A low-carbon energy consumption management system applied to a digital twin platform

Abstract

The application provides a low-carbon energy consumption management system applied to a digital twin park, comprising the following modules and functions: a real-time data acquisition module for acquiring real-time energy consumption data of each energy consumption device in the park; a digital twin model construction module for constructing a digital twin model of the park and synchronizing the real-time data with the model; an energy consumption analysis and optimization module for analyzing the energy consumption data through an intelligent algorithm and providing a low-carbon energy consumption optimization scheme; and a visual interface module for presenting the park energy consumption situation and optimization effect in an intuitive way. The system realizes low-carbon operation of the park by collecting and analyzing the energy consumption data of various devices in the park, generating corresponding low-carbon strategies, and effectively managing the energy consumption in the park.

Description

Technical Field

[0001] This invention relates to the fields of energy management and smart city technology, specifically a low-carbon energy consumption management system applied to a digital twin smart park. This system integrates technologies such as the Internet of Things, big data, and cloud computing. While achieving efficient management and optimization of park resources, it places particular emphasis on monitoring and controlling energy consumption, promoting the park's transformation towards low-carbon and green development. Background Technology

[0002] With a growing global awareness of environmental protection and sustainable development, low-carbon and energy-saving practices have become a crucial indicator for assessing urban development levels. This is especially true in industrial parks, where energy consumption is enormous. Achieving efficient energy use and reducing greenhouse gas emissions has become an urgent issue. Traditional energy management in industrial parks relies heavily on manual monitoring and adjustments, which is not only inefficient but also hinders refined management, easily leading to energy waste and environmental pollution.

[0003] To address these issues, related technologies are constantly evolving. Among them, digital twin technology, as an emerging technology, focuses on creating a virtual mapping of a real system. By integrating technologies such as the Internet of Things, big data, and cloud computing, it reflects the state and behavior of the physical system in real time. The application of digital twin technology in park management can provide accurate real-time monitoring and prediction, offering a scientific basis for energy management and optimization decisions.

[0004] Despite the enormous potential of digital twin technology in both theory and practice, its application in low-carbon energy management still faces challenges. For example, existing technologies lack an effective mechanism to combine digital twin models with real-time energy consumption data, failing to comprehensively reflect the energy consumption status of the industrial park. Furthermore, carbon emission monitoring is typically not integrated with energy management systems, making it difficult to implement carbon footprint reduction measures in tandem with energy optimization.

[0005] To address the shortcomings of existing technologies, this invention proposes a low-carbon energy consumption management system for digital twin smart parks. This system aims to comprehensively monitor and manage park energy consumption and carbon emissions by constructing a high-precision digital twin model and combining it with real-time data acquisition, intelligent analysis, prediction, and optimization algorithms, thereby achieving efficient energy use and low-carbon environmental protection goals. The implementation of this system can effectively overcome the deficiencies of existing technologies, improve the park's energy management level, and promote the park's sustainable development. Summary of the Invention

[0006] The purpose of this invention is to provide a low-carbon energy consumption management system for digital twin smart parks. This system collects and analyzes energy consumption data from various devices within the park in real time, generates corresponding low-carbon strategies, and effectively manages energy consumption within the park, thereby achieving low-carbon operation. To this end, this invention adopts the following technical solution: A low-carbon energy consumption management system for a digital twin smart park includes a data acquisition module, a data analysis module, a low-carbon strategy generation module, and an energy consumption management module. The data acquisition module includes sensors and data transmission devices to collect real-time energy consumption data from various devices within the park, including the usage of electricity, gas, and water, and transmits the collected data to the data analysis module. The data analysis module includes a data preprocessing unit, a data analysis unit, and a model training unit, used to preprocess, analyze, and train models on the collected energy consumption data to generate corresponding low-carbon strategies. The low-carbon strategy generation module includes a strategy generation unit and a strategy evaluation unit, used to generate low-carbon strategies based on the data analysis results and evaluate the effectiveness of the strategies. The energy consumption management module includes an energy consumption monitoring unit, an energy consumption control unit, and an energy consumption optimization unit, used to monitor, control, and optimize energy consumption within the park to achieve low-carbon operation of the park.

[0007] The low-carbon energy consumption management system of this invention employs digital twin technology to digitally model various equipment and facilities within the park, and connects the model with the actual equipment through Internet of Things (IoT) technology to achieve real-time monitoring and management of the park's energy consumption. Simultaneously, this invention also utilizes artificial intelligence technology to generate corresponding low-carbon strategies through the analysis and processing of energy consumption data, thereby achieving low-carbon operation of the park.

[0008] In practical applications, the low-carbon energy management system of this invention can be integrated with other systems within the park, such as intelligent lighting systems and intelligent air conditioning systems, to achieve intelligent management of the park. Simultaneously, this invention can also connect with external energy supply systems to achieve energy optimization and management within the park.

[0009] The low-carbon energy consumption management system of the present invention has the following advantages: (1) It realizes real-time monitoring and management of park energy consumption, and improves the scientificity and accuracy of energy consumption management; (2) By generating corresponding low-carbon strategies, it realizes low-carbon operation of the park and reduces the carbon emissions of the park; (3) It adopts digital twin technology and artificial intelligence technology, which improves the intelligence level and operating efficiency of the system; (4) It can be integrated with other systems in the park to realize intelligent management of the park; (5) It can be connected with external energy supply systems to realize energy optimization and management of the park. Attached Figure Description

[0010] Figure 1 This is a schematic diagram of the low-carbon energy consumption functional module of the digital twin platform. Figure 2 This is a schematic diagram of the low-carbon energy consumption interface of the digital twin platform. Figure 3 This is a schematic diagram of the alarm interface in a digital twin platform. Detailed Implementation

[0011] The specific embodiments of the present invention will be described in further detail below with reference to the accompanying drawings and examples. The following examples are for illustrative purposes only and are not intended to limit the scope of the invention.

[0012] like Figure 1 As shown, the application of this invention and the low-carbon energy consumption module of the digital twin platform have the following functions: The data acquisition module is the foundation of the entire system, responsible for collecting real-time energy consumption data from various devices within the park. The data acquisition module includes sensors and data transmission devices. Sensors collect energy consumption data from various devices within the park, such as the usage of electricity, gas, and water. The data transmission devices transmit the collected data to the data analysis module.

[0013] Various types of sensors can be used, such as power sensors, gas sensors, and water flow sensors. The installation location of the sensors can be selected according to the actual situation, for example, they can be installed in power distribution cabinets, gas meters, water meters, etc. Data transmission devices can use wired or wireless methods for data transmission, such as Ethernet, WiFi, Bluetooth, and other communication protocols.

[0014] To ensure the accuracy and reliability of data acquisition, the data acquisition module can also include data verification and data filtering functions. Data verification is used to check whether the acquired data meets the expected range, and data filtering is used to remove abnormal and interfering data.

[0015] The data analysis module is the core of the entire system. It is responsible for analyzing and processing the collected energy consumption data to generate corresponding low-carbon strategies. The data analysis module includes a data preprocessing unit, a data analysis unit, and a model training unit.

[0016] The data preprocessing unit cleans, transforms, and standardizes the collected data for subsequent data analysis and model training. The data analysis unit analyzes the preprocessed data to extract useful information and features. The model training unit trains a low-carbon strategy model based on the data analysis results, enabling the generation of subsequent low-carbon strategies.

[0017] The data analysis module can employ various data analysis techniques, such as statistical analysis, machine learning, and deep learning. Among these, machine learning and deep learning techniques can be used to build energy consumption prediction models and low-carbon strategy models, so as to generate corresponding low-carbon strategies based on the actual situation of the park.

[0018] The low-carbon strategy generation module is the key component of the entire system. It is responsible for generating corresponding low-carbon strategies based on the data analysis results. The low-carbon strategy generation module includes a strategy generation unit and a strategy evaluation unit.

[0019] The strategy generation unit is used to generate corresponding low-carbon strategies based on data analysis results and low-carbon strategy models. Low-carbon strategies may include equipment energy-saving strategies, energy optimization strategies, and energy substitution strategies. The strategy evaluation unit is used to evaluate the generated low-carbon strategies; evaluation indicators may include the strategy's energy-saving effect, cost-effectiveness, and feasibility.

[0020] The low-carbon strategy generation module can employ various strategy generation methods, such as rule-based methods, model-based methods, and optimization-based methods. Among them, the model-based method can construct corresponding models based on the actual situation of the park, such as equipment operation models and energy consumption models, and then generate corresponding low-carbon strategies based on the models.

[0021] The energy management module is the executor of the entire system, responsible for managing energy consumption within the park according to the low-carbon strategy. The energy management module includes an energy monitoring unit, an energy control unit, and an energy optimization unit.

[0022] The energy consumption monitoring unit is used to monitor the energy consumption of various equipment within the park in real time, so as to promptly detect any abnormal energy consumption. The energy consumption control unit is used to control energy consumption within the park according to low-carbon strategies, such as controlling equipment operating time and operating status. The energy consumption optimization unit is used to optimize energy consumption within the park according to low-carbon strategies, such as optimizing equipment operating parameters and adjusting energy supply.

[0023] The energy management module can employ various control methods, such as manual control, automatic control, and remote control. Automatic control can automatically adjust equipment operating parameters based on low-carbon strategies to optimize energy consumption. Remote control can utilize communication technologies such as the internet to remotely control equipment within the park, improving the efficiency and flexibility of energy management.

[0024] The energy flow module, using digital twin technology, transforms the physical structures of an energy system, such as equipment, pipes, and cables, into digital models and displays the energy flow process within the system in animated form. Users can intuitively see the entire process of energy from its input source through each stage to its final output, helping them better understand the operating principles of the energy system. The module can simulate the operation of the energy system based on user-input parameters and conditions. Users can adjust these parameters and conditions to observe changes in the energy system's operation, thereby optimizing its efficiency. The animation module can display the energy system's operation from different angles and dimensions, such as 2D, 3D views, and cross-sectional views. Users can choose different display methods according to their needs to better understand the structure and operating principles of the energy system.

[0025] To achieve system integration and collaborative operation, the low-carbon energy management system can also be integrated with other systems within the park, such as intelligent lighting systems, intelligent air conditioning systems, and intelligent security systems. Through system integration, various devices within the park can work collaboratively, improving the overall operational efficiency and energy management level of the park.

[0026] System evaluation and optimization are necessary to continuously improve the performance and effectiveness of the low-carbon energy management system. System evaluation can employ various methods, such as energy consumption monitoring, equipment operating status monitoring, and user feedback. Through system evaluation, problems and deficiencies can be identified in a timely manner, allowing for optimization and improvement.

[0027] System optimization can employ various methods, such as algorithm optimization, model optimization, and equipment optimization. Through system optimization, system performance and efficiency can be improved, while energy consumption and costs can be reduced.

[0028] In examples of invention, such as Figure 2 As shown, the park has adopted a low-carbon energy management system based on digital twin technology to achieve low-carbon development. This system includes modules for energy consumption statistics, carbon reduction achievements, annual carbon emissions overview, and energy flow.

[0029] The energy consumption statistics module performs statistical analysis of water and electricity consumption across different time dimensions (day, month, year) and regional dimensions (different buildings), generating visual charts. Through year-on-year analysis, the park identified some areas and time periods with abnormally high energy consumption. Corresponding energy-saving measures were then implemented, such as adjusting equipment operating times and optimizing equipment operating power, resulting in significant energy savings.

[0030] The carbon reduction achievement module tracks the power generation of photovoltaic and wind power equipment within the park and converts it into carbon emissions. The park found that by using clean energy, it has cumulatively reduced carbon emissions significantly, making a major contribution to the park's low-carbon development.

[0031] The annual carbon emissions overview module includes carbon quotas and carbon emissions modules. The park has effectively controlled its total carbon emissions by rationally allocating carbon quotas. Simultaneously, through real-time monitoring of carbon emissions, it promptly identified equipment and processes with abnormally high carbon emissions and implemented corresponding emission reduction measures.

[0032] like Figure 3 As shown, the energy flow module displays a 3D animation of the energy flow of water, electricity, and gas. Through this module, the park gained a direct understanding of the flow of energy such as water, electricity, and gas within the park, identified some areas of energy waste, and implemented corresponding energy-saving measures, such as optimizing pipeline layout and replacing energy-saving equipment, thereby further improving energy utilization efficiency.

[0033] By using a low-carbon energy management system based on digital twin technology, the industrial park has achieved comprehensive management and monitoring of energy consumption and carbon emissions, improving the efficiency and accuracy of energy management and providing strong support for the park's low-carbon development.

Claims

1. A low-carbon energy consumption management system for digital twin parks, characterized in that, Includes the following modules and functions: The real-time data acquisition module is used to acquire real-time energy consumption data of various energy-consuming devices in the park; The digital twin model building module is used to build a digital twin model of the park and synchronize real-time data with the model; The energy consumption analysis and optimization module analyzes energy consumption data through intelligent algorithms and provides low-carbon energy consumption optimization solutions. The visualization interface module is used to present the park's energy consumption and optimization results in an intuitive way.

2. The low-carbon energy consumption management system according to claim 1, characterized in that, It can organically combine digital twin technology with low-carbon energy management, thereby improving the accuracy and efficiency of energy management in the park.

3. The low-carbon energy management system according to claim 1, characterized in that, It can enable refined management and low-carbon energy consumption optimization of various energy-consuming equipment in the park.

4. The low-carbon energy consumption management system according to any one of claims 1 to 3 has the advantage of enabling the innovative application of digital twin technology in the field of low-carbon energy consumption management in industrial parks, thus contributing to energy conservation and environmental protection in industrial parks.

Images