New energy station intelligent monitoring system

Abstract

The utility model discloses an intelligent monitoring system for a new energy station, which is applied to the technical field of new energy and comprises a data acquisition module, a data processing module, a data processing module, a data processing module and a video monitoring module, and the data acquisition module comprises an operation environment data acquisition module, an equipment operation data acquisition module, an external factor data acquisition module and a video monitoring module; the threshold value early warning module is used for performing threshold value early warning on the collected data according to a preset monitoring data threshold value; the data transmission module comprises a bus communication module and a wireless communication module, and is used for respectively carrying out monitoring data transmission of the near-distance new energy station and the long-distance new energy station; the data display module is used for displaying monitoring data of the new energy station, and the monitoring data comprises data acquired by the data acquisition module and threshold early warning information of the threshold early warning module; and the remote control module is used for performing corresponding remote control on the new energy station according to the monitoring data. According to the utility model, more accurate omnibearing monitoring and early warning of the new energy station are realized, and safe and efficient operation of the new energy station is ensured.

Description

Technical Field

[0001] This utility model relates to the field of new energy technology, and in particular to an intelligent monitoring system for new energy power stations. Background Technology

[0002] With the continuous growth of global energy demand and increasing emphasis on environmental protection, new energy sources, as an important alternative to traditional fossil fuels, have experienced rapid development. Solar and wind power, among other new energy sources, are seeing their share in the energy mix steadily rise due to their clean and renewable characteristics. New energy power plants, as key infrastructure for the development and utilization of new energy, are also expanding in scale and number. According to statistics from the International Energy Agency (IEA), global installed capacity of new energy power generation has grown at an average annual rate of over 10% in the past decade, with numerous large-scale new energy power plants being built and put into operation around the world. To ensure the safe and efficient operation of these power plants, real-time and accurate monitoring is crucial.

[0003] Therefore, how to provide an intelligent monitoring system for new energy power stations that can perform real-time and accurate monitoring to ensure the safe and efficient operation of new energy power stations is a problem that urgently needs to be solved by those skilled in the art. Utility Model Content

[0004] In view of this, this utility model proposes an intelligent monitoring system for new energy power stations.

[0005] To achieve the above objectives, the present invention adopts the following technical solution:

[0006] A smart monitoring system for new energy power stations includes: a data acquisition module, a threshold early warning module, a data transmission module, and a host computer including a data display module and a remote control module;

[0007] The data acquisition module includes: an operating environment data acquisition module, an equipment operation data acquisition module, an external factor data acquisition module, and a video monitoring module;

[0008] The threshold warning module is used to provide threshold warnings for the data collected by the data acquisition module based on preset monitoring data thresholds.

[0009] The data transmission module includes a bus communication module and a wireless communication module, used for monitoring data transmission of new energy power plants at short and long distances, respectively.

[0010] The data display module is used to display the monitoring data of the new energy power station, including: data collected by the data acquisition module and threshold warning information from the threshold warning module;

[0011] The remote control module is used to remotely control the new energy power station based on monitoring data.

[0012] Optional, the operating environment data acquisition module includes: wind speed sensors and wind direction sensors for wind power plants, and light intensity sensors for solar photovoltaic power plants.

[0013] Optionally, the equipment operation data acquisition module includes: temperature sensors and vibration sensors for wind power farms, and photovoltaic panel temperature sensors, current sensors, and voltage sensors for solar photovoltaic power plants.

[0014] Optionally, temperature sensors for wind farms include: temperature sensors for gearboxes, temperature sensors for bearings, and temperature sensors for generators.

[0015] Optional external factor data acquisition modules include: humidity sensors for inverters and distribution cabinets; water leakage sensors for distribution rooms and battery rooms; water level sensors for new energy power plants located in low-lying areas and near rivers and lakes; and SF6, carbon monoxide, and hydrogen sulfide sensors for control rooms and distribution rooms.

[0016] Optional video surveillance modules include: panoramic cameras installed at the entrances and exits of new energy power stations and in areas with concentrated large equipment; fixed bullet cameras installed in specific areas with high-precision monitoring requirements; and network dome cameras installed in the surrounding environment of the power station and temporary construction areas with flexible monitoring requirements.

[0017] Optionally, fixed bullet cameras may be installed in specific areas with high-precision monitoring requirements, including: fixed bullet cameras installed at the bottom of the wind turbine for clearly capturing images of the surface of the wind turbine tower, and fixed bullet cameras installed between photovoltaic panel arrays for real-time monitoring of the working status of the photovoltaic panels.

[0018] Optionally, the video surveillance module may also include: a video surveillance module based on a digital hard disk recorder, used for digital processing, storage, management, and early warning of the acquired video signals.

[0019] Optional bus communication modules include: RS485, CAN; wireless communication modules include: 4G / 5G, LoRa, NB-IoT.

[0020] Optional, remote control includes: automatic remote control of the intelligent monitoring system and manual remote control by staff.

[0021] As can be seen from the above technical solution, compared with the prior art, this utility model proposes an intelligent monitoring system for new energy power stations. Firstly, this utility model achieves more accurate and comprehensive monitoring and early warning of new energy power stations by integrating operating environment data, equipment operation data, external factor data, and video monitoring data. Secondly, this utility model sets up a bus communication module and a wireless communication module to transmit monitoring data between near-distance and long-distance new energy power stations respectively, ensuring the timeliness and reliability of monitoring data transmission for both near-distance and long-distance new energy power stations. Finally, based on monitoring and early warning data, this utility model sets up remote control methods including automatic remote control and manual remote control, which not only reduces the waste of human resources but also makes the control of new energy power stations more flexible. Attached Figure Description

[0022] To more clearly illustrate the technical solutions in the embodiments of this utility model or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of this utility model. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0023] Figure 1 This is a schematic diagram of the system structure of this utility model. Detailed Implementation

[0024] The technical solutions of the present utility model will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of the present utility model, and not all embodiments. Based on the embodiments of the present utility model, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the protection scope of the present utility model.

[0025] Example 1:

[0026] Embodiment 1 of this utility model discloses an intelligent monitoring system for new energy power stations, such as Figure 1 As shown, it includes: a data acquisition module, a threshold early warning module, a data transmission module, and a host computer that includes a data display module and a remote control module.

[0027] The data acquisition module includes: an operating environment data acquisition module, an equipment operation data acquisition module, an external factor data acquisition module, and a video monitoring module.

[0028] The operating environment data acquisition module includes: wind speed sensors and wind direction sensors for wind power plants, and light intensity sensors for solar photovoltaic power plants.

[0029] Wind speed sensors are used to measure real-time wind speed, providing a basis for the start-up, shutdown, and power regulation of wind turbines. For wind speed sensors, three-cup or propeller-type wind speed sensors are selected. These sensors have a simple structure, high measurement accuracy, and can accurately measure wind speed. Their measurement accuracy can reach ±0.1m / s, and the response time is within 1s. They can quickly capture changes in wind speed and provide timely data support for the operation and control of wind turbines.

[0030] Wind direction sensors are used to monitor wind direction and ensure that the wind turbine blades are always facing the best windward direction to improve wind energy capture efficiency. For wind direction sensors, a wind vane type is selected. By accurately measuring the wind direction, it is ensured that the wind turbine blades are always at the best windward angle to improve wind energy capture efficiency. Its measurement accuracy can generally reach ±3°.

[0031] The wind speed and wind direction sensors are installed on the mast at the top of the wind turbine, at a height above the turbine hub, to obtain accurate wind speed and wind direction data and to avoid being affected by the rotation of the turbine blades.

[0032] Light intensity sensors are used to measure solar radiation intensity, which is closely related to the power generation of photovoltaic panels. These sensors employ photodiodes or photoresistors, sensing changes in light intensity and outputting corresponding electrical signals. This allows for rapid and accurate measurement of solar radiation intensity, with a measurement accuracy of ±5W / m. 2 This provides an important basis for evaluating the power generation efficiency of photovoltaic panels.

[0033] The light intensity sensor is installed in an open, unobstructed location to accurately measure the intensity of solar radiation.

[0034] The equipment operation data acquisition module includes: temperature sensors and vibration sensors used in wind power plants, and photovoltaic panel temperature sensors, current sensors, and voltage sensors used in solar photovoltaic power plants.

[0035] Temperature sensors are used to monitor the temperature of various components of a wind turbine, preventing damage from overheating. Temperature sensors can be thermocouples or resistance temperature detectors (RTDs). Thermocouples utilize the thermoelectric effect of two different metals to convert temperature changes into a voltage signal; RTDs determine temperature by measuring the resistance value, based on the characteristic that resistance changes with temperature. Thermocouples offer advantages such as fast response and a wide measurement range, accurately measuring temperatures from -200℃ to 1300℃, meeting the temperature monitoring needs of various wind turbine components. RTDs, with their high measurement accuracy and stability, are commonly used in applications requiring high temperature measurement precision, such as monitoring the temperature of generator windings.

[0036] Temperature sensors in wind farms are installed at the locations of components that need to be monitored, including temperature sensors for gearboxes, bearings, and generators, to monitor the temperature status of the equipment in real time.

[0037] Vibration sensors, installed on critical components of the wind turbine, such as gearboxes and generators, monitor the equipment's vibration in real time. By analyzing the vibration data, potential equipment failures, such as component loosening or wear, can be detected early. Piezoelectric vibration sensors are used, characterized by high sensitivity and a wide frequency response. They can detect minute vibration changes or accelerations in the equipment, and can measure parameters such as vibration amplitude and frequency, enabling early detection of potential faults. Their sensitivity can reach over 100mV / g, effectively monitoring abnormal vibration conditions in the equipment.

[0038] Photovoltaic panel temperature sensors are used to monitor the operating temperature of photovoltaic panels. Excessive temperature can reduce the power generation efficiency of photovoltaic panels, and real-time temperature monitoring allows for the implementation of appropriate heat dissipation measures. These sensors also employ thermistors, which are small in size and have a fast response time, enabling real-time monitoring of the photovoltaic panel's operating temperature and timely detection of power generation efficiency reductions caused by overheating.

[0039] The photovoltaic panel temperature sensor is installed on the back of the photovoltaic panel, close to the solar cells, to accurately measure the operating temperature of the photovoltaic panel.

[0040] Current and voltage sensors are installed at the input and output terminals of the photovoltaic inverter to measure the current and voltage of the photovoltaic system, thereby calculating the power generation of the solar panels, the efficiency of the photovoltaic inverter, and evaluating the power generation performance of the photovoltaic power station. The current sensor uses a Hall effect current sensor, which has the advantages of good isolation performance and fast response speed, and can accurately measure currents of different magnitudes. The voltage sensor uses a resistive voltage divider or transformer type to meet the measurement requirements of different voltage levels.

[0041] The external factor data acquisition module includes: humidity sensors for inverters and distribution cabinets, water leakage sensors for distribution rooms and battery rooms, water level sensors for new energy power plants located in low-lying areas and near rivers and lakes, and SF6, carbon monoxide, and hydrogen sulfide sensors for control rooms and distribution rooms.

[0042] External factors affecting renewable energy power plants include humidity, water leakage, water level, and harmful gases such as SF6, carbon monoxide, and hydrogen sulfide. Humidity has a significant impact on the equipment in these plants. Excessive humidity can cause condensation on equipment surfaces, leading to electrical short circuits and accelerating corrosion of metal components, thus shortening equipment lifespan. Therefore, humidity sensors are used in renewable energy power plants for electrical equipment with strict humidity requirements, such as inverters and distribution cabinets, to control relative humidity within the range of 20%-80%. When relative humidity exceeds 85%, dehumidification equipment needs to be activated promptly to reduce ambient humidity and ensure safe equipment operation. This is especially important for renewable energy power plants in coastal areas where air humidity is high. When selecting humidity sensors, capacitive humidity sensors with fast response and high measurement accuracy (up to ±2% RH) are preferred, meeting the accuracy requirements for humidity monitoring in renewable energy power plants while also being cost-effective. Humidity sensors should be installed in well-ventilated locations, avoiding dead corners or proximity to water sources to ensure accurate measurement data.

[0043] Leaks and water levels are also significant concerns. In areas prone to leaks, such as power distribution rooms and battery rooms in new energy power plants, leaks can cause serious damage to equipment. Installing leak sensors allows for timely detection of potential leaks, enabling appropriate repairs and preventing equipment damage from water immersion. For new energy power plants located in low-lying areas or near rivers, lakes, or other bodies of water, water level monitoring is particularly crucial. When water levels exceed warning levels, they can threaten the plant's equipment and facilities. Real-time water level monitoring and the setting of early warning thresholds allow for proactive flood prevention and control, ensuring the safety of the new energy power plant. The leak sensors used are immersion sensors. Their working principle involves a signal change generated when the sensor comes into contact with water, due to the continuity or disconnection between electrodes, thus detecting leaks. These sensors offer high sensitivity and fast response, enabling timely detection of potential leaks. The water level sensor uses either an ultrasonic water level sensor or a pressure water level sensor. The ultrasonic water level sensor calculates the water level by emitting and receiving ultrasonic signals and measuring the distance between the sensor and the water surface. It offers advantages such as non-contact measurement, high accuracy, and easy installation. The pressure water level sensor calculates the water level by measuring the liquid pressure, based on the relationship between liquid pressure and water level. It features high measurement accuracy and good stability. Leakage sensors are installed on the ground or at the bottom of walls to detect leaks promptly. Water level sensors are installed near water bodies or in low-lying areas of the facility to ensure accurate water level measurement.

[0044] Hazardous gas monitoring is also crucial for ensuring the health of staff and the normal operation of equipment in new energy power plants. Some equipment in these plants may generate hazardous gases during operation, such as SF6, carbon monoxide, and hydrogen sulfide. SF6 is commonly used in high-voltage electrical equipment as an insulation and arc-quenching medium; however, when equipment malfunctions, SF6 may leak out, and its decomposition products are toxic and harmful to human health. Carbon monoxide and hydrogen sulfide are also common hazardous gases that not only threaten human health but can also corrode metal components of equipment. Therefore, installing hazardous gas sensors in new energy power plants to monitor their concentration in real time is essential. When the concentration exceeds a safe threshold, an alarm should be issued promptly, and ventilation and other measures should be taken to ensure the safety of staff and the normal operation of equipment. For SF6 gas monitoring, infrared absorption sensors are selected. These sensors utilize the absorption characteristics of SF6 gas to specific wavelengths of infrared light to detect its concentration, offering advantages such as high sensitivity and good selectivity. For monitoring gases such as carbon monoxide and hydrogen sulfide, electrochemical sensors are selected. These sensors generate electrical signals through chemical reactions to detect gas concentrations, and are characterized by high measurement accuracy and fast response speed.

[0045] The video surveillance module includes: panoramic cameras installed at the entrances and exits of new energy power stations and in areas with concentrated large equipment; fixed bullet cameras installed in specific areas with high-precision monitoring needs; and network dome cameras installed in the surrounding environment of the power station and temporary construction areas with flexible monitoring needs.

[0046] Fixed bullet cameras are installed in specific areas with high-precision monitoring requirements, including: fixed bullet cameras installed at the bottom of wind turbines to clearly capture the surface of wind turbine towers, and fixed bullet cameras installed between photovoltaic panel arrays to monitor the working status of photovoltaic panels in real time.

[0047] Panoramic cameras offer a wide field of view, enabling panoramic monitoring of large areas. Located at the entrances and exits of new energy power plants and in areas with concentrated large equipment, panoramic cameras can capture the real-time dynamics of personnel and equipment throughout the area, providing comprehensive information support for the safety management and operational scheduling of the plant. Employing fisheye lenses or multi-lens stitching technology, they can achieve 360-degree or 180-degree panoramic coverage, allowing monitoring personnel to have a clear overview of the entire monitored area.

[0048] Fixed bullet cameras offer a fixed monitoring range and high image clarity, making them suitable for focused monitoring of specific areas. Installing a fixed bullet camera at the base of a wind turbine allows for clear imaging of the turbine tower's surface, promptly detecting issues such as cracks and corrosion. Installing fixed bullet cameras between photovoltaic panel arrays enables real-time monitoring of the panels' operational status, accurately identifying any abnormalities such as damage or hot spots. The lens focal length and angle of view of fixed bullet cameras can be selected according to actual monitoring needs to meet the requirements of different scenarios.

[0049] Network dome cameras feature rotation and zoom capabilities, enabling comprehensive, multi-angle monitoring of the monitored area. For areas in renewable energy plants requiring flexible monitoring, network dome cameras can be remotely controlled to rotate 360 ​​degrees horizontally and 180 degrees vertically, quickly adjusting the monitoring angle for detailed observation of the target area. They possess optical and digital zoom functions, allowing for magnification of targets at long distances to obtain clear image details. Network dome cameras also support preset position functions, allowing multiple monitoring positions to be pre-set. A single click allows for quick switching to a designated location, improving monitoring efficiency.

[0050] Based on the aforementioned video surveillance module, this invention also employs a video surveillance module based on a digital video recorder (DVR). The DVR is responsible for the digital processing, storage, management, and early warning of video signals acquired by the video surveillance equipment. It converts analog video signals into digital signals and performs compression encoding to reduce the storage space of video data. The DVR supports multiple video inputs and can connect to multiple cameras simultaneously, enabling centralized monitoring of multiple monitoring points. Through the DVR, monitoring personnel can view the monitoring footage from each camera in real time, perform real-time playback and rewind operations, facilitating the tracing and analysis of historical events. The DVR also has an alarm linkage function; when the monitoring system detects abnormal situations, such as equipment failure or personnel intrusion, the DVR can automatically trigger an alarm and lock and save the relevant video footage, providing important evidence for subsequent accident investigations.

[0051] The threshold warning module is used to provide threshold warnings for the data collected by the data acquisition module based on preset monitoring data thresholds.

[0052] The data transmission module includes a bus communication module and a wireless communication module, which are used for monitoring data transmission of new energy power plants at short and long distances, respectively.

[0053] Bus communication modules include RS485 and CAN; wireless communication modules include 4G / 5G, LoRa, and NB-IoT.

[0054] The RS485 bus, with its long transmission distance and strong anti-interference capabilities, is suitable for connecting sensors to local data acquisition devices. The CAN bus, with its high reliability and real-time performance, is widely used in industrial automation and can be used to connect devices with high real-time data transmission requirements. 4G / 5G networks offer high speed and low latency, meeting the real-time transmission needs of large data volumes, enabling maintenance personnel to obtain high-definition video monitoring images and large amounts of equipment operation data from new energy power plants in real time. LoRa technology, with its low power consumption and long-distance transmission capabilities, is suitable for scenarios where data transmission rates are not high but long distances are required, such as data transmission between meteorological monitoring stations in remote areas and power plant monitoring centers. NB-IoT technology, with its low power consumption, wide coverage, and low cost, is suitable for connecting small, low-power sensor devices, such as smart meters and water meters, to achieve remote monitoring of device status. To ensure data transmission reliability, redundant communication links can be used. When one communication link fails, the system can automatically switch to a backup link to ensure uninterrupted data transmission.

[0055] The data display module is used to display monitoring data of new energy power stations, including data collected by the data acquisition module and threshold warning information from the threshold warning module.

[0056] The remote control module is used to remotely control the new energy power station based on monitoring data.

[0057] Remote control includes automatic remote control of the intelligent monitoring system and manual remote control by staff, such as opening and closing the fan, adjusting the angle of the fan blades, controlling the output power of the photovoltaic inverter, and controlling the dehumidification equipment. This not only reduces the waste of human resources, but also makes the control of the new energy power station more flexible.

[0058] This utility model discloses an intelligent monitoring system for new energy power stations. By integrating operating environment data, equipment operation data, external factor data, and video surveillance data, and utilizing communication and wireless communication modules, it transmits monitoring data from new energy power stations at both near and long distances. Based on the monitoring and early warning data, the system enables automatic and manual remote control of the power stations, achieving more precise and comprehensive monitoring and early warning. It also ensures the timeliness and reliability of monitoring data transmission for both near and long-distance power stations, reduces waste of human resources, and makes the control of new energy power stations more flexible.

[0059] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatus disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the description is relatively simple; relevant parts can be referred to the method section.

[0060] The above description of the disclosed embodiments enables those skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A smart monitoring system for new energy power stations, characterized in that, include: The system includes a data acquisition module, a threshold warning module, a data transmission module, and a host computer that includes a data display module and a remote control module. The data acquisition module includes: an operating environment data acquisition module, an equipment operation data acquisition module, an external factor data acquisition module, and a video monitoring module; The threshold warning module is used to provide threshold warnings for the data collected by the data acquisition module based on a preset monitoring data threshold. The data transmission module includes a bus communication module and a wireless communication module, used for transmitting monitoring data of new energy power stations at short and long distances, respectively. The data display module is used to display monitoring data of the new energy power station, including: data collected by the data acquisition module and threshold warning information from the threshold warning module; The remote control module is used to remotely control the new energy power station based on the monitoring data.

2. The intelligent monitoring system for new energy power stations according to claim 1, characterized in that, The operating environment data acquisition module includes: a wind speed sensor and a wind direction sensor for wind power plants, and a light intensity sensor for solar photovoltaic power plants.

3. The intelligent monitoring system for new energy power stations according to claim 1, characterized in that, The equipment operation data acquisition module includes: temperature sensors and vibration sensors for wind power plants, and photovoltaic panel temperature sensors, current sensors, and voltage sensors for solar photovoltaic power plants.

4. The intelligent monitoring system for new energy power stations according to claim 3, characterized in that, The temperature sensors for the wind farm include: a temperature sensor for the gearbox, a temperature sensor for the bearing, and a temperature sensor for the generator.

5. The intelligent monitoring system for new energy power stations according to claim 1, characterized in that, The external factor data acquisition module includes: humidity sensors for inverters and distribution cabinets, water leakage sensors for distribution rooms and battery rooms, water level sensors for new energy power stations located in low-lying areas and near rivers and lakes, and SF6, carbon monoxide, and hydrogen sulfide sensors for control rooms and distribution rooms.

6. The intelligent monitoring system for new energy power stations according to claim 1, characterized in that, The video surveillance module includes: panoramic cameras installed at the entrances and exits of the new energy power station and in areas with concentrated large equipment; fixed bullet cameras installed in specific areas with high-precision monitoring requirements; and network dome cameras installed in the surrounding environment of the power station and temporary construction areas with flexible monitoring requirements.

7. The intelligent monitoring system for new energy power stations according to claim 6, characterized in that, The fixed bullet camera set in a specific area with high-precision monitoring requirements includes: a fixed bullet camera set at the bottom of the wind turbine for clearly capturing the surface of the wind turbine tower, and a fixed bullet camera set between the photovoltaic panel arrays for real-time monitoring of the working status of the photovoltaic panels.

8. The intelligent monitoring system for new energy power stations according to claim 1, characterized in that, The video surveillance module further includes: a video surveillance module based on a digital hard disk recorder, used for digital processing, storage, management, and early warning of the acquired video signals.

9. The intelligent monitoring system for new energy power stations according to claim 1, characterized in that, The bus communication module includes RS485 and CAN; the wireless communication module includes 4G / 5G, LoRa, and NB-IoT.

10. The intelligent monitoring system for new energy power stations according to claim 1, characterized in that, The remote control includes: automatic remote control of the intelligent monitoring system and manual remote control by staff.

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