Shaftless wheel flange type pipeline generator intelligent body

Abstract

The invention discloses a shaftless rim type pipeline generator intelligent body, which comprises a shaftless rim power generation module and an intelligent control module, the shaftless rim power generation module is used for executing a power generation instruction, the intelligent control module is used for sending a power generation control instruction, and the shaftless rim power generation module and the intelligent control module are fixedly connected and realize data interaction and instruction transmission; the sensing sub-module is used for collecting multi-dimensional data; the analysis sub-module processes the collected data and outputs an analysis result; the hierarchical neural network learning sub-module is internally provided with a neural network, receives an analysis result and outputs an optimal result; the decision sub-module outputs and analyzes a result based on a neural network; and the security assurance sub-module is used for providing multi-dimensional protection. According to the shaftless structure, the power generation efficiency and reliability are improved, the shaftless rim type rotor design is adopted, friction and water flow blocking of a traditional center shaft are eliminated, water flow resistance is reduced, and the power generation efficiency is improved; the self-lubricating bearing prolongs the maintenance period, the operation stability is obviously improved, the power generation efficiency is improved, and the annual average maintenance cost is reduced.

Description

Technical Field

[0001] This invention belongs to the field of distributed generation technology, specifically relating to a shaftless flange-type pipeline generator intelligent agent. Background Technology

[0002] With the popularization of distributed generation technology, pipeline hydropower has become an important way to save energy, reduce emissions, and supplement the power grid due to its clean and flexible characteristics. However, existing pipeline generators and related intelligent control equipment still have many core defects, which restrict the operating efficiency, reliability, and intelligence level of individual equipment.

[0003] Existing pipeline generators generally adopt the traditional structure of "central shaft + rotor impeller". The central shaft is subjected to water flow impact and torque for a long time, which easily leads to uneven local stress, resulting in shaft wear, deformation, and even breakage. This results in high maintenance frequency and cost. At the same time, the central shaft obstructs water flow, forming local eddies, which greatly increases water flow resistance and causes serious energy loss. The power generation efficiency is generally below 70%, far from fully exploiting the potential energy value of water flow. The control modules of existing equipment are limited to basic start-stop and simple flow regulation, lacking intelligent decision-making capabilities. The equipment operation relies on a passive "power as soon as water is available" mode, unable to combine multi-dimensional information such as changes in water inflow, equipment status, grid demand, and electricity price fluctuations to optimize operating strategies. It cannot predict the reduction in water inflow to adjust output in advance, nor can it proactively increase or decrease power in response to grid peak-shaving demands, resulting in extremely poor operational flexibility and economy.

[0004] Existing equipment lacks standardized collaborative interaction interfaces and data transmission mechanisms. Individual devices operate in isolation, unable to interact with other devices or control platforms for data exchange and command response, making it difficult to integrate into a cluster collaborative control system. When equipment malfunctions, it lacks autonomous early warning and emergency response capabilities, easily leading to shutdowns and production stoppages, affecting power supply stability. The safety protection mechanisms of existing equipment are inadequate, mostly possessing only single overcurrent or overvoltage protection, lacking targeted protection against common faults such as mechanical impurity intrusion, blade cavitation, and stator overheating. Furthermore, it lacks offline emergency decision-making and manual control functions; when the control system fails, the equipment cannot maintain its core power generation function, resulting in insufficient reliability. The adaptability of existing equipment is significantly limited. Individual devices can only adapt to pipeline systems of fixed specifications, unable to adapt to scenarios with different water flow rates (1-20 m³ / s) through combination. Moreover, new equipment requires lengthy debugging after deployment to adapt to local hydrological characteristics, resulting in long deployment cycles and poor flexibility.

[0005] To address the shortcomings of the existing technologies, this invention proposes a shaftless flange-type intelligent pipeline generator. Through shaftless flange structure optimization, multi-dimensional intelligent control, and multiple safety protection designs, it solves the problems of low efficiency, cumbersome control, weak coordination, insufficient protection, and poor adaptability of single pipeline generators, thereby achieving efficient, intelligent, and reliable operation of the equipment. Summary of the Invention

[0006] In view of the problems mentioned in the background technology above, the purpose of this invention is to provide an intelligent body for a shaftless flange-type pipeline generator. Through shaftless flange structure optimization, multi-dimensional intelligent control and multiple safety protection designs, it solves the problems of low efficiency, cumbersome control, weak coordination, insufficient protection and poor adaptability of a single pipeline generator, and achieves efficient, intelligent and reliable operation of the equipment.

[0007] To achieve the above-mentioned technical objectives, the technical solution adopted by the present invention is as follows: The shaftless flange-type pipeline generator intelligent body includes a shaftless flange-type power generation module and an intelligent control module. The shaftless flange-type power generation module is used to execute power generation commands, and the intelligent control module is used to issue control power generation commands. The two are fixedly connected and realize data interaction and command transmission. The intelligent control module includes a perception submodule, an analysis submodule, a hierarchical neural network learning submodule, a decision-making submodule, a collaboration submodule, and a security submodule. The perception submodule is used to collect multi-dimensional data; The analysis submodule processes the collected data and outputs the analysis results; The hierarchical neural network learning submodule has a built-in neural network that receives analysis results and outputs the optimal results. The decision-making submodule outputs control commands to the shaftless wheel rim power generation module based on the neural network output and analysis results. The collaborative submodule is used to realize data interaction and command response between intelligent agents; The security protection submodule is used to provide multi-dimensional protection.

[0008] Further defined, the shaftless rim power generation module includes a tubular housing, a shaftless rim rotor, an annular stator assembly, a self-lubricating bearing, power generation blades, a permanent magnet, a pressure sensor, a pipe, a guide vane, a regulating valve core, a support structure, a flow sensor, and an electromagnetic pulse valve; The pipeline is a water supply pipeline with openings at both ends. A tapered transition section is provided at one end near the middle of the pipeline, and the two ends are respectively connected to an external water supply pipeline and a tubular casing. The guide vanes are evenly distributed circumferentially along the inner wall of the tapered transition section of the pipeline. One end is welded and fixed to the inner wall of the pipeline, and the other end extends towards the tubular casing to guide the water flow smoothly into the tubular casing. The tubular casing is a hollow cylindrical structure, coaxially connected between the tapered transition sections of the two pipeline sections, with its axis collinear with the pipeline axis. The support structure is a ring-shaped bracket fixed to both ends of the inner wall of the tubular casing. Further specified, there are four self-lubricating bearings, which are respectively embedded in the four corners of the shaftless rim rotor; the shaftless rim rotor is a ring structure, coaxially sleeved in the internal cavity of the tubular housing, and rotatably connected to the tubular housing through the self-lubricating bearings; the power generation blades are evenly distributed along the circumference of the inner ring wall of the shaftless rim rotor, and the root of the blades is welded and fixed to the shaftless rim rotor; the permanent magnet is fixed to the outer ring wall of the shaftless rim rotor.

[0009] Further specified, the annular stator assembly is fixed in the annular mounting groove on the inner wall of the tubular housing, and the inner annular surface of the annular stator assembly is in clearance fit with the outer annular surface of the permanent magnet; the regulating valve core is disposed on the water outlet side inside the tubular housing, and the support shaft of the regulating valve core is rotatably connected to the inner wall of the tubular housing for regulating the water flow rate inside the tubular housing; the pressure sensor is installed on the pipe side wall at the water inlet end of the tubular housing and communicates with the inside of the pipe.

[0010] Further specifying, the flow sensor is installed on the side wall of the pipe at the water outlet end of the tubular casing and is in communication with the inside of the pipe; the intelligent control module also includes a computational control learning module and a communication and collaboration module; The electromagnetic pulse valve is fixed to the outer wall of the tubular housing and is connected to the regulating valve core; the signal input terminal of the computational control learning module is connected to the pressure sensor, flow sensor, and annular stator assembly respectively; the communication and coordination module is connected to the internal circuit of the computational control learning module and is equipped with an external antenna for data interaction and command transmission.

[0011] Furthermore, the sensing submodule is used to collect data related to hydrology, equipment operation, power grid, and economic policies; The hierarchical neural network learning submodule receives the analysis results and outputs the optimal operating parameters, decision instructions, and early warning information. The multi-dimensional protection of the safety protection submodule includes providing mechanical protection, electrical protection, and emergency control functions.

[0012] Furthermore, multiple shaftless flange-type pipeline generator intelligent agents can be combined in parallel or series to adapt to pipeline systems with different water conveyance scales.

[0013] Furthermore, the data collected by the sensing submodule includes hydrological parameters, equipment operating status parameters, power grid operating parameters, and economic policy-related data. The data is transmitted to the analysis submodule and the hierarchical neural network learning submodule via wired or wireless means.

[0014] Furthermore, the control commands output by the decision submodule include power generation adjustment commands and flow rate adjustment commands, thereby achieving precise control of equipment output and water flow distribution.

[0015] Further specifying, the safety protection submodule includes a mechanical protection unit, an electrical protection unit, and an emergency control unit; The mechanical protection unit is used to prevent impurities from entering and to prevent damage from overcurrent and overload; the electrical protection unit is used to prevent power grid abnormalities and equipment electrical faults; the emergency control unit includes manual control and offline emergency decision-making functions.

[0016] The principles and beneficial effects of this invention: The intelligent generator is an industry benchmark device in the field of distributed power generation with "biological individuals" as its core paradigm. Its essence is to replicate the complete life characteristics and autonomous operation logic of carbon-based life through silicon-based technology, build a "power generation life form" with self-circulation, self-evolution and self-coordination capabilities, and establish industry design, operation and coordination standards for biological intelligent generators, leading the industry transformation of distributed power generation from "mechanical tools" to "intelligent life forms".

[0017] As a biological entity, its core life foundation is its autonomous energy supply system—the shaftless rim power generation module, much like a biological "metabolic organ": it adopts the industry-breakthrough structure of a shaftless rim rotor, replacing the traditional central shaft design, eliminating water flow obstruction and mechanical friction. Combined with self-lubricating bearings, annular stator components, and power generation blades, it efficiently converts water flow potential energy into electrical energy. This not only solves the core problem of energy source for biological entities, but also sets a standard paradigm for efficient energy conversion in the industry with its "shaftless" and "self-lubricating" features. It keeps the power generation efficiency stable at over 85% and extends the maintenance cycle to over 10 years, defining an industry benchmark for efficient and reliable energy supply.

[0018] Its biological-like perception and neural center are constructed by intelligent control modules: the perception submodule acts like a "sensory system," comprehensively collecting multi-dimensional environmental and self-data such as hydrological parameters, equipment operating status, power grid demand, and economic policies, and transmitting the data to the analysis submodule via wired / wireless dual-mode transmission (industry-compatible standard solution); the analysis submodule acts as an "information processing center," completing data filtering, integration, and trend analysis, and outputting standardized information; the hierarchical neural network learning submodule is the core "brain," with a built-in lightweight LSTM neural network that forms a self-evolutionary capability through continuous learning and iteration, outputting optimal operating parameters, decision instructions, and early warning information, providing a "cognitive foundation" for the individual to adapt to environmental changes; the decision-making submodule acts like a "motor command center," generating precise instructions such as power generation (0-500kW, accuracy ±5kW) and flow regulation (0.5-10m³ / s, accuracy ±0.1m³ / s) based on the output of the neural center, driving the energy supply system to dynamically adapt, realizing an autonomous closed loop of "demand-response," and establishing a standard link for perception-decision-execution of the industry's biological-like intelligent agent.

[0019] Its bio-like collaboration and survival support system further improves the industry's standard system for bio-like intelligent agents: the collaboration sub-module and the communication collaboration module constitute a "social and information interaction system," which, like the "group collaboration ability" of organisms, supports multiple intelligent agents to form a "bio-like cluster" through parallel / series connection. The total output of the cluster can reach 10MW, and it is compatible with pipeline systems with different water conveyance scales of 1-20m³ / s. It establishes a standard interface and combination mode for intelligent agent cluster collaboration in the industry. The safety support sub-module is the "immune system and emergency mechanism," which integrates three industry-leading protection units: mechanical protection (preventing impurity intrusion, overcurrent and overload), electrical protection (preventing grid anomalies and electrical faults), and emergency control (manual control + offline emergency decision-making). Like the immune barrier and stress response ability of organisms, it improves the accuracy of fault early warning to the top level in the industry, ensuring that individuals can still maintain core power generation functions in complex environments or system failures. It defines the industry standard for safe operation of bio-like power generation intelligent agents.

[0020] The core of this intelligent agent's bio-like characteristics lies in "autonomous adaptation and evolution": it adopts a bio-like closed loop of "energy supply - environmental perception - neural decision-making - collaborative survival" as the industry standard. While adhering to the core life goals of "efficient power generation and reliable operation" (with stable overall demand), it can also adapt to environmental variables such as hydrological fluctuations, grid peak shaving, and electricity price changes through neural network self-learning capabilities, achieving dynamic optimization of energy allocation and operational precision. Its deployment adaptability (one month of local scenario transfer learning) and multi-scenario applications (reservoirs, industrial, urban water supply and drainage, and various water pipelines) further strengthen the universality of the industry standard, making this "bio-like individual" a new industry benchmark for distributed power generation equipment, occupying the technological high ground and defining power in the field of intelligent power generation. Attached Figure Description

[0021] The present invention can be further illustrated by the non-limiting embodiments given in the accompanying drawings; Figure 1 This is a schematic diagram of the overall structure of an embodiment of the shaftless flange-type pipeline generator intelligent body of the present invention; Figure 2 This is a front view of an embodiment of the shaftless flange-type pipeline generator intelligent agent of the present invention; Figure 3 This is a cross-sectional view at point DD of an embodiment of the shaftless flange-type pipeline generator intelligent body of the present invention. Detailed Implementation

[0022] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be further described below with reference to the accompanying drawings and embodiments. The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0023] It should be noted that all directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of the present invention are only used to explain the relative positional relationship and movement of each component in a certain specific posture (as shown in the figure). If the specific posture changes, the directional indication will also change accordingly.

[0024] Furthermore, the use of terms such as "first" and "second" in this invention is for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined with "first" or "second" may explicitly or implicitly include at least one of those features. Additionally, the technical solutions of the various embodiments can be combined with each other, but only on the basis of being achievable by those skilled in the art. If the combination of technical solutions is contradictory or impossible to implement, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection claimed by this invention. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0025] like Figures 1-3 As shown, the shaftless rim-type pipeline generator intelligent body of the present invention includes a shaftless rim-type power generation module and an intelligent control module. The shaftless rim-type power generation module is used to execute power generation commands to realize the conversion of water flow potential energy into electrical energy; the intelligent control module is used to issue control power generation commands. The two are fixedly connected by stainless steel bolts. The protective shell of the intelligent control module is installed on the outside of the tubular housing. The wires are electrically connected through the waterproof sealing interface reserved in the housing. The data transmission rate is ≥10Mbps, realizing stable data interaction and command transmission. The intelligent control module includes a perception submodule, an analysis submodule, a hierarchical neural network learning submodule, a decision-making submodule, a collaboration submodule, and a security submodule. The perception submodule is used to collect multi-dimensional data; The analysis submodule filters, integrates, and performs trend analysis on the collected data, and outputs standardized analysis results. The hierarchical neural network learning submodule has a built-in lightweight LSTM neural network that receives analysis results and outputs optimal operating parameters, decision instructions and early warning information. The decision-making submodule outputs executable control commands to the shaftless wheel rim power generation module based on the neural network output and analysis results. The collaborative submodule is used to realize data interaction and command response between intelligent agents; The safety protection submodule is used to provide mechanical protection, electrical protection, and emergency control functions; Specifically, the intelligent control module comprehensively collects multi-dimensional data through the perception submodule, which, after preprocessing by the analysis submodule, inputs it into the hierarchical neural network learning submodule. The network outputs optimal decision suggestions based on the trained model, and the decision submodule converts these into control commands to drive the shaftless rim power generation module. The coordination submodule enables interaction with other intelligent agents, and the safety assurance submodule monitors the equipment status throughout the process, triggering protection mechanisms in case of abnormalities. Through the deep integration of modular intelligent control and the shaftless power generation module, the equipment possesses autonomous decision-making and coordination capabilities, significantly improving response speed, reducing fault misjudgment rate, and significantly enhancing operational flexibility and intelligence compared to traditional equipment. It can independently adapt to complex hydrological and power grid environments.

[0026] In the practical application of this embodiment, the shaftless rim power generation module includes a tubular housing 1, a shaftless rim rotor 2, an annular stator assembly 3, a self-lubricating bearing 4, power generation blades 5, a permanent magnet 6, a pressure sensor 7, a pipe 8, a guide vane 9, a regulating valve core 10, a support structure 11, a flow sensor 12, and an electromagnetic pulse valve 13. The pipe 8 is a water supply pipe with openings at both ends. One end of the pipe 8 near the middle has a tapered transition section, and the two ends are respectively connected to an external water supply pipe and a tubular housing 1. The guide vanes 9 are evenly distributed circumferentially along the inner wall of the tapered transition section of the pipe 8. One end is welded and fixed to the inner wall of the pipe 8, and the other end extends towards the tubular housing 1 to guide the water flow smoothly into the tubular housing 1. The tubular housing 1 is a hollow cylindrical structure, coaxially connected between the tapered transition sections of the two pipe sections 8, with its axis collinear with the axis of the pipe 8. The support structure 11 is a ring-shaped bracket, fixed to both ends of the inner wall of the tubular housing 1. Specifically, pipe 8 is a water supply pipe with openings at both ends, made of 304 stainless steel, with specifications ranging from DN300 to DN800. One end of pipe 8 near the middle has a tapered transition section with a 30° cone angle. Both ends are connected to the external water supply pipe and the tubular housing 1 via flanges. The flange gaskets are made of nitrile rubber. The guide vanes 9 are evenly distributed circumferentially along the inner wall of the tapered transition section of pipe 8, numbering 8-12 pieces. They are made of high-strength aluminum alloy, 8mm thick, with one end welded to the inner wall of pipe 8 with a weld height of 5mm, and the other end... The tubular housing 1 extends in one direction, with an extension length of 1 / 3 of the inner diameter of the pipe, to guide the water flow smoothly into the tubular housing 1; the tubular housing 1 is a hollow cylindrical structure, made of the same material as the pipe 8, with a wall thickness of 15-20mm, and coaxially connected between the tapered transition sections of the two pipe sections 8, with its axis collinear with the axis of the pipe 8, and a coaxiality error ≤0.1mm; the support structure 11 is an annular bracket, made of Q235 steel, with a thickness of 10-15mm, and fixed to both ends of the inner wall of the tubular housing 1 by bolts to enhance the structural stability of the housing; Working principle: After water enters through pipe 8, it is guided by the guide vane 9 of the conical transition section to form a stable axial water flow and avoid the generation of eddies; the tubular casing 1 and the support structure 11 together provide a stable installation foundation to ensure the operating accuracy of internal components; the guide vane 9 can reduce the turbulence of the water flow and reduce energy loss; the rigid design of the tubular casing and the support structure makes the vibration amplitude of the equipment ≤0.5g during operation, which improves the structural stability of traditional equipment and extends the service life of the equipment.

[0027] In the practical application of this embodiment, there are four self-lubricating bearings 4, which are respectively embedded in the four corners of the shaftless rim rotor 2; the shaftless rim rotor 2 has a ring structure and is coaxially sleeved in the internal cavity of the tubular housing 1, and is rotatably connected to the tubular housing 1 through the self-lubricating bearings 4; the power generation blades 5 are evenly distributed along the inner ring wall of the shaftless rim rotor 2, and the root of the blades is welded and fixed to the shaftless rim rotor 2; the permanent magnet 6 is fixed to the outer ring wall of the shaftless rim rotor 2.

[0028] Specifically, there are four self-lubricating bearings 4, which are SF-1 type oilless lubricating bearings with an inner diameter of 50mm, an outer diameter of 60mm, and a length of 80mm. They are respectively installed in the four corner mounting holes of the shaftless rim rotor 2, with a fitting clearance of 0.02-0.05mm. The shaftless rim rotor 2 is an annular structure made of high-strength aluminum alloy, with an outer diameter of 500-800mm, an inner diameter of 300-600mm, and a thickness of 50mm. It is coaxially fitted into the internal cavity of the tubular housing 1 and rotatably connected to the tubular housing 1 through a self-lubricating bearing 4, with a rotational accuracy of ≤0.2mm. The power generation blades 5 are evenly distributed circumferentially along the inner ring wall of the shaftless rim rotor 2, numbering 16-24, and are made of wear-resistant fiberglass with a blade thickness of 10mm. The roots are welded to the shaftless rim rotor 2, and the welds are inspected using non-destructive testing to ensure connection strength. The permanent magnets 6 are neodymium iron boron N52 type, numbering 36-72 pieces, each with a size of 50×20×10mm. They are fixed to the outer ring wall of the shaftless rim rotor 2 with epoxy resin, and adjacent permanent magnets are arranged with alternating polarities. Working principle: Water flow impacts the power generation blades 5, driving the shaftless rim rotor 2 to rotate around the self-lubricating bearing 4. The permanent magnet 6 on the outer ring of the rotor rotates synchronously, forming relative motion with the fixed annular stator assembly 3, cutting magnetic field lines to generate induced electrical energy. The shaftless structure eliminates the obstruction and friction of the central shaft. The shaftless design reduces water flow resistance and improves power generation efficiency, which is higher than that of traditional shafted generators. The self-lubricating bearing makes the friction coefficient ≤0.01, and the equipment maintenance cycle can be extended to more than 5 years.

[0029] In the practical application of this embodiment, the annular stator assembly 3 is fixed in the annular mounting groove on the inner wall of the tubular housing 1, and the inner annular surface of the annular stator assembly 3 is in clearance fit with the outer annular surface of the permanent magnet 6; the regulating valve core 10 is disposed on the water outlet side inside the tubular housing 1, and the support shaft of the regulating valve core 10 is rotatably connected to the inner wall of the tubular housing 1 to regulate the water flow rate inside the tubular housing 1; the pressure sensor 7 is installed on the side wall of the pipe 8 at the water inlet end of the tubular housing 1 and communicates with the inside of the pipe 8.

[0030] Specifically, the annular stator assembly 3 is fixed in the annular mounting groove on the inner wall of the tubular housing 1. The coaxiality error of the mounting groove is ≤0.1mm. The inner annular surface of the annular stator assembly 3 is clearance-fitted with the outer annular surface of the permanent magnet 6, with a clearance value of 0.5-1mm. The stator core of the annular stator assembly 3 is made of silicon steel sheets, with a sheet thickness of 0.35mm. The winding is made of copper wire with a diameter of 0.5mm and 1000 turns. The insulation class is F. The regulating valve core 10 is located on the water outlet side inside the tubular housing 1. It is made of wear-resistant ceramic. The valve core opening adjustment range is 0-100%. The support shaft is connected to the inner wall of the tubular housing 1 through a rolling bearing. The pressure sensor 7 is a diffused silicon type, model PTG501, with a range of 0-1MPa and an accuracy of ±0.5%FS. It is installed on the side wall of the pipe 8 at the water inlet end of the tubular housing 1 and is connected to the inside of the pipe 8 through a threaded interface. The sealing class is IP67. Working principle: The relative motion between the annular stator assembly 3 and the permanent magnet 6 realizes electromagnetic induction power generation. The pressure sensor 7 monitors the inlet water pressure in real time. When the pressure exceeds 0.8MPa, the decision submodule controls the regulating valve core 10 to increase the opening and reduce the pressure in the pipe. When the pressure is lower than 0.2MPa, the valve core opening is reduced to ensure the water flow speed required for power generation. The precise gap design between the stator and the permanent magnet ensures that the power generation efficiency is stable at over 85%. The linkage between pressure monitoring and flow regulation controls the pressure fluctuation range in the pipe within ±0.1MPa, avoiding equipment damage due to abnormal pressure and extending service life.

[0031] In the practical application of this embodiment, the flow sensor 12 is installed on the side wall of the pipe 8 at the water outlet end of the tubular housing 1 and is connected to the inside of the pipe 8; the intelligent control module also includes a computational control learning module 14 and a communication and collaboration module 15; The electromagnetic pulse valve 13 is fixed to the outer wall of the tubular housing 1, and the electromagnetic pulse valve 13 is connected to the regulating valve core 10; the signal input terminal of the operation control learning module 14 is connected to the pressure sensor 7, the flow sensor 12, and the annular stator assembly 3 respectively; the communication and coordination module 15 is connected to the internal circuit of the operation control learning module 14 and is equipped with an external antenna for data interaction and command transmission.

[0032] Specifically, the flow sensor 12 is an ultrasonic type, model TDS-100, with a measurement range of 0-10 m³ / s. It is installed on the side wall of the pipe 8 at the outlet end of the tubular housing 1, communicating with the inside of the pipe 8, and the installation angle is 45° with the pipe axis. The electromagnetic pulse valve 13 is model 2W-160-15, with a working pressure of 0.1-0.8 MPa. It is fixed to the outer wall of the tubular housing 1 and connected to the support shaft of the regulating valve core 10 via a connecting rod, used to drive the valve core to rotate. The core chip of the computing control learning module 14 is an ARM Cortex-A9 with a main frequency of 1GHz and built-in 512MB DDR3 memory. The signal input terminal is connected to the pressure sensor 7, flow sensor 12, and ring stator assembly 3 via shielded cables, with a sampling frequency of 10Hz. The communication and collaboration module 15 integrates an RS485 interface and a 5G IoT module. The RS485 transmission distance is ≤1000m, and the 5G... The IoT module supports SA / NSA dual-mode, with a data transmission rate of ≥10Mbps. It is equipped with an external omnidirectional antenna with a gain of 8dBi for data interaction and command transmission. Working principle: The flow sensor 12 collects the flow data at the outlet in real time, and transmits it together with the data from the pressure sensor 7 to the computing control learning module 14. After processing, the module outputs a control signal to the electromagnetic pulse valve 13, which drives the regulating valve core 10 to regulate the flow. The communication and collaboration module 15 realizes data interaction with other intelligent agents or control devices. The dual-parameter monitoring of flow and pressure significantly improves the accuracy of flow regulation compared to single-parameter control. The dual-mode design of the communication module increases the reliability of data transmission and is adaptable to various wired and wireless environments.

[0033] In practical applications of this embodiment, the sensing submodule is used to collect data related to hydrology, equipment operation, power grid, and economic policies. The hierarchical neural network learning submodule receives the analysis results and outputs the optimal operating parameters, decision instructions, and early warning information. The multi-dimensional protection of the safety protection submodule includes providing mechanical protection, electrical protection, and emergency control functions.

[0034] In practical applications of this embodiment, multiple shaftless flange-type pipeline generators are combined in parallel or series to adapt to pipeline systems with different water delivery scales. In the practical application of this embodiment, the data collected by the sensing submodule includes hydrological parameters, equipment operating status parameters, power grid operating parameters, and economic policy-related data. The data is transmitted to the analysis submodule and the hierarchical neural network learning submodule via wired or wireless means.

[0035] Specifically, wired transmission uses shielded twisted-pair cable with a transmission distance of ≤1000m and a data transmission rate of 100Mbps; wireless transmission supports LoRa and WiFi 6 dual-mode, with LoRa transmission distance of ≤3km and WiFi 6 transmission rate of ≥1Gbps, adapting to different installation environments; data transmission uses CRC32 checksum to ensure data integrity. Working principle: The data collected by the sensing submodule is converted from analog to digital and then transmitted via wired or wireless path according to the installation environment. The verification algorithm ensures that the data is transmitted to the analysis submodule and the hierarchical neural network learning submodule without errors. The dual-mode transmission design makes the device adaptable to different installation scenarios such as indoor and outdoor, long distance / short distance, which improves the adaptability compared to a single transmission method. The shielded cable and verification algorithm improve the anti-interference capability of data transmission and ensure the reliability of decision data.

[0036] In practical applications of this embodiment, the control commands output by the decision submodule include power generation adjustment commands and flow rate adjustment commands, thereby achieving precise control of equipment output and water flow distribution.

[0037] Specifically, the power generation regulation command has an adjustment range of 0-500kW and an adjustment accuracy of ±5kW; the flow rate regulation command has an adjustment range of 0.5-10m³ / s and an adjustment accuracy of ±0.1m³ / s; the regulation commands are transmitted to the actuator of the shaftless wheel flange power generation module via the CAN bus. Working principle: The decision submodule generates power generation and flow regulation commands based on the output and analysis results of the neural network. These commands are transmitted to the control unit of the electromagnetic pulse valve 13 and the ring stator assembly 3 via the CAN bus. The actuator adjusts the valve core opening and power generation according to the commands. Compared with traditional equipment, the control accuracy is improved, and it can accurately respond to the needs of power grid peak regulation and water inflow changes.

[0038] In practical applications of this embodiment, the safety protection submodule includes a mechanical protection unit, an electrical protection unit, and an emergency control unit; The mechanical protection unit is used to prevent impurities from entering and to prevent damage from overcurrent and overload; the electrical protection unit is used to prevent power grid abnormalities and equipment electrical faults; the emergency control unit includes manual control and offline emergency decision-making functions.

[0039] The above embodiments are merely illustrative of the principles and effects of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by those skilled in the art without departing from the spirit and technical concept disclosed in the present invention should still be covered by the claims of the present invention.

Claims

1. An intelligent agent for a shaftless rim generator pipeline, characterized by: The application relates to a power generation system, which comprises a shaftless wheel rim power generation module and an intelligent control module. The intelligent control module comprises a sensing sub-module, an analysis sub-module, a hierarchical neural network learning sub-module, a decision-making sub-module, a coordination sub-module and a security guarantee sub-module. The sensing sub-module is used for collecting multi-dimensional data. The analysis sub-module processes the collected data and outputs analysis results. The hierarchical neural network learning sub-module is internally provided with a neural network, receives the analysis results and outputs optimal results. The decision-making sub-module outputs control instructions to the shaftless wheel rim power generation module based on the neural network output and the analysis results. The coordination sub-module is used for realizing data interaction and instruction response among intelligent agents. The security guarantee sub-module is used for providing multi-dimensional protection.

2. The shaftless hub generator agent of claim 1, wherein: The shaftless wheel rim power generation module comprises a tubular casing (1), a shaftless wheel rim rotor (2), an annular stator assembly (3), self-lubricating bearings (4), power generation blades (5), permanent magnets (6), pressure sensors (7), pipes (8), guide vanes (9), adjusting valve cores (10), support structures (11), flow sensors (12) and electromagnetic pulse valves (13). The pipe (8) is a water conveying pipe with two open ends, one end near the middle of the pipe (8) is provided with a tapered transition section, and the two ends are respectively connected with external water conveying pipes and the tubular casing (1); the guide vanes (9) are uniformly distributed along the inner wall of the tapered transition section of the pipe (8), one end is welded and fixed with the inner wall of the pipe (8), and the other end extends to the tubular casing (1) and is used for guiding water flow to enter the tubular casing (1) smoothly; the tubular casing (1) is a hollow cylindrical structure coaxially connected between the tapered transition sections of the two pipes (8), and the axis is collinear with the axis of the pipe (8); the support structure (11) is an annular support fixed to the inner wall of the tubular casing (1).

3. The shaftless hub generator agent of claim 2, wherein: The self-lubricating bearings (4) are four, respectively embedded in four corners of the shaftless wheel rim rotor (2); the shaftless wheel rim rotor (2) is an annular structure coaxially sleeved in the internal cavity of the tubular casing (1) and rotatably connected with the tubular casing (1) through the self-lubricating bearings (4); the power generation blades (5) are uniformly distributed along the inner ring wall of the shaftless wheel rim rotor (2), the blade roots are welded and fixed with the shaftless wheel rim rotor (2), and the permanent magnets (6) are fixed to the outer ring wall of the shaftless wheel rim rotor (2).

4. The shaftless hub generator agent of claim 3, wherein: The annular stator assembly (3) is fixed in the annular mounting groove in the inner wall of the tubular casing (1), and the inner ring surface of the annular stator assembly (3) is in gap cooperation with the outer ring surface of the permanent magnet (6); the adjusting valve core (10) is arranged at the water outlet end in the tubular casing (1), the support shaft of the adjusting valve core (10) is rotatably connected with the inner wall of the tubular casing (1) and is used for adjusting the water flow in the tubular casing (1); and the pressure sensor (7) is installed on the side wall of the pipe (8) at the water inlet end of the tubular casing (1) and communicates with the inside of the pipe (8).

5. The shaftless hub generator agent of claim 4, wherein: The flow sensor (12) is installed on the side wall of the pipeline (8) at the water outlet end of the tubular casing (1) and communicates with the inside of the pipeline (8); the intelligent control module further comprises an operation control learning module (14) and a communication and cooperation module (15); The electromagnetic pulse valve (13) is fixed to the outer wall of the tubular casing (1) and is connected with the regulating valve core (10); the signal input end of the operation control learning module (14) is connected with the pressure sensor (7), the flow sensor (12) and the ring-shaped stator assembly (3); the communication and cooperation module (15) communicates with the internal circuit of the operation control learning module (14) and is equipped with an external antenna for data interaction and instruction transmission.

6. The shaftless hub generator intelligence of claim 1, wherein: The sensing sub-module is used for collecting hydrological, equipment operation, power grid and economic policy related data; The hierarchical neural network learning sub-module receives the analysis results and outputs optimal operation parameters, decision instructions and early warning information; The multi-dimensional protection of the safety guarantee sub-module includes mechanical protection, electrical protection and emergency control functions.

7. The shaftless hub generator intelligence of claim 1, wherein: Multiple shaftless rim type pipeline generators are combined in parallel or in series to adapt to pipeline systems of different water delivery scales.

8. The shaftless hub generator intelligence of claim 1, wherein: The data collected by the sensing sub-module includes hydrological parameters, equipment operation state parameters, power grid operation parameters and economic policy related data, which are transmitted to the analysis sub-module and the hierarchical neural network learning sub-module through wired or wireless means.

9. The shaftless hub generator intelligence of claim 1, wherein: The control instructions output by the decision sub-module include power generation power regulation instructions and flow regulation instructions, realizing precise control of equipment output and water flow distribution.

10. The shaftless hub generator intelligence of claim 6, wherein: The safety guarantee sub-module includes a mechanical protection unit, an electrical protection unit and an emergency control unit; The mechanical protection unit is used to prevent impurities from invading and prevent overcurrent overload damage; the electrical protection unit is used to avoid power grid abnormalities and equipment electrical faults; the emergency control unit includes manual control and offline emergency decision functions.

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