Intelligent energy routing system based on artificial intelligence

Abstract

The invention relates to the technical field of energy management and distribution, and discloses an intelligent energy routing system based on artificial intelligence, and the system comprises a plurality of key modules: an energy collection module which collects multi-source energy of solar energy, wind energy, water energy, commercial power and the like, and an intelligent sensor is not afraid of wide temperature and high humidity, carries out the real-time monitoring, and transmits data quickly; the energy storage unit stores energy in a multi-element mode through a lithium battery, a super capacitor and the like, self-adaptive charging and discharging are achieved, and the service life is guaranteed; the central processing unit and the high-performance AI chip drive an intelligent algorithm; the intelligent route switching module is used for switching routes at a millisecond level, is adaptive to various electric conditions and can be used for self-diagnosis and self-healing; the communication module is compatible with multiple protocols, stable in communication and safe; and the user interaction and monitoring platform has touch control and voice functions, so that the operation of the user and an administrator is facilitated. The system has the advantages that energy is efficiently utilized, peak clipping and valley filling are achieved, power supply reliability is soaring, multi-element power utilization is intelligently adapted, and communication, operation and maintenance are convenient.

Description

Technical Field

[0001] The present invention relates to the technical field of energy management and distribution, and in particular to an intelligent energy routing system based on artificial intelligence. Background Art

[0002] With the rapid development of the global economy and the continuous improvement of people's living standards, the demand for energy has shown an explosive growth trend. The traditional energy supply system mainly relies on large-scale centralized power stations and fixed power grid architecture, facing many thorny problems. On the one hand, fossil energy is becoming increasingly exhausted and environmental pollution is becoming more serious. It has become an inevitable trend to promote the large-scale access of renewable energy to the power grid. However, renewable energy generation such as solar energy and wind energy is affected by weather and time periods, and the output power is extremely unstable. Large-scale grid connection can easily cause power quality problems such as grid voltage fluctuations and frequency deviations, impacting the stability of the grid; on the other hand, the electricity consumption scenarios in modern society are becoming more diversified and refined, from the complex process electricity consumption of large-scale industrial production to the dynamic electricity demand of various electrical appliances in smart home scenarios with the rhythm of life. The traditional rigid and one-way power supply mode of the power grid is difficult to adapt, resulting in power shortages during peak hours and frequent energy waste during low hours.

[0003] Furthermore, existing energy management systems are mostly based on fixed rules or simple automated programs. They lack the ability to deeply mine and analyze massive amounts of energy data and make accurate decisions in real time. They are unable to predict energy supply and demand imbalance nodes in advance, and are slow to respond to emergencies when energy failures or sudden changes in demand occur, making it difficult to ensure continuous power supply to critical loads. At the communication level, the communication protocols of different energy devices and power terminals are complex, and information exchange is not smooth, forming many "information islands" that hinder the overall coordinated optimization of the energy system. In this context, it is urgent to develop a new energy routing system that integrates advanced artificial intelligence technology and has intelligent perception, flexible scheduling, stable communication, and friendly interaction characteristics. Summary of the invention

[0004] In order to solve the above-mentioned problems, the present invention proposes an intelligent energy routing system based on artificial intelligence.

[0005] In order to solve the above technical problems, the technical solution proposed by the present invention is: an intelligent energy routing system based on artificial intelligence, comprising:

[0006] Energy harvesting module, used to harvest energy from a variety of energy sources, including renewable energy such as solar panel arrays, wind turbines, hydroelectric power generation devices and conventional grid access ports; equipped with intelligent sensor group, real-time monitoring of energy source output parameters, including power, voltage, current and energy quality, can work stably in a wide temperature, high humidity and harsh environment, and transmit raw energy data to the central processing unit at high speed;

[0007] The energy storage unit is composed of a variety of energy storage components, such as lithium-ion battery packs and supercapacitor modules, and has an adaptive charge and discharge management system. It can efficiently store and release energy according to the instructions of the central processing unit to ensure the life of the energy storage system;

[0008] The central processing unit integrates a high-performance artificial intelligence chip and runs an intelligent energy management algorithm that integrates deep learning and reinforcement learning. After massive data training and optimization, it can analyze complex data in real time, predict energy supply and demand, generate accurate scheduling strategies, and quickly calculate to ensure low-latency response;

[0009] Intelligent routing switching module builds a multi-level high-speed power electronic switch matrix, which can flexibly switch energy routes in a very short time according to instructions, adapt to various voltage and current types, and has electrical isolation, protection and fault diagnosis and self-healing functions;

[0010] Communication module supports a variety of wired and wireless communication protocols to ensure high-speed and stable communication within the system and with external devices, low data packet loss rate, intelligent frequency switching, and encrypted transmission to ensure security;

[0011] The user interaction and monitoring platform is equipped with a touch screen, voice interaction components and visualization software. Users can intuitively view energy flow and equipment status, and adjust parameters conveniently. Administrators can remotely monitor multiple system instances, quickly receive alarms and handle them.

[0012] Preferably, the artificial intelligence chip adopts a heterogeneous multi-core architecture, integrates GPU, TPU and dedicated acceleration core, supports parallel computing acceleration technology, and quickly loads and updates models.

[0013] Preferably, the intelligent sensor group of the energy collection module is redundantly designed, abnormal data is eliminated through a verification algorithm, and has a self-calibration function.

[0014] Preferably, the adaptive charge and discharge management system of the energy storage unit adopts a hybrid control strategy and comprehensive multi-factor modeling to extend the energy storage life and suppress battery abnormalities.

[0015] Preferably, the switch matrix of the intelligent routing switching module is made of wide bandgap semiconductor materials, with low on-resistance, low switching loss, high heat dissipation efficiency, and an insulating and flame-retardant shell.

[0016] Preferably, the communication module has a built-in intelligent channel evaluation and switching unit to monitor channel quality in real time and use distributed caching technology to ensure data integrity.

[0017] Preferably, the software of the user interaction and monitoring platform supports customized reports, mobile terminal adaptation, and real-time remote control of system status.

[0018] Compared with the prior art, the present invention has the following advantages:

[0019] Efficient energy utilization and peak-shaving: The system can monitor various energy conditions in all directions and accurately dispatch them. When renewable energy is abundant, it can give priority to using and storing surplus electricity, release it during peak power consumption, effectively balance supply and demand, increase the comprehensive energy utilization rate by more than 30%, reduce dependence on traditional energy, and help save energy and reduce emissions. In industrial scenarios, it can be deployed according to the production process to reduce idle energy consumption of equipment, improve production efficiency by about 20%, and reduce costs.

[0020] Power supply reliability has soared: With rapid fault diagnosis and self-healing capabilities, redundant design ensures that critical loads will not be shut down in the event of energy failure or grid fluctuations. The system's average failure interval has been extended by about 2 times, and the power outage duration has been reduced by more than 60%. It is suitable for medical, data center and other fields with stringent power supply requirements, reducing operational risks and losses.

[0021] Intelligent adaptation to diversified electricity consumption: Deep learning of user habits, smart home scenarios save energy by more than 35%, and automatically adjust according to life patterns; industrial production dynamically supplies energy according to the process to avoid energy waste and improve production capacity utilization. It can also be remotely controlled through mobile phone APP, which is convenient and intelligent.

[0022] Convenient communication and operation and maintenance: unified communication protocols break down information silos, enable smooth data interaction, remote monitoring to grasp system status in real time, fast troubleshooting and repair, and time consumption reduced to one-third of traditional methods. Remote upgrades and maintenance are possible, greatly reducing manpower and material costs, ensuring efficient and stable system operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 It is a principle flow chart of an intelligent energy routing system based on artificial intelligence of the present invention. DETAILED DESCRIPTION

[0024] The present invention is further described in detail below with reference to the accompanying drawings.

[0025] Example 1

[0026] Energy management application in industrial parks

[0027] In a comprehensive industrial park, this intelligent energy routing system shines as an energy hub. The energy collection module is like a keen energy scout. The distributed solar panels laid on the roof of the park in a large area sense the light intensity and angle changes in real time based on the light sensor. The micro-motor drives the bracket to accurately adjust the angle to ensure that the best lighting surface is always used to welcome the sun. The small wind turbines standing on the edge of the park, the wind speed and direction sensors are like weather vanes, sending data back every second to control the blade speed and windward angle to stabilize power generation. The two work together with the city power grid to access the system and continuously import electricity.

[0028] The production lines in the park are busy, and the power demand of various equipments varies greatly. The lighting system also changes with the working hours. The central processing unit is like an intelligent brain. It analyzes the production plan, worker schedule and past power consumption big data based on deep learning algorithms. When there is abundant sunlight during the day, solar energy and wind power are allocated to the core equipment of the production line first, and the surplus power flows into the lithium battery energy storage unit; when night falls, it takes advantage of the low electricity price period of the city electricity to intelligently switch to the city electricity to charge the energy storage equipment, so as to prepare enough energy for the next day's production.

[0029] The intelligent routing switching module is the "traffic commander" of energy. When a production line has an urgent order, the equipment starts at high power instantly. It precisely dispatches in milliseconds and extracts power from multiple energy channels in parallel to ensure the smooth operation of the equipment without any fluctuation in voltage and current. The communication module acts as an information bridge, seamlessly connecting the park's manufacturing execution system (MES) and the equipment's programmable logic controller (PLC), and sharing energy data in real time. Based on the remote monitoring interface, managers can flexibly optimize energy supply strategies according to order scheduling and equipment operating conditions. After several months of practice, the park's average monthly electricity bill has dropped by 20%, the losses caused by power outages have been completely reduced to zero, and the production rhythm is compact and orderly.

[0030] Example 2

[0031] Smart Building Energy Autonomy

[0032] In high-rise intelligent buildings in bustling cities, this system sits firmly at the core of the energy management center. The energy collection method is unique. The photovoltaic film laid on the exterior wall is not only the "skin" of the building, but also an electricity producer. Its light transmittance is intelligently adjusted according to the light intensity, indoor personnel distribution and electricity demand. It can increase power generation when the light is strong and take into account lighting when the light is weak. The elevators in the building take off and land frequently, and the potential energy generated by braking is efficiently captured by the energy recovery device, and every bit is gathered.

[0033] The residents' electricity usage habits are fully mastered through daily learning on the interactive platform. In the hot summer, when the peak of cooling electricity consumption comes, the energy storage unit quietly discharges to fill the power gap; in the cold winter, the low-voltage electricity at night drives the electric heating water storage tank, and the warm water is stored for heating during the day. The central processing unit is like a caring housekeeper. According to the real-time temperature and the status of the residents at home, it predicts the electricity consumption surge node, dispatches energy in advance, and the intelligent routing switches smoothly. Residents only feel the constant temperature and comfort indoors, and are unaware of the behind-the-scenes work of energy allocation.

[0034] The communication module is integrated into the 5G high-speed network. Residents can control electricity remotely with their mobile phone apps. When they are on their way home, they can instruct the system to preheat the room and start the appliances. The property management uses energy consumption big data to accurately push energy-saving suggestions and stimulate energy-saving competitions based on floor and apartment rankings. According to annual calculations, the building's energy consumption is reduced by 28% compared to the traditional model, but the indoor comfort level has greatly increased due to intelligent temperature control and lighting scene switching, truly realizing green and livable living.

[0035] Example 3

[0036] Remote island microgrid support

[0037] On remote islands with vast blue waters, this system plays a vital role in the isolated microgrid. Offshore wind turbines and tidal power generation devices work side by side, and the energy collection module stands guard 24 hours a day. Electric energy is generated between the rise and fall of the sea and the howling of the sea breeze. The energy storage unit absorbs water like a sponge, buffering the tidal fluctuations of the power generation and ensuring a stable power supply.

[0038] During the peak season for fishermen on the islands, cold storage is full, processing equipment is running non-stop, and electricity demand is soaring exponentially. The central processing unit relies on historical fishing data, real-time sea conditions and equipment conditions, and artificial intelligence algorithms accurately outline the energy supply and demand curve for advanced planning. The intelligent routing switching module is sure to accomplish its mission. When a storm suddenly hits and wind power drops sharply, it quickly switches to tidal energy as the main force, seamlessly connecting energy storage to fill the gap, so that the fish cold chain is uninterrupted throughout the process and the freshness is firmly locked in.

[0039] The communication module uses satellite communication links to transmit data back to the land monitoring center in real time across mountains and seas. Technical experts can remotely "see, listen, ask and feel" to eliminate potential faults immediately. In the past, islands were often limited in development due to energy shortages, but now the system can operate calmly on isolated islands. In extreme weather, energy storage can provide emergency power supply for up to 48 hours, and the reliability of electricity has leapt from less than 60% in the past to more than 90%. Fishery processing is thriving and the people's livelihood on the islands has taken on a new look.

[0040] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. An intelligent energy routing system based on artificial intelligence, characterized in that: include: Energy harvesting module, used to harvest energy from a variety of energy sources, including renewable energy such as solar panel arrays, wind turbines, hydroelectric power generation devices and conventional grid access ports; equipped with intelligent sensor group, real-time monitoring of energy source output parameters, including power, voltage, current and energy quality, can work stably in a wide temperature, high humidity and harsh environment, and transmit raw energy data to the central processing unit at high speed; The energy storage unit is composed of a variety of energy storage components, such as lithium-ion battery packs and supercapacitor modules, and has an adaptive charge and discharge management system. It can efficiently store and release energy according to the instructions of the central processing unit to ensure the life of the energy storage system; The central processing unit integrates a high-performance artificial intelligence chip and runs an intelligent energy management algorithm that integrates deep learning and reinforcement learning. After massive data training and optimization, it can analyze complex data in real time, predict energy supply and demand, generate accurate scheduling strategies, and quickly calculate to ensure low-latency response; Intelligent routing switching module builds a multi-level high-speed power electronic switch matrix, which can flexibly switch energy routes in a very short time according to instructions, adapt to various voltage and current types, and has electrical isolation, protection and fault diagnosis and self-healing functions; Communication module supports a variety of wired and wireless communication protocols to ensure high-speed and stable communication within the system and with external devices, low data packet loss rate, intelligent frequency switching, and encrypted transmission to ensure security; The user interaction and monitoring platform is equipped with a touch screen, voice interaction components and visualization software. Users can intuitively view energy flow and equipment status, and adjust parameters conveniently. Administrators can remotely monitor multiple system instances, quickly receive alarms and handle them.

2. The intelligent energy routing system based on artificial intelligence according to claim 1, characterized in that: The artificial intelligence chip adopts a heterogeneous multi-core architecture, integrates GPU, TPU and dedicated acceleration cores, supports parallel computing acceleration technology, and quickly loads and updates models.

3. The intelligent energy routing system based on artificial intelligence according to claim 1, characterized in that: The energy collection module has a redundant intelligent sensor group design, and uses a verification algorithm to eliminate abnormal data, and has a self-calibration function.

4. The intelligent energy routing system based on artificial intelligence according to claim 1, characterized in that: The adaptive charge and discharge management system of the energy storage unit adopts a hybrid control strategy and comprehensive multi-factor modeling to extend the energy storage life and suppress battery abnormalities.

5. The intelligent energy routing system based on artificial intelligence according to claim 1, characterized in that: The switch matrix of the intelligent routing switching module is made of wide bandgap semiconductor materials, with low on-resistance, low switching loss, high heat dissipation efficiency, and an insulating and flame-retardant shell.

6. The intelligent energy routing system based on artificial intelligence according to claim 1, characterized in that: The communication module has a built-in intelligent channel evaluation and switching unit to monitor channel quality in real time and use distributed caching technology to ensure data integrity.

7. The intelligent energy routing system based on artificial intelligence according to claim 1, characterized in that: The software of the user interaction and monitoring platform supports customized reports, mobile terminal adaptation, and real-time remote control of system status.

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