Intelligent control system for high-power mute methanol power station

Abstract

The invention discloses an intelligent control system for a high-power mute type methanol power station, belongs to the technical field of power generation equipment, and particularly relates to the intelligent control system for the high-power mute type methanol power station, which integrates dynamic combustion optimization, a composite preheating system and intelligent operation and maintenance. The device is especially suitable for high-altitude environments above 3000 meters and low-temperature environments below-40 DEG C. Comprising a high-altitude adaptability structure, a low-temperature starting system, an AI intelligent management system, a mute design structure, a remote communication transmission system and a satellite positioning and geographic information system. Pressure and temperature sensors are used for real-time monitoring, a PID control system is used for automatically adjusting the rotating speed of a compressor, stable air inlet parameters are guaranteed, a combustion model is established in combination with atmospheric pressure and temperature data in the high-altitude environment, the combustion process is further optimized, and the combustion efficiency is improved. The methanol fuel preheating pipeline of the low-temperature starting system is wrapped by the nano carbon fiber electric heating film, accurate temperature control can be achieved, the preheating process is divided into three stages, and the problems that methanol fuel is not prone to combustion and insufficient in combustion at the low temperature are effectively solved.

Description

Technical Field

[0001] The present invention belongs to the technical field of power generation equipment, and in particular relates to an intelligent control system for a high-power silent methanol power station. Background Art

[0002] At high altitudes, the air is thin and the oxygen content is low. Traditional power generation equipment may experience incomplete combustion during operation, resulting in a significant decrease in power generation efficiency or even malfunction. At the same time, the temperature in high altitude areas is generally low, making it difficult for ordinary power generation equipment to start in low temperature environments and easily causing equipment damage due to low temperatures. In addition, existing power generation equipment lacks an intelligent operation and management system, making it impossible to monitor the equipment status in real time, prevent failures in advance, and accurately adjust the power generation according to the power load, resulting in energy waste. In addition, most power generation equipment generates a lot of noise during operation, causing serious interference to the surrounding environment. Therefore, it is very necessary to develop a power generation equipment that can adapt to high altitude and low temperature environments and has intelligent management and silent operation functions. Summary of the Invention

[0003] The present invention aims to provide a high-power, plateau-silent, intelligent methanol power plant to solve the problems of existing power generation equipment in operating at high altitudes and low temperatures, lack of intelligent management, and noise pollution, and to achieve efficient, stable, and environmentally friendly power supply.

[0004] To achieve the above objectives, the present invention provides the following technical solutions: an intelligent control system for a high-power silent methanol power plant, comprising a high-altitude adaptability structure, a low-temperature start-up system, an AI intelligent management system, a silent design structure, a remote communication transmission system, and a satellite positioning and geographic information system;

[0005] The high altitude adaptability structure includes a multi-stage air compression device, a high efficiency air filtration component and an intelligent combustion control system;

[0006] The low-temperature starting system includes a methanol fuel preheating pipeline, an engine preheating module and a double-layer insulation structure;

[0007] The AI ​​intelligent management system includes an intelligent monitoring and fault warning module and a load forecasting and fuel optimization module;

[0008] The silent design structure includes a fully enclosed soundproof box structure, noise source treatment and airflow channel optimization;

[0009] The remote communication transmission system includes a multi-mode communication module, an edge computing gateway and an encrypted transmission protocol;

[0010] The satellite positioning and geographic information system includes a high-precision positioning module, geographic information fusion and intelligent inspection planning.

[0011] The preferred multi-stage air compression device utilizes a three-stage centrifugal air compressor in series. The first stage initially compresses the ambient air to 0.3-0.5 MPa, the second stage further compresses it to 0.8-1.2 MPa, and the third stage compresses it to 1.5-2.0 MPa. Combined with a Venturi tube structure, this creates a high-speed airflow before the compressed air enters the combustion chamber, enhancing the mixing effect of the air and methanol fuel. Pressure and temperature sensors are installed at the outlet of each compressor stage to monitor compressed air parameters in real time. A PID control system automatically adjusts the compressor speed to ensure stable intake pressure and temperature.

[0012] The preferred high-efficiency air filter assembly consists of a primary filter layer, a medium-efficiency filter layer, and a high-efficiency (HEPA) filter layer. The primary filter layer uses a wire mesh to intercept large dust particles; the medium-efficiency filter layer uses glass fiber filter paper to filter particles 1-10μm; and the high-efficiency (HEPA) filter layer can filter particles larger than 0.3μm with a filtration efficiency of 99.97%. An automatic backwash cleaning device is also installed. When the pressure difference between the front and rear filter layers reaches a set threshold, compressed air pulses backwash to remove dust adhering to the filter surface, extending the service life of the filter assembly.

[0013] The optimal intelligent combustion control system is equipped with an oxygen concentration sensor, flame ionization probe, and infrared temperature sensor to monitor oxygen concentration, flame intensity, and temperature in the combustion chamber in real time. When oxygen concentration falls below a set value, the system automatically increases the amount of compressed air. If flame intensity is abnormal, the methanol fuel injection angle and speed are immediately adjusted. By controlling the spark plug ignition advance angle and injection timing, combined with atmospheric pressure and temperature data at high altitudes, a combustion model is established to optimize the combustion process, ensuring power generation efficiency remains above 120% of conventional equipment at an altitude of 5,200 meters.

[0014] The methanol fuel preheating pipeline is preferably wrapped with a nano-carbon fiber electric heating film. Temperature sensors are evenly distributed on the surface of the heating film, achieving precise temperature control within ±1°C. The preheating process is divided into three stages: first, high power is used to quickly raise the temperature to above 0°C; then, medium power is used to slowly increase the temperature to around 5°C-10°C; and finally, low power is used to maintain the temperature to prevent the fuel from falling below 10°C. A flow control valve is also installed at the pipeline inlet to automatically adjust the fuel flow according to the preheating temperature, preventing problems such as difficulty in ignition and incomplete combustion due to low temperature.

[0015] The preferred engine preheating module utilizes composite phase change materials (such as paraffin wax + graphene nanosheets) to extend the phase change temperature range to -10-10°C while increasing thermal conductivity (from 0.2W / m·K to 1.5W / m·K). The composite phase change materials (such as paraffin wax + graphene nanosheets) serve as heat storage media, absorbing waste heat and storing energy during normal power plant operation. Before low-temperature startup, the phase change energy storage material is activated by electrical heating, and the released heat heats the engine coolant. The coolant circulation system adopts a dual-circuit design, with the primary circuit used for engine cooling and the secondary circuit connected to the preheating heat exchanger, which transfers heat to the coolant via a plate heat exchanger. In addition, heating blankets are installed on the engine block, oil pan, and intake manifold. Using silicone rubber heating material, they can quickly increase the temperature of key engine parts. The temperature in the intake manifold must be slightly higher than the vaporization temperature of methanol. This ensures that the engine can reach startup conditions within 30 minutes in an environment of -40 degrees Celsius.

[0016] The preferred double-layer insulation structure features a high-strength stainless steel outer layer, a polyurethane foam inner layer, and a vacuum insulation panel infill. The stainless steel is coated with a nano-insulation coating that reflects over 80% of infrared radiation. Distributed temperature sensors are placed within the insulation layer, and an intelligent control system adjusts the power of the electric heating layer. When the ambient temperature drops below 0°C, the electric heating automatically activates to maintain an internal temperature of 5-10°C, ensuring the proper functioning of the device's internal electronic and mechanical components.

[0017] The preferred intelligent monitoring and fault warning module installs vibration accelerometers, displacement sensors, and current sensors on key components such as the turbocharger, generator rotor, and methanol pump to collect vibration spectrum, displacement, and current waveform data. Using the CNN network within a deep learning algorithm, the system extracts features and performs pattern recognition on the data to build a fault signature library. For example, when a turbocharger bearing wears, the vibration spectrum will show an abnormal increase in specific frequency components. The system can issue a 72-hour advance warning and provide fault probability and repair recommendations. Furthermore, real-time data analysis using edge computing devices reduces data transmission pressure on the cloud and improves fault response speed.

[0018] The preferred load forecasting and fuel optimization module utilizes an LSTM or RGU network combined with a gray prediction model to process multiple data sources, including historical electricity consumption data (including daily, weekly, monthly, and annual electricity consumption curves), real-time meteorological data (temperature, humidity, wind speed, and light intensity), holiday information, and user production plans. Forecasting accuracy can exceed 95%, allowing load demand to be predicted 24 hours in advance. Based on the forecast results, a high-precision metering pump driven by a servo motor adjusts the methanol fuel supply, with an error within ±0.5%. Simultaneously, the start-up and shutdown strategies of power generation equipment are optimized. When long periods of low load are predicted, some generator sets are automatically shut down, enabling energy-saving mode to reduce fuel consumption and equipment wear.

[0019] Optimum, fully enclosed soundproof box structure: the sound insulation board adopts "aluminum honeycomb core + damping coating + basalt fiber sound absorption

[0020] The composite structure of cotton. The weight is reduced to 40kg / m 2 The following, while maintaining the sound insulation effect (insertion loss ≥ 35dB). The cabinet body joints use double-layer sealing strips and lock structures to ensure the sound insulation effect.

[0021] Optimally, noise source treatment involves the engine being mounted on a spring-rubber composite shock-absorbing base. The spring shock absorbers provide low-frequency vibration isolation, while the rubber shock pads absorb high-frequency vibrations, achieving a vibration isolation efficiency exceeding 90%. The engine exhaust system utilizes a multi-stage muffler, including both reactive and resistive mufflers. The reactive muffler eliminates low-frequency noise, while the resistive muffler absorbs mid- and high-frequency noise, reducing exhaust noise to below 60dB. The fan utilizes variable frequency speed regulation technology, adjusting speed based on actual cooling requirements. Silencer hoses are installed at the fan inlet and outlet to reduce airflow noise transmission.

[0022] Optimize airflow channels: Streamlined duct designs are adopted, with sound-absorbing material applied to the inner walls to reduce noise generated by airflow friction. Guide vanes are installed in key locations to guide airflow evenly and avoid vortices. Optimizing duct shape and dimensions through CFD fluid dynamics simulation can reduce airflow resistance by 30% and noise by 10dB. For small and medium-sized power stations, "bionic duct design" (such as simulating the streamlined shape of bird wings) can be adopted. Parametric modeling can be used to quickly generate optimization solutions, reducing simulation costs by over 50%.

[0023] Preferably, the multi-mode communication module: integrates 4G / 5G communication module, Iridium satellite communication module and LORA wireless communication module and "Beidou short message + Tiantong satellite" dual backup solution. When in areas with good 4G / 5G signals such as those around cities, 4G / 5G networks are used for high-speed data transmission first; in areas with insufficient ground network coverage such as remote mountainous areas, it automatically switches to Iridium satellite communication. When the Iridium signal is blocked, it automatically switches to Beidou short messages (communication rate 10bps) to transmit key data (such as fault codes, positioning information), ensuring that communication reliability is improved to 99.9%. Global blind spot-free communication is achieved; LORA wireless communication is used between devices within the station for short-range data interaction, with a transmission distance of up to 2km, strong penetration and low power consumption. At the same time, a communication link monitoring module is set to detect parameters such as signal strength and bit error rate of each communication mode in real time, and intelligently select the optimal communication link.

[0024] The preferred edge computing gateway is an industrial-grade gateway using ARM architecture, equipped with a Linux operating system, a quad-core processor, and 8GB of memory. It supports multiple industrial communication protocols such as Modbus and OPCUA, and can connect to different types of sensors and devices. It has built-in data processing algorithms to pre-process the collected raw data through filtering, compression, feature extraction, etc., reducing the data volume by more than 80% before uploading it to the cloud. At the same time, it supports a local rule engine that can achieve local control of the device according to preset conditions. For example, when the device temperature is detected to be too high, the cooling fan is immediately started without waiting for cloud instructions, which improves the response speed.

[0025] The preferred encrypted transmission protocol uses the national SM4 symmetric encryption algorithm with a 128-bit key to ensure data security during transmission. Furthermore, a digital certificate authentication mechanism provides two-way authentication between the device and the server, preventing unauthorized access and data tampering. During data transmission, the SSL / TLS secure transport layer of the TCP / IP protocol is used to establish a secure and reliable communication channel.

[0026] The preferred high-precision positioning module uses the BeiDou-3 global satellite navigation system and GPS dual-system positioning, with built-in RTK (real-time kinematic) technology. By receiving differential correction information from the base station, it achieves centimeter-level positioning accuracy. The positioning module supports multi-frequency and multi-constellation reception, and can simultaneously receive signals from multiple frequency bands such as B1I, B2I, L1C / A, and L2C, enhancing positioning stability in complex environments. In signal-blocked areas such as high-altitude mountainous areas, auxiliary positioning is performed through the inertial navigation module to ensure continuous and accurate position information output.

[0027] Optimally, geographic information fusion: The power station location information is deeply integrated with the AutoNavi map API to display the power station distribution in the form of a three-dimensional map on the monitoring platform. Map zooming, panning, rotation and other operations are supported, and information such as terrain, roads, and buildings around the power station can be intuitively viewed. At the same time, the power station operating status data (such as power generation, equipment temperature, fault information, etc.) are marked on the map in the form of visual icons, making it convenient for managers to quickly grasp the operating status of each power station. In addition, a path planning function is provided to plan the optimal inspection route for operation and maintenance personnel based on the location of the power station and current traffic conditions.

[0028] Optimized intelligent inspection planning: Based on historical inspection data, equipment failure records, and satellite positioning information, a genetic algorithm (GA) is used to optimize inspection routes. Factors such as equipment importance, failure probability, and distance are taken into account to generate the optimal inspection sequence and schedule. Furthermore, weather forecasts and terrain information are combined to automatically avoid severe weather conditions such as heavy rain and snow, as well as dangerous areas such as landslides and mudslides. During the inspection process, operations and maintenance personnel can view inspection tasks, equipment information, and navigation routes in real time through mobile terminals. After completing the inspection, they can upload inspection records and photos, realizing digital management of inspection work.

[0029] Compared with the prior art, the present invention has the following beneficial effects:

[0030] 1. The present invention uses a three-stage centrifugal air compressor in series structure and a Venturi tube structure to form a high-speed airflow, thereby enhancing the mixing effect of air and methanol fuel. In addition, pressure and temperature sensors are used for real-time monitoring, and a PID control system is used to automatically adjust the compressor speed to ensure stable intake parameters. A combustion model is established based on atmospheric pressure and temperature data in a high-altitude environment to further optimize the combustion process.

[0031] 2. The present invention uses a nano-carbon fiber electric heating film to wrap the methanol fuel preheating pipe of the low-temperature starting system, which can achieve precise temperature control. The preheating process is divided into three stages, effectively solving the problem of incomplete combustion of methanol fuel at low temperatures;

[0032] 3. The present invention installs multiple sensors on key components through the intelligent monitoring and fault warning module to collect vibration spectrum, displacement and current waveform data, uses the CNN network in the deep learning algorithm to extract features and recognize patterns, establishes a fault feature library, issues an early warning 72 hours in advance, and provides fault probability and maintenance suggestions, reducing equipment downtime and maintenance costs. At the same time, local data processing is realized through edge computing devices, reducing the pressure of cloud data transmission and improving fault response speed. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 This is the operating process of an intelligent control system for a high-power silent methanol power plant of the present invention Figure 1 ;

[0034] Figure 2 This is the operating process of an intelligent control system for a high-power silent methanol power plant of the present invention Figure 2 ;

[0035] Figure 3 This is the operating process of an intelligent control system for a high-power silent methanol power plant of the present invention Figure 3 ;

[0036] Figure 4This is the operating process of an intelligent control system for a high-power silent methanol power plant of the present invention Figure 4 ;

[0037] Figure 5 This is the operating process of an intelligent control system for a high-power silent methanol power plant of the present invention Figure 5 ;

[0038] Figure 6 This is the operating process of an intelligent control system for a high-power silent methanol power plant of the present invention Figure 6 . DETAILED DESCRIPTION

[0039] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0040] Example

[0041] See also Figures 1-6 As shown, the present invention provides a technical solution: including a high-altitude adaptability structure, a low-temperature starting system, an AI intelligent management system, a silent design structure, a remote communication transmission system, and a satellite positioning and geographic information system;

[0042] The high altitude adaptability structure includes a multi-stage air compression device, a high efficiency air filtration component and an intelligent combustion control system;

[0043] The low-temperature starting system includes a methanol fuel preheating pipeline, an engine preheating module and a double-layer insulation structure;

[0044] The AI ​​intelligent management system includes an intelligent monitoring and fault warning module and a load forecasting and fuel optimization module;

[0045] The silent design structure includes a fully enclosed soundproof box structure, noise source treatment and airflow channel optimization;

[0046] The remote communication transmission system includes a multi-mode communication module, an edge computing gateway and an encrypted transmission protocol;

[0047] The satellite positioning and geographic information system includes a high-precision positioning module, geographic information fusion and intelligent inspection planning.

[0048] The preferred multi-stage air compression device utilizes a three-stage centrifugal air compressor in series. The first stage initially compresses the ambient air to 0.3-0.5 MPa, the second stage further compresses it to 0.8-1.2 MPa, and the third stage compresses it to 1.5-2.0 MPa. Combined with a Venturi tube structure, this creates a high-speed airflow before the compressed air enters the combustion chamber, enhancing the mixing effect of the air and methanol fuel. Pressure and temperature sensors are installed at the outlet of each compressor stage to monitor compressed air parameters in real time. A PID control system automatically adjusts the compressor speed to ensure stable intake pressure and temperature.

[0049] Preferably, the high-efficiency air filter assembly is composed of a primary filter layer, a medium-efficiency filter layer and a high-efficiency HEPA filter layer. The primary filter layer uses a metal wire mesh to intercept large dust particles; the medium-efficiency filter layer is glass fiber filter paper, which filters particles of 1-10μm; the high-efficiency HEPA filter layer can filter particles larger than 0.3μm, with a filtration efficiency of 99.97%, and is equipped with an automatic backwash cleaning device. When the pressure difference before and after the filter layer reaches the set threshold, compressed air pulses are backwashed to remove dust attached to the surface of the filter material, thereby extending the service life of the filter assembly.

[0050] The optimal intelligent combustion control system is equipped with an oxygen concentration sensor, flame ionization probe, and infrared temperature sensor to monitor oxygen concentration, flame intensity, and temperature in the combustion chamber in real time. When oxygen concentration falls below a set value, the system automatically increases the amount of compressed air. If flame intensity is abnormal, the methanol fuel injection angle and speed are immediately adjusted. By controlling the spark plug ignition advance angle and injection timing, combined with atmospheric pressure and temperature data at high altitudes, a combustion model is established to optimize the combustion process, ensuring power generation efficiency remains above 120% of conventional equipment at an altitude of 5,200 meters.

[0051] The methanol fuel preheating pipeline is preferably wrapped with a nano-carbon fiber electric heating film. Temperature sensors are evenly distributed on the surface of the heating film, achieving precise temperature control within ±1°C. High power is first used to quickly raise the temperature to above 0°C; then, medium power is used to slowly increase the temperature to around 5°C-10°C; finally, low power is used to maintain the temperature to prevent the fuel from falling below 10°C. A flow control valve is also installed at the pipeline inlet to automatically adjust the fuel flow according to the preheating temperature, preventing problems such as difficulty igniting the fuel and incomplete combustion due to low temperatures.

[0052] Preferably, the engine preheating module: uses phase change energy storage materials (such as fatty acids) as heat storage media to absorb waste heat and store energy during normal operation of the power station. Before low-temperature starting, the phase change energy storage material is activated by electric heating, and the released heat heats the engine coolant. The coolant circulation system adopts a dual-circuit design. The main circuit is used for engine cooling, and the secondary circuit is connected to the preheating heat exchanger, which transfers heat to the coolant through the plate heat exchanger. In addition, heating blankets are installed on the engine cylinder block, oil pan and intake manifold, and silicone rubber heating materials are used to ensure that the temperature in the intake manifold is slightly higher than the vaporization temperature of methanol. Ensure that the engine can reach the starting conditions within 30 minutes in an environment of minus 40 degrees.

[0053] The preferred double-layer insulation structure features a high-strength stainless steel outer layer, a polyurethane foam inner layer, and a vacuum insulation panel in the middle. The stainless steel is coated with a nano-insulation coating that reflects over 80% of infrared radiation. Distributed temperature sensors are placed within the insulation layer, and an intelligent control system adjusts the power of the electric heating layer. When the ambient temperature drops below 0°C, the electric heating automatically activates to maintain an internal temperature of 5-10°C, ensuring the proper functioning of the device's internal electronic and mechanical components.

[0054] The preferred intelligent monitoring and fault warning module installs vibration accelerometers, displacement sensors, and current sensors on key components such as the turbocharger, generator rotor, and methanol pump to collect vibration spectrum, displacement, and current waveform data. Using the CNN network within a deep learning algorithm, the system extracts features and performs pattern recognition on the data to build a fault signature library. For example, when a turbocharger bearing wears, the vibration spectrum will show an abnormal increase in specific frequency components. The system can issue a 72-hour advance warning and provide fault probability and repair recommendations. Furthermore, real-time data analysis using edge computing devices reduces data transmission pressure on the cloud and improves fault response speed.

[0055] The preferred load forecasting and fuel optimization module utilizes multi-source data processing, including LSTM or GRU network data (temperature, humidity, wind speed, and sunlight), holiday information, and user production plans. Forecasting accuracy exceeds 95%, allowing load demand to be predicted 24 hours in advance. Based on the forecast results, a high-precision metering pump driven by a servo motor regulates the methanol fuel supply, with an error within ±0.5%. Furthermore, the module optimizes the start-up and shutdown strategies of power generation equipment. When long periods of low load are predicted, some generator sets are automatically shut down, enabling energy-saving mode to be used to reduce fuel consumption and equipment wear.

[0056] Optimum, fully enclosed soundproof box structure: the sound insulation board adopts "aluminum honeycomb core + damping coating + basalt fiber sound absorption

[0057] The composite structure of cotton. The weight is reduced to 40kg / m 2The following, while maintaining the sound insulation effect (insertion loss ≥ 35dB). The cabinet body joints use double-layer sealing strips and lock structures to ensure the sound insulation effect.

[0058] Optimally, noise source treatment involves the engine being mounted on a spring-rubber composite shock-absorbing base. The spring shock absorbers provide low-frequency vibration isolation, while the rubber shock pads absorb high-frequency vibrations, achieving a vibration isolation efficiency exceeding 90%. The engine exhaust system utilizes a multi-stage muffler, including both reactive and resistive mufflers. The reactive muffler eliminates low-frequency noise, while the resistive muffler absorbs mid- and high-frequency noise, reducing exhaust noise to below 60dB. The fan utilizes variable frequency speed regulation technology, adjusting speed based on actual cooling requirements. Silencer hoses are installed at the fan inlet and outlet to reduce airflow noise transmission.

[0059] Optimize airflow channels: Streamlined duct designs are adopted, with sound-absorbing material applied to the inner walls to reduce noise generated by airflow friction. Guide vanes are installed in key locations to guide airflow evenly and avoid vortices. Optimizing duct shape and dimensions through CFD fluid dynamics simulation can reduce airflow resistance by 30% and noise by 10dB. For small and medium-sized power stations, "bionic duct design" (such as simulating the streamlined shape of bird wings) can be adopted. Parametric modeling can be used to quickly generate optimization solutions, reducing simulation costs by over 50%.

[0060] Preferably, multi-mode communication module: integrated 4G / 5G communication module, Iridium satellite communication module and LORA wireless communication module "Beidou short message + Tiantong satellite" dual backup solution. When in areas with good 4G / 5G signals such as those around cities, 4G / 5G networks are used for high-speed data transmission first; in areas with insufficient ground network coverage such as remote mountainous areas, it automatically switches to Iridium satellite communication. When the Iridium signal is blocked, it automatically switches to Beidou short messages (communication rate 10bps) to transmit key data (such as fault codes, positioning information), ensuring that communication reliability is improved to 99.9%. Global blind spot-free communication is achieved; LORA wireless communication is used between devices within the station for short-range data interaction, with a transmission distance of up to 2km, strong penetration and low power consumption. At the same time, a communication link monitoring module is set to detect parameters such as signal strength and bit error rate of each communication mode in real time, and intelligently select the optimal communication link.

[0061] The preferred edge computing gateway is an industrial-grade gateway using ARM architecture, equipped with a Linux operating system, a quad-core processor, and 8GB of memory. It supports multiple industrial communication protocols such as Modbus and OPCUA, and can connect to different types of sensors and devices. It has built-in data processing algorithms to pre-process the collected raw data through filtering, compression, feature extraction, etc., reducing the data volume by more than 80% before uploading it to the cloud. At the same time, it supports a local rule engine that can achieve local control of the device according to preset conditions. For example, when the oil temperature is detected to be too high, the cooling fan is immediately started without waiting for cloud instructions, which improves the response speed.

[0062] The preferred encrypted transmission protocol uses the national SM4 symmetric encryption algorithm with a 128-bit key to ensure data security during transmission. Furthermore, a digital certificate authentication mechanism provides two-way authentication between the device and the server, preventing unauthorized access and data tampering. During data transmission, the SSL / TLS secure transport layer of the TCP / IP protocol is used to establish a secure and reliable communication channel.

[0063] The preferred high-precision positioning module uses the BeiDou-3 global satellite navigation system and GPS dual-system positioning, with built-in RTK (real-time kinematic) technology. By receiving differential correction information from the base station, it achieves centimeter-level positioning accuracy. The positioning module supports multi-frequency and multi-constellation reception, and can simultaneously receive signals from multiple frequency bands such as B1I, B2I, L1C / A, and L2C, enhancing positioning stability in complex environments. In signal-blocked areas such as high-altitude mountainous areas, auxiliary positioning is performed through the inertial navigation module to ensure continuous and accurate position information output.

[0064] Optimally, geographic information fusion: The power station location information is deeply integrated with the AutoNavi map API to display the power station distribution in the form of a three-dimensional map on the monitoring platform. Map zooming, panning, rotation and other operations are supported, and information such as terrain, roads, and buildings around the power station can be intuitively viewed. At the same time, the power station operating status data (such as power generation, equipment temperature, fault information, etc.) are marked on the map in the form of visual icons, making it convenient for managers to quickly grasp the operating status of each power station. In addition, a path planning function is provided to plan the optimal inspection route for operation and maintenance personnel based on the location of the power station and current traffic conditions.

[0065] Optimized intelligent inspection planning: Based on historical inspection data, equipment failure records, and satellite positioning information, a genetic algorithm (GA) is used to optimize inspection routes. Factors such as equipment importance, failure probability, and distance are taken into account to generate the optimal inspection sequence and schedule. Furthermore, weather forecasts and terrain information are combined to automatically avoid severe weather conditions such as heavy rain and snow, as well as dangerous areas such as landslides and mudslides. During the inspection process, operations and maintenance personnel can view inspection tasks, equipment information, and navigation routes in real time through mobile terminals. After completing the inspection, they can upload inspection records and photos, realizing digital management of inspection work.

[0066] Implementation Case 1

[0067] Power supply to remote mountain villages: In a remote village at an altitude of 4,800 meters on the Qinghai-Tibet Plateau in my country, traditional diesel generators have 3-4 breakdown shutdowns per month due to thin air and low temperature environment, and the cost of power generation is high. After the high-power plateau silent intelligent methanol power station of the present invention is put into use, it can still operate stably in an environment of minus 35 degrees in winter through its high-altitude adaptability structure and low-temperature starting system, and its power generation efficiency is 30% higher than that of traditional equipment. The AI ​​intelligent management system monitors the status of the equipment in real time, with only one minor fault occurring in a year, and it is resolved in time through remote fault diagnosis. The remote communication transmission and satellite positioning functions realize remote centralized management of the power station, and operation and maintenance personnel do not need to frequently go to the site, reducing operation and maintenance costs by 40%. At the same time, the silent design makes the operating noise of the power station lower than 55dB, without interfering with the lives of surrounding residents.

[0068] Implementation Case 2

[0069] Application in plateau scientific research stations: At a plateau scientific research station at an altitude of 5,200 meters, extremely high requirements are placed on the stability and reliability of the power supply. The multi-stage air compression device and intelligent combustion control system used in this power station ensure that the power generation capacity is stable at 500kW when the oxygen content is only 50% of that in the plains. The low-temperature start-up system can start quickly in extremely cold weather to ensure the normal operation of scientific research equipment. The AI ​​intelligent management system accurately predicts load demand and optimizes fuel supply based on the power consumption patterns of the scientific research station, reducing methanol consumption by 25%. The remote communication transmission system transmits the power station operation data back to the scientific research base in real time, and scientific researchers can adjust the power station parameters remotely. The satellite positioning function combined with the geographic information system provides accurate navigation for material transportation and equipment inspection, improving the efficiency and safety of scientific research work.

[0070] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

[0071] The present invention and its embodiments are described above. This description is not restrictive. The drawings show only one embodiment of the present invention, and the actual structure is not limited thereto. In short, if a person skilled in the art is inspired by this and, without departing from the purpose of the present invention, designs structures and embodiments similar to this technical solution without inventiveness, they shall fall within the scope of protection of the present invention.

Claims

1. An intelligent control system for a high-power silent methanol power plant, characterized by: Including high altitude adaptability structure, low temperature start system, AI intelligent management system, silent design structure, remote communication transmission system and satellite positioning and geographic information system; The high altitude adaptability structure includes a multi-stage air compression device, a high efficiency air filtration component and an intelligent combustion control system; The low-temperature starting system includes a methanol fuel preheating pipeline, an engine preheating module and a double-layer insulation structure; The AI ​​intelligent management system includes an intelligent monitoring and fault warning module and a load forecasting and fuel optimization module; The silent design structure includes a fully enclosed soundproof box structure, noise source treatment and airflow channel optimization; The remote communication transmission system includes a multi-mode communication module, an edge computing gateway and an encrypted transmission protocol; The satellite positioning and geographic information system includes a high-precision positioning module, geographic information fusion and intelligent inspection planning.

2. The intelligent control system for a high-power silent methanol power plant according to claim 1, characterized in that: The multi-stage air compression device adopts a three-stage centrifugal air compressor series structure. The first stage compressor initially compresses the external air to 0.3-0.5MPa, the second stage further compresses it to 0.8-1.2MPa, and the third stage compresses it to 1.5-2.0MPa. In conjunction with the Venturi tube structure, the compressed air forms a high-speed airflow before entering the combustion chamber. At the same time, a pressure sensor and a temperature sensor are installed at the outlet of each compressor stage to monitor the compressed air parameters in real time and automatically adjust the compressor speed through a PID control system. High-efficiency air filtration assembly: consists of a primary filter layer, a medium-efficiency filter layer and a high-efficiency HEPA filter layer. The primary filter layer uses a metal mesh to intercept large particles of dust; The medium-efficiency filter layer is glass fiber filter paper, which filters particles of 1-10 μm; The high-efficiency HEPA filter layer can filter particles larger than 0.3μm, and is equipped with an automatic back-blowing and dust cleaning device. When the pressure difference before and after the filter layer reaches the set threshold, compressed air pulse back-blowing is used to remove dust attached to the surface of the filter material.

3. The intelligent control system for a high-power silent methanol power plant according to claim 1 is characterized in that: The intelligent combustion control system is equipped with an oxygen concentration sensor, a flame ionization probe and an infrared temperature sensor to monitor the oxygen concentration, flame intensity and temperature in the combustion chamber in real time. When the oxygen concentration is lower than the set value, the system automatically increases the compressed air intake; If the flame intensity is abnormal, immediately adjust the total amount and speed of methanol fuel injection.

4. The intelligent control system for a high-power silent methanol power plant according to claim 1, characterized in that: The methanol fuel preheating pipeline adopts nano-carbon fiber electric heating film to wrap the fuel pipeline (temperature control accuracy ±1°C), and is linked with the oil pan viscosity sensor (range 0-500cSt): when the viscosity of the lubricating oil is greater than 150cSt, the medium-power preheating stage is automatically extended by 5-10 minutes. The engine preheating module adopts paraffin + graphene nanosheet composite phase change material (phase change temperature -10~10°C, thermal conductivity 1.5W / m·K), combined with a dual-circuit coolant system, the start-up time is shortened to within 20 minutes in a -40°C environment. Temperature sensors are evenly distributed on the surface of the heating film. At the same time, a flow control valve is set at the inlet of the pipeline to automatically adjust the fuel flow according to the preheating temperature to avoid insufficient combustion of the fuel due to too low temperature; Engine preheating module: uses phase change energy storage material as a heat storage medium to absorb waste heat and store energy during normal operation of the power station. Before low-temperature start-up, the phase change energy storage material is activated by electric heating, and the released heat heats the engine coolant. The coolant circulation system adopts a dual-circuit design. The main circuit is used for engine cooling, and the secondary circuit is connected to the preheating heat exchanger, which transfers heat to the coolant through a plate heat exchanger. Heating blankets are installed on the engine cylinder block, oil pan and intake manifold.

5. The intelligent control system for a high-power silent methanol power plant according to claim 1, characterized in that: The double-layer insulation structure has an outer stainless steel plate coated with nano-insulation coating (reflectivity 80%), the thickness of the middle vacuum insulation panel is increased to 30mm, and a built-in distributed temperature sensor (sampling interval 10 seconds). When the ambient temperature is less than -20℃, the power of the electric heating insulation layer is automatically increased by 20% to maintain the internal temperature at 5-10℃.

6. The intelligent control system for a high-power silent methanol power plant according to claim 1, characterized in that: The intelligent monitoring and fault warning module installs vibration accelerometers, displacement sensors, current sensors, an oil spectrometer (with a metal wear particle detection accuracy of 0.1μm), and an infrared thermal imager (with a temperature resolution of 0.5°C) on key components such as the turbocharger, generator rotor, and methanol pump. This module builds a three-modal diagnostic model: vibration spectrum, oil composition, and temperature field. This model collects vibration spectrum, displacement, and current waveform data, and uses a CNN network within a deep learning algorithm to perform feature extraction and pattern recognition on this data, creating a fault signature library. This data is then analyzed in real time using edge computing devices. The load forecasting and fuel optimization module processes multi-source data such as historical electricity consumption data, real-time meteorological data, holiday information, and user production plans through an LSTM or GRU network combined with a grey prediction model. Based on the forecast results, it adjusts the methanol fuel supply through a high-precision metering pump driven by a servo motor, with the error controlled within ±0.5%. At the same time, it optimizes the start-stop strategy of power generation equipment. When a long period of low load is predicted, some generator sets are automatically shut down and energy-saving mode is enabled to reduce fuel consumption and equipment wear.

7. The intelligent control system for a high-power silent methanol power plant according to claim 1, characterized in that: The fully enclosed soundproof box structure: The sound insulation board adopts a composite structure of "steel plate-damping material-sound-absorbing cotton-perforated plate"; the damping material is butyl rubber; the sound-absorbing cotton is centrifugal glass wool; the perforated plate has a perforation rate of 20%, a hole diameter of 5mm, and a resonant frequency designed to be 250Hz; each joint of the box adopts a double-layer sealing strip and a locking structure; Noise source treatment: The engine is mounted on a spring-rubber composite shock-absorbing base. The spring shock absorber provides low-frequency vibration isolation, and the rubber shock-absorbing pad absorbs high-frequency vibration. The engine exhaust system uses a multi-stage muffler, including a reactive muffler and a resistive muffler. The reactive muffler eliminates low-frequency noise, while the resistive muffler absorbs medium- and high-frequency noise, reducing exhaust noise to below 60dB. The fan uses variable frequency speed regulation technology to adjust the speed according to actual heat dissipation requirements. At the same time, silencer hoses are installed at the fan inlet and outlet. The airflow channel is optimized with a streamlined duct design and sound-absorbing material pasted on the inner wall of the duct. Guide vanes are set at key locations of the duct to guide the airflow to flow evenly and avoid vortexes. The shape and size of the duct are optimized through CFD fluid mechanics simulation.

8. The intelligent control system for a high-power silent methanol power plant according to claim 1, characterized in that: The multi-mode communication module integrates 4G / 5G communication module, Iridium satellite communication module and LoRa wireless communication module. When in an area with good 4G / 5G signal around a city, it gives priority to using 4G / 5G network for high-speed data transmission; in remote mountainous areas with insufficient ground network coverage, it automatically switches to Iridium satellite communication to achieve global communication without blind spots; LoRa wireless communication is used for short-distance data exchange between devices within the station. At the same time, a communication link monitoring module is set to detect the signal strength and bit error rate parameters of each communication mode in real time, and intelligently select the optimal communication link; Edge computing gateway: An industrial-grade gateway using ARM architecture, equipped with a Linux operating system, a quad-core processor and 8GB of memory, and built-in data processing algorithms to filter, compress, and pre-process the collected raw data through feature extraction. It also supports a local rule engine that enables local control of devices based on preset conditions.

9. The intelligent control system for a high-power silent methanol power plant according to claim 1, characterized in that: The encrypted transmission protocol: uses the national secret SM4 symmetric encryption algorithm to encrypt data with a key length of 128 bits. At the same time, combined with the digital certificate authentication mechanism, two-way authentication of the device and the server is performed. During the data transmission process, the SSL / TLS security transport layer of the TCP / IP protocol is used to establish a secure and reliable communication channel.

10. The intelligent control system for a high-power silent methanol power plant according to claim 1, characterized in that: The high-precision positioning module utilizes the BeiDou-3 global satellite navigation system and GPS dual-system positioning, with built-in RTK technology. By receiving differential correction information from base stations, it achieves centimeter-level positioning accuracy. The module supports multi-frequency and multi-constellation reception, simultaneously receiving signals from multiple frequency bands, including B1I, B2I, L1C / A, and L2C. In high-altitude mountainous areas where signals are blocked, it uses an inertial navigation module for auxiliary positioning. The geographic information fusion module integrates with the AutoNavi Map 3D API, annotating power plant operating data (such as power generation and equipment temperature) in real time, and providing inspection route planning based on genetic algorithms (improving optimization efficiency by 30%).

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