that the foregoing description of the embodiments is merely given by way of example, and various modifications can be made by those skilled in the art. The above specification, embodiments, and experimental results provide a complete description of the structure and use of exemplary embodiments of the present invention. Although various specific embodiments of the present invention are disclosed in the foregoing embodiments, they are not intended to limit the present invention. Those skilled in the art can make various modifications and alterations without departing from the principles and spirit of the present invention. Therefore, the scope of protection of the present invention shall be defined by the appended claims.

[0061] 100: Greenhouse Gas Inventory System 110, 310, 510: Management Module 120, 320, 520: Image processing modules 130, 330, 530: Data Collection Module 140, 340, 540: Usage Calculation Module 300, 500: Electricity consumption data collection platform 550: Green Energy Management Module S210-S230, S410-S450: Program E: External Data Terminal U: User terminal

Claims

1. A greenhouse gas inventory system, communicatively connected to a user terminal and an external data terminal, for calculating the usage of one greenhouse gas emission source, comprising: a management module, communicatively connected to the user terminal, for defining and storing a plurality of items, a calculation coefficient, and a plurality of formulas, and for receiving a greenhouse gas emission source usage allocation table image from the user terminal, wherein the plurality of formulas are composed of the plurality of items and the calculation coefficient; and the greenhouse gas emission source usage allocation table image has a first corresponding value corresponding to each of the plurality of items; an image processing module, communicatively connected to the management module, for processing according to... The user-defined plurality of items identify the first corresponding value of the greenhouse gas emission source usage allocation table image and generate a table recording the plurality of items and their first corresponding values; a data collection module, which is connected to the management module and the external data terminal, is used to automatically perform an information interception from the external data terminal based on the plurality of items to obtain a second corresponding value corresponding to each of the plurality of items; and a usage calculation module, which is connected to the management module, the image processing module and the data collection module, is used to calculate the usage of the greenhouse gas emission source based on the plurality of formulas, the first corresponding value and the second corresponding value.

2. The greenhouse gas monitoring system as described in claim 1, wherein the image processing module identifies the plurality of items and each of the first corresponding values ​​using optical character recognition technology.

3. The greenhouse gas monitoring system as described in claim 1, wherein the data collection module performs the information interception using web crawler technology.

4. The greenhouse gas monitoring system as described in claim 1, wherein the data collection module is further used to generate an image screenshot, wherein the image screenshot includes the plurality of items and each of the second corresponding values.

5. The greenhouse gas inventory system as described in claim 4, wherein the management module is further used to store the greenhouse gas emission source usage allocation table image and the image screenshot.

6. An electricity data collection platform, communicatively connected to a user terminal and an external data terminal, for calculating an electricity expense, comprising: a management module, communicatively connected to the user terminal, for defining and storing a plurality of electricity expense items, a calculation coefficient, and a plurality of electricity expense formulas, and for receiving an image of an electricity usage allocation table from the user terminal, wherein the plurality of electricity expense formulas are composed of the plurality of electricity expense items and the calculation coefficient; and the electricity usage allocation table image has a first corresponding value corresponding to each of the plurality of electricity expense items; and an image processing module. The system comprises: a management module, which communicates with the management module to identify the first corresponding value of the energy usage allocation table image based on the user-defined plurality of electricity bill items; a data collection module, which communicates with the external data terminal to automatically perform an information interception based on the plurality of electricity bill items to obtain a second corresponding value corresponding to the plurality of electricity bill items; and a usage calculation module, which communicates with the management module, the image processing module, and the data collection module to calculate the electricity expenditure based on the plurality of electricity bill formulas, the first corresponding value, and the second corresponding value.

7. The electricity data collection platform as described in claim 6, wherein the plurality of electricity bill items are selected from a group consisting of peak electricity consumption, half-peak electricity consumption, Saturday half-peak electricity consumption, off-peak electricity consumption, mobile electricity bill, shared electricity bill, building information, floor information, unit information, and total amount payable before tax.

8. The electricity data collection platform as described in claim 6 further includes a green energy management module, which is communicatively connected to the management module and the usage calculation module to manage a green energy transaction volume.

9. The electricity data collection platform as described in Request 8, wherein the green energy system is selected from a group consisting of solar energy, wind energy, hydropower, geothermal energy, biomass energy, tidal energy, wave energy, and ocean thermal energy conversion.

10. The electricity data collection platform as described in claim 8, wherein the usage calculation module calculates the electricity expenditure based on the plurality of electricity billing formulas, the first corresponding value, the second corresponding value, and the transaction volume.

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