Comprehensive energy station AI intelligent management system

Abstract

The invention relates to the technical field of energy, and discloses a comprehensive energy station AI intelligent management system, which comprises an energy consumption data monitoring unit, the energy consumption data monitoring unit is electrically connected with a power supply module, and the energy consumption data monitoring unit is in communication connection with an acquisition layer module, a communication layer module and an application layer module. The application layer module is in communication connection with an abnormal automatic alarm unit and an operation interface end, and the operation interface end is in communication connection with an equipment intelligent control unit. Data are mined and analyzed through the application layer module, valuable information and insights such as energy consumption trend, abnormal modes and energy-saving potential are extracted, based on the analysis results, the application layer module can generate a series of rich reports, trend charts and data statistics, and the reports, the trend charts and the data statistics are presented on an operation interface end in a visual and understandable mode; therefore, the user can clearly master the dynamic state of the energy consumption and quickly recognize the problem, and the effect of improving the decision-making efficiency and accuracy is achieved.

Description

Technical Field

[0001] The present invention relates to the field of energy technology, and in particular to an AI intelligent management system for an integrated energy station. Background Art

[0002] The AI ​​intelligent management system of the integrated energy station integrates a variety of technical means to monitor, control and optimize the entire process of water, electricity, gas, heating and other energy from transportation, application to recovery. The system conducts data analysis, prediction, scheduling and control to ensure the efficient use and reasonable allocation of energy, aiming to improve energy utilization efficiency, reduce energy consumption costs, reduce environmental impact, and promote intelligent and refined energy management; In view of the energy consumption data generated by the integrated energy station in daily operation, we urgently need to deeply analyze its energy consumption trend, aiming to reduce energy consumption levels through precise strategies, so as to effectively curb unnecessary energy waste. This process is not only related to the efficient use of resources, but also an important measure to promote the development of energy stations in a green and sustainable direction. Through refined energy consumption management, we can ensure that every bit of energy can be reasonably allocated and utilized, and contribute to the construction of a more energy-saving and environmentally friendly energy utilization system. When the current integrated energy stations process energy consumption trend analysis tasks, the way the analysis results are presented fails to reflect the energy consumption dynamics intuitively and concisely, making it difficult for users to quickly capture key information, which in turn affects the speed of problem identification and the efficiency and accuracy of the decision-making process. Specifically, users often need to spend extra time and energy to interpret complex data reports in order to gradually piece together a complete picture of the energy consumption situation, which undoubtedly weakens the immediate response capability and overall effectiveness of energy management. Summary of the invention

[0003] The purpose of the present invention is to provide an integrated energy station AI intelligent management system to solve the problems raised in the above-mentioned background technology.

[0004] To achieve the above-mentioned objectives, the present invention provides the following technical solutions: an integrated energy station AI intelligent management system, comprising an energy consumption data monitoring unit, wherein the energy consumption data monitoring unit is electrically connected to a power supply module, wherein the energy consumption data monitoring unit is communicatively connected to an acquisition layer module, a communication layer module and an application layer module, wherein the application layer module is communicatively connected to an abnormal automatic alarm unit and an operation interface terminal, and wherein the operation interface terminal is communicatively connected to an equipment intelligent control unit.

[0005] Preferably, the acquisition layer module is composed of a wireless ultrasonic flow meter, an infrared meter reader via a network port, and a wireless current sensor; Wireless ultrasonic flow meter uses non-contact measurement technology to accurately capture fluid flow information; The network port infrared meter reader uses infrared communication technology to remotely read and transmit the readings of electricity meters and water meters, improving the efficiency and accuracy of data collection; Wireless current sensors focus on monitoring changes in current.

[0006] Preferably, after acquiring detailed consumption data of diversified energy sources such as electricity, water power and gas, the collection layer module will perform efficient data transmission through the communication layer module, which is the core hub. The communication layer module uses OPC server technology. OPC server technology not only simplifies the complex configuration in the data transmission process, but also ensures smooth transmission of data between multiple network environments.

[0007] Preferably, the application layer module is responsible for analyzing and presenting the data. It focuses on in-depth analysis and intelligent processing of electricity, water, and gas energy consumption data transmitted from the collection layer, and converts these complex energy consumption data into intuitive and easy-to-understand information, such as detailed reports, clear trend charts, and accurate data statistics, providing users with all-round and multi-dimensional energy consumption insights.

[0008] Preferably, the abnormal automatic alarm unit includes a data input layer module, the data input layer module is communicatively connected to the data processing layer module, the data processing layer module is communicatively connected to the alarm trigger layer module, the alarm trigger layer module is communicatively connected to the data classification search module, and the data classification search module is communicatively connected to the alarm notification layer module.

[0009] Preferably, the abnormal automatic alarm unit, as an important component of the system, undertakes the key task of conducting in-depth analysis of energy consumption data and setting early warning thresholds. The early warning threshold is represented by the symbol θ. The abnormal automatic alarm unit can intelligently set reasonable energy consumption early warning limits based on historical energy consumption patterns, industry standards or user-defined standards to ensure a rapid response when energy consumption is abnormal. After the energy consumption data is collected in real time and first sent to the data input layer module, this module serves as the starting point for data flow.

[0010] Preferably, the data processing layer module processes the energy consumption data input by the data input layer module. The data processing layer module also has the ability of intelligent monitoring and judgment. While processing the data, the data processing layer module will compare it with the preset energy consumption warning threshold in real time. Once it is found that one or some energy consumption data items exceed this threshold range, it indicates that there may be abnormal energy consumption or waste. At this time, the data processing layer module will respond quickly and send a signal to the alarm trigger layer module through the internal mechanism or interface.

[0011] Preferably, the data classification and search module performs in-depth analysis and classification of the data received by the alarm trigger layer module. The data classification and search module not only involves a detailed interpretation of the alarm data itself, but also includes an assessment of the possible reasons behind it, the scope of impact and the severity. Through intelligent data classification and search algorithms, the module can efficiently screen out key information and provide strong support for subsequent processing. After completing data classification and search, the module will transmit the sorted analysis results to the alarm notification layer module. The alarm notification layer module serves as a bridge for information transmission and is responsible for sending the alarm information to relevant personnel in a timely and accurate manner in a preset manner.

[0012] Preferably, the operation interface serves as an intuitive window for the user to interact with the system, and the energy consumption data that has been processed and identified as abnormal is clearly presented. The operation interface is not limited to simple numerical or graphical displays, but may also include comparative analysis of data, annotation of abnormal trends, and possible fault prompts, so that the user can fully and deeply understand the specific circumstances of the energy consumption abnormality.

[0013] Preferably, the intelligent control unit of the device includes an actuator, which can accurately adjust system parameters, fine-tune the operating speed of the device, or re-plan the workflow according to pre-set logic or control signals received in real time, with the aim of optimizing the performance of the entire system.

[0014] The present invention provides an AI intelligent management system for integrated energy stations. It has the following beneficial effects: (1) The present invention mines and analyzes data through the application layer module to extract valuable information and insights, such as energy consumption trends, abnormal patterns, energy saving potential, etc. Based on these analysis results, the application layer module will generate a series of rich reports, trend charts and data statistics, which are presented in an intuitive and easy-to-understand manner on the operation interface, allowing users to grasp the energy consumption dynamics at a glance and quickly identify problems, thereby achieving the effect of improving decision-making efficiency and accuracy.

[0015] (2) The present invention identifies potential energy consumption anomalies or waste through the data processing layer module. When the data processing layer module finds that the energy consumption data has indeed exceeded the warning threshold, the data processing layer module will send a clear alarm signal to the alarm trigger layer module. Subsequently, the alarm notification layer module, as the key hub of information transmission, undertakes the important task of accurately conveying the alarm information to relevant personnel. The immediate response ensures that the problem can be quickly discovered and handled, thereby achieving the effect of avoiding energy waste.

[0016] (2) The present invention can intelligently plan and reconstruct the overall workflow through the actuator module in the equipment intelligent control unit. According to the changing trend of energy consumption data and the actual needs of the system, each link in the workflow is dynamically adjusted to maximize energy utilization and maximize efficiency, thereby achieving the effect of promoting energy conservation and emission reduction and achieving sustainable development goals. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 This is a schematic diagram of the AI ​​intelligent management system for the integrated energy station of the present invention; Figure 2 This is a structural diagram of the energy consumption data monitoring unit of the present invention; Figure 3 This is a flow chart of the abnormal automatic alarm unit of the present invention. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and should not be construed as limiting the present invention.

[0020] A preferred embodiment of the AI ​​intelligent management system for integrated energy stations provided by the present invention is as follows: Figure 1-3 As shown: an integrated energy station AI intelligent management system, including an energy consumption data monitoring unit, the energy consumption data monitoring unit is electrically connected to a power supply module, the energy consumption data monitoring unit is communicatively connected to an acquisition layer module, a communication layer module and an application layer module, the application layer module is communicatively connected to an abnormal automatic alarm unit and an operation interface end, and the operation interface end is communicatively connected to an equipment intelligent control unit.

[0021] The acquisition layer module consists of a wireless ultrasonic flow meter, an infrared meter reader with an Ethernet port, and a wireless current sensor; Wireless ultrasonic flow meter uses non-contact measurement technology to accurately capture fluid flow information; The network port infrared meter reader uses infrared communication technology to remotely read and transmit the readings of electricity meters and water meters, improving the efficiency and accuracy of data collection; Wireless current sensors focus on monitoring changes in current.

[0022] After acquiring detailed consumption data of diversified energy sources such as electricity, water and gas, the collection layer module will carry out efficient data transmission through the communication layer module, which is the core hub. The communication layer module uses OPC server technology, which not only simplifies the complex configuration in the data transmission process, but also ensures the smooth transmission of data between multiple network environments.

[0023] The application layer module is responsible for analyzing and presenting the data. It focuses on in-depth analysis and intelligent processing of electricity, water, and gas energy consumption data transmitted from the collection layer, and converts these complex energy consumption data into intuitive and easy-to-understand information, such as detailed reports, clear trend charts, and accurate data statistics, providing users with all-round and multi-dimensional energy consumption insights.

[0024] The abnormal automatic alarm unit includes a data input layer module, the data input layer module is communicatively connected to the data processing layer module, the data processing layer module is communicatively connected to the alarm trigger layer module, the alarm trigger layer module is communicatively connected to the data classification search module, and the data classification search module is communicatively connected to the alarm notification layer module.

[0025] As an important part of the system, the abnormal automatic alarm unit undertakes the key task of in-depth analysis of energy consumption data and setting warning thresholds. The warning threshold is represented by the symbol θ. The abnormal automatic alarm unit can intelligently set reasonable energy consumption warning limits based on historical energy consumption patterns, industry standards or user-defined standards to ensure a rapid response when energy consumption is abnormal. After the energy consumption data is collected in real time and first sent to the data input layer module, this module serves as the starting point for data flow.

[0026] The data processing layer module processes the energy consumption data input by the data input layer module. The data processing layer module also has the ability of intelligent monitoring and judgment. While processing the data, the data processing layer module will compare it with the preset energy consumption warning threshold in real time. Once it is found that one or some energy consumption data items exceed this threshold range, it indicates that there may be abnormal energy consumption or waste. At this time, the data processing layer module will respond quickly and send a signal to the alarm trigger layer module through the internal mechanism or interface.

[0027] The data classification and search module conducts in-depth analysis and classification of the data received by the alarm trigger layer module. The data classification and search module not only involves a detailed interpretation of the alarm data itself, but also includes an assessment of the possible reasons, scope of impact and severity behind it. Through intelligent data classification and search algorithms, the module can efficiently screen out key information and provide strong support for subsequent processing. After completing data classification and search, the module will transmit the sorted analysis results to the alarm notification layer module. The alarm notification layer module serves as a bridge for information transmission and is responsible for sending the alarm information to relevant personnel in a timely and accurate manner in a preset manner.

[0028] The operation interface serves as an intuitive window for users to interact with the system. The energy consumption data that has been processed and identified as abnormal is clearly presented. The operation interface is not limited to simple numerical or graphical displays, but may also include comparative analysis of data, annotation of abnormal trends, and possible fault prompts, so that users can fully and deeply understand the specific circumstances of abnormal energy consumption.

[0029] The intelligent control unit of the equipment includes an actuator, which will accurately adjust the system parameters, fine-tune the equipment's operating speed, or re-plan the workflow according to pre-set logic or control signals received in real time. Its purpose is to optimize the performance of the entire system.

[0030] When in use, the collection layer module serves as the front-end feeler of the entire energy consumption management system. It widely deploys a variety of high-precision collection devices such as wireless ultrasonic flow meters, network port infrared meter readers, and wireless current sensors. These devices perform their respective duties and work together to fully cover the consumption data of various energy types such as electricity, water, and gas, and achieve non-omission and high-precision data collection. Once the energy consumption data is collected, the data will be quickly and stably transmitted to the application layer module through the communication layer module, which serves as a bridge for information transmission. The communication layer module uses advanced communication technology to ensure the real-time, accuracy, and security of data transmission, which provides a basis for subsequent data collection. In the application layer module, a powerful data processing and analysis engine begins to play a role. It first analyzes the received energy consumption data in depth, and uses complex algorithms and models to clean, integrate and transform the data to eliminate noise, fill missing values ​​and unify the data format. Then, the application layer module will further mine and analyze the data to extract valuable information and insights, such as energy consumption trends, abnormal patterns, energy-saving potential, etc. Based on these analysis results, the application layer module will generate a series of rich reports, trend charts and data statistics, and present them in an intuitive and easy-to-understand way on the operation interface. As an indispensable part of the energy consumption management system, the abnormal automatic alarm unit is closely connected with the data input layer module and the subsequent processing flow. The primary task of this unit is to receive a steady stream of energy consumption data from the data input layer module. These data are the cornerstone of system monitoring and analysis. Once the energy consumption data enters the abnormal automatic alarm unit, they are immediately passed to the data processing layer module for in-depth analysis. The data processing layer module, as the brain of intelligent analysis, uses complex algorithms and rules to conduct a meticulous review of the energy consumption data. In this process, the system will pay special attention to whether the energy consumption data exceeds the preset The energy consumption warning threshold is set based on historical data, industry standards, current business needs and other factors, and is designed to identify potential energy consumption anomalies or waste. When the data processing layer module finds that the energy consumption data has indeed exceeded the warning threshold, it will immediately enter a high alert state and respond quickly. Through the internal preset efficient mechanism or direct connection with the external interface, the data processing layer module will send a clear alarm signal to the alarm trigger layer module. Subsequently, the alarm notification layer module, as the key hub of information transmission, assumes the responsibility of accurately conveying the alarm information to relevant personnel; As the core executor of the energy management system, the equipment intelligent control unit integrates an advanced actuator mechanism. It can fine-tune and optimize various parameters in the system according to the real-time feedback of energy consumption data and pre-set logical strategies or instantly received control instructions. During the adjustment process, the equipment intelligent control unit not only focuses on the subtle regulation of the equipment's operating speed to ensure that the equipment runs in the most optimized state and reduces unnecessary energy loss; at the same time, it can also intelligently plan and reconstruct the overall workflow, and dynamically adjust each link in the workflow according to the changing trend of energy consumption data and the actual needs of the system, so as to maximize energy utilization and maximize efficiency.

[0031] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0032] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An integrated energy station AI intelligent management system, including an energy consumption data monitoring unit, Features: The energy consumption data monitoring unit is electrically connected to a power supply module, and is communicatively connected to an acquisition layer module, a communication layer module and an application layer module. The application layer module is communicatively connected to an abnormal automatic alarm unit and an operation interface end, and the operation interface end is communicatively connected to an equipment intelligent control unit.

2. According to claim 1, an integrated energy station AI intelligent management system, Features: The acquisition layer module is composed of a wireless ultrasonic flow meter, an infrared meter reader and a wireless current sensor; Wireless ultrasonic flow meter uses non-contact measurement technology to accurately capture fluid flow information; The network port infrared meter reader uses infrared communication technology to remotely read and transmit the readings of electricity meters and water meters, improving the efficiency and accuracy of data collection; Wireless current sensors focus on monitoring changes in current.

3. According to claim 1, an integrated energy station AI intelligent management system, Features: After obtaining detailed consumption data of diversified energy such as electricity, water power and gas, the collection layer module will perform efficient data transmission through the communication layer module, which is the core hub. The communication layer module uses OPC server technology, which not only simplifies the complex configuration in the data transmission process, but also ensures the smooth transmission of data between multiple network environments.

4. According to claim 1, an integrated energy station AI intelligent management system, Features: The application layer module is responsible for analyzing and presenting the data. It focuses on in-depth analysis and intelligent processing of electricity, water, and gas energy consumption data transmitted from the collection layer, and converts these complex energy consumption data into intuitive and easy-to-understand information, such as detailed reports, clear trend charts, and accurate data statistics, providing users with all-round and multi-dimensional energy consumption insights.

5. According to claim 1, an integrated energy station AI intelligent management system, Features: The abnormal automatic alarm unit includes a data input layer module, the data input layer module is communicatively connected to the data processing layer module, the data processing layer module is communicatively connected to the alarm trigger layer module, the alarm trigger layer module is communicatively connected to the data classification search module, and the data classification search module is communicatively connected to the alarm notification layer module.

6. According to claim 5, an integrated energy station AI intelligent management system, Features: As an important component of the system, the abnormal automatic alarm unit undertakes the key task of in-depth analysis of energy consumption data and setting warning thresholds. The warning threshold is represented by the symbol θ. The abnormal automatic alarm unit can intelligently set reasonable energy consumption warning limits based on historical energy consumption patterns, industry standards or user-defined standards to ensure a rapid response when energy consumption is abnormal. After the energy consumption data is collected in real time and first sent to the data input layer module, this module serves as the starting point for data flow.

7. According to claim 6, an integrated energy station AI intelligent management system, Features: The data processing layer module processes the energy consumption data input by the data input layer module. The data processing layer module also has the ability of intelligent monitoring and judgment. While processing the data, the data processing layer module will compare it with the preset energy consumption warning threshold in real time. Once it is found that one or some energy consumption data items exceed this threshold range, it indicates that there is abnormal energy consumption or waste. At this time, the data processing layer module will respond quickly and send a signal to the alarm trigger layer module through the internal mechanism or interface.

8. According to claim 7, an integrated energy station AI intelligent management system, Features: The data classification and search module conducts in-depth analysis and classification of the data received by the alarm trigger layer module. The data classification and search module not only involves a detailed interpretation of the alarm data itself, but also includes an assessment of the reasons behind it, the scope of impact and the severity. Through intelligent data classification and search algorithms, the module can efficiently screen out key information and provide strong support for subsequent processing. After completing data classification and search, the module will transmit the sorted analysis results to the alarm notification layer module. The alarm notification layer module serves as a bridge for information transmission and is responsible for sending the alarm information to relevant personnel in a preset manner in a timely and accurate manner.

9. According to claim 1, an integrated energy station AI intelligent management system, Features: The operation interface serves as an intuitive window for users to interact with the system. The energy consumption data that has been processed and identified as abnormal is clearly presented. The operation interface is not limited to simple numerical or graphical displays, but also includes data comparison and analysis, annotation of abnormal trends, and fault prompts, so that users can fully and deeply understand the specific circumstances of abnormal energy consumption.

10. The AI ​​intelligent management system for integrated energy stations according to claim 1, Features: The device intelligent control unit includes an actuator, which can accurately adjust system parameters, fine-tune the device operating speed, or re-plan the workflow according to pre-set logic or control signals received in real time.

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