Wind power hoisting early warning system

Abstract

The utility model discloses a wind power hoisting early warning system, which belongs to the technical field of wind power hoisting, and comprises a monitoring subsystem, a data processing subsystem, an alarm subsystem, a monitoring center and a communication subsystem, the subsystems are matched to obtain data of specified hoisting equipment in the hoisting process in real time, and the data is compared with a safety threshold value, so that the safety of the hoisting equipment is ensured. And judging whether the hoisting operation meets the standard or not, and giving out early warning when the hoisting operation does not meet the standard. According to the utility model, the safety of hoisting operation can be effectively guaranteed.

Description

Technical Field

[0001] The utility model belongs to the technical field of wind power hoisting, and in particular relates to a wind power hoisting early warning system. Background Art

[0002] The wind turbine installation environmental warning system is a technology that provides environmental warnings for the installation and maintenance of wind turbines in wind farms. Since wind turbine installation sites are often located in complex terrain and meteorological conditions, such as at sea or in mountainous areas, the environmental conditions in these places may be unstable and change rapidly, which poses a great challenge to the installation and maintenance of wind turbines.

[0003] With the continuous development of wind power hoisting operations, the environmental safety requirements for the operation site are getting higher and higher. Hoisting operations in extreme environments such as strong winds will cause great losses if a safety accident occurs. Therefore, there is an urgent need for a wind power hoisting environmental early warning system to monitor the hoisting environment in real time, issue alarms in time and take corresponding measures to ensure the safety and stability of the hoisting environment process. Summary of the invention

[0004] The purpose of the utility model is to overcome the defects of the prior art and provide a wind power hoisting early warning system, acquire monitoring data in real time, analyze and compare the detection data, and ensure that the hoisting operation process complies with the specifications.

[0005] The purpose of the utility model is achieved through the following technical solutions:

[0006] A wind power hoisting early warning system, the early warning system is used to give early warning for wind power hoisting operations, the early warning system comprises:

[0007] A monitoring subsystem, the monitoring subsystem comprising a wind tower, a displacement sensor and monitoring equipment, and used to obtain designated monitoring data generated during the hoisting process;

[0008] A data processing subsystem, the data processing subsystem includes a data processing host, which is used to receive the specified monitoring data and perform data analysis to determine whether there is a risk;

[0009] An alarm subsystem, the alarm subsystem receives an alarm instruction issued by the data processing subsystem when it is determined that there is a risk, and issues a warning;

[0010] A monitoring center, the monitoring center is used to display the monitoring images acquired by the monitoring equipment in real time;

[0011] A communication subsystem, wherein the communication subsystem is used to realize data communication among the monitoring subsystem, the data processing subsystem, the monitoring center and the alarm subsystem.

[0012] Furthermore, the displacement sensor includes an annular displacement sensor, and the annular displacement sensor is installed on a designated lifting device.

[0013] Furthermore, the monitoring device includes at least one first camera and at least one second camera, the first camera is fixedly installed on the lifting rope, and the second camera is fixedly installed on the ground.

[0014] Furthermore, the first camera cooperates with the hook on the hoisting equipment through a reinforcement bracket, so that the first monitoring camera is fixed on the top of the wind power hoisting rope.

[0015] Furthermore, the data processing subsystem includes a digital signal processor with noise filtering and signal amplification functions.

[0016] Furthermore, the communication subsystem uses LoRa wireless transmission equipment to realize information transmission.

[0017] On the other hand, the utility model further provides a wind power hoisting early warning method, the method is implemented based on any of the above-mentioned wind power hoisting early warning systems, the method comprising:

[0018] The wind speed is obtained through the wind tower. When the average wind speed within a preset period exceeds 10m / s or the gust wind speed within a preset period exceeds 12m / s, the data processing subsystem sends an alarm command to the alarm subsystem, issuing a warning not to install the tower;

[0019] The displacement change of the designated lifting equipment is obtained in real time through the displacement sensor, and the displacement amplitude of the designated lifting equipment is calculated through the data processing subsystem. If the displacement amplitude is within the preset amplitude threshold range, it is judged to comply with the lifting specifications. Otherwise, it is judged to be inconsistent with the lifting specifications, and an alarm instruction is sent to the alarm subsystem to issue a warning of lifting non-compliance;

[0020] The monitoring equipment is used to obtain real-time images of the lifting operation, and the monitoring images are transmitted to the monitoring center for display.

[0021] Furthermore, the method also includes recording and backing up the surveillance images for subsequent analysis and review.

[0022] The beneficial effects of the utility model are:

[0023] The utility model adopts a series of modern technical means, including data collection, processing, pre-data storage and management, to achieve real-time monitoring and early warning during wind power installation. At the same time, in order to ensure the reliability and stability of the system, the system establishes a complete infrastructure environment and adopts corresponding security measures to ensure the operation of the system and the security of data. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 It is the general topology diagram of the wind power hoisting warning system of the embodiment of the utility model. DETAILED DESCRIPTION

[0025] The following describes the implementation of the present invention through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific implementations, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the following embodiments and features in the embodiments can be combined with each other without conflict.

[0026] Based on the embodiments of the present utility model, all other embodiments obtained by ordinary technicians in the field without making any creative work shall fall within the scope of protection of the present utility model.

[0027] With the continuous development of wind power hoisting operations, the environmental safety requirements for the operation site are getting higher and higher. Hoisting operations in extreme environments such as strong winds will cause great losses if a safety accident occurs. Therefore, there is an urgent need for a wind power hoisting environmental early warning system to monitor the hoisting environment in real time, issue alarms in time and take corresponding measures to ensure the safety and stability of the hoisting environment process.

[0028] In order to solve the above technical problems, the following embodiments of the wind power hoisting warning system of the present invention are proposed.

[0029] This embodiment provides an environmental monitoring, early warning and feedback system for wind power hoisting operations, including modules such as environmental monitoring, data processing, early warning feedback and display control. The environmental monitoring module is used to monitor the environment of the wind power hoisting site in real time; the data processing module compares the offset amplitude of the monitored hoisted objects and accessories such as hoists and slings with the safety threshold range to determine whether there are safety hazards. When the collected data parameters exceed the set safety threshold or there are other safety hazards, the early warning feedback module takes action, issues an alarm in time, and sends early warning information to relevant personnel so that timely measures can be taken to ensure the safety of the hoisting operation. The display control module is used to display monitoring data and early warning information to facilitate monitoring and processing by operators.

[0030] It should be noted that the above safety thresholds are set according to the following standards:

[0031] (1) National standard: GB / T 30981-2014 “Safety Specification for Wind Farm Construction”, which specifies various aspects of wind farm construction safety, including safety requirements for hoisting, stacking, transportation, etc.

[0032] (2) Industry standards: DL / T 5315-2010 Technical Specifications for Wind Farm Safety Monitoring Systems, which specifies the technical specifications for wind farm safety monitoring systems, including requirements for monitoring, early warning and feedback of the hoisting environment.

[0033] (3) International standards: IEC 61400-1 "Wind turbines - Part 1: Design", IEC 61400-3 "Wind turbines - Part 3: Design requirements for wind energy resources", etc. This standard is mainly applicable to wind farm design and operation management.

[0034] Additional standards may be set as needed, such as those established within the enterprise.

[0035] Reference Figure 1 ,like Figure 1 Shown is the overall topology diagram of the wind power installation warning system of this embodiment.

[0036] Among them, monitoring equipment is the core of the wind power hoisting early warning system, including wind measurement towers, various sensors and cameras installed on hoisting equipment, etc., which need to be selected and arranged according to the actual situation of the hoisting environment and monitoring needs.

[0037] In the process of wind power hoisting, in order to ensure safety and reliability, displacement sensors are needed to monitor the displacement changes during the hoisting process. The installation position of the displacement sensor can accurately reflect the displacement changes of key parts during the hoisting process. By monitoring the displacement amplitude of the hoisted object, it is determined whether the condition meets the hoisting specifications.

[0038] In this embodiment, the displacement sensor is installed at the lifting hook, and an annular displacement sensor is used. The annular displacement sensor is a device for measuring mechanical movement. It usually consists of an annular magnet and a coil wound around the annular magnet. When the mechanical part moves, the annular magnet also moves, causing the induced voltage in the coil to change. By measuring this change, the displacement of the mechanical movement can be determined. The annular displacement sensor has the advantages of high precision, stability and reliability.

[0039] During the wind power hoisting process, in order to ensure safety and successfully complete the task, the hoisting process needs to be monitored in real time, among which the placement of the monitoring camera is a very important factor.

[0040] The placement of the surveillance camera should be adjusted according to the type and size of the hoisting equipment. For example, for smaller equipment, you can use a camera fixed on the ground for monitoring, while for larger equipment, you need to use a camera on the hoisting equipment for real-time monitoring.

[0041] The placement of surveillance cameras should ensure that they can fully cover all parts of the hoisting equipment and can see the details of key parts. When placing surveillance cameras, factors such as the angle, height and placement of the camera should be considered to maximize coverage of the entire hoisting area.

[0042] During the wind turbine installation process, weather factors have a great impact on the safety and efficiency of the installation operation. When placing surveillance cameras, wind speed and weather factors need to be considered to ensure the stability and clarity of the camera. For example, in strong winds, measures such as reinforced brackets and hooks on the lifting equipment can be used to ensure the stability and operation of the camera.

[0043] The placement of surveillance cameras should also take into account the needs of real-time monitoring and video backup. When choosing a location, you should ensure that the camera can transmit surveillance images to the monitoring center in real time and can back up the video for subsequent analysis and review.

[0044] To ensure comprehensive monitoring coverage, the location and number of monitoring cameras need to be considered to ensure that all directions and key nodes can be fully monitored during the hoisting process; to ensure clear monitoring effects, the location of the monitoring camera should be selected in an open position as much as possible to avoid obstructions and ensure that the monitoring picture is clear, so as to ensure that the potential safety hazards in the hoisting process are discovered and handled in a timely manner; to ensure the safety of the camera, the installation location of the camera should take safety factors into consideration, for example, to prevent the camera from being accidentally hit or damaged, or maliciously destroyed, etc. At the same time, the waterproof and dustproof capabilities of the monitoring equipment must be ensured to adapt to the complex environment of the wind farm. After comprehensive consideration, the camera is installed at the top of the wind power hoisting rope, that is, at the hook. This can ensure the maximum field of view, cover the area that needs to be monitored, and also ensure safety and stability. It can be considered to use a clip or bracket to cooperate with the hook to fix the camera on the hoisting rope. When selecting a clip or bracket, pay attention to its material and quality to ensure that it can withstand high-intensity vibration and wind force, and also ensure that the installation method of the clip or bracket will not affect the strength and stability of the sling.

[0045] The data collected by the monitoring equipment needs to be collected, transmitted and stored. Wireless transmission or wired transmission can be used, and there are also many options for data storage, such as cloud storage or local storage.

[0046] The transmission device is used to transmit the data collected by the displacement sensor device to other devices or computers. During the wind power hoisting process, since the equipment needs to be operated at high altitude, traditional wired transmission equipment is difficult to meet the transmission requirements, so wireless transmission equipment is more suitable for this application scenario. The following factors need to be considered when selecting wireless transmission equipment:

[0047] Transmission distance: It is necessary to select equipment with a longer transmission distance to meet the requirements of signal transmission during high-altitude operations.

[0048] Transmission stability: During high-altitude operations, the environment is complex and it is necessary to select equipment with high stability to ensure the reliability of transmission signals.

[0049] Transmission rate: You need to choose a device with a faster transmission rate to ensure the real-time transmission of data.

[0050] Based on the above considerations, LoRa technology is a wireless transmission device suitable for the application of displacement sensors in the process of wind power hoisting. It has the characteristics of long-distance transmission, low power consumption, strong anti-interference ability, etc., and can achieve reliable data transmission in complex environments. At the same time, the transmission rate of LoRa technology is also fast, which can meet the requirements of real-time data transmission.

[0051] The data processor is a computer device used to process the data collected by the displacement sensor device. The device can perform data analysis, visualization, and storage. In this embodiment, several factors need to be considered when selecting a data processor:

[0052] Anti-interference ability: Since the on-site environment of a wind farm is noisy, there will be a lot of electromagnetic interference and vibration interference, so it is necessary to select a data processor with good anti-interference ability.

[0053] Real-time performance: The data processing of displacement sensors in wind power hoisting environments needs to have good real-time performance, and be able to process and feedback data in real time to ensure the safety and effectiveness of hoisting operations.

[0054] Data accuracy: The displacement sensor data processor needs to have high-precision data processing capabilities, be able to accurately record and analyze displacement data, and provide precise guidance and guarantees for lifting operations.

[0055] Based on the above factors, some displacement sensor data processors with better performance can be selected, such as:

[0056] Digital signal processor (DSP) with noise filtering and signal amplification functions;

[0057] Industrial PCs (IPCs) specifically designed for industrial automation and robotics control;

[0058] Embedded systems with high-speed data acquisition and real-time computing capabilities;

[0059] Chips specially designed for displacement sensor data processing, such as TI's ADS1248.

[0060] As an implementation method, this embodiment selects Hikvision surveillance cameras for wind power hoisting monitoring and analysis. Safety is of vital importance in the hoisting operation of a wind farm. Using surveillance cameras can monitor and record the operation site in real time to ensure the safety and smooth progress of the operation.

[0061] Specifically, surveillance cameras can be installed on the hoisting equipment to record the entire hoisting process and provide a variety of monitoring functions, such as real-time video monitoring, remote monitoring, cloud storage, etc. In terms of monitoring data analysis, an artificial intelligence video analysis system is provided, which can intelligently identify, analyze and warn the monitoring video, greatly improving the efficiency and accuracy of the monitoring system.

[0062] Through the application of Hikvision surveillance cameras, real-time monitoring and data analysis of the wind power installation process can be achieved, effectively improving the operating efficiency and safety level of the wind farm.

[0063] In this embodiment, the system software and hardware operating environment is as follows:

[0064] (1) Software operating environment:

[0065] Adopt efficient and reliable software system to realize functions such as data processing, early warning, feedback and remote monitoring.

[0066] a. Operating system: The system's software may need to run on multiple operating systems, such as Windows, Linux, Unix, etc.

[0067] b. Database: The system needs to store various data generated during the hoisting process, such as hoisting height, hoisting weight, displacement distance of the hoisted object in various directions during the hoisting process, monitoring equipment storage data, etc. Therefore, the system needs to interact with one or more databases, such as MySQL, Oracle, SQL Server, etc.

[0068] c. Programming language: The system may use multiple programming languages ​​to implement different functions, such as Java, C++, Python, etc.

[0069] d. Communication protocol: The system needs to communicate with other devices through the network, such as sensors, monitoring equipment, etc. Therefore, the system needs to support multiple communication protocols, such as TCP / IP, Modbus, CAN, etc.

[0070] e. Web server: If you need to perform operations such as data visualization or data query through the Web interface, you need to choose a suitable Web server, such as Apache, Nginx, etc.

[0071] (2) Hardware operating environment:

[0072] Use high-quality sensors and monitoring equipment to ensure data accuracy and stability.

[0073] a. Sensor: The system needs to use multiple sensors to obtain various data during the lifting process, such as displacement sensors and monitoring equipment.

[0074] Communication environment: Use stable and reliable network communication technology to ensure the real-time and accuracy of data transmission.

[0075] b. Communication equipment: The system needs to use communication equipment to communicate with other devices, such as WiFi, Bluetooth, ZigBee, LoRa, etc.

[0076] c. Power supply equipment: The system needs to use a stable power supply equipment to ensure the normal operation of the system. In outdoor environments such as wind farms, it is also necessary to consider using power supply equipment with a high protection level.

[0077] In general, the software and hardware operating environment of the wind power installation warning system needs to consider a variety of factors, including operating system, programming language, communication protocol, sensor, controller, communication equipment, power supply equipment, etc. These factors need to be fully considered when designing the system to ensure the stability, reliability and efficiency of the system.

[0078] In this embodiment, the overall business architecture of the wind power installation early warning system is as follows:

[0079] (1) Data acquisition layer: The data that the acquisition system needs to collect includes displacement sensor data on the hoisted objects in the wind farm, monitoring equipment monitoring data, etc. Data acquisition is achieved through sensors and other equipment, and the data is transmitted to the data processing layer.

[0080] (2) Data processing layer: The collected data is processed, stored, analyzed and calculated, and early warning calculations are performed according to the set early warning rules. This layer mainly includes three modules: data storage, data analysis and early warning calculation.

[0081] (3) Early warning management: Based on the early warning calculation results, the early warning information will be promptly notified to relevant personnel, including wind farm managers, hoisting operators, etc., so that timely measures can be taken to reduce construction risks.

[0082] (4) User interface layer: provides users with a visual operation interface, including various reports, early warning information display and other functions.

[0083] (5) System support layer: including system security, monitoring, backup, logging and other infrastructure support.

[0084] The wind power hoisting early warning system adopts a distributed architecture and has the characteristics of high availability, high performance, and high security. Through the collaborative operation of modules at all levels, it can achieve rapid response and early warning processing of hoisting operation risks, and improve the safety and efficiency of wind farm hoisting operations.

[0085] This embodiment adopts a series of modern technical means, including data collection, processing, pre-data storage and management, to achieve real-time monitoring and early warning during wind power installation. At the same time, in order to ensure the reliability and stability of the system, the system establishes a complete infrastructure environment and adopts corresponding security measures to ensure the operation of the system and the security of data.

[0086] Example 2

[0087] This embodiment provides an example of wind power installation warning based on the wind power installation warning system of the above-mentioned embodiment.

[0088] The wind speed is obtained through a wind measuring tower. When the average wind speed exceeds 10m / s (10-minute average at hub height) or the gust exceeds 12m / s (2-second average at hub height), a warning is issued not to install the tower.

[0089] It should be noted that within the range from the ground to a height of 10 m, the wind speed can be considered to be basically uniform, that is, the wind speed within this range varies little, and a uniform wind speed value can be used for calculation.

[0090] Starting from a height of 10m, the wind speed gradually increases and usually increases with the increase in height. Within this height range, an appropriate height interval can be selected according to the actual situation, such as dividing a sub-segment every 10m or every 20m, and using the corresponding wind speed value in each sub-segment for calculation.

[0091] In the height range above 50m, the wind speed may be more complicated, because the wind speed at high altitude may be affected by more factors, such as terrain, airflow, etc. In this case, it is recommended to conduct more detailed wind speed measurement and analysis, and divide it into smaller sub-segments for calculation according to actual conditions.

[0092] The swing amplitude is the maximum horizontal displacement of the hoisted object.

[0093] =K×W×H×V, K is a coefficient set according to the actual situation, W is the weight of the hoisted object, H is the hanging height of the object, and V is the local wind speed. If the monitored deviation of the hoisted object and its accessories such as hoists and slings exceeds the safety threshold, a warning that the hoisting does not meet the specifications needs to be issued.

[0094] The monitoring equipment is used to obtain real-time images of the lifting operation, and the monitoring images are transmitted to the monitoring center for display. When the monitoring personnel find any irregular lifting behavior in the image, they should stop it in time.

[0095] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A wind power hoisting early warning system, characterized in that: The early warning system is used to provide early warning for wind power hoisting operations, and the early warning system includes: A monitoring subsystem, the monitoring subsystem comprising a wind tower, a displacement sensor and monitoring equipment, and used to obtain designated monitoring data generated during the hoisting process; A data processing subsystem, the data processing subsystem includes a data processing host, which is used to receive the specified monitoring data and perform data analysis to determine whether there is a risk; An alarm subsystem, the alarm subsystem receives an alarm instruction issued by the data processing subsystem when it is determined that there is a risk, and issues a warning; A monitoring center, the monitoring center is used to display the monitoring images acquired by the monitoring equipment in real time; A communication subsystem, wherein the communication subsystem is used to realize data communication among the monitoring subsystem, the data processing subsystem, the monitoring center and the alarm subsystem.

2. The wind power installation early warning system according to claim 1, characterized in that: The displacement sensor comprises an annular displacement sensor, and the annular displacement sensor is installed on a designated lifting device.

3. The wind power installation early warning system according to claim 1, characterized in that: The monitoring device includes at least one first camera and at least one second camera, the first camera is fixedly installed on the lifting rope, and the second camera is fixedly installed on the ground.

4. The wind power installation early warning system according to claim 3, characterized in that: The first camera cooperates with the hook on the hoisting equipment through a reinforcement bracket, so that the first camera is fixed on the top of the wind power hoisting rope.

5. The wind power installation early warning system according to claim 1, characterized in that: The data processing subsystem includes a digital signal processor with noise filtering and signal amplification functions.

6. The wind power installation early warning system according to claim 1, characterized in that: The communication subsystem uses LoRa wireless transmission equipment to realize information transmission.

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